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The study explores the factors affecting the use of smart human resource management 4.0 (SHRM 4.0) practices and its effect on dynamic capabilities and, consequently, on organizational performance.

The authors used socio-technical and dynamic capabilities theory to propose the notable research model. The authors explored the factors driving the use of SHRM 4.0 practices and their contribution to organizational performance through the development of dynamic capabilities. The authors collected data from 383 senior HR managers using a structured questionnaire, and PLS-SEM was used to analyze the data.

The results show that socio-technical factors such as top management support, HR readiness, competitive pressure, technology readiness and perceived usefulness influence the use of SHRM 4.0 practices, whereas security and privacy concerns negatively influence them. Furthermore, the authors also found the use of SHRM 4.0 practices influencing the dynamic capacities (build (learning), integration and reconfiguration) and, subsequently, its impact on organizational performance.

Its novelty lies in developing a model using dynamic capabilities and socio-technical theory to explore how SHRM 4.0 practices influence organizational performance through dynamic capabilities. This study extends the literature on SHRM 4.0 practices, HR technology use, HR and dynamic capabilities by contributing to socio-technical theory and dynamic capabilities and expanding the scope of these theories in the area of HRM. It provides crucial insights into HR and top managers to benchmark SHRM 4.0 practices for improved organizational performance.

The area of leadership and management of the Indian college/university environment is discussed. The various styles of administration are referred to, with special emphasis on the need to build up a professional open relationship with the teachers. The need for special training to assist principals of educational institutions attain the leadership skills required is expressed.

The study aims to analyze the intellectual structure in sustainable procurement (SP) research to identify the knowledge research clusters and provide potential avenues for future research.

The study conducted a bibliometric analysis to analyze the intellectual structure in the area of SP. Overall, 1,294 articles were selected from the Scopus database published between 2000 and 2022. The analysis was conducted using bibliometric R package, Biblioshiny and VOSviewer software. Further, content analysis of research clusters was carried out to set the future research agenda.

The study identifies four major knowledge research clusters of SP, namely, (1) green supply chain practices, (2) socially responsible purchasing, (3) environmental purchasing and (4) public procurement and policy. The study suggests a few research directions in the SP field. Moreover, the future research directions are aligned with specific organizational theories applicable in the area of SP research.

The study is dependent on the Scopus database for the source of research publications on SP. Future studies may consider other research database sources.

Identifying knowledge research clusters of SP research is of paramount importance for developing policies in the near future. These policy initiatives pave the way for the adoption of SP practices in the business. The findings indicate the issues managers encounter while implementing SP in organizations.

The study offers valuable insights concerning parameters such as significant publication outlets, influential countries concerning the number of publications, impactful authors, title keywords and identifying major knowledge research clusters of SP to suggest future research directions. Further, the present study highlights emerging areas that require further research, including process governance, supplier diversity, innovation, the role of emerging technologies and the application of organizational theories in SP.

Human resource analytics (HRA) has developed as a new business trend and challenge, stressing the strategic relevance of human resource management (HRM) to senior management executives. HRA is a process that uses statistical techniques, to link HR practices to organizational performance. The purpose of this study is to carry out recent development in HRA, bibliometric analysis and content analysis to present a comprehensive account of HRA to fill the gap in the evolution and status of its research.

The study is based on the recent advances in HRA in terms of it evolution and advancement by analyzing and drawing conclusions 480 articles retrieved from the Web of Science (WoS) database from 2003 to March 2022. The methodology is divided into four steps: data collection, analysis, visualization and interpretation. The study performed a rigorous bibliometric assessment of HRA using the bibliometric R-package and VOS viewer.

The findings based on the literature survey, and bibliometric analysis, reveal the path-breaking articles, the prominent authors, most contributing institutions and countries that have contributed to the HRA scholarship. The results show that the number of publications has significantly increased from 2015 onwards, reaching a maximum of 101 journals in 2021. The USA, China, India, Canada and the United Kingdom were the most productive countries in terms of the total number of publications. Human Resource Management Journal, Human Resource Management, International Journal of Manpower, and Journal of Organizational Effectiveness-People and Performance are the top four academic outlets in the field of HRA. Additionally, the study identifies four clusters of HRA research and the knowledge gaps in HRA scholarship.

The present study is based on the articles retrieved from the WoS. The study underpins HRA research to understand the trends and presents a structured account. However, the study is not free from limitations. It is recommended that future research could be undertaken by combining WoS and Scopus databases to have a more detailed and comprehensive view. This study indicates that the field is still in its infancy stage. Hence, there is a need for more arduous research on the topic to help develop a better understanding of this field.

The findings of knowledge clusters will drive future researchers to augment the field. The evolution of the four clusters and their subsequent development will fill the gaps in the literature. This study enriches the HRA literature and the findings of this study may assist academicians, researchers and managers in furthering their research in the identified research clusters

Presents a need to look at commitment of teachers to their profession in terms of effect, goals and values of the profession. Measuring commitment on this basis, explores the contributing factors and variables to commitment. Empirical evidence on 454 senior secondary school teachers of Delhi, with the help of discriminant analysis, revealed that perceived characteristics of profession, workrelated personality and desire to improve one′s own skills were contributing in that order. The constituent variables that discriminated more and less committed teachers were perceived status, expectations of significant persons, interest in profession, intrinsic motivation, social support, positive group attitudes, perceived advancement and desire to improve skills for professional purpose.

During the past decade, the necessity to integrate manufacturing and sustainability has increased mainly to reduce the adverse effect on the manufacturing industry, transforming traditional manufacturing into smart manufacturing by adopting the latest manufacturing technology as part of the Industry 4.0 revolution. Smart manufacturing has piqued the interest of both academics and industry. Manufacturing is a foundation of products and services required for human health, safety, and well-being in modern society and from an organizational standpoint. This paper uses bibliometric analysis better to understand the relationship between smart manufacturing and sustainability scholarship and provide an up-to-date account of current industry practices.

This paper used the bibliometric analysis method to analyze and draw conclusions from 839 articles retrieved from the Scopus database from 1994 to February 2022. The methodology is divided into four steps: data collection, analysis, visualization, and interpretation. The current study aims to comprehend smart manufacturing and sustainability scholarship using the bibliometric R-package and VOSviewer software.

The study provides fascinating insights that may assist scholars, industry professionals, and top management in conceptualizing smart manufacturing and sustainability in their organizations. The results show that the number of publications has significantly increased from 2015 onwards, reaching a maximum of 317 journals in 2021 with an increasing publication annual growth rate of 21.9%. The United Kingdom, India, the United States of America, Italy, France, Brazil and China were the most productive countries in terms of the total number of publications. Technological Forecasting and Social Change, Journal of Cleaner Production, International Journal of Production Research, Production Planning and Control, Business Strategy and the Environment Technology in Society, and Benchmarking: An International Journal emerged as the top outlets.

The research in the area of smart manufacturing and sustainability is underpinned by this study, which aims to understand the trends in this field over the last two decades in terms of prolific authors, most influential journals, key themes, and the field's intellectual and social structure. However, according to the research, this field is still in its early stages of development. As a result, a more in-depth analysis is required to aid in the development of a better understanding of this new field.

The paper focuses on integrating smart manufacturing and sustainability through increased interest from 2015 onwards through the literature review. Specific policies should be formulated to improve the manufacturing sector's competence. Furthermore, these findings can guide researchers who want to delve deeper into smart manufacturing and sustainability.

Explores the use of a multi‐objective programming approach as a method for supplier selection in a just‐in‐time (JIT) setting. Based on a case study, develops a model of JIT supplier selection which allows for simultaneous trade‐offs of price, delivery and quality criteria. The analysis occurs in a decision support system environment. A multi‐objective programming decision support system is seen as advantageous because such an environment allows for judgement in decision making while simultaneously trading off key supplier selection criteria. An additional flexibility of this model is that it allows a varying number of suppliers into the solution, and provides suggested volume allocation by supplier.

This study aims to identify various teachers’ professional activities (TPAs) and classify these TPAs according to their relative importance for the professional development of teachers.

The systematic review of the literature had been conducted to identify various TPAs in the institutions. Later, an empirical research had been conducted through confirmatory factor analysis using AMOS 20.0 to classify these TPAs according to their relative importance using the natural gap in standardized beta (β) values. In total, 96 administrators of 35 technical institutions of Punjab (India) offering engineering and management programs and 93 veteran educational experts had responded in a field survey.

The results of the study identified eight TPAs and further revealed that “regular self-assessment,” “adopting a creative problem-solving approach” and “developing deep commitment to make the difference” qualify among the “most important” activities for the professional enhancement of the faculty.

The study highlights different TPAs that they must establish, raise, promote, encourage and organize for their development. The study further classifies different activities according to their relative importance. The institute can evaluate their resources, budgets and efforts according to the relative importance of such activities. The classification of TPAs would help faculty to increase their efficacy.

Research in educational settings has indicated, inter alia, that the organizer and administrator’s personality (principal’s), ways of working, the nature of her/his interpersonal relationships and administrative practices or behavior are likely to be some of the important reasons behind the differential performance of schools. Perhaps, this is so because “experience without wisdom” can be a trap. Headships who reflect on their own interpersonal behavior create opportunities for components of the school (teachers, students, non‐academics and parents) to realize their individual capabilities in the face of rapidly changing demands of growth and job satisfaction (e.g. reduced interpersonal conflicts). Every such stakeholder has an eye on the managerial capabilities of the principal of the school. Thus, more interpersonally skillful and gifted the leadership available in a school, the more performing the institution.

Presents an application of analytic hierarchic process (AHP) for evaluating the sources of supply in a materials management situation. Evaluation of alternative sources is an unstructured decision problem involving multiple factors and attributes generic at different levels. In order to facilitate decision support to the materials managers, an all encompassing effective analysis is needed to determine the right supply source so as to be compatible with the organizational objectives. It seems that AHP helps in providing such a decision support.