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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.

After completion of the case study, the students will be able to appraise the importance of different methods of location planning in warehouse selection, analyze the load distance values for warehouse location and choose the optimum location based on the load distance analysis.

DB Builders, a prominent Indian construction company, faced a crucial decision in selecting an ideal storage warehouse for a project involving 100 flats spread across five locations. Mr Vijay Kumar, an experienced material handling expert, was entrusted with this task as part of transitioning the company’s material allocation system toward centralization. Using practical travel distances, Kumar meticulously scouted four potential warehouse locations. The selection process hinged on three primary factors: load, distance to apartment sites, safety and cost of the premises, each carrying specific weightage. The project planning department provided scores for safety and cost, helping evaluate the options. This unique challenge arises due to varying material requirements across the apartment locations, demanding an efficient warehouse planning. The selection of the optimal storage warehouse holds paramount importance in facilitating the smooth execution of these larger projects. Kumar’s expertise and strategic decision-making are pivotal in ensuring a seamless transition toward centralized material handling, which is essential for the company’s future success.

This teaching activity is aimed at introductory/basic courses in Bachelors and Masters of Business administration.

Teaching notes are available for educators only.

CSS 9: Operations and Logistics.

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.

The purpose of this paper is to study the role of psychosocial safety climate (PSC) on job satisfaction and emotional exhaustion among employees and to examine the mediating role of effort–reward imbalance (ERI) in this relationship.

This study investigated a mediation model with ERI explaining the relationship between PSC and the outcome variables using a sample of 441 employees of information technology (IT) organizations in India. The data were analyzed using structural equation modeling (SEM) techniques with LISREL (linear structural relations) 8.72 software.

The results suggest that PSC significantly influences the employees' experiences of job satisfaction and emotional exhaustion. Also, ERI was demonstrated as a significant intervening construct with full mediation of the PSC–emotional exhaustion relationship and partial mediation of the PSC–job satisfaction relationship.

The study provides substantial results and arguments to encourage organizational-level commitment for psychosocial risk management through distributive fairness and reciprocity in the form of ERI to foster positive attitudes and prevent negative health and psychological outcomes. The cross-sectional nature of the study limits generalizability but contributes to the literature on work stress in a developing country's context.

The study demonstrates how employee outcomes like job satisfaction and emotional exhaustion often result from their perceptions of inequity and imbalance at the workplace. Further, the study builds a strong case for helping organizations contribute to the United Nations (UN) 2030 sustainability goals by empirically establishing the crucial role of top management's commitment and prioritization of employee psychosocial health and safety for designing primary stress-management initiatives for sustainable psychosocial risk prevention and management.

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 aims to identify the critical factors contributing to India-based non-governmental organizations (NGOs) capacity building and value creation for beneficiaries.

A total interpretive structural modeling technique has been used to develop a hierarchical model of critical factors and understand their direct and indirect interrelationships. The driving force and dependence force of these factors were determined by using cross-impact matrix multiplication applied to classification analysis.

This study identifies 12 critical factors influencing NGO capacity building in India’s intellectual disability sector across four dimensions. Internal organizational capabilities include infrastructure, staff qualifications, fundraising, vocational activities and technical resources. Second, coordination and stakeholder engagement highlight government and agency collaboration, dedicated board members and stakeholder involvement. Third, adaptability and responsiveness emphasize adjusting to external trends and seizing opportunities. Finally, impact and value creation emphasis on improving value for persons with disabilities (PWDs).

The findings of this study have practical implications for Indian NGOs working for PWDs. The study provides NGOs with a structural model for improving organizational capacity by identifying and categorizing critical factors into the strategic model.

There is a scarcity of literature on capacity building for disability-focused NGOs in India. This study seeks to identify critical factors and develop a hierarchical model of those factors to assist policymakers in India in building the capacity of NGOs.

This study aims to fill a knowledge gap about the best ways to execute waste management regulations that support sustainability and environmental responsibility. However, the study seeks to investigate and assess how well waste management systems support sustainability and environmentally friendly behaviors.

Since the quantitative technique was used to discover and generate hypotheses about relationships between variables, it was chosen for the entirety of the study. The data collection from ready-made garments (RMG) in Bangladesh was carried out using a survey strategy that involved the distribution of questionnaires using a cluster sampling approach. The partial least squares structural equation model (PLS-SEM) was used for quantitative analysis with SmartPLS.

However, the results show the importance of waste management, green practice methods and sustainability for the company's goal of maintainable performance. On the other hand, PLS-SEM demonstrated that based on the provided t-statistics and p-values, all of the routes in the structural model are statistically significant at the level of p < 0.05. These routes also appeared to have far broader and more powerful effects. Principles of the circular economy are highlighted, as are the importance of holistic methods, awareness and education, stakeholder participation and fusing these concepts. Furthermore, it seems to affect significantly both short-term and long-term success due to its distinctiveness in sustained performance.

Much time will be required to assess waste management methods and their long-term effects. A healthcare manager may adapt research findings to practice, ensuring the study enhances management and patient care.

This research addresses a significant literature gap by providing managers and policymakers with concrete ideas on integrating sustainability into operational and strategic frameworks. In today's competitive environment, integrating stakeholder engagement and green practices into core company operations is an innovative way to achieve sustainable excellence.

This study aims to identify the strategic factors and their effects on the post-cross-border acquisitions (CBA) technological innovation performance of the acquiring firms. It develops a hierarchical model to examine the interrelationship between identified strategic factors such as strategic flexibility, strategic ambidexterity, environmental dynamism, etc.

This study uses modified total interpretive structural modeling qualitative methodology (m-TISM) to develop a hierarchical model and conducts a Matrice d’impacts croisés multiplication appliquée á un classment (MICMAC) analysis to show the interrelationship between strategic factors affects the acquirer’s post-CBA technological innovation performance. It determines the autonomous, dependent, linkage and independent strategic factors. It further uses comparative case analysis to empirically examine the strategic factors in real-time CBA situations.

This study shows the m-TISM-based hierarchical model highlighting the interrelation, level of autonomy, dependence and linkage among strategic factors affecting the acquirer’s post-CBA technological innovation performance. It suggests that strategic factors such as environmental dynamism, R&D competence, innovation capability and technological capability are largely autonomous and have significant driving power, whereas strategic ambidexterity and strategic flexibility are the connecting factors. post-M&A integration is the governing factor for technological innovation performance in CBA.

The strategists and practitioners could evaluate the key strategic factors having significant driving power for strategy formulation and implementing efficient policies. By implementing the m-TISM model acquiring a firm’s post-CBA performance can be enhanced. Future researchers might utilize quantitative methods like regression and structural equation modeling in the CBA context.

This study uses a novel m-TISM and MICMAC approach to identify the driving and dependent factors affecting post-CBA technological innovation performance. It further provides a detailed theoretical and conceptual understanding relating to the philosophy and establishes an interrelation amongst these under-researched strategic factors in CBA.

The aim of this paper is to explore and analyse the challenges in effective implementation of blockchain by human resource management (HRM) functions. This paper also aims to assess the interplay between the barriers in causing the challenges during blockchain execution.

Ten barriers are discovered from the past studies. Based on the expert views on the identified barriers interpretive structural modelling (ISM) is administered to understand the interplay of these 10 challenges resulting in ineffective or non-implementation of HR blockchain.

The application of ISM has helped in categorizing the variables into strategic, operational and performance outcomes. Results of ISM indicate key barriers like lack of expertise, data privacy, technical infeasibility, complexity in implantation and lack of used cases.

The research is limited to 10 barriers. There can be other barriers that can also be studied. Second, the research is proposing a conceptual model that needs further validation.

This paper has significant implications for the theoretical and practical body of knowledge. So far, most studies are exploring and describing HRM from a digital perspective. Most HR studies are on artificial intelligence, the Internet of Things and smart HRM. Previous studies on blockchain for HRM are mostly describing the advantages of going for it.

Based on the findings, it can also be suggested that policy formulators must advance the technical regulatory framework. Blockchain technology can be effectively implemented only if the top management is committed to it because they can only frame the rules and right control framework, affirm the governance process and strategize improvement.

The study offers insights into the organization's decision makers for effectively implementing blockchain into their HR systems. Some specific recommendations based on the results are also made. The paper is an innovative attempt to analyse the barriers to HR blockchain.

Green entrepreneurship (GE) is a novel concept in business and enhances environmentally friendly production and operation activities for “sustainable development” (SD). The aim of this study is to determine the drivers that contribute to the growth and success of “micro, small, and medium enterprises” (MSMEs) in the manufacturing sector in India. The study also examines the mutual and cause-and-effect relationships among these identified drivers.

The study used integrated research methodology and identified nine key drivers of GE (GEDs) through extensive literature reviews, theoretical perspectives (i.e. “resource-based view” (RBV), “natural resource-based view” (NRBV) and “critical success factor theory” (CSFT)), and expert opinions. Further, “total interpretive structural modeling” (TISM) and “matrice d'impacts croisés multiplication appliquée á un classment” (MICMAC) analysis are used here to develop a hierarchical model and cluster the drivers, and fuzzy “decision-making trial and evaluation laboratory” (fuzzy-DEMATEL) is used to develop causal relationships among the drivers. Further, a sensitivity analysis is conducted to ensure the robustness of the results.

Results indicated that green manufacturing and operation capability development, green business process management and attitudes toward developing sustainable business models significantly impacted GE and SD. The findings of this study help managers, policymakers, and practitioners gain an in-depth understanding of the drivers of GE.

The study considers a limited number of drivers and is specific to Indian manufacturing MSMEs only. Further, a limited number of experts from different enterprises are considered for data analysis. This study is also based on interrelationships and their relative importance based on multicriteria decision-making techniques. This study aids government decision-making, policy formulation and strategic decision-making for manufacturing businesses in achieving SD goals. In addition, this research also encourages green entrepreneurs to start eco-driven companies and facilitate the use of environmentally friendly goods to offset environmental challenges and accomplish sustainable development goals.

This study proposes an integrated methodology that will benefit managers, practitioners and others in developing strategies and innovations to improve and develop green practices. This study further helps with responsive, sustainable business development in various manufacturing MSMEs.