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

Supply chain management practices, retail outlets attributes and organisational performance: a case of organised food retailers in India

Purpose

The aim of this study is to examine the impact of supply chain management (SCM) practices and retail outlet attributes on the performance of organised food retailers in India during COVID-19 pandemic.

Design/methodology/approach

Authors conducted empirical research with SCM practices and retail outlet attributes to evaluate the retailers’ performance. The authors present the results from 321 valid responses from the Indian food retailers. The study used structured equation modeling to present the analysis and the results.

Findings

The findings of this study reveal that most of the SCM practices (i.e. information technology, level of information sharing, customer relationship, supplier relationship and goal congruence) have a positive impact on performance except the quality of information sharing. The results show that in the time of the pandemic, the retail outlet attributes (image, service quality and convenience) have no significant relationship with the food retailer’s performance while SCM practices are necessary to achieve better performance of the food retailers.

Research limitations/implications

A proactive approach is needed from retailers at the time of pandemic situations to manage the supply chains. The retailers must be extra careful in screening the suppliers for the short and long run. The reason being that in the situation of pandemic, customers might be more demanding and hence, food retailers need to pay special attention to gain growth. It is also required that the policymakers should give importance to the implementation of these SCM practices to be positioned differently.

Originality/value

The research can be valued in terms of its original contribution towards companies in overcoming the disruption caused by COVID-19 to maintain a balance between demand and supply and proposes a completely new theoretical framework. The proposed theoretical model would add value to the existing literature to help the retailers in process of their performance improvement. The study has provided insights for retail organisations, suppliers and government departments to manage their SCs more effectively and efficiently during the pandemic.

Does a retailer's performance depend on CSR practices? A stakeholder theory perspective from developing economy

Purpose

The study aims to examine the relationship between retailer's performance and corporate social responsibility (CSR) practices in Indian context. The article introduces a new conceptual model considering the parameters as per the stakeholder theory perspective.

Design/methodology/approach

The authors conducted empirical research with CSR practices (CSRP) and other parameters to evaluate the retailers' performance using stakeholder theory. The authors present the results from 292 valid responses from the Indian retailers. The study used structured equation modeling (SEM) to present the analysis and the results.

Findings

Findings indicate that CSRP along with additional constructs loyalty (L), reputation (R), customer satisfaction (CS) and competitive advantage (CA) have positive and significant impact on organizational performance (OP).

Practical implications

The framework will serve as a guiding tool to the management of the retail outlets to examine carefully the link among CSRP with other variables presented in the study and subsequently to the retail outlet performance. The retailers must be more focused on the expectations and demands of the customers concerning products and services for better growth of the firms.

Originality/value

The uniqueness of the study lies in “CSR practices enabled integrated model” to examine the performance of the organizations. The proposed theoretical model would add value to the existing literature to help the retailers in process of their performance improvement.

A systematic and network-based analysis of data-driven quality management in supply chains and proposed future research directions

Purpose

This work aims to review past and present articles about data-driven quality management (DDQM) in supply chains (SCs). The motive behind the review is to identify associated literature gaps and to provide a future research direction in the field of DDQM in SCs.

Design/methodology/approach

A systematic literature review was done in the field of DDQM in SCs. SCOPUS database was chosen to collect articles in the selected field and then an SLR methodology has been followed to review the selected articles. The bibliometric and network analysis has also been conducted to analyze the contributions of various authors, countries and institutions in the field of DDQM in SCs. Network analysis was done by using VOS viewer package to analyze collaboration among researchers.

Findings

The findings of the study reveal that the adoption of data-driven technologies and quality management tools can help in strategic decision making. The usage of data-driven technologies such as artificial intelligence and machine learning can significantly enhance the performance of SC operations and network.

Originality/value

The paper discusses the importance of data-driven techniques enabling quality in SC management systems. The linkage between the data-driven techniques and quality management for improving the SC performance was also elaborated in the presented study.

Omni-channel retailing in supply chains: a systematic literature review

Purpose

The purpose of this paper is to conduct a structured literature review using advanced bibliometric tools to understand the existing knowledge base, understand the trends in omni-channel (OC) research and identify emerging research topics.

Design/methodology/approach

More than 500 articles selected through a keyword combination search from reputed databases of peer-reviewed academic sources from period 2009–19 are analyzed for the purposes of this study. The study first presents an exploratory analysis to determine influential authors, sources and regions, among other key aspects. Second, several network analyses including co-citation and dynamic co-citation network analyses are conducted to identify themes. These allow identifying research clusters and emerging research topics algorithmically. Both centrality and modularity-based clustering are employed. A content analysis of the most influential groups within OC literature for each cluster is included.

Findings

The findings of this paper make unique contributions by using advanced tools from network analysis along with the standard bibliometric analysis tools to explore the current status of OC research, identify existing themes and the guidance for potential areas of future research interest in OC.

Practical implications

This research provides a comprehensive view of the range of topics of importance that have been discussed in the literature of OC management. These research trends can serve as a quick guide to researchers and practitioners to improve decision making and also develop strategies.

Originality/value

The paper employs advanced tools for the first time to review the literature of OC retailing. The sophisticated tools include co-citation and dynamic co-citation network analysis.