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In the Indian manufacturing SMEs context, supply chains have a complex structure having multiple echelons, multiple partners and multiple locations. Due to these complexities, most of the Indian manufacturing SMEs face several types of supply chain risks. This paper aims to identify the dominant risk variables and to develop the interrelationship among these risk variables.

Based on the literature review and experts’ opinion, nine dominant risk variables faced by an Indian manufacturing SMEs have been identified. An interpretive structural modelling (ISM) approach has been adopted to establish the interrelationship among the risk variables. These risk variables have been classified by using MICMAC analysis. Based on ISM-MICMAC approach, a case study on three Indian manufacturing SMEs has been carried out.

This study would help the supply chain managers to understand and prioritize the significant risk variables. Nine significant risks variables of Indian manufacturing small and medium enterprises (SMEs) have been studied. External risk, information technology risk and financial risk have identified as most influencing risk variables, while delay risk and market risk have emerged as the most dependent risk variables. These results will provide a guideline to supply chain managers for implementation of supply chain risk management (SCRM).

In this study, an ISM-based model is developed based on the opinion of experts from a group of Indian manufacturing SMEs; as such, this model may be biased and limited to a selected company. This framework can be extended further by adding more risk variables and sub-risk variables from the other sectors/organizations.

Many SCRM models are available in past literature, but no model has been proposed for the Indian Manufacturing SMEs. This research finding can be useful for managers to understand the characteristics and interrelationships among the risk variables for building a robust supply chain. These results will also help the supply chain managers in making proactive plans for SCRM, especially in the Indian SMEs context.

This study aims to design a facility network for the weavers to do direct business in the Indian handloom industry by using tourists as potential customers.

Data from 4,001 weavers of the handloom industry and 82 tourist locations of Varanasi city were collected. This data was analysed using the k-mean and elbow methods to determine the locations and the optimal number of collection centres, selling stores and warehouses to provide opportunities for the weavers to do direct business.

The study's findings showed that a greater opportunity could be provided with four optimal collection centres and selling stores, along with two warehouses in the handloom industry of Varanasi city. These results provide valuable guidance for policymakers to plan the Varanasi handloom network of facilities efficiently and effectively to improve the conditions of weavers.

Determining the optimal locations is crucial for designing a facility network. The proposed network will aid the government and policymakers in comprehending and pinpointing potential sites to establish new facilities in the handloom industry in Varanasi, a city with tourism potential.

This paper aims to identify and analyze the challenges for the Varanasi handloom industry after the COVID pandemic by considering their impact on different sections of the weavers and subsequently suggest the best possible solution for the same.

A combined approach of expert opinion and in-depth literature reviews are used to identify the challenges, and a multicriteria decision-making tool is used to rank the challenges for the type of weaver.

This research provides an elaborated view of the problems faced by the handloom industry after the COVID pandemic and suggests that the success of the handloom business is subjected to the eradication of a wide number of challenges according to the type of weaver.

The findings of this research will help the policymakers to make and align their policies and strategies for the upliftment of the Varanasi handloom industry efficiently and effectively.

To the best of the authors’ knowledge, this is the first kind of study that focuses on identifying and prioritizing the barriers affecting the success of the Varanasi handloom industry after the COVID pandemic. Furthermore, the uniqueness of this research lies in its ability to study all three independent sections of the handloom industry, having different capabilities and limitations.

This study aims to explore the essence of the omnichannel in the handloom industry’s development and to identify, analyse and estimate the barriers obstructing the implementation of the omnichannel in the handloom industry of India.

A descriptive literature review and expert opinion are used to identify the barriers obstructing the successful realisation of the omnichannel in the handloom industry of India. Moreover, interpretive structural modeling and the matrix of cross-impact multiplications applied to classification are used to analyse and estimate the impact of these barriers.

This research suggests the implementation of the omnichannel is subjected to several barriers, specifically lack of government support and policies, uncertainty in business contract partners, poor reverse logistics system, etc.

This research explores the contribution of the handloom industry to the socioeconomic development of the rural and semi-urban Indian population. It also explores the need for government support for the survival and growth of the handloom industry. It also explains how omnichannel can support this industry for its survival and its overall development. Furthermore, factors inhibiting the implementation of the omnichannel in the handloom industry are identified and evaluated based on their over impact.

The COVID-19 outbreak has significant psychological effects because of reduced support system and social quarantine, making women the worst-hit population of shadow pandemic, i.e. domestic violence. While food shortages, unemployment and increased domestic-work burdens are the immediate effects of the lockdown, women at home have to bear its far-reaching impacts in the long term in the form of domestic abuse, making the study of the psychological impact of domestic violence against women imperative. This paper aims to identify the factors and causes responsible for domestic violence and its psychological impacts on women in different aspects. This paper further focuses on the reasons behind an escalation in psychological violence against women.

This paper is based on extrapolating data from various journal articles, Indian Government reports, newspaper articles and other printed materials that are recent, relevant and discuss domestic violence and mental stress during the COVID-19 pandemic. Researchers use Indian National Commission for Women’s (NCW) data on complaints received regarding violence against women and domestic abuse in the year 2020 and 15 journal articles that discuss domestic violence against women during the COVID-19 period in different countries to discuss social inequalities and power relations impact on women’ mental health.

The findings suggest that economic instability during the pandemic and social and cultural norms of India ignited psychological abuse against women during the pandemic. The number of monthly complaints of dowry death, dowry harassment and protection of women against domestic violence reflect on increased registered complaints in the postlockdown period in the year 2020. The number of monthly complaints received by the NCW from January 2020 to December 2020 in India represents that WhatsApp chat is a powerful tool for reporting domestic violence.

The pandemic lockdown has an adverse psychological impact on women, making them suffer from posttraumatic symptoms, substance abuse, panic attacks, depressions, hallucinations, eating disorders, self-harm, etc. This paper strives to reflect upon mitigation strategies to curb domestic violence in India.

The purpose of this study is to outline a conceptual framework for customer engagement in the context of social media for emerging markets. Three competing models of customer engagement were identified and tested to arrive at the best suited model for the given contexts. The alternative conceptual frameworks involve the constructs of active participation, community trust and community commitment in relation to customer engagement.

Data were collected using questionnaires sent via e-mail to respondents. Structural equation modelling was then used to arrive at the best suited model, while also empirically testing for the relationships among the constructs.

The study, by way of an empirical comparison of alternative conceptual frameworks, presents a customer engagement framework best suiting the social media context for emerging markets. The study also outlines active participation, community trust and community commitment to be acting as antecedents to customer engagement. Further active participation is identified as a necessary antecedent to customer engagement based on the comparative assessment of the frameworks.

While there is not much consensus on the nature of customer engagement, the study offers insights to marketers in terms of managing customer engagement with their brand communities. The study identifies the role and importance of inducing active participation in a brand community context. Further, it also identifies community trust and community commitment to be occurring as antecedents to customer engagement, with commitment implying for a more pronounced role in the framework.

There is no consensus among researchers regarding the nomological network surrounding customer engagement. Further, very few of these studies have focussed on this construct in the context of emerging markets. This study thus attempts to close the above gap, by testing for alternative conceptual frameworks involving customer engagement, in the context of social media for emerging markets.

This study aims to provide a rich learning opportunity from COVID-19 crisis for making resilient supply chain by adopting new strategies for the procurement system.

The systematic literature review has been conducted from the year 2012 to 2022 with the objective of developing procurement system for resilient supply chain. Fifty-four research papers are selected for this study.

The study exhibits that procurement function makes a significant contribution in creating supply chain resilience in the time of COVID-19 pandemic. The COVID-19 emergency has enforced companies to operate in new ways to face supply chain disruptions. The new strategies and actions appropriate for resilient procurement system have been identified.

This study is limited to the papers that were indexed in the Scopus database. It has also been limited to the procurement function and supply chain resilience.

This research highlights strategies for supply chain resilience to improve the business performance in COVID-19 or similar types of crisis.

The originality of this paper is to identify the strategies and new practices followed in procurement function to improve the supply chain resilience. This study suggests directions for future research on the integration of procurement and manufacturing for making resilience in the supply chain.