Quality Uncertainty and Perception [recurso electrónico] : Information Asymmetry and Management of Quality Uncertainty and Quality Perception / by Lalit Wankhade, Balaji Dabade.

Por: Wankhade, Lalit [author.]Colaborador(es): Dabade, Balaji [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Contributions to Management ScienceEditor: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2010Descripción: XIV, 115p. 62 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783790821956Tema(s): Economics | Engineering economy | System safety | Business planning | Economics/Management Science | Organization/Planning | Innovation/Technology Management | Production/Logistics/Supply Chain Management | Engineering Economics, Organization, Logistics, Marketing | Quality Control, Reliability, Safety and RiskFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 658.1 Clasificación LoC:HD28-70Recursos en línea: Libro electrónicoTexto En: Springer eBooksResumen: The 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.
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Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos HD28 -70 (Browse shelf(Abre debajo)) 1 No para préstamo 377033-2001

The 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.

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