Search results

The study explores inclusive and sustainable growth in Micro, Small and Medium Enterprises (MSME) by examining people-oriented practices that expand employment opportunities for women. It uses the Conservation of Resources Theory to explore sustainable HRM practices like telecommuting, managerial support and understanding generational preferences to enhance women's well-being.

The study captures the impact of HRM practices on employee well-being using multi-source data that were collected through an online questionnaire administered to 2,856 female employees in 18 Indian MSMEs. We then use PLS-SEM (SmartPLS-4 and PLS-multi-group analysis (PLS-MGA)) to analyze predictors of employee well-being.

The data analysis revealed that satisfaction with HRM practices positively impacted employee well-being. Secondly, satisfaction with telecommuting mediated the relationship between satisfaction with HRM practices and employee well-being. Thirdly, managerial support positively moderated the relationship between satisfaction with telecommuting and well-being. Lastly, generational cohort membership moderated the satisfaction with HRM policies and well-being, with Generation Z having a stronger need than Generation Y.

This study emphasizes the significance of robust and gender-sensitive HRM practices in MSMEs in high-growth emerging markets. It emphasizes the need for telecommuting policies and the role of managers in creating a supportive work environment for women. By implementing these insights, MSMEs can develop effective strategies to attract, retain and promote the well-being of women employees, thereby fostering sustainable HRM practices.

This study explores sustainable MSME HRM practices supporting gender inclusions and women’s well-being in high-growth emerging markets. By focusing on gender inclusion and the impact of telecommuting, generational preferences and managerial support, we contribute to mechanisms for sustainable labor as an economic and social concept.

The purpose of this paper is to explore future directions in E-learning research by analysing data from Scopus indexed publications in order to have a comprehensive overview of the trends and thematic focus post COVID-19 in Asian context.

The paper uses Vos viewer and Biblioshiny software packages to analyse the bibliometric data. This software helped in identifying the anatomy of E-learning and their themes which were instrumental in forecasting future trends.

The paper depicts the trends in post COVID-19 E-learning research in Asian context. It identifies key publications, authors and journals in the field, with a focus on numerous networks of collaboration between writers and nations, identifying keyword clusters and co-citation analysis clusters. This study also explored that China and the USA are having maximum number of collaborations, whereas, countries like India, the United Kingdom, Singapore and New Zealand have comparatively weaker collaboration networks. So there is lot of potential for these countries for such collaborations. India is the most cited country globally and China is having maximum number of scientific productions per year.

The paper has been written by exclusively referring to Scopus database papers. Collecting data from different databases would significantly improve the study. Future researchers can also focus on papers from psychology, computer science and engineering fields as current work is based on open access articles on social business, business and arts and humanities.

This research will be useful to educational institutions that use these platforms to offer E-learning content and match future trends. This study will help researchers in understanding the new dimensions in the field of E-learning.

The current study uses bibliometric analysis to examine the association between E-learning, higher education and COVID-19. It aids in the identification of new difficulties within the complex and expanding study fields in the world of E-learning. Newly published studies on E-learning trends can improve understanding and bridge the knowledge gap. As a result, recommendations can be made to improve and implement newer strategies in field of education.

Induction heating as an energy source is a novel, recent method in extrusion-based metal additive manufacturing. The purpose of this paper is to develop an optimized coil for extrusion-based metal wire additive manufacturing. The optimized coil is so designed that uniform temperature distribution can be achieved in the extruder, achieving uniform material deposition in a semi-solid state, which is required for additive manufacturing.

Coil shape optimization is achieved by using arrangement of coil turns as a control variable in the form optimization process, and the objective function is to minimize the gradient in the distribution of the magnetic field to achieve uniform heating in the extruder for maintaining consistent solid and liquid fraction during material deposition. A combination of numerical solutions and geometrical optimization has been used for this study.

Experimental and simulation results reveal that the optimized induction coil produced a more uniform axial temperature distribution in the extruder, which is suitable for maintaining a uniform solid-to-liquid fraction ratio during material deposition.

The author has investigated the use of optimized-shaped induction coils in extrusion-based additive manufacturing. The optimized coil can achieve a more uniform temperature distribution in the extruder in comparison to the standard helical coil used in the existing process, which means optimized coil achieves a more uniform solid-to-liquid ratio during printing in comparison to existing standard coil shapes used for heating extruders and fulfils the requirement of additive manufacturing.