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This paper aims to explore the impact of fourth-party logistics (4PL) adoption on the agility, adaptability and alignment (AAA) capabilities within humanitarian supply chains (HSCs).

Semi-structured interviews with individuals from a large non-government organisation were combined with secondary data to assess the influence of 4PL adoption on AAA capabilities in HSCs.

The results indicate that HSCs exhibit some of the AAA antecedents but not all are fully realised. While 4PL positively affects the AAA capabilities of HSCs, its adoption faces challenges such as the funding environment, data security/confidentiality and alignment with humanitarian principles. The study suggests an AAA antecedent realignment, positioning alignment as a precursor to agility and adaptability. It also identifies three core antecedents in HSCs: flexibility, speed and environmental uncertainty.

The study shows the positive impact 4PL adoption can have on the AAA capabilities of HSCs. The findings have practical relevance for those wishing to optimise HSC performance through 4PL adoption, by identifying the inhibiting factors to its adoption as well as strategies to address them.

This research empirically explores 4PL’s impact on AAA capabilities in HSCs, highlighting the facilitating and hindering factors of 4PL adoption in this environment as well as endorsing a realignment of AAA antecedents. It also contributes to the growing research on SC operations in volatile settings.

While rapid increase in demand for foods but limited availability of croplands has forced to adopt input-intensive farming practices to increase yield, there are serious long-term ecological implications including degradation of biodiversity. It is increasingly recognised that ensuring agricultural sustainability under the changing climatic conditions requires a change in the production system along with necessary policies and institutional arrangements. In this context, this chapter examines if climate-smart agriculture (CSA) can facilitate adaptation and mitigation practices by improving resource utilisation efficiency in India. Such an attempt has special significance as the existing studies have very limited discussions on three main aspects, viz., resource productivity, adaptation practices and mitigation strategies in a comprehensive manner. Based on insights from the existing studies, this chapter points out that CSA can potentially make significant contribution to enhancing resource productivity, adaptation practices, mitigation strategies and food security, especially among the land-constrained farmers who are highly prone to environmental shocks. In this connection, staggered trench irrigation structure has facilitated rainwater harvesting, local irrigation and livelihood generation in West Bengal. However, it is necessary to revisit the existing approaches to promotion of CSA and dissemination of information on the design of local adaptation strategies. This chapter also proposes a change in the food system from climate-sensitive to CSA through integration of technologies, institutions and policies.

Principally, this study aims to test a conceptual framework of the moderating influence of fear of COVID-19 on the following hypothesized relationships (1) quality of work life and bankers' commitment, (2) the mediating spillover effect of job satisfaction in the quality of work life (QWL) and affective commitment relationship.

A quantitative cross-sectional research design is adopted on 318 bankers chosen from four prominent Indian cities. The mediation model is tested through SPSS, PROCESS macro, and AMOS. Conditional process modeling is also administered to test the moderating effect of fear of COVID-19.

The results suggest that the positive effect of QWL on commitment is completely mediated through job satisfaction. Further, the fear induced by COVID-19 negatively moderated the positive direct relation of QWL with commitment and the positive mediating spillover effect of job satisfaction.

The present research is virtually the first to introduce fear of COVID-19 as a psychological construct, to test a moderated mediation model for implications to organizational behavior and human psychology theory and practice. In coalescence of the need satisfaction, spillover, and COR theories, the authors postulate that as spillover between the domains of an individual's life (work, social, financial, personal, and overall life satisfaction) occurs, such effect is calibrated (augmented or attenuated) by the degree of risk/threat/depletion of their resources in the quest for attaining higher valued resources (overall life satisfaction). The moderated mediation mechanism is suggested for replication in other avenues for greater generalizability.

The purpose of this study is to examine the impact of financial and technical education of chief executive officer (CEO) on investment–cash flow sensitivity (ICFS) of Indian manufacturing firms.

The study uses the dynamic panel data model and more specifically, the system-generalized method of moments (GMM) technique to investigate the effect of CEOs' education on ICFS of Indian manufacturing firms during the period 1998–1999 to 2016–2017.

The study shows that financial (technical) education of CEOs does (not) affect ICFS. The results explain that the role of the CEO's education in ICFS is highly significant during the crisis period. The robustness test depicts that the influence of financial education on ICFS is less (more) for group-affiliated and large-sized firms (stand-alone and small-sized firms). Further, the CEO's education is significantly associated with corporate investment decisions.

Due to the unavailability of the CEO's compensation data for the selected sample, future research could explore the impact of CEO's education with respect to CEO's compensation on ICFS.

First, the authors find that financially educated CEOs affect ICFS; therefore, firms should take care of CEO's education during recruitment of CEOs. Second, lending agencies should also consider the educational background of the CEO before approval of funding to make it safe. Third, investors should keep in mind the educational background of the CEO for the growth of their investment as it may be easier for financially educated CEOs to borrow from the market at the time of requirement.

This study contributes to the existing literature by providing empirical evidence through analyzing the impact of a CEO's education on ICFS in the context of India. This study is very unique in itself as it uses the sample of manufacturing sectors of India, which are growing very fast and attracting global investors to create a global hub of manufacturing in India. This study also considers different types of education such as financial and technical education of CEOs in the context of a developing economy like India. This study made its findings robust across company characteristics and periods based on the financial crisis.

The purpose of this paper is to investigate the mediating role of process simplification on the relationship between process integration and upstream supply chain flexibility in Indian automotive organizations.

The three-step mediation analysis was performed using SPSS macro PROCESS to assess the mediating role of process simplification on the relationship between process integration constructs: top management commitment and supplier relationship; and upstream supply chain flexibility.

The results indicate a complete mediation effect of process simplification between supplier relationship and upstream supply chain flexibility, while partial mediation effect is noticed between top management commitment and upstream supply chain flexibility.

For Indian automotive managers, the study suggests that for improving the upstream supply chain flexibility, organizations must have a strategy towards improving the simplification of supply chain processes by upgrading technology and providing training to their suppliers. This understanding will help the automotive managers to simplify their upstream supply chain processes for gaining competitive positioning and maximizing the organizational profit.

This study has considered the mediating role of process simplification (a relatively less studied variable) specifically in the context of its impact on upstream supply chain flexibility. Also, the presented study explores this role in the Indian automotive domain which further enhances its value for both practitioners and researchers alike.

The purpose of this paper is to identify and rank the contextual relationship among the quality management (QM) constructs for manufacturing and its related service organizations providing integrated value bundles, which has got limited research attention.

The QM constructs of manufacturing and services are selected by performing the citation analysis. Studies related to manufacturing and service are selected by reviewing their citations index in the three major research databases namely ProQuest, Scopus and Google Scholar. The subjective responses from both industry and academia are taken in order to gain better understanding of the contextual relationship among the QM constructs. Finally, an integrated model is proposed using Micmac analysis and Interpretive Structural Modeling (ISM).

The citation analysis lead to identification of 12 QM constructs: top management commitment, supplier relationship management, human resource management, strategic focus, customer focus, quality of information sharing, process management, servicescape, employee involvement, service quality, supply chain flexibility and customer satisfaction. The expert opinions of executives in the automotive industry and academia resulted in the development of contextual relationships among the identified QM constructs for the development of an ISM model, which is a major contribution of this study.

The unique focus of this study is on analyzing the contextual relationship among QM aspects in manufacturing and services as clubbed offering. The researchers in the existing literature have so far differentiated between manufacturing and services but this study integrates the QM constructs for manufacturing and its associated services through expert feedback and proposes an ISM model.

The purpose of this paper is to explore various limitations of conventional mining systems in extracting useful buying patterns from retail transactional databases flooded with Big Data. The key objective is to assist retail business owners to better understand the purchase needs of their customers and hence to attract customers to physical retail stores away from competitor e-commerce websites.

This paper employs a systematic and category-based review of relevant literature to explore the challenges possessed by Big Data for retail industry followed by discussion and implementation of association between MapReduce based Apriori association mining and Hadoop-based intelligent cloud architecture.

The findings reveal that conventional mining algorithms have not evolved to support Big Data analysis as required by modern retail businesses. They require a lot of resources such as memory and computational engines. This study aims to develop MR-Apriori algorithm in the form of IRM tool to address all these issues in an efficient manner.

The paper suggests that a lot of research is yet to be done in market basket analysis, if full potential of cloud-based Big Data framework is required to be utilized.

This research arms the retail business owners with innovative IRM tool to easily extract comprehensive knowledge of useful buying patterns of customers to increase profits. This study experimentally verifies the effectiveness of proposed algorithm.

Internet services are being deployed over an infrastructure that involves co‐operation between multiple organizations and systems. This has necessitated the need for standard means to share the information between the service providers and their customers. This information essentially pertains to the service level obligations between the service provider and their customers so that the customers can ensure the quality of service (QoS) that they are able to achieve at their end. A service level agreement (SLA) essentially quantifies the level of service as it includes the metrics that define the quality of service. The research undertaken identifies the QoS dimensions, which are required to define the multimedia services. Each application used by the user will involve different values of the QoS dimensions in order to maintain an expected level of service. The QoS requirement for a particular application will also depend upon the provisioning of the network resources depending on the client and server side CPU and memory available for processing. The relationship between the system resources, QoS dimensions and the SLA has been depicted in the form of a general model of SLA and as an example taken for the video conferencing application.

The purpose of this paper is to explore the talent acquisition practices adopted by startups and understand how small entrepreneurs leverage social capital to address the talent acquisition challenges faced by them, and; identify some of the unique parameters adopted by startups in talent acquisition.

This study uses a multiple case study method to explore the talent acquisition practices in startups in India. The study included six case studies on startups in Hubli city of North Karnataka in India.

This paper finds that startups (especially in smaller cities) face challenges such as lower quality of talent pool, absence of a brand name, inability to provide competitive salary and other benefits as per industry standards and locational disadvantages in talent acquisition. Thus, entrepreneurs leverage their social capital for talent acquisition by handpicking talent on the basis of familiarity or credible networks and recommendations. Incubation centres provide institutionalized sources of social capital to help them attract good talent. This study finds that employee-culture fit and trust play important role in acquiring talent in startups.

The study has implications for startup entrepreneurs, recruitment service providers, incubation centres, trainers, policymakers, etc. The study provides useful insights to the startups with regard to their recruitment practices.

This study contributes to the literature in the domains of talent acquisition, startups and social capital by describing hiring challenges faced by startups and exploring the mechanisms used by them in overcoming such challenges.

This study aims to conduct an extensive bibliometric analysis of research across COVID-19 and human resource management (HRM). It captures an exhaustive conceptual understanding of theoretical foundations, research trends, developments and research directions in the HRM domain.

A set of 505 HRM and COVID-19-specific articles collected from the Scopus database were systematically analyzed using a two-tier method. In the first tier of analysis, the evolution and current state of research are identified using citation analysis. In the second tier, network analysis and content analysis of research clusters and thematic mapping are done to identify the prominent research themes and research gaps and suggest future research directions.

The study highlights the emergence of six research clusters: SHRM and competitive advantage, employer branding and employee engagement, crisis management and resilience, challenges, career shock and job demand resources and burnout. The thematic mapping categorizes the themes into four categories: motor, basic, emerging or declining, and niche research themes published on COVID-19 and HRM. To understand the socio-cultural dynamics and cross-cultural issues during human resource management, the findings emphasized the need for the increased contribution of researchers and practitioners, especially from the developing and emerging nation’s context. Increased co-authorship among influential authors and institutions will also help formulate strategies and policies to effectively deal with similar pandemics.

Unlike the previous literature review, the present findings provide meaningful insights for formulating people management techniques, policies, and practices in response to COVID-19 or similar pandemics.