Handbook of Metrics for Research in Operations Management 1E: Multi-item Measurement Scales and Obje
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Yayıncı Sage ( 12 / 2007 ) ISBN 9781412954518 | Ciltli | Büyük boy | İngilizce | 776 Sayfa | Türler Ekonomi
The Handbook of Metrics for Research in Operations Management is a compilation of multi-item scales and objective items that can be used to construct surveys and questionnaires in Operations Management. Such surveys can be sent to manufacturing or service managers to collect empirical data on their operations for research purposes. The metrics can be used to measure constructs such as Total Quality Management, Just-In-Time manufacturing, Operations Strategy, Technology Management, Supply Chain Management, performance of operations and related concepts. Each article is summarized in a standard format consisting of the following elements:Citation: The citation for the article being summarized.Scale Listing: A list of the questions (items) included in each of the scales tested in the article.Construct Description: A description of the meaning of the scales, the literature used and grounding of the constructs. A further description of the items can also be included.Measurement Description: How the measurement was done. Whether the scales were grouped into factors and what format was used (e.g. Likert) for the scaling of the questions.Development: What process was used to develop the scales including pre-testing, split sample approaches, exploratory factor analysis or other methods? Sample: What data were collected to demonstrate reliability and validity? Who received the surveys (e.g. managers, nurses, students)? What was the sample size and the response rate? What measures were taken to reach non-respondents and to test for possible response bias?Reliability and Validity: The measures used to test for reliability of the scale (e.g. Cronbach Alpha or split halves methods). The tests used for convergent and discriminant validity. Was unidimensionality demonstrated, if so how?Scores: The factor loadings and standard errors together with other scoring information obtained. Other Evidence: Any other evidence related to the measurement reliability and validity of the scale.References: Citations for the references used in the summary.