Decision Modes in Complex Task Environments
Norbert Steigenberger
Sold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since 14 August 2006
New - Soft cover
Condition: New
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Add to basketSold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since 14 August 2006
Condition: New
Quantity: 2 available
Add to basketNeuware - The aim of this book is to understand how decisions are made in complex task environments and how decision modes affect individual-level decision performance. The book presents insights obtained over the course of a three-year research project, empirically based on studies in maritime search and rescue (MSAR). The insights are aligned with the extant decision-making literature and substantially extended to the understanding of decision-making in complex task environments. Thus, the book addresses the important field of operational decision-making in complex task environments.
Seller Inventory # 9781138748460
Despite intense research on decision-making in action, we still know little about when decision-makers rely on deliberate vs. intuitive decision-making in decision situations under complexity and uncertainty. Building on default-interventionist dual-processing theory, this book studies decision-making modes (deliberate vs. intuitive) in complex task environments contingent on perceived complexity, experience, and decision style preference. We find that relatively inexperienced decision-makers respond to increases in subjective complexity with an increase in deliberation and tend to follow their decision style preference. Experienced decision-makers are less guided by their decision preference and respond to increases in subjective complexity only minimally. This book contributes to a developing stream of research linking decision-making with intra-personal and environmental properties and fosters our understanding of the conditions under which decision-makers rely on intuitive vs. deliberate decision modes. In doing so, we go one step further towards a comprehensive theory of decision-making in action.
Dr. Norbert Steigenberger is an Assistant Professor at Jönköping International Business School (Sweden). Previously, he held researcher and guest researcher positions at the University of Cologne (Germany) and Aalto University Helsinki (Finland). He studied Business Economics at the Technical University Freiberg (Germany) and the Universitetet i Tromsø (Norway) and received his doctorate from Chemnitz Technical University in 2011. His research primarily concerns different topics in management and organization, such as decision-making in organizations, mergers & acquisitions and novel forms of digital business.
Thomas Lübcke is Head of Research and Development at the German Maritime Search and Rescue Service (DGzRS). He studied Sociology and Education at the University of Rostock (M.A.). His current research addresses organizational issues in complex maritime search and rescue operations, transdisciplinary research on human factors in safety critical domains as well as in the simulation and training of inter-organizational working contexts. As an active member, he is also involved in the platform "People in Complex Work Environments".
Dr. Heather M. Fiala is a professional staff member of the Center for Controlling & Management at the Institute of Management Accounting and Control of the WHU – Otto Beisheim School of Management in Vallendar, Germany. She studied Psychology at Beloit College in Beloit, Wisconsin, USA (B.A.) and the University of Erfurt (M.Sc.). She completed her PhD in Psychology in 2013 at the University of Erfurt. From 2012 to 2015, she worked as a researcher at the Seminar for Business Administration, Corporate Development, and Organization at the University of Cologne, investigating decision-making in complex task environments.
Alina Riebschläger studied Business Administration at the University of Cologne. From 2013 to 2015, she was a graduate assistant at the Seminar for Business Administration, Corporate Development, and Organization at the University of Cologne supporting a research project concerning decision-making in complex task environments.
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