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Soft total quality management (STQM) practices are essential for promoting value-added organizational citizenship behaviour (OCB) among employees in quality-focussed manufacturing firms. This study intends to investigate how STQM practices (empowerment, training, teamwork and involvement) affect OCB under the moderating influence of collectivism among employees for excellence in business performance using social exchange and social cognitive theories (SET-SCT).

A total of 245 useable surveys were gathered from manufacturers. Given the importance of the two-staged structural equation modelling–partial least squares–artificial neural networks (SEM-PLS-ANN) technique, this study used a two-staged SEM-PLS-ANN analysis to capture both linear and compensatory PLS models and nonlinear and noncompensatory ANN models.

The findings confirmed that empowerment, involvement and training had a significant impact on OCB. However, teamwork had no impact on OCB. Interestingly, collectivism was found to have a significant and positive moderating effect on training and OCB.

The study contributes significantly to the literature on TQM and human resource management. First, the study broadens researchers’ understanding of how to apply SET by including a collective value from SCT as positive reciprocity to foster positive workplace behaviour. Second, the authors offer a solid management strategy for organizations to assist them in understanding an STQM model that promotes OCB while including collectivism for superior business performance.

There is an ongoing challenge to map the efficacy of e-retailing strategies in building both value co-creation opportunities for online customers and customer value for companies. Based on the service-dominant (S-D) logic, an integrative model is provided that connects the impact of convenience and personalisation strategies (CPSs) on an e-retailer's performance – by offering co-creation opportunities and customer engagement.

The survey instrument is validated and the model is tested with data from active online customers using a novel methodology that blends artificial neural network (ANN) analysis with partial least squares (PLS) in both the measurement model and the path analysis.

The findings robustly support the model and yield evidence of the contribution of CPSs in effective value propositions, the interface between the S-D logic and customer engagement, and the direct effect of customer engagement on tangible forms of value for companies.

This study is the first scholarly effort to provide a comprehensive understanding of how and why CPSs can maximise customer value for the e-retailer, while simultaneously testing the customer value/engagement interface with a new blended ANN-PLS method.

In recent years, technological advancement has played a crucial role in the growth of emerging economies. However, as with any novel technological development, there are often concerns and hesitations surrounding its implementation. This study aims to investigate the factors influencing blockchain adoption and usage. Thereby evaluating its impact on supply chain performance.

This is a deductive research based on the modified form unified theory of acceptance and use of technology, which is a persuasive model that has been used in numerous studies on the acceptance and usage of information technology systems. For this study, valid data was collected from 129 management-level supply chain professionals and policymakers working in diverse manufacturing industries. The collected data was used for testing hypotheses by deploying the structural equation modeling technique.

The findings of this study reveal that facilitating conditions and technology readiness highly are key influencers for organizations to implement this disruptive technology. Moreover, blockchain adoption and usage can significantly enhance supply chain performance.

Blockchain technology is a novel and promising disruptive technology that industries are looking forward to adopting and using. For the policymakers and supply chain strategists working in a developing country, this study offers a comprehensive viewpoint on the swift acceptance and usage of blockchain technology to facilitate supply chain operations.