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This paper explores sustainability within supply chain management and its link towards resilience through the lens of ethics. The wicked problem of sustainability impacts supply chains and society at large, and the ability of supply chains to remain viable in the future is based on the sustainability of business practices. The paper argues that a substantive proportion of sustainability mechanisms (such as the Triple Bottom Line approach and codes of conducts) can be viewed within the ethical paradigm of deontology, whereby the morality of an action is based on adherence to rules. However, there are numerous critiques of such approaches and their success in creating more sustainable practices. Therefore, the paper proposes there is a need for systems thinking approaches to be incorporated into the exploration of the link between ethics, sustainability and supply chain resilience. Using two examples of social sustainability issues in Australia – modern slavery legislation and horticultural ¹ worker exploitation – the paper demonstrates the utility of various systems thinking methodologies to explore the complexity of these issues. The paper sets out a conceptual call to arms for researchers and practitioners to apply a holistic lens towards how the morality of actions is shaped and influences supply chain sustainability practices.

The present study aims to examine the relationship between techno-ethical orientation and ethical decision-making (EDM) in Indian supply chain companies during the COVID-19 pandemic. It also aims to explore the moderating role of technological frames (TF) in the relationship between techno-ethical orientation and EDM.

The relationship between techno-ethical orientation and EDM is examined using correlation and regression analysis. The moderating effect of five dimensions of TFs (personal attitude, application value, organisational influence, supervisor influence and industry influence) is analysed using structural equation modelling.

The correlation coefficient between techno-ethical orientation and EDM is 0.513. Also, the regression coefficient (β = 0.213) is significant at 0.05, establishing a positive linkage between the two. R-square values showed a 45.2% variation in EDM is explained by techno-ethical orientation. Similarly, all variables of TFs have a positive and significant moderating effect on the relationship between techno-ethical orientation and EDM.

This is one of the pioneer studies exploring techno-ethical orientation’s impact on EDM in supply chain companies.

In this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management (SCM). The study aims to provide a comprehensive overview of artificial knowledge and digitalization as key enablers of the improvement of SCM accountability and sustainable performance towards the UN 2030 Agenda.

Using the SCOPUS database and Google Scholar, the authors analyzed 135 English-language publications from 1990 to 2022 to chart the pattern of knowledge production and dissemination in the literature. The data were collected, reviewed and peer-reviewed before conducting bibliometric analysis and a systematic literature review to support future research agenda.

The results highlight that artificial knowledge and digitalization are linked to the UN 2030 Agenda. The analysis further identifies the main issues in achieving sustainable and resilient SCM business models. Based on the results, the authors develop a conceptual framework for artificial knowledge and digitalization in SCM to increase accountability and sustainable performance, especially in times of sudden crises when business resilience is imperative.

The study results add to the extant literature by examining artificial knowledge and digitalization from the resilience theory perspective. The authors suggest that different strategic perspectives significantly promote resilience for SCM digitization and sustainable development. Notably, fostering diverse peer exchange relationships can help stimulate peer knowledge and act as a palliative mechanism that builds digital knowledge to strengthen and drive future possibilities.

This research offers valuable guidance to supply chain practitioners, managers and policymakers in re-thinking, re-formulating and re-shaping organizational processes to meet the UN 2030 Agenda, mainly by introducing artificial knowledge in digital transformation training and education programs. In doing so, firms should focus not simply on digital transformation but also on cultural transformation to enhance SCM accountability and sustainable performance in resilient business models.

This study is, to the authors' best knowledge, among the first to conceptualize artificial knowledge and digitalization issues in SCM. It further integrates resilience theory with institutional theory, legitimacy theory and stakeholder theory as the theoretical foundations of artificial knowledge in SCM, based on firms' responsibility to fulfill the sustainable development goals under the UN's 2030 Agenda.

The research frontier concerning the relationship between Industry 4.0 (I4.0) and supply chain performance (SCP) in manufacturing is currently lacking in a comprehensive examination. This study examines the relationship between I4.0 adoption and SCP. Additionally, the study examines the mediating effects of supply chain traceability (SCT), supply chain visibility (SCV) and supply chain resilience (SCR), both individually and sequentially.

The data were garnered from 510 managers of manufacturing firms, and PLS-SEM was applied to examine the sequential mediation effect of SCT, SCV and SCR between I4.0 and SCP.

Results indicate a statistically significant direct relationship between I4.0 adoption and SCP. Furthermore, SCT mediates the impact of I4.0 on SCP. Similarly, results showed that SCV mediates the impact of I4.0 on SCP and SCR mediates the impact of I4.0 on SCP. Moreover, the relation between I4.0 adoption and SCP is substantially influenced by the sequential effects of SCT, SCV and SCR. The study provides novel empirical evidence by investigating the sequential mediation roles of SCT, SCV and SCR between I4.0 adoption and SCP through the lens of the resource-based view (RBV) perspective.

Policymakers must prioritize the promotion of I4.0 integration to strengthen the performance of manufacturing supply chains (SC). This can be achieved by improving traceability, visibility and resilience within these SCs.

The originality of this study lies in its use of the sequential mediation effect of SCT, SCV and SCR between I4.0 and SCP under the theoretical lens of RBV.

Global supply chains are increasingly becoming more prone to high-impact disruptions, which has been fairly evident with the coronavirus disease 2019 (COVID-19) pandemic. The capacity to address disruptions is essential for the survival of any organization. Coping with increasing complexity and uncertainties requires a systemic view of supply chains. Furthermore, a comprehensive understanding of the governance structure and timely decision-making are critical in times of disruptions. Although several aspects of supply chain resilience (SCRES) are broadly studied in the literature, the relationship between supply chain orientation (SCO), decentralization in decision-making and SCRES is an understudied area.

This study takes a longitudinal approach to address this research gap with a comprehensive meta-analytic review to explore the relationships between the constructs of interest through the lenses of contingency and dynamic capability theories. Furthermore, 2 surveys with sample sizes of 250 and 200 were conducted with supply chain professionals to test the research framework before and after the pandemic to compare the findings.

Structural Equation Modeling (SEM) analysis indicates a positive relationship between SCO and decentralization and between decentralization and SCRES. The post-COVID-19 analysis further validates the influence of agility, collaboration and situational awareness related to decentralization and resilience. More importantly, capabilities have a higher impact on resilience during the pandemic than before.

The results entreat organizations to attain decentralized decision-making vis-à-vis dedicated functional teams charged with reacting timely to disruptions. The teams should be empowered to leverage their knowledge and experiences regardless of their position in the hierarchy.

Although SCRES is an active research stream, the structural aspects of SCRES and its relationship with SCO are understudied. Therefore, this research puts forth a research framework and empirically tests hypotheses that frame the relationship between SCO, decentralization and resilience outcomes in pre- and post-COVID environments.

The purpose of this paper is to study the integration between fused deposition modeling (FDM) technology and abrasive flow machining process to improve the surface quality of FDM printed parts. FDM process has some limitations in terms of accuracy and surface finish. Hence, post-processing operations are essential to increase the quality of the part.

Initially, a sustainable polymer abrasive gel-based media (SPAGM) using natural polymer and natural additives (waste vegetable oil) was prepared using different combinations of (abrasive mesh size, percentage of abrasives and percentage of liquid synthesizer); then the characterization of media was done to check various properties. As media is an essential part in the process which helps in increase the surface finish, it needs to have some desired characteristics such as the following: the developed SPAG needs to hold the abrasives; its viscosity has to be medium so that it can easily flow through the machine; and its thermal stability caused by the increase in the temperature during various cycles of operation. For that, it is characterized rheologically as well as thermally to find its various properties.

Experiments were performed on FDM-printed parts using an L9 orthogonal array with different parameters to find their effect on the workpiece. Scanning electron microscope images of SGAPM showed sharp edges of abrasive particles and bonding pattern between polymer chain molecules. Good surface finish and material removal rate (MRR) was observed at high pressure and long finishing time with 50 per cent abrasive concentration.

The authors confirm that this work is original and has neither been published elsewhere nor is it currently under consideration for publication elsewhere.

A globalized world demands proactive tactics from organizational supply chains. Companies should be capable of mitigating the impacts of natural and manmade disasters, which requires that they understand their stages of maturity and resilience. This study develops a theoretical model of the relationship between maturity and resilience, seeking to guide decision-making about aligning these two concepts.

A systematic literature review was conducted to identify the constructs that form the basis for our proposed maturity and resilience model.

The authors identified the key constructs related to maturity and resilience by analyzing the existing literature and selected 13 constructs and 3 maturity stages to construct our maturity and resilience model.

This research contributes to the supply chain management literature, especially that involving the themes of maturity and resilience. It can encourage research to develop future empirical research in the field to validate and overcome the limitations of the initial model the authors propose.

The authors’ proposed model supports supply chain managers in establishing strategies to increase resilience based on the maturity of the chains they manage, enabling them to face crises such as the coronavirus disease 2019 (COVID-19) pandemic.

The model presents a holistic view of maturity and resilience in supply chains contributing to supply chain theory by examining the alignment between the two themes.

The case aims to deal with multigenerational entrepreneurship. The family business of sports goods was initiated by Yashpal Aggarwal and his friends in the 1950s. Yashpal acquired the art of doing business and started initially with trading of sporting goods in Mumbai. Yashpal had three sons, Ashok, Ashwini and Rajesh, who ventured into sports trading business as well. After the demise of Yashpal, Ashok shifted to Jalandhar and started a manufacturing unit, producing roller skates. Ashwini, being entrepreneurial and innovative, had always desired to professionalise the business and hence started with Okini Sports. Okini Sports emerged as the first organised professional sports mall in India.

Based on case research, individual interviews at different levels, testing the case several times and filling the case gaps during the process to authenticate information, multiple sources of information have been used.

Businesses largely compete on the basis of available talent, competency and capability. Family businesses must be open to induct competent people within the family with the required skills to lead the company. If a family nurtures a member with requisite skills, values, to keep shareholders, key customers, and suppliers loyal to the business, then family leadership is the best option. As the business grows in dimension, differential capabilities are required to run the business competitively, hence, inducting talented individuals as professionals is a better option. A family must be realistic about the talents available internally.

This case is restricted to sports family business entrepreneurship in the context of India, but has a great learning towards multigenerational entrepreneurship.

The case is original with the family in its fourth generation, the youngest looking to diversify and professionalize the business, set his family dreams of setting up the biggest sports mall in India.

The purpose of this paper is to investigate the optimized setting of wire-cut electrical discharge machining (WEDM) parameters at which material removal rate (MRR) and mean roughness depth (Rz) set a compromise. The problem in the processing of Ti-6Al-4V by conventional processes is a high strength, high hardness, high tool wear. Due to which WEDM is adopted to machine Ti-6Al-4V biomedical alloy. Ti-6Al-4V alloy has a number of applications in the engineering and medical industries due to its high strength biocompatibility.

The effect of control factors (i.e. pulse on-time: Pon; pulse off-time: Poff; servo voltage: SV) on the MRR and Rz is investigated in the present research. The planning of experiments is done using a Taguchi-based L9 orthogonal array. The percentage influence of each factor on responses is also evaluated. The multi-objective optimization is done using the grey approach initially. After that, the results were also calculated using harmony search (HS). Therefore, a hybrid approach of grey and HS is used to find the optimized values of MRR and Rz.

The maximum value of grade calculated by grey-HS is 0.7879, while in the case of the experimental run the maximum value of grey grade is 0.7239. The optimized setting after improvisation at this grade value is Pon: 130 µs; Poff: 45 µs and SV: 70 V for MRR and Rz collectively. The validation of the suggested setting is completed by experimentation. The values of MRR and Rz are coming out to be 6.4 mm³/min and 13.84 µm, which represents improvised results after the implementation of the HS algorithm.

The integration of the grey approach with the HS principle in the manufacturing domain is yet to be explored. Therefore, in the present research hybrid approach of grey-HS is implemented in the manufacturing domain having applications in medical industries.

This paper investigates the overall system risk for a foodgrains supply chain capturing the interrelationship among the risk factors and the effect of risk mitigation strategies.

This paper first calculates the weight of risk factors using an integrated approach of failure mode, effects analysis and fuzzy VIKOR technique. Next, the weights are utilized as input for the weighted fuzzy Petri-net (WFPN) approach to calculate the system risk.

Two different WFPN models are developed based on the relationships among the risk factors, and both models demonstrate a higher risk value for the overall system.

The proposed methodology will help practitioners or managers understand the complexity involved in the system by capturing the interrelationship behaviour. This study also considers the concurrent effect of risk mitigation strategies for calculating the overall system risk, which helps to improve the system’s performance.