Refine
Has Fulltext
- no (55)
Year of publication
- 2021 (55) (remove)
Document Type
- Article (55) (remove)
Is part of the Bibliography
- yes (55)
Keywords
- bibliometric analysis (3)
- COVID-19 (2)
- Delphi study (2)
- co-citation analysis (2)
- learning factory (2)
- management (2)
- scenario (2)
- technological forecasting (2)
- AI and business informatics (1)
- AI-based decision support system (1)
- Air taxi (1)
- Airbnb (1)
- Artificial intelligence (1)
- Automatisierung (1)
- Big Data (1)
- CO₂-Fußabdruck (1)
- Cabinet (1)
- Canvas (1)
- Civil service career (1)
- Collaborative consumption (1)
- Coordination (1)
- Corona-Warn-App (1)
- Delphi (1)
- Delphi method (1)
- ERP (1)
- Employee anonymity (1)
- Employee audits (1)
- Federal administration (1)
- Forecasting (1)
- GHG Protocol (1)
- Geschäftsmodell (1)
- ISO 14067 (1)
- Internet of Things (1)
- IoT (1)
- Laddering interviews (1)
- Machine learning (1)
- Marketing (1)
- Means-end chain analysis (1)
- Ministries (1)
- Onlinekurse (1)
- PAS 2050 (1)
- Panorama (1)
- Performance misreporting (1)
- Policymaking (1)
- Political civil servant (1)
- Political craft (1)
- Politicisation (1)
- Process (1)
- Prozessintegration (1)
- RFID (1)
- RPA (1)
- Robotic Process Automation (1)
- Sustainable (1)
- Sustainable aviation (1)
- SwissCovid (1)
- Urban air mobility (1)
- VTOL (vertical take-off and landing) (1)
- VUCA (1)
- Voluntary simplicity (1)
- Weberian bureaucracy (1)
- Werbung (1)
- Wissensmanagement (1)
- Youth (1)
- accommodation sharing (1)
- age-appropriate competence development (1)
- artificial intelligence (1)
- augmented reality (1)
- automation (1)
- big data analytics (1)
- blockchain technology (1)
- business (1)
- business model (1)
- business model innovation (1)
- business research (1)
- cinema (1)
- cognitive overload (1)
- consumer empowerment (1)
- consumption (1)
- contact tracing (1)
- contact tracing app (1)
- cooperative AI (human-in-the-loop) (1)
- copyright (1)
- coring (1)
- corona contact tracing app (1)
- corporate entrepreneurship (1)
- co‐citation analysis (1)
- crisis (1)
- culture, identity, and inclusion (1)
- customization (1)
- databases (1)
- decision complexity (1)
- decision stages (1)
- demographic change (1)
- design for value approach (1)
- development of AI-based systems (1)
- difference-in-differences (1)
- digital marketplaces (1)
- digital platforms (1)
- digital proximity tracing (1)
- digitalization (1)
- double-hurdle model (1)
- drones (1)
- eHealth (1)
- educational technology (1)
- empowerment (1)
- enterprise architect (1)
- enterprise architecture management (1)
- environmental footprint (1)
- expenditures (1)
- extensive margin (1)
- film (1)
- firm behaviour (1)
- forecasting (1)
- foreign policy (1)
- grocery retailing (1)
- health concern (1)
- hospitality (1)
- human-centered AI (1)
- ict (1)
- idea adoption (1)
- idea selection (1)
- income effects (1)
- indirect rebound effects (1)
- institutions (1)
- intelligent tutoring systems (1)
- learning environment (1)
- manufacturing processes (1)
- metadata (1)
- mobile software ecosystems (1)
- modeling language (1)
- moral licensing (1)
- motion picture (1)
- movie (1)
- music industry (1)
- online innovation community (1)
- organic consumption (1)
- policy reform (1)
- preventive behavior (1)
- process integration (1)
- process-oriented knowledge acquisition (1)
- product carbon footprint (1)
- production control (1)
- production planning (1)
- programming skills (1)
- property rights (1)
- prosocial motivation (1)
- public health (1)
- refugees (1)
- reinforcement learning (1)
- risk perception (1)
- roles (1)
- sanctions (1)
- sharing economy (1)
- shopping pattern (1)
- skills (1)
- social inclusion (1)
- software engineering (1)
- spillover effects (1)
- stammgasts (1)
- standardization (1)
- start-up subsidies (1)
- substitution effects (1)
- sustainable consumption (1)
- systematic literature review (1)
- technology (1)
- tourism (1)
- trade (1)
- training (1)
- transparency (1)
- value capture (1)
- value configuration (1)
- value creation (1)
- vocational training (1)
- voluntarily simplicity (1)
- well-being (1)
- ökologischer Fußabdruck (1)
Institute
- Fachgruppe Betriebswirtschaftslehre (55) (remove)
The chapter analyses recent reforms in the multilevel system of the Länder, specifically territorial, functional and structural reforms, which represent three of the most crucial and closely interconnected reform trajectories at the subnational level. It sheds light on the variety of reform approaches pursued in the different Länder and also highlights some factors that account for these differences. The transfer of state functions to local governments is addressed as well as the restructuring of Länder administrations (e.g. abolishment of the meso level of the Länder administration and of single-purpose state agencies) and the rescaling of territorial boundaries at county and municipal levels, including a brief review of the recently failed (territorial) reforms in Eastern Germany.
Der nutzbringenden Einsatz einer Datenbrille besteht nicht nur aus der Brille selbst. Die potenzielle ressourcenschonende Assistenz bei der Abarbeitung von komplexen Workflows bedarf eine ausreichende Integration in die Anwendungssystemlandschaft. Implikation sind demnach zwei Hauptelemente: die Brille selbst und die Integrationssoftware. Beide Komponenten sind in geeigneter Form auszulegen und auf die intendierten Anwendungsfälle zu konfigurieren. Dieser Beitrag fasst die Erfahrungen aus zahlreichen Projekten zusammen und liefert einen Überblick über die Herausforderungen bei AR-Einführungen.
Auf Basis einer Umfrage unter 300 Beschäftigten im öffentlichen Dienst untersucht dieser Beitrag, welche möglichen Auswirkungen die Digitale Transformation auf das Tätigkeitsprofil von Mitarbeiterinnen und Mitarbeitern im öffentlichen Sektor haben kann. Zum einen finden sich erste Hinweise auf signifikante Effizienzpotenziale durch Automatisierung im öffentlichen Sektor. Zum anderen wird deutlich, dass die Mitarbeiterinnen und Mitarbeiter dieser Entwicklung mehrheitlich positiv gegenüberstehen und sie aktiv an der Verbesserung von Dienstleistungen mitwirken wollen. Aus diesen Erkenntnissen können zahlreiche Handlungsimplikationen für Veränderungsprojekte in der Praxis abgeleitet werden. Gleichzeitig ruft dieser Beitrag dazu auf, die Folgen der Digitalen Transformation für Mitarbeiterinnen und Mitarbeiter noch besser zu erforschen.
Im Zuge der Digitalisierung bietet Business Analytics das Potenzial, die Budgetierung insbesondere durch eine Automatisierung von Prozessschritten der Budgetierung maßgeblich weiterzuentwickeln. Dieser Beitrag zeigt mittels einer empirischen Untersuchung den Status quo des Einsatzes von Business Analytics im Rahmen der Budgetierung in Deutschland und geht auf die Beurteilung einer Automatisierung der Budgetierung durch Unternehmen ein.
The design of qualitative, excellent teaching requires collaboration between teachers and learners. For this purpose, face-to-face teaching benefits from a long-standing tradition, while digital teaching is comparatively still at the beginning of its dissemination. A major developmental step toward the digitization of teaching was achieved in the context of university teaching during the Covid 19 pandemic in spring 2020, when face-to-face teaching was interrupted for months. During this time, important insights into the opportunities and limitations of digital teaching were gained. This paper presents selected results of a study conducted at four German universities and with 875 responses in spring 2020. The study uncovers opportunities and limitations of digital teaching from the students’ perspective and against the background of their experience in the completely digital semester. The results are used as a basis for deriving design guidelines for digital teaching and learning offerings. Based on a model for analyzing the design of teaching and learning formats, these indications are structured according to the elements learners, teachers, teaching content, environment and teaching style.
The German system of public sector employment (including civil servants and public employees) qualifies as a classical European continental civil service model moulded in traditional forms of a Weberian bureaucracy. Its features include a career-based employment system with entry based on levels of formal qualification. Coordinated by legal frames and centralised collective bargaining, the civil service is, at the same time, decentralised and flexible enough to accommodate regional differences and societal changes. In comparison, the civil service system stands out for its high degrees of professionalism and legal fairness with low levels of corruption or cronyism.
ControlCenter 4.0
(2021)
Today’s mobile devices are part of powerful business ecosystems, which usually involve digital platforms. To better understand the complex phenomenon of coring and related dynamics, this paper presents a case study comparing iMessage as part of Apple’s iOS and WhatsApp. Specifically, it investigates activities regarding platform coring, as the integration of several functionalities provided by third-party applications in the platform core. The paper makes three contributions. First, a systematization of coring activities is developed. Coring modes are differentiated by the amount of coring and application maintenance. Second, the case study revealed that the phenomenon of platform coring is present on digital platforms for mobile devices. Third, the fundamentals of coring are discussed as a first step towards theoretical development. Even though coring constitutes a potential threat for third-party developers regarding their functional differentiation, an idea of what a beneficial partnership incorporating coring activities could look like is developed here.
Die Digitalisierung des deutschen Mittelstandes schreitet weiterhin schleppend voran. So verfügt zwar ein wachsender Teil dieser Unternehmen über vereinzelte Informations- und Kommunikationssysteme, die zielführende Vernetzung und Integration dieser Systeme stellt jedoch weiterhin eine große Aufgabe dar [1]. Besonders vor dem Hintergrund wachsender Bedürfnisse für Informationen und Transparenz sehen sich Unternehmen zunehmend mit der analyseorientierten Nutzbarmachung der Unternehmensdaten konfrontiert [2].
Shortening product development cycles and fully customizable products pose major challenges for production systems. These not only have to cope with an increased product diversity but also enable high throughputs and provide a high adaptability and robustness to process variations and unforeseen incidents. To overcome these challenges, deep Reinforcement Learning (RL) has been increasingly applied for the optimization of production systems. Unlike other machine learning methods, deep RL operates on recently collected sensor-data in direct interaction with its environment and enables real-time responses to system changes. Although deep RL is already being deployed in production systems, a systematic review of the results has not yet been established. The main contribution of this paper is to provide researchers and practitioners an overview of applications and to motivate further implementations and research of deep RL supported production systems. Findings reveal that deep RL is applied in a variety of production domains, contributing to data-driven and flexible processes. In most applications, conventional methods were outperformed and implementation efforts or dependence on human experience were reduced. Nevertheless, future research must focus more on transferring the findings to real-world systems to analyze safety aspects and demonstrate reliability under prevailing conditions.
Den Austausch fördern
(2021)
While a growing body of literature finds positive impacts of Start-Up Subsidies (SUS) on labor market outcomes of participants, little is known about how the design of these programs shapes their effectiveness and hence how to improve policy. As experimental variation in program design is unavailable, we exploit the 2011 reform of the current German SUS program for the unemployed which strengthened caseworkers' discretionary power, increased entry requirements and reduced monetary support. We estimate the impact of the reform on the program's effectiveness using samples of participants and non-participants from before and after the reform. To control for time-constant unobserved heterogeneity as well as differential selection patterns based on observable characteristics over time, we combine Difference-in-Differences with inverse probability weighting using covariate balancing propensity scores. Holding participants' observed characteristics as well as macroeconomic conditions constant, the results suggest that the reform was successful in raising employment effects on average. As these findings may be contaminated by changes in selection patterns based on unobserved characteristics, we assess our results using simulation-based sensitivity analyses and find that our estimates are highly robust to changes in unobserved characteristics. Hence, the reform most likely had a positive impact on the effectiveness of the program, suggesting that increasing entry requirements and reducing support increased the program's impacts while reducing the cost per participant. (C) 2021 Economic Society of Australia, Queensland. Published by Elsevier B.V. All rights reserved.
As the complexity of learning task requirements, computer infrastruc- tures and knowledge acquisition for artificial neuronal networks (ANN) is in- creasing, it is challenging to talk about ANN without creating misunderstandings. An efficient, transparent and failure-free design of learning tasks by models is not supported by any tool at all. For this purpose, particular the consideration of data, information and knowledge on the base of an integration with knowledge- intensive business process models and a process-oriented knowledge manage- ment are attractive. With the aim of making the design of learning tasks express- ible by models, this paper proposes a graphical modeling language called Neu- ronal Training Modeling Language (NTML), which allows the repetitive use of learning designs. An example ANN project of AI-based dynamic GUI adaptation exemplifies its use as a first demonstration.
As the focus on digital transformation and its unexplored opportunities is prospering, consulting firms have also turned their attention to it. Despite this increased attention, digital transformation project failure rate remains high, thereby reaffirming the “IT productivity paradox” or “AI productivity paradox. The purpose of this paper is to holistically scrutinize the current approach of digital transformation consulting. A deductive qualitative study draws upon the Human Technology Performance model to elucidate papers on digital transformation published by four major management consulting firms in 2014-2019. Whereas the focus on customer-centricity and some measures of corporate performance is prominent in the consulting approaches, the study results have revealed several “blind spots” that are still either neglected or poorly covered. Three main blind spots are particularly prominent from the analysis. First of all, consulting firms often apply a “one size fits all” approach, thereby neglecting contextual factors, such as age, size, or industry. Secondly, they neglect process level in the return on investment of IT. Thirdly, the suitability of IS development methods remains poorly considered. Hence, the paper argues that, while consulting firms purport to support digital transformation exigences and efforts, they, in fact, adhere to traditional approaches to business consulting.
Digitizing grocery retailing
(2021)
Multiple emerging technologies both threaten grocers and offer them attractive opportunities to enhance their value propositions, improve processes, reduce costs, and therefore generate competitive advantages. Among the variety of technological innovations and considering the scarcity of resources, it is unclear which technologies to focus on and where to implement them in the value chain. To develop the most probable technology forecast that addresses the application of emerging technologies in the grocery value chain within the current decade, we conduct a two-stage Delphi study. Our results suggest a high relevance of almost all technologies. The panel is only skeptical about three specific projections. As a consequence, grocers are advised to build up knowledge regarding the application of these technologies in the most promising areas of their value chain.
Um in der digitalisierten Wirtschaft mitzuspielen, müssen Unternehmen, Markt und insbesondere Kunden detailliert verstanden werden. Neben den „Big Playern“ aus dem Silicon Valley sieht der deutsche Mittelstand, der zu großen Teilen noch auf gewachsenen IT-Infrastrukturen und Prozessen agiert, oft alt aus. Um in den nächsten Jahren nicht gänzlich abgehängt zu werden, ist ein Umbruch notwendig. Sowohl Leistungserstellungsprozesse als auch Leistungsangebot müssen transparent und datenbasiert ausgerichtet werden. Nur so können Geschäftsvorfälle, das Marktgeschehen sowie Handeln der Akteure integrativ bewertet und fundierte Entscheidungen getroffen werden. In diesem Beitrag wird das Konzept der Data-Driven Organization vorgestellt und aufgezeigt, wie Unternehmen den eigenen Analyticsreifegrad ermitteln und in einem iterativen Transformationsprozess steigern können.
Digitization and demographic change are enormous challenges for companies. Learning factories as innovative learning places can help prepare older employees for the digital change but must be designed and configured based on their specific learning requirements. To date, however, there are no particular recommendations to ensure effective age-appropriate training of bluecollar workers in learning factories. Therefore, based on a literature review, design characteristics and attributes of learning factories and learning requirements of older employees are presented. Furthermore, didactical recommendations for realizing age-appropriate learning designs in learning factories and a conceptualized scenario are outlined by synthesizing the findings.
The increasing demand for software engineers cannot completely be fulfilled by university education and conventional training approaches due to limited capacities. Accordingly, an alternative approach is necessary where potential software engineers are being educated in software engineering skills using new methods. We suggest micro tasks combined with theoretical lessons to overcome existing skill deficits and acquire fast trainable capabilities. This paper addresses the gap between demand and supply of software engineers by introducing an actionoriented and scenario-based didactical approach, which enables non-computer scientists to code. Therein, the learning content is provided in small tasks and embedded in learning factory scenarios. Therefore, different requirements for software engineers from the market side and from an academic viewpoint are analyzed and synthesized into an integrated, yet condensed skills catalogue. This enables the development of training and education units that focus on the most important skills demanded on the market. To achieve this objective, individual learning scenarios are developed. Of course, proper basic skills in coding cannot be learned over night but software programming is also no sorcery.
Federal Administration
(2021)
The federal administration is significantly small (around 10 percent of all public employees). This speciality of the German administrative system is based on the division of responsibilities: the central (federal) level drafts and adopts most of the laws and public programmes, and the state level (together with the municipal level) implements them. The administration of the federal level comprises the ministries, subordinated agencies for special and selected operational tasks (e.g. the authorisation of drugs, information security and registration of refugees) in distinct administrative sectors (e.g. foreign service, armed forces and federal police). The capacity for preparing and monitoring government bills and statutory instruments is well developed. Moreover, the instruments and tools of coordination are exemplary compared with other countries, although the recent digital turn has been adopted less advanced than elsewhere.