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S. Subba Rao

Researcher at University of Toledo

Publications -  15
Citations -  3793

S. Subba Rao is an academic researcher from University of Toledo. The author has contributed to research in topics: Quality management & Supply chain. The author has an hindex of 12, co-authored 14 publications receiving 3507 citations. Previous affiliations of S. Subba Rao include College of Business Administration.

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The impact of supply chain management practices on competitive advantage and organizational performance

TL;DR: In this paper, the authors conceptualized and developed five dimensions of SCM practice (strategic supplier partnership, customer relationship, level of information sharing, quality information sharing and postponement) and tested the relationships between SCM practices, competitive advantage, and organizational performance.
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Development and validation of a measurement instrument for studying supply chain management practices

TL;DR: In this paper, the authors conceptualized, developed, and validated six dimensions of SCM practices (strategic supplier partnership, customer relationship, information sharing, information quality, internal lean practices, and postponement).
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A Framework for International Quality Management Research: Development and Validation of a Measurement Instrument

TL;DR: In this paper, the authors presented a study aimed at conceptualizing and developing valid measurements for key dimensions of quality management in the international context, where the quality management framework is conceptualized in terms of 13 dimensions.
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Does ISO 9000 have an effect on quality management practices? An international empirical study

TL;DR: In this paper, the authors empirically explore the relationship between ISO 9000 and the level of quality management practices and quality results and find that ISO 9000 registered companies exhibit higher levels of quality leadership, information and analysis, strategic quality planning, human resource development, quality assurance, supplier relationships, customer orientation and quality result.
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The Q-Sort Method: Assessing Reliability And Construct Validity Of Questionnaire Items At A Pre-Testing Stage

TL;DR: The Q-sort method as discussed by the authors uses Cohen's Kappa and Moore and Benbasat's Hit Ratio to assess reliability and construct validity of questionnaire items at a pre-testing stage.