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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.


(from Track Chairs and Members)

Strategy, International Management

  • How are firms using digital technology in strategic decision making?
  • What is the impact of artificial Intelligence (AI) on organization structure?
  • What are the effects of new digital technologies on different industries? Different countries/world regions?

Entrepreneurship, Innovation, Information Technology

  • How do digital technologies affect barriers of entry?
  • When do digital technologies benefit incumbents versus start-ups?
  • How can women-, minority-, and family-owned business use digital technology to create a competitive advantage?
  • How do digital technologies enable start-ups and small firms to access new financing sources?
  • How can companies use big data for innovation?
  • How can companies use big data in their innovation processes? Does big data provide an unfair advantage to incumbent firms?

Human Resource Management (HRM)

  • Will AI create substitution or complementarities with humans?
  • How do new digitization technologies (including AI) impact  HRM functions? Will the the fundamentals of HRM practices be impacted?
  • The impact of digitalization and AI on talent management

Organizational Behavior

  • How do digitization, automation, big data, artificial intelligence and other new frontiers of technology impact organizational learning?
  • How do these technology change organizational communication?

Ethics, Corporate Responsibility, Sustainability, Leadership 

  • What are the potential consequences of AI for management?" AI potentially acts against humans, dividing between humans and technology

Management Education & Development 

  • What new skills are needed in the digital age and how do we teach them?
  • What is the role of Management Education for current workers/students who fear participating in the digital world?  
  • What types of education/training programs are needed to move the reluctant worker/student into the digital age?
  • How can instructors measure student outcomes?  Can we use the revised Bloom taxonomy?
  • How do we measure organizational learning in the digital world?  Is it the sum of the individual parts or is the cultural synergy that directly improves organizational performance?
  • In terms of readiness for training, do different generations of workers/students (e.g., Boomers to Digital Natives) require different approaches to training?
  • How can faculty members prepare students to communicate more efficiently in the digital world?
  • What are the best practices for teaching and learning in the age of innovation and technology in the classroom?
  • How can faculty members embrace new forms of technology in teaching and learning while helping students cope with communication overload?
  • How can organizations better equip and support employees in dealing with communication overload? 

Academy of Management August 2019 Conference Resources

Machines vs Humans: How can we adopt Organizations to AI?  session

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


Latest Academic papers

Big Data and managing in the Digital Economy. (2018)AOM Specialized Conference, Guildford, United Kingdom. https://www.eiseverywhere.com/ehome/aombigdata/program/

Digital 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 Universit√§t, 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

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., (2-019) The Effect of Artificial Intelligence on Human Labor: An Ability-Based Approach, Academy of Management Proceedings. https://doi.org/10.5465/AMBPP.2019.140

Karunakaran, A. (2019). Front-Line Professionals in the Wake of Digital Scrutiny: The Paradox of Public Accountability. Academy of Management Proceedingshttps://doi.org/10.5465/AMBPP.2019.225

Khoreva, V., Vaiman, V., Bondarouk, T., & Saloj√§rvi, 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 

von 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                 

Business Journal articles, videos

Different Strokes for Different Folks: Complementarities between Human Capital and Machine Learning

Machine Intelligence vs. Human Judgement in New Venture Finance

The Rise of Analytics in HR

The Grey Area: Ethical Dilemmas in HR Analytics

MIT Initiative on Digital Economy: How Platforms Change Structure and Strategy Marshall Van Alstyne

Digital Disruption - A Look at Industries and their Futures

Regulation of Artificial Intelligence  

How Artificial Intelligence Would Redefine Management

Four Ways Jobs Will Respond to Automation

Can artificial intelligence help society as much as it helps business?    

Driving salary transparency with intelligent tools



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