Recherche
Face au dynamisme actuel du milieu des affaires, la recherche d’un avantage concurrentiel devient de plus en plus ardue. Les entreprises, petites et grandes, ont besoin de nouveaux outils pour analyser de manière systématique l’écosystème industriel et le comportement des consommateurs, pour comprendre les opportunités et les défis amenés par le virage numérique et pour s’adapter rapidement au changement. La capacité de tirer parti des viviers de connaissances et d’intégrer les idées novatrices provenant d’autres pays et environnements est devenue essentielle pour réussir, alors que des entreprises mettent en place de nouvelles structures d’organisation, mécanismes de coordination et procédures de contrôle, et qu’elles concluent des partenariats avec des acteurs des secteurs public et privé.
L’Institut se penche sur ces questions essentielles en menant des projets de recherche qui s’inspirent des défis concrets que pose le contexte actuel. Il cherche à participer aux discussions avec les entreprises et les décideurs politiques. Ses chercheur-e-s sont mus par la volonté d’ouvrir de nouvelles perspectives et d’élaborer des méthodes rigoureuses, qui font progresser la recherche grâce à des travaux sérieux et stimulants. Ses activités de recherche portent sur le business analytics, le droit des affaires, les sciences de la décision, la gestion des ressources humaines, le management international, le marketing, la gestion des opérations, la stratégie et la durabilité.
Sélection de publications
Bocquet, R., Cotterlaz-Rannard, G., & Ferrary, M. 2024. How Do Prestigious Universities Remain at the Summit: A Bourdieusian View of their Business Models. British Journal of Management.
https://doi.org/10.1111/1467-8551.12819
Fischer, T., Dietz, J., & Antonakis, J. 2024. A fatal flaw: Positive leadership style research creates causal illusions. The Leadership Quarterly, 35(3), Article 101771.
https://doi.org/10.1016/j.leaqua.2023.101771
Jeong, J., Ghaddar, B., Zufferey, N., & Nathwani, J. 2024. Adaptive robust electric vehicle routing under energy consumption uncertainty. Transportation Research Part C Emerging Technologies, 160, Article 104529.
https://doi.org/10.1016/j.trc.2024.104529
Raisch, S. & Fomina, K. 2024. Combining Human and Artificial Intelligence: Hybrid Problem Solving in Organizations. Academy of Management Review.
https://doi.org/10.5465/amr.2021.0421
Schrempf-Stirling, J., & Van Buren, H. J. 2024. The Importance of Human Rights for Management and Organization Studies. British Journal of Management, 35(3), 1127–1140.
https://doi.org/10.1111/1467-8551.12799
Vives-Gabriel, J., Schrempf-Stirling, J., & Coraiola, D. M. 2024. Dealing with Organizational Legacies of Irresponsibility. Academy of Management Perspectives.
https://doi.org/10.5465/amp.2022.0126
Ziano, I., & Polman, E. 2024. Prototypes of Victims of Workplace Harassment. Personality and Social Psychology Bulletin.
https://doi.org/10.1177/01461672241235388
Fischer, T. 2023. Measuring behaviors counterfactually. The Leadership Quarterly, 34(6). Article 101750.
https://doi.org/10.1016/j.leaqua.2023.101750
Fischer, T., Hambrick D. C., Sajons G. B., & van Quaquebeke N. 2023. Leadership science beyond questionnaires. The Leadership Quarterly, 34(6), Article 101752.
https://doi.org/10.1016/j.leaqua.2023.101752
Fischer, T., & Sitkin, S. B. Leadership Styles: 2023. A comprehensive assessment and way forward. Academy of Management Annals, 17(1).
https://doi.org/10.5465/annals.2020.0340
Krakowski, S., Luger, J., & Raisch, S. 2023. Artificial intelligence and the changing sources of competitive advantage. Strategic Management Journal, 44(6), 1425–1452.
https://doi.org/10.1002/smj.3387
Kunisch, S., Denyer, D., Bartunek, J. M., Menz, M., & Cardinal, L. B. 2023. Review research as scientific inquiry. Organizational Research Methods, 26(1), 3–45.
https://doi.org/10.1177/10944281221127292
Langan, R., Krause, R., & Menz, M. 2023. Executive board chairs: Examining the performance consequences of a corporate governance hybrid. Journal of Management, 49(7), 2218–2253.
https://doi.org/10.1177/01492063221102394
Schrempf-Stirling, J., & Wettstein, F. 2023. The mutual reinforcement of hard and soft regulation. Academy of Management Perspectives, 37(1).
https://doi.org/10.5465/amp.2022.0029
Tatarinov, K., Ambos, T. C., & Chang, F. T. 2023. Scaling digital solutions for wicked problems: Ecosystem versatility. Journal of International Business Studies, 54(4), 631–656.
https://doi.org/10.1057/s41267-022-00526-6
Tippmann, E., Ambos, T. C., Del Giudice, M., Monaghan, S., & Ringove, D. 2023. Scale-ups and scaling in an international business context. Journal of World Business, 58(1), Article 101397.
https://doi.org/10.1016/j.jwb.2022.101397
Vié, M.-S., Zufferey, N., & Minner, S. 2023. A matheuristic for tactical locomotive and driver scheduling for the Swiss national railway company SBB Cargo AG. OR Spectrum, 45, 1113–1151.
https://doi.org/10.1007/s00291-023-00729-9
Wang, D., & Ziano, I. 2023. Give Me a Straight Answer: Response Ambiguity Diminishes Likability. Personality and Social Psychology Bulletin.
https://doi.org/10.1177/01461672231199161
Ziano, I., & Koc, Y. 2023. Prototypes of People With Depression. Psychological Science, 34(12), 1295–1308.
https://doi.org/10.1177/09567976231204035
Ziano, I., & Villanova, D. 2023. More useful to you: Believing that others find the same objects more useful. Journal of Experimental Social Psychology, 106, Article 104460.
https://doi.org/10.1016/j.jesp.2023.104460
Andrews, D. S., Fainshmidt, S., Ambos, T., & Haensel, K. 2022. The attention-based view and the multinational corporation: Review and research agenda. Journal of World Business, 57(2), Article 101302.
https://doi.org/10.1016/j.jwb.2021.101302
Krim, H., Zufferey, N., Potvin, J.-Y., Benmansour, R., & Duvivier, D. 2022. Tabu search for a parallel-machine scheduling problem with periodic maintenance, job rejection and weighted sum of completion times. Journal of Scheduling, 25, 89–105.
https://doi.org/10.1007/s10951-021-00711-9
Vié, M.-S., Zufferey, N., & Leus, R. 2022. Aircraft landing planning under uncertain conditions. Journal of Scheduling, 25, 203–228.
https://doi.org/10.1007/s10951-022-00730-0
Visnjic, I., Jovanovic, M., & Raisch, S. 2022. Managing the transition to a dual business model: Tradeoff, paradox, and routinized practices. Organization Science, 33(5), 1701–2083.
https://doi.org/10.1287/orsc.2021.1519
> Pour une liste complète, veuillez consulter notre page web Savoir & publications
THÈSES DE DOCTORAT RÉCENTES
Human-AI Collaboration in Organizations (Fomina, K. 2024)
The Role of Business in Building Peace and Democracy in Fragile and Conflict-Affected Countries (Croce, J.T. 2024)
A Business Model Approach of the Adaptation Process: Three Lessons from the Analysis of the Swiss Press Dynamics (Saltini, Y. 2023)
Better marketing research for a better world (Bernardic, U. 2022)
Altering societal institutions to tackle grand challenges: Three essays on change within organizations, through partnerships, and across ecosystems (Grabski, T. 2022)
Hybrid algorithms for designing production lines (Kassoul, K. 2022)
Nonprofit Business Models: A Bourdieusian Perspective (Cotterlaz-Rannard, G. 2021)
Organizing the Multinational Hybrid Organization: The Next Step in Organizing for Sustainable Value (Fuchs, S. H. 2021)
Managing, structuring and scaling innovation in international organizations (Tatarinov, K. 2021)
Multi-neighborhood local searches for industrial problems in production, transportation and distribution (Vie, M.-S. 2020)
Customers’ Experienced Product Quality: Conceptualization and Operationalization of a Multidimensional Measure of Product Quality (Das Guru, R. R. 2020)
Essays on Voluntary CEO Departure (Darouichi, A. 2020)
The Role of Stakeholder Sentiment in Strategic Decision-Making: a Behavioral Perspective (Nauhaus, S. 2020)
Artificial intelligence in organizations: strategy and decision making in the digital age (Krakowski, S. 2020)
Relevant consumer research: prediction, explanation and replication (Krefeld-Schwalb, A. 2020)
> Veuillez cliquer ici pour de plus amples informations sur le programme de doctorat en management