Hatim A. Rahman is an Assistant Professor of Management and Organizations at the Kellogg School of Management, Northwestern University. His research investigates how artificial intelligence, undergirded by algorithms, is impacting the nature of work and employment relationships in organizations and labor markets. His current research uses field data collected through participant observation, interviews, and archival sources to study how sophisticated algorithms are being used by digital platform organizations in ways that disrupt how people work and are evaluated.

In a new project, he examines how to empower more adults without college degrees to obtain higher-paying STEM jobs created by AI and new technologies. In particular, in light of the way AI and new technology is changing the way we work, he is interested in understanding the situated social, behavioral, and organizational factors influencing the reskilling process for adults without a college degree.

His research primarily uses qualitative field methods and also incorporates computational social science techniques, field experiments, and surveys.

Professor Rahman's research has been published in Administrative Science Quarterly, Academy of Management Journal, Organization Science, and Academy of Management Discoveries. This research has received several awards, including from the National Science Foundation (CAREER Award), INFORMS, Academy of Management, Psychology of Technology Institute, Industry Studies Association, and ICIS. His research and teaching have also received coverage from a variety of news sources including The Washington Post, Fortune, Forbes, Bloomberg, Business Insider, Wired, Slate, CBS: Chicago, Kellogg Insights, Stanford News, The Hill, Work in Progress, and Organizational Musings.

Prior to joining Kellogg, Professor Rahman received his PhD and Masters in Management Science and Engineering from Stanford University and his B.S. in Business Administration from the University of Illinois at Urbana-Champaign.

Technology’s role in organizations, digital platforms, employment relationships, and labor markets, especially the impact of algorithms and artificial intelligence. Sociology of work and occupations. Algorithmic management and evaluations.

• PhD, 2019, Management Science & Engineering, Stanford University
• M.S., 2014, Organizations, Technology, Entrepreneurship, Stanford University
• B.A., 2009, Business Process Management, with Minor in Technology and Management, University of Illinois-Urbana Champaign

• National Science Foundation CAREER Award: Bridging the STEM Skills and Employment Gap for the Future of Work
• Academy of Management Best Published Paper Award (CTO Division)
• Academy of Management Best Paper Award (OCIS Division)
• Industry Studies Association Giarratani Rising Star Award Winner
• Psychology of Technology Dissertation Award Winner
• Academy of Management Best Student Paper Runner Up (OCIS Division)
• International Conference on Information Systems (ICIS) Best Paper Finalist
• INFORMS Dissertation Competition Finalist
• Academy of Management Best Student Paper Finalist (OCIS Division)
• Stanford Humanities and Science Fellowship
• Stanford Management Science and Engineering Fellowship
• Dean’s Scroll Award (Annual award presented by the Deans of the College of Business to ten graduating seniors at the University of Illinois-Urbana, Champaign)

• Editorial Board, Administrative Science Quarterly, 2023
• Ad-hoc Reviewer, Organization Science, 2019
• Ad-hoc Reviewer, Academy of Management Journal, 2019
• Ad-hoc Reviewer, American Sociological Review, 2019

Aritficial Intelligence and the Future of Work

Artificial Intelligence and the Future of Work (MORS-944-0)
Artificial Intelligence (AI) has or is predicted to disrupt almost every industry and sector. Yet, many managers and business leaders lack knowledge on how they can realistically prepare for and integrate AI into their organizations and strategic outlook. In this course, we begin by understanding what exactly AI is, how it differs from other technologies, and what challenges and opportunities AI has for organizations. Through a mix of research articles, innovative hands-on exercises with end-user AI platforms, case studies, and leading industry speakers, this course brings into sharp focus the role AI technologies have today in organizations and how they can be practically harnessed. Topics covered include how AI impacts organizational design, teams, hiring, decision making, creativity and other topics related to the future of work. The course does not assume any particular technical background related to coding or statistics. We will focus on the organizational and managerial implications of AI and how it can be applied in the workplace, rather than on technical dimensions. At the end of the class, you will have a more complete understanding of the limitations and opportunities AI has, broadly, and specifically on organizations and work. Because the aim of the course is to build understanding related to the relationship between AI, organizations, and work, you will spend much of your time preparing for and engaging in class discussion. Our discussions will be based on the assigned reading and discussion questions noted in the syllabus. So, class participation is essential in order for you to get the maximum benefits from the course.

MBAi Organizational Design and Ethics (MBAI-930-0)


Leadership in Organizations (BUS_INST-303-0)
Social science tools for solving organizational problems and influencing individuals, groups, and organizations. Competitive decision making, reward system design, team building, strategic negotiation, political dynamics, corporate culture, and strategic organizational design. Prerequisites: ECON 201-0 and ECON 202-0.