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In the new age of the digital world, human skills are in great demand. What are these skills? How do humans interact with digitization, automation, big data, artificial intelligence and other new frontiers of technology? How do we develop these skills required in this new age? How do faculty change the way we teach to prepare our students? The Eastern Academy of Management community will get together to explore these and other management issues in research, teaching and learning.
THEME RELATED RESEARCH QUESTIONS
(from Track Chairs and Members)
Strategy, International Management
Entrepreneurship, Innovation, Information Technology
Human Resource Management (HRM)
Ethics, Corporate Responsibility, Sustainability, Leadership
Management Education & Development
Baepler, Paul and Murdoch, Cynthia James (2010) "Academic Analytics and Data Mining in Higher Education," International Journal for the Scholarship of Teaching and Learning: Vol. 4: No. 2, Article 17. https://doi.org/10.20429/ijsotl.2010.040217
Bondarouk, T., & Brewster, C. (2016). Conceptualising the future of HRM and technology research. The International Journal of Human Resource Management, 27(21), 2652-2671. doi:10.1080/09585192.2016.1232296Digital Transformation: What Is New If Anything? Academy of Management Discoveries (2018) 4:3, 378-387. Guest Editors (in alphabetical order): Gianvito Lanzolla (Cass Business School, London), Annika Lorenz (U. of Utrecht, the Netherlands), Ella Miron-Spektor (Technion, Israel and Cass Business School, London), Melissa Schilling (NYU Stern School of Business, USA), Giulia Solinas (Ludwig-Maximilian Universität, DE), Christopher Tucci (EPFL, Switzerland). https://doi.org/10.5465/amd.2018.0103
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... Williams, M. D. (2019). Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Duggan, J., Sherman, U., Carbery, R., & Mcdonnell, A. (2019). Algorithmic management and app‐work in the gig economy: A research agenda for employment relations and HRM. Human Resource Management Journal, 30(1), 114-132. doi:10.1111/1748-8583.12258
Elsbach, K. D., & Stigliani, I. (2019). New information technology and implicit bias. The Academy of Management Perspectives, 33(2), 185. https://doi.org/10.5465/amp.2017.0079
Felten, E., Raj, M., & Seamans, R. C., (2019). The Effect of Artificial Intelligence on Human Labor: An Ability-Based Approach, Academy of Management Proceedings. https://doi.org/10.5465/AMBPP.2019.140
Glikson, E., & Woolley, A.W. (2020). Human Trust in Artificial Intelligence: Review of Empirical Research. Academy of Management Annals. https://doi.org/10.5465/annals.2018.0057
Karunakaran, A. (2019). Front-Line Professionals in the Wake of Digital Scrutiny: The Paradox of Public Accountability. Academy of Management Proceedings. https://doi.org/10.5465/AMBPP.2019.225
Khoreva, V., Vaiman, V., Bondarouk, T., & Salojärvi, S. (2019). Exploring the Influence of Digitalization on Global Talent Management. Academy of Management Proceedings, Volume 2019, Issue 118. https://doi.org/10.5465/AMBPP.2019.18
Klotz, F. (2019). The perils of applying AI prediction to complex decisions. MIT Sloan Management Review, 60(4), 1-4.
Raisch, S., & Krakowski, S. (2020). Artificial Intelligence and Management: The Automation-Augmentation Paradox. Academy of Management Review. doi: 10.5465/2018.0072
Tidhar R., & Eisenhardt, K. (2019). Get Rich or Die Trying: Unpacking Revenue Model Choice Using Machine Learning and Multiple Cases. Academy of Management Proceedings. https://doi.org/10.5465/AMBPP.2019.216
Vista, A. (2020). Data-Driven Identification of Skills for the Future: 21st-Century Skills for the 21st-Century Workforce. SAGE Open, 10(2), 215824402091590. doi:10.1177/2158244020915904von Krogh, G. (2018) Artificial Intelligence in Organizations: New Opportunities for Phenomenon-Based Theorizing, Academy of Management Discoveries,4:4, 404-409. https://doi.org/10.5465/amd.2018.0084
Special Issues of Academic Journals
Academy of Management Conference Resources
Krakowski, S. M., Haftor, D., Luger, J., Pashkevich, N., & Raisch, S. (2019, August). Humans and Algorithms in Organizational Decision Making: Evidence from a Field Experiment. Retrieved from https://journals.aom.org/doi/abs/10.5465/AMBPP.2019.16633abstract
Big Data and managing in the Digital Economy. (2018) AOM Specialized Conference, Guildford, United Kingdom. https://www.eiseverywhere.com/ehome/aombigdata/program/