Screen LibraryQuality uncertainty and perception：information asymmetry and management of quality uncertainty and quality perception
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| Main Authors: | |
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| Corporate Authors: | |
| Group Author: | |
| Published: |
Physica-Verlag,
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| Publisher Address: | Berlin |
| Publication Dates: | c2010. |
| Literature type: | Book |
| Language: | English |
| Series: |
Contributions to management science |
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-7908-2195-6 |
| Carrier Form: | 1 online resource (xiv, 137 p.): |
| ISBN: |
9783790821956 (electronic bk.) 3790821950 (electronic bk.) |
| Index Number: | O213 |
| CLC: | O213.1 |
| Contents: |
Includes bibliographical references (p. 127-132) and index. Quality Uncertainty and Perception; Information Asymmetry and Management of Quality Uncertainty and Quality Perception; Preface; Intended Audience; Organization of the Book; Acknowledgement; Contents; Chapter 1: Introduction; Chapter 2: Quality Uncertainty Due to Information Asymmetry; Chapter 3: Perceived Quality Through Time; Chapter 4: Quality Uncertainty and Quality Perception; Chapter 5: Root Cause and Failure Analysis of Quality Uncertainty; Chapter 6: Dynamics of Quality Perception; Chapter 7: Future Directions of Quality Perception; References; About the Authors; Index. This book addresses the complex issue of quality uncertainty due to information asymmetry in the backdrop of information economics, total quality management and marketing science. Reliability Engineering, Seven Management Tools and System Dynamics are used to develop theories on quality uncertainty and perception. Quality perception is identified as a multidisciplinary measure of business performance. The tools are developed to minimize quality uncertainty or to maximize quality perception. A few worksheets are provided for applying these theories to improve business performance. |