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Supply chain agility (SCA) is the primary strategy for reducing impacts and quick recovery when supply chains experience a disruption risk, such as the COVID-19 pandemic. This study will investigate how SCA can be achieved through supply chain information sharing (SCIS) under the different dependence relationships (DR) with suppliers or customers. The purpose of this paper is to investigate this issue.

Based on information process and resource dependency theories, this study constructs and empirically tests a proposed model of the relationships amongst the three dimensions of SCIS and the two areas of SCA and the contingency effects of two types of DR on those relationships. Using a dataset collected from 400 manufacturers in China, the authors tested this theoretical model using multi-group and structural path analysis.

The results of the structural path and multi-group analyses show that (1) all dimensions of SCIS are positively correlated with both areas of SCA and (2) dependence on the supplier and dependence on the customer have completely different impacts on the relationship between SCIS and SCA.

This study can improve the understanding of the multidimensional concepts of SCIS and SCA and relationships between them under two different DR conditions in the Chinese manufacturing setting. It contributes to IS and the SCA literature and provides theoretically driven and empirical explanations for the diverse dynamics between the dependence on the supplier and customer.

The purpose of this paper is to explore the role of demand management in achieving supply chain agility (SCA) through a multi-disciplinary review of the relevant research. The systematic literature review provides the basis for formulating a conceptual framework of the relationship.

A systematic, comprehensive review of the literature on manufacturing, marketing organizational and SCA from 1991 through 2013 was conducted. The literature on demand management is also examined to identify the various elements that contribute to SCA.

Most agility frameworks take a supply-side perspective and assume that demand is known. Those that do acknowledge the role of demand fall short of offering a holistic framework that acknowledges the role of both. This paper suggests that it is simply not enough to have flexible manufacturing, distribution and procurement systems to achieve SCA. Flexibility in managing demand is also needed. Furthermore, it is the premise of this paper that demand and supply integration (DSI) inside the firm is critical to achieving SCA.

This research is a systematic, integrative review of the existing literature on the concept of agility. As such, the next phase of research needed for theory building will be the operationalization of constructs and testing of the hypothesized relationships proposed by the conceptual framework.

The paper has several managerial implications as well. It illustrates how firms can create and sustain competitive advantages in turbulent environments. Managers can use the framework developed here to assess what structures and decision-making processes they can use to increase the firm’s SCA. Practitioners can use this model as a checklist to identify candidate areas for improving agility. The section illustrating the use of knowledge management to increase DSI should be of particular interest to managers, considering that a great deal of firms experience a disconnect between demand creation and supply fulfillment.

Through a systematic, comprehensive review of multi-disciplinary literature, the paper explores the role of demand management in achieving SCA.

The purpose of this study is to critically examine the scholarly articles associated with the diverse aspects of supply chain agility (SCA). The review highlights research insights, existing gaps and future research directions that can help academicians and practitioners gain a comprehensive understanding of SCA.

The present study has adopted author co-citation analysis as the research methodology, with a view to thoroughly investigating the good-quality articles related to SCA that have been published over a period of 22 years (1999-2020). In this study, 126 research papers on SCA – featuring diverse aspects of agility – from various reputed journals have been examined, analysed and assimilated.

The salient findings of this research are, namely, agility is different from other similar concepts, such as flexibility, leanness, adaptability and resilience; of the 13 dimensions of agility discussed in the literature, the prominent ones are quickness, responsiveness, competency and flexibility; literature related to SCA can be categorised as related to modelling the enablers, agility assessment, agility implementation, leagility and agility maximisation. This research proposes a more practical definition and framework for SCA. The probable areas for future research are, namely, impediments to agility, effective approaches to agility assessment, cost-benefit trade-offs to be considered whilst implementing agility, empirical research to validate the framework and SCA in the domain of healthcare and disaster relief supply chains.

This paper provides substantial insights to practitioners who primarily focus on measuring and implementing agility in the supply chain. The findings of this study will help the supply chain manager gain a better idea about how to become competitive in today’s dynamic and turbulent business environment.

The originality of this study is in: comprehensively identifying the various issues related to SCA, such as related concepts, definitions, dimensions and different categories of studies covered in literature, proposing a new definition and framework for SCA and identifying potential areas for future research, to provide deeper insights into the subject and highlight areas for future research.

The purpose of this paper is to investigate the relationship between geographical traits consisting of institutional traits and cultural traits, and supply chain agility in third-party logistics providers.

A theoretical model was developed and assessed through a structured questionnaire survey using cross-sectional data from 170 third-party logistics providers registered in Uganda. To validate the suggested model, data were analysed using exploratory factor analysis, correlations and regressions.

Correlation results revealed that all institutional and cultural geographical traits in the model, i.e. infrastructural frameworks, regulatory frameworks, organisational culture and national culture are positively and significantly associated with supply chain agility. However, a further analysis using regression revealed that regulatory framework and organisational culture are the only significant predictors of supply chain agility and together, all the four traits account for 28.1% variance in supply chain agility.

This study applies the institutional theoretical framework to provide an empirical understanding of the role of institutional and cultural factors in supply chain management practice. Furthermore, it confirms and expands on the existing theories about supply chain agility.

The findings provide firm ground for managerial decisions regarding emphasis on external factors in building firms' supply chain agility. Managers should scan the macro-environment and make conscious firm decisions regarding institutions and culture in certain geographical locations. The host countries should also be aware of their role in building firms' supply chain agility.

Distinctive from the literature on antecedents of supply chain agility, which predominantly focuses on the firm and supply chain capabilities, this study utilises the paradigm of institutional fit to empirically show how managers in a developing country wishing to build supply chain agility should not only focus on their supply chains and internal operations, but go beyond and consider geographical traits when making firm location and/or operational decisions for certain geographical contexts in order to achieve fit.

The main purpose of this study is to examine the role of delivery dependability and time to market, on the relation between the infrastructure framework and supply chain agility. Furthermore, the impacts of supply chain agility on firm performance are examined.

Data were collected from 113 respondents, senior executives and managers, in purchasing, operations, supplying, planning and other supply chain functions in large manufacturing firms in the MENA region, which includes 12 countries (Jordan, Lebanon, Egypt, Saudi Arabia, United Arab Emirates, Kuwait, Oman, Bahrain, Qatar, Morocco, Tunis and Algeria). A large-scale survey questionnaire was used for data collection process. The research framework was tested by using hypothesis-testing deductive approach. The results are based on covariance-based analysis and structural equation modelling using analysis of moment structures software.

The results show that infrastructure framework elements do not contribute significantly to support supply chain agility. It is also found that delivery dependability and time to market partially mediate the relationship between infrastructure framework elements and supply chain agility. Additionally, it is found that supply chain agility is associated with enhanced firm performance.

This paper provides an overview and empirically shows that delivery dependability and time to market are appropriate logistics practices for mediating the impact of infrastructure framework and supply chain agility. These relationships indicate a contribution to theory that explains how infrastructure framework elements can procreate supply chain agility, through the synchronising of appropriately matched logistics practices.

Today’s marketplace has witnessed intense competitive pressures and high levels of uncertainty and disruption. Therefore, supply chains require agility to obtain a sustainable competitive advantage and cope with uncertainties as well as disruptions. Although a wide range of studies exists on supply chain agility (SCA) from the perspective of antecedents or consequences, there is little research on the investigation of enablers of SCA and their relations among them. Furthermore, the literature has investigated proactive and reactive enablers for enhancing SCA, but most studies have not sufficiently framed their analysis of both aspects synchronically. This paper aims to find out the interrelationships among the proactive and reactive enablers for enhancing SCA.

An extensive literature review has been conducted to identify SCA enablers and a Delphi study has been performed to elucidate SCA enablers in the manufacturing industry in Turkey. Interpretive structural modeling (ISM) has been used to identify the contextual relationship among the SCA enablers, and the model has been validated based on Matriced Impact Croises Multiplication Appliquee a un Classement (MICMAC) analysis.

On theoretical and practical levels, the proposed ISM model in this study can help organizations analyze and interpret interrelationships among enablers of SCA. For managers, it can provide better insights and understanding of the facilitators of SCA to enhance the effectiveness of the supply chain and cope with uncertainties and turbulence. According to results, enhancing “supply and demand side competency”, “delivery speed” and “strategic sourcing” are the most significant enablers of SCA.

The study extends the existing literature related to the enablers of SCA by modeling the proactive and reactive enablers of SCA based on the Al Humdan et al. (2020) classification. Arranging the enablers of SCA in a hierarchy and classifying the enablers into different levels with the help of the ISM-MICMAC approach is an exclusive effort to achieve successful management of the supply chain.

The supply chain agility (SCA) is becoming a source of competitive differentiation but debate on its antecedents which can result in optimal firm performance is still non-pervasive in the literature. Taking this gap into consideration, the current research aimed at investigating various enablers of supply chain agility of Pakistani pharmaceutical industry.

The data were collected from 204 top executives working in different supply chain functions including planning, supplying, operations and purchasing in national and multinational pharmaceutical companies in Pakistan.

Through serial-mediation model, results revealed the strength of various SCA enablers, along with the mediating roles of delivery dependability.

This study adds in the literature on how various supply chain enablers and competencies help the organizations to achieve supply chain agility and performance, especially in a developing country.

Considering the unprecedented supply chain disruptions due to the COVID-19 pandemic, especially in the agri-food sector, the possession of dynamic capabilities (DCs) – particularly, the need for higher agility – seems to be the key to survival in highly uncertain environments. This study aims to use the dynamic capability view (DCV) theory to analyze how three key supply chain capabilities – organizational flexibility, integration and agility – should be combined to obtain the desired supply chain performance.

The authors designed a conceptual model in which the relationships between these three key capabilities and supply chain performance were hypothesized. The model was first tested through partial least square regression using survey data collected from 98 members of the Peruvian coffee supply chain. A fuzzy-set qualitative comparative analysis (fsQCA) was conducted to uncover how DCs could be combined in successful supply chain configurations.

The authors show that organizational flexibility is a driver of higher agility in agri-food supply chains, together with external and internal supply chain integration, that have a direct impact on agility, which positively affects supply chain performance. Higher levels of supply chain agility are necessary but insufficient to guarantee high performance, as sufficiency is reached when both integration (internal and/or external) and agility are present.

This study represents a pioneering attempt to apply the DCV theory to agri-food supply chains – characterized by many sources of uncertainty. All the DCs are included within the same model and the joint use of PLS regression and fsQCA provides evidence about the relationships between DCs and how they can empower agri-food supply to obtain the desired performance.

The impact of COVID-19 pandemic has been severely felt by India's construction industry, which contributes heavily to economic growth and employment. An analysis of the impact of supply chain agility, supply chain resilience and information technology capability on the construction supply chain cost and delivery performance is presented in this study in an Indian scenario post-COVID-19.

An analysis of moment structures-confirmatory factor analysis-based structural equation modeling is applied to a structured questionnaire received from 220 construction companies located in Southern India.

According to the results, supply chain agility, supply chain resilience and information technology capability are essential capabilities for post-COVID-19 supply chain performance. Furthermore, these factors are observed to have a positive impact on improving cost and delivery performance in construction supply chains focused on building sustainability.

The results of this study can be used by other industries to ensure robustness and sustainability of business operations during post-COVID periods. Improving supply chain agility and information technology capabilities along with building resilience results in improving cost and delivery performance against disruptive scenarios.

Despite previous studies addressing the effects of COVID-19 on supply chain performance, information technology capability, agility and resilience are not addressed in construction industry research. The current study examines the simultaneous effects of resilience, agility, and information technology capability on the cost and delivery performance of Indian construction projects.

This study aims to examine the effect of supply chain agility (SCA) on operational performance (OP) measurements of steel manufacturing firms. It also investigates the role of cost efficiencies concerning enhance OPs.

The study is based on an experimental research design by collecting data from responses 398 responses of key officials of India’s steel manufacturing firms. Analyses are carried to explore this modern concept with the help of Smart-partial least square (PLS) version 3.3.2 with confirmatory factor analysis and PLS structural equational modelling.

SCA factor (SCAF) directly has influenced the firm’s OP. It also represents cost efficiencies that have partial mediation between the SCAF and OP. The impact of cost efficiencies on OPs is strongly significant as compared to the impact of SCAF on cost efficiencies.

Management teams in the manufacturing industry should stress the role of SCA as a comprehensive concept in responding to market needs in a volatile environment. SCA reflects one of its winning strategies in today’s dynamic and competitive world. Managers must thoroughly know the ramifications of agility to develop a mechanism for determining the procedures and identifying inequality in SC operation.

This study speaks explicitly about the linkage between SCAF, OP, CE. It is an addition to the existing theories of RBV. Enhancements in OP measurements, specifically performance and flexibility, will lead to better firm performance. study conceptualizing the complementing effects of SCA (IS capability) and OPs and second cost efficiencies play positive partial mediating effect in between the link. The achievement of SC agile is especially a critical approach to Boost customer satisfaction and differentiate market position.