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: Hardback
Length: 334 pages
Publication date: 02 November 2023
Publisher: Taylor & Francis Ltd

This comprehensive collection serves as an essential guide to the realm 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 a series of 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 utilization of computational modeling, the book includes detailed how-to chapters on two widely employed modeling approaches: agent-based modeling and system dynamics modeling. Additionally, it offers guidance on evaluating these models qualitatively and quantitatively, as well as tips on reading, reviewing, and publishing papers that incorporate computational models. The authors provide an extensive exploration of the numerous values that computational modeling can bring to the field, emphasizing how they offer a 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 historical development of computational modeling in relation to industrial-organizational psychology.

Throughout the book, the authors reflect on the journey of computational modeling, looking back to its origins while envisioning its future in the field of I-O psychology. Each contribution showcases the immense value and potential that computational modeling can offer individual researchers, research teams, and the broader domains of I-O psychology and management. This volume serves as an invaluable resource for anyone with an interest in computational modeling, ranging from scholarly consumers to aspiring computational model creators.

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

Weight: 453g
Dimension: 229 x 152 (mm)
ISBN-13: 9781032483757