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Handbook of Metrics for Research in Operations Management
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Handbook of Metrics for Research in Operations Management
Multi-item Measurement Scales and Objective Items

October 2007 | 776 pages | SAGE Publications, Inc
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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.

Key Features

  • Employs a systematic summary of 1803 multi-item, measurement scales, and objective metrics: Derived from 230 published articles, comprehensive summaries for each scale are available in one source.
  • Cross-classifies measurement scales in two ways: Each scale is classified by categories that are based on OM research topics accepted by major OM journals and by first author names.
  • Provides a discussion of objective measures used in OM research: Illustrative items and examples from 5 questionnaires are given.
  • Increases the efficiency and potential rigor of the researcher's efforts: Discussion and selected bibliography on key issues for careful construction of new items encourage further development and refinement of psychometrically sound OM metrics.

Intended Audience

This Handbook is an essential, time-saving resource for virtually all operations, supply chain, and technology scholars and practitioners interested in empirical research. A vital addition to all academic libraries, it is intended to serve as a basic reference and guide for construction of surveys and other structured data collection on OM topics.

Periodic updates and further compilations from other journals are available at http://webpages.csom.umn.edu/oms/schroeder/scalebook/index.html.

Meet author Aleda Roth! http://business.clemson.edu/Managemt/faculty/l3_fac_AledaRoth.html

Meet author Roger Schroeder!http://www.csom.umn.edu/Page2075.aspxtype=faculty&eid=21047741

 
Preface
 
Chapter 1: Introduction
The Purpose of the Book

 
Coverage and Scope

 
Caveats and Cautions

 
Organization of the Book

 
Selected Bibliography of Methods for Scale Development

 
 
Chapter 2: Classification of Scales
 
Chapter 3: Objective Measures of Operations
Introduction

 
Industry Week Best Plants Study

 
Global Manufacturing Research Group Study

 
High Performance Manufacturing Study

 
Vision in Manufacturing Survey

 
Retail Banking Futures Study

 
Appendix 3-1 to 3-5: Survey Instruments/Selected Items

 
 
Chapter 4: List of Scale Summaries (alphabetic by first author)
Authors A-B

 
Authors C-D

 
Authors E-G

 
Authors H-J

 
Authors K-M

 
Authors N-R

 
Authors S-T

 
Authors V-Z

 
 
Appendices:
A1: Classification of Scales

 
A2: Index for Scale Names

 
A3: List of papers summarized

 
 
Index
Key features

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 disriminant 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.
The citation for the article being summarized.

Sample Materials & Chapters

Introduction

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