Purpose: The present situation is marked by the threat of COVID-19 pandemic on entire humankind and researchers across the globe are looking forward to vaccines or medicines to tackle COVID-19. However, according to the scholars and health-care agencies, vaccines alone would not be of much help...

Purpose: This paper aims to explore the challenges and opportunities of blockchain technology adoption from the lens of the technological–organisational–environmental (TOE) framework for operational excellence in the UK automotive industry context. Design/methodology/approach: The research...

Purpose: The objective of this paper is to assess and synthesize the published literature related to the application of data analytics, big data, data mining and machine learning to healthcare engineering systems. Design/methodology/approach: A systematic literature review (SLR) was conducted...

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...

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. ...

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....

Many studies have estimated the effect of taxes on taxable income. To account for nonlinear taxes these studies either use instrumental variables approaches that are not fully consistent or impose strong functional form assumptions. None allow for general heterogeneity in preferences. In this...