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The COVID-19 pandemic has brought unprecedented disruptions to global supply chains, compelling organizations to reevaluate their strategies for resilience and adaptability. In response, smart technologies (ST) have emerged as integral tools in post-pandemic supply chain management (SCM). This study aims to conduct an exploratory systematic literature review to comprehensively examine the evolving landscape of smart technology adoption in the context of SCM post-pandemic.

A systematic literature review has been conducted to examine the potential research contribution or directions in the field of ST and SCM. In total, 240 articles were shortlisted from the SCOPUS database in the chosen field of research. Bibliometric analysis was conducted by using VOSviewer to investigate the research trends in the area of SCM.

The review identifies key themes and trends, including supply chain resilience, digital transformation, enhanced visibility, predictive analytics and sustainability considerations. It explores the role of ST in fostering agility, transparency and risk mitigation within supply chains. Furthermore, eight clusters were identified to generate several thematic topics of ST in SCM. The results have evidenced a strong gap related to Industry 5.0 approaches for the supply chain field. A total of 240 publications, including journal articles, have been found in the literature. A total of 37 words, which were grouped in 8 clusters, have been identified in the data analysis.

By synthesizing the current state of literature, this study provides valuable insights for practitioners, policymakers and researchers seeking to navigate the complexities of post-pandemic SCM in an increasingly digitized and interconnected world. The findings highlight the transformative potential of ST and offer a roadmap for further exploration in this critical domain.

In this paper, the development path of the field of ST in SCM during the pandemic and the research constructs are presented and potential research directions are based on the bibliometric method.

The purpose of this paper is to give an overview of artificial intelligence (AI) and other AI-enabled technologies and to describe how COVID-19 affects various industries such as health care, manufacturing, retail, food services, education, media and entertainment, banking and insurance, travel and tourism. Furthermore, the authors discuss the tactics in which information technology is used to implement business strategies to transform businesses and to incentivise the implementation of these technologies in current or future emergency situations.

The review provides the rapidly growing literature on the use of smart technology during the current COVID-19 pandemic.

The 127 empirical articles the authors have identified suggest that 39 forms of smart technologies have been used, ranging from artificial intelligence to computer vision technology. Eight different industries have been identified that are using these technologies, primarily food services and manufacturing. Further, the authors list 40 generalised types of activities that are involved including providing health services, data analysis and communication. To prevent the spread of illness, robots with artificial intelligence are being used to examine patients and give drugs to them. The online execution of teaching practices and simulators have replaced the classroom mode of teaching due to the epidemic. The AI-based Blue-dot algorithm aids in the detection of early warning indications. The AI model detects a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection, sound pressure detection and light level detection. The above and various other applications are listed throughout the paper.

Research is largely delimited to the area of COVID-19-related studies. Also, bias of selective assessment may be present. In Indian context, advanced technology is yet to be harnessed to its full extent. Also, educational system is yet to be upgraded to add these technologies potential benefits on wider basis.

First, leveraging of insights across various industry sectors to battle the global threat, and smart technology is one of the key takeaways in this field. Second, an integrated framework is recommended for policy making in this area. Lastly, the authors recommend that an internet-based repository should be developed, keeping all the ideas, databases, best practices, dashboard and real-time statistical data.

As the COVID-19 is a relatively recent phenomenon, such a comprehensive review does not exist in the extant literature to the best of the authors’ knowledge. The review is rapidly emerging literature on smart technology use during the current COVID-19 pandemic.

Food systems research is typically focused on productivity and efficiency. But in the face of impending challenges of climate, investment, markets, and incomes small holders may do well to shift to diversity and sufficiency. The transition requires institutions such as Farmer Producer Organisations (FPOs) to play the role of intermediaries. This paper aims to understand this challenging phenomenon using a case from India.

In this article, drawing from the emerging literature of PO as a sustainability transition intermediary, this paper uses the case study of a women-owned FPO and explores its role in contributing to sustainable food systems through practices of non-pesticide management of agriculture. This paper explores, through non-participant observer methods, focus group discussions and interviews with multiple stakeholders how an FPO embeds sustainability in its purpose and the challenges faced in transforming producer and consumers towards sustainable food systems.

The study argues for early articulation of the “sustainability transition intermediary” role in the FPO’s vision and mission. Second, FPOs’ role of being a transition intermediary is impacted by the key stakeholders and the durability of relationship with them.

By studying FPOs in India, from the framework of sustainability transitions, this article adds to the limited literature that looks as POs as sustainability transition intermediaries.

Women establish their enterprise for economic independence and empowerment. This study aims to identify the factors that promote women entrepreneurship in Uttarakhand, a state in India. Although, women have the potential to become entrepreneurs, they do not have the right opportunities to explore it. Therefore, the role of non-government organizations (NGOs) is imminent in supporting women's entrepreneurial cause.

The problems of women entrepreneurs during venture creation have been explored. Case studies of women entrepreneurs and NGOs operating in Uttarakhand have been developed through an in-depth interview method.

Entrepreneurial learning occurs because of certain personal, social and environmentally driven motivational factors. Entrepreneurial learning helps in the development of personal, social, managerial and entrepreneurial competencies. These competencies are essential for the performance of an enterprise.

This study provides directions to policymakers and researchers to focus on developmental programmes for women entrepreneurs.

This study explores a conceptual framework for the promotion of women entrepreneurship.

Personality characteristics have a significant impact on the economic segment of women entrepreneurs. Due to gender biases or other factors, women entrepreneurs are fewer in India than in other countries. The purpose of this study is to identify the personality factors and challenges that affect their growth and success.

Logistic regression was used to show the impact of personality characteristics and firm performance and the moderating effect of challenges between personality characteristics and firm performance.

The findings revealed a significant impact of personality factors on firm performance, the absence of moderating effects of challenges and the presence of a mediation effect of enterprise age and enterprise location.

This research will help policymakers adopt policies and plans to reduce obstacles and challenges so that the economic conditions of women’s entrepreneurship can transform.

Women in the 21st century still live in a male-dominated patriarchal society because they face the problem of financial capital.

The results show the impact of personality traits and challenges on the firm performance of women’s entrepreneurship.

Recently, the Government of India has emphasized digital financial inclusion for promoting cashless transactions with a vision to transform India from a traditional cash-based economy into a cashless economy. Technology-driven payment apps are facilitated greater access to cashless financial services and improve the speed, efficiency, accuracy and effectiveness of financial transactions. This study aims to explore the determinants of quick response (QR) code mobile payment (m-payment) adoption intention among marginalized street vendors in India.

The proposed research model was tested using 320 responses from QR code m-payment users. An interview schedule was performed using the structured questionnaire from marginalized street vendors by adopting a purposive sampling technique. The proposed research framework of this study developed on the Unified Theory of Acceptance and Use of Technology (UTAUT). In addition to the existing variables proposed in the UTAUT model, three more variables have been added, namely, digital financial literacy (DFL), personal innovativeness (PI) and perceived trust (PT). Besides, the study used confirmatory factor analysis and structural equation modeling techniques to analyze the data.

This study confirms that factors such as performance expectancy, effort expectancy, facilitating conditions, PT and customers’ DFL are significant determinants of street vendors’ intention to use QR code m-payment services. However, social influence and PI have shown an insignificant relationship with adopting a QR code m-payment system.

The results provide insights for policymakers and service providers. Specifically, government and bankers design promotional campaigns emphasizing the ease of use, perceived benefits, security and faster business transactions to accept and use the QR code m-payment system to encourage prospective users to achieve a cashless economy.

Many prior studies have widely concentrated on m-payment adoption intention in India. However, only a few studies have attempted to examine the factors influencing the adoption of QR code m-payment services among merchants from emerging economies. There is a dearth of studies on QR code adoption from an unorganized sector perspective, specifically marginalized street vendors. Therefore, this study explicitly examines the extent to which the determinants of adoption intention toward QR code-based m-payment services among marginalized street vendors within the framework of the extended UTAUT model by incorporating DFL, PI and PT. The findings of this study contribute, theoretically and practically, to the existing literature.

The purpose of this paper is to identify and model critical barriers to cloud computing adoption (CCA) in Indian MSMEs by the interpretive structural modeling (ISM) approach.

In this paper, through a literature survey and expert opinions, 14 critical barriers were identified, and the ISM tool was used to establish interrelationship among the identified barriers and to determine the key barriers having high driving power.

After analyzing the barriers, it was found that three barriers, namely, lack of confidentiality (B8), lack of top management support (B3) and lack of sharing and collaboration (B2) were most significant.

The developed model is based on the expert opinions, which may be biased, influencing the final output of the structural model. The research implications of the developed model are to help managers of the organization in the understanding significance of the barriers and to prioritize or eliminate the same for the effective CCA.

This study is for the first time an attempt that has been made to apply the ISM methodology to explore the interdependencies among the critical barriers for Indian MSMEs. This paper will guide the managers at various levels of an organization for effective implementation of the cloud computing practices.

The marginalised people at the bottom of the pyramid are unable to access finance due to the lack of collateral and physical property. The self-help group linkage programme enables the people at the bottom of the pyramid to finance through their social capital and social relationship. In a group, the liability for each of the members is limited, and the group assumes joint liability for loans taken by the members of group.

The subject area is strategy and business.

The case can be used for MBA students. This is equally effective in short courses meant for low-to-mid-level working executives. The case is suited for classes in strategy, general marketing, media management and family business courses.

Dainik Jagran – a vernacular daily – is the most read newspaper in India. Under the banner of Jagran Prakashan Ltd.; which is one of the leading media houses in India, the success of Dainik Jagran has been an outcome of the strategic marketing decisions taken by its founder and his successors in the post-independence era. With extensive circulation, it created a large readership base and took bold decisions to launch multi editions to its daily through a series of acquisitions, mergers and consolidations from 1975 to 2010, enabling it to step into product diversification. Readership surveys, investments in technology, advertising, regular branding events and smart phone applications are a few tools that helped. While the group has diversified into other industries, there is an underlying anxiety about the future prospects of its newspaper business. With the onslaught of online news dailies, will Dainik Jagran be able to expand and maintain its readership base using its previous business and marketing strategies? Or is it time to change strategies for businesses in the newspaper and allied media industry in India?

The study has the following outcomes: application of value chain concept in businesses serving two-sided markets; application of environmental analysis, Porter’s five forces analysis and related strategy concepts; and learning to critically approach and develop a sustainable growth strategy framework for a successful family-run newspaper business in India.

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CSS 11: Strategy.

This study aims to analyse the Corporate Insolvency Resolution Process (CIRP) in India, emphasizing the unique challenges faced by different sectors. It highlights that 45.23% of admitted cases result in liquidation or resolution, underscoring the need for sector-specific provisions in the Insolvency and Bankruptcy Code (IBC). The current framework’s limitations lead to higher haircuts and lower recovery rates. Sector operates under general provisions of IBC, which do not include specific clauses designed to address their particular requirements. The implementation of sector-specific strategies is essential for improving outcomes for both distress companies and their creditors. This approach will significantly enhance the efficacy of the insolvency resolution process.

This study uses data from the Insolvency and Bankruptcy Board of India (IBBI) through March 2024. It analyses 7,567 cases admitted under the Insolvency and Bankruptcy Code (IBC), 2016, focusing on sectoral insolvency across various industries such as manufacturing, real estate, constructions, hotels and restaurants, wholesale and retail trade, electricity, transport, storage, communications and others. It analyses data-driven decision-making approach by using formulas to calculate the key metrics such as insolvency rate, recovery rate and haircut rate from a large data set.

The overall insolvency rate is recorded at 45.23% with nearly half of the cases resulting in either liquidation or resolution plans. Out of the total cases, 2,476 resulted in liquidation, while 947 were resolved through approved plans. The recovery rate is 32.08%, indicating that less than one-third of admitted cases have been recovered. The average haircut rate is 67.89%, indicating substantial reductions in claims to facilitate resolutions. This sectoral analysis reveals that certain industries such as real estate and manufacturing are disproportionately affected, emphasizing the necessity for targeted interventions.

This study’s lies in its sector analysis and use of comprehensive data, from March 2016 to March 2024 from the IBBI. This paper caters to a unique sector and brings a novel viewpoint and valuable insights to the existing literature on insolvency processes in India.