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The purpose of this study is to empirically test the impact of resilience-enhancing human resource practices on job satisfaction and organizational commitment with the mediating role of employee resilience.

With a quantitative approach, structural equation modeling was used to test the hypothesis. Data was collected with a survey method from 326 bankers of Pakistan. Data was diagnosed with all reliability and validity tests and significance was tested with bootstrapping. Smart-PLS software was used.

Results revealed that there is a partial mediating impact of employee resilience in the relationship of resilience-enhancing human resource practice and job satisfaction. For resilience-enhancing human resource practice and organizational commitment, employee resilience plays a partial mediating role.

This study is confined to bankers only and a limited sample is used. However, it significantly provides a contextual base for further theoretical development in the research of employee resilience.

This paper recommends the banking sector of Pakistan for paying extra heed toward resilience-enhancing human resource practices, as it only augments much-needed resilience among employees but also ultimately results in greater job satisfaction and commitment.

This study is the first of the kind in the banking sector of Pakistan to explore resilience-enhancing practices.

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.

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.

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.

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.

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.

The purpose of this paper is to explore resources or capabilities that enable medium-sized firms to be resilient, namely, to avoid and recover from supply chain disruptions.

A case-study method is employed with four medium-sized manufacturing firms headquartered in the USA that have global supply chains. Data are collected from semi-structured interviews with key informants from diverse functions and managerial levels, archival documents, observation and a resilience assessment.

Internal social capital emerged as a resilience-enhancing resource, comprising: structural capital grounded in small network size, geographical proximity among decision makers and low hierarchy; relational capital grounded in close relationships, commitment and respect; and cognitive capital grounded in long employee tenure.

This is the first paper in the supply chain management literature to examine the resilience of medium-sized firms, an under-researched context. It is also the first paper to introduce internal social capital as a resilience-enhancing resource. Hence, this is among the few papers to propose a resilience-enhancing resource rooted not in a firm’s supply chain operations but its human resources. This paper, moreover, identifies several facets of internal social capital within medium-sized firms. Finally, the paper makes several managerial contributions.

This work conducts a comprehensive analysis of how to incorporate resilience and sustainability into capacity expansion strategies for business-to-business (B2B) chemical supply chains. This study aims to guide both researchers and managers on ensuring profitability in B2B chemical supply chains while minimizing environmental impacts, complying with regulations and mitigating disruptions and risks.

A systematic literature review is conducted to analyze the interplay between sustainability and resilience in chemical B2B supply chains, specify the quantitative and qualitative methods used to tackle this challenge and identify the drivers and barriers concerning capacity expansion. In addition, a comprehensive conceptual framework is suggested to outline a compelling research agenda.

The findings emphasize the increasing importance of modeling and resolving decision-making challenges related to sustainable and resilient supply chains, particularly in capital-intensive chemical industries. Yet, there is no standardized strategy for addressing these challenges. The predominant solution methods are heuristic and metaheuristic, and the selection of performance metrics tends to be empirical and tailored to specific cases. The main barriers to achieving sustainability and resilience arise from resource limitations within the supply chain. Conversely, the key drivers of performance focus on enhancing efficiency, competitiveness, cost effectiveness and risk management.

This work offers practitioners a conceptual framework that synthesizes the knowledge and tackles the challenges of designing sustainable and resilient supply chains as well as managing their operations in the context of B2B chemical supply chains. Results provide a practical guide for navigating the complex interplay of sustainability, resilience and chemical supply chain expansion.

The key concepts and dimensions associated with capacity expansion planning for a resilient and sustainable chemical supply chain are identified through structured and comprehensive analyses of existing literature. A conceptual framework is proposed for delineating the intersections among sustainability, resilience and chemical supply chain expansions. This mapping endeavor aims to facilitate a future characterized by the deployment of a nexus of resilience and sustainability in chemical supply chains. To this end, a promising future research agenda is accordingly outlined.

The purpose of this study is to investigate the influence of ambidextrous strategy on supply chain resilience and its impact on firm performance, employing the Dynamic Capabilities View.

Through a survey of 215 supply chain professionals, the research employs a structural equation modeling analysis to examine the relationships between ambidexterity, agile operations, resilience, and performance.

The findings demonstrate that the ambidextrous strategy significantly enhances both agile operations and supply chain resilience. In turn, agile operations and resilience positively impact firm performance. The study also reveals that agile operations and supply chain resilience partially mediate the relationship between ambidextrous strategy and firm performance.

This research contributes to the supply chain management literature by highlighting the importance of an ambidextrous approach in fostering agile operations and resilience, thereby improving firm performance. It extends the dynamic capabilities view framework by elucidating how ambidexterity acts as a pivotal mechanism for adapting to disruptions and securing competitive advantage in volatile markets. Finally, measurements of ambidextrous strategy and resilience are provided to further enhance practitioners’ understanding of building these important components in networks.

The purpose of this study is to examine the extent to which a firm is able to leverage its information system (IS) innovativeness to improve supply chain resilience through developing and employing its analytics capability. It further considers how this mediating effect of analytics capability can be enhanced by internal and external integration.

Building on the logic of organizational information processing theory, a mediated moderation model is developed and tested using structural equation modeling and partial least squares regression based on survey responses from 247 working professionals.

The results indicate that IS innovativeness improves a firm’s supply chain resilience through enhanced analytics capability, with higher levels of internal and external integration further strengthening the effects of this mediating relationship.

This study is among the first to empirically test the effects of IS innovativeness and analytics capability on supply chain resilience and to examine the impacts of internal and external integration as key factors affecting the strength of these relationships. The findings complement existing literature through providing new insights into the linkage between IS strategy and supply chain resilience and highlighting the importance of relationships throughout the supply chain to enhance the efficacy of a firm’s analytics capability within this domain.

Research on transparency has been concerned mainly with external transparency, leaving internal transparency understudied. In particular, there is a lack of empirical research on the relationship between internal transparency and organizational resilience. This paper aims at investigating how internal transparency impacts organizational resilience in a public entity. It also examines how (quality) management systems impact internal transparency, and thus organizational resilience.

The research is based on semi-structured interviews covering the relevant topics. A total of 32 interviews were undertaken between January and May 2018.

The findings indicate that internal transparency contributes to better preparedness to adverse conditions by enhancing the ability to cumulate, locate and share knowledge. Similarly, management systems improve internal transparency through the enhancement of communication flow, use of indicators and accretion of a database.

The paper is the first, as evident from the literature review, to investigate how internal transparency impacts organizational resilience. Hence, it sheds light on a very important aspect of the effective management of quality, risk and reliability. It is also one of the first papers to examine the mediating role of (quality) management systems in organizational resilience.

Organizational resilience is a prerequisite to ensure preparedness and quick recovery from disruptions for an organization. However, there is scant literature that examines antecedents that are associated with resilience. This study aims to evaluate antecedents of organizational resilience considering three factors: sustainable supply chain management (SSCM), business model adaptation (BMA) and digitalization.

This study considers the dynamic capability view as a theoretical lens to formulate the hypotheses between the mentioned constructs. The authors test the hypotheses based on the data collected from 259 manufacturing companies. The authors consider structural equation modeling and mediation analysis to analyze the proposed hypotheses.

The results of structural equation modeling suggest that there is a positive association between SSCM and organizational resilience. Furthermore, the results suggest that digitalizing the business processes and deploying an adaptable business model can help organizations enhance their resilience levels.

This study contributes to the literature by identifying dynamic capabilities that can influence organizational resilience and extending the relevance of BMA and digitalization in the context of sustainability and resilience. Furthermore, this research informs managers on effective pathways for managing future disruptions.

Resilience has been emphasised by researchers as a probable framework for overcoming challenging circumstances and fostering organisational innovation. Universities have had to shift to a blended learning system which includes online learning. Prior scholars have studied resilience as a reactive aspect which focuses on organisation's ability to bounce back from a downfall. This study aims to establish the antecedent role of resilience capacity which is a proactive ability to preparedly respond to a downfall.

The research adopts an explanatory study design to establish the hypothesised antecedent role of organisational resilience capacity in enhancing organisational innovation. Drawing a sample from Ugandan Universities, hierarchical regression was used to test the role of organisational resilience capacity on organisational innovation. The study also tested the influence of organisational characteristics of ownership, age and size on innovation.

The study findings show that the three dimensions of organisational resilience capacity (cognitive capacity, behavioural preparedness and contextual capacity) significantly enhance organisational innovation. The findings further reveal that ownership has a significant effect on innovation. The results show that organisational size and age do not influence innovation.

The study's conclusions help contemporary managers decide how to set up numerous strategic initiatives to activate organisational resilience towards innovation. To deal with disruption, organisations should use dependable innovation systems and best practices in a robust and adaptable way. Organisational managers ought to integrate the doctrines of resilience into various organisational activities such as training and development and simulation activities, so that organisational managers learn resilience skills to deal with environmental changes.

This research shows how the three dimensions of organisational resilience capacity (cognitive capacity, behavioural preparedness and contextual capacity) influence innovativeness since most studies have been directed to the aspect of resilience (which only focuses on ability to recover from a downfall) as opposed to resilience capacity that relates to the ability of an organisation to successfully absorb disruptive events that may endanger organisation survival, develop situation-specific remedies and eventually evolve in transformative activities. The study further intensively extends the body of knowledge by delving deeper into establishing the influence of the individual dimensions of resilience capacity on innovation.

The objective of this research is to model supply chain network resilience for low frequency high impact disruptions. The outputs are aimed at providing policy and practitioner guidance on ways to enhance supply chain resilience.

The research models the resilience of New Zealand's log export logistical network. A two-tier approach is developed; linear programming is used to model the aggregate-level resilience of the nation's ports, then discrete event simulation is used to evaluate operational constraints and validate the capacity of operational flows from forests to ports.

The synthesis of linear programming and discrete event simulation provide a holistic approach to evaluate supply chain resilience and enhance operational efficiency. Strategically increasing redundancy can be complimented with operational flexibility to enhance network resilience in the long term.

The two-tier modelling approach has only been applied to New Zealand's log export supply chains, so further applications are needed to insure reliability. The requirement for large quantities of empirical data relating to operational flows limited the simulation component to a single region

New Zealand's log export supply chain has low resilience; in most cases the closure of a port significantly constrains export capacity. Strategic selection of location and transportation mode by foresters and log exporters can significantly enhance the resilience of their supply chains.

The use of a two-tiered analytical approach enhances validity as each level's limitations and assumptions are addressed when combined with one another. Prior predominantly theoretical research in the field is validated by the empirical investigation of supply chain resilience.