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Volatile supply and sales markets, coupled with increasing product individualization and complex production processes, present significant challenges for manufacturing companies. These must navigate and adapt to ever-shifting external and internal factors while ensuring robustness against process variabilities and unforeseen events. This has a pronounced impact on production control, which serves as the operational intersection between production planning and the shop- floor resources, and necessitates the capability to manage intricate process interdependencies effectively. Considering the increasing dynamics and product diversification, alongside the need to maintain constant production performances, the implementation of innovative control strategies becomes crucial.
In recent years, the integration of Industry 4.0 technologies and machine learning methods has gained prominence in addressing emerging challenges in production applications. Within this context, this cumulative thesis analyzes deep learning based production systems based on five publications. Particular attention is paid to the applications of deep reinforcement learning, aiming to explore its potential in dynamic control contexts. Analysis reveal that deep reinforcement learning excels in various applications, especially in dynamic production control tasks. Its efficacy can be attributed to its interactive learning and real-time operational model. However, despite its evident utility, there are notable structural, organizational, and algorithmic gaps in the prevailing research. A predominant portion of deep reinforcement learning based approaches is limited to specific job shop scenarios and often overlooks the potential synergies in combined resources. Furthermore, it highlights the rare implementation of multi-agent systems and semi-heterarchical systems in practical settings. A notable gap remains in the integration of deep reinforcement learning into a hyper-heuristic.
To bridge these research gaps, this thesis introduces a deep reinforcement learning based hyper- heuristic for the control of modular production systems, developed in accordance with the design science research methodology. Implemented within a semi-heterarchical multi-agent framework, this approach achieves a threefold reduction in control and optimisation complexity while ensuring high scalability, adaptability, and robustness of the system. In comparative benchmarks, this control methodology outperforms rule-based heuristics, reducing throughput times and tardiness, and effectively incorporates customer and order-centric metrics. The control artifact facilitates a rapid scenario generation, motivating for further research efforts and bridging the gap to real-world applications. The overarching goal is to foster a synergy between theoretical insights and practical solutions, thereby enriching scientific discourse and addressing current industrial challenges.
Advancing digitalization is changing society and has far-reaching effects on people and companies. Fundamental to these changes are the new technological possibilities for processing data on an ever-increasing scale and for various purposes. The availability of large and high-quality data sets, especially those based on personal data, is crucial. They are used either to improve the productivity, quality, and individuality of products and services or to develop new types of services. Today, user behavior is tracked more actively and comprehensively than ever despite increasing legal requirements for protecting personal data worldwide. That increasingly raises ethical, moral, and social questions, which have moved to the forefront of the political debate, not least due to popular cases of data misuse. Given this discourse and the legal requirements, today's data management must fulfill three conditions: Legality or legal conformity of use and ethical legitimacy. Thirdly, the use of data should add value from a business perspective. Within the framework of these conditions, this cumulative dissertation pursues four research objectives with a focus on gaining a better understanding of
(1) the challenges of implementing privacy laws,
(2) the factors that influence customers' willingness to share personal data,
(3) the role of data protection for digital entrepreneurship, and
(4) the interdisciplinary scientific significance, its development, and its interrelationships.
Creative intensive processes
(2023)
Creativity – developing something new and useful – is a constant challenge in the working world. Work processes, services, or products must be sensibly adapted to changing times. To be able to analyze and, if necessary, adapt creativity in work processes, a precise understanding of these creative activities is necessary. Process modeling techniques are often used to capture business processes, represent them graphically and analyze them for adaptation possibilities. This has been very limited for creative work. An accurate understanding of creative work is subject to the challenge that, on the one hand, it is usually very complex and iterative. On the other hand, it is at least partially unpredictable as new things emerge. How can the complexity of creative business processes be adequately addressed and simultaneously manageable? This dissertation attempts to answer this question by first developing a precise process understanding of creative work. In an interdisciplinary approach, the literature on the process description of creativity-intensive work is analyzed from the perspective of psychology, organizational studies, and business informatics. In addition, a digital ethnographic study in the context of software development is used to analyze creative work. A model is developed based on which four elementary process components can be analyzed: Intention of the creative activity, Creation to develop the new, Evaluation to assess its meaningfulness, and Planning of the activities arising in the process – in short, the ICEP model. These four process elements are then translated into the Knockledge Modeling Description Language (KMDL), which was developed to capture and represent knowledge-intensive business processes. The modeling extension based on the ICEP model enables creative business processes to be identified and specified without the need for extensive modeling of all process details. The modeling extension proposed here was developed using ethnographic data and then applied to other organizational process contexts. The modeling method was applied to other business contexts and evaluated by external parties as part of two expert studies. The developed ICEP model provides an analytical framework for complex creative work processes. It can be comprehensively integrated into process models by transforming it into a modeling method, thus expanding the understanding of existing creative work in as-is process analyses.
Accurately solving classification problems nowadays is likely to be the most relevant machine learning task. Binary classification separating two classes only is algorithmically simpler but has fewer potential applications as many real-world problems are multi-class. On the reverse, separating only a subset of classes simplifies the classification task. Even though existing multi-class machine learning algorithms are very flexible regarding the number of classes, they assume that the target set Y is fixed and cannot be restricted once the training is finished. On the other hand, existing state-of-the-art production environments are becoming increasingly interconnected with the advance of Industry 4.0 and related technologies such that additional information can simplify the respective classification problems. In light of this, the main aim of this thesis is to introduce dynamic classification that generalizes multi-class classification such that the target class set can be restricted arbitrarily to a non-empty class subset M of Y at any time between two consecutive predictions.
This task is solved by a combination of two algorithmic approaches. First, classifier calibration, which transforms predictions into posterior probability estimates that are intended to be well calibrated. The analysis provided focuses on monotonic calibration and in particular corrects wrong statements that appeared in the literature. It also reveals that bin-based evaluation metrics, which became popular in recent years, are unjustified and should not be used at all. Next, the validity of Platt scaling, which is the most relevant parametric calibration approach, is analyzed in depth. In particular, its optimality for classifier predictions distributed according to four different families of probability distributions as well its equivalence with Beta calibration up to a sigmoidal preprocessing are proven. For non-monotonic calibration, extended variants on kernel density estimation and the ensemble method EKDE are introduced. Finally, the calibration techniques are evaluated using a simulation study with complete information as well as on a selection of 46 real-world data sets.
Building on this, classifier calibration is applied as part of decomposition-based classification that aims to reduce multi-class problems to simpler (usually binary) prediction tasks. For the involved fusing step performed at prediction time, a new approach based on evidence theory is presented that uses classifier calibration to model mass functions. This allows the analysis of decomposition-based classification against a strictly formal background and to prove closed-form equations for the overall combinations. Furthermore, the same formalism leads to a consistent integration of dynamic class information, yielding a theoretically justified and computationally tractable dynamic classification model. The insights gained from this modeling are combined with pairwise coupling, which is one of the most relevant reduction-based classification approaches, such that all individual predictions are combined with a weight. This not only generalizes existing works on pairwise coupling but also enables the integration of dynamic class information.
Lastly, a thorough empirical study is performed that compares all newly introduced approaches to existing state-of-the-art techniques. For this, evaluation metrics for dynamic classification are introduced that depend on corresponding sampling strategies. Thereafter, these are applied during a three-part evaluation. First, support vector machines and random forests are applied on 26 data sets from the UCI Machine Learning Repository. Second, two state-of-the-art deep neural networks are evaluated on five benchmark data sets from a relatively recent reference work. Here, computationally feasible strategies to apply the presented algorithms in combination with large-scale models are particularly relevant because a naive application is computationally intractable. Finally, reference data from a real-world process allowing the inclusion of dynamic class information are collected and evaluated. The results show that in combination with support vector machines and random forests, pairwise coupling approaches yield the best results, while in combination with deep neural networks, differences between the different approaches are mostly small to negligible. Most importantly, all results empirically confirm that dynamic classification succeeds in improving the respective prediction accuracies. Therefore, it is crucial to pass dynamic class information in respective applications, which requires an appropriate digital infrastructure.
Social networking sites
(2023)
Digitale und gesellschaftliche Entwicklungen fordern kontinuierliche Weiterbildung für Mitarbeiter im Vertrieb. Es halten sich in dieser Berufssparte aber immer noch einige Mythen zum Training von Vertriebsmitarbeitern. Unter anderem deshalb wurde in der Vergangenheit der Trainingsbedarf im Vertrieb stark vernachlässigt. Die Arbeit befasst sich deshalb zunächst mit der Frage, wie der Vertrieb in Deutschland aktuell geschult wird (unter Einbezug der Corona-Pandemie) und ob sich aus den Trainingsgewohnheiten erste Hinweise zur Erlangung eines strategischen Wettbewerbsvorteils ergeben könnten.
Dabei greift die Arbeit auf, dass Investitionen in das Training von Vertriebsmitarbeitern eine Anlage in die Wettbewerbsfähigkeit des Unternehmens sein könnten. Automatisierte Trainings, beispielsweise basierend auf Virtual Reality (VR) und Künstlicher Intelligenz (KI), könnten in der Aus- und Weiterbildung des Vertriebs einen effizienten Beitrag in der Sicherstellung eines strategischen Wettbewerbsvorteils leisten. Durch weitere Forschungsfragen befasst sich die Arbeit anschließend damit, wie ein automatisiertes Vertriebstraining mit KI- und VR-Inhalten unter Einbeziehung der Nutzer gestaltet werden muss, um Vertriebsmitarbeiter in einem dafür ausgewählten Verhandlungskontext zu trainieren. Dazu wird eine Anwendung mit Hilfe von Virtual Reality und Künstlicher Intelligenz in einem Verhandlungsdialog entwickelt, getestet und evaluiert.
Die vorliegende Arbeit liefert eine Basis für die Automatisierung von Vertriebstrainings und im erweiterten Sinne für Trainings im Allgemeinen.
Current business organizations want to be more efficient and constantly evolving to find ways to retain talent. It is well established that visionary leadership plays a vital role in organizational success and contributes to a better working environment. This study aims to determine the effect of visionary leadership on employees' perceived job satisfaction. Specifically, it investigates whether the mediators meaningfulness at work and commitment to the leader impact the relationship. I take support from job demand resource theory to explain the overarching model used in this study and broaden-and-build theory to leverage the use of mediators.
To test the hypotheses, evidence was collected in a multi-source, time-lagged design field study of 95 leader-follower dyads. The data was collected in a three-wave study, each survey appearing after one month. Data on employee perception of visionary leadership was collected in T1, data for both mediators were collected in T2, and employee perception of job satisfaction was collected in T3. The findings display that meaningfulness at work and commitment to the leader play positive intervening roles (in the form of a chain) in the indirect influence of visionary leadership on employee perceptions regarding job satisfaction.
This research offers contributions to literature and theory by first broadening the existing knowledge on the effects of visionary leadership on employees. Second, it contributes to the literature on constructs meaningfulness at work, commitment to the leader, and job satisfaction. Third, it sheds light on the mediation mechanism dealing with study variables in line with the proposed model. Fourth, it integrates two theories, job demand resource theory and broaden-and-build theory providing further evidence. Additionally, the study provides practical implications for business leaders and HR practitioners.
Overall, my study discusses the potential of visionary leadership behavior to elevate employee outcomes. The study aligns with previous research and answers several calls for further research on visionary leadership, job satisfaction, and mediation mechanism with meaningfulness at work and commitment to the leader.
Social networking site use and well-being - a nuanced understanding of a complex relationship
(2022)
Social Networking Sites (SNSs) are ubiquitous and attract an enormous chair of the digital population. Their functionalities allow users to connect and interact with others and weave complex social networks in which social information is continuously disseminated between users. Besides the social value SNSs are generating, they likewise attract companies and allow for new forms of marketing, thereby creating considerable economic value alike. However, as SNSs grew in popularity, so did concerns about the impact of their use on social interactions in general and the well-being of individual users in particular. While existing scientific evidence points to both risk as well as benefits of SNS use, research still lacks a profound understanding of which aspects of SNSs enable an impact on well-being and which psychological processes on the part of the users underly and explain this relationship. Therefore, this thesis is dedicated to an in-depth exploration of the relationship between SNS use and well-being and aims to answer how SNS use can impact well-being. Primarily, it focuses on the unique technological features that characterize SNSs and enable potential well- being alterations and on specific psychological processes on the part of the users, underlying and explaining the relationship. For this purpose, the thesis first introduces the concept of well- being. It continues by presenting SNSs’ unique technological features, divided into specifics of the content disseminated on SNSs and the network structure of SNSs. Further, the thesis introduces three classes of psychological processes assumed most relevant for the relationship between SNSs and well-being: other-focused, self-focused, and contrastive processes.. It is assumed that the course and quality of these common processes change in the SNS context and that a complex interplay between the unique features of SNSs and these processes determines how SNSs may ultimately affect users' well-being - both in positive and negative ways. The dissertation comprises seven research articles, each of which focusses on a particular set of SNS characteristics, their interplay with one or more of the proposed psychological processes, and ultimately the resulting effects on user well-being or its key resilience and risk factors. The seven articles investigate this relationship using different methodological approaches. Three articles are based on either systematic or narrative literature reviews, one applies an empirical cross-sectional research design, and three articles present an experimental investigation. Thematically, two articles revolve around SNS use’s effect on self-esteem. Three articles examine the specific role of the emotion of envy and its potential to establish and perpetuate a well-being-damaging social climate on SNSs. The two last articles of this thesis revolve around the established assumption that active and passive SNS use, as different modalities of SNS use, cause differential effects on users’ well-being due to the involvement of different psychological processes. The results of this thesis illustrate different ways how SNSs can affect users’ well-being. The results suggest that especially contrastive processes play a decisive role in explaining potential well-being risks for SNS users. Their interplay with certain SNS features seems to foster upward social comparisons and feelings of envy, potentially leading to a complex set of deleterious effects on users’ well-being. At the same time, the findings illuminate ways in which SNSs can benefit users and their self-esteem – especially when SNS use promotes self- focused and social-feedback-based other-focused processes. The thesis and their findings illustrate that the relationship between SNSs and well-being is complex. Therefore, a nuanced perspective, taking into consideration both the technological uniqueness of SNSs and the psychological processes they are enabling, is crucial to understand how these technologies affect their users in good and potentially harmful ways. On the one hand, the gathered insights contribute to research, providing novel insights into the complex relationship between SNS use and well-being. On the other hand, the results enable a focused and action-oriented derivation of recommendations for stakeholders such as individual users, policymakers, and platform providers. The findings of this thesis can help them to better combat SNS-related risks and ultimately ensure a healthy and sustainable environment for users - and thus also the economic values of SNSs - in the long term.
Public administrations confront fundamental challenges, including globalization, digitalization, and an eroding level of trust from society. By developing joint public service delivery with other stakeholders, public administrations can respond to these challenges. This increases the importance of inter-organizational governance—a development often referred to as New Public Governance, which to date has not been realized because public administrations focus on intra-organizational practices and follow the traditional “governmental chain.”
E-government initiatives, which can lead to high levels of interconnected public services, are currently perceived as insufficient to meet this goal. They are not designed holistically and merely affect the interactions of public and non-public stakeholders. A fundamental shift toward a joint public service delivery would require scrutiny of established processes, roles, and interactions between stakeholders.
Various scientists and practitioners within the public sector assume that the use of blockchain institutional technology could fundamentally change the relationship between public and non-public stakeholders. At first glance, inter-organizational, joint public service delivery could benefit from the use of blockchain. This dissertation aims to shed light on this widespread assumption. Hence, the objective of this dissertation is to substantiate the effect of blockchain on the relationship between public administrations and non-public stakeholders.
This objective is pursued by defining three major areas of interest. First, this dissertation strives to answer the question of whether or not blockchain is suited to enable New Public Governance and to identify instances where blockchain may not be the proper solution. The second area aims to understand empirically the status quo of existing blockchain implementations in the public sector and whether they comply with the major theoretical conclusions. The third area investigates the changing role of public administrations, as the blockchain ecosystem can significantly increase the number of stakeholders.
Corresponding research is conducted to provide insights into these areas, for example, combining theoretical concepts with empirical actualities, conducting interviews with subject matter experts and key stakeholders of leading blockchain implementations, and performing a comprehensive stakeholder analysis, followed by visualization of its results.
The results of this dissertation demonstrate that blockchain can support New Public Governance in many ways while having a minor impact on certain aspects (e.g., decentralized control), which account for this public service paradigm. Furthermore, the existing projects indicate changes to relationships between public administrations and non-public stakeholders, although not necessarily the fundamental shift proposed by New Public Governance. Lastly, the results suggest that power relations are shifting, including the decreasing influence of public administrations within the blockchain ecosystem. The results raise questions about the governance models and regulations required to support mature solutions and the further diffusion of blockchain for public service delivery.
Sustainable urban growth
(2022)
This dissertation explores the determinants for sustainable and socially optimalgrowth in a city. Two general equilibrium models establish the base for this evaluation, each adding its puzzle piece to the urban sustainability discourse and examining the role of non-market-based and market-based policies for balanced growth and welfare improvements in different theory settings. Sustainable urban growth either calls for policy actions or a green energy transition. Further, R&D market failures can pose severe challenges to the sustainability of urban growth and the social optimality of decentralized allocation decisions. Still, a careful (holistic) combination of policy instruments can achieve sustainable growth and even be first best.
Das Ziel dieser Arbeit ist die Entwicklung eines Industrie 4.0 Reifegradindex für produzierende Unternehmen (KMU und Mittelstand) mit diskreter Produktion. Die Motivation zu dieser Arbeit entstand aus dem Zögern vieler Unternehmen – insbesondere KMU und Mittelstand – bei der Transformation in Richtung Industrie 4.0. Im Rahmen einer Marktstudie konnte belegt werden, dass 86 Prozent der befragten produzierenden Unternehmen kein für ihr Unternehmen geeignetes Industrie 4.0 Reifegradmodell gefunden haben, mit dem sie ihren Status Quo bewerten und Maßnahmen für einen höheren Grad der Reife ableiten könnten. Die Bewertung bestehender Reifegradmodelle zeigte Defizite hinsichtlich der Industrie 4.0 Abdeckung, der Betrachtung der sozio-technischen Dimensionen Mensch, Technik und Organisation sowie der Betrachtung von Management und Unternehmenskultur. Basierend auf den aktuellen Industrie 4.0 Technologien und Handlungsbereichen wurde ein neues, modular aufgebautes Industrie 4.0 Reifegradmodell entwickelt, das auf einer ganzheitlichen Betrachtung aller sozio-technischen Dimensionen Mensch, Technik und Organisation sowie deren Schnittstellen basiert. Das Modell ermittelt neben dem Overall Industry 4.0 Maturity Index (OI4MI) vier weitere Indizes zur Bewertung der Industrie 4.0 Reife des Unternehmens. Das Modell wurde bei einem Unternehmen validiert und steht nun als Template für darauf aufbauende Forschungsarbeiten zur Verfügung.
Digital transformation (DT) has not only been a major challenge in recent years, it is also supposed to continue to enormously impact our society and economy in the forthcoming decade. On the one hand, digital technologies have emerged, diffusing and determining our private and professional lives. On the other hand, digital platforms have leveraged the potentials of digital technologies to provide new business models. These dynamics have a massive effect on individuals, companies, and entire ecosystems. Digital technologies and platforms have changed the way persons consume or interact with each other. Moreover, they offer companies new opportunities to conduct their business in terms of value creation (e.g., business processes), value proposition (e.g., business models), or customer interaction (e.g., communication channels), i.e., the three dimensions of DT. However, they also can become a threat for a company's competitiveness or even survival. Eventually, the emergence, diffusion, and employment of digital technologies and platforms bear the potential to transform entire markets and ecosystems.
Against this background, IS research has explored and theorized the phenomena in the context of DT in the past decade, but not to its full extent. This is not surprising, given the complexity and pervasiveness of DT, which still requires far more research to further understand DT with its interdependencies in its entirety and in greater detail, particularly through the IS perspective at the confluence of technology, economy, and society. Consequently, the IS research discipline has determined and emphasized several relevant research gaps for exploring and understanding DT, including empirical data, theories as well as knowledge of the dynamic and transformative capabilities of digital technologies and platforms for both organizations and entire industries.
Hence, this thesis aims to address these research gaps on the IS research agenda and consists of two streams. The first stream of this thesis includes four papers that investigate the impact of digital technologies on organizations. In particular, these papers study the effects of new technologies on firms (paper II.1) and their innovative capabilities (II.2), the nature and characteristics of data-driven business models (II.3), and current developments in research and practice regarding on-demand healthcare (II.4). Consequently, the papers provide novel insights on the dynamic capabilities of digital technologies along the three dimensions of DT. Furthermore, they offer companies some opportunities to systematically explore, employ, and evaluate digital technologies to modify or redesign their organizations or business models.
The second stream comprises three papers that explore and theorize the impact of digital platforms on traditional companies, markets, and the economy and society at large. At this, paper III.1 examines the implications for the business of traditional insurance companies through the emergence and diffusion of multi-sided platforms, particularly in terms of value creation, value proposition, and customer interaction. Paper III.2 approaches the platform impact more holistically and investigates how the ongoing digital transformation and "platformization" in healthcare lastingly transform value creation in the healthcare market. Paper III.3 moves on from the level of single businesses or markets to the regulatory problems that result from the platform economy for economy and society, and proposes appropriate regulatory approaches for addressing these problems. Hence, these papers bring new insights on the table about the transformative capabilities of digital platforms for incumbent companies in particular and entire ecosystems in general.
Altogether, this thesis contributes to the understanding of the impact of DT on organizations and markets through the conduction of multiple-case study analyses that are systematically reflected with the current state of the art in research. On this empirical basis, the thesis also provides conceptual models, taxonomies, and frameworks that help describing, explaining, or predicting the impact of digital technologies and digital platforms on companies, markets and the economy or society at large from an interdisciplinary viewpoint.
Traditional organizations are strongly encouraged by emerging digital customer behavior and digital competition to transform their businesses for the digital age. Incumbents are particularly exposed to the field of tension between maintaining and renewing their business model. Banking is one of the industries most affected by digitalization, with a large stream of digital innovations around Fintech. Most research contributions focus on digital innovations, such as Fintech, but there are only a few studies on the related challenges and perspectives of incumbent organizations, such as traditional banks. Against this background, this dissertation examines the specific causes, effects and solutions for traditional banks in digital transformation − an underrepresented research area so far.
The first part of the thesis examines how digitalization has changed the latent customer expectations in banking and studies the underlying technological drivers of evolving business-to-consumer (B2C) business models. Online consumer reviews are systematized to identify latent concepts of customer behavior and future decision paths as strategic digitalization effects. Furthermore, the service attribute preferences, the impact of influencing factors and the underlying customer segments are uncovered for checking accounts in a discrete choice experiment. The dissertation contributes here to customer behavior research in digital transformation, moving beyond the technology acceptance model. In addition, the dissertation systematizes value proposition types in the evolving discourse around smart products and services as key drivers of business models and market power in the platform economy.
The second part of the thesis focuses on the effects of digital transformation on the strategy development of financial service providers, which are classified along with their firm performance levels. Standard types are derived based on fuzzy-set qualitative comparative analysis (fsQCA), with facade digitalization as one typical standard type for low performing incumbent banks that lack a holistic strategic response to digital transformation. Based on this, the contradictory impact of digitalization measures on key business figures is examined for German savings banks, confirming that the shift towards digital customer interaction was not accompanied by new revenue models diminishing bank profitability. The dissertation further contributes to the discourse on digitalized work designs and the consequences for job perceptions in banking customer advisory. The threefold impact of the IT support perceived in customer interaction on the job satisfaction of customer advisors is disentangled.
In the third part of the dissertation, solutions are developed design-oriented for core action areas of digitalized business models, i.e., data and platforms. A consolidated taxonomy for data-driven business models and a future reference model for digital banking have been developed. The impact of the platform economy is demonstrated here using the example of the market entry by Bigtech. The role-based e3-value modeling is extended by meta-roles and role segments and linked to value co-creation mapping in VDML. In this way, the dissertation extends enterprise modeling research on platform ecosystems and value co-creation using the example of banking.
Ausgangspunkt der Dissertation ist die Fragestellung, warum es relativ wenige weibliche Wirtschaftsprüfer/innen in Deutschland gibt. Laut Mitgliederstatistik der Wirtschaftsprüferkammer vom 1. Januar 2020 liegt der Frauenanteil im Berufs-stand bei rund 17 %. Einschlägige Literatur zeigt, dass auf Ebene der Berufseinstei-ger/innen im Segment der zehn größten Wirtschaftsprüfungsgesellschaften das Ge-schlechterverhältnis recht ausgewogen ist. Jedoch liegt der Frauenanteil auf der Hierarchieebene „Manager“, für die üblicherweise ein bestandenes Berufsexamen Voraussetzung ist, bereits deutlich niedriger und sinkt mit jeder weiteren Hierar-chiestufe. Die Zielstellung der Dissertation wurde somit dahingehend spezifiziert, diejenigen Faktoren zu analysieren, die dazu beitragen können, dass die relative Repräsentation von Frauen im Segment der zehn größten Wirtschaftsprüfungsge-sellschaften Deutschlands ab der Manager-Ebene (d. h. üblicherweise ab der Schwelle der examinierten Wirtschaftsprüfer/innen) sinkt. Der Fokus der Analyse liegt daher auf Ebene der erfahrenen Prüfungsassistenten und Prüfungsassistentin-nen (Senior), um diese Schwelle unmittelbar vor der Manager-Ebene detailliert zu beleuchten.
Neben der Auswertung von Erkenntnissen aus der internationalen Prüfungsfor-schung wurde eine empirische Studie unter den Senior von sechs der zehn größten Wirtschaftsprüfungsgesellschaften in Deutschland durchgeführt. Die empirischen Ergebnisse wurden mittels deskriptiver Datenanalyse ausgewertet und dahinge-hend analysiert, für welche der zuvor definierten Aspekte signifikante geschlechts-spezifische Unterschiede zu beobachten sind. Für ausgewählte Aspekte wurde zu-dem analysiert, ob es Unterschiede zwischen weiblichen/männlichen Senior mit Kind/ern und ohne Kind/er gibt. Insgesamt wurden für zahlreiche Aspekte ge-schlechtsspezifische Unterschiede und Unterschiede zwischen Senior mit Kind/ern und ohne Kind/er gefunden. Es zeigt sich außerdem, dass neben der beruflichen Situation auch die individuellen Eigenschaften und das private Umfeld von Bedeu-tung sind. Im Rahmen der beruflichen Situation spielen sowohl die Wahrnehmung der aktuellen beruflichen Situation eine Rolle als auch u. a. die Erwartungen der Senior an die mögliche künftige Manager-Position, an das Wirtschaftsprüfungsexa-men und an weitere berufliche Perspektiven.
Fördermittelfinanzierte Gründungsunterstützungsangebote waren in den EU-Förderperioden 2007-2013 und 2014-2020 ein wichtiges Element der Hochschulgründungsförderung im Land Brandenburg. Aufgrund der positiven wirtschaftlichen Entwicklung des Landes, reduzierte sich das Fördervolumen in der gleichen Zeit jedoch stetig. Für die EU-Förderperiode 2021-2027 steht eine weitere Reduzierung der Fördermittel bereits fest. In der Folge wird es, ohne Anpassungen der etablierten Förderstrukturen, zur weiteren Reduzierung oder Erosion der Gründungsunterstützungsangebote an Brandenburger Hochschulen kommen. Die vorliegende Arbeit befasst sich daher u.a. mit der Frage, wie ein theoretisches Referenzmodell zur fördermittelfinanzierten Hochschulgründungsberatung gestaltet sein kann, um den reduzierten Fördersätzen bei gleichzeitiger Aufrechterhaltung der Angebotsvielfalt gerecht zu werden.
Zur Beantwortung dieser Frage wird als Untersuchungsobjekt das Förderprojekt BIEM Startup Navigator herangezogen. Das Gründungsberatungsprojekt BIEM Startup Navigator wurde von 2010 bis 2014 an sechs Brandenburger Hochschulen durchgeführt. Mit Hilfe der Modelle und Prämissen der Prinzipal-Agent-Theorie wird zunächst ein theoretischer Rahmen aufgespannt, auf dessen Grundlage die empirische Untersuchung erfolgt. Anhand der Prinzipal-Agent-Theorie werden die beteiligten Organisationen, Individuen und Institutionen aufgezeigt. Weiterhin werden die wesentlichen Problemfelder und Lösungsansätze der Prinzipal-Agent-Theorie für die Untersuchung des BIEM Startup Navigators diskutiert.
Im Untersuchungsverlauf werden u.a. die Konzepte zur Durchführung des Förderprojekts an sechs Hochschulstandorten, die Daten von 610 Teilnehmenden und 288 Gründungen analysiert, um so sachlogische Zusammenhänge und Wechselwirkungen identifizieren und beschreiben zu können. Es werden unterschiedliche theoretische Annahmen zu den Bereichen Projekteffektivität bzw. Projekteffizienz, Kostenverteilung und zur konzeptionellen Ausgestaltung in Form von 24 Arbeitshypothesen formuliert und auf die Untersuchung übertragen. Die Verifizierung bzw. Falsifizierung der Hypothesen erfolgt auf Grundlage der kombinierten Erkenntnisse aus Literaturrecherchen und den Ergebnissen der empirischen Untersuchung.
Im Verlauf der Arbeit gelingt es, die in der Prinzipal-Agent-Theorie auftretenden Agencykosten auch am Beispiel des BIEM Startup Navigators zu beschreiben und ex post Ineffizienzen in den durchgeführten Screening- und Signalingprozessen aufzuzeigen.
Mit Hilfe des im Verlauf der Arbeit entwickelten theoretischen Referenzmodells zur fördermittelfinanzierten Gründungsberatung an Brandenburger Hochschulen soll es gelingen, den sinkenden EU-Fördermitteln, ohne eine gleichzeitige Reduzierung der Gründungsunterstützungsangebote an den Hochschulen, gerecht zu werden. Hierfür zeigt das theoretische Referenzmodell wie die Ergebnisse der empirischen Untersuchung genutzt werden können, um die Agencykosten der fördermittelfinanzierten Gründungsberatung zu reduzieren.
Inequalities in health are a prevalent feature of societies. And as societies, we condemn inequalities that are rooted in immutable circumstances such as gender, race, and parental background. Consequently, policy makers are interested in measuring and understanding the causes of health inequalities rooted in circumstances. However, identifying causal estimates of these relationships is very ambitious for reasons such as the presence of confounders or measurement error in the data. This thesis contributes to this ambitious endeavour by addressing these challenges in four chapters.
In the first Chapter, I use 25 years of rich health information to describe three features of intergenerational health mobility in Germany. First, we describe the joint permanent health distribution of the parents and their children. A ten percentile increase in parental permanent health is associated with a 2.3 percentile increase in their child’s health. Second, a percentile point increase in permanent health ranks is associated with a 0.8% to 1.4% increase in permanent income for, both, children, and parents, respectively. Non-linearities in the association between permanent health and income create incentives to escape the bottom of the permanent health distribution. Third, upward mobility in permanent health varies with parental socio-economic status.
In the second Chapter, we estimate the effect of maternal schooling on children’s mental health in adulthood. Using the Socio-Economic Panel and the mental health measure based on the SF-12 questionnaire, we exploit a compulsory schooling law reform to identify the causal effect of maternal schooling on children’s mental health. While the theoretical considerations are not clear, we do not find that the mother’s schooling has an effect on the mental health of the children. However, we find a positive effect on children’s physical health operating mainly through physical functioning. In addition, albeit with the absence of a reduced-form effect on mental health, we find evidence that the number of friends moderates the relationship between maternal schooling and their children’s mental health.
In the third Chapter, against a background of increasing violence against non-natives, we estimate the effect of hate crime on refugees’ mental health in Germany. For this purpose, we combine two datasets: administrative records on xenophobic crime against refugee shelters by the Federal Criminal Office and the IAB-BAMF-SOEP Survey of Refugees. We apply a regression discontinuity design in time to estimate the effect of interest. Our results indicate that hate crime has a substantial negative effect on several mental health indicators, including the Mental Component Summary score and the Patient Health Questionnaire-4 score. The effects are stronger for refugees with closer geographic proximity to the focal hate crime and refugees with low country-specific human capital. While the estimated effect is only transitory, we argue that negative mental health shocks during the critical period after arrival have important long-term consequences.
In the last Chapter of this thesis, we investigate how the economic consequences of the pandemic and the government-mandated measures to contain its spread affect the self-employed – particularly women– in Germany. For our analysis, we use representative, real-time survey data in which respondents were asked about their situation during the COVID-19 pandemic. Our findings indicate that among the self-employed, who generally face a higher likelihood of income losses due to COVID-19 than employees, women are 35% more likely to experience income losses than their male counterparts. We do not find a comparable gender gap among employees. Our results further suggest that the gender gap among the self-employed is largely explained by the fact that women disproportionately work in industries that are more severely affected by the COVID-19 pandemic. Our analysis of potential mechanisms reveals that women are significantly more likely to be impacted by government-imposed restrictions, e.g., the regulation of opening hours. We conclude that future policy measures intending to mitigate the consequences of such shocks should account for this considerable variation in economic hardship.
This paper-based dissertation aims to contribute to the open innovation (OI) and technology management (TM) research fields by investigating their mechanisms, and potentials at the operational level. The dissertation connects the well-known concept of technology management with OI formats and applies these on specific manufacturing technologies within a clearly defined setting.
Technological breakthroughs force firms to continuously adapt and reinvent themselves. The pace of technological innovation and their impact on firms is constantly increasing due to more connected infrastructure and accessible resources (i.e. data, knowledge). Especially in the manufacturing sector it is one key element to leverage new technologies to stay competitive. These technological shifts call for new management practices.
TM supports firms with various tools to manage these shifts at different levels in the firm. It is a multifunctional and multidisciplinary field as it deals with all aspects of integrating technological issues into business decision-making and is directly relevant to a number of core business processes. Thus, it makes sense to utilize this theory and their practices as a foundation of this dissertation. However, considering the increasing complexity and number of technologies it is not sufficient anymore for firms to only rely on previous internal R&D and managerial practices. OI can expanse these practices by involving distributed innovation processes and accessing further external knowledge sources. This expansion can lead to an increasing innovation performance and thereby accelerate the time-to-market of technologies.
Research in this dissertation was based on the expectations that OI formats will support the R&D activities of manufacturing technologies on the operational level by providing access to resources, knowledge, and leading-edge technology. The dissertation represents uniqueness regarding the rich practical data sets (observations, internal documents, project reviews) drawn from a very large German high-tech firm. The researcher was embedded in an R&D unit within the operational TM department for manufacturing technologies. The analyses include 1.) an exploratory in-depth analysis of a crowdsourcing initiative to elaborate the impact on specific manufacturing technologies, 2.) a deductive approach for developing a technology evaluation score model to create a common understanding of the value of selected manufacturing technologies at the operational level, and 3.) an abductive reasoning approach in form of a longitudinal case study to derive important indicator for the in-process activities of science-based partnership university-industry collaboration format. Thereby, the dissertation contributed to research and practice 1.) linkages of TM and OI practices to assimilate technologies at the operational level, 2.) insights about the impact of CS on manufacturing technologies and a related guideline to execute CS initiatives in this specific environment 3.) introduction of manufacturing readiness levels and further criteria into the TM and OI research field to support decision-makers in the firm in gaining a common understanding of the maturity of manufacturing technologies and, 4.) context-specific important indicators for science based university-industry collaboration projects and a holistic framework to connect TM with the university-industry collaboration approach
The findings of this dissertation illustrate that OI formats can support the acceleration of time-to-market of manufacturing technologies and further improve the technical requirements of the product by leveraging external capabilities. The conclusions and implications made are intended to foster further research and improve managerial practices to evolve TM into an open collaborative context with interconnectivities between all internal and external involved technologies, individuals and organizational levels.
Essays on Macroeconomics
(2021)
This dissertation consists of four self-contained papers. Each paper deals with a specific macroeconomic question. The first paper assesses the distributional implications of environmental policies from a general equilibrium macroeconomic perspective. I develop a New-Keynesian model with several types of uncertainties and frictions that incorporates liquidity constrained households. The model is calibrated to match the German economy and the numerical results show that climate policy instruments can be associated with regressive welfare effects. Furthermore, the analysis shows that these effects can be mitigated through an appropriate revenue recycling scheme. The second paper deals with short-run inequality dynamics within a real business cycle model. An empirical evaluation shows that the cyclical components of income inequality, the capital share and real GDP are correlated. We develop tractable representation of common inequality indicators in the general equilibrium model and show that the observed pattern is driven by innovations in the capital share. A Bayesian estimation of the model for the United States with data for the period 1948 to 2017 indicates that the model provides a reasonable fit for the data and successfully replicates the observed pattern of cyclical correlations. The third paper empirically examines the effects of banking regulation on the risk-relationship between sovereigns and banks. Based on a comprehensive data set of the European banking sector, we find that the implementation of the novel European banking regulation framework significantly contributed to a weakening of the risk-link between sovereigns and banks.The fourth paper empirically examines the role of institutional experience for institutional development in transition economies. To capture institutional experience, we develop a novel index, based on historical country records. The results of cross-sectional and panel estimations suggest that institutional experience helps to explain the divergent economic and institutional development in transition economies after the dissolution of the Soviet Union.
Digital inclusion
(2021)
In this thesis, we tackle two social disruptions: recent refugee waves in Germany and the COVID-19 pandemic. We focus on the use of information and communication technology (ICT) as a key means of alleviating these disruptions and promoting social inclusion. As social disruptions typically lead to frustration and fragmentation, it is essential to ensure the social inclusion of individuals and societies during such times.
In the context of the social inclusion of refugees, we focus on the Syrian refugees who arrived in Germany as of 2015, as they form a large and coherent refugee community. In particular, we address the role of ICTs in refugees’ social inclusion and investigate how different ICTs (especially smartphones and social networks) can foster refugees’ integration and social inclusion. In the context of the COVID-19 pandemic, we focus on the widespread unconventional working model of work from home (WFH). Our research here centers on the main constructs of WFH and the key differences in WFH experiences based on personal characteristics such as gender and parental status.
We reveal novel insights through four well-established research methods: literature review, mixed methods, qualitative method, and quantitative method. The results of our research have been published in the form of eight articles in major information systems venues and journals. Key results from the refugee research stream include the following: Smartphones represent a central component of refugee ICT use; refugees view ICT as a source of information and power; the social connectedness of refugees is strongly correlated with their Internet use; refugees are not relying solely on traditional methods to learn the German language or pursue further education; the ability to use smartphones anytime and anywhere gives refugees an empowering feeling of global connectedness; and ICTs empower refugees on three levels (community participation, sense of control, and self-efficacy).
Key insights from the COVID-19 WFH stream include: Gender and the presence of children under the age of 18 affect workers’ control over their time, technology usefulness, and WFH conflicts, while not affecting their WFH attitudes; and both personal and technology-related factors affect an individual’s attitude toward WFH and their productivity. Further insights are being gathered at the time of submitting this thesis.
This thesis contributes to the discussion within the information systems community regarding how to use different ICT solutions to promote the social inclusion of refugees in their new communities and foster an inclusive society. It also adds to the growing body of research on COVID-19, in particular on the sudden workplace transformation to WFH. The insights gathered in this thesis reveal theoretical implications and future opportunities for research in the field of information systems, practical implications for relevant stakeholders, and social implications related to the refugee crisis and the COVID-19 pandemic that must be addressed.
Die vorliegende Arbeit befasst sich mit Gründungen durch Akademikerinnen und Akademiker mit Migrationshintergrund. Dabei wurden vor allem der Bezug dieser Gründungen zu der Umwelt – dem Gründerökosystem –, in der sie stattfinden, sowie ihre gegenseitigen Wechselwirkungen untersucht. Der Forschungsgegenstand ist die Schnittstelle aus den Bereichen Gründungen, Migrantentum und Hochqualifikation. Der Fokus auf die sehr spezifische Zielgruppe Gründungen durch Akademikerinnen und Akademiker mit Migrationshintergrund füllt eine wichtige Lücke in der bisherigen Forschung.
Methodisch gesehen bedient sich diese Arbeit eines theoretischen Bezugsrahmens. Dieser besteht aus der neoinstitutionalistischen Organisationstheorie (Meyer & Rowan 1977), dem Ressourcenabhängigkeitsansatz (Pfeffer & Salancik 1978) sowie dem sechs-dimensionalen Modell des Gründerökosystems (Isenberg 2011). Gründungen durch Akademikerinnen und Akademiker mit Migrationshintergrund müssen ihre interne Ausgestaltung an die Anforderung der institutionellen Umwelt anpassen, um die notwendige Legitimität zu sichern. Dadurch können bei unterschiedlichen Gründungen isomorphe Organisationsstrukturen entstehen. Darüber hinaus können akademische Gründende mit Migrationshintergrund durch interorganisatorische Aktivitäten den Zugang zu nicht-substituierbaren Ressourcen für die Unternehmensgründung bzw. Geschäftsentwicklung ermöglichen bzw. erleichtern. Daher ist die Kombination beider Theorien und des Erklärungsansatzes ein effektives und passendes Analysetool für die vorliegende Forschungsarbeit und schafft sowohl auf Mikro- als auch auf Makroebene für die Leserinnen und Leser ein vollständiges Gesamtbild.
Die vorliegende Arbeit beinhaltet nicht nur Daten aus Sekundärquellen und bereits vorhandenen quantitativen Studien im deskriptiven Teil, sondern auch direkte Informationen durch eigene qualitative Untersuchung im empirischen Teil. Dafür wurden insgesamt 23 semistrukturierte Experteninterviews durchgeführt. Durch die Inhaltsanalyse nach Mayring (2014) wurden mehrere Kategorien herausgefiltert; dazu zählen bspw. umweltbezogene Einflussfaktoren auf Legitimität sowie nicht-substituierbare Ressourcen für Gründungen durch Akademikerinnen und Akademiker. Darüber hinaus wurden durch die Empirie einige Hypothesen für weitere quantitative Forschungen in der Zukunft aufgestellt und konkrete Handlungsempfehlungen für die Praxis gegeben.
Media artists have been struggling for financial survival ever since media art came into being. The non-material value of the artwork, a provocative attitude towards the traditional arts world and originally anti-capitalist mindset of the movement makes it particularly difficult to provide a constructive solution. However, a cultural entrepreneurial approach can be used to build a framework in order to find a balance between culture and business while ensuring that the cultural mission remains the top priority.
Trotz der hohen innovationspolitischen Bedeutung der außeruniversitären Forschungseinrichtungen (AUF) sind sie bisher selten Gegenstand empirischer Untersuchungen. Keine der bisher vorliegenden Arbeiten legt ihren Fokus auf die Zusammenarbeit von Wissenschaftler:innen in Forschungsteams, obwohl wissenschaftliche Zusammenarbeit ein weitgehend unerforschtes Gebiet ist. Dies verwundert insofern, da gerade innovative und komplexe Aufgaben, wie sie im Bereich der Forschung bestehen, das kreative Potenzial Einzelner sowie eine gut funktionierende Kooperation der einzelnen Individuen benötigen. Die Zusammenarbeit von Wissenschaftler:innen in den AUF findet in einem kompetitiven Umfeld statt. Einerseits stehen die AUF auf Organisationsebene im Wettbewerb zueinander und konkurrieren um Forschungsgelder und wissenschaftliches Personal. Andererseits ist die kompetitive Einwerbung von Drittmitteln für Wissenschaftler:innen essentiell, um Leistungen, gemessen an hochrangigen Publikationen und Drittmittelquoten, für die eigene Karriere zu erbringen. Ein zunehmender Anteil an Drittmittelfinanzierung in den Einrichtungen hat zudem Auswirkungen auf die Personalpolitik und die Anzahl befristeter Arbeitsverhältnisse. Gleichzeitig wird Forschungsförderung häufig an Kollaborationen von Wissenschaftler:innen geknüpft und bei Publikationen und Forschungsergebnissen zeigen Studien, dass diese überwiegend das Resultat von mehreren Personen sind. Dieses Spannungsfeld zwischen Zusammenarbeit und Wettbewerb wird verstärkt durch die fehlenden Möglichkeiten für den wissenschaftlichen Nachwuchs in der Wissenschaft zu bleiben. Auch wenn die Bundesregierung auf diese Herausforderungen reagiert, muss der Einzelne seinen Weg zwischen Zusammenarbeit und Konkurrenz finden.
Zielsetzung dieser Arbeit ist es, nachfolgende Forschungsfragen zu beantworten:
1. Wie können naturwissenschaftliche Forschungsteams in AUF charakterisiert werden?
2. Wie agiert die einzelne Forscherin/ der einzelne Forscher im Spannungsfeld zwischen Kooperation und Wettbewerb?
3. Welche Potentiale und Hemmnisse lassen sich auf Individual-, Team- und Umweltebene für eine erfolgreiche Arbeit von Forschungsteams in AUF ausmachen?
Um die Forschungsfragen beantworten zu können, wurde eine empirische Untersuchung im Mixed Method Design, bestehend aus einer deutschlandweiten Onlinebefragung von 574 Naturwissenschaftler:innen in AUF und qualitativen Interviews mit 122 Teammitgliedern aus 20 naturwissenschaftlichen Forschungsteams in AUF, durchgeführt.
Die Ergebnisse zeigen, dass die Teams eher als Arbeitsgruppen bezeichnet werden können, da v.a. in der Grundlagenforschung kein gemeinsames Ziel als vielmehr ein gemeinsamer inhaltlicher Rahmen vorliegt, in dem die Forschenden ihre individuellen Ziele verfolgen. Die Arbeit im Team wird überwiegend als positiv und kooperativ beschrieben und ist v.a. durch gegenseitige Unterstützung bei Problemen und weniger durch einen thematisch wissenschaftlichen Erkenntnisprozess geprägt. Dieser findet vielmehr in Form kleiner Untergruppen innerhalb der Arbeitsgruppe und vor allem in enger Abstimmung mit der Teamleitung (TL) statt. Als wettbewerbsverschärfend werden vor allem organisationale Rahmenbedingungen, wie Befristungen und der Flaschenhals, thematisiert.
Die TL nimmt die zentrale Rolle im Team ein, trägt die wissenschaftliche, finanzielle und personelle Verantwortung und muss den Forderungen der Organisation gerecht werden. Promovierende konzentrieren sich fast ausschließlich auf ihre Qualifizierungsarbeit. Bei Postdocs ist ein Spannungsfeld zu erkennen, da sie eigene Projekte und Ziele verfolgen, die neben den Anforderungen der TL bestehen. Die Gatekeeperfunktion der TL wird gestärkt durch ihre Rolle bei der Weitergabe von karriererelevanten Informationen im Team, z.B. bei anstehenden Konferenzen. Sie hat die wichtigen Kontakte, sorgt für die Vernetzung des Teams und ist für die Netzwerkpflege zuständig. Der wissenschaftliche Nachwuchs verlässt sich bei seinen Aufgaben und den karriererelevanten Faktoren sehr auf ihre Unterstützung. Nicht-wissenschaftliche Mitarbeitende gilt es stärker zu berücksichtigen, dies sowohl in ihrer Funktion in den Teams als auch in der Gesamtorganisation. Sie sind die zentralen Ansprechpersonen des wissenschaftlichen Personals und sorgen für eine Kontinuität bei der Wissensspeicherung und -weitergabe. Für die Organisationen gilt es, unterstützende Rahmen-, Arbeits- und Aufgabenbedingungen für die TL zu schaffen und den wissenschaftlichen Nachwuchs bei einer frühzeitigen Verantwortung für wissenschaftliche und karriererelevante Aufgaben zu unterstützen. Dafür bedarf es verbesserter Personalentwicklungskonzepte und -angebote. Darüber hinaus gilt es, Kooperationsmöglichkeiten innerhalb der Einrichtung und zwischen den Gruppen zu schaffen, z.B. durch offene Räume und Netzwerkmöglichkeiten, und innovative Arbeitsumgebungen zu fördern, um neue Formen einer innovationsfreundlichen Wissenschaftskultur zu etablieren.
Foresight in networks
(2021)
The goal of this dissertation is to contribute to the corporate foresight research field by investigating capabilities, practices, and challenges particularly in the context of interorganizational settings and networked organizations informed by the theoretical perspectives of the relational view and dynamic capabilities.
Firms are facing an increasingly complex environment and highly complex product and service landscapes that often require multiple organizations to collaborate for innovation and offerings. Public-private partnerships that are targeted at supporting this have been introduced by policy-makers in the recent past. One example for such a partnership is the European Institute of Innovation and Technology (EIT) with multiple Knowledge and Innovation Communities (KICs). The EIT has been initiated by the European Commission in 2008 with the ambition of addressing grand societal challenges, driving innovativeness of European companies, and supporting systemic change. The resulting network organizations are managed similarly to corporations with managers, boards, and firm-like governance structures. EIT Digital as one of the EIT KICs are a central case of this work.
Research in this dissertation was based on the expectation that corporate foresight activities will increasingly be embedded in such interorganizational settings and a) can draw on such settings for the benefit of themselves and b) may contribute to shared visions, trust building and planning in these network organizations. In this dissertation the EIT Digital (formerly EIT ICT Labs) is a central case, supplemented with insights from three additional cases. I draw on the rich theoretical understanding of the resource-based view, dynamic capabilities, and particularly the relational view to further the discussion in the field of corporate foresight—defined as foresight in organizations in contrast to foresight with a macro-economical perspective—towards a relational understanding. Further, I use and revisit Rohrbeck’s Maturity Model for the Future Orientation of Firms as conceptual frame for corporate foresight in interorganizational settings. The analyses—available as four individual publications complemented by on additional chapter—are designed as exploratory case studies based on multiple data sources including an interview series with 49 persons, two surveys (N=54, n=20), three supplementary interviews, access to key documents and presentations, and observation through participation in meetings and activities of the EIT Digital. This research setting allowed me to contribute to corporate foresight research and practice by 1) integrating relational constructs primarily drawn from the relational view and dynamic capabilities research into the corporate foresight research stream, 2) exploring and understanding capabilities that are required for corporate foresight in interorganizational and networked organizations, 3) discussing and extending the Maturity Model for network organizations, and 4) to support individual organizations to tie their foresight systems effectively to networked foresight systems.
The public encounter
(2019)
This thesis puts the citizen-state interaction at its center. Building on a comprehensive model incorporating various perspectives on this interaction, I derive selected research gaps. The three articles, comprising this thesis, tackle these gaps. A focal role plays the citizens’ administrative literacy, the relevant competences and knowledge necessary to successfully interact with public organizations. The first article elaborates on the different dimensions of administrative literacy and develops a survey instrument to assess these. The second study shows that public employees change their behavior according to the competences that citizens display during public encounters. They treat citizens preferentially that are well prepared and able to persuade them of their application’s potential. Thereby, they signal a higher success potential for bureaucratic success criteria which leads to the employees’ cream-skimming behavior. The third article examines the dynamics of employees’ communication strategies when recovering from a service failure. The study finds that different explanation strategies yield different effects on the client’s frustration. While accepting the responsibility and explaining the reasons for a failure alleviates the frustration and anger, refusing the responsibility leads to no or even reinforcing effects on the client’s frustration. The results emphasize the different dynamics that characterize the nature of citizen-state interactions and how they establish their short- and long-term outcomes.
This thesis offers new insights on the effects of Start-Up Subsidies (SUS) for unemployed individuals as a special kind of active labor market program (ALMP) that aims to re-integrate individuals into the labor market via the route of self-employment. Moreover, this thesis contributes to the literature on methods for causal inference when the treatment variable is continuous rather than binary. For example, this is the case when individuals differ in their degree of exposure to a common treatment.
The analysis of the effects of SUS focuses on the main current German program called “Gründungszuschuss” (New Start-Up Subsidy, NSUS) after its reform in 2011. Average Effects on participants' labor market outcomes - as measured by employment and earnings - as well as subjective well-being are estimated mainly based on propensity score matching (PSM) techniques. PSM aims to achieve balance in terms of observed characteristics by matching participants with at least one comparable non-participant in terms of their probability to receive the treatment. This estimation strategy is valid as long as all relevant characteristics that explain selection patterns into treatment are observed and included in the estimation of the propensity score. To make our analysis as credible as possible, we control for a large vector of characteristics as observed through the combination of rich administrative data from the Federal Employment Agency as well as through survey data.
Chapters two to four of this thesis puts special emphasis on aspects regarding (the evaluation of) SUS programs that have received no or only limited attention thus far. The first aspect relates to the interplay of institutional details of the program and its effectiveness. So far, relatively little is known about the importance of SUS program features such as the duration of support. Second, there is no experimental benchmark evaluation of SUS available and thus, the reliability of non-experimental estimation techniques such as PSM is of crucial importance as estimates are biased when relevant confounders are omitted from the analysis. Third, there may be potentially detrimental effects of transitioning into (relatively risky) self-employment on subjective well-being among subsidized founders out of unemployment. These were to remain undetected if the analysis would focus exclusively on labor market outcomes of participants. The results indicate positive long-term effects of SUS participation on employment and earnings among participants. These effects are substantially larger than what estimated before the reform, indicating room for improvement in program design via changes in institutional details. Moreover, non-experimental estimates of treatment effects are remarkably robust to hidden confounding. Regarding subjective well-being, this thesis finds a positive long-run impact on job satisfaction and a detrimental effect on satisfaction with social security. The latter appears to be driven by adverse effects on social insurance contributions.
In chapter five, a novel automated covariate balancing technique for the estimation of causal effects in the context of continuous treatments is derived and assessed regarding its performance compared to other (automated) balancing techniques. Although binary research designs that only differentiate between participants and non-participants of some treatment remain the most-common case in empirical practice, many applications can be adapted to include continuous treatments as well. Often, this will allow for more meaningful estimates of causal effects in order to further improve the design of programs. In the context of SUS, one may further investigate the effects of the size of monetary support or its duration on participants' labor market outcomes. Both Monte-Carlo investigations and analysis of two well-known datasets suggests superior performance of the proposed Entropy Balancing for continuous treatments (EBCT) compared to other existing estimation strategies.
Zufriedenheitsanalysen durch Patientenbefragungen, wie in diesem Fall der neu entwickele und getestet Fragebogen (HNO-PROM), haben drei Säulen. Es kann zum einen eine bessere Patientenbindung geschaffen werden, die Qualität kann gemessen, verglichen und optimiert werden und es kann ein Mitarbeiterleitfaden im Sinne einer „Corporate Identity“ erstellt werden, welcher konkrete Managementimplikationen im Sinne von Handlungsimplikationen enthält. Der Leitgedanke des Qualitätsmanagements ist die Patientenorientierung im Sinne der Patientenzentrierten Medizin. Hierbei sollen nicht nur Wünsche und Bedürfnisse des Patienten erfüllt werden, sondern vorallem auch die Zufriedenheit gemessen und geplant werden. Gleichzeit muss man in diesem Zusammenhang die Behandlung der Patienten als Dienstleistung verstehen und die größtmögliche Zufriedenheit des Patienten als primäres Ziel setzen. Dies führt zu einer Kundenbindung dadurch, dass Patienten sowohl eine gleichbleibende Qualität erwarten können als auch und auch weiche Faktoren ihren Wünschen entsprechen werden. Corporate Identity mit dem Ziel als Unternehmen einheitlich für die Werte und damit die Qualität zu stehen.. Dies ermöglicht, das Wohlbefinden in der Vorstellung der Patienten beginnen zu lassen und dadurch Vertrauen zu schaffen. Alle drei Säulen haben nicht nur die Patientenzufriedenheit zum Ziel, sondern in gleichem Maße auch die Positionierung einer Institution auf dem Gesundheitsmarkt und damit die Verbesserung der Kosten-Nutzen-Rechnung durch ein positives Outcome. Damit fördern Zufriedenheitsanalysen nicht nur die ökonomische Position einer Abteilung, sondern behalten gleichermaßen die ethischen Aspekte einer Arzt-Patienten-Beziehung im Blick.
The ability of a company to innovate and to launch innovation is a critical competitive edge to remain competitive in the 21st century. Large organizations therefore increasingly recognize employees as a significant factor and critical source of innovation. Several studies assert the fact that every employee has to offer certain skills and knowledge and can contribute to innovation. Hence, every employee has a certain ‘entrepreneurial potential’. This potential can be expressed in the form of entrepreneurial behaviour and can occur in many ways, from monopersonal innovation championing to several small scale contributions, where several individuals team up for innovation. To support entrepreneurial behaviour of their employees, large organizations increasingly rely on Corporate Entrepreneurship. They set up organizational structures and venturing units, offer vehicles and tools to their employees to be more entrepreneurial. The evolvement of new tools and technologies thereby allow for new ways of employee involvement, also allowing for more radical innovation to be developed collaboratively. Yet, many of such offerings fail to achieve the desired outcome. While some employees immediately opt-in for innovation, others do not and their entrepreneurial potential remains untapped. This research explores how large organizations can better support their employees to express their entrepreneurial potential, thus moving from non-entrepreneurial behaviour or not wanting to be involved, to actually expressing entrepreneurial behaviour. The underlying research therefore is two-fold. While focusing on the individual level and the entrepreneurial behaviour of employees, this research also takes the organizational perspective into account in order to identify how non-entrepreneurial behaviour can be stimulated towards entrepreneurial behaviour. Using an empirical qualitative research design based on pragmatism and abduction, data is collected by means of qualitative interviews as well as a longitudinal use case setting. Grounded theory is then applied for analysis and sense making. The main outcome is a theoretical model of why employees are expressing or not expressing their entrepreneurial potential and how non-expression can potentially be triggered towards entrepreneurial behaviour. The results indicate that there is no one-size-fits all model of Corporate Entrepreneurship. This research therefore argues that organizations can achieve higher levels of entrepreneurial behaviour when addressing employees differently. By developing a theoretical model as well as suggestions of how this model can be applied in practice, this research contributes to theory and practice alike. This document closes suggesting future research areas around supporting employees to express their entrepreneurial potential.
The business model has emerged as a construct to understand how firms drive innovation through emerging technologies. It is defined as the ‘architecture of the firm’s value creation, delivery and appropriation mechanisms’ (Foss & Saebi, 2018, p. 5). The architecture is characterized by complex functional interrelations between activities that are conducted by various actors, some within and some outside of the firm. In other words, a firm’s value architecture is embedded within a wider system of actors that all contribute to the output of the value architecture.
The question of what drives innovation within this system and how the firm can shape and navigate this innovation is an essential question within innova- tion management research. This dissertation is a compendium of four individual research articles that examine how the design of a firm’s value architecture can fa- cilitate system-wide innovation in the context of Artificial Intelligence and Block- chain Technology. The first article studies how firms use Blockchain Technology to design a governance infrastructure that enables innovation within a platform ecosystem. The findings propose a framework for blockchain-enabled platform ecosystems that address the essential problem of opening the platform to allow for innovation while also ensuring that all actors get to capture their share of the value. The second article analyzes how German Artificial Intelligence startups design their business models. It identifies three distinct types of startup with dif- ferent underlying business models. The third article aims to understand the role of a firm’s value architecture during the socio-technical transition process of Arti- ficial Intelligence. It identifies three distinct ways in which Artificial Intelligence startups create a shared understanding of the technology. The last article exam- ines how corporate venture capital units configure value-adding services for their venture portfolios. It derives a taxonomy of different corporate venture capital types, driven by different strategic motivations.
Ultimately, this dissertation provides novel empirical insights into how a firm’s value architecture determines it’s role within a wider system of actors and how that role enables the firm to facilitate innovation. In that way, it contributes to both business model and innovation management literature.
This thesis puts the citizen-state interaction at its center. Building on a comprehensive model incorporating various perspectives on this interaction, I derive selected research gaps. The three articles, comprising this thesis, tackle these gaps. A focal role plays the citizens’ administrative literacy, the relevant competences and knowledge necessary to successfully interact with public organizations. The first article elaborates on the different dimensions of administrative literacy and develops a survey instrument to assess these. The second study shows that public employees change their behavior according to the competences that citizens display during public encounters. They treat citizens preferentially that are well prepared and able to persuade them of their application’s potential. Thereby, they signal a higher success potential for bureaucratic success criteria which leads to the employees’ cream-skimming behavior. The third article examines the dynamics of employees’ communication strategies when recovering from a service failure. The study finds that different explanation strategies yield different effects on the client’s frustration. While accepting the responsibility and explaining the reasons for a failure alleviates the frustration and anger, refusing the responsibility leads to no or even reinforcing effects on the client’s frustration. The results emphasize the different dynamics that characterize the nature of citizen-state interactions and how they establish their short- and long-term outcomes.
Die vorliegende Forschungsarbeit untersucht den Umgang mit Dilemmata von Topmanagern. Dilemmata sind ein alltägliches Geschäft im Topmanagement. Die entsprechenden Akteure sind daher immer wieder mit diesen konfrontiert und mit ihnen umzugehen, gehört gewissermaßen zu ihrer Berufsbeschreibung. Hinzu kommen Dilemmata im nicht direkt geschäftlichen Bereich, wie zum Beispiel jene zwischen Familien- und Arbeitszeit. Doch stellt dieses Feld ein kaum untersuchtes Forschungsgebiet dar. Während Dilemmata in anderen Bereichen eine zunehmende Aufmerksamkeit erfuhren, wurden deren Besonderheiten im Topmanagement genauso wenig differenziert betrachtet wie zugehörige Umgangsweisen. Theorie und Praxis stellen bezüglich Dilemmata von Topmanagern vor allem einen Gegensatz dar, beziehungsweise fehlt es an einer theoretischen Fundierung der Empirie. Diesem Umstand wird mittels dieser Studie begegnet. Auf der Grundlage einer differenzierten und breiten Erfassung von Theorien zu Dilemmata, so diese auch noch nicht auf Topmanager bezogen wurden, und einer empirischen Erhebung, die im Mittelpunkt dieser Arbeit stehen, soll das Feld Dilemmata von Topmanagern der Forschung geöffnet werden. Empirische Grundlage sind vor allem narrative Interviews mit Topmanagern über ihre Dilemmata-Wahrnehmung, ausgemachte Ursachen, Umgangsweisen und Resultate. Dies erlaubt es, Topmanagertypen sowie Dilemmata-Arten, mit denen sie konfrontiert sind oder waren, analytisch herauszuarbeiten. Angesichts der Praxisrelevanz von Dilemmata von Topmanagern wird jedoch nicht nur ein theoretisches Modell zu dieser Thematik erarbeitet, es werden auch Reflexionen auf die Praxis in Form von Handlungsempfehlungen vorgenommen. Schließlich gilt es, die allgemeine Theorie zu Dilemmata, ohne konkreten Bezug zu Topmanagern, mit den theoretischen Erkenntnissen dieser Studie auf empirischer Basis zu kontrastieren. Dabei wird im Rahmen der empirischen Erfassung und Auswertung dem Ansatz der Grounded-Theory-Methodologie gefolgt.
Although the search for promising business models (BMs) is crucial for every profit-oriented venture, searching for those challenges in particular entrepreneurs. Limited resources, missing expertise and absolute uncertainty call entrepreneurs to strongly rely on their cognition in searching for a promising BM. However, as prior studies have examined cognitive search activities in isolation and neglected cognitive differences, explanations of how cognitive factors affect the BM process and outcomes are thus far insufficient.
Addressing the overall question of how BMs emerge, the dissertation contributes to the cognitive perspective in entrepreneurship and BM research. Building on the dual-process theory from cognitive psychology, the micro-foundations of managerial decision-making and insights from framing literature, this dissertation explicitly investigates the impacts of different cognitive dispositions, search activities and visual framing effects. The core assumption is that cognitive dispositions and entrepreneurs’ searches for information determine their BM decision-making. Furthermore, BM visualisations have become popular instruments with which to explain and manage today’s complex business interactions. As they abstract from reality, they can also unfold impacts on the cognitive processes.
This dissertation offers new explanations to these aspects and consists of three studies and one reflective article. The first study explores the impacts of differences in search activities and cognitive dispositions in a qualitative study with 70 entrepreneurship students. The second qualitative study explores the cognitive impacts of 103 BM visualisations. Third, a quantitative PLS-SEM experiment with 197 entrepreneurs illuminates the link between BM visualisations and cognition. The reflective article expresses the results’ meaning for the teaching of BMs.
In sum, the studies have resulted in a new theory of stabilising factors explaining how cognitive dispositions, search activities and visual framing determine entrepreneurs’ decisions to imitate or deviate from existing BMs. It indicates that the decision depends on the context-dependent strategic orientation and cognitive disposition-dependent cognitive safety, that is the correspondence between characteristics of cognitive dispositions and search activities. Moreover, the studies identified five visual framing effects that are independent of cognitive dispositions and prior experiences. This provides fertile contributions to the literature on BM methods and how BM visualisations affect decisions. Most importantly, BM visualisations provide an emotionally stabilising function to rational entrepreneurs, a cognitively stabilising function to experiential participants and do not affect indifferent participants in general.
A new model that links visionary leadership with team performance is
postulated. It is proposed that leader prototypicality will negatively
moderate the effect of visionary leadership on team goal monitoring and performance. This model underlines that teams will compensate for the less prototypicality of a visionary leader by engaging in more goal monitoring, which is a process that is conducive to team performance. A field study included 60 teams, 180 individuals, and 60 team leaders was conducted in Egypt. Parameters were collected on the individual level.
Aggregation measures (rwg, ICC1 & ICC2) were acceptable and the averages were calculated for each team. The proposed three-factor model exhibited a reasonable fit to the data, χ2(130) = 259.93, p-value0.01; CFI = 0.90; and RMSEA = 0.13). The hypothesized negative moderation effect of leader prototypicality on the relationship between visionary leadership and team goal monitoring was statistically significant (-0.16; s.e.= 0.06; t = -3.13; p <0.01; 95% CI: -0.31, -0.07). Results showed a significant index of moderated mediation (-0.07; s.e.= 0.05; 95% CI: -0.20, -0.01). As predicted, the indirect effect of visionary leadership on team performance mediated by team goal monitoring was more strongly positive when leader prototypicality was low (b = 0.27; s.e.= 0.16; 95% CI: 0.04, 0.68), rather than high (b = 0.13; s.e.= 0.10; 95% CI: 0.01, 0.45). A proposal for extending the dimensions of identity-based leadership is discussed. This dissertation makes four significant contributions to theory and research on leadership. First, the main contribution of this research lies in showing that visionary leadership is more strongly positively related to team performance when leader prototypicality is low, rather than high. Second, this dissertation provides a contribution toward overcoming the fragmentation in the leadership literature by desegregating the literature on visionary leadership and leader-team prototypicality. Third, team goal monitoring as a mechanism that explains the interactive effects of visionary leadership and leader prototypicality on team performance was identified. Fourth, this study tests the postulated research model in Egypt, a culture that has in the past received scant attention.
Alexander Rhode investigates performance-oriented measures of Contracting Authorities in public tenders conducted within the EU. He finds that Contracting Authorities can improve their performance and attract more suppliers by publishing (as precise as possible) starting prices in the beginning of a tender. First, he reports that compared with private-sector negotiations, starting prices do not create entry barriers in public procurement. Second, he finds that increased numerical precision of starting prices is linearly correlated with better performance and a higher number of bids. In public procurement, suppliers tend to attribute increased credibility to precise starting prices which reduces their (perceived) entry risks.
This dissertation consists of four self-contained papers that deal with the implications of financial market imperfections and heterogeneity. The analysis mainly relates to the class of incomplete-markets models but covers different research topics.
The first paper deals with the distributional effects of financial integration for developing countries. Based on a simple heterogeneous-agent approach, it is shown that capital owners experience large welfare losses while only workers moderately gain due to higher wages. The large welfare losses for capital owners contrast with the small average welfare gains from representative-agent economies and indicate that a strong opposition against capital market opening has to be expected.
The second paper considers the puzzling observation of capital flows from poor to rich countries and the accompanying changes in domestic economic development. Motivated by the mixed results from the literature, we employ an incomplete-markets model with different types of idiosyncratic risk and borrowing constraints. Based on different scenarios, we analyze under what conditions the presence of financial market imperfections contributes to explain the empirical findings and how the conditions may change with different model assumptions.
The third paper deals with the interplay of incomplete information and financial market imperfections in an incomplete-markets economy. In particular, it analyzes the impact of incomplete information about idiosyncratic income shocks on aggregate saving. The results show that the effect of incomplete information is not only quantitatively substantial but also qualitatively ambiguous and varies with the influence of the income risk and the borrowing constraint.
Finally, the fourth paper analyzes the influence of different types of fiscal rules on the response of key macroeconomic variables to a government spending shock. We find that a strong temporary increase in public debt contributes to stabilizing consumption and leisure in the first periods following the change in government spending, whereas a non-debt-intensive fiscal rule leads to a faster recovery of consumption, leisure, capital and output in later periods. Regarding optimal debt policy, we find that a debt-intensive fiscal rule leads to the largest aggregate welfare benefit and that the individual welfare gain is particularly high for wealth-poor agents.
Die deutschen Wirtschaftsverbände geraten zunehmend unter Konkurrenzdruck. Immer mehr Verbände werben um dieselbe Mitgliederklientel und haben einen ähnlichen Themenzuschnitt. Darüber hinaus betreiben immer mehr Mitgliedsunternehmen eigene politische Interessenvertretung. Die vorliegende Studie untersucht auf der Grundlage des aus der Evolutionsbiologie stammenden Population Ecology-Ansatzes, wie die Verbände mit dieser Konkurrenz umgehen.
There are numerous situations in which people ask for something or make a request, e.g. asking a favor, asking for help or requesting compliance with specific norms. For this reason, how to ask for something in order to increase people’s willingness to fulfill such requests is one of the most important question for many people working in various different fields of responsibility such as charitable giving, marketing, management or policy making.
This dissertation consists of four chapters that deal with the effects of small changes in the decision-making environment on altruistic decision-making and compliance behavior. Most notably, written communication as an influencing factor is the focus of the first three chapters. The starting point was the question how to devise a request in order to maximize its chance of success (Chapter 1). The results of the first chapter originate the ideas for the second and third chapter. Chapter 2 analyzes how communication by a neutral third-party, i.e. a text from the experimenters that either reminds potential benefactors of their responsibility or highlights their freedom of choice, affects altruistic decision-making. Chapter 3 elaborates on the effect of thanking people in advance when asking them for help. While being not as closely related to the other chapters as the three first ones are, the fourth chapter deals as well with the question how compliance (here: compliance with norms and rules) is affected by subtle manipulations of the environment in which decisions are made. This chapter analyzes the effect of default settings in a tax return on tax compliance.
In order to study the research questions outlined above, controlled experiments were conducted. Chapter 1, which analyzes the effect of text messages on the decision to give something to another person, employs a mini-dictator game. The recipient sends a free-form text message to the dictator before the latter makes a binary decision whether or not to give part of her or his endowment to the recipient. We find that putting effort into the message by writing a long note without spelling mistakes increases dictators’ willingness to give. Moreover, writing in a humorous way and mentioning reasons why the money is needed pays off. Furthermore, men and women seem to react differently to some message categories. Only men react positively to efficiency arguments, while only women react to messages that emphasize the dictator’s power and responsibility.
Building on this last result, Chapter 2 attempts to disentangle the effect of reminding potential benefactors of their responsibility for the potential beneficiary and the effect of highlighting their decision power and freedom of choice on altruistic decision-making by studying the effects of two different texts on giving in a dictator game. We find that only men react positively to a text that stresses their responsibility for the recipient by giving more to her or him, whereas only women seem to react positively to a text that emphasizes their decision power and freedom of choice.
Chapter 3 focuses on the compliance with a request. In the experiment, participants are asked to provide a detailed answer to an open question. Compliance is measured by the effort participants spend on answering the question. The treatment variable is whether or not they see the text “thanks in advance.” We find that participants react negatively by putting less effort into complying with the request in response to the phrase “thanks in advance.”
Chapter 4 studies the effect of prefilled tax returns with mostly inaccurate default values on tax compliance. In a laboratory experiment, participants earn income by performing a real-effort task and must subsequently file a tax return for three consecutive rounds. In the main treatment, the tax return is prefilled with a default value, resulting from participants’ own performance in previous rounds, which varies in its relative size. The results suggest that there is no lasting effect of a default value on tax honesty, neither for relatively low nor relatively high defaults. However, participants who face a default that is lower than their true income in the first round evade significantly and substantially more taxes in this round than participants in the control treatment without a default.
The present dissertation investigates profit-maximizing behavior in different phases of the negotiation process. Over the last decades, research dealt in detail with behavior of negotiation actors with the aim of identifying performance enhancing factors. The majority of those studies focused on behavior within the main negotiation phase. This work, however, considers phases which are, so far, underrepresented in research but show an impact on the negotiation process and outcome. Those phases are the pre-negotiation, the first offer, and the main negotiation phase which is further divided by breaks into several rounds. Within these phases, traits of behavior are analyzed that can be used strategically in order to impact the negotiation outcome. The dissertation contains three papers, each one dealing with a specific strategy within one phase. The first paper investigates communication behavior in the pre-negotiation phase. Content analysis of a negotiation experiment shows that the employment of positive communication elements such as the generation of enthusiasm for an upcoming project results in an increase of agreements on entering a negotiation and also leads to a higher willingness to make concessions. The second paper explores the impact of a semantic first anchor, which does not contain a specific number but only gives a numerical direction, on the opponent’s concession behavior and the final outcome. By means of two scenario-based questionnaires and a negotiation experiment it is demonstrated that semantic offers reveal an anchoring effect and lead to better negotiation outcomes. The third paper deals with the introduction of breaks and their effect on the following negotiation process. Therefore, content and outcome of another negotiation experiment are investigated. The analysis shows that breaks evoke a dominant impression but can negatively impact the atmosphere and thereby also the outcome. Finally, the gathered insights are brought together and discussed. The dissertation closes with implications for practice, limitations of the work, and ideas for future research.
To reach its climate targets, the European Union has to implement a major sustainability transition in the coming decades. While the socio-technical change required for this transition is well discussed in the academic literature, the economics that go along with it are often reduced to a cost-benefit perspective of climate policy measures. By investigating climate change mitigation as a coordination problem, this thesis offers a novel perspective: It integrates the economic and the socio-technical dimension and thus allows to better understand the opportunities of a sustainability transition in Europe.
First, a game theoretic framework is developed to illustrate coordination on green or brown investment from an agent perspective. A model based on the coordination game "stag hunt" is used to discuss the influence of narratives and signals for green investment as a means to coordinate expectations towards green growth. Public and private green investment impulses – triggered by credible climate policy measures and targets – serve as an example for a green growth perspective for Europe in line with a sustainability transition. This perspective also embodies a critical view on classical analyses of climate policy measures.
Secondly, this analysis is enriched with empirical results derived from stakeholder involvement. In interviews and with a survey among European insurance companies, coordination mechanisms such as market and policy signals are identified and evaluated by their impact on investment strategies for green infrastructure. The latter, here defined as renewable energy, electricity distribution and transmission as well as energy efficiency improvements, is considered a central element of the transition to a low-carbon society.
Thirdly, this thesis identifies and analyzes major criticisms raised towards stakeholder involvement in sustainability science. On a conceptual level, different ways of conducting such qualitative research are classified. This conceptualization is then evaluated by scientists, thereby generating empirical evidence on ideals and practices of stakeholder involvement in sustainability science.
Through the combination of theoretical and empirical research on coordination problems, this thesis offers several contributions: On the one hand, it outlines an approach that allows to assess the economic opportunities of sustainability transitions. This is helpful for policy makers in Europe that are striving to implement climate policy measures addressing the targets of the Paris Agreement as well as to encourage a shift of investments towards green infrastructure. On the other hand, this thesis enhances the stabilization of the theoretical foundations in sustainability science. Therefore, it can aid researchers who involve stakeholders when studying sustainability transitions.
Over the past decade, society has witnessed an increasing expansion of service economies as manufacturing (i.e., product-oriented) companies break free from their product-based business model and move toward more service-oriented value creation as a result of several economic, technological, and social changes. As they shift from products to (service) solutions, manufacturing companies pursue new strategic direction, inter alia, by extensively employing service business development activities.
The objective of this dissertation is to investigate the considerable (re-)emerging stream of service business development by providing vital insights for academia and management into important focus areas that have hardly, if at all, been (empirically) investigated in the existing literature before. Therefore, these findings can be vital to informing a differentiation in current and future marketing strategies in business practice.
First of all, this dissertation focuses on the extent to which service business development is transposed into business practice. Because scarce empirical-quantitative research has studied the current state of service business development across various industry and market sectors, this study analyzes a unique, manually collected dataset of 266 (product and service) business development activities. In so doing, this investigation contributes to literature by presenting a comprehensive, industry-wide status quo and trend report of service business development in practice.
Furthermore, given the surprisingly limited scientific attention paid to the question of how service business development is strategically configured and further applied to different environmental circumstances, this dissertation provides comprehensive theoretical and practical implications by analyzing in detail a sample of 137 service business developments of 66 product-oriented companies.
Lastly, manufacturers are recognizing that service-oriented value creation is moving toward a more collaborative process of co-creation as a promising measure to achieve competitive advantage, and even more as an appropriate response to complex business environments. Thus, an increasing number of companies around the world have recently introduced business models related to access-based services such as car-, scooter-, and bike-sharing systems. But despite the considerable advantages of access-based services as an alternative to ownership, these companies are now seeing that consumer adoption and (re-)usage rates remain insufficient. Owing to the lack of general and cross-national scientific knowledge, the purpose of this dissertation continues to explore which factors impede diffusion of related service business development activities from a consumer perspective and what kind of differences can be established between countries. Consequently, with a total of 1,443 participants, a cross-national survey was carried out in three countries, i.e., the United States, Germany, and China, to measure a vast number of different adoption barriers derived from a developed integrated framework that combines established theories within innovation and adoption behavior research.
Valide generierte Daten aus Verhandlungen bilden die Grundlage zum Ergründen von Art und Umfang verschiedener Einflussfaktoren auf den Verhandlungsprozess und das Verhandlungsergebnis. Die Wahl einer bestimmten Datenerhebungsmethode wird weitestgehend von der jeweiligen Problemstellung einer Untersuchung bedingt. Aus diesem Zusammenhang erschließt sich die Notwendigkeit, fundierte Erkenntnisse und Empfehlungen für die Anwendung von bestimmten Datenerhebungsmethoden in der Verhandlungsforschung zu entwickeln. Damit einhergehend können sowohl Verbesserungspotenziale für die methodische Vorgehensweise zukünftiger Forschungsvorhaben aufgefunden als auch – basierend auf den generierten Daten – gehaltvolle Handlungsempfehlungen für die Verhandlungspraxis ausgesprochen werden. Zunächst nimmt der Verfasser eine umfangreiche Literaturanalyse über die methodischen Praktiken der Datengewinnung in verhandlungsrelevanten Studien im Zeitraum 2005 bis 2014 vor. Basierend auf einer ergänzend durchgeführten Befragung unter Verhandlungswissenschaftlern liefert er eine Prognose der zukünftigen Anwendungshäufigkeiten der Erhebungsmethoden und leitet methodische Erkenntnisse im Zeitverlauf ab. Insbesondere durch die Analyse der Passung zwischen Untersuchungsfragestellung und Datenerhebungsmethode sowie weiterer Aspekte (z. B. Art der Verhandlung, Forschungsdisziplin, Journal der Publikation, Korrespondenzautor und dessen Affiliation), welche die jeweilige Untersuchung beeinflussen könnten, schafft der Autor eine kontemporäre Entscheidungshilfe für kommende verhandlungsbezogene Forschungsaktivitäten.
Die deutsche Berufsausbildung hat in den vergangenen Jahren stark an Zuspruch verloren. Dies trifft insbesondere auch auf die duale kaufmännische Berufsausbildung zu. Galt sie vor einigen Jahren noch als ein möglicher Ausbildungsweg für leistungsstarke Schüler/-innen, präferieren diese heute zum großen Teil das Studium. Die wachsende Anzahl an Studienabbrechern belegt jedoch, dass dadurch auch Potenzial verloren geht, weil sich Jugendliche mit dem Studium für einen Ausbildungsweg entscheiden, der für sie nicht geeignet ist. Bisherige Bemühungen zur Etablierung alternativer Bildungswege wie zum Beispiel Berufsakademien weisen zwar Erfolge auf, basieren jedoch auf einem Konzept, das sich ausschließlich am Bedarf der Wirtschaft orientiert. Es ist jedoch die Überzeugung der Autorin, dass neue innovative Bildungswege auch die Bedürfnisse und Vorstellungen derjenigen berücksichtigen müssen, für die sie entworfen werden. Denn die Generation der heutigen Jugendlichen zeichnet sich dadurch aus, dass sie ein anderes Wertekonzept als ihre Vorgängergenerationen aufweist. Die Dissertation entwickelt daher ein Modell einer wirtschaftsorientierten Ausbildung, welches sich aus unterschiedlichen motivationstheoretischen Elementen ableitet und zugleich die Werte der Generation der heutigen Jugend-lichen berücksichtigt. Es umfasst sowohl die Anreiz-Beitrags-Theorie nach Barnard als auch die Inhalts-Erwartungstheorie nach Vroom. Zudem liegt ein Hauptaugenmerk dieser Arbeit auf der Anpassung der Zwei-Faktoren-Theorie nach Herzberg auf die heutige Zeit.
Empirisch basiert die Dissertation auf einem dreistufigen Untersuchungsdesign. Die erste Stufe umfasst eine quantitative Befragung von insgesamt 459 Abiturienten/-innen und 100 Studierenden. In der zweiten Stufe wurden 10 Studieren-de und 12 Abiturienten/-innen qualitativ befragt. Eine Validierung der Ergebnis-se erfolgte in der dritten Stufe mittels Experteninterviews. Das Ziel der empirischen Untersuchung bestand in der Überprüfung von vier Hypothesen als Basis zur Modellableitung:
Hypothese H1 - Flexibilität erhöht die Attraktivität einer wirtschaftsorientierten Ausbildung: Der Faktor Flexibilität wurde als ein relevanter Motivator für die Wahl eines Ausbildungsweges identifiziert. Jugendliche wollen sich heutzutage nicht sofort bzw. nicht zu früh festlegen müssen.
Hypothese H2 - Auslandsaufenthalte erhöhen die Attraktivität einer wirtschaftsorientierten Ausbildung: Es wurde bestätigt, dass Auslandsaufenthalte die Attraktivität einer wirtschaftsorientierten Ausbildung steigert, es besteht jedoch eine Reihe von Barrieren, die Jugendliche (obwohl sie den grundsätzlichen Vor-teil sehen) davon abhalten, einen Auslandsaufenthalt für sich selbst in Betracht zu ziehen.
Hypothese H3 - Das Aufzeigen einer Karriereperspektive erhöht die Attraktivität einer wirtschaftsorientierten Ausbildung: Für die Generation der heutigen Jugendlichen steht bezüglich der Wahl ihres Ausbildungsweges die Aussicht auf eine Tätigkeit im Vordergrund, die ein gesichertes Einkommen und somit ein gutes Leben ermöglicht und zudem aus ihrer Sicht eine gewisse Sinnhaftigkeit hat. Führungspositionen, in denen auch höhere Verantwortung übernommen wird, strebt nur eine Minderheit an.
Hypothese H4 - Zusätzliche monetäre Anreize erhöhen die Attraktivität einer wirtschaftsorientierten Ausbildung: Vergütungsbestandteile werden grundsätzlich nicht abgelehnt (das wäre auch irrational), haben jedoch auch nicht die Anreizfunktion, die ihr auf Basis der Voruntersuchung im Rahmen dieser Arbeit hätte unterstellt werden können. Für die Entscheidungsfindung bezüglich eines Ausbildungsweges spielen sie nur eine untergeordnete Rolle. Dennoch trägt die Vergütung zur Attraktivität eines Ausbildungsweges bei.
Basierend auf den zuvor genannten Ergebnissen wurde das Modell einer wirtschaftsorientieren Ausbildung abgeleitet, das sowohl horizontal als auch vertikal flexibel ist. Horizontale Flexibilität ist dadurch gegeben, dass innerhalb eines Ausbildungsjahres unterschiedliche Unternehmen und Branchen kennengelernt werden (Jahr 1 und Jahr 2). Eine Spezialisierung erfolgt erst in den späteren Ausbildungsjahren. Durch die Möglichkeit, nach jedem Ausbildungsjahr mit einem Abschluss ins Berufsleben zu wechseln und die Ausbildung gegebenenfalls zu einem späteren Zeitpunkt fortzusetzen, ist auch eine vertikale Flexibilität gegeben. Zudem bietet das Modell Studienabbrechern/-innen die Möglichkeit, im Ausbildungsjahr 2 bzw. 3 in die Ausbildung einzusteigen. Im Jahr 2 und/oder Jahr 3 sind Auslandsaufenthalte integriert. Diese werden fakultativ an-geboten. Bereits ab dem Jahr 1 besteht die Möglichkeit, Vorbereitungskurse zu belegen. Der hohen Bedeutung der Karriereperspektive wird im abgeleiteten Modell auf mehreren Ebenen Rechnung getragen. So werden nach jedem Ausbildungsjahr anerkannte Abschlüsse erreicht. Während diese in den Jahren 1 und 2 mit IHK-Abschlüssen gleichzusetzen sind, beginnen ab Jahr 3 die akademischen Graduierungen (Jahr 3 Bachelor, Jahr 4 Master). Die Vergütung wird Bestandteil einer wirtschaftsorientierten Ausbildung, wobei ihre Höhe mit Dauer der Ausbildung zunimmt.
Da mit der Einführung des Modells einer wirtschaftsorientierten Ausbildung die Überwindung von institutionellen Paradigmen und Schranken verbunden sind, erfolgte im Rahmen des Ausblicks der Arbeit eine weitere Expertenbefragung bezüglich seiner Umsetzbarkeit. Es setzt eine Beweglichkeit von institutioneller Seite voraus (hierbei insbesondere auch von den Kammern), die von der Mehr-zahl der Experten derzeit skeptisch gesehen wird. Die konzeptionelle Ausgestaltung findet grundsätzlichen Zuspruch, wobei in einigen Details, zum Beispiel in der Dauer der Ausbildung, noch Klärungsbedarf besteht.
Grundsätzlich schließen sich die Experten/-innen der Meinung der Autorin an, dass ein Sinneswandel in der deutschen Ausbildungslandschaft gewünscht und gefordert wird. Dies betrifft insbesondere auch den kaufmännischen Bereich. Diese Arbeit liefert mit dem Modell der wirtschaftsorientierten Ausbildung einen wichtigen Beitrag zur Diskussion über neue Ausbildungswege.
Mit der New Economic Geography (NEG) kann die Verteilung von Unternehmen und Arbeitskräften auf Regionen modellhaft diskutiert werden. In diesem Beitrag wird untersucht, welche räumlichen Verteilungen der mobilen Arbeitskräfte und Unternehmen in einem NEG-Modellansatz resultieren, wenn die Größe einer Region und damit der ihr zur Verfügung stehende Boden, die zu überwindende Distanz für den Gütertransport innerhalb der Regionen, sowie Bodennutzungskonkurrenzen zwischen Wohnen, Industrie und Landwirtschaft berücksichtigt werden. Auch wird der Frage nachgegangen, welche Wohlfahrtswirkungen hierbei resultieren.
This dissertation consists of five self-contained essays, addressing different aspects of career choices, especially the choice of entrepreneurship, under risk and ambiguity. In Chapter 2, the first essay develops an occupational choice model with boundedly rational agents, who lack information, receive noisy feedback, and are restricted in their decisions by their personality, to analyze and explain puzzling empirical evidence on entrepreneurial decision processes. In the second essay, in Chapter 3, I contribute to the literature on entrepreneurial choice by constructing a general career choice model on the basis of the assumption that outcomes are partially ambiguous. The third essay, in Chapter 4, theoretically and empirically analyzes the impact of media on career choices, where information on entrepreneurship provided by the media is treated as an informational shock affecting prior beliefs. The fourth essay, presented in Chapter 5, contains an empirical analysis of the effects of cyclical macro variables (GDP and unemployment) on innovative start-ups in Germany. In the fifth, and last, essay in Chapter 6, we examine whether information on personality is useful for advice, using the example of career advice.
Three Essays on EFRAG
(2018)
This cumulative doctoral thesis consists of three papers that deal with the role of one specific European accounting player in the international accounting standard-setting, namely the European Financial Reporting Advisory Group (EFRAG). The first paper examines whether and how EFRAG generally fulfills its role in articulating Europe’s interests toward the International Accounting Standards Board (IASB). The qualitative data from the conducted interviews reveal that EFRAG influences the IASB’s decision making at a very early stage, long before other constituents are officially asked to comment on the IASB’s proposals. The second paper uses quantitative data and investigates the formal participation behavior of European constituents that seek to determine EFRAG’s voice. More precisely, this paper analyzes the nature of the constituents’ participation in EFRAG’s due process in terms of representation (constituent groups and geographical distribution) and the drivers of their participation behavior. EFRAG’s official decision making process is dominated by some specific constituent groups (such as preparers and the accounting profession) and by constituents from some specific countries (e.g. those with effective enforcement regimes). The third paper investigates in a first step who of the European constituents choose which lobbying channel (participation only at IASB, only at EFRAG, or at both institutions) and unveils in a second step possible reasons for their lobbying choices. The paper comprises quantitative and qualitative data. It reveals that English skills, time issues, the size of the constituent, and the country of origin are factors that can explain why the majority participates only in the IASB’s due process.
Wandlungsfähigkeit beschreibt die Fähigkeit eines Systems, proaktiv oder reaktiv Maßnahmen für die Modifikation seiner Eigenschaften schnell und effizient zu entwickeln, umzusetzen und anzuwenden sowie sich proaktiv darauf vorzubereiten, inaktiv zu sein und passiv Einwirkungen aus der Umwelt zu tolerieren. Die Eigenschaften wandlungsfähiger Systeme werden häufig als Indikatoren (z.B. Modularität, Wissen) verwendet. Dabei existiert eine Vielzahl potenzieller Indikatoren, deren jeweilige Relevanz jedoch ungeklärt ist. Hier setzt die Zielstellung der vorliegenden Arbeit an. Das Erkenntnisziel ist die Erklärung der Wandlungsfähigkeit sozio-technischer Systeme. Zu diesem Zweck wird ein Erklärungsmodell der indikatorbasierten Wandlungsfähigkeit erstellt, das zum Nachweis von Wandlungsfähigkeit, zur Bewertung dieser sowie zur Systemanalyse genutzt werden kann. Weiterhin wird exemplarisch eine positive Korrelation von Wandlungsfähigkeit und Schnelligkeit sowie Effizienz bei Veränderungsprojekten nachgewiesen.