Prof. Dr. Sven Laumer

2024

• Buttke, L., Schötteler, S., Ebinger, F., & Seuring, S. (2024). The German Supply Chain Due Diligence Act: Impacts on Sustainable Supply Chain Management From a Stakeholder Perspective. Supply Chain Management-An International Journal, 29(5), 909-925. https://doi.org/10.1108/SCM-01-2024-0058
• Demlehner, Q., & Laumer, S. (2024). How the Terminator might affect the car manufacturing industry: Examining the role of pre-announcement bias for AI-based IS adoptions. Information & Management, 61(1). https://doi.org/10.1016/j.im.2023.103881
• Gengler, E., Hagerer, I., & Gales, A. (2024). Diversity bias in artificial intelligence. In Jonathan Passmore, Sandra J. Diller, Sam Isaacson, Maximilian Brantl (Eds.), The Digital and AI Coaches' Handbook - The Complete Guide to the Use of Online, AI, and Technology in Coaching. (pp. 229-240). London: Routledge.
• Gengler, E., Kraus, A., & Bodrožić-Brnić, K. (2024). Faires KI-Prompting - Ein Leitfaden für Unternehmen.
• Gengler, E., & Schmalenbach, K. (2024). Exploring Organizational AI Governance Maturity: A Case Study with Six Multinational Companies. In ICIS 2024 Proceedings. Bangkok, TH.
• Horneber, D., Tang, W., Meier, F., & Matzner, M. (2024). Exploring Users’ Moral Reasoning Processes and their Impact on the Continued Use of Algorithmic Systems. In Proceedings of the 45th International Conference on Information Systems. Bangkok, Thailand.
• Kuhn, L., & Meier, F. (2024). Under the Neurodivergent Umbrella - A Qualitative Exploration of Neurodivergence and Remote Work. In Proceedings of the 19th International Conference on Wirtschaftsinformatik. Würzburg, DE.
• Maier, C., Laumer, S., Sun, H., Thatcher, J.B., & Weitzel, T. (2024). Proposing Shocks and Dissatisfaction to Explain Quitting and Switching a Service: An Image Theory Perspective. Journal of the Association For Information Systems, 25(2), 362-406. https://doi.org/10.17705/1jais.00857
• Meier, F. (2024). Hybrid Work as the Holy Grail? The Influence of Telework Intensity on Envy and Professional Isolation. In Proceedings of the Proceedings of the 57th Hawaii International Conference on System Sciences. Hawaii.
• Ochmann, J., Michels, L., Tiefenbeck, V., Maier, C., & Laumer, S. (2024). Perceived algorithmic fairness: An empirical study of transparency and anthropomorphism in algorithmic recruiting. Information Systems Journal. https://doi.org/10.1111/isj.12482
• Oehlhorn, C.E., Maier, C., Laumer, S., & Weitzel, T. (2024). Attracting IT Talent: A Kano Analysis of Employer Attributes. Data Base for Advances in Information Systems, 55, 108-134. https://doi.org/10.1145/3685235.3685241
• Schmalenbach, K., Schwehn, T.-J., Bruckner, M., & Lindenmayr, M. (2024). Vicious or Virtuous Cycle? Towards a Social Cognitive Framework of the AI Divide. In Proceedings of the Twenty-Ninth DIGIT Workshop. Bangkok, TH.
• Schötteler, S., Meier, F., Gengler, E., & Laumer, S. (2024). The Relationship Between Profile Disclosure Breadth and Network Size on Professional Social Media: Gender as a Moderator (Forthcoming). Data Base for Advances in Information Systems, (In Press).
• Tarafdar, M., Stich, J., Maier, C., & Laumer, S. (2024). Techno‐eustress creators: Conceptualization and empirical validation. Information Systems Journal. https://doi.org/10.1111/isj.12515
• Weinert, C., Maier, C., Laumer, S., & Weitzel, T. (2024). How Embeddedness Influences IT-Induced Work–Home Boundary Reduction, Work–Home Conflict, and Job Outcomes. Information & Management, 61(3). https://doi.org/10.1016/j.im.2024.103929
• Weinert, C., Maier, C., Laumer, S., & Weitzel, T. (2024). How Embeddedness Influences IT-Induced Work–Home Boundary Reduction, Work–Home Conflict, and Job Outcomes. Information & Management, 61, 103929. https://doi.org/10.1016/j.im.2024.103929
• Werner, E., & Schmalenbach, K. (2024). Navigating AI Adoption: A Methodology for German SMEs. In Proceedings of the 19th International Conference on Wirtschaftsinformatik. Würzburg, DE.
• Wölfl, T., Gengler, E., & Laumer, S. (2024, January). Diversität braucht Digitalität, um die Benachteiligung der Elternschaft und Frauen abzumindern. Poster presentation at DivDig-Tagung, Bamberg.

2023

• Brechtelsbauer, B., & Tang, W. (2023). On the Disappearance of the Metaverse: Three Scenarios for the Future. In Proceedings of the ICIS 2023 TREOS. Hyderabad, India, IN.
• Davison, R.M., Laumer, S., Tarafdar, M., & Wong, L.H. (2023). Pickled eggs: Generative AI as research assistant or co-author? Information Systems Journal. https://doi.org/10.1111/isj.12455
• Dwivedi, Y.K., Kshetri, N., Hughes, L., Slade, E.L., Jeyaraj, A., Kar, A.K.,... Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71. https://doi.org/10.1016/j.ijinfomgt.2023.102642
• Gengler, E., Wedel, M., Wudel, A., & Laumer, S. (2023). Power Imbalances in Society and AI: On the Need to Expand the Feminist Approach. In Proceedings of the 18th International Conference on Wirtschaftsinformatik. Paderborn, DE.
• Horneber, D., & Laumer, S. (2023). Algorithmic Accountability. Business & Information Systems Engineering. https://doi.org/10.1007/s12599-023-00817-8
• Laumer, S., & Maier, C. (2023). ICT-based training and education in volunteer sports communities: an action design research project with soccer referees during the COVID-19 pandemic. Internet Research. https://doi.org/10.1108/INTR-10-2021-0714
• Laumer, S., Meier, F., & Schwehn, T.-J. (2023). Hybrides Arbeiten - Der große Wurf oder die große Depression? Studienreihe Zukunft der Arbeit - Ausgabe 1.
• Michels, L., Ochmann, J., Schmitt, K., Laumer, S., & Tiefenbeck, V. (2023). Salience, transparency, and self-nudging: a digital nudge to promote healthier food product choices. European Journal of Information Systems. https://doi.org/10.1080/0960085X.2023.2229787
• Ochmann, J., & Lehrer, C. (2023). One Save per Day: How mobile technology can support individuals to adopt pro-environmental behaviors. In Proceedings of the Hawaii International Conference on System Sciences (HICSS).
• Scepanski, E., Schömer, D., Zillner, S., & Laumer, S. (2023). Survival of the Fittest: A Business Model Perspective to explain Innovation Ecosystem Membership.
• Schmalenbach, K., Brechtelsbauer, B., Schötteler, S., & Laumer, S. (2023). Understanding Information-Limiting Environments in Personalized News Platforms—A Systems Perspective. In Proceedings of the International Conference on Information Systems (ICIS) 2023. Hyderabad, Indien.
• Schmalenbach, K., Gengler, E., Schötteler, S., & Laumer, S. (2023). Unraveling Information-Limiting Environments: An Empirical Review of Individual, Social, and Technological Filters in Social Media. In Proceedings of the 18th International Conference on Wirtschaftsinformatik. Paderborn, DE.
• Schächtner, S., & Breuer, J. (2023). Technische Umsetzung einer bildungsbereichsübergreifenden Fortbildung im Blended-Learning-Format mithilfe von Lernmanagementsystemen. In Karl Wilbers (Hrg.), Geprüfte Berufsspezialisten/innen für Industrielle Transofrmation. Durchführung und Weiterentwicklung einer beruflichen Fortbildung auf dem DQR-Niveau 5 im InnoVET-Projekt BIRD. (S. 97-108). Berlin: epubli GmbH.
• Schönian, K., Brechtelsbauer, B., & Hasreiter, S. (2023). Unravelling acceptance in the light of technology: Insights, perspectives and a research approach. Bayrisches Forschungsinstitut für Digitale Transformation.
• Schötteler, S., & Horneber, D. (2023). Is Keeping It Real Enough? How Perceived Content Authenticity and Self-Esteem Influence Envy on Social Networking Sites. In Proceedings of the Thirty-first European Conference on Information Systems (ECIS 2023) (pp. 1-17). Kristiansand, Norway: Association for Information Systems.
• Schötteler, S., Laumer, S., & Schuhbauer, H. (2023). Consequences of Enterprise Social Media Network Positions for Employees: A Literature Review and Research Agenda. Business & Information Systems Engineering, 65(4), 425-440. https://doi.org/10.1007/s12599-023-00803-0
• Tang, W., & Brechtelsbauer, B. (2023). Does IT at Work have to $#!& or How Can We Create Better IT Experiences?: A Call to Study Digital Employee Experiences. In Proceedings of the ICIS 2023 TREOS. Hyderabad, India, IN.
• Yelisieieva, O., Lyzhnyk, Y., Stolietova, I., & Kutova, N. (2023). Study of Best Practices of Green Energy Development in the EU Countries Based on Correlation and Bagatofactor Autoregressive Forecasting. Economics : the Open-Access, Open-Assessment e-Journal. https://dx.doi.org/10.2478/eoik-2023-0029

2022

• Bruckner, M., Grüning, M., Lindenmayr, M., & Schmalenbach, K. (2022). Mind the Gap: A Theory Development Approach for Explaining the Divergence of Human Information Processing Capacity and Information Amount.
• Gengler, E. (2022). Feministische Künstliche Intelligenz - Der Schlüssel zur Steuerung von diskriminierungsfreiem Verhalten? REthinking: Law, Die Beeinflussung von menschlichem Verhalten durch KI(6), 32-35.
• Horneber, D., & Laumer, S. (2022). "The app caused me to cancel" - Understanding Mobile Health App Dissatisfaction: An Affordance Perspective. In European Conference on Information Systems (ECIS 2022). Timișoara, RO.
• Laumer, S., Maier, C., & Weitzel, T. (2022). Chapter 6: HR machine learning in recruiting. In Handbook of Research on Artificial Intelligence in Human Resource Management. (pp. 105–126). Cheltenham, UK: Edward Elgar Publishing.
• Laumer, S., & Morana, S. (2022). Chapter 12: HR natural language processing - conceptual overview and state of the art on conversational agents in human resources management. In Handbook of Research on Artificial Intelligence in Human Resource Management. (pp. 226–242). Cheltenham, UK: Edward Elgar Publishing.
• Maier, C., Laumer, S., Thatcher, J.B., Wirth, J., & Weitzel, T. (2022). Trial-period technostress: a conceptual definition and mixed-methods investigation. Information Systems Research, 33(2), 489 - 514. https://doi.org/10.1287/isre.2021.1047
• Maier, C., Laumer, S., & Weitzel, T. (2022). A Dark Side of Telework: A Social Comparison-Based Study from the Perspective of Office Workers. Business & Information Systems Engineering. https://doi.org/10.1007/s12599-022-00758-8
• Mattes, C., Meier, F., & Laumer, S. (2022). Employee Perception of Enforced Telework in the Context of the Covid-19 Pandemic. In Proceedings of the Proceedings of the 2022 Computers and People Research Conference.
• Meier, F., & Laumer, S. (2022). Chapter 7: Machine learning in HR staffing. In Handbook of Research on Artificial Intelligence in Human Resource Management. (pp. 127–148). Cheltenham, UK: Edward Elgar Publishing.
• Meier, F., & Laumer, S. (2022). Uncovering the Necessary Hard- and Soft-Skills to Get IT Personnel Jobs: A Text Mining Approach. In Proceedings of the Proceedings of the 2022 Computers and People Research Conference.
• Michels, L., Ochmann, J., Günther, S.A., Laumer, S., & Tiefenbeck, V. (2022). Empowering Consumers to Make Environmentally Sustainable Online Shopping Decisions: A Digital Nudging Approach. In Proceedings of the HICSS 2022.
• Michels, L., Ochmann, J., Tiefenbeck, V., & Laumer, S. (2022). The Acceptance of AI-based Recommendations: An Elaboration Likelihood Perspective. In Proceedings of the 17. Internationale Tagung Wirtschaftsinformatik.
• Ochmann, J. (2022). Just like you like it - The effects of transparency and decision outcome on the evaluation of human and algorithmic decision-making. In Proceedings of the 17. Internationale Tagung Wirtschaftsinformatik. Nürnberg.
• Schmalenbach, K., Gengler, E., & Laumer, S. (2022). Promoting Diverse News Consumption Through User Control Mechanisms. In Proceedings of the International Conference on Information Systems (ICIS) 2022. Copenhagen, DK.
• Schötteler, S. (2022). Emergence Antecedents of Enterprise Social Media Networks: A Literature Review and Directions for Future Research. In Proceedings of the Thirtieth European Conference on Information Systems (ECIS 2022) (pp. 1-12). Timișoara, Romania, RO: Association for Information Systems.
• Schötteler, S., Laumer, S., Schuhbauer, H., Müller, L., Hahn, A., Abend, F., & Viessmann, M. (2022). Inferring Information Reception Velocity from Network Positions in Microblogs: A Quantitative Study. In Association for Computing Machinery (Eds.), Proceedings of the 2022 Conference on Computers and People Research Conference (SIGMIS-CPR'22).. Atlanta, Georgia, USA, US.
• Weinert, C., Maier, C., Laumer, S., & Weitzel, T. (2022). Repeated IT Interruption: Habituation and Sensitization of User Responses. Journal of Management Information Systems, Volume 39, 2022, 187-217. https://doi.org/10.1080/07421222.2021.2023411
• Werle, M., & Laumer, S. (2022). Competitor identification: A review of use cases, data sources, and algorithms. International Journal of Information Management, 65(102507). https://doi.org/10.1016/j.ijinfomgt.2022.102507

2021

• Demlehner, Q. (2021). Designing AI-based systems to last: Identifying the enablers and inhibitors for the AI usage intentions of automotive blue-collar workers. In Proceedings of the Proceedings of the 29th European Conference on Information Systems (ECIS) 2021. An Online AIS Conference.
• Demlehner, Q., Schömer, D., & Laumer, S. (2021). How can artificial intelligence enhance car manufacturing? A Delphi study-based identification and assessment of general use cases. International Journal of Information Management, 58(102317), 1-14. https://doi.org/10.1016/j.ijinfomgt.2021.102317
• Demlehner, Q., Schömer, D., & Laumer, S. (2021). If you go for AI, be aware of the psychological hurdles around it—Practical and theoretical insights on the industrial application of artificial intelligence. In Kai-Ingo Voigt; Julian M. Müller (Eds.), Digital Business Models in Industrial Ecosystems - Lessons Learned from Industry 4.0 Across Europe. (pp. 173-185).
• Laumer, S., & Maier, C. (2021). How soccer referees changed their mind: A belief-update perspective on digital learning during the Covid-19 pandemic. In Proceedings of the Proceedings of the 2021 Americas Conference on Information Systems. Montreal, Kanada, CA.
• Laumer, S., & Maier, C. (2021). Why do people (not) want to work from home? An individual-focused literature review on telework. In Association for Computing Machinery (Eds.), Proceedings of the SIGMIS-CPR'21: Proceedings of the 2021 on Computers and People Research Conference (pp. 41–49).
• Maier, C., Laumer, S., Josephs, D., Mattke, J., & Weitzel, T. (2021). Turnback Intention: An Analysis of the Drivers of IT Professionals’ Intention to Return to a Former Employer. Mis Quarterly, forthcoming. https://doi.org/10.25300/misq/2021/16033
• Maier, C., Laumer, S., Tarafdar, M., Mattke, J., Reis, L., & Weitzel, T. (2021). Challenge and hindrance IS use stressors and appraisals: Explaining contrarian associations in post-acceptance IS use behavior. Journal of the Association For Information Systems. https://doi.org/10.17705/1jais.00709
• Maier, C., Laumer, S., Weitzel, T., & Josephs, D. (2021). Are IT professionals better off when they return to their former employer? An employee perspective on IT boomerang careers. In Association for Computing Machinery (Eds.), Proceedings of the SIGMIS-CPR'21: Proceedings of the 2021 on Computers and People Research Conference.
• Michels, L., Schmitt, K., Ochmann, J., Laumer, S., & Tiefenbeck, V. (2021). Is It All About Transparency? The Effectiveness and Ethics of a Digital Salience Nudge. In Proceedings of the Proceedings of the 2021 European Conference on Information Systems. Marrackech, Morocco.
• Schömer, D., Laumer, S., Treischl, E., Weigert, J., Wilbers, K., & Wolbring, T. (2021). Data-driven Student Advisory and Potential Direct Discrimination: A Literature Review on Machine Learning for Predicting Students' Academic Success. In Proceedings of the Americas Conference on Information Systems. Montreal, CA.
• Schötteler, S., Laumer, S., Schuhbauer, H., Scheidthauer, N., Seeberger, P., & Miethsam, B. (2021). A No-Code Platform for Tie Prediction Analysis in Social Media Networks. In Association for Information Systems (AIS eLibrary) (Eds.), Proceedings of the 16. Internationale Tagung Wirtschaftsinformatik (pp. 1-17). Essen, Germany, DE: Association for Information Systems.
• Treischl, E., Laumer, S., Schömer, D., Weigert, J., Wilbers, K., & Wolbring, T. (2021). Give a Little, Take a Little? A Factorial Survey Experiment on Students’ Willingness to Use an AI-based Advisory System and to Share Data. In T. Wolbring, H. Leitgöb, & F. Faulbaum (Eds.), Sozialwissenschaftliche Datenerhebung im digitalen Zeitalter. (pp. 253-281). Wiesbaden: Springer VS.
• Weinert, C., Maier, C., Laumer, S., & Weitzel, T. (2021). Correction to: Technostress mitigation: an experimental study of social support during a computer freeze (Journal of Business Economics, (2020), 90, 8, (1199-1249), 10.1007/s11573-020-00986-y). Journal of Business Economics. https://doi.org/10.1007/s11573-021-01036-x
• Wirth, J., Maier, C., Laumer, S., & Weitzel, T. (2021). Laziness as an explanation for the privacy paradox: a longitudinal empirical investigation. Internet Research. https://doi.org/10.1108/INTR-10-2019-0439

2020

• Demlehner, Q., & Laumer, S. (2020). Shall we use it or not? Explaining the adoption of artificial intelligence for car manufacturing purposes. In Proceedings of the Proceedings of the 28th European Conference on Information Systems (ECIS) 2020. An Online AIS Conference.
• Demlehner, Q., & Laumer, S. (2020). Why context matters: Explaining the digital transformation of the manufacturing industry and the role of the industry's characteristics in it. Pacific Asia Journal of the Association for Information Systems, 12(3), 57-81. https://doi.org/10.17705/1pais.12303
• Laumer, S., & Ochmann, J. (2020). Künstliche Intelligenz, Chatbots und Rekrutierung: Die Sicht der Kandidaten. Friedrich-Alexander Universität Erlangen-Nürnberg.
• Laumer, S., Quesenberry, J., Joseph, D., Maier, C., Beimborn, D., & Srivastava, S.C. (2020). ACM SIGMIS CPR 2020 Introduction. In SIGMIS-CPR 2020 - Proceedings of the 2020 Computers and People Research Conference (pp. iii-). Nuremberg, DE: Association for Computing Machinery, Inc.
• Laumer, S., Quesenberry, J., Josephs, D., Maier, C., Beimborn, D., & Srivastava, S.C. (Eds.) (2020). Proceedings of the 2020 ACM SIGMIS Conference on Computers and People Research. .
• Maier, C., Laumer, S., Thatcher, J.B., Heshan, S., Weinert, C., & Weitzel, T. (2020). Social Networking Site Use Resumption: A Model of Return Migration. Journal of the Association For Information Systems.
• Ochmann, J., & Laumer, S. (2020). AI Recruitment: Explaining job seekers' acceptance of automation in human resource management. In Proceedings of the 15th International Conference on Wirtschaftsinformatik. Potsdam, DE.
• Ochmann, J., Michels, L., Zilker, S., Tiefenbeck, V., & Laumer, S. (2020). The influence of algorithm aversion and anthropomorphic agent design on the acceptance of AI-based job recommendations. In International Conference on Information Systems (ICIS) (Eds.), Proceedings of the 41st International Conference on Information Systems (ICIS). Hyderabad, Indien, IN.
• Ochmann, J., Zilker, S., & Laumer, S. (2020). Job Seekers' Artificial Intelligence-related Black Box Concerns. In Association for Computing Machinery (Eds.), Proceedings of the 2020 on Computers and People Research Conference (pp. 101-102). New York, NY, USA,, DE.
• Oehlhorn, C., Laumer, S., Maier, C., & Weitzel, T. (2020). Gender Diversity in IT: A Case Study on Sustainably Successful Interventions. In International Conference on Information Systems (ICIS) (Eds.), Proceedings of the Forthcoming in: Proceedings of the 41st International Conference on Information Systems (ICIS) (Research in Progress). Hyderabad, India, IN.
• Oehlhorn, C.E., Maier, C., Laumer, S., & Weitzel, T. (2020). Human resource management and its impact on strategic business-IT alignment: A literature review and avenues for future research. Journal of Strategic Information Systems. https://doi.org/10.1016/j.jsis.2020.101641
• Schmalenbach, K., & Laumer, S. (2020). Does Data-Driven Recruitment Lead to Less Discrimination? - A Technical Perspective. In Proceedings of the 15th International Conference on Wirtschaftsinformatik. Potsdam, DE.
• Schötteler, S. (2020). Evolution of Enterprise Social Media Networks: A Research Proposal. In Association for Computing Machinery (Eds.), Proceedings of the 2020 Conference on Computers and People Research Conference (SIGMIS-CPR'20). (pp. 166-166). Nuremberg, Germany, DE.
• Tarafdar, M., Maier, C., Laumer, S., & Weitzel, T. (2020). Explaining the link between technostress and technology addiction for social networking sites: A study of distraction as a coping behavior. Information Systems Journal, Volume 30, Issue 1, 96-124. https://doi.org/10.1111/isj.12253
• Weinert, C., Maier, C., Laumer, S., & Weitzel, T. (2020). IS Reappraisal and Technology Adaptation Behaviors: A Longitudinal Study During an IS Implementation. Data Base for Advances in Information Systems, 11-39. https://doi.org/10.1145/3433148.3433151
• Weinert, C., Maier, C., Laumer, S., & Weitzel, T. (2020). Technostress mitigation: an experimental study of social support during a computer freeze. Journal of Business Economics, Volume 90, Issue 4, 1-51. https://doi.org/10.1007/s11573-020-00986-y
• Weitzel, T., Maier, C., Weinert, C., Pflügner, K., Oehlhorn, C., Wirth, J., & Laumer, S. (2020). Digitalisierung und Zukunft der Arbeit - Ausgewählte Ergebnisse der Recruiting Trends 2020 und der Bewerbungspraxis 2020. Bamberg.
• Weitzel, T., Maier, C., Weinert, C., Pflügner, K., Oehlhorn, C., Wirth, J., & Laumer, S. (2020). Employer Branding - Ausgewählte Ergebnisse der Recruiting Trends 2020 und der Bewerbungspraxis 2020. Bamberg.
• Weitzel, T., Maier, C., Weinert, C., Pflügner, K., Oehlhorn, C., Wirth, J., & Laumer, S. (2020). Generation Z - die Arbeitnehmer von morgen - Ausgewählte Ergebnisse der Recruiting Trends 2020 und der Bewerbungspraxis 2020. Bamberg.
• Weitzel, T., Maier, C., Weinert, C., Pflügner, K., Oehlhorn, C., Wirth, J., & Laumer, S. (2020). Social Recruiting und Active Sourcing - Ausgewählte Ergebnisse der Recruiting Trends 2020 und der Bewerbungspraxis 2020. Otto-Friedrich-Universität Bamberg.
• Wirth, J., Maier, C., Laumer, S., Oehlhorn, C., & Weitzel, T. (2020). Benefits in Privacy Research: A Literature Review, Status Quo and Future Research Directions. In Association for Computing Machinery (pp. 135-141). New York, NY, USA,, US.