Refine
Document Type
- Journal article (529) (remove)
Is part of the Bibliography
- yes (529)
Institute
- ESB Business School (529) (remove)
Publisher
- Elsevier (78)
- Springer (28)
- MDPI (22)
- MIM, Marken-Institut München (21)
- Springer Gabler (20)
- LIT (14)
- Lange (14)
- Thexis Verlag (13)
- MIT Center for Information Systems Research (12)
- Emerald (11)
- Hanser (10)
- Center for Promoting Education and Research (9)
- Wiley (8)
- MIM (6)
- Sage (6)
- Sciamus GmbH (6)
- Verl.-Gruppe Handelsblatt (6)
- Handelsblatt Fachmedien (5)
- VDI Fachmedien (5)
- Wiley-Blackwell (5)
- de Gruyter (5)
- DUZ Medienhaus (4)
- Hochschule Reutlingen (4)
- New-Business-Verl. (4)
- Verlag für ControllingWissen (4)
- Beck (3)
- Common Ground Publishing (3)
- De Gruyter (3)
- Hampp (3)
- IdW-Verlag (3)
- Schmidt (3)
- Schäffer-Poeschel (3)
- Scienpress (3)
- Taylor & Francis (3)
- Academy of Management (2)
- Altop-Verl. (2)
- Beck, Vahlen (2)
- Bundesverband Medien und Marketing (2)
- Centre of Sociological Research (2)
- Fachmedien Otto Schmidt (2)
- Handelsblatt Fachmedien GmbH (2)
- Haufe-Lexware (2)
- Hüthig (2)
- IACSIT Press (2)
- IUP Publ. (2)
- Inderscience Enterprises (2)
- Infonomics Society (2)
- Knapp (2)
- Koordinierungsstelle (2)
- MIM Marken Institut München (2)
- MIT (2)
- Marken-Institut München (2)
- Nomos (2)
- Palgrave Macmillan (2)
- Research Academy of Social Sciences (2)
- Routledge (2)
- Science Publishing Group (2)
- Scientific & Academic Publishing (2)
- Scientific Research Publishing (2)
- Solutions by Handelsblatt Media Group GmbH (2)
- Steinbeis (2)
- The Kelley School of Business, Indiana University (2)
- University College Cork (2)
- Virtus Interpress (2)
- Wiley Interscience (2)
- AIMS Press (1)
- ASME (1)
- Academic Star Publishing Company (1)
- Access Press UK (1)
- Adonis & Abbey (1)
- Adonis & Abbey Publishers (1)
- AfM Arbeitsgemeinschaft für Marketing (1)
- AfM, Arbeitsgemeinschaft für Marketing (1)
- American Marketing Association (1)
- Apluit (1)
- Association for Computing Machinery (1)
- Association for Information Systems (AIS) (1)
- BME (1)
- Braga (1)
- Business Perspectives (1)
- Canadian Center of Science and Education (1)
- Center for Information Systems Research (1)
- Centre for Promoting Ideas (1)
- De Gruyter Oldenbourg (1)
- Deutsche Gesellschaft für Personalführung (1)
- Deutscher Fachverlag (1)
- Duncker & Humblot (1)
- ESB Reutlingen Alumni e. V. (1)
- Editio Cantor Verlag (1)
- Education and Novel Technology Research Association (1)
- European Society of Business and Social Sciences (1)
- F.A.Z.-Institut für Management-, Markt- und Medieninformationen (1)
- FPRC (1)
- Fromm (1)
- Frontiers Research Foundation (1)
- Fuks e.V. (1)
- GBI-Genios Deutsche Wirtschaftsdatenbank GmbH (1)
- GESIS (1)
- GITO mbH Verlag (1)
- Gütersloher Verlagshaus (1)
- Hanser ; GBI Genios (1)
- Hanser ; GBI-Genios (1)
- Harvard Business School (1)
- Harvard Business School Publ. (1)
- Haufe (1)
- Henry Stewart Publications (1)
- Hochschule Hannover (1)
- Hochschulen für Angewandte Wissenschaften Baden-Württemberg, Koordinierungsstelle (1)
- Horizon Research Publishing (1)
- Huss (1)
- IDL GmbH Mitte (1)
- IEEE (1)
- IHK Mittlerer Niederrhein (1)
- IJECM (1)
- IdW-Verl. (1)
- Ifo (1)
- Ifo-Inst. (1)
- Indiana University (1)
- Industrie- und Handelskammer Region Stuttgart (1)
- Institut für Wirtschaftsforschung (1)
- Institute of Academic Research and Publication (1)
- International Federation of Automatic Control (1)
- International Scientific Press (1)
- JIBRM (1)
- John Wiley & Sons (1)
- Kelley School of Business, Indiana University (1)
- KennisDC Logistiek (1)
- Kluwer Law International (1)
- Konrad-Adenauer-Stiftung (1)
- Konradin (1)
- Koordinierungsstelle Forschung und Entwicklung der Fachhochschulen des Landes Baden-Württemberg (1)
- LAR Centre Press (1)
- Lange Verlag (1)
- MIM, Marken Institut München (1)
- MIM, Marken-Institut (1)
- Mediengruppe Oberfranken, Fachverlage GmbH & Co. KG (1)
- Nature Research (1)
- New Business Verlag (1)
- Next Level Interactive (1)
- North American Business Press (1)
- Oemus Media (1)
- Open Access Publishing Group (1)
- PLOS (1)
- Rek & Thomas Medien AG (1)
- Routledge, Taylor and Francis Group (1)
- SAIIE (1)
- Sakarya University (1)
- SciKa (1)
- Sciencedomain international (1)
- Scientific Research (1)
- Scientific research publishing (1)
- Soc. for Personality Research (1)
- Solutions by Handelsblatt Media Group (1)
- Springer Fachmedien (1)
- Springer Medizin (1)
- Springer Science + Business Media (1)
- Swiss Marketing (1)
- Süddeutsche Zeitung GmbH (1)
- Talent First Network (1)
- Tamkang University (1)
- TeDo-Verlag (1)
- Treuhand-Kammer, Schweizerische Kammer der Wirtschaftsprüfer, Steuerexperten und Treuhandexperten (1)
- UVW, Universitätsverlag Verlag Webler (1)
- Univ. of Illinois (1)
- University of Novi Sad, Fac. of Economics (1)
- University of Novi Sad, Faculty of Economics (1)
- Universität St. Gallen (1)
- VDE Verlag (1)
- Vahlen (1)
- Verl. Werben-&-Verkaufen (1)
- Verl.gruppe Handelsblatt (1)
- Verlag für Controllingwissen (1)
- Verlagsgruppe Handelsblatt (1)
- WGTL (1)
- Warsaw School of Economics, Department of Human Capital Development (1)
- Westburn Publ. (1)
- Wochenschau Verlag (1)
- World Scientific Publishing (1)
- Wydawnictwo Uniwersytetu Jagiellońskiego (1)
- ZBW (1)
- av-news (1)
- ifo Institut - Leibniz-Institut für Wirtschaftsforschung an der Universität München, München (1)
- uni-edition (1)
- Österreichischer Verband der Wirtschaftsingenieure (1)
This paper explores the application of People Analytics in
recruiting professors for universities of applied sciences. Using data-driven personas, the research project aims to identify and communicate the different paths and connections leading candidates to a professorship. The authors introduce the concept of personas, describe the underlying data source and derive an example for the current project.
Automatic content creation system for augmented reality maintenance applications for legacy machines
(2024)
Augmented reality (AR) applications have great potential to assist maintenance workers in their operations. However, creating AR solutions is time-consuming and laborious, which limits its widespread adoption in the industry. It therefore often happens that even with the latest generation machines, instead of an AR solution, the user only receives an electronic manual for the equipment operation and maintenance. This is commonplace with legacy machines. For this reason, solutions are required that simplify the creation of such AR solutions. This paper presents an approach using an electronic manual as a basis to create fast and cost-effective AR solutions for maintenance. As part of the approach, an application was developed to automatically identify and subdivide the chapters of electronic manuals via the bookmarks in the table of contents. The contents are then automatically uploaded to a central server and indexed with a suitable marker to make the data retrievable. The prepared content can then be accessed for creating context-related AR instructions via the marker. The application is characterized by the fact that no developers or experts are required to prepare the information. In addition to complying with common design criteria, the clear presentation of the contents and the intuitive use of the system offer added value for the performance of maintenance tasks. Together, these two elements form a novel way to retrofit legacy machines with AR maintenance instructions. The practical validation of the system took place in a factory environment. For this purpose, the content was created for a filter change on a CNC milling machine. The results show that inexperienced users can extract appropriate content with the software application. Furthermore, it is shown that maintenance workers, can access the content with an AR application developed for the Microsoft HoloLens 2 and complete simple tasks provided in the manufacturer's electronic manual.
Das Thema des Direktvertriebs (Direct-to-Customer oder kurz D-to-C) in der Automobilindustrie ist en vogue, denn nach Valtech (2023, S. 2) ist die Umstellung der Vertriebsmodelle in dieser Branche unumgänglich. Die Covid-19-Pandemie hat zudem noch als Katalysator für den D-to-C fungiert und die digitale Transformation sowie die Akzeptanz virtueller Verkaufsprozesse beschleunigt.
Tech hubs (THs) and cognate structures are nowadays ubiquitous in the innovation ecosystem of Sub-Saharan African (SSA) countries. However, the concept of THs is fuzzy due to the lack of a clear and universally accepted definition. This ambiguity is further compounded by the diverse range of organizations that self-identify as hubs, or are categorized as such by others. As a result, research on THs in SSA remained limited. Against the backdrop of established research on the interconnectedness of technology, innovation and entrepreneurship in different organizational forms, this paper is meant to provide fresh insights into the study of THs in SSA. To advance future research, first, it reveals what is special about THs in SSA and how they are related to existing concepts. I particularly argue that they contour a fourth-wave model of incubation. Second, four main categories are unfolded to delineate THs in SSA which is the cornerstone for future research.
Purpose – This paper aims to determine the affecting factors of the brand authenticity of startups in social media.
Design/methodology/approach – Using a qualitative method based on a grounded theory approach, this research specifies and classifies the affecting factors of brand authenticity of startups in social media through in-depth semi-structured interviews.
Findings – Multiple factors affecting the brand authenticity of startups in social media are determined and categorized as indexical, iconic and existential cues through this research. Connection to heritage and having credible support are determined as indexical cues. Founder intellectuality, brand intellectuality, commitment toward customers and proactive clear and interesting communications are identified as iconic cues. Having self-confidence and self-satisfaction, having intimacy with the brand and a joyful feeling for interactions with the community around the brand are determined as existential cues in this research. This research furthers previous arguments on a multiplicity of brand authenticity by shedding light on the relationship between the different aspects of authenticity and the form that different affecting factors can be organized together. Consumers eventually evaluate a strengthened perception of brand authenticity through existential cues that reflect the cues of other aspects (iconic and indexical) which passed through the goal-based assessment and self-authentication filter.
Research limitations/implications – The research sampling population can be more diversified in terms of sociodemographic attributes. Due to the qualitative methodology of this research, assessment of the findings through quantitative methods can be considered in future research. Practical implications – Using the findings of this research, startup managers can properly build a perception of authenticity in their consumers’ minds by using alternate factors while lacking major indexical cues such as heritage. This research helps startup businesses to design their brand communications better to convey their authenticity to their audiences.
Originality/value – This research determines the factors affecting the authenticity of startup brands in social media. It also defines the process of authenticity perception through different aspects of brand authenticity.
Human Digital Twin
(2022)
Man stelle sich vor, man könnte mit Unterstützung von künstlicher Intelligenz Spielabläufe von Bundesligaspielen oder sogar ganze WM-Partien simulieren. Oder der Trainer würde die Mannschaft im Endspiel anhand von Daten über den Gegner aufstellen und entsprechend psychologisch und physiologisch verschiedene Spielertypen auf den Platz schicken (vgl. Jahn). Ist das reine Fiktion? Nicht wirklich. Bereits heute werden die Leistungen von Sportlern immer häufiger digital analysiert und bewertet. Beispielsweise hat SAP eine Plattform entwickelt, die ein digitales Datenbild von Fußballspielern erstellt (vgl. SAP). Bei der letzten WM erhielt jeder Spieler über die neue Fifa Player App kurz nach der Begegnung präzise Statistiken zu seinen Leistungen während des Spiels (vgl. FIFA). Noch bessere Informationen sollen in Zukunft virtuelle Abbilder der Fußballspieler, digitale Zwillinge, liefern. Die dafür notwendigen Daten werden mithilfe von Sensoren im Trikot, in den Schuhen oder im Ball gewonnen. Durch erfassten Bewegungs- und Positionsdaten sowie Ballkontakten entsteht ein präzises Datenbild des Spielers. Solche Simulationen, die auf einem Modell des Menschen in der digitalen Welt beruhen, erfahren derzeit große Aufmerksamkeit in Wissenschaft und Praxis (vgl. van der Valk et al.). Nicht nur in der Fußballwelt, auch in der Medizin und im Kontext von Industrie 4.0 und Produktdesign, haben digitale menschliche Zwillinge das Potenzial, zu einer Schlüsseltechnologie zu werden.
In recent years, both fields, AI and VRE, have received increasing attention in scientific research. Thus, this article’s purpose is to investigate the potential of DL-based applications on VRE and as such provide an introduction to and structured overview of the field. First, we conduct a systematic literature review of the application of Artificial Intelligence (AI), especially Deep Learning (DL), on the integration of Variable Renewable Energy (VRE). Subsequently, we provide a comprehensive overview of specific DL-based solution approaches and evaluate their applicability, including a survey of the most applied and best suited DL architectures. We identify ten DL-based approaches to support the integration of VRE in modern power systems. We find (I) solar PV and wind power generation forecasting, (II) system scheduling and grid management, and (III) intelligent condition monitoring as three high potential application areas.
Do Chinese subordinates trust their German supervisors? A model of inter-cultural trust development
(2023)
In this qualitative study based on 95 interviews with Chinese subordinates and their German supervisors, we inductively develop a model which advances theoretical understanding by showing how inter-cultural trust development in hierarchical relationships is the result of six distinct elements: the subordinate trustor’s cultural profile (cosmopolitans, hybrids, culturally bounds), the psychological mechanisms operating within the trustor (role expectations and cultural accommodation), and contextual moderators (e.g., country context, time spent in foreign culture, and third-party influencers), which together influence the trust forms (e.g., presumptive trust, relational trust) and trust dynamics (e.g., trust breakdown and repair) within relationship phases over time (initial contact, trust continuation, trust disillusionment, separation, and acculturation). Our findings challenge the assumption that cultural differences result in low levels of initial trust and highlight the strong role the subordinate’s cultural profile can have on the dynamics and trajectory of trust in hierarchical relationships. Our model highlights that inter-cultural trust development operates as a variform universal, following the combined universalistic-particularistic paradigm in cross-cultural management, with both culturally generalizable etic dynamics, as well as culturally specific etic manifestations.
In the context of Industry 4.0, intralogistics faces an increasingly complex and dynamic environment driven by a high level of product customisation and complex manufacturing processes. One approach to deal with these changing conditions is the decentralised and intelligent connectivity of intralogistics systems. However, wireless connectivity presents a major challenge in the industry due to strict requirements such as safety and real-time data transmission. In this context, the fifth generation of mobile communications (5G) is a promising technology to meet the requirements of safety-critical applications. Particularly, since 5G offers the possibility of establishing private 5G networks, also referred to as standalone non-public networks. Through their isolation from public networks, private 5G networks provide exclusive coverage for private organisations offering them high intrinsic network control and data security. However, 5G is still under development and is being gradually introduced in a continuous release process. This process lacks transparency regarding the performance of 5G in individual releases, complicating the successful adoption of 5G as an industrial communication. Additionally, the evaluation of 5G against the specified target performance is insufficient due to the impact of the environment and external interfering factors on 5G in the industrial environment. Therefore, this paper aims to develop a technical decision-support framework that takes a holistic approach to evaluate the practicality of 5G for intralogistics use cases by considering two fundamental stages. The first of these analyses technical parameters and characteristics of the use case to evaluate the theoretical feasibility of 5G. The second stage investigates the application's environment, which substantially impacts the practicality of 5G, for instance, the influence of surrounding materials. Finally, a case study validates the proposed framework by means of an autonomous mobile robot. As a result, the validation proves the proposed framework's applicability and shows the practicality of the autonomous mobile robot, when integrating it into a private 5G network testbed.
Cyber-Physical Production Systems increasingly use semantic information to meet the grown flexibility requirements. Ontologies are often used to represent and use this semantic information. Existing systems focus on mapping knowledge and less on the exchange with other relevant IT systems (e.g., ERP systems) in which crucial semantic information, often implicit, is contained. This article presents an approach that enables the exchange of semantic information via adapters. The approach is demonstrated by a use case utilizing an MES system and an ERP system.