Description:
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.
Brief description: Xiaowen Huang is an assistant professor of supply chain and operations management at the Richard T. Farmer School of Business, Miami University, Ohio. She teaches in the areas of operations management, supply chain management, and operations strategy. Her research interest primarily revolves around the question of "how can companies achieve competitive advantage through effective technology management, especially in the supply chain context?" Her current research falls into two main research streams. The first stream includes empirical investigation of use of information and Internet technologies (especially online auction) in the manufacturing setting and in the retail e-Bay setting. Her second research stream involves theoretical understanding and testing effective product modularity and mass customization strategies. Her research appears in Journal of Operations Management and other academic journals. She received her PhD from the Operations and Management Science Department, University of Minnesota.