Firm innovation and supply chain resilience: a dynamic capability perspective

Modelling capability factors of logistics industry based on ISM-MICMAC

Supply chain disruptions and global pandemics have revealed vulnerabilities within the logistics industry in recent years. Consequently, there has been a growing emphasis across various industries on enhancing logistics capabilities. The focus on improving logistics performance through capability factors has shifted the paradigm toward prioritizing these factors. In light of this transition, this study develops a structural model to identify the logistics capability factors (LCFs) that contribute to logistics performance. To define the interrelationships and interdependencies among LCFs, expert-based interpretive structural modeling (ISM) combined with cross-impact matrix multiplication applied to classification (MICMAC) is used. A complex ISM model and a MICMAC diagram, based on driving and dependency power, are constructed to determine and categorize LCFs. The findings indicate that the demand management interface (DMI) of service capability is a pivotal factor in enhancing logistics capability, followed by the significance of information management and technological innovation capabilities. The results of this study have several implications for understanding the relationships among LCFs and for extending knowledge through the application of the ISM-MICMAC technique. Both theoretical and managerial insights are highlighted, providing guidance for supply chain leaders and operational managers.

An empirical examination on firm innovativeness and supply chain resilience: The role of information sharing from a dynamic capabilities view

Supply chain disruptions present an existential threat to firms in today's highly competitive global economy. To appropriately thwart and mitigate this threat, firms must innovate capabilities that enhance and properly balance investments in their supply chain resilience posture. This study investigates the importance of information sharing and its interactive influence on firm innovativeness and resilience. This study uses a survey and partial least squares multigroup analysis to empirically test a theoretical model grounded in dynamic capabilities theory. Contributions from this study highlight that regardless of firm size, firm innovativeness is a significant antecedent to supply chain resilience. Key findings show that small firms use information sharing, whereas large firms do not, with their suppliers to accelerate innovation efforts in developing supply chain resilience capabilities. This study extends knowledge in the field by providing insights enabling large firms to improve their information sharing efforts to enhance innovation activities.

Corporate social responsibility and sustainability practices: mediating effect of green innovation and moderating effect of knowledge management in the manufacturing sector

Purpose

This study aims to examine the roles of corporate social responsibility (CSR), green innovation (GI) and knowledge management (KM) in boosting sustainable practices (SPs). It also investigates the mediating effect of green innovation and the moderating effect of KM in the relationship between CSR and SPs.

Design/methodology/approach

Using measurement scales adapted from existing studies, a quantitative methodology with causal and deductive reasoning was used on data from an online survey with 322 respondents in manufacturing firms in the United Arab Emirates.

Findings

There was no direct significant positive relationship between CSR and SPs; the mediating role of GI was evident, whereas the moderating role of KM was not present.

Research limitations/implications

Only manufacturing enterprises are considered in this study, with a single geographical case study highlighting CSR efforts.

Practical implications

The findings reveal the positive influence of GI on CSR and SPs. This study contributes to the understanding of the influence of green processes and product innovation on applying social, environmental and sustainability practices to enhance the overall productivity, compliance, performance and well-being of the community.

Originality/value

This study collectively explores the causal relationships between these factors, besides offering new insights into the manufacturing industry in an emerging market.

System dynamics model for an agile pharmaceutical supply chain during COVID‑19 pandemic in Iran

Unpredictable changes in the current business environment have made organizations pay attention to the concept of agility. This concept is a key feature to survive and compete in turbulent markets while considering customers' fluctuating needs. An organization's agility is a function of its supply chain's agility. The present study offers a System Dynamics (SD) model for Iran's Pharmaceutical Supply Chain (PSC). The model is presented in three steps. First, the Supply Chain (SC) indicators were extracted based on theoretical foundations and literature review results. Second, an SD model of the PSC was extracted in the context of the COVID‑19 pandemic with the necessary analyses. Finally, the desired outputs and strategies were obtained by conducting a case study. The results indicated that the PSC's highest agility could be guaranteed by the simultaneous implementation of three strategies: investment, Human Capital Development (HCD), and accelerated completion of ongoing projects on a priority basis. According to these results, the organization had better determine the amount of capital and workforce required for ongoing projects, then design funding solutions to implement these projects and implement them according to the projects' priority.

Enterprise resilience to the COVID-19 pandemic: The role of business environment

Enterprise resilience captures enterprises' ability to survive and develop under uncertainties and shocks. Taking the shock of COVID-19 as an example, this paper employs a unique firm-level national survey dataset collected from a sample of nearly 40,000 Chinese private enterprises in 2020 to systematically explore the relation between local business environment and enterprise resilience. Our estimation results using ordered probit model indicate that favorable business environment can significantly enhance enterprise resilience and mitigate the shock of COVID-19 on firm performance. Mechanism analysis further shows that enterprises under better business environment generally have greater resilience as the result of timely and effective government support, reliable supply of production factors and logistics service, and lower levels of financial constraints. Our study deepens the understanding of the economic consequences of business environment and also sheds a new light on enterprise resilience enhancement.

Digital transformation, technological innovation, and operational resilience of port firms in case of supply chain disruption

To investigate how the digital transformation of port firms improves their operational resilience, we design methods to measure their digital transformation grade (DTG), technological innovation capacity (TIC), and port operational resilience (POR) respectively. Based on 3586 samples retrieved from 334 Chinese port firms from 2011 to 2021, their relationships are statistically described and preliminarily regressed by an ordinary least-squares model and a fixed-effect model. After testing the effects of supply chain disruption, endogeneity, and robustness, we reveal that digital transformation improves firms' competitiveness and operational resilience by coordinating human resources, information, and technology. We confirm that TIC plays an intermediate role and an adverse event has an enhancement effect. An inverted-U curve between DTG and POR proves that port firms often suffer growing pains at the initial stage and their POR will be promoted by continuous digital inputs, but the leading port firms would gain fewer marginal benefits.

Achieving organizational performance by integrating industrial Internet of things in the SMEs: a developing country perspective

Purpose

This research investigates the adoption of the industrial Internet of things (IIoT) in SMEs to achieve and increase organizational performance. With the latest technology, small and medium-sized enterprises (SMEs) can create a competitive edge in the market and better serve customers.

Design/methodology/approach

Twelve hypotheses are proposed for this study. This study constructed a questionnaire based on technological, organizational, environmental and human perspectives. A survey is conducted on the SMEs of India using the questionnaire.

Findings

Eight hypotheses were accepted, and four hypotheses were not supported. The hypotheses rejected are infrastructure, organizational readiness, internal excellence and prior experience. The findings suggested that adopting IIoT in SMEs will increase organizational performance.

Research limitations/implications

This study will be helpful for the manager, top management and policymakers. This study identified the areas SMEs need to work on to adopt the technologies.

Originality/value

In the literature, no article considered IIoT adoption in SME firms as a human factor. Therefore, this study is unique, including human, technological, organizational and environmental factors.

Digital transformation of supply chain: a study on additive manufacturing practice in medical device in Australia

Purpose

Drawing on a dynamic capability view, this study develops a decision support model that determines the most suitable configuration of strategies and challenges to adopt additive manufacturing (AM) to expedite digital transformation and performance improvement of the surgical and medical device (SMD) supply chain.

Design/methodology/approach

To investigate the research objective, a multi-method and multi-study research design was deployed using quality function deployment and fuzzy set qualitative comparative analysis.

Findings

The study finds that only resilience strategies or negation (i.e. minimisation) of challenges are not enough; instead, a configuration of resilience strategies and negation of challenges is highly significant in enhancing performance.

Practical implications

SMD supply chain decision-makers will find the decision support model presented in this study as beneficial to be resilient against various challenges in the digital transformation of service delivery process.

Originality/value

This study builds new knowledge of the adoption of AM technology in the SMD supply chain. The decision support model developed in this study is unique and highly effective for fostering digital transformation and enhancing SMD supply chain performance.

The effect of supplier sustainability risk management strategies on supply chain performance

Purpose

This study aims to evaluate the adoption of four types of supplier sustainability risk management (SSRM) strategies, namely, risk avoidance (RA), risk acceptance (RAC), collaboration-based risk mitigation (CBM) and monitoring-based risk mitigation (MBM) in Sri Lankan apparel and retail industries, and to investigate their effect on supply chain performance (SCP).

Design/methodology/approach

This study uses the dynamic capability view (DCV) to develop its hypotheses. Data collected from 89 firms were analysed using partial least square (PLS) structural equation modelling and PLS-based multiple group analysis.

Findings

Sri Lankan apparel and retail firms adopt RA and MBM strategies relatively more than CBM and RAC strategies, whereas there is no significant difference between the two industries in terms of the use of SSRM strategies. The path analysis revealed significant effects of RA and RAC strategies on SCP of both industries. The effect of CBM strategy on SCP is moderated by industry, while MBM has no significant impact.

Research limitations/implications

While managing supplier sustainability risks effectively, RA and RAC strategies provide more opportunities for managers to improve SCP. In achieving SCP, CBM strategies are proven to be more effective for retail industry compared with the apparel sector. Although MBM strategies offer sustainability advantages to firms, their contribution to improving the performance of apparel and retail supply chains is not significant. This research is limited to only two industries (apparel and retail) in Sri Lanka, where the evidence for the effects of SSRM strategies is not available for other contexts.

Originality/value

Either the effects of the four types of SSRM strategies on SCP or the moderating effect of industry on these effects have not been empirically confirmed in the literature. Evaluating the extent to which different strategies are implemented in Sri Lankan apparel and retail industries is another significant contribution of this research. Furthermore, this study contributes by using DCV to a sustainability-based supply chain risk management research.

Linking entrepreneurial orientation and supply chain resilience to strengthen business performance: an empirical analysis

Purpose

This study examines the interactions between entrepreneurial orientation, supply chain resilience (SCRES) as well as the financial and commercial dimensions of business performance.

Design/methodology/approach

Drawing on a literature review, the authors develop a research model to identify positive relationships between five specific dimensions of entrepreneurial orientation, SCRES and business performance based on the dynamic capabilities view. The hypotheses are then empirically validated by applying partial least squares structural equation modeling (PLS-SEM) on survey data obtained from a questionnaire and 168 global companies.

Findings

The results partially support the hypotheses and suggest that entrepreneurial activities complement the resilience of supply chains to sudden disruptions and therefore also foster competitive advantage.

Originality/value

The relationships between entrepreneurial orientation, SCRES and business performance are examined and validated empirically in a single model, bridging the gap between these distinct research streams and shedding further light on supply chain risk management.

Green, resilient, agile, and sustainable fresh food supply chain enablers: evidence from India

The existing research on fresh food supply chains (FFSC) sustainability consisting of fur fundamental pillars, namely green (G), resilient (R), agile (A), and sustainability (S) (hereafter GRAS), is explored sparsely and needs thorough investigation. Further, conceptualization and mutual interactions among GRAS enablers that can help perpetuate sustainable supply chains (SSC) still need to be addressed. This study proposes a methodological framework to evaluate the SCS from the perspective of GRAS enablers with an application for the Indian FFSC. A mixed-method sequential approach was used with interviews followed by integrated fuzzy interpretive structural modelling-decision-making trial and evaluation laboratory (FISM-DEMATEL) techniques. The study recognizes twenty supply chain sustainability (SCS) enablers through an extensive literature review and discussions with the expert group. The research discloses that the firms' 'organization culture' acts as the most powerful driver in achieving sustainability in FFSC, followed by the firms' 'environmental certification program' and 'financial strength.' This investigation helps the managers/policymakers of the Indian FFSC to ascertain and comprehend the most significant SCS enablers to achieve sustainability in the supply chain (SC). The causation of SCS enablers supports the managers in systematically focusing on the most significant enablers and working towards their successful implementation. According to our knowledge, this is the first scholarly work that establishes hierarchies and interrelationships among GRAS enablers, thereby providing a holistic picture to decision-makers while adapting such practices.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10479-023-05176-x.

A responsiveness metric for the design and planning of resilient supply chains

Supply Chain Management is in constant evolution, and Supply Chain Resilience (SCR) appears as a recent offspring result of changes in how companies do business. Research efforts on the topic have led to a focus on the basic concepts of SCR, leaving a relevant research gap on the modelling and quantification of the SCR behaviour. In fact, there is not yet a consensus on SCR metrics or on how to quantify SCR. Most SCR models fail to incorporate relevant characteristics of the supply chain's performance, as are the impacts perceived by downstream customers. This work addresses such gaps, and a new resilient SC metric is proposed, which is incorporated into a developed optimisation model, where economic and responsiveness objectives are maximised when designing and planning resilient SC considering all SC entities. The model is applied to a case study that shows that decision-makers should avoid adopting universal strategies when managing their SC and instead should define the best plan for their SC operation. The impacts perceived by downstream customers are analysed. Moreover, it can be concluded that there is a correlation between the SC performance and the new SCR metric, easing the process of designing and planning the SC when resilience concerns are at stake.

Managing tensions in resilience development: a paradox theory perspective on the role of digital transformation

Purpose

The study aims to identify the central paradoxical tensions existing in developing resilience in organisations. The main thrust of this study is to develop a thorough understanding of diverse conflicting tensions in building resilience and develop the possible strategies to surmount these tensions.

Design/methodology/approach

Using the case study approach, the study applied theory-elaboration strategy as this study is based on well-established literature from both digitalisation and resilience. The study uses the paradox theory lens in a case study to reconcile both theories with contextual idiosyncrasies.

Findings

The paradox theory lens provides perspectives to understand tensions during resilience development and the role of digital transformation in this process. It assesses the potential solutions for surmounting tensions in resilient operations. The mapping of workable solutions with different paradoxes and propositions has been proposed for future empirical research.

Research limitations/implications

The study suggests that practitioners should not consider resilience and sustainability as mutually exclusive; instead, managers must embrace ongoing tensions to bring solutions to address these two essential organisational priorities.

Originality/value

To the best of the authors' knowledge, this is the first empirical study that applies paradox theory to understand how an organisation can build resilience while confronting several paradoxes. The study findings support that resilience practices can move in tandem with environmental sustainability goals rather than being usually mutually exclusive.

Covid-19 in Central America: Firm resilience and policy responses on employment

This paper examines how government support interacts with firm-level resilience capabilities in the reduction of layoffs among formal firms in Central America. Our analysis suggests that government support measures play a role in reducing the probability of layoffs among firms with only dynamic resilience capabilities (i.e., those that are developed after the pandemic onset). The effect of government support is not statistically different from the effect of static resilience capabilities alone (i.e., those that were present before the pandemic); thus, in firms with such capabilities, the effect of government support will be marginal. These results hold across sectors - exhibiting a marginally higher treatment effect in service sectors. Our results do not imply that Covid-19 supportive measures are to be disregarded, but instead raise the question of how government support policies could improve the allocation of support among firms in times of crises. Moreover, it underlines the necessity of policies that enhance resilience more broadly - a task that hints at structural issues and requires continuous government support in lieu of ad-hoc measures.

Procurement system for resilient supply chain amid the COVID-19 pandemic: systematic literature review

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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

Originality/value

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.

A resource-based perspective of the interplay between organizational learning and supply chain resilience

Purpose

The aim of this article is to shed light on the impact of intangible resources, such as organizational learning (OL), organizational agility (OA) and organizational innovativeness (OI), on supply chain resilience (SCR). For this, a theoretical model is developed to analyze the development of relationships between chosen resource variables.

Design/methodology/approach

This study is based on a cross-sectional questionnaire. Survey data were collected from 180 businesses including only medium to senior level managers to ensure a thorough understanding about the company's inner workings and supply chain (SC). The validity of the model is determined using structural equation modeling (SEM) and tested using lavaan package in R.

Findings

The findings indicate a statistically significant relationship between OL and SCR. Two organizational resource constructs, OI and OA, are found to have a strong mediating effect on this relationship. OL ability mediated by OA and OI results in increased SCR.

Research limitations/implications

The data cover multiple sectors but are collected from one country. The dataset is also limited in that it is collected from mid- to high-level managers working on manufacturing and supply chain-related departments.

Practical implications

The authors believe that the results of this study will guide both managers and academics in developing effective measures to avoid SC disruptions due to the Covid-19 pandemic or other comparable risks.

Originality/value

This is the first study that examines the relationship between OL and SCR. Prior studies have examined the relationship between OA and SCR. However, OL and OI, in particular, have not featured frequently in SCR-related studies. In this regard, this research is also unique in that it examines the mediating role of OA and OI in the relationship between OL and SCR.

Capabilities for enhancing supply chain resilience and responsiveness in the COVID-19 pandemic: exploring the role of improvisation, anticipation, and data analytics capabilities

Purpose

This study aims to identify critical capabilities to address unforeseen and novel disruptions, such as those instigated by COVID-19, and explore their role as essential enablers of supply chain resilience and responsiveness, leading to improved performance.

Design/methodology/approach

The structural equation modeling technique was employed for analyzing the proposed associations using survey data from 206 manufacturers operating during the COVID-19 pandemic in a developing country, Pakistan.

Findings

Key findings show how improvisation and anticipation act distinctly yet jointly to facilitate supply chain resilience and responsiveness during the COVID-19 pandemic. Also, data analytics capability positively affects anticipation and improvisation, which mediate the effect of data analytics on supply chain resilience and responsiveness.

Research limitations/implications

The findings contribute to the theoretical and empirical understanding of the existing literature, suggesting that a combination of improvisation, anticipation and data analytics capabilities is highly imperative for enhancing supply chain resilience and responsiveness in novel and unexpected disruptions.

Originality/value

This is the first study to examine the impact of data analytics on improvisation and anticipation and the latter as complementary capabilities to enhance supply chain resilience and responsiveness. The empirical investigation explores the interplay among data analytics, improvisation, and anticipation capabilities for enhancing supply chain resilience, responsiveness, and performance during the unforeseen and novel disruptions, such as brought to bear by the COVID-19 pandemic.

How to enhance supply chain resilience: a logistics approach

Purpose

Logistics capability is an important enabler of supply chain resilience (SCR). However, few studies have analyzed the underlying influence mechanism of logistics capability on SCR in extreme conditions, such as those of the COVID-19 pandemic. The purpose of this study is to increase understanding of the role of logistics capabilities in constituting a resilient supply chain.

Design/methodology/approach

Drawing upon the dynamic capability perspective and contingency theory, the proposed conceptual framework aims to demonstrate the relationship between a firm's logistics capabilities and SCR. Furthermore, the conceptual framework is illustrated by empirical evidence from a case study of a Chinese manufacturing company, which focuses on extracting practical lessons from the COVID-19 pandemic.

Findings

The findings suggest that digitalization, innovativeness, and modularization comprise potential mediating pathways for firm logistics capability to affect SCR and government policies, risk management culture, trust and cooperation moderate the effect positively. The potential associations are identified and elucidated by detecting the corresponding strategies and practices of a Chinese manufacturer that performed well amid the COVID-19 pandemic.

Practical implications

This study provides specific guidelines for logistics managers to enhance SCR during the COVID-19 pandemic. Seeing SCR as a dynamic capability, the framework is also instructive for manufacturers, supply chain members, and policymakers to achieve the sustained competitive advantage of supply chains.

Originality/value

The findings expand the understanding of enhancing SCR in a logistics approach. The empirical validation of propositions in the case study reveals a new vista for research on SCR.

SMEs navigating COVID-19: The influence of social capital and dynamic capabilities on organizational resilience

Building the resilience capacity of businesses is important for economic, social and community recovery during the COVID-19 pandemic, yet organizational resilience is under-examined in the marketing literature. Crises and disasters can significantly impact small and medium enterprises (SMEs), affecting their ability to mitigate, respond and recover. Social capital (SC) is a key resource that can be mobilized by SMEs to tap the resources embedded in internal and external relationships to respond to disruptions, yet the mechanism through which SC facilitates organizational resilience is not clear. Using middle-range theorizing, we propose dynamic capabilities (DC) as the key sensing, seizing and reconfiguration resources that transform SC into organizational resilience. The results from a sample of SMEs (n = 419) in Australia and New Zealand demonstrate that internal SC has a positive effect on external SC (customer-focused). Only internal SC has a direct effect on organizational resilience. DC partially and fully mediates the relationship between internal and external SC and organizational resilience respectively. Implications for theory and practice are offered.

Optimizing firm's supply chain resilience in data-driven business environment

Purpose

This study aims to investigate the impact of a firm’s supply chain capabilities on supply chain resilience, and the impact of supply chain resilience on sustainable supply chain performance in a data-driven business environment. The study also aims to explore the function of supply chain resilience in mediating the relationship between a firm’s supply chain capability and sustainable supply chain performance.

Design/methodology/approach

Primary data were acquired through a survey of 310 managers of small- and medium-sized businesses in a variety of industries across Bangladesh. The data were analyzed using partial least squares structural equation modeling.

Findings

A firm’s supply chain capabilities include information technology, leadership and collaboration. Supply chain capability is positively associated with supply chain resilience. The resilience of a firm’s supply chain is also positively correlated with its sustainable supply chain performance. Supply chain resilience plays a mediating role in the relationship between a firm’s supply chain capabilities and its sustainable supply chain performance.

Research limitations/implications

This study provides a theoretical contribution by corroborating practical knowledge focusing on firms’ supply chain capability, supply chain resilience and sustainable supply chain performance by using a resource-based view and dynamic capability theory – a relevant and unexplored subject in the supply chain literature – and proposes several opportunities for future research.

Practical implications

The results highlight the study’s managerial and social relevance from the perspective of firms in developing countries. As firms shift toward an online environment, managers and decision-makers need to make strategic decisions, as they did to overcome the challenges presented by COVID-19.

Originality/value

The study’s findings demonstrate that firms’ supply chain capabilities can be leveraged to increase supply chain resilience. Firms’ resilience during COVID-19 allowed them to avoid losses and to improve their supply chain’s sustainable performance. To the best of the authors’ knowledge, their complex higher order model is a unique contribution to the literature on firms’ supply chain capability and extends previous research on this topic.

Multi-dimensional supply chain flexibility and supply chain resilience: the role of supply chain risks exposure

Natural disasters and unexpected disruptive events have forced practitioners and researchers to build resilience capability into their systems to survive and grow in tempestuous and turbulent times. This study empirically examined the effect of multi-dimensional supply chain flexibility (MDSCF) in improving supply chain resilience (SCRES) under a high supply chain (SC) risk environment. The study incorporated a survey technique and utilized valid responses from 191 large-scale manufacturing (LSM) firms of Pakistan. PLS-SEM is employed to analyze the hypothesized relationships. The findings indicated that MDSCF significantly contributes to improving SCRES. Moreover, the study shows strong significant moderating effects of the customer-oriented and external risks and the weak moderating effect of supplier-oriented risks towards augmenting SCRES. The study contributes to the SC (SC) risk management literature by providing empirical support for the need for multi-dimensional SC flexibility measures in bolstering SCRES under the high SC risk environment.

Analyzing organizational barriers towards building postpandemic supply chain resilience in Indian MSMEs: a grey-DEMATEL approach

Purpose

This study aims to identify the barriers to building supply chain resilience and assess the contextual relationship between them in the Indian micro, small and medium enterprise (MSME) sector for the post COVID-19 era.

Design/methodology/approach

Barriers to supply chain resilience were extracted from the extant literature and were evaluated using the grey sets and Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach from strategic, tactical and operational business perspectives. The responses from experts on the identified barriers were collected through a structured questionnaire. The prominence-net effect results obtained after the DEMATEL application helped identify the most prominent barriers, their net cause and effect, and their correlation with each other.

Findings

A total of 16 barriers to resilience, identified from the literature, were considered for analysis. The findings of the study revealed that the lack of flexibility is the most critical causal barrier to building a resilient supply chain. Lack of planned resource management was also found to be an influential barrier. The study also identified the supply chain design, need for collaboration and technological capability as important factors for the MSME sector to focus on.

Research limitations/implications

The study is limited to assessing barriers to the supply chain resilience of MSMEs in India. More extensive research may be needed to reveal the global trend.

Practical implications

The study is significantly important for the MSMEs looking to establish resilient supply chains. Managers can use the findings to identify the weak links in the supply chain for strategic and tactical planning and can take corrective actions.

Originality/value

The study pinpoints the key linkages between barriers that impede MSMEs to make their supply chains resilient and robust to mitigate the impact of future disruptions and adversities. The work may be used by practitioners to further their attention on the significant challenges.

The Impact of Dynamic Accounting Information System on Organizational Resilience: The Mediating Role of Business Processes Capabilities

For decades, one of the main concerns of both practitioners and academics has been the business value of dynamic accounting information systems (DAIS). A number of studies have demonstrated the positive effects of information systems capability on overall organizational performance, but our understanding of the business processes capabilities through which such gains are achieved remains limited due to a lack of focus on the turbulent business environment. As a result, the research on information systems continues to debate such a connection. The role of business process capabilities in modulating the link between dynamic AIS capability and organizational resilience was investigated in this study. Our results show that, while firm-wide dynamic AIS capability has characteristics of flexible AIS, complement BI system, and AIS-related human resource competency, the impact on organizational resilience is positively affected by mediation of business process capabilities based on 144 matched questionnaires selected from large companies from various sectors listed on the Bursa Malaysia. Our results also suggest that dynamic AIS capability has an impact on organizational resilience. According to the Resource-Based Theory (RBT) and dynamic capabilities view (DCV) viewpoints, there is a link between dynamic AIS and business process capacity to improve organizational resilience. The findings strongly support the claim that an organization’s dynamic AIS capabilities—both flexible AIS, complementary business intelligence (BI) system, and AIS-related human resource competency—can help an organization improve its resilience. This research’s practical and theoretical ramifications as well as its limitations are examined.

Capturing Emerging Business Opportunities through Entrepreneurial Orientation and Innovation Behavior: The Moderating Role of Leader-Member Exchange

In the changing market environment due to the fourth industrial revolution, entrepreneurial orientation and innovation can accelerate the company’s sustainable growth, and performance improvement through the mutual relationship between leaders and members is essential. This study investigated the effect of the innovation behavior of entrepreneurial orientation on job performance by focusing on the conditional indirect effect of leader-member exchange (LMX) in the mediated relationship. To this end, research data were collected from 324 employees from different SMEs in South Korea. Based on the results, entrepreneurial orientation had a positive effect on innovation behavior and job performance. In addition, it was found that innovation behavior had a positive effect on job performance and partially mediated the relationship between entrepreneurial orientation and job performance. LMX showed a conditional indirect effect in the mediated model and moderated the relationship between risk-taking and job performance. The results have significant implications for SMEs pursuing entrepreneurial orientation, which was discussed. This study has significant implications in that high performance can be achieved by realizing the importance of employees’ innovation behavior and LMX within the company for sustainable management.

Facing COVID-19 challenges: What is so special in family businesses?

Purpose

This study aims to explore the main drivers that family businesses possess to strengthen their resilience during the COVID-19 crisis.

Design/methodology/approach

This study followed a quantitative method analysis through a multiple regression analysis based on a sample of 570 Italian family firms.

Findings

The results showed that job quality and innovation significantly stimulate family firms' resilience during the COVID-19 crisis.

Practical implications

The study has several academic implications. Firstly, the study contributes to family firm research by extending the studies on factors that significantly influence the concept of resilience; secondly, the work contributes to crisis management, offering suggestions to help other firms exceed the COVID-19 crisis.

Originality/value

The present study clarifies the role of family firms' resilience, and it reveals how job quality and innovation play a meaningful role during the COVID-19 crisis.

Big data analytics capability and supply chain performance: the mediating roles of supply chain resilience and innovation

Purpose

Big data analytics (BDA) capabilities can affect supply chain performance in several ways. The main purpose of this study was to understand how BDA capabilities could affect supply chain performance through supply chain resilience and supply chain innovation.

Design/methodology/approach

The study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. Accordingly, 187 responses were collected and analyzed using partial least squares (PLS) in the SmartPLS3.

Findings

The results showed that BDA capabilities improve supply chain performance through resilience and innovation of the supply chain.

Originality/value

The present study also contributed to the existing literature by demonstrating the mediating role of supply chain resilience and supply chain innovation between BDA capabilities and supply chain performance. In this context, some theoretical and managerial implications were proposed and discussed.

Modelling the strategies for improving maturity and resilience in medical oxygen supply chain through digital technologies

Purpose

Improving the medical oxygen supply chain (MOSC) is important to cope with the uneven demand and supply seen in the MOSC when India faced the second wave of COVID-19. This improvisation increases the supply chain (SC) maturity and consequently the efficiency and resiliency to tackle oxygen shortage across the country and to prevent another similar scenario from ever happening. The purpose of this study is to identify and prioritize the solutions to overcome the issues faced by the MOSC during the second wave of COVID-19 cases in India and in turn reduce the extent of casualties in the expected third wave.

Design/methodology/approach

This paper uses best worst method (BWM) and fuzzy technique for order performance by similarity to ideal solution to classify the sub-criteria for solutions to solve major SC issues. BWM is used to determine the weights of the sub-criteria and fuzzy technique for order performance by similarity to ideal solution for the final ranking of the solutions to be adopted.

Findings

The result of this study shows that the Internet of Things based tagging system is the best solution followed by horizontal and vertical integration of SC in making a resilient and digitized MOSC capable of handling general bottlenecks during a possible third wave.

Research limitations/implications

The research provides insights that can enable the personnel involved in MOSC. Proper understanding will help the practitioners involved in the SC to effectively tailor the operations and to allocate the resources available in an effective and dynamic manner by minimizing or eliminating the pre-existing bottlenecks within the SC.

Originality/value

The proposed framework provides an accurate ranking and decision-making tool for the implementation of the solutions for the maturity of the MOSC.

Supply chain resilience during the COVID-19 pandemic

The COVID-19 pandemic has challenged supply chains more seriously challenged than ever before. During this prolonged global health crisis, supply chain managers were forced to rely primarily on solutions developed for limited and foreseeable crises. This study aimed to understand how well existing solutions facilitated supply chain resilience in the UK perishable goods market. Consistent with this aim, we developed a research model based on the supply chain resilience literature and tested it with covariance-based structural equation modelling. Data were collected from 282 retail employees. Supply chain velocity was the preferred measure of resilience. The findings demonstrate that pandemic-related disruptions have affected resilience-building activities. While both proactive and reactive approaches have promoted resilience building during the pandemic, they have not been sufficient to ameliorate all the pandemic's negative effects. Innovation featured as the most effective factor, followed by robustness, empowerment, and risk management via reduced risk. The effect of firm size was significant only on supply chain risk management, with larger companies more efficiently applying risk management practices. The results emphasise the importance of innovation for supply chain resilience. Regardless of firm size, innovation works for every company. Empowerment is another costless and effective tool. Therefore, it is safe to conclude that innovation and empowerment can help organisations to manage their supply chains effectively during crises. Companies can strengthen their supply chain resilience by developing strong relationships with their supplier and employees.

Covid-19 pandemic and consumer-employee-organization wellbeing: A dynamic capability theory approach

The consumers, employees, and organizations have been deeply impacted by Covid-19 pandemic. The present study offers a detailed coping mechanism for organizations based on the extant literature and content analysis of responses of senior management executives. The study is based on semi-structured long interviews with senior executives from various industries. Various measures have been identified for firms as a coping strategy for crisis management and customer well-being. Covid-19 has changed the way individuals live. This study suggests that firms should come forward for well-being of their employees in this new normal. One of the major shifts due to pandemic is in consumer behavior and their consumption habits. Pandemic made consumers go for digitization, think for hygiene, sustainability, and local products. And firms should keep the changed consumer behavior in mind while manufacturing the products. Furthermore, present study suggests that firms can create a positive image of their company by doing CSR activities for society's well-being.

An integrated approach to organizational resilience: a quality perspective

Purpose

The main components of resiliency, including resilience capacities, resilience activities and resilience measures, are identified, extracted and redefined by designing their ontologies. The integrated model is developed by adapting the PDCA (plan, do, check and act) model to resilience management and implementing the developed concepts in the model.

Design/methodology/approach

This study uses systems theory to define the main concepts discussed in the literature on resilience. This study then uses systems engineering theory and a resource-based view of the firm to develop an integrated framework to demonstrate how a resilient firm operates.

Findings

The revised terminologies and the integrated model address the current theoretical issues in the literature, and they also provide a reference model for practical implementation of resilience management at the firm level. Also, the integrated model addresses the role of innovation in resilience management.

Originality/value

The study examines the concept of resilience form a quality perspective and also examines how resilience and innovation are related.

Entrepreneurial orientation and supply chain resilience of manufacturing SMEs in Yemen: the mediating effects of absorptive capacity and innovation

Literature has revealed, recently, the importance of entrepreneurial orientation (EO) for supply chain resilience (SCR); however, doubts remain as to how EO could improve SCR exist due to the vagueness surrounding it. We examine absorptive capacity (AC) and innovation as two mechanisms that mediate the EO-SCR relationship. An empirical analysis was made of the proposed model, based upon survey data for 171 manufacturing SMEs in the Sana'a region, Yemen, using a structural equation model (SEM) with the SmartPLS. The results obtained have shown that EO positively affects SCR for SMEs and, most significantly, this relationship is indirect as it is fully mediated by AC and innovation. The findings have revealed that EO improves SCR when those firms make efforts in developing AC and innovation. EO is significant, but it may not be sufficient to improve SCR if the firm is unable to absorb external knowledge and innovate.

Impact of disruptions in agri-food supply chain due to COVID-19 pandemic: contextualised resilience framework to achieve operational excellence

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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

Theoretical Exploration of Supply Chain Viability Utilizing Blockchain Technology

As a disruptive and innovative technology, blockchain will significantly revolutionize how organizations produce and operate as global rivalry intensifies. The global COVID-19 outbreak, combined with the growing complexity of supply chain networks, has exposed supply chains’ vulnerability to disruption. Therefore, improving the supply chain viability is the primary way to deal with the risk of supply chain disruption. Using the method of literature research, this conceptual paper systematically reviewed and sorted out relevant literature, extracted corresponding capabilities, and put forward relevant research propositions. From the perspective of the resource-based view and resource-dependent theory, this study investigates specific dimensions of the blockchain-enabled supply chain capability: connectivity, network capability, and supply chain reconfiguration and the impact of external resource-dependent capability on the viability of the supply chain. The propositions show that the blockchain-enabled supply chain capability, and external resource-dependent capability will positively impact supply chain viability. It is expected to assist supply chain firms in implementing blockchain technology to increase supply chain viability and improve their capacity to achieve sustainable supply chain development during the crisis.

Enhancing healthcare supply chain resilience: decision-making in a fuzzy environment

Purpose

Resilience is a fundamental component of healthcare supply chains, as the quality and endurance of human life are dependent on them. However, there are numerous resilience-building measures, and there is a need for prioritization of those strategies. This research study aims to prioritize resilience strategies for healthcare supply chains while considering the risks that most severe, probable to occur and have the lengthiest periods of recovery.

Design/methodology/approach

This research study has used multi-criteria decision-making (MCDM) techniques for analysis. Initially, the criteria for prioritization of risks, i.e. severity, probability of occurrence and recovery time were assigned with importance weights through the fuzzy analytical hierarchy process (AHP). Then, these weights were used in the fuzzy technique for order preference by similarity to ideal solution (TOPIS) analysis for prioritization of risks. Subsequently, the identified risks were used for highlighting the appropriate resilience strategies through the fuzzy quality function deployment (QFD) technique.

Findings

Results indicate that Industry 4.0, multiple sourcing, risk awareness, agility and global diversification of suppliers, markets and operations are the most significant resilience strategies.

Research limitations/implications

This study's limitation is that it is conducted in a general perspective, rather than reducing the context to a developing or developed country. Different areas have variable market factors, due to which potential risks occur in a different form. Moreover, resilience strategies work differently in different environments. Therefore, for future endeavors, the studies should be carried out in a limited context.

Originality/value

This research study proposes a novel MCDM-based approach for ranking resilience strategies, in light of the most probable, severe and long-lasting risks. In addition, this approach has been employed for the enhancement of resilience in healthcare supply chains.

Modeling resilient factors of the supply chain

Purpose

This paper aims to study the concept, characteristics and factors of the resilient supply chain (RSC) and develop a hierarchical structural model and classify the factors based on their interrelationships.

Design/methodology/approach

This paper has used a mixed-approach of literature review and expert opinion to identify the factors of RSC. For the development of the structural model and clustering of the factors, this paper has used the total interpretive structural modeling approach with Matrice d’Impacts Croises-Multiplication Applique and Classment and decision-making trial and evaluation laboratory analysis.

Findings

In total, this study has identified 17 factors that enable the 3R capability of the RSC. The result shows that the factors have a close dependence relationship with supply chain (SC) risk management culture as the most influencing factor. Further, this study classifies the factors into enablers and strategies.

Research limitations/implications

This research work is the theoretical contribution to the RSC concept and helps the experts to develop and improve the resilient ability in the SC. This research is based entirely on subjective expert feedback; thus, the results are sensitive to the expert’s judgment.

Practical implications

This research will help the decision-makers in allocating the resources and policies to develop or improve the SC capabilities.

Originality/value

This research work is the first kind of research in the field of the RSC that considers the 3R concept to identify and model the resilient factors of the SC. Along with the theoretical concept, this research provides empirical evidence for the importance ranking of the factors.

The disruption of the international supply chain: Firm resilience and knowledge preparedness to tackle the COVID-19 outbreak

The lockdowns of several countries due to COVID-19 outbreak resulted in severe economic consequences, among which was the immediate general disruption of the international supply chain, with few exceptions. This article aims to investigate whether some supply chains were resilient or not and why, using a knowledge-based approach and specifically focusing on the role played by supply chain innovation in building resilience to disruptions, thanks to knowledge preparedness. The study is motivated by two main rationales: the unique situation of a global pandemic and the absence of studies providing grounded evidences of supply chain resilience in a worst-case scenario.

The research is based on the assumption that knowledge preparedness introduces logistics/supply chain innovations and enables companies to prevent, detect, and respond to unpredictable negative events.

By using a large-scale sample of European firms' data from the Eurostat and a multivariate regression analysis, the authors cross-study the effects of supply chain knowledge preparedness – based on innovation type and expenditures – on the international trade of goods from January to June 2020. The results confirm that the most resilient supply chains were those that had previously introduced innovations, a factor that strengthens the knowledge preparedness of firms when faced with unforeseeable supply chain disruptions.

Capability components of supply chain resilience for readymade garments (RMG) sector in Bangladesh during COVID-19

Purpose

The readymade garments (RMG) industry acts as one of the foremost vital catalysts for financial as well as social advancement of Bangladesh. Due to the harsh impact of COVID-19, RMG sector has been confronting a never-seen-before phenomenon. Since the supply chain has seriously been influenced, concern raises among industry and policymakers on how to support against disturbances resulting from pandemics. Accordingly, this research aims to explore the vulnerability and capability factors of RMG sector in Bangladesh, their relationship and how these variables affect supply chain resilience.

Design/methodology/approach

A qualitative research design has been employed. In the first stage, content analysis has been performed. Since COVID-19 is a new experience, newspapers were the source to become acquainted with the vulnerability and capability factors following the guidelines provided by Pettit et al. (2010). In the second stage, in-depth interviews with key informants were conducted to investigate the relationship among the variables and how these factors may influence supply chain resilience.

Findings

This study identifies fourteen capability factors and their sub-factors of RMG industry in Bangladesh in order to improve the resilience capacity against the vulnerabilities in the context of COVID-19 pandemic.

Research limitations/implications

This research is based on the setting of particular industry in Bangladesh, where respondents are immersed in a unique culture. Special care is required to generalize the results to other segments and phenomena.

Practical implications

The framework recognizes the balanced and unbalanced strength with the capability's components and find the relation between capabilities and vulnerabilities within the fashion industry. By creating the resilience network with the four conceivable positions, companies can find themselves with their capability's components and natural vulnerabilities.

Originality/value

This study investigates diverse components of capability figure against vulnerabilities to create the supply chain resilience. This paper, moreover, develops with four conceivable positions with their capabilities against existing vulnerabilities which brings timely contribution considering the context of COVID-19.

Blockchain connectivity inhibitors: weaknesses affecting supply chain interaction and resilience

Purpose

The paper aims to further understanding of connectivity from the perspective of blockchain technology (BT) in the supply chain (SC). It presents the weaknesses (inhibitors) of connectivity during technology implementation, focusing on supply chain interaction and resilience.

Design/methodology/approach

Restricting the focus to digital connectivity, interaction and supply chain resilience, this paper uses a systematic literature review (SLR) to examine how the literature has addressed, related or flagged connectivity weaknesses affecting supply chain interaction and resilience.

Findings

This study highlights the influence of connectivity for blockchain-technology projects. Technical and organisational influencers that affect the adoption of technology in the SC are presented. These influencers support the factors proposed in this study regarding the weaknesses that negatively affect the interaction between the agents involved and the SC's resilience. The research suggests that the weaknesses are related to technical needs and the relationships between companies arising from functionalities.

Research limitations/implications

This paper is restricted to a review of the theory and the researched material. Although the author was careful to choose the best search terms related to the research objective, some potentially relevant articles may have been excluded.

Practical implications

The study summarises research on blockchain connectivity influencers in the SC, helping managers to anticipate and mitigate some of doubts and concerns in projects of this nature.

Originality/value

This is one of the first articles in the area of operations and SCs that addresses the topic of connectivity, focusing on its restrictive factors (connectivity inhibitors), in the context of blockchain implementation in the SC.

Resilience-Enhancing Solution to Mitigate Risk for Sustainable Supply Chain—An Empirical Study of Elevator Manufacturing

As the complexity of supply chains increases, the enhancement of resilience for mitigating sustainable disruption risks in supply chains is an important issue. Quality function deployment (QFD) has been successfully applied in many domains to solve multicriteria decision-making (MCDM) problems. However, research on developing two houses of quality to connect sustainable supply chain disruption risks, resilience capacities, and resilience-enhancing features in elevator manufacturing supply chains by using the MCDM approach is lacking. This study aims to develop a framework for exploring useful decision-making by integrating the MCDM approach and QFD. By applying the framework, supply chain resilience can be improved by identifying the major sustainable risks and the key resilience to mitigate these risks. Important managerial insights and practical implications are obtained from the framework implementation in a case study of the elevator manufacturing industry. To strengthen resilience and thus mitigate key risks, the most urgent tasks are to connect the working site and the backstage to enhance product development and design and to share real-time job information. When these features are strengthened, agility, capacity, and visibility can be improved. Finally, unexpected events lead to changes in supplier delivery dates, and factors such as typhoon and lack of critical capacities/skilled employees with the greatest impact can be alleviated. This framework will provide an effective and pragmatic approach for constructing sustainable supply chain risk resilience in the elevator manufacturing industry.

An intelligent framework for analyzing supply chain resilience of firms in China: a hybrid multicriteria approach

Purpose

The paper aims to identify the most supply chain resilient company suitable for the customized preferences of partner firms in the context of the Chinese supply chain framework during the COVID-19 pandemic.

Design/methodology/approach

A hybrid multicriteria model, i.e. Fuzzy Analytical Hierarchy Process (AHP), was used to assign weights to each criterion, which was subsequently analyzed by three approaches, namely Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory), and Evaluation Based on Distance from Average Solution (EDA), to rank the top ten companies in descending order of supply chain resilience. Further, sensitivity analysis is performed to identify the consistency in ranking with variation in weights. The rankings are validated by a novel Ensemble Ranking algorithm and by supply chain domain experts.

Findings

The rankings suggest the company “China Energy Construction Group Tianjin Electric Power Construction Co., Ltd” is the most feasible and resilient company, presenting interesting findings to partner firms, and Bosch is the least reliable supply chain company of the ten firms considered, thus presenting interesting findings to partner companies.

Practical implications

“Crisis Management Beforehand” is most critical in the current pandemic scenario. This implies that companies need to first prioritize taking proactive steps in crisis management followed by the need to minimize the “Expected impact of pandemic.” Performance factors also need to be regulated (sales, supply chain rank and financial performance) to maintain the company's overall reputation. Considering the consistent performance of the China Energy Construction Group Tianjin Electric Power Construction Co., Ltd., it is recommended as the most reliable supply chain firm to forge strategic partnerships with other supply chain stakeholders like suppliers and customers. On the other hand, Bosch is not recommended as a supply chain reliable company and needs to improve its crisis management capabilities to minimize the pandemic impact.

Originality/value

The paper aims to identify the most supply chain resilient company suitable for the customized preferences of partner firms in the context of the Chinese supply chain framework during the COVID-19 pandemic. The rankings suggest the company “China Energy Construction Group Tianjin Electric Power Construction Co., Ltd” is the most feasible and resilient company, presenting interesting findings to partner firms, and Bosch is the least reliable supply chain company of the ten firms considered, thus presenting interesting findings to partner companies.

Incorporating the risk of knowledge loss in supply chain risk management

Purpose

The literature on supply chain risk management (SCRM) has investigated a multitude of supply chain risks. This paper aims to make a case for the importance of managing the risk of knowledge loss in the supply chain management (SCM) function and incorporating knowledge loss as a critical risk within the SCRM process.

Design/methodology/approach

This paper adopts a knowledge-based view of the SCRM process and attempts to bring to light insights based on a synthesis of the relevant literature. The authors conducted a systematic literature review of peer-reviewed articles published between 1998 and 2019. Further, a case study was conducted to illustrate the significance of the risk of knowledge loss in the SCM function in terms of how it operates and why it has such a significant impact on performance.

Findings

Knowledge loss is a relatively neglected type of supply chain risk that can be added to the existing typologies. This paper argues that knowledge loss in the SCM function has the propensity to significantly impact the performance of the focal firm, exacerbate other types of supply chain risk and impede risk mitigation efforts. We put forth several strategies that supply chain managers can adopt to mitigate the risk of knowledge loss in their function.

Research limitations/implications

This paper generates an exploratory opening that could pave the way for a systematic theory of knowledge loss as a supply chain risk and future empirical research. The study culminates in a number of important insights and initiatives for supply chain managers to recognize and manage the risk of knowledge loss.

Originality/value

This paper argues for the importance of incorporating the risk of knowledge loss in SCRM research and practice. It also provides an examination of some promising angles for future research in SCRM from a knowledge-based perspective.

Deploying Resilience Enablers to Mitigate Risks in Sustainable Fashion Supply Chains

The complex structure of supply chains makes them vulnerable to risk, so enhancing their resilience is an important goal. In particular, fashion supply chain research has identified two important issues that need to be addressed: sustainability and risk. However, investigation of these issues is relatively sparse and has primarily been independent with little combinatory research. Therefore, it is crucial to develop a risk mitigation method that can maximize the resilience of sustainable supply chains for fashion companies. The objective of this study is to develop an integrated quality function deployment approach and to mitigate supply chain risk by deploying resilience capabilities and resilience-enhancing features, thus ultimately providing the fashion industry with a useful approach for the development of resilient, sustainable supply chains. Using a fashion company as an example, the practicability of the proposed approach is verified. To strengthen resilience and thus mitigate key risks, it is found that the most urgent tasks are to reallocate the company’s resources, to carry out the real-time monitoring of risk on the spot, to share the risk responsibility, and to establish an incentive system. When these features are strengthened, agility and adaptability can be improved, and finally, the risks of supplier delays, natural disasters, political instability, and problematic supplier materials with the greatest impact can be alleviated. This study provides a new strategy for the fashion industry for the implementation of resilient, sustainable supply chains to mitigate risks.

Thriving, Not Just Surviving in Changing Times: How Sustainability, Agility and Digitalization Intertwine with Organizational Resilience

Nowadays, the buzzwords for organizations to be prepared for the competitive environment’s challenges are sustainability, digitalization, resilience and agility. However, despite the fact that these concepts have come into common use at the level of both scholars and practitioners, the nature of the relation between sustainability and resilience has not yet been sufficiently clarified. Above all, there is still no evidence of what factors determine greater resilience to change in an organization that also wants to be more sustainable, especially in times of crisis and discontinuity. This research aims to explore from a theoretical point of view, through the construction of a conceptual model, how these dimensions interact to help the business to become strategically resilient by leveraging digitization and agility as enablers. A new view of resilience arises from the study, which goes beyond the well-known ability to absorb or adapt to adversity, to also include a strategic attribute that could help companies capture change-related opportunities to design new ways of doing business under stress. A key set of strategically agile processes, enabled by digitalization, creates strategic resilience that also includes a proactive, opportunity-focused attitude in the face of change. Strategic resilience to lead to organizational sustainability must be understood as a multi-domain concept quite similar to the holistic view of sustainability: environment, economy and society. Finally, the research offers a set of propositions and a theoretical framework that can be empirically validated.

Dynamic capabilities in humanitarian supply chain management: a systematic literature review

Purpose

The main purpose of this paper is to examine the extant literature of humanitarian supply chain management (HSCM) which specifically use dynamic capabilities (DCs) view. By this means, the objectives of this study are to identify and assess the DCs used in the HSCM context, the factors positively and negatively affecting the DCs and how the DCs affect humanitarian supply chain (HSC) operations. Furthermore, this research aims to give directions for future research in the field of HSCM.

Design/methodology/approach

This study adopts systematic literature review (SLR) approach proposed by Denyer and Tranfield (2009). Based on a SLR, this study synthesizes and compares the evidence, has a specific focus and research questions, has certain inclusion and exclusion criteria and provides evidence-based implications to the researchers and practitioners. This is a method which is replicable, transparent and auditable. The SLR methodology provides scholars and practitioners a basis for comprehending the current situation of relevant topic and taking correct steps in their future actions.

Findings

This SLR deduces that applying DCs view is still in its infancy in the HSCM literature. The result of this SLR reveals that supply chain agility (SCA), supply chain resilience (SCR), reconfiguration/transformation, integration, (short-term) collaboration, sustaining, sensing, seizing and knowledge access DCs have been used in the HSCM literature. In addition, it is determined that only one paper analyzed the influence of DCs on predisaster performance while rest of the papers focused on the postdisaster performance.

Originality/value

The result of the exhaustive literature search indicates that this is the first SLR that specifically analyzes the application of DCs view in the HSCM domain. This investigation determined the DCs used in HSCM and revealed the relations between the dependent and independent variables through the comprehensive model. In this way, this review provides a guidance to researchers in conduct their future investigations and practitioners to carry out supply chain (SC) operations by considering the factors affecting their operations.

Hotels in contexts of uncertainty: Measuring organisational resilience

The tourism industry faces multiple changes (economic crises, climate change, technology innovation…). Because of this vulnerability, as evidenced by the COVID-19 pandemic, the study of hotel resilience is a key issue for the survival and competitiveness of organisations and destinations. Therefore, this paper proposes a holistic model to measure organisational resilience. To that end, it aims to analyse the determinants of organisational resilience, i.e. predictors of resilience (strategy and change), and to assess how they contribute to hotel resilience and performance. Firstly, the hotel context in the Canary Islands is examined to identify the level of impact, frequency and predictability of each type of change. Secondly, scales development and validation were conducted. Finally, the proposed model is validated. Findings confirm that the strategy and change dimensions have a considerable effect on hotel resilience, which positively influences hotel performance. Discussion provides hotel managers with guidelines to improve organisational resilience and performance.