Call for Papers, Issue 1/2021
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Number of citations to item: 6
- Luis Lämmermann, Peter Hofmann, Nils Urbach (2024): Managing artificial intelligence applications in healthcare: Promoting information processing among stakeholders, In: International Journal of Information Management, doi:10.1016/j.ijinfomgt.2023.102728
- Verma Prikshat, Mohammad Islam, Parth Patel, Ashish Malik, Pawan Budhwar, Suraksha Gupta (2023): AI-Augmented HRM: Literature review and a proposed multilevel framework for future research, In: Technological Forecasting and Social Change, doi:10.1016/j.techfore.2023.122645
- Benedikt Berger, Martin Adam, Alexander Rühr, Alexander Benlian (2020): Watch Me Improve—Algorithm Aversion and Demonstrating the Ability to Learn, In: Business & Information Systems Engineering 1(63), doi:10.1007/s12599-020-00678-5
- Dominik Protschky, Luis Lämmermann, Peter Hofmann, Nils Urbach (2025): What Gets Measured Gets Improved: Monitoring Machine Learning Applications in Their Production Environments, In: IEEE Access, doi:10.1109/access.2025.3534628
- Pawan Budhwar, Ashish Malik, M. T. Thedushika De Silva, Praveena Thevisuthan (2022): Artificial intelligence – challenges and opportunities for international HRM: a review and research agenda, In: The International Journal of Human Resource Management 6(33), doi:10.1080/09585192.2022.2035161
- Tobias Bock, Dietrich von der Oelsnitz (2025): Leadership-competences in the era of artificial intelligence – a structured review, In: Strategy & Leadership 3(53), doi:10.1108/sl-09-2024-0100
