Management of Uncertainty: Theory and Application in the Design of Systems and Organizations (Decision Engineering) - Tapa dura

Acerca del autor

Gudela Grote has been full Professor of Work and Organizational Psychology at the ETH Zürich in the Department of Management, Technology, and Economics since 2000. Previously, she was Assistant Professor (since 1992) and Associate Professor (since 1997) at the ETH Zurich. She studied psychology at the University of Marburg and at the Technical University in Berlin. She received her doctorate at the Georgia Institute of Technology, Atlanta, in 1987. Since 1988 she has continued her research at the ETH Zurich.

The main objective of Gudela Grote's research is to provide psychologically-based concepts and methods for integrative job and organizational design, taking into consideration the changing technological, economic and societal demands and opportunities. A special interest are the increasing flexibility and virtuality of work and their consequences for the individual and organizational management of uncertainty. Application fields for Prof. Grote's research include teamwork and standardization in high-risk systems, management of the psychological contract, career development, effects of new technologies on work processes, and collaborative planning within an between organizations.

Prof. Grote is associate editor of the journal Safety Science and member of the editorial board of several other journals. She has published widely on topics in organizational behavior, human factors, Human Resource Management, and safety management. She has worked with companies such as the Swiss Railways, Swiss Re and various public organizations. Together with Prof. Bruno Staffelbach from the University of Zurich she publishes annually the Swiss Human Relations - Barometer.

De la contraportada

The handling of uncertainties stemming from internal processes and the environment is a core issue in organizational and system design. Management of Uncertainty examines the necessity of living with technical and organizational uncertainties, or even taking advantage of them without losing the stability created by reducing uncertainty. With overall uncertainty increasing as a result of faster innovation cycles, more dynamic environments, and growing interconnections in organizational networks, socio-technical systems have to continuously adjust the balance between stability and flexibility in order to secure successful performance.

Building on concepts from organization theory, control theory, decision theory, and work and organizational psychology, a decision process is proposed that supports systematic evaluation of the costs and benefits of reducing, maintaining, or increasing uncertainty in a particular context. Also, the individual and collective belief systems that influence cost-benefit perceptions are considered. Consequences for the design of automation, planning systems, organizational rulebooks, safety management systems and also human resource management are drawn.

Management of Uncertainty will be a useful tool for postgraduate researchers, as well as for operational and strategic decision-makers in organizations. It offers a number of concrete instruments for organizational and system design, which are further illustrated by a range of case studies.

The Decision Engineering series focuses on the foundations and applications of tools and techniques related to decision engineering, and identifies their relevance in engineering decisions. The series provides an aid to practising professionals and applied researchers in the development of tools for informed operational and business decision making, within industry, by utilising distributed organisational knowledge.