541: Impact of AI on the Employee: Preparing Organizations for the Future of Technology (15527)

Organizer(s)

• OS

  Oyinkansola Sodiya

  U. of Texas At Arlington

Participant(s)

• SK

  Sewon Kim

  State U. of New York Empire State College, United States
• DW

  David Walker

  U. of British Columbia, Canada

Presenter(s)

• GV

  Gabrielle Voiseux

  Sauder School of Business, U. of British Columbia, Canada
• OS

  Oyinkansola Sodiya

  U. of Texas At Arlington

Participant(s)

• GB

  George Benson

  U. of Texas At Arlington, United States

Presenter(s)

• JC

  Jelena Cerar

  WU Vienna, Austria

Participant(s)

• CF

  Chiara Fabrizi

  WU Vienna
• PN

  Phillip C. Nell

  WU Vienna U. of Economics and Business, Austria

Presenter(s)

• DC

  Dan Chen

  Texas Woman's U., United States
• TE

  Toby Egan

  U. of Maryland, United States

As research on AI – much like AI itself – is in its infancy, it is imperative that scholars take up intentional research investigating the impact, presence, and attitudes toward AI at work. This presenter symposium meets this goal head-on and delves into the AOM 2024 theme: Innovating for the Future by investigating factors that managers and leaders should consider in the adoption of AI.

Presentations:

• 08:00 – 09:30 CT (GMT-5/UTC-5)

  541: The Effect of AI-Based Monitoring on Service Work Standardization and Employee Well-being (15527)
  

  Author: Gabrielle Voiseux – Sauder School of Business, U. of British Columbia

  Author: David Douglas Walker – U. of British Columbia
• 08:00 – 09:30 CT (GMT-5/UTC-5)

  541: Artificial Intelligence Adoption in the Workplace: An Exploration of Job Augmentation Receptiveness (15527)
  

  Author: Oyinkansola Sodiya – U. of Texas At Arlington

  Author: George Benson – U. of Texas At Arlington
• 08:00 – 09:30 CT (GMT-5/UTC-5)

  541: Culture and AI reliance in AI-augmented decision-making (15527)
  

  Author: Jelena Cerar – WU Vienna

  Author: Chiara Fabrizi – WU Vienna

  Author: Phillip C. Nell – WU Vienna U. of Economics and Business
• 08:00 – 09:30 CT (GMT-5/UTC-5)

  541: How Algorithm-Based Decision Aids Influence Decision-Making In Application Screening (15527)
  

  Author: Dan Chen – Texas Woman's U.

  Author: George Benson – U. of Texas At Arlington
• 08:00 – 09:30 CT (GMT-5/UTC-5)

  541: Managing the AI Revolution Impact: Key Stakeholder Themes and Effective Management Strategies (15527)
  

  Author: Toby Marshall Egan – U. of Maryland

  Author: Sewon Kim – State U. of New York Empire State College