Computational Modeling for Industrial-Organizational Psychologists

This collection provides an introduction to computational modeling for industrial-organizational psychologists, with contributions by global experts. It covers key modeling achievements in domains such as decision-making, diversity and inclusion, learning and training, leadership, and teams. It also includes how-to-chapters on agent-based modeling and system dynamics modeling and advice on evaluating these models. The authors highlight the values of computational modeling, such as offering a more transparent and precise way to represent theories and allowing for predictions. The book is an ideal resource for anyone interested in computational modeling, from scholarly consumers to model creators.

Format: Paperback / softback
Length: 334 pages
Publication date: 02 November 2023
Publisher: Taylor & Francis Ltd

This comprehensive collection serves as a primer on the process and potential of computational modeling for industrial-organizational psychologists. Drawing upon the expertise of esteemed global experts in the field, the book aims to enhance readers' understanding and appreciation of computational modeling through chapters that focus on key achievements in domains relevant to industrial-organizational psychology, such as decision-making in organizations, diversity and inclusion, learning and training, leadership, and teams.

To further advance the use of computational modeling, the book includes detailed how-to chapters on two widely employed modeling approaches: agent-based modeling and system dynamics modeling. It also provides guidance on evaluating these models qualitatively and quantitatively, as well as offering advice on reading, reviewing, and publishing papers that incorporate computational models. The authors offer an extensive exploration of the myriad values that computational modeling can bring to the field, emphasizing how they offer a more transparent and precise way to represent theories and can be simulated to test the internal consistency of a theory and enable predictions. This is accompanied by an overview of the history of computational modeling as it relates to industrial-organizational psychology. Throughout, the authors reflect on the journey of computational modeling, looking back to its origins while envisioning its future in the field.

Each contribution in this volume showcases the value and opportunities that computational modeling can offer individual researchers, research teams, and the broader fields of industrial-organizational psychology and management. This book serves as an invaluable resource for anyone interested in computational modeling, ranging from scholarly consumers to computational model creators.

Chapter 1 of this book is available for free download as a PDF.

Dimension: 229 x 152 (mm)
ISBN-13: 9781032483856