The chair’s research interests center on management, people and information issues, i.e. how to enable individuals and organizations to thrive and be efficient. Specific areas of focus include organizational behavior, developing organizational capabilities, and information and communication technologies. The chair follows a problem driven, interdisciplinary, multi-method approach.
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Artificial intelligence is playing an increasingly important role in the workplace. From scenarios in which autonomous, learning role agents develop products and services, to decision-substituting AI that relieves employees of actual decision-making, to generative AI, there are numerous applications that influence a wealth of areas in the organization (e.g., management of future skills, autonomous processes and structures). At the Chair of Management, People, and Information (Prof. Dr. Marina Fiedler), we have intensively investigated how AI influences employee identity, what unintended consequences of AI in the organization may arise from its use, how to enable transparency in AI models using XAI, and how AI principles influence organizational identity. It turns out that decision-substituting AI can have empowering effects on less experienced and low-skilled employees. On the one hand, this technology enables them to be provided with better tools and resources to perform their tasks more efficiently. On the other hand, AI can also have a debilitating effect on experienced, well-trained employees by challenging their identities. Among the unexpected consequences we identified is that well-trained employees in particular challenge decision-substituting AI and often do not easily accept the outcome. These findings indicate both that employees do not want to be constrained by decision-substituting AI and that these unintended consequences require that the use and adaptation of these systems be carefully monitored. To better understand the results produced by AI and make informed decisions, we rely on Explainable AI (XA). XAI technologies make it possible to shed light on the decision-making processes of AI systems and make their conclusions understandable. We are looking at how these systems can be deployed so that the information generated by AI is trustworthy and enables employees to make better decisions. For the integration of AI into the organization to be effective for all stakeholders, clear guidelines and principles need to be developed. These principles help manage organizational identity and ensure that AI supports organizational values and goals through ethically responsible AI use. Example publications on this field include:
How can organizations promote the environmentally friendly behavior of their employees in the workplace? This project, funded by the German Research Foundation (DFG) and others, addresses this question by specifically investigating the potential of information systems (IS) to increase the motivation of environmentally friendly behavior in the workplace. The project examines the numerous interactions between competing institutional logics, psychological dynamics, and motivational affordances from a socio-technical perspective. As such, the project makes theoretical contributions in the areas of business informatics and organizational behavior. Exemplary publications include:
New web-based platforms such as MTurk, Clickworker, Freelancer, and Upwork are increasingly providing work opportunities. From small writing and translation services, to logo and graphic design, to complex IT projects, these platforms are increasingly shaping the everyday working lives of millions of people worldwide. But what does this mean for contractors and how is work being changed overall as a result? The associated research projects investigate the effects and framework conditions of platform work on the motivation and perception of contractors and the emerging trade-off relationship with conventional employment relationships. At the same time, virtually traded jobs are detached from fixed physical work locations and predefined groups of colleagues. In this context, platforms offer great potential for self-determined work, the creation of personal holding environments, and extensive integration of disadvantaged groups of employees who are given few opportunities in conventional organizations. The research provides new insights into motivation in virtual work, mutual development among crowdworkers, and more inclusive work organization. For practitioners, a better understanding of work on platforms is gained to facilitate targeted use and more efficient regulation. The goal is both to improve the work experience of contractors and at the same time to facilitate the use of this virtual and efficient work organization for organizations. Exemplary publications include:
In times of work intensification and the need for efficiency, satisfaction, willingness to change and conscious management practices such as mindfulness are increasingly coming into focus. We examine the relationships between employees, organizations, and management. Examining these connections provides valuable insights into how organizations design their structures and practices to promote employee well-being, productivity, and overall success.
Virtual worlds and the concept of metaverse open up new possibilities for research and practice. These technologies provide a unique environment to conduct social experiments and behavioral studies at low cost. At the Department of Management, People, and Information, we are interested in how communication and monitoring in virtual space affects trust and trustworthiness; what impact this has on reducing social distance and whether behaviors such as bubble formation, known from the physical world, can also be observed in virtual worlds. Exemplary publications are:
Picot, Arnold; Dietl, Helmut; Franck, Egon; Fiedler, Marina; Royer, Susanne (2020): Organisation - Theorie und Praxis aus ökonomischer Sicht, 8., aktualisierte und überarbeitete Auflage, Schäffer-Poeschel, Stuttgart, 2020.
Prior versions:
Picot, Arnold; Dietl, Helmut; Franck, Egon; Fiedler, Marina; Royer, Susanne (2015): Organisation - Theorie und Praxis aus ökonomischer Sicht, 7., aktualisierte Auflage, Schäffer-Poeschel, Stuttgart, 2015.
Picot, Arnold; Dietl, Helmut; Franck, Egon; Fiedler, Marina; Royer, Susanne (2012): Organisation - Theorie und Praxis aus ökonomischer Sicht, 6., völlig überarbeitete Auflage, Schäffer-Poeschel, Stuttgart, 2012.
Stoffels, D., Faltermaier, S., Strunk, K. S., & Fiedler, M. (2024). Guiding Computationally Intensive Theory Development with Explainable Artificial Intelligence: The Case of SHAP. Journal of Information Technology, 0(0). https://doi.org/10.1177/02683962241289597
Chandran, S., Vijayalakshmi, V., & Fiedler, M. (2024). How Passion for Work Shapes Work-Family Interactions: A Conceptual Framework Exploring the Roles of Psychological Capital and Self-Regulation Failure. Human Resource Development Review, 0(0). https://doi.org/10.1177/15344843241249219
Mayer, A.-S., Ihl, A., Grabl, S., Strunk, K., & Fiedler, M. (2024). A silver lining for the excluded: Exploring experiences that micro-task crowdsourcing affords workers with impaired work access. Information Systems Journal, 34(6), 1838-1870. https://doi.org/10.1111/isj.12511
Strunk, K. S., Faltermaier, S., Ihl, A., & Fiedler, M. (2022). Antecedents of frustration in crowd work and the moderating role of autonomy. Computers in Human Behavior, 128 https://doi.org/10.1016/j.chb.2021.107094
Ihl, A., Strunk, K., & Fiedler, M. (2022). Interpretations of mindfulness practices in organizations: A multi-level analysis of interpretations on an organizational, group, and individual level. Organization, 29(6), 1099-1132. https://doi.org/10.1177/1350508420968195
Zaglmann, D., Faltermaier, S., Grabl, S., & Fiedler, M. (2024). Collaborating with Generative Artificial Intelligence: Creative Problem-Solving in Groups. Academy of Management Proceedings. https://doi.org/10.5465/AMPROC.2024.13300abstract
Zaglmann, D., Faltermaier, S., Grabl, S., & Fiedler, M. (2024). Creative Problem-Solving Using Generative Artificial Intelligence in Group Projects. ECIS Proceedings. https://aisel.aisnet.org/ecis2024/track06_humanaicollab/track06_humanaicollab/11
Stoffels, D., Grabl, S., Fischer, T., & Fiedler, M. (2023). How Explainable AI Methods Support Data-Driven Decision Making. Wirtschaftsinformatik 2023 Proceedings, Paderborn. aisel.aisnet.org/wi2023/31
Fischer, T., Faltermaier, S., Stoffels, D., & Fiedler, M. Gaining Physiological Insight into Satisfaction with XAI Explanations: A Call for Research. Proceedings of the NeuroIS Retreat, Vienna, 2023.
Strich, F., Giermindl, L., Mayer, A.-S., & Fiedler, M. (2023). Advancing digital collaboration: Barriers to Enterprise Social Media adoption and how to overcome them. Proceedings of the Hawaii International Conference on System Sciences. Maui, Hawaii. 2023.
Faltermaier, S., Strunk, K., Obermeier, M., & Fiedler, M. (2023). Managing Organizational Cyber Security – The Distinct Role of Internalized Responsibility. Proceedings of the Hawaii International Conference on System Sciences. Maui, Hawaii, 2023.
Stoffels, D., Faltermaier, S., Strunk, K., & Fiedler, M. (2022). Opening the Black-Box of AI: Challenging Pattern Robustness and Improving Theorizing through Explainable AI Methods. Proceedings of the 42th International Conference on Information Systems (ICIS), Copenhagen, 2022. https://aisel.aisnet.org/icis2022/ai_business/ai_business/11
Mayer, A.-S., Strich, F., & Fiedler, M. (2022). Algorithmic Technologies as Threat to Who We Are: The Effect an IT Identity Threat has on Employees' Work Engagement. Proceedings of the 42th International Conference on Information Systems (ICIS), Copenhagen, 2022. https://aisel.aisnet.org/icis2022/is_futureofwork/is_futureofwork/2
Haimerl, A., Mayer, A.-S., & Fiedler, M. (2022). How Do AI Principles Contribute to Managing Organizational Identity? Proceedings of the 42th International Conference on Information Systems (ICIS), Copenhagen, 2022. https://aisel.aisnet.org/icis2022/ai_business/ai_business/10
Knott, M., Mayer, A.-S., Strich, F., & Fiedler, M. (2021). Increasing user engagement on blockchain applications through persuasive design. In: Proceedings of the Hawaii International Conference on System Sciences. Maui, Hawaii. 10.24251/HICSS.2022.736
Ixmeier, A.; Seidler, A.; Henkel, C.; Fiedler, M.; Kranz, J,; Strunk, K. (2023): The persuasive potential of digital nudging for eco-sustainable behaviour., in: Research Handbook on Information Systems and the Environment, Cooper, V.; Kranz, J; Mathew S.; Watson, R. (Hrsg), S.182-206.
Fiedler, Marina (2022): Wissenstheorie: Michael Polanyi und Künstliche Intelligenz (KI), in: 10 Minuten Soziologie: Digitalisierung, Band 6, hrsg. V. Katharina Block; Anne Deremetz, Anna Henkel, Malte Rehbein, transcript Verlag, Bielefeld, S. 17-29.
Editorships
Fiedler, M. (2024). KI in der Personalarbeit. Niederbayerische Wirtschaft (NiWi), 04/2024.
Naschberger, D. (2022). Auf den Spuren von New Work – Interview mit Marina Fiedler und Oliver Sowa. Starkes Land Bayern, 04/2022, 34.
Strunk, K., Ihl, A., Hasenauer, L., Fiedler, M. (2022). Organizational sustainability transformation through KPIs: A model for sustainability change. Accepted for presentation at the Annual meeting of the Academy of Management (AOM) 2022, Seattle, WA.
Kiener, S., Strunk, K., Schmidt, K., Fiedler, M. (2022). Sustainability and Digitalization: Behavioral Visibility explaining Organizational Change. Accepted for presentation at the Annual meeting of the Academy of Management (AOM) 2022, Seattle, WA.
Fiedler, M., Gänsler, U., Gebhardt, B., Neuburger, R., Riedmann de Trinidad, G., Schack, A., Schmid, Y., Skuin, A., Vahle, A., Welles, C. (2021). Kompetenzentwicklung für und in der digitalen Arbeitswelt. https://www.muenchner-kreis.de/download/MUENCHNER-KREIS-Kompetenzpapier.pdf.
Vortrag und Panel auf dem Bayerischen Digitalgipfel CODE BAVARIA am 19.11.2020: Bayerischer Digitalgipfel 2020 | Staatsministerium für Digitales (bayern.de)
Changemanagement: https://www.ferchau.com/de/de/kunden/kundenmagazin/2021-01/01-04-2021-alles-auf-den-pruefstand-4973