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Influence of data-driven supply chain quality management on organizational performance: evidences from retail industry

Anil Kumar (Maharana Pratap College of Management Bhopal, Bhopal, India)
Rohit Kumar Singh (International Management Institute–Kolkata, Kolkata, India)
Sachin Modgil (National Institute of Industrial Engineering (NITIE), Mumbai, India)

The TQM Journal

ISSN: 1754-2731

Article publication date: 12 October 2020

Issue publication date: 16 January 2023

792

Abstract

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.

Keywords

Citation

Kumar, A., Singh, R.K. and Modgil, S. (2023), "Influence of data-driven supply chain quality management on organizational performance: evidences from retail industry", The TQM Journal, Vol. 35 No. 1, pp. 24-50. https://doi.org/10.1108/TQM-06-2020-0146

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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