AOM- CARMA's April Live Online Webcast Lectures and Ask the Experts Panel on Friday, April 25
Since 1997, CARMA has been a collective effort-built by instructors, presenters, staff, and participants. We believe in the power of strong research methods, shared learning, and collective action. In challenging times, we reaffirm our commitment to supporting the management research methods community. CARMA will continue increasing content, lowering fees, and expanding our cooperative efforts- because 'It's What We Do'. (Click to read the full statement.)
We are pleased to offer live online access to our Webcast Lectures free of charge to AOM Student and Academic Members as part of the AOM-CARMA Affiliate Program. We encourage you to mark your calendar for our next Webcast Lecture Series and Research Methods Faculty Network Session on Friday, April 25 as we cover:
· Webcast Lecture: Topic Modeling in Management Research
Dr. Timothy Hannigan, University of Ottawa
Friday, April 25 | 9:00 AM EDT (New York) / 1:00 PM GMT (London)
Meet the Presenter: Timothy Hannigan is Associate Professor of Strategy and Organization and the Father Edgar Thivierge Chair in Canadian Business at the University of Ottawa's Telfer School of Management. His research examines the early moments of markets, fields, and ecosystems as a relational lens for studying emergence in both cultural and material terms. He has applied this lens to nascent product markets, entrepreneurial possibility formation, and the genesis of social evaluations. More specifically, he examines the interface of organizational imaginaries and how they materialize. His most recent work focuses on prefigurative organizing and governance with blockchain fields, as well as studying epistemic risks and using generative AI with integrity in organizations. In the Thivierge Chair in Canadian Business, he is building a research program around an interpretive view of technology and organizing, helping leaders to chart plausible – and desirable – futures that have the potential to materialize beyond projection and hype. This is grounded in the study of social processes, institutions, and technological affordances.
His research has been published in the top journals in the field including Academy of Management Annals, Academy of Management Review, Strategic Management Journal, Organization Studies, Research Policy, Organization Theory, and Business Horizons. He serves on the editorial review boards for Strategic Entrepreneurship Journal and Organization Studies.
· Ask the Experts: AI & ML
Friday, April 25 | 10:30 AM EDT (New York) / 2:30 PM GMT (London)
Meet the Panelists:
o Dr. Louis Tay, Purdue University
Louis Tay is the William C. Byham Associate Professor of Industrial-Organizational Psychology at Purdue University. His substantive research interests include well-being (subjective well-being, psychological well-being), character strengths, and vocational interests. His methodological research interests include measurement, item response theory, latent class modeling, multilevel analysis, and data science. He is a co-editor of the books Big Data in Psychological Research (APA Books) and Handbook of Well-Being (DEF Publishers). He has contributed to the United Nations' research reports on well-being and serves in consulting roles to top tech companies and Fortune 500 organizations. Consultations have involved topics such as better understanding customer and employee well-being, improving recruitment and selection processes, and understanding biases in measurement, machine learning, and AI. He is the founder of the tech-startup ExpiWell (www.expiwell.com) that advances the science and capture of daily life experiences through experience sampling methodology.
As an I-O psychologist embedded within the broader field of psychology, my goal is to programmatically pursue cross-disciplinary lines of inquiry in methodology (i.e., measurement, continuum specification, latent class modeling, Big Data / data science) and well-being (i.e., societal well-being, wellness programs, work – leisure [e.g., arts/humanities activities] interface). I have co-edited the following books: Big Data in Psychological Research, Handbook of Well-Being, Handbook of Positive Psychology Assessment, The Oxford Handbook of the Positive Humanities, and Technology and Measurement around the Globe. My greatest joy comes from mentoring students and post-docs.
o Dr. Richard Landers, University of Minnesota
Dr. Richard Landers, Ph.D., is an Associate Professor of Psychology, and holds the John P. Campbell Distinguished Professorship of Industrial-Organizational Psychology at the University of Minnesota. His research concerns the use of innovative technologies in assessment, employee selection, adult learning, and research methods. Recent topics have included big data, game-based learning, game-based assessment, gamification, unproctored Internet-based testing, mobile devices, virtual reality, and online social media. His work has been published in Journal of Applied Psychology, Industrial and Organizational Psychology Perspectives, Computers in Human Behavior, Simulation & Gaming, Social Science Computer Review, and Psychological Methods, among others, and his research and writing have been featured in Forbes, Business Insider, Science News, Popular Science, Maclean's, and the Chronicle of Higher Education, among others. He is also author of a statistics textbook, A Step-by-Step Introduction to Statistics for Business, editor of Social Media in Employee Selection, and editor of the upcoming Cambridge Handbook of Technology and Employee Behavior. He currently serves as Associate Editor of Simulation & Gaming and the International Journal of Gaming and Computer-Mediated Simulations, and he is also part of the steering committee of the Coalition for Technology in Behavioral Science.
o Dr. Tianjun Sun, Rice University
Dr. Tianjun Sun's research primarily focuses on personnel selection, individual differences, psychometrics, and using advanced technology and quantitative methods to enhance staffing decisions, improve candidate/employee experiences, and solve organizational problems.
Dr. Sun actively publishes in reputable, high-impact journal outlets, and her projects have been supported by the National Science Foundation (NSF), the National Institutes of Health (NIH), and the Society for Industrial and Organizational Psychology (SIOP) Foundation.
Dr. Sun has been recognized as a Rising Start by the Associate for Psychological Science (APS) and has received a series of awards from SIOP, the American Psychological Association (APA), and the Academy of Management (AOM).
On the applied side, Dr. Sun has broad experience working in consulting, testing, and tech industries, as well as in areas of people analytics, learning and testing, and talent assessment.
· Webcast Lecture: Publishing High-Impact Meta-Analyses: An Editor's Perspective
Dr. Rong Su, University of Iowa
Friday, April 25 | Noon EDT (New York) / 4:00 PM GMT (London)
Meet the Presenter: Dr. Rong Su is an Associate Professor of Management & Entrepreneurship and the Mahoney Fellow at the University of Iowa Tippie College of Business. Her research focuses on individual differences, person-environment fit, career success and career gaps, and quantitative research methods (in particular, meta-analysis, psychometric measurement, and structural equation modeling). Her publications have appeared in top-tier journals including the Journal of Applied Psychology, Personnel Psychology, Journal of Management, Psychological Bulletin, and Journal of Personality and Social Psychology. They have been cited over 7,000 times, placing her within top 2% most impactful scientists within her subfield every year since 2021. Her work has garnered over $1.9 million in grants to date from funding organizations such as the National Science Foundation (NSF) and has been featured by outlets such as Time and The New York Times. Beyond her own research, Dr. Su currently serves the field as an Associate Editor for Psychological Bulletin, a high-impact journal in the field of psychology for publishing systematic research syntheses and reviews (impact factor = 17.3), and an editorial board member for Journal of Applied Psychology and Psychological Science. She has served as a research consultant for a number of organizations, including the U.S. Department of Labor, the U.S. Army, and the Organization for Economic Co-operation and Development (OECD). She was recognized as a Fellow of the Society for Industrial and Organizational Psychology (SIOP) in 2024.
NOTE:
CARMA is experiencing delays re-establishing the direct access link since AOM updated their Member Portal. For your convenience, we are providing access to our upcoming April Live Online Events, the April AOM-CARMA Collection, and information on our upcoming June 2025 Live Online Short Courses via this link: carmattu.com/AOMAccess.
Dr. Larry Williams, CARMA Founder & Director
Founding Editor, Organizational Research Methods
AOM Fellow, AOM Distinguished Educator Award, RMD Distinguished Career Award
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Larry Williams
Professor
Texas Tech University
Lubbock TX
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