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This study aims to elucidate a framework to attain sustainable employment driven by contextual and dispositional determinants mediated by job crafting. The factors under investigation encompass high-quality leader-member exchange (LMX), job characteristics in alignment with the job characteristics model (JCM) and individuals’ approach temperament.

This study identified a sample of 222 corporate professionals residing in the Delhi/NCR region. This study used SmartPLS 4 to conduct structural equation modeling to examine and interpret the obtained data.

Collectively, LMX, job characteristics and approach temperament exert a beneficial influence on employees who actively engage in job crafting, subsequently enhancing sustainable employment. The findings confirm that the relationship between approach temperament and sustainable employment is fully mediated by job crafting. Furthermore, job crafting partially mediates the relationship between (1) LMX and sustainable employment and (2) job characteristics and sustainable employment.

Through our study, organizations can gain valuable insights into enhancing employees’ sustainable employability by fostering job crafting. Achieving this objective involves incorporating contextual and dispositional elements like LMX and job characteristics and training individuals on approach temperament.

This unique study aims to establish a framework to achieve sustainable employment initiated by contextual and dispositional factors. It also contributes to the literature by presenting the mediation effect of job crafting between contextual and dispositional factors and sustainable employment.

The study seeks to conduct an empirical investigation on the impact of entrepreneurship education (EE) through its components, i.e. entrepreneurial knowledge (EK) and business planning (BP) on entrepreneurial intentions (EI) in India.

An electronic questionnaire was used to collect data from 340 engineering students and partial least square-structural equation modeling (PLS-SEM) was used to analyze the collected data.

The findings revealed that EK and BP have no direct impact on EI, however, they have an indirect influence through attitude towards entrepreneurship (ATE) and perceived behavioral control (PBC), whereas subjective norms (SN) have no mediation impact on the relationships.

This research has been conducted on students of engineering background only, future studies can be carried out by incorporating more attitudinal and environmental determinants with larger data sizes from diverse educational streams.

This study is of immense significance to policymakers and educational establishments in designing the purposefully designed EE courses that can drive the entrepreneurial intentionality of students.

The study adds to the paucity of research on the systematic elaboration of EE construct underlining the specific impact of EK and BP as EE dimensions on students' EI. To the best of authors' awareness, this kind of investigation has not been conducted in indian higher educational institution (HEI) context.

This study examines the impact of doing, using and interacting (DUI) and science, technology and innovation (STI) learning mechanisms on firm performance, investigating their influence on financial performance through innovative performance in machine tools and textile manufacturing firms in Ludhiana, Punjab, India.

Primary data was collected through a survey of 202 manufacturing firms across two industries, as secondary data inadequately captures learning mechanisms, particularly for DUI mode. The study employed structural equation modelling (SEM) alongside descriptive analysis to examine the impact of STI–DUI learning mechanisms on performance.

The study reveals that firms, despite minimal investment in formal R&D, effectively learn through networking and imitation (DUI mechanisms). They also benefit from local industrial training institutions. Notably, innovative performance mediates the relationship between learning mechanisms (imitation, networking and industry institutions) and firms' financial performance.

The literature was found to be scant in terms of understanding the nature of firms learning mechanism, especially for the firms undertaken for the analysis. Although having distinguished nature of knowledge and learning required to compete for the products manufactured in machine tools and textiles industries, local conditions, domestic national institutions and regional aspects makes the industries unique case to understand the challenges amidst unique features of these industries. The study is expected to fill-in the gap in the literature of manufacturing industries belonging to developing countries in the era of increasing technological competition in the integrated world economies.

Corporate leadership and environmental, social and governance (ESG) performance are closely intertwined, as effective corporate leadership can facilitate the achievement of strong ESG performance. Thus, the purpose of the study is to investigate the impact of corporate board leadership on the ESG performance of listed firms.

The sample has been taken from the listed firms of the Nifty 500 index spanning the period of 10 years from 2012 to 2022. Dynamic panel data estimations are applied through a fixed effect model.

The findings of this study revealed that board size, board independence and board qualification have a significant positive influence on ESG performance. It is evident that good corporate governance practices can positively influence ESG performance by fostering accountability, transparency and ethical behavior, as well as better integrating ESG considerations into their decision-making processes and ensuring that ESG issues are prioritized at the highest levels of management. Further findings also revealed that chief executive officer (CEO) duality has a significant negative relationship with ESG performance, which goes against the belief of stakeholder theory.

It has practical implications for policymakers, as they can enact new regulations pertaining to the CEO’s position in the organizations to make corporate governance responsible for improved sustainability and ESG performance.

There are very few studies analyzing the impact of corporate board structure on ESG performance related to emerging markets. Thus, this study contributes to that literature by using the methodology GMM panel data for the first time as per our knowledge

This study aims to examine how various green HRM practices – such as hiring, training, pay and rewards and teamwork – impact overall green behaviour by considering the mediating roles of task-related and voluntary green behaviours and the moderating effect of environmental concern.

The data for this study was collected from 398 employees of manufacturing companies in North India using purposive sampling. Structural equation modelling was employed to test the hypothesised relationships, while bootstrapping and the normal theory method were used for the mediation analysis. The Hayes Process Macro was applied for the moderation analysis.

The findings revealed significant relationship between green HRM practices and employees’ green behaviour with task-related and voluntary green behaviours acting as a significant mediator. Additionally, environmental concerns significantly moderate these relationships.

The study offers implications for HR managers, practitioners and policymakers, highlighting the importance of incorporating environmental aspects when framing their policies. Integrating various green HRM practices is essential to create environmental responsibility within the organisation.

Research on Green HRM and employee behaviour is in its nascent stage in developing countries like India, particularly within the manufacturing sector.

Purpose: Manufacturing has always been considered a backbone for economic growth. It has been considered an imperative sector in the growth of an economy. This study aims to trace the long-term relationship between gross domestic product (GDP) and manufacturing sector in the context of Indian economy.

Need for the study: According to research, the significance of the manufacturing sector is waning over time. This chapter studies the long-term relationship between the GDP, an indicator of growth, and the manufacturing sector. Over the last few decades, the contribution of manufacturing has been stagnant in the GDP of India.

Methodology: The decadal growth of various sectors in the GDP of India is studied using time series analysis. This study used the data released by the Ministry of Statistics and Programme Implementation (MOSPI) from 1950–1951 to 2013–2014. The long-term relationship between the sector of manufacturing and the GDP is examined through the augmented Dicky–Fuller (ADF) test and auto-regressive distributed lag (ARDL) models.

Findings: The findings suggest that in the Indian scenario, there is no relationship for an extended period between the GDP and the manufacturing sector, which calls for further policy implications.

Practical implications: India, while having the world’s fastest-growing economy, must continue to take steps to attain high growth rates and long-term sustainability by reducing obstacles to the expansion of the service sector in addition to manufacturing. Manufacturing-led services are to be boosted through policy interventions.

The growing prevalence of digitalisation in economies has brought attention to the significance of digital transformation and its potential to enhance the competitiveness of enterprises within the emerging market. Nevertheless, it is important to note that disruptive changes are not limited to the organisational level, as they also have broader implications for the environment, society and institutions. The incorporation of technology into the field of education, often known as educational technology (EdTech), has undergone a significant evolution in recent times, fundamentally transforming the methods and processes of teaching and learning. This chapter delves into the multifaceted landscape of digital transformation in the field of EdTech from the perspective of sustainable development, elucidating the wide range of opportunities and challenges that consumer, educators, institutions and technology providers and various stakeholders face when they embark on this journey. Further, this chapter also sheds light on how to overcome the challenges faced by the stakeholders in digital transformation of EdTech for quality education.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

A doing, using and interacting (DUI) approach can significantly enrich an organization’s capacity to learn without considerable investment in formal R&D activities. By placing greater emphasis instead on such as imitation and network building, these operators become better placed to ensure learning positively affects performance.

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