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As followers are becoming more educated and better connected, empowering leadership has gained traction in recent times as an alternative to traditional top-down models of leadership. Several scholars have investigated the relationship between empowering leadership and other variables in different contexts. As most previous studies have focused on the positive aspects of empowering leadership, research on its potential dark side is scarce. Furthermore, no previous study has examined whether and how the transfer of workload from followers to leaders can occur over time, which I proposed can lead to emotional exhaustion and work-family conflict among leaders. Therefore, I proposed that despite the positive outcomes of empowering leadership for both followers and leaders, it may also trigger negative outcomes capable of affecting the well-being of leaders. Drawing on the Conservation of Resources (COR) theory, Job Demand-Resources (JD-R) theory, and Too-Much-of-a-Good-Thing (TMGT) effect model, I investigated this idea. Using follower workload as a moderator, I proposed that the relationship between empowering leadership and leader workload is positive when follower workload is high and negative when follower workload is low. In addition, I examined how empowering leadership interacts with follower workload to affect leader emotional exhaustion and work-family conflict, mediated by leader workload. I proposed that this interaction results in a negative relationship between empowering leadership and both outcomes when follower workload is low, and a positive relationship when it is high.
I tested these hypotheses using data from a three-wave time-lagged design field study with 65 leader-follower dyads consisting of civil servants from different administrative entities of India and Pakistan. The time lag between each study variable was four weeks. At Time 1 (T1), followers answered questions about demographic characteristics, virtual interaction with their leaders, their workload, and the extent to which their leaders practice empowering leadership. At the same time, leaders answered questions about demographic characteristics and their job satisfaction. At Time 2 (T2), leaders provided data on their own workload. Finally, at Time 3 (T3), leaders rated their emotional exhaustion and work-family conflict. A moderated mediation model was tested using PROCESS Model 7 in R. The findings of the study reveal that a significant increase in follower workload through empowering leadership will also increase the leader's workload. Consequently, this increased leader workload leads to a crossover of this interactive effect onto the level of emotional exhaustion and work-family conflict experienced by leaders.
This research offers various contributions to the leadership literature. While empowering leadership has been commonly associated with positive outcomes, my study reveals that it can also lead to negative outcomes. In addition, it shifts the focus of existing research from the effect of empowering leadership on followers to the consequences that it might have for leaders themselves. Overall, my research underscores the need for leaders to consider the potential counterproductive effects of empowering leadership and tailor their approach accordingly.
Quantified Self, die pro-aktive Selbstvermessung von Menschen, hat sich in den letzten Jahren von einer Nischenanwendung zu einem Massenphänomen entwickelt. Dabei stehen den Nutzern heute vielfältige technische Unterstützungsmöglichkeiten, beispielsweise in Form von Smartphones, Fitness-Trackern oder Gesundheitsapps zur Verfügung, welche eine annähernd lückenlose Überwachung unterschiedlicher Kontextfaktoren einer individuellen Lebenswirklichkeit erlauben.
In der Folge widmet sich diese Arbeit unter anderem der Fragestellung, inwieweit diese intensive und eigen-initiierte Beschäftigung, insbesondere mit gesundheitsbezogenen Daten, die weitgehend als objektiviert und damit belastbar gelten, die Gesundheitskompetenz derart aktiver Menschen erhöhen kann. Darüber hinaus werden Aspekte untersucht, inwieweit die neuen Technologien in der Lage sind, spezifische medizinische Erkenntnisse zu vertiefen und in der Konsequenz die daraus resultierenden Behandlungsprozesse zu verändern.
Während der Ursprung des Quantified Self im 2. Gesundheitsmarkt liegt, geht die vorliegende Arbeit der Frage nach, welche strukturellen, personellen und prozessualen Anknüpfungspunkte perspektivisch im 1. Gesundheitsmarkt existieren werden, wenn ein potentieller Patient in einer stärker emanzipierten Weise den Wunsch verspürt, oder eine entsprechende Forderung stellt, seine gesammelten Gesundheitsdaten in möglichst umfassender Form in eine medizinische Behandlung zu integrieren.
Dabei werden auf der einen Seite aktuelle Entwicklungen im 2. Gesundheitsmarkt untersucht, die gekennzeichnet sind von einer hohen Dynamik und einer großen Intransparenz. Auf der anderen Seite steht der als stark reguliert und wenig digitalisiert geltende 1. Gesundheitsmarkt mit seinen langen Entwicklungszyklen und ausgeprägten Partikularinteressen der verschiedenen Stakeholder.
In diesem Zuge werden aktuelle Entwicklungen des zugrunde liegenden Rechtsrahmens, speziell im Hinblick auf stärker patientenzentrierte und digitalisierte Normen untersucht, wobei insbesondere das Digitale Versorgung Gesetz eine wichtige Rolle einnimmt.
Ziel der Arbeit ist die stärkere Durchdringung von Wechselwirkungen an der Schnittstelle zwischen den beiden Gesundheitsmärkten in Bezug auf die Verwendung von Technologien der Selbstvermessung, um in der Folge zukünftige Geschäftspotentiale für existierende oder neu in den Markt drängende Dienstleister zu eruieren.
Als zentrale Methodik kommt hier eine Delphi-Studie zum Einsatz, die in einem interprofessionellen Ansatz versucht, ein Zukunftsbild dieser derzeit noch sehr jungen Entwicklungen für das Jahr 2030 aufzuzeigen. Eingebettet werden die Ergebnisse in die Untersuchung einer allgemeinen gesellschaftlichen Akzeptanz der skizzierten Veränderungen.
Die Digitalisierung ist ein wesentlicher Bestandteil aktueller Verwaltungsreformen. Trotz der hohen Bedeutung und langjähriger Bemühungen bleibt die Bilanz der Verwaltungsdigitalisierung in Deutschland ambivalent. Diese Studie konzentriert sich auf drei erfolgreiche Digitalisierungsvorhaben aus dem Onlinezugangsgesetz (OZG) und analysiert mittels problemzentrierter Expertenbefragung Einflussfaktoren auf die Umsetzung von OZG-Vorhaben und den Einfluss des Managements in diesem Prozess. Die Analyse erfolgt theoriegeleitet basierend auf dem Ansatz der begrenzten Rationalität und der ökonomischen Theorie der Bürokratie. Die Ergebnisse zeigen, dass anzunehmen ist, dass die identifizierten Einflussfaktoren unterschiedlich auf Nachnutzbarkeit und Reifegrad von Verwaltungsleistungen wirken und als Folgen begrenzter Rationalität im menschlichen Problemlösungsprozess interpretiert werden können. Managerinnen unterstützen die operativen Akteure bei der Umsetzung, indem sie deren begrenzte Rationalität mit geeigneten Strategien adressieren. Dazu können sie Ressourcen bereitstellen, mit ihrer Expertise unterstützen, Informationen zugänglich machen, Entscheidungswege verändern sowie zur Konfliktlösung beitragen. Die Studie bietet wertvolle Einblicke in die tatsächliche Managementpraxis und leitet daraus Empfehlungen für die Umsetzung öffentlicher Digitalisierungsvorhaben sowie für die Steuerung öffentlicher Verwaltungen ab. Diese Studie liefert einen wichtigen Beitrag zum Verständnis des Einflusses des Managements in der Verwaltungsdigitalisierung. Die Studie unterstreicht außerdem die Notwendigkeit weiterer Forschung in diesem Bereich, um die Praktiken und Herausforderungen der Verwaltungsdigitalisierung besser zu verstehen und effektiv zu adressieren.
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.
Digitalisation in industry – also called “Industry 4.0” – is seen by numerous actors as an opportunity to reduce the environmental impact of the industrial sector. The scientific assessments of the effects of digitalisation in industry on environmental sustainability, however, are ambivalent. This cumulative dissertation uses three empirical studies to examine the expected and observed effects of digitalisation in industry on environmental sustainability. The aim of this dissertation is to identify opportunities and risks of digitalisation at different system levels and to derive options for action in politics and industry for a more sustainable design of digitalisation in industry. I use an interdisciplinary, socio-technical approach and look at selected countries of the Global South (Study 1) and the example of China (all studies). In the first study (section 2, joint work with Marcel Matthess), I use qualitative content analysis to examine digital and industrial policies from seven different countries in Africa and Asia for expectations regarding the impact of digitalisation on sustainability and compare these with the potentials of digitalisation for sustainability in the respective country contexts. The analysis reveals that the documents express a wide range of vague expectations that relate more to positive indirect impacts of information and communication technology (ICT) use, such as improved energy efficiency and resource management, and less to negative direct impacts of ICT, such as electricity consumption through ICT. In the second study (section 3, joint work with Marcel Matthess, Grischa Beier and Bing Xue), I conduct and analyse interviews with 18 industry representatives of the electronics industry from Europe, Japan and China on digitalisation measures in supply chains using qualitative content analysis. I find that while there are positive expectations regarding the effects of digital technologies on supply chain sustainability, their actual use and observable effects are still limited. Interview partners can only provide few examples from their own companies which show that sustainability goals have already been pursued through digitalisation of the supply chain or where sustainability effects, such as resource savings, have been demonstrably achieved. In the third study (section 4, joint work with Peter Neuhäusler, Melissa Dachrodt and Marcel Matthess), I conduct an econometric panel data analysis. I examine the relationship between the degree of Industry 4.0, energy consumption and energy intensity in ten manufacturing sectors in China between 2006 and 2019. The results suggest that overall, there is no significant relationship between the degree of Industry 4.0 and energy consumption or energy intensity in manufacturing sectors in China. However, differences can be found in subgroups of sectors. I find a negative correlation of Industry 4.0 and energy intensity in highly digitalised sectors, indicating an efficiency-enhancing effect of Industry 4.0 in these sectors. On the other hand, there is a positive correlation of Industry 4.0 and energy consumption for sectors with low energy consumption, which could be explained by the fact that digitalisation, such as the automation of previously mainly labour-intensive sectors, requires energy and also induces growth effects. In the discussion section (section 6) of this dissertation, I use the classification scheme of the three levels macro, meso and micro, as well as of direct and indirect environmental effects to classify the empirical observations into opportunities and risks, for example, with regard to the probability of rebound effects of digitalisation at the three levels. I link the investigated actor perspectives (policy makers, industry representatives), statistical data and additional literature across the system levels and consider political economy aspects to suggest fields of action for more sustainable (digitalised) industries. The dissertation thus makes two overarching contributions to the academic and societal discourse. First, my three empirical studies expand the limited state of research at the interface between digitalisation in industry and sustainability, especially by considering selected countries in the Global South and the example of China. Secondly, exploring the topic through data and methods from different disciplinary contexts and taking a socio-technical point of view, enables an analysis of (path) dependencies, uncertainties, and interactions in the socio-technical system across different system levels, which have often not been sufficiently considered in previous studies. The dissertation thus aims to create a scientifically and practically relevant knowledge basis for a value-guided, sustainability-oriented design of digitalisation in industry.
Essays in public economics
(2023)
This cumulative dissertation uses economic theory and micro-econometric tools and evaluation methods to analyse public policies and their impact on welfare and individual behaviour. In particular, it focuses on policies in two distinct areas that represent fundamental societal challenges in the 21st century: the ageing of society and life in densely-populated urban agglomerations. Together, these areas shape important financial decisions in a person's life, impact welfare, and are driving forces behind many of the challenges in today's societies. The five self-contained research chapters of this thesis analyse the forward looking effects of pension reforms, affordable housing policies as well as a public transport subsidy and its effect on air pollution.
This research focuses on empowering leadership, a leadership style that shares autonomy and responsibilities with the followers. Empowering leadership enhances the meaningfulness of work by fostering participation in decision-making, expressing confidence in high performance, and providing autonomy in target setting (Cheong, 2016). I examine how empowering leadership affects followers’ reflection. I used data from 528 individuals across 172 teams and found a positive relationship between empowering leadership and followers’ reflection. Followers’ reflection, in turn, is negatively associated with followers’ withdrawal, which mediates the beneficial effect of empowering leadership on leaders’ emotional exhaustion. As for the leaders, I propose that empowering leadership is negatively related also to leaders’ emotional exhaustion. This research broadens our understanding of empowering leadership's effects on both followers and leaders. Moreover, it integrates empowering leadership, leader emotional exhaustion, and burnout literature. Overall, empowering leadership strengthens members’ reflective attitudes and behaviors, which result in reduced withdrawal (and increased presence and contribution) in teams. Because the members contribute to team effort more, the leaders experience less emotional exhaustion. Hence, my work not only identifies new ways through which empowering leadership positively affects followers but also shows how these positive effects on followers benefit the leaders’ well-being.
This cumulative doctoral thesis consists of five empirical studies examining various aspects of crisis and change from a management-accounting perspective. Within the first study, a bibliometric analysis is conducted. More precisely, based on publications between the financial crisis (since 2007) and the COVID-19 crisis (starting in 2020), the crisis literature in management accounting is investigated to uncover the most influential aspects of the field and to analyze the theoretical foundations of the literature. Moreover, this investigation also serves to identify future research streams and to provide starting points for future research. Based on a survey, the second study investigates the impact of several management-accounting tools on organizational resilience and its effect on a company’s competitive advantage during a crisis. The results show that their target-oriented use positively influences organizational resilience and contributes to the company’s competitive advantage during the crisis. The third study provides a more detailed view on the relationship between budgeting and risk management and their benefit for companies in times of crisis. For this purpose, the relationship between the relevance of budgeting functions and risk management in the company and the corresponding impact on company performance are investigated. The results show a positive relationship. However, a crisis can also affect the relationship between the company and its shareholders: Thus, the fourth study – based on publicly available data and a survey – examines the consequences of virtual annual general meetings on shareholder rights. The results show that, temporarily, particularly the right to information was severely restricted. For the following year, this problem was fixed, and ultimately, the virtual option was introduced permanently. The crisis has thus brought about a lasting change. But not only crises cause changes: The fifth study, also based on survey data, investigates the changes in the role of management accountants caused by digitalization. More precisely, it investigates how management accountants deal with tasks that are considered outdated and unattractive. The results of the study show that different types of personalities also act differently as far as the willingness to do those unattractive tasks is concerned, and career ambitions also influence that willingness. In addition to this, the results provide insights into the motivation of management accountants to conduct tasks and thus counteract existing assumptions based on stereotypes and clichés circulating within the research community.
This cumulative dissertation consists of three full empirical investigations based on three separate collections of data dealing with the phenomenon of negotiations in audit processes, which are combined in two research articles. In the first study, I examine internal auditors’ views on negotiation interactions with auditees. My research is based on 23 semi-structured interviews with internal auditors (14 in-house and 9 external service providers) to gain insight into when and about what (RQ1), why (RQ2), and how (RQ3) they negotiate with auditees. By adapting the Gibbins et al. (2001) negotiation framework to the context of internal auditing, I obtain specific process (negotiation issue, auditor-auditee process, and outcome) and context elements that form the basis of my analyses. Through the additional use of inductive procedures, I conclude that internal auditors negotiate when they face professional and non-professional resistance from auditees during the audit process (RQ1). This resistance occurs in a variety of audit types and audit issues. Internal auditors choose negotiations to overcome this resistance primarily out of functional interest, as they cannot simply instruct auditees to acknowledge the findings and implement the required actions (RQ2). I find that the implementation of the required actions is the main goal of the respondents, which is also an important quality factor for internal auditing. Although few respondents interpret these interactions with auditees as negotiations, all respondents use a variety of negotiation strategies to create value (e.g., cost cutting, logrolling, and bridging) and claim value (e.g. positional commitment and threats) (RQ3). Finally, I contribute to empirical research on internal audit negotiations and internal audit quality by shedding light on the black box of internal auditor-auditee interactions. The second study consists of two experiments that examine the effects of tax auditors’ emotion expressions during tax audit negotiations. In the first experiment, we demonstrate that auditors expressing anger obtain more concessions from taxpayers than auditors expressing happiness. This reveals that taxpayers interpret auditors’ emotions strategically and do not respond affectively. In the second experiment, we show that the experience with an auditor who expressed either happiness or anger reduces taxpayers’ post-audit compliance compared to the experience with an emotionally neutral auditor. Apparently, taxpayers use their experience with an emotional auditor to rationalize later noncompliance. Taken together, both experiments show the potentially detrimental effects of positive and negative emotion expressions by the auditor and point to the benefits of avoiding emotion expressions. We find that when auditors avoid emotion expressions this does not result in fewer concessions from taxpayers than when auditors express anger. However, when auditors avoid emotion expressions this leads to a significantly better evaluation of the taxpayer-auditor relationship and significantly reduces taxpayers’ post-audit noncompliance.
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.
Distances affect economic decision-making in numerous situations. The time at which we make a decision about future consumption has an impact on our consumption behavior. The spatial distance to employer, school or university impacts the place where we live and vice versa. The emotional closeness to other individuals influences our willingness to give money to them. This cumulative thesis aims to enrich the literature on the role of distance for economic decision-making. Thereby, each of my research projects sheds light on the impact of one kind of distance for efficient decision-making.
Negotiations are a way of joint decision-making and thereby a form of social conflict. By determining the concrete allocation of scarce resources, negotiations have a great impact on the value creation of companies. If companies succeed in achieving better negotiation results in the long term, they can increase their profitability. Ensuring a company's negotiation success is therefore an organizational issue of central importance. While the question of ensuring individual negotiation success has been the subject and topic of multidisciplinary research for a long time, the question of how organizations can implement and ensure continuous negotiation success remains largely unexplored. This dissertation therefore aims to investigate how companies enable their employees to consistently achieve better negotiation outcomes. It is significant that, in the corporate context, negotiators do not act as individuals but as embedded representatives of an organization, and that negotiations are not one-time events but recurring necessities for the existence of the organization instead. In organizations, those recurring processes with a similar fundamental structure are handled by routines. A planned improvement of routines is often forced by new artifacts. In this context, artifacts refer to human-created technologies with which humans interact within routines and therefore artifacts have a central influence on executing the routine. If negotiation activities in companies are represented by organizational routines, one central issue for improving companies’ negotiation performance is the artifacts’ incorporation into organizational negotiation routines that facilitate the efficient application of the insights from negotiation research. The dissertation consists of three studies that were written as research papers to examine artifacts in the organizational negotiation context. The first study focuses on the pre-negotiation stage and presents four tools to assist negotiation practitioners in efficiently preparing for negotiation. The study examines the negotiation preparation’s effectiveness and efficiency and the negotiation outcome in a case-based experiment. The second study is devoted to a closer examination of the barriers that inhibit the adoption of negotiation support systems (NSSs) as one kind of organizational negotiation artifact. The investigation is conducted using a structural equation model based on information from participating practitioners. The third study is concerned with the future of negotiation support system research. An exploratory study based on qualitative in-depth interviews with proven and published experts in the field aims to evaluate the current state of research. The general discussion of the dissertation connects, summarizes, and concludes the study results and derives implications for practice, limitations, and future research ideas.
The present dissertation conducts empirical research on the relationship between urban life and its economic costs, especially for the environment. On the one hand, existing gaps in research on the influence of population density on air quality are closed and, on the other hand, innovative policy measures in the transport sector are examined that are intended to make metropolitan areas more sustainable. The focus is on air pollution, congestion and traffic accidents, which are important for general welfare issues and represent significant cost factors for urban life. They affect a significant proportion of the world's population. While 55% of the world's people already lived in cities in 2018, this share is expected to reach approximately 68% by 2050.
The four self-contained chapters of this thesis can be divided into two sections: Chapters 2 and 3 provide new causal insights into the complex interplay between urban structures and air pollution. Chapters 4 and 5 then examine policy measures to promote non-motorised transport and their influence on air quality as well as congestion and traffic accidents.
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.
Die Arbeit ist ein Beitrag zu einer grundlegenden Diskussion der Kapitalmarktforschung, dem messbaren Erfolg „aktiver vs. passiver“ Investmentstrategien. Der Autor setzt sich kritisch mit den wesentlichen Anlagestrategien und Modellen für Indexprodukte auseinander und beleuchtet zugleich Closet Indexing bei aktiv gemanagten Investmentfonds. Das Ergebnis zeigt, dass Closet Indexing nicht nur sporadisch auftritt, sondern eine weit verbreitete Anlagestrategie in vielen vermeintlich aktiv gemanagten Aktieninvestmentfonds ist.
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.
Despite the importance of negotiations in companies and their contribution to strategic corporate planning, researchers have not yet focused on assessing the development of negotiations in the future. To broaden the field of futures research in negotiations and to provide empirical guidance about strategic business decisions to negotiators and managers, this work exploratively investigates the future of negotiations. The impact of trends on negotiations and negotiation behavior, as well as the development of future negotiation scenarios are therefore examined. Moreover, the preparation of negotiators for the future is analyzed and how effective negotiation teaching can be designed to improve negotiation performance.
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.
Essays in labor economics
(2022)
This thesis offers insights into the process of workers decisions to invest into work-related training. Specifically, the role of personality traits and attitudes is analysed. The aim is to understand whether such traits contribute to an under-investment into training. Importantly, general and specific training are distinguished, where the worker’s productivity increases in many firms in the former and only in the current firm in the latter case. Additionally, this thesis contributes to the evaluation of the German minimum wage introduction in 2015, identifying causal effects on wages and working hours.
Chapters two to four focus on the work-related training decision. First, individuals with an internal locus of control see a direct link between their own actions and their labor market success, while external individuals connect their outcomes to fate, luck, and other people. Consequently, it can be expected that internal individuals expect higher returns to training and are, thus, more willing to participate. The results reflect this hypothesis with internal individuals being more likely to participate in general (but not specific) training. Second, training can be viewed either as a risky investment or as an insurance against negative labor income shocks. In both cases, risk attitudes are expected to play a role in the decision process. The data point towards risk seeking individuals being more likely to participate in general (but not specific) training, and thus, training being viewed on average as a risky investment. Third, job satisfaction influences behavioral decisions in the job context, where dissatisfied workers may react by neglecting their duties, improving the situation or quitting the job. In the first case, dissatisfied workers are expected to invest less in training, while the latter two reactions could lead to higher participation rates amongst dissatisfied workers. The results suggest that on average dissatisfied workers are less likely to invest into training than satisfied workers. However, closer inspections of quit intentions and different sources of dissatisfaction paint less clear pictures, pointing towards the complexity of the job satisfaction construct.
Chapters five and six evaluate the introduction of the minimum wage in Germany in 2015. First, in 2015 an increase in the growth of hourly wages can be identified as a causal effect of the minimum wage introduction. However, at the same time, a reduction in the weekly working hours results in an overall unchanged growth in monthly earnings. When considering the effects in 2016, the decrease in weekly working hours disappears, resulting in a significant increase in the growth of monthly earnings due to the minimum wage. Importantly, the analysis suggests that the increase in hourly wages was not sufficient to ensure all workers receiving the minimum wage. This points to non-compliance being an issue in the first years after the minimum wage introduction.
This cumulative doctoral thesis consists of three empirical studies that examine the role of top-level executives in shaping adverse financial reporting outcomes and other forms of corporate misconduct. The first study examines CEO effects on a wide range of offenses. Using data from enforcement actions by more than 50 U.S. federal agencies, regression re-sults show CEO effects on the likelihood, frequency, and severity of corporate misconduct. The findings hold for financial, labor-related, and environmental offenses; however, CEO effects are more pronounced for non-financial misconduct. Further results show a positive relation between CEO ability and non-financial misconduct, but no relation with financial misconduct, suggesting that higher CEO ability can have adverse consequences for employee welfare and society and public health. The second study focuses on CEO and CFO effects on financial misreporting. Using data on restatements and public enforcement actions, regression results show that the incremental effect of CFOs is economically larger than that of CEOs. This greater economic impact of CFOs is particularly pronounced for fraudulent misreporting. The findings remain consistent across different samples, methods, misreporting measures, and specification choices for the underlying conceptual mechanism, highlighting the important role of the CFO as a key player in the beyond-GAAP setting. The third study reexamines the relation between equity incentives and different reporting outcomes. The literature review reveals large variation in the empirical measures for firm size as standard control variable, equity incentives as key explanatory variables, and the reporting outcome of interest. Regres-sion results show that these design choices have a direct bearing on empirical results, with changes in t-statistics that often exceed typical thresholds for statistical significance. The find-ings hold for aggressive accrual management, earnings management through discretionary accruals, and material misstatements, suggesting that common design choices can have a large impact on whether equity incentives effects are considered significant or not.
On January 1, 2015, Germany introduced a general statutory minimum wage of €8.50 gross per hour. This thesis analyses the effects of the minimum wage introduction in Germany as well as wage floors in the European context, contributing to national and international research.
The second chapter of this dissertation summarizes the short-run effects of the minimum wage reform found in previous studies.
We show that the introduction of the minimum wage had a positive effect on wages at the bottom of the distribution. Yet, there was still a significant amount of non-compliance shortly after the reform. Additionally, previous evidence points to small negative employment effects mainly driven by a reduction in mini-jobs. Contrary to expectations, though, there were no effects on poverty and general inequality found in the short run. This is mostly due to the fact that working hours were reduced and the increase of hourly wages was therefore not reflected in monthly wages.
The third chapter identifies whether the job losses predicted in ex-ante studies materialized in the short run and, if so, which type of employment was affected the most. To identify the effects, this chapter (as well as chapter four) uses a regional difference-in-difference approach to estimate the effects on regular employment (part- and full-time) and mini-jobs.
Our results suggest that the minimum wage has slightly reduced overall employment, mainly due to a decline in mini-jobs.
The fourth chapter has the same methodological approach as the previous one. Its motivated by the fact that women are often overrepresented among low-wage employees. Thus, the primary research question in this chapter is whether the minimum wage has led to a narrowing of the gender wage gap. In order to answer that, we identify the effects on the wage gap at the 10th and 25th percentiles and at the mean of the underlying gender-specific wage distributions. Our results imply that for eligible employees the gender wage gap at the 10th percentile decreased by 4.6 percentage points between 2014 and 2018 in high-bite regions compared to low-bite regions. We estimate this to be a reduction of 32% compared to 2014. Higher up the distribution – i.e. at the 25th percentile and the mean – the effects are smaller and not as robust.
The fifth chapter keeps the gender-specific emphasis on minimum wage effects. However, in contrast to the rest of the dissertation, it widens the scope to other European Union countries. Following the rationale of the previous chapter, women could potentially benefit particularly from a minimum wage. However, they could also be more prone to suffer from the possibly induced job losses or reductions in working hours. Therefore, this chapter summarizes existing evidence from EU member states dealing with the relationship between wage floors and the gender wage gap. In addition, it provides a systematic summary of studies that examine the impact of minimum wages on employment losses or changes in working hours that particularly affect women. The evidence shows that higher wage floors are often associated with smaller gender wage gaps. With respect to employment, women do not appear to experience greater employment losses than men per se. However, studies show that the minimum wage has a particular impact on part-time workers. Therefore, it cannot be ruled out that the negative correlation between the minimum wage and the gender wage gap is related to the job losses of these lower-paid, often female, part-time workers. This working arrangement should therefore be specially focused on in the context of minimum wages.
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.
Moderne Technologien befähigen die beteiligten Akteure eines Produktionsprozesses die Informationsaufnahme, Entscheidungsfindung und -ausführung selbstständig auszuführen. Hierarchische Kontrollbeziehungen werden aufgelöst und die Entscheidungsfindung auf eine Vielzahl von Akteuren verteilt. Positive Folgen sind unter anderem die Nutzung lokaler Kompetenzen und ein schnelles Handeln vor Ort ohne (zeit-)aufwändige prozessübergreifende Planungsläufe durch eine zentrale Steuerungsinstanz. Die Bewertung der Dezentralität des Prozesses hilft beim Vergleich verschiedener Steuerungsstrategien und trägt so zur Beherrschung komplexerer Produktionsprozesse bei.
Obwohl die Kommunikationsstruktur der an der Entscheidungsfindung beteiligten Akteure zunehmend an Bedeutung gewinnt, existiert keine Methode, welche diese als Grundlage für die Operationalisierung der Dezentralität verwendet. Hier setzt diese Arbeit an. Es wird ein dreistufiges Bewertungsmodell entwickelt, dass die Dezentralität eines Produktionsprozesses auf Basis der Kommunikations- und Entscheidungsstruktur der am Prozess beteiligten, autonomen Akteure ermittelt.
Aufbauend auf einer Definition von Dezentralität von Produktionsprozessen werden Anforderungen an eine Kennzahl erhoben und - auf Basis der Kommunikationsstruktur - eine die strukturelle Autonomie der Akteure bestimmenden Kenngröße der sozialen Netzwerkanalyse ermittelt. Die Notwendigkeit der zusätzlichen Berücksichtigung der Entscheidungsstruktur wird basierend auf der Möglichkeit der Integration von Entscheidungsfindung und -ausführung begründet.
Die Differenzierung beider Faktoren bildet die Grundlage für die Klassifikation der Akteure; die Multiplikation beider Werte resultiert in dem die Autonomie eines Akteurs beschreibenden Kennwert tatsächliche Autonomie, welcher das Ergebnis der ersten Stufe des Modells darstellt. Homogene Akteurswerte charakterisieren eine hohe Dezentralität des Prozessschrittes, welcher Betrachtungsobjekt der zweiten Stufe ist. Durch einen Vergleich der vorhandenen mit der maximal möglichen Dezentralität der Prozessschritte wird auf der dritten Stufe der Autonomie Index ermittelt, welcher die Dezentralität des Prozesses operationalisiert.
Das erstellte Bewertungsmodell wird anhand einer Simulationsstudie im Zentrum Industrie 4.0 validiert. Dafür wird das Modell auf zwei Simulationsexperimente - einmal mit einer zentralen und einmal mit einer dezentralen Steuerung - angewendet und die Ergebnisse verglichen. Zusätzlich wird es auf einen umfangreichen Produktionsprozess aus der Praxis angewendet.
In the automotive industry, suppliers from the consumer electronics and high-tech industry are becoming increasingly relevant, for example in the context of automated vehicles. The carmakers’ purchasing organizations need to understand the power constellation in negotiations with these new suppliers, since negotiating power is the greatest lever for influencing the outcome of negotiations. This study analyzes the importance of organizational sources of power and their interplay with the products’ degree of innovation.
While estimated numbers of past and future climate migrants are alarming, the growing empirical evidence suggests that the association between adverse climate-related events and migration is not universally positive. This dissertation seeks to advance our understanding of when and how climate migration emerges by analyzing heterogeneous climatic influences on migration in low- and middle-income countries. To this end, it draws on established economic theories of migration, datasets from physical and social sciences, causal inference techniques and approaches from systematic literature review. In three of its five chapters, I estimate causal effects of processes of climate change on inequality and migration in India and Sub-Saharan Africa. By employing interaction terms and by analyzing sub-samples of data, I explore how these relationships differ for various segments of the population. In the remaining two chapters, I present two systematic literature reviews. First, I undertake a comprehensive meta-regression analysis of the econometric climate migration literature to summarize general climate migration patterns and explain the conflicting findings. Second, motivated by the broad range of approaches in the field, I examine the literature from a methodological perspective to provide best practice guidelines for studying climate migration empirically. Overall, the evidence from this dissertation shows that climatic influences on human migration are highly heterogeneous. Whether adverse climate-related impacts materialize in migration depends on the socio-economic characteristics of the individual households, such as wealth, level of education, agricultural dependence or access to adaptation technologies and insurance. For instance, I show that while adverse climatic shocks are generally associated with an increase in migration in rural India, they reduce migration in the agricultural context of Sub-Saharan Africa, where the average wealth levels are much lower so that households largely cannot afford the upfront costs of moving. I find that unlike local climatic shocks which primarily enhance internal migration to cities and hence accelerate urbanization, shocks transmitted via agricultural producer prices increase migration to neighboring countries, likely due to the simultaneous decrease in real income in nearby urban areas. These findings advance our current understanding by showing when and how economic agents respond to climatic events, thus providing explicit contexts and mechanisms of climate change effects on migration in the future. The resulting collection of findings can guide policy interventions to avoid or mitigate any present and future welfare losses from climate change-related migration choices.
Digital software platforms such as iOS or Android evolve quickly. Through regular updates, their set of built-in (core) features increases. While innovation allows strengthening platforms amidst competition, it can hurt contributors when introducing core features that are already provided by third-party developers (Platform Coring).
This book addresses the underexplored phenomenon of Platform Coring and provides strategical guidance for platform owners and third-party contributors. Platform owners are well-advised to carefully consider the benefits and risks for their platform ecosystem.
The book contributes by highlighting avenues to employ Platform Coring for the competitive advantage of the platform and ecosystem simultaneously.
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.
Negotiations between buyers and suppliers directly influence a company’s costs, revenue, and consequently its profits. The outcome of these negotiations relies heavily on the companies’ as well as the negotiators’ power position. Across three empirical articles the author demonstrates how the own power position can first be identified as well as improved and subsequently used to maximize profits in negotiations between sellers and buyers. In the first paper the sources underlying buyer and supplier power are identified and weighted. The results of the first paper show the impact of each single sources on the buyer and supplier power. The number of suppliers available for one product is by far the most important source of power for both sides. The results indicate that a higher number of suppliers leads to a better power position of the buyer and simultaneously to an inferior power position of a single supplier. The second paper aims to examine the impact of the number of suppliers on the outcome of buyer-seller-negotiations thereby considering the innovation level of the products purchased. The results of the second study which are based on real negotiation data from a German car manufacturer indicate that the number of available suppliers has a stronger impact on the negotiation outcome for innovative than for functional, less innovative products. The third paper analyzes how the ability to take the counterpart’s perspective (perspective taking ability) influences the negotiation outcome. This relationship is examined for different power positions. The results indicate that a negotiator’s high perspective taking ability leads to a more unfavorable negotiation outcome compared to low perspective taking ability. Simultaneously, high perspective taking ability causes a more positive perception of the conducted negotiation than low perspective taking ability. This contradictory effect of perspective taking ability bears the risk for buyers and suppliers to assess an unfavorable outcome as positive. Finally, the results of the papers are summarized and discussed. The dissertation concludes with implications for practice, limitations of the work, and approaches for future research.
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.
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.
With his September 2015 speech “Breaking the tragedy of the horizon”, the President of the Central Bank of England, Mark Carney, put climate change on the agenda of financial market regulators. Until then, climate change had been framed mainly as a problem of negative externalities leading to long-term economic costs, which resulted in countries trying to keep the short-term costs of climate action to a minimum. Carney argued that climate change, as well as climate policy, can also lead to short-term financial risks, potentially causing strong adjustments in asset prices. Analysing the effect of a sustainability transition on the financial sector challenges traditional economic and financial analysis and requires a much deeper understanding of the interrelations between climate policy and financial markets.
This dissertation thus investigates the implications of climate policy for financial markets as well as the role of financial markets in a transition to a sustainable economy. The approach combines insights from macroeconomic and financial risk analysis. Following an introduction and classification in Chapter 1, Chapter 2 shows a macroeconomic analysis that combines ambitious climate targets (negative externality) with technological innovation (positive externality), adaptive expectations and an investment program, resulting in overall positive macroeconomic outcomes. The analysis also reveals the limitations of climate economic models in their representation of financial markets. Therefore, the subsequent part of this dissertation is concerned with the link between climate policies and financial markets. In Chapter 3, an empirical analysis of stock-market responses to the announcement of climate policy targets is performed to investigate impacts of climate policy on financial markets. Results show that 1) international climate negotiations have an effect on asset prices and 2) investors increasingly recognize transition risks in carbon-intensive investments. In Chapter 4, an analysis of equity markets and the interbank market shows that transition risks can potentially affect a large part of the equity market and that financial interconnections can amplify negative shocks. In Chapter 5, an analysis of mortgage loans shows how information on climate policy and the energy performance of buildings can be integrated into risk management and reflected in interest rates.
While costs of climate action have been explored at great depth, this dissertation offers two main contributions. First, it highlights the importance of a green investment program to strengthen the macroeconomic benefits of climate action. Second, it shows different approaches on how to integrate transition risks and opportunities into financial market analysis. Anticipating potential losses and gains in the value of financial assets as early as possible can make the financial system more resilient to transition risks and can stimulate investments into the decarbonization of the economy.
Das Ziel der vorliegenden Dissertation war es herauszuarbeiten, ob Nachhaltigkeitsbewusstsein den Konsum von Luxusgütern beeinflusst und ob verschiedene Moderatoren einen Einfluss auf diesen Zusammenhang ausüben. Das Nachhaltigkeitsbewusstsein wurde dabei basierend auf dem von Balderjahn et al. (2013) entwickelten Consciousness-for-sustainable-consumption-Modell durch die ökologische, soziale und die ökonomische Nachhaltigkeit sowie ergänzend durch das Tierschutzbewusstsein und Bewusstsein für lokale Produktion repräsentiert. Als Moderatoren dienten das Streben nach sozialer Anerkennung und Prestige, Materialismus, Hedonismus und Traditionsbewusstsein. Für die Aufdeckung möglicher Zusammenhänge zwischen den verschiedenen Dimensionen der Nachhaltigkeit und Luxuskonsum wurde eine Prädiktorenanalyse durchgeführt. Moderatorenanalysen offenbarten zusätzlich, ob ein Einfluss der verschiedenen Moderatoren auf die einzelnen Zusammenhänge vorlag. Die Untersuchung zeigte, dass jeweils das Umweltbewusstsein, das Bewusstsein für genügsamen Konsum sowie das Bewusstsein für schuldenfreien Konsum als Teil der ökonomischen Nachhaltigkeit und das Tierschutzbewusstsein einen Einfluss auf den Luxuskonsum ausüben. Darüber hinaus konnten insgesamt sieben Einflüsse durch die verschiedenen Moderatorvariablen auf die unterschiedlichen Zusammenhänge zwischen den Nachhaltigkeitsdimensionen und Luxuskonsum aufgedeckt werden.
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.
This dissertation examines the activity of knowledge sharing by public employees in the workplace. Building on the Rubicon model of human behavior formation, I use a threefold approach to analyze the knowledge-sharing process: public employees’ motivation to share knowledge, their intention to share, and knowledge sharing behavior as such. The first article maps the knowledge-sharing behavior of public employees. It builds a typology of behavioral patterns and shows that public employees mainly share their knowledge responsively and directly with a knowledge receiver rather than an information medium. The second article elaborates on the construct of knowledge-sharing motivation and develops a scale to measure this kind of work motivation in a selective and domain-specific way. Data from three studies indicate three dimensions of knowledge-sharing motivation, namely appreciation, growth and altruism, and tangible rewards. Based on these dimensions, the third article analyzes whether the satisfaction of public employees’ underlying needs can foster ther knowledge-sharing intention. The study indicates that both tested treatments (appreciation by co-workers, benefits in a performance appraisal) positively affect knowledge-sharing intention if it is explicit knowledge that ought to be shared. However, no effects of either treatment can be found if implicit knowledge is shared. Hence, to foster sharing of explicit knowledge, the analyzed motivation-enhancing rewards can be used in public management practice. To enhance implicit knowledge sharing, ability- and opportunity-enhancing management instruments are discussed. All in all, this dissertation integrates a micro-level perspective on human knowledge sharing into a meso-level perspective on organizational knowledge management. It adds to the literature on workplace behaviors of public employees and knowledge management and aims to incorporate knowledge sharing and management into the public administration and management literature.
Die Gesundheitswirtschaft in Deutschland steht vor zahlreichen Veränderungen in ihrem Umfeld. Dabei mangelt es der Krankenhauslandschaft an ärztlichem Personal. Es fehlt insbesondere an Arztstunden bei zugleich steigendem Bedarf an medizinischen Leistungen. Der demografische Wandel, Abwanderung ins Ausland (z. B. in die Schweiz) und Extrapolationen wie Feminisierung des Arztberufs und der Wertewandel respektive Generationenforschung begünstigen diese
Entwicklung. Zudem wird der Arbeitsplatz Krankenhaus zunehmend als unattraktiv von zukünftigen Arbeitnehmerkohorten angesehen. Nachwuchsärzte entscheiden sich bereits im Studium vermehrt gegen die kurative Medizin beziehungsweise gegen eine medizinisch-klinische Tätigkeit. Ein virulentes Beschaffungsproblem zeichnet sich ab, das es zu lösen gilt.
Das Forschungsziel ist die Entwicklung eines ganzheitlichen strategischen Lösungsansatzes mit marktorientierter Akzentuierung für den Arbeitgeber Krankenhaus. Dabei wird das Krankenhaus als wissens- und kompetenzintensive Dienstleistungsorganisation definiert. Employer Branding stellt den Bezugsrahmen eines marktorientierten Personalmanagements dar. Ein forschungstheoretischer Unterbau wird durch strategische Managementansätze integriert. Employer Branding schlägt die Brücke vom Market-based View zum Competence-based View und ist Markenmanagement im Kontext des strategischen Personalmanagements. In der vorliegenden Arbeit wird ein holistischer Bezugsrahmen vorgestellt, der die Wirkungszusammenhänge respektive Employer Branding darstellt. Das Herzstück ist die Employer Value Proposition, die auf der Markenidentität der Organisation basiert. Ziel des Employer Branding Ansatzes ist es, unter anderem eine präferenzerzeugende Wirkung im Prozess der Arbeitsplatzwahl sicherzustellen.
Die Zielrichtung und die Erkenntnis-Interessen erfordern einen breit angelegten Forschungsansatz, der qualitative und quantitative Methoden kombiniert. Ziel der leitfadengesteuerten Tiefeninterviews (exploratives Studiendesign) ist es, bestehende und noch zu entwickelnde Kompetenzstärken der Krankenhausorganisationen zu identifizieren. Bei der Stichprobe handelt es sich um ein „Typical Case Sampling“ (N=12). Defizitäre Befunde, welche Werte und Attraktivitätsfaktoren bei angehenden Ärzten ausgeprägt sind, werden bestätigt. In der Krankenhauslandschaft wird eine fragmentarische und reaktive Herangehensweise identifiziert, die die erfolgreiche Rekrutierung von qualifiziertem Krankenhauspersonal erschwert.
Durch die qualitative Marktforschung werden Anforderungen des Marktes – also zukünftiges, ärztliches Krankenhauspersonal – auf faktorenanalytischer Basis analysiert. Die Stichprobe (N=475) ist isomorph. Dabei wird der Prozess der Einstellungsbildung in das neobehavioristische Erklärungsmodell des Käuferverhaltens eingeordnet. Die Vereinbarkeit von Beruf, Karriere und Familie sowie die betriebliche Kinderbetreuung werden als Schlüsselkomponenten erkannt.
Wichtigste Arbeitswerte in Bezug auf einen attraktiven Arbeitgeber sind Verlässlichkeit, Verantwortung und Respekt. Diese Komponenten haben kommunikativen Nutzen und Differenzierungskraft. Schließlich bewerten Bewerber ein Krankenhaus positiver im Prozess der Arbeitsplatzwahl, je mehr die Werte des potentiellen Arbeitnehmers mit dem Werteprofil der Person übereinstimmen (Person-Organisation Fit).
Krankenhausorganisationen, die den Employer Branding Ansatz implementieren und als Chance zur Definition ihrer Stärken, ihrer Vorzüge und ihres Leistungsangebots als Arbeitgeber annehmen, rüsten sich für das verstärkte Werben um Jungmediziner. Schließlich setzt Employer Branding als marktorientierter Strategieansatz intern und extern Kräfte frei, die Differenzierungsvorteile gegenüber anderen Arbeitgebern bringen. Dabei hat Employer Branding positive Auswirkungen auf den Human Ressource-Bereich entlang der Wertschöpfungskette und mindert das gesamtwirtschaftliche Problem.
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.