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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.

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.

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.

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.

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

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.

The personality of an individual plays a vital role in the way an individual perceives organizational politics and justice in the workplace. However, there is meager research on how an individual's personality affects the perceptions of organizational politics and justice. This study endeavors to fill this gap by analyzing the mediating role of organizational politics perceptions on the relationship between Big Five personality dimensions and organizational justice by controlling various demographic variables. The study also proposes a benchmarking model that the policymakers can use to create positive organizational justice perceptions.

In this cross-sectional research, the data were collected through a multi-stage random sampling technique from 493 faculty members working in four public universities of Punjab, India. Out of 493 employees, 76.9% of the employees were assistant professors, 12.0% were associate professors and 11.2% were assistant professors. 51.5% of the employees were female, and 48.5% of the employees were male. To test the proposed hypothesized relationships, a structural equation modeling technique was used.

Results of the structural equation modeling showed that openness to experience, conscientiousness and extraversion have a negative relationship with perceptions of organizational politics. However, their relationship with perceptions of organizational justice is positive. Neuroticism has a positive relationship with perceptions of organizational politics, whereas it has a negative relationship with perceptions of organizational justice. Results also showed that high perceptions of organizational politics have a negative effect on employee's perceptions regarding organizational justice. The mediation analysis results showed that perceptions of organizational politics mediate the relationship between an individual's personality and perceptions of organizational justice.

There is a scant amount of research available that considers Big Five personality dimensions and organizational politics as the antecedents of organizational justice. Hence, the current study tries to fill this research gap by proposing a research model on antecedents and consequences of perceptions of organizational politics based on the cognitive-affective processing system (CAPS).

In the present context of a globalised economy, market requirements are changing regularly in term of product cost, delivery time, safety and environmental issues. Apart from conventional measures, environmental factors have become an integral part of performance measurement system. This study aims to analyse major barriers and factors in green supply chain (GSC) management implementation.

The present study has tried to identify barriers and factors for green supply chain management (GSCM) based on literature review. Factors for GSCM have been modelled by interpretive structural modelling (ISM) approach.

Based on literature review, 12 factors have been identified. It has been observed that top management commitment, integration among supply chain members, vendors’ development, environmental friendly packaging and transportation, reverse logistic management and development of a green performance measurement system are major drivers for successful implementation of GSCM.

Organisations need to follow a proactive approach for taking GSC initiatives. For generalisation of findings, empirical study and some case studies need to be carried out.

Findings of this study will help organisations in strategy formulation for GSCM and successful implementation for sustainable competitiveness.

Learning outcomes of this paper are to analyse, record and classify financial transactions; prepare unadjusted trial balance; record the adjustment and closing entries and prepare post-closing trial balance; and prepare financial statements.

The case aims to induce users to draw up financial statements from the details provided. The complete accounting process is covered through solving the case. The case follows a start-up company from its first set of financial transactions to preparing the first set of financial statements. The case will help in application of accounting concepts, principles and the processes for recording transactions and preparation of financial statements.

The case is best suited for senior undergraduate- and graduate-level students of management/business schools in the courses of introductory financial accounting, intermediate accounting and financial reporting.

Teaching notes are available for educators only.

CSS 1: accounting and finance.

In the last 10 years, the global financial services industry has significantly benefited from fintech. As the Indian entrepreneurial ecosystem continues to change, more fintech-use case-driven firms are created, and more investors are supporting these enterprises. India is acknowledged as a powerful fintech centre internationally.

The goal of the current research is to comprehend the revolutionary landscape of the Indian financial system.

Methodology: The research methodology entails a thorough review of several research papers and government reports better to understand fintech's role in the Indian financial system. This requires examining the trends, regulations and technical breakthroughs driving the fintech ecosystem to present a comprehensive picture of its influence.

The present chapter indicates that the fintech industry is flourishing in India. Over the following years, technological improvements will fuel the market's continuous expansion and change how financial products and services are produced, distributed and used.

This study systematically explores the patterns and connections in the behavioural bias and investment decisions of the existing literature in the Scopus database published between 2007 and 2022. The purpose of this paper is to address this issue.

In the article it was determined which contributed documents were the most significant in this particular subject area along with the citations, publications and nations that were associated with them. The bibliographic coupling offered more in-depth insights into the papers by organizing them into distinct groups. The pattern of the publications has been brought to light, and the connection between different types of literature has provided insight into the path that future studies should take.

This study considered only articles from the Scopus database. Future studies can be based on papers that have been published in other databases.

The outcome of this study provides valuable insights into the intellectual structure and biases of investors and adds value to existing knowledge. This review provides a road map for the future trend of research on behavioural bias and investment decisions.

The purpose of this paper is to empirically investigate linkage among productivity, quality, and business performance in home-based brassware units in India.

This study involved action research of home-based brassware units applying procedures for three-stage least-squares (3SLS) regression analysis, with data obtained through questionnaire survey based on convenience sampling.

This study has supported the established belief that quality leads to productivity, and subsequently productivity leads to better business performance for home-based brassware units in India. The consistent and logical result of this study using 3SLS regression analysis has provided empirical understanding of the appropriate linkage among productivity, quality, and business performance.

This study has limitations of findings, as it studied the home-based brassware units in the Indian context only.

This study implies that marketable home-based brassware products are to be produced by taking into account boundaries of production within the framework of goals and value created by motivation and dependability for monitoring the business performance. Identifying an appropriate linkage among productivity, quality, and business performance may project a holistic evaluation of the policy development related to home-based brassware units.

This is an original study to test empirical linkages among productivity, quality, and business performance using 3SLS regression analysis particularly for home-based brassware units in India.

How psychological variables especially self-efficacy plays significant role to attain workplace well-being is yet to be explained. The extant literature calls for further research works in the field of sustainability practices to bridge the gap between self-efficacy and workplace well-being. The purpose of this paper is to extend the literature of workplace well-being while scientifically examining the moderating role of sustainability practices.

The study collected data from 527 full-time executives of Indian public and private manufacturing industries. The authors performed moderated regression analysis through a series of hierarchical models to test the hypotheses of the study.

The result indicates positive relationship between self-efficacy and workplace well-being. Furthermore, the result suggests that the relationship between self-efficacy and workplace well-being was stronger among executives with high level of sustainability practices and vice versa.

The cross-sectional sample of executives employed in Indian manufacturing organizations limits the generalizability of the findings.

HR functionaries and senior management may benefit by closely examining their sustainability practices along with their employees perceived ability to address workplace well-being.

The study contributes to extend the literature on self-efficacy and workplace well-being. This research work is one of the first few studies to examine the moderating effect of sustainability practices.

Introduction: With a rapid increase in the application of artificial intelligence and machine learning, new Artificial Intelligence (AI) technologies are now playing a vital role in evolving green human resource management practices in the sustainable development of organizations. A thorough analysis of the part of AI technologies in Green Human Resource Management (GHRM) is still an ongoing process.

Purpose: This chapter/study aims to provide an overview of the changing paradigm of human resource management practices into Green Human Resource Management Practices and the role of Artificial Intelligence interventions in various aspects of talent management, talent acquisition, and talent retention.

Design/methodology/approach: This study is based on the systemic review of 37 research studies and reports on human resource management practices, green human resource management, artificial intelligence, and talent management strategies.

Findings: The findings below show a change in human resource management practices encouraging new technologies, software solutions, and artificial intelligence. Green management practices are overtaking the traditional mindsets and work environment. This transformation has synergized the adoption of artificial intelligence and G-HRM practices, encouraging innovative and positive work behaviors.

Originality/value: The originality of this study lies in fulfilling the existing gap in the studies of the role of artificial intelligence and its effects on green human resource management. Its value counts in showing the aspects of innovation in HRM with sustainability and advanced technology.