Influence of data-driven supply chain quality management on organizational performance : evidences from retail industry
Purpose: The objective of the study is to test a conceptual model based on the interrelation between data-driven supply chain quality management practices (DDSCQMP) and the performance of organized retailing firms in India. Design/methodology/approach: Based on a comprehensive review of literature, the dimensions of DDSCQMP concerning the Indian organized retail sector have been extracted. Considering the research objectives, the research data has been collected using a structured questionnaire from Indian retailers. Overall 133 questionnaires were responded successfully from retailers. The model was tested using structured equation modeling (SEM) through PLS 3.0. Findings: The research findings confirm hypotheses and reveal the statistically significant relationship between DDSCQMP and retailers' performance at an aggregate level. However, the results of the individual-level analysis of DDSCQMP appear to vary from practice to practice. Among various DDSCQMP, “customer focus” with the highest beta (ß) value was found to have the greatest impact on performance followed by “employee relations”. Originality/value: The study provides empirical justification for a structural model that identifies a positive and significant relationship between DDSCQMP and organizational performance within the context of organized retail sector of India.
Year of publication: |
2020
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Authors: | Kumar, Anil ; Singh, Rohit Kumar ; Modgil, Sachin |
Published in: |
The TQM Journal. - Emerald, ISSN 1754-2731, ZDB-ID 2420151-0. - 2020 (12.10.)
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Publisher: |
Emerald |
Saved in:
Online Resource
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