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This paper examines how firms of different sizes formulate and implement strategies to achieve fit with an external environment disrupted by a geopolitical event. The context of the study is the pharmaceutical industry and how it managed the supply chain uncertainty created by the United Kingdom's decision to leave the European Union, or Brexit.

Data were collected longitudinally from the pro-Brexit vote on 23 June 2016, until the UK’s departure from the EU on 31 January 2020. Twenty-seven interviews were conducted in the pharmaceutical sector, including nineteen interviews with senior managers at eight case companies and eight interviews with experts working for trade associations and standards institutes. The interview findings were triangulated with Brexit policy and strategy documentation.

When formulating strategy, multi-national enterprises (MNEs) used worst case assumptions, while large firms, and small and medium sized enterprises (SMEs) gathered knowledge as part of a “wait-and-see” strategy, allowing them to reduce perceptions of heightened supply chain uncertainty. Firms then implemented reactive and/or proactive strategies to mitigate supply chain risks.

The study elaborates on strategic contingency theory by identifying two important conditions for achieving strategic fit: first, companies deploy intangible resources, such as management time, to gather information and reduce perceptions of heightened supply chain uncertainty. Second, companies deploy tangible resources (supply chain redundancies, new supply chain assets) to lessen the negative outcomes of supply chain risks. Managers are provided with an empirical framework for mitigating supply chain uncertainty and risk originating from geopolitical disruptions.

Why do managers redesign global supply chains in a particular manner when faced with compounding geopolitical disruptions? In answering this research question, this study identifies a constrained system of reasoning (decision-making logic) employed by managers when they redesign their supply chains in situations of heightened uncertainty.

The authors conducted 40 elite interviews with senior supply chain executives in 28 companies across nine industries from November 2019 to June 2020, when the UK was preparing to leave the European Union, the US–China trade war was escalating, and Covid-19 was spreading rapidly around the globe.

When redesigning global supply chains, the authors find that managerial decision-making logic is constrained by three distinct environmental ecosystem conditions: (1) the perceived intensity of institutional pressures; (2) the relative mobility of suppliers and supply chain assets; and (3) the perceived severity of the potential disruption risk. Intense government pressure and persistent geopolitical risk tend to impact firms in the same industry, resulting in similar approaches to decision-making regarding supply chain design. However, where suppliers are relatively immobile and supply chain assets are relatively fixed, a dominant logic is consistently present.

Building on an institutional logics perspective, this study finds that managerial decision-making under heightened uncertainty is not solely guided by institutional pressures but also by perceptions of the severity of risk related to potential supply chain disruption and the immobility of supply chain assets. These findings support the theoretical development of a novel construct that the authors term ‘supply chain logics’. Finally, this study provides a decision-making framework for Senior Executives competing in an increasingly complex and unstable business environment.

This study aims to identify blockchain-related innovation trends that can improve trust networks in a smart city's transport and supply chain networks. Trust networks are crucial in building and maintaining the trust of citizens in smart cities. By promoting transparency and accountability, facilitating collaboration and innovation, enhancing citizen participation and protecting privacy and security, trust networks can help to ensure that smart cities are developed and implemented in a responsible and sustainable way. A systematic literature review identifies 60 conceptual and empirical studies. This research focuses on the current problems and developing procurement and supply chain strategy and the potential benefits of using blockchain in these areas. It suggests ways for the smart city's transport and supply chain networks to utilise blockchain to improve operations and supply chain strategy and identifies innovation trends related to blockchain. The study also includes a systematic literature review and Blockchain Transformation and Influence model as the basis to enhance trust networks in the supply chain.

The purpose of this paper is to identify the strategic options available to a weaker actor to counteract the dominance of a stronger actor in a buyer-supplier relationship, and identifies those factors that influence the choice of individual options.

Following a systematic literature review methodology, a five-phase approach of planning, searching, screening, extraction and synthesis was rigorously employed. In total, 48 studies were used to draw conclusions about the phenomena of interest.

Captured in an integrated conceptual framework, this study identified five strategic options available to the weaker actor in order to counteract a power dominance of a stronger player, which were underpinned by seven influencing factors.

The proposed conceptual framework requires first qualitative empirical validation using an abductive multi-case strategy, followed by a theory testing phase, employing a configurational approach.

The proposed framework suggested that the weaker actor in a buyer-supplier relationship has five options to address power dominance. These options were available within as well as beyond a focal dyadic relationship. For the stronger actor, the authors showed that power dominance is a temporary state rather than permanent.

This study marks one of the first attempts to present a coherent set of strategic options and underpinning factors to counteract power dominance in a buyer-supplier relationship from the perspective of a weaker actor. Given the underexplored nature of the topic, the study also provides guidelines for further research.

The coronavirus (COVID-19) pandemic has led to a surge in demand for health-care facilities, medicines, vaccines and other health-care items. The purpose of this study is to investigate different facets of integrated Green Lean Six Sigma and Industry 4.0 approach in the context of COVID-19 for better healthcare management. Integrating Green Lean Six Sigma (GLSS) and Industry 4.0 (I4.0) has the potential to meet the modern demand of health-care units and also leads to improving the quality of inpatient care with better safety, hygiene and real-time diagnoses. A systematic review has been conducted to determine the tools/techniques, challenges, application areas and potential benefits for the adoption of an integrated GLSS-I4.0 approach within health-care facilities from the perspective of COVID management. Further, a conceptual framework of integrated GLSS-I4.0 has been proposed for better COVID management.

To conduct the literature review, the authors used the preferred reporting items for systematic reviews and meta-analysis and covers relevant papers from the arrival of COVID-19. Based on the systematic understanding of the different facets of the integrated GLSS-I4.0 approach and through insights of experts (academicians and health-care personnel), a conceptual framework is proposed to combat COVID-19 for better detection, prevention and cure.

The systematic review presented here provides different avenues to comprehend the different facets of the integrated GLSS-I4.0 approach in different areas of COVID health-care management. In this study, the proposed framework reveals that the Internet of Things, big data and artificial intelligence are the major constituents of I4.0 technologies that lead to better COVID management. Moreover, integration of I4.0 with GLSS aids during different stages of the COVID management, right from diagnosis, manufacture of items and inpatient and outpatient care of the affected person.

This study provides a significant knowledge database to the practitioners by understanding different tools and techniques of an integrated approach for better COVID management. Moreover, the proposed framework aids to grab day-to-day information from the affected people and ensures reduced hospital stay with better space utilization and the creation of a healthy environment around the patient. This inclusive implementation of the proposed framework will enhance knowledge base in medical areas and provides different novel prospects to combat other medical urgencies.

To the best of the authors’ knowledge, this study is the first of its kind to review different facets of the integrated GLSS-I4.0 approach with a view of the COVID health-care perspective and provides a conceptual framework.

Corporate firms often follow their peer firms to articulate multiple financial decisions. Among the others, trade credit policy is a vital financial decision that can impart its dynamic role in achieving financial efficiency. Therefore, the current analysis aims to assess the role of herding behavior in determining the trade credit policies of corporate firms and its relevant effect on corporate financial performance.

For this purpose, the financial data of 13089 nonfinancial sector firms from 50 countries are employed and the dynamic generalized method of moments (GMM) model to estimate the regression is applied.

The empirical findings first reveal that corporate firms actively mimic their peer firms regarding trade credit policies. However, this mimicking behavior hampers the financial performance due to noncompatibility with peers’ trade credit policies. Peer firms often develop such trade credit policies that are not applicable to corporate firms.

Mainly, the findings of the study suggest two implications. First, it highlights the peer effect in terms of trade credit patterns. Second, it elaborates an adverse effect regarding financial performance due to herding of peers’ trade credit policies.

This study adds new thoughts regarding herding behavior in terms of trade credit policy and its possible consequences for corporate financial performance. No study explores such a relationship.

This study aims to identify the past, present and future lines of research in the supply chain resilience (SCRES) literature and to answer the question of whether resilience is “just another” supply chain (SC) concept or if it constitutes its own theory.

This study involves a bibliometric analysis of 1,596 research articles published in the Web of Science Core Collection™ database between 2004 and 2021, with a focus on: publications and citations per year, co-citations of articles and authors, co-occurrences of the keywords used and thematic development. Seven SCRES experts have also analysed and discussed the research results.

The results show how resilience has become one of the main thematic blocks of SC research in the aftermath of the COVID-19 pandemic, with a 62.04% increase in academic publications. Despite the abundant literature, there is still no overarching theory of SCRES. One possible hindrance to the creation of such a theory is the variety of existing definitions and models of SCRES. This research identifies this as a shortcoming that future studies should address. As the results show, the combination of SCRES with other fields, such as engineering and ecology, can help in constructing a global theory of SCRES.

Bibliometric analysis is used to confirm the SCRES literature gap in the development of an overarching theory, although resilience constitutes one of the main thematic blocks of the SC literature.

In the recent wake of environmental sustainability, more attention has been paid to the consumption of specific energy types. However, how the consumption of such energy alternatives influences multiple corporate-level decisions has not yet been well explored in the literature. The current analysis bridges this deficiency in literature by exploring the empirical relationship between energy alternatives and cash holdings.

For empirical analysis, the authors sample the non-financial sector enterprises founded in five BRICS economies and employ the system GMM and fully modified ordinary least square techniques to establish the regression. The selection of econometric techniques is subject to the existence of endogeneity and cointegration.

The estimated coefficients reveal a significant negative effect of renewable energy (REC) while a significant positive impact of non-renewable energy consumption (FFE) on cash holdings. Referring to low pollution emissions, less operational risk and a cheap source of energy, the more consumption of renewable energy reduces the motives of cash holdings. Primarily, the current analysis advocates an important policy regarding the utilization of renewable energy as industrial fuel inputs because it has a material impact on cash holdings and also ensures environmental sustainability.

This study has equal policy outputs for industry officials, policy regulators and environmental economists. Corporate managers should do more focus on transforming the energy needs from non-renewable to renewable as such transformation can benefit in terms of both, i.e. environmental sustainability and low cash holdings.

Contemporary literature mainly highlights the determinants of energy consumption. However, it is less known how the consumption of specific energy sources affects the firm's cash-holding decisions. Thus, this study enriches both energy economics and financial economics literature by offering cutting-edge evidence on the sustainable role of REC in declining cash holdings.

In the contemporary period, numerous businesses undergo significant adjustments, such as evaluating critical components of the corporate operations and relying on technology to keep operations running while conforming to an ever-changing set of norms and new tactics. The present study aims to (1) explore the relationship between Industry 4.0 (I4.0) tools and their impact on organizational performance and (2) find evidence supporting the moderating role of remote working and organizational agility (OA) in enhancing organizational performance.

The study employed the quantitative research method, and the data were collected from individuals working in different Asian IT firms using the previously established questionnaire. The data were examined using SPSS v22. Different statistical tests have been performed to find the relationship among constructs.

This study uncovers that I4.0 tools impact organizational performance, especially in the IT sector, with a particular emphasis on the moderating influence of remote work and OA. I4.0 tools encompass pivotal components such as artificial intelligence (AI), big data (BD), cloud computing (CC) and Internet of Things (IoT) indeed augment organizational performance. It can be referenced that I4.0 tools play the role of a driving force that equips organizations with the knowledge to augment their performance.

Companies should encourage remote work and use I4.0 technology to support and manage it. Enabling people to work from any location, lowering the requirement for physical infrastructure and enabling a more flexible and responsive organizational structure can increase OA. In conclusion, firms in Asia may increase the performance and agility using I4.0 technology. Organizations may innovate by putting money into these technologies, encouraging remote work and creating an innovative culture.

In this dynamic and technologically advanced environment, every industry is forced to look for latest tools, i.e. I4.0, tools to augment the performance. It has been concluded that I4.0 tools are “better practices” for boosting organizational performance; hence, the findings benefit firms working in the IT sector. The verdicts of this research can assist organizations in making decisions regarding the implementation of I4.0 tools.

To the best of the authors' knowledge, no specific study could be found in which the relationship among these constructs had been investigated earlier in the IT sector. This research work acts as value addition to the literature as it illustrates technological advancements may increase organizational performance, especially in Asia. This research work adds to the body of knowledge by amplifying the effect of latest technologies on organizational performance, via remote work and OA.