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Given the rising complexities around organizational resilience, this study identifies and explains the critical enablers of developing organizational resilience (OR). It offers logical reasoning into the interactions and interdependencies among the identified elements with the help of a hierarchical model of the antecedents of OR.

This paper deployed a mixed methodology research design. Firstly, critical enablers of OR are identified from the literature review. Second, contextual relationships and interactions between the enablers are examined using modified total interpretive structural modeling to derive a hierarchical model among the antecedents that characterize OR. Lastly, a survey study including industry experts is used to statistically verify the model links.

Developing resilience lies at the intersection of organization science and strategic management, involving the interaction of factors within an organization’s strategic behaviors, organizational practices, and people processes. The study identifies twelve antecedents of OR. The resultant interpretive hierarchical model helped decipher internal relationships among the antecedents. The proposed model helps determine how organizations move through different phases (before, during, and after) of turbulences and how organizational resilience helps overcome negative spirals.

This research is original and refreshing in its attempt to necessitate resilience as a processual characteristic needed to survive, thrive, and transform amidst business tensions. The hierarchical model of antecedents garners a better understanding of how their interactions and interdependencies help organizations enhance their capacity to adapt and build resilience in organizational systems and processes. It answers questions of “what,” “how,” and “why” relevant to theory building in OR.

The world is on the verge of entering the deglobalization age, and industrialized economies have ushered it in. However, there is still a scarcity of comprehensive and rigorous studies in this field. This research has tried to analyze the evolution and characteristics of deglobalization research.

The authors have employed bibliometric analysis for examining the existing evidence on accelerating deglobalization thinking based on a thorough analysis of articles published during a roughly 25-year span between 1996 and 2022. This study has used the TISM-P technique to study the relationship among the factors accelerating deglobalization thinking. This research reviews the articles on several dimensions of deglobalization using the “what”, “why”, “how”, “who”, “when” and “where” approaches.

The authors specify the critical factors, policy reforms, approaches and observed characteristics explored in this developing research area.

The authors have analyzed the factors accountable for rising deglobalization thinking and also suggested strategic recommendations based on the findings to minimize the adverse impact of globalization.

Although there is a wealth of literature on globalization, very little study has been done in the field of deglobalization. This is the first substantive review being done in the deglobalization domain. The contemporary research has used the bibliometric approach and the “5W and 1 H” framework to gain a comprehensive understanding of the changing paradigm.

In today’s environment, electric vehicles (EVs) industries and services provided to consumers are facing many challenges. The public in large numbers is not adopting Electric Vehicles because of the unavailability of suitable EVs and not getting proper charging infrastructure to the consumers. The purpose of this study and research work is to analyze the condition of this industry, its charging infrastructure and E-government policies. Based on the above analysis, frameworks/models are to be designed to assist organizations in formulating strategies for the EV industry and providing proper infrastructure to the consumer.

The Variables for the EV and EVsCI case study are identified from an exhaustive literature review, stakeholders’ perspectives, experts’ opinions, existing EV policies, future policy blueprints and data available for this industry, applying the Situation Actor Process-Learning Action Performance (SAP-LAP) methodology. After that, the Interpretive Ranking Process (IRP) is integrated with the SAP-LAP approach to develop models.

The rankings of Actors Versus Processes and Actions Versus Performances have been obtained and then models have been developed. These models can serve policymakers in framing and implementing effective policies.

Although the SAP-LAP approach is an innovative approach for identifying variables, however, this approach lacks perfect interactive relationships among the variables. It may lead to imperfect decision-making. To avoid this, the IRP approach is integrated with the SAP-LAP approach which provides more accurate models for analysis and providing recommendations to government and organizations.

This study aims to examine the enablers of productivity of enterprise-level Agile development process using modified total interpretative structural modeling (TISM). The two main objectives of the current study are to determine the variables influencing enterprise-level agile development productivity and to develop modified TISM for the corresponding components.

To identify enablers of the productivity of enterprise-level agile software development process a literature review and opinions of domain experts were collected. A hierarchical relationship among variables that show direct and indirect influence is created using the modified TISM (M-TISM) technique with Cross Impact Matrix-Multiplication Applied to Classification analysis. This study examined and analyzed the relationships between the determinants within the enterprise using a M-TISM technique.

With the literature review, the study could identify ten enabling factors of the productivity of Agile development process at the enterprise level. Results depict that program increment (PI) planning and scalable backlog management, continuous integration and continuous delivery (CI/CD), agile release trains (ART), agile work culture, delivery excellence, lean and DevOps practices, value stream mapping (VMS), team skills and expertise, collaborative culture, agile coaching, customer engagement have an impact on the productivity of enterprise-level Agile development process. The results show that team collaboration, agile ways of working and customer engagement have a greater impact on productivity improvement for enterprise-level Agile development process.

The developed model is useful for organizations employing scaled Agile development processes in software development. This study provides a recommended listing of key enablers, that may enable productivity improvements in the Agile development process at the enterprise level. Strategists should focus on team collaboration and Agile project management. This study offers a modified TISM model to academicians to help them understand the effects of numerous variables on maintaining the productivity of an enterprise-level Agile. The identified characteristics and their hierarchical structure can help project managers during the execution of Agile projects at the enterprise level, more effectively, increasing their success and productivity.

The study addresses the gap in the literature by interpretative relationships between the identified enabling factors. The model validation is carried out by a panel of nine experts from several information technology organizations deploying Agile software development at the enterprise level. This unique method broadens the knowledge base in Agile software development at scale and provides project managers and practitioners with a practical foundation.

This study aims to investigate the implementation of lean human resource management (HRM) practices in manufacturing small- and medium-sized enterprises (SMEs) and explore how various factors interact to influence their successful adoption. By exploring the interplay among these factors, the research seeks to identify key drivers affecting the adoption of lean HRM in manufacturing SMEs. Ultimately, the research intends to provide insights that can guide organisations, practitioners and policymakers in effectively implementing lean HRM practices to enhance operational efficiency, workforce engagement and competitiveness within the manufacturing SME sector.

The study combined total interpretive structural modelling (TISM) and Matrice d'Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis. TISM helped in understanding the hierarchical relationship among different factors influencing lean HRM implementation, whereas MICMAC analysis provided insights into the level of influence and dependence of each factor on others.

The research revealed that “top management support” emerged as the most independent factor, indicating that strong support from top management is crucial for initiating and sustaining lean HRM practices in manufacturing SMEs. On the other hand, “employee involvement and empowerment” was identified as the most dependent factor, suggesting that fostering a culture of employee engagement and empowerment greatly relies on the successful implementation of lean HRM practices.

While the study provided valuable insights, it has certain limitations. The research was conducted within the specific context of manufacturing SMEs, which might limit the generalizability of the findings to other industries. Expert opinions introduce subjectivity in data collection. Additionally, the study may not cover all critical factors, allowing room for further exploration in future research.

The findings have practical implications for manufacturing SMEs aiming to implement lean HRM practices. Recognising the pivotal role of top management support, organisations should invest in cultivating a strong leadership commitment to lean HRM initiatives. Furthermore, enhancing employee involvement and empowerment can lead to better adoption of lean HRM practices, resulting in improved operational efficiency and overall competitiveness.

This research contributes to the field by offering a comprehensive exploration of the interplay among factors influencing lean HRM implementation. The use of TISM and MICMAC analysis provides a unique perspective on the relationship dynamics between these factors, allowing for a nuanced understanding of their roles in the adoption of lean HRM practices in manufacturing SMEs. The identification of “top management support” as the most independent and “employee involvement and empowerment” as the most dependent factors adds original insights to the existing literature.

The outbreak of the coronavirus pandemic (COVID-19) has severely disrupted businesses around the world. To address the impact of operational and strategic business disruptions, this paper contributes to the practice of a firm's management in terms of identifying the determinants of organizational resilience (OR) and creating a hierarchical model of the potential sources of a firm's adaptive capability.

A novel research framework integrating Pareto analysis, grey theory and total interpretive structural modeling (TISM) has been applied to, first, identify the sources of a company's resilience and, second, to determine contextual relations among these sources of OR.

The findings of the survey highlight three primary sources that allow companies to build companies' resilience: access to financial resources, digitization level and supply chain (SC) collaboration. The authors' model shows that resilience cannot be viewed as a particular feature but rather as a dynamic intertwined network of different co-dependent sources.

The proposed hierarchical model indicates that the most crucial sources of company's resilience in the recent pandemic are access to financial resources, digitization level and SC collaboration.

The study takes an original investigation on cognitive grounds, touching on the problem of firms' resilience to the unique nature of the crisis caused by the COVID-19 pandemic. The study also represents one of the few attempts to use integrated Pareto analysis, grey theory and TISM to examine this critical area of firm management.

The competitive rivalry, rapid change and high business volatility necessitate inter-organizational collaboration, including the supply chain (SC). This paper develops an interpretive model of the effect of the chief executive officers’ (CEO's) transformational leadership (TL) style on SC collaboration and, consequently, on the firm's performance.

Total interpretive structural modeling (TISM) is adopted to develop a hierarchical model to delineate the association between the elements of TL, SC collaboration and firm performance. Furthermore, the model has been validated statistically.

The TISM analysis results suggest that the TL style elements require maximum attention and are strategic. These elements drive factors of SC collaboration leading to improved firm performance. Therefore, CEO leadership is critical for SC collaboration to effectively affect firm performance.

The TISM framework in this paper preferred the majority approach over the fuzzy one, which requires a much larger data set. However, the bias of the majority approach can be eliminated by having multiple consultations with participants. Further, the development and validation of the paper was limited to manufacturing small and medium enterprises (SMEs) in India. The model can also be tested in large organizations to garner additional insights.

This study uniquely integrates TL and SC collaboration elements to explain firm performance. The TISM framework explains not only the “what” and “how” but also the “why” of theory building. This study also adds methodological value by combining triangulation with the interpretive tool.

Emergency medicine can save lives and in 2018 the World Health Assembly passed resolution 72.16 ensuring the role of emergency care in all health systems. With a continued global shortage of emergency physicians, with many low-medium-income countries (LMIC) still to develop emergency medicine as a speciality, the role of emergency nurses is critical to deliver the WHO Emergency Care System Framework (WHO, 2018). Emergency medicine doctors play a critical role in collaborating with nurses, in emergency medicine where nurses are often the first clinicians are often the first clinicians to interact with patients in emergency care settings, making up the majority of health-care professionals in LMIC (Mamalelala, 2024). Yet emergency nursing has yet to become established in Nepal, where nurses are often recruited to emergency departments, without having received any training in emergency or critical care treatment and management. The purpose of this paper is to outline a collaborative leadership approach to co-design an airway, breathing, circulation, disability, exposure (ABCDE) structured approach to an emergency nursing training module designed for nurses to feel empowered in the emergency department and to report on its findings.

This study draws upon mixed methodology research, enrolling 30 nurses (n = 30) from an emergency department in a tertiary hospital in Nepal through three stages of the project: Stage 1: training module co-design, collaborative leadership exploring the rationale for a training module and core features of design based on the ABCDE of emergency medicine; Stage 2: quantitative data were collected to assess baseline pre- and post-intervention knowledge and follow-up knowledge assessment at 30 and 45 days; Stage 3: qualitative data were collected with 24/30 (80%) nurses to evaluate the impact and application of the nurses ABCDE learning 7 months post-training. The qualitative survey was undertaken using online Google Forms.

Nurses were fully engaged in the co-design and collaboration of the development of an ABCDE training module which was delivered over 3 h. Full engagement was secured from all nurses in the department, and there were statistically significant advances in ABCDE emergency knowledge from the baseline, however, this knowledge began to decrease at 30 and 45 days. A follow-up qualitative survey was distributed to nurses seven months after training with an 80% return rate, which reported a range of examples of how nurses were continuing to apply their learning in practice.

This training module for emergency nurses was designed collaboratively from the “bottom up” in a tertiary hospital in Nepal, recognising the need to develop emergency nursing in the emergency department. The data revealed promising findings, while knowledge decreased from the post-training questionnaire, qualitative evidence revealed significant changes in practice, with the greatest reported change in the management of the airway. While this training module has made a difference in the quality of care provided, there is a need for a country-wide strategy in this area otherwise it is likely that such an initiative will only be developed by hospitals at a local level (Lecky, 2014). Education and training initiatives for nurses that focus on an evidence-based approach to clinical practice can bridge the workforce gap in the short term, however, the Government of Nepal must decide on establishing a recognised post-graduate sub-specialty in emergency nursing, the duration of training, who should be trained and what curriculum should be followed (Lecky, 2014).

This study assesses the impact of online grocery shopping and food delivery services on food insecurity before and during the COVID-19 pandemic.

This study uses an online survey of 1,532 respondents. Respondents’ sociodemographics, food consumption, purchasing behavior, food security status, food insecurity coping mechanisms and concerns associated with food safety were asked before and during COVID-19.

Online grocery shopping and food delivery services increase food insecurity. Moreover, households with female primary shoppers were less likely to be food insecure than households with male primary shoppers. Furthermore, households with children were more likely to be food insecure. Minority households, such as Black, Hispanic, Native American and younger households, were more likely to be food insecure.

Panel data with the same households surveyed before and after COVID-19 would be a better approach. Similarly, the impact of online shopping on food insecurity needs further research, as many factors could be associated with online shopping that impact food insecurity, especially during a crisis like the COVID-19 pandemic. Additionally, a study of the long-term impact of online shopping on food insecurity would be interesting and could present broader and more generalizable results.

The impact of online shopping on food insecurity before and during COVID-19 has yet to be studied sufficiently. Given the increase in popularity of online grocery shopping, its impact on food insecurity still needs to be discovered. Besides online grocery shopping, we also study online food delivery services whose demand has gained momentum over the past few years, including during the pandemic.

The purpose of the study is to comprehend medical service quality, information quality and system quality toward actual use of Tele-Health in rural India. The study further validates the impact of the actual use of Tele-Health on sustainable development, thus providing implications to improve upon the Tele-Health penetration in India.

Data was collected from 326 healthcare practitioners practicing Tele-Health in North Indian states and Structural Equation Modeling was applied to validate the conceptual framework.

The results indicated that medical service quality, information quality and system quality influence Tele-Health behavioral intentions which in turn impact actual use and sustainable development. This research draws upon a conceptual framework to deepen our understanding of Tele-Health by providing an all-inclusive overview.

The massive topography of India with a prime rural populace instills the need for timely healthcare facilities. Tele-Health is a solution to all these problems but is at a nascent stage. Therefore, there is a vital need to study the factors which improve the penetration of Tele-Health in the Indian context. The model that emerged from the study may be validated by other Indian sub-continental countries so that Tele-Health may be implemented hassle-free.