Goran Kuljanin, Fellow

Goran is an Assistant Professor in the Department of Management and Entrepreneurship at DePaul University. He brings to the firm more than 17 years of research experience and expertise on understanding any organization’s most important resource: its people. His research focuses on developing and applying computational process theories and models to investigate how organizational members do their work as part of complex organizational systems and team sub-systems, explaining the emergence of various organizational and team phenomena, and implementing effective process interventions to improve organizational and team functioning. In brief, he researches how human processes produce what we experience in the workplace.

Goran Kuljanin


Goran has spent 17 years at several academic institutions including Michigan State University, University of Illinois at Chicago, and DePaul University. He has researched topics pertinent to human processes in the workplace, taught courses on business analytics, human resources management, and organizational behavior, and contributed to numerous committees related to the effective functioning of department and college academic units.

Goran’s career highlights include:

  • Research article on methodological approaches to the study of emergent organizational phenomena published in Organizational Research Methods. It won the 2015 William A. Owens Scholarly Achievement Award from the Society for Industrial and Organizational Psych
  • Research article on a process-oriented theory of knowledge emergence in teams received a very rare Monograph Distinction from the Journal of Applied Psychology
  • As a co-investigator, he has been awarded multiple research grants from the U.S. Army Research Institute for the Behavioral and Social Sciences

Goran earned his Ph.D. from Michigan State University in industrial and organizational psychology. He is a member of the Society for Industrial and Organizational Psychology (SIOP) and the Academy of Management. He has published his research in the Journal of Applied Psychology, Psychological Methods, and Organizational Research Methods, and his publication history can be viewed on Google Scholar.

In his consulting, he assists organizations by applying advanced analytical and modeling methods (e.g., machine learning, dynamical modeling, organizational network analysis, computational process modeling) on employee, team, unit, and organizational (process) data to develop adaptively effective human resources management, team, and leadership strategies to meet organizational objectives.

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