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The purpose of the paper is to contribute to the understanding of regional entrepreneurial development by constructing an institutional environment index in India, where high heterogeneity is found in the economic development and entrepreneurial activities across its states. It tries to fill the gap of research which hampers the effectiveness of policy efforts to promote job growth through entrepreneurship development in India and contributes in understanding the phenomenon why the relative contribution of entrepreneurship varies across states.

The paper uses a composite index of institutional quality based on the Penalty for Bottleneck (PFB) methodology to capture the institutional environment differences across the states of India. The relationship between the institutional environment and the measures of entrepreneurship is established through various statistical and econometric techniques such as correlation and regression.

The paper finds the regional and contextual institutional environment differences in India starker and more varied than is generally viewed. The empirical evidence suggests that the differences in institutional quality scores can play a significant role in explaining the variations in the extent of entrepreneurial activities across the Indian states. The findings of this paper demonstrate a differential influence of the local institutional environment on the entrepreneurial activities at a regional level in a developing economy like India.

This study is limited by the data sources and index design; therefore, it cannot completely specify all institutional factors and their combined influences on entrepreneurial activities at the regional level. However, it makes a significant contribution to expanding the current body literature of institutional environment reform and entrepreneurship development in developing countries.

The policy implication of the paper highlights the need of policymakers to think outside the individual policy silos and consider the institutional environment as a whole. Priority attention of the policymakers should be on the institutional reform for any type of entrepreneurship development. A corollary implication of the O-ring theory of development and the PFB methodology is that the policy effort is allocated most effectively when it seeks to alleviate bottlenecks.

The main implication of this paper for the policymaking is that it is necessary to focus more on the weak institutional factors (bottlenecks) and on the general environment improvement for any entrepreneurship development.

The study contributes to study the problem of entrepreneurship discrepancy in India through the lens of institutions and institutional environment. This study is an improvement over the previous studies by testing the statistical significance of the institutional environment on the entrepreneurship.

The chapters emphasise the importance of data management from the perspective of the business management process, where big data is the most crucial and pressing technical and business issue in the modern realm of technology. The same data has a significant influence on the current financial environment. Organisations are facing challenges in explicating complicated financial data manually and using it to drive their decision-making processes. Data-driven decision-making is a dominant tool for any professional. It enhances precision, alleviates risk, improves efficacy, aids financial management, offers customer insights, provides a competitive edge, supports strategic planning, enables performance tracking, fosters innovation and has predictive capabilities. The power of data makes the organisation more prosperous and resilient in the face of change. By making informed decisions based on data and analytics, organisations can unlock their full potential and achieve sustainable growth. The chapter suggests a data-driven culture in the organisation with the help of strategising in terms of data collection, analytics and data management by establishing governance and regulatory practices to ensure data security and integrity. The latter part covers the forecasting and transformative ability of data by integrating machine learning and deep learning models. The chapter also covers the visualisation perspective of the data by transforming the information into a visual setting, illuminating the hidden insights and making them tangible and relatable. The chapter closes with a suggestion for managers to stay competitive, make more reasoned and sound decisions and adapt to the evolving business environment.

This article shows operational excellence achieved during the coronavirus disease 2019 (COVID-19) pandemic using the Lean, Six Sigma and Sustainability practices in small medium enterprise (SME) manufacturing firms and its impact on the performance dimensions of efficiency, growth and profit for firms located in the industrial zones of Pakistan.

A quantitative methodology was used and data were collected from a sample of top-level managers from 28 SME manufacturing firms located in the five industrial zones in Pakistan. A total of 62 questionnaires were included in the study.

The findings show that awareness levels of Lean, Six Sigma and Sustainability are emerging, and firms are trying to implement these concepts. However, the results show that while Lean and Six Sigma enhance firms’ performance in terms of efficiency, profit and growth, sustainability has no impact on these three performance dimensions.

The quantitative data of a sample of 28 manufacturing firms inevitably present limitations on the generalizability of this work. Future research could employ greater quantitative data to explore the topic further. Only one particular country is studied so that future research could be carried out in other countries or regions.

This study may have value for policymakers and other stakeholders who need to know more about how Lean, Six Sigma and Sustainability affect a firm’s performance in industrial zones in the context of a developing country.

This paper contributes to knowledge in the field by integrating Lean, Six Sigma and Sustainability with firms’ performance during the COVID-19 pandemic by assessing efficiency, growth and profit dimensions where otherwise no empirical research has been undertaken in the Pakistani context.

This paper aims to explore the potential of blockchain technology (BT) to support the operational excellence in perishable food supply chain (PFSC) during outbreaks, by doing use-case analysis.

A systematic literature review is performed to determine the dimensions of operational excellence in the food supply chain (FSC), then a single use-case analysis is conducted to explore the potential of blockchain in order to achieve operational excellence for PFSC during the pandemics by applying context, interventions, mechanism and outcomes (CIMO) logic.

The findings of this study reveal that blockchain capabilities such as immutability and transparency, visibility, traceability, integration and interoperability, disintermediation and decentralisation, smart contracts and consensus mechanism provide better sustainable operational excellence outcomes for PFSCs to be more responsive, flexible, efficient and collaborative to cope with the impacts of COVID-19.

This research employs only one real case with multiple PFSC participants. Statistical generalisation is not possible at this stage of the research. However, the findings are not restricted to this single use-case.

This study provides a research direction to explore the potential of BT to achieve operational excellence in the PFSC during outbreaks and generates prescriptive knowledge for better managerial decision-making across the PFSC during outbreaks.

This research conducts semi-structured interviews with different participants in one blockchain ecosystem to understand multiple participants' perspectives of operational excellence within PFSC.

The present study aims to assess the role of supply chain resilience as an operational excellence approach to deal with disruptions caused by coronavirus pandemic in the food supply chain of an agri-food supply firm.

The case study method was used to analyse the disruptions faced by the agricultural food supply chain during the pandemic. The study applies a dynamic capability theory as a foundation to develop a contextualised resilience framework for agri-food supply chain to achieve operational excellence. The case has been analysed by using situation-actor-process (SAP) and learning-action-performance (LAP) framework.

The SAP aspect of framework points that the flexibility amongst actors for a resilient agriculture supply chain worsened due to the lockdown measures post COVID-19. The LAP aspect of framework suggests how resilience can be built at the supply, demand and logistics end through various proactive and reactive practices such as collaboration, coordination, ICT and ground-level inputs. Lack of commitment and inadequate support from top management towards supply chain resilience are also observed as significant challenges to maintain operational excellence during the pandemic.

One of the major implications of the study is that a mix of capabilities rather than a single capability can be the most appropriate way for making the supply chain resilient to maintain operational excellence during the pandemic. However, the sources of disruptions need to be duly recognised to derive the best-contextualised resilience framework for agri-food supply chains.

The development of a contextualised research framework as well as research propositions for analysing supply chain resilience are the major contribution of this study.

This study investigates the impact of supplier visibility on the adoption of sustainable practices and supply chain performance. The paper applies contingent Resource-Based View to explain how information sharing with customers and suppliers and supply chain traceability has influenced visibility; visibility has impacted supply chain velocity sustainable practices, and finally, supply chain performance.

This research analyses 263 survey responses from UK retail (grocery) stores' executives and managers for perishable food during the COVID-19 pandemic.

The research results indicate that both supply chain traceability and information sharing (customers) positively influence visibility. Further, visibility positively influences the adoption of sustainable practices and velocity, positively impacting supply chain performance. However, information sharing with the customer has no significant influence on performance, and information sharing with the supplier has no significant relationship with visibility.

This research is the first attempt that explores the contingent Resource-Based View for the perishable food supply chain. Further, the empirical evidence provides meaningful insights for academics and industry by filling a crucial lacuna in the literature.

In India, artificial intelligence (AI) application in supply chain management (SCM) is still in a stage of infancy. Therefore, this article aims to study the factors affecting artificial intelligence adoption and validate AI’s influence on supply chain risk mitigation (SCRM).

This study explores the effect of factors based on the technology, organization and environment (TOE) framework and three other factors, including supply chain integration (SCI), information sharing (IS) and process factors (PF) on AI adoption. Data for the survey were collected from 297 respondents from Indian agro-industries, and structural equation modeling (SEM) was used for testing the proposed hypotheses.

This study’s findings show that process factors, information sharing, and supply chain integration (SCI) play an essential role in influencing AI adoption, and AI positively influences SCRM. The technological, organizational and environmental factors have a nonsignificant negative relation with artificial intelligence.

This study provides an insight to researchers, academicians, policymakers, innovative project handlers, technology service providers, and managers to better understand the role of AI adoption and the importance of AI in mitigating supply chain risks caused by disruptions like the COVID-19 pandemic.

At the end of 2019, the first case of the Corona Virus Disease (COVID-19) was reported in Wuhan city of China. The disease was declared a pandemic without imagining the magnitude of damage currently caused in all branches of the economy. One of the most affected sectors was food and mostly perishable food (PF), which are more susceptible to environmental conditions. Thus, the research examines the effect of the COVID-19 outbreak on Ecuador's perishable food supply chains (PFSCs) during the pandemic. It contributes to new results on the special issue (SI) PFSC response to event risk and uncertainty, such as those that generated the pandemic.

The data used are from primary information sources, which were collected through a questionnaire. The questionnaire was applied to 298 companies belonging to the sector, and later the information was processed through partial least squares structural equation model. The convergent validity, discriminate and robustness tests provide arguments for the suitability of the model. Therefore, the findings are reliable and valid for the adequate measures to improve the PFSC due to a COVID-19 outbreak.

The results show that the perception of personal risk (PPR) produced by COVID-19 has caused the companies of the PFSC to adopt preventive policies (PO) to avoid contagion and guarantee the operation of the companies. In addition, the PPR has been responsible for the alterations in the demand and price (DP) of PF. Next, PO and DP have a significant effect on PFSC, which shows the evidence favouring the malfunction of PFSC operations due to anti-contagion PO, the mismatch of DP. On the contrary, circular economy practices contribute to the excellent performance of the PFSC. Finally, the research suggests some policy implications to consider in improving the PFSC.

This study is the first to be carried out in Ecuador's country on the PFSC; its contribution is unprecedented and makes it a road-map to be considered to guarantee the correct functioning of the PFSCs, and it will provide policymakers with valid elements to design efficient PFSCs that better respond to unforeseen events and uncertainties. Future research will focus on analysing the management of PF consumption in Ecuador during the pandemic.

The COVID-19 pandemic and the subsequent lockdown have hit the food service industry very hard. The COVID-19 outbreak has created a sharp downturn for firms in the food service industry, compelling actors across the whole food service supply chain to rethink their strategies. The purpose of this paper is to document the impact of COVID-19 on the food service supply chain, as well as to identify crisis management strategies food service firms use during the hectic early phase of the COVID-19 pandemic to survive the current and prepare for future pandemics.

We performed a qualitative descriptive study using 21 semi-structured interviews with actors across the food service supply chain (i.e. farmers, wholesalers and food service providers). Data were collected to shed light on food service firms' decision making during the hectic early phase of the COVID-19 pandemic to uncover various crisis management strategies used.

By integrating the disaster and crisis pyramid and resilience theory, four core crisis management strategies to respond to the COVID-19 pandemic are conceptualized, i.e. (1) managing resources, (2) diversifying strategically, (3) prioritizing long-term outcomes and (4) bonding socially.

The theoretical contributions include documenting the performance impact of the COVID-19 pandemic on the food service supply chain and exploring crisis management strategies food service firms employed during the hectic early phase of the COVID-19 pandemic. Thus, functioning and survival during a pandemic, an emerging field in literature, are central to this study. Additionally, while recent research suggests that integrating crisis management and resilience literature may provide a more complete understanding of the organization–crisis relationship, these literature streams mainly developed in isolation. By integrating the literature streams of crisis management and resilience and applying these theories to the COVID-19 crisis, our study provides specific managerial guidelines.

Pharmaceutical donations are a practical approach to increase medicine availability during disasters such as disease outbreaks. However, often donated pharmaceuticals are inappropriate and unsuitable. This convergence of inappropriate pharmaceuticals is a severe operational challenge and results in environmental hazards. This study explores the pharmaceutical supply chains (PSCs) during a disease outbreak to relieve the negative impact of the material convergence problem (MCP).

This study adopts a situation-actors-process learning-action-performance (SAP-LAP) linkage framework to understand the PSC dynamics. The problem-solving component of the SAP-LAP analysis provides the strategies catering to MCP. The findings from the SAP-LAP helped to develop the causal loop diagram (CLD). This study conducts several experiments on the proposed strategies by integrating CLD into a stock and flow diagram. Later, a disease outbreak case study accessed the pharmaceutical donations effect on PSC performance.

The study synthesises and evaluates propositions and strategies to incorporate circular economy (CE) principles in PSC. This study proposed two strategies; one to sort and supply and the other to sort, supply and resell. The reuse policy improves humanitarian organisations' finances in the simulation study. This study verified the operational improvement of PSC by reducing the transport and storage burden due to MCP.

This study comprehensively approaches the issue of drug donation and uniquely produced several propositions for incorporating a CE perspective in PSC. The study also proposed a unique simulation approach to model the donation arrivals in response to a disease outbreak using susceptible, exposed, infectious and recovered modelling.