Mapping the Link between Corporate Social Responsibility (CSR) and Human Resource Management (HRM): How Is This Relationship Measured?

Talent management and job satisfaction of medical personnel in Polish healthcare entities

Background

There is a mass exodus of qualified medical personnel in countries such as Poland. As a result, it is becoming increasingly important to study the satisfaction of medical personnel employed in public healthcare entities and the factors influencing this satisfaction. One such factor is the quality of talent management.

Purpose

The study aimed to assess the quality of talent management in Polish healthcare entities and its impact on the job satisfaction of medical personnel. The study also considered the impact of other demographic, organizational and behavioral factors on medical personnel satisfaction, such as social competencies, job mobility, orientation toward the patient, gender and education stage.

Methods

A questionnaire for healthcare professionals was used to collect data. A total of 747 respondents (506 defined as medical talent) participated in the survey. A 5-point Likert scale was adopted to assess job satisfaction and talent management practices. Reliability analysis was conducted to investigate the properties of this scale and the items that comprise it. The data was analyzed using descriptive statistics and structural equation modeling.

Results

The survey showed that the quality of talent management in Polish healthcare institutions is not well assessed. Professional satisfaction of medical personnel working in Polish public healthcare entities depends mainly on talent management measured by talent motivation, talent development, employee appraisal and organizational culture. Among the factors that have a positive but smaller impact on job satisfaction are job mobility and the education stage. The impact of gender, patient orientation and social competence had the smallest but most significant impact on job satisfaction.

Conclusion

Healthcare organizations should improve their talent management strategy to meet healthcare professionals' current and future demands and improve their job satisfaction.

Green HRM, green innovation and environmental performance: the role of green transformational leadership and green corporate social responsibility

The current study attempted to inspect the influence of green human resource management (GHRM) practices and green innovation (GI) on environmental performance. Besides, the study considered green corporate social responsibility (GCSR) as a mediator to elaborate on the influence of GHRM and green innovation on environmental performance. Additionally, the current study assessed the role of green transformational leadership (GTFL) by the focus on GHRM and GI on GCSR. Data were gathered from 310 employees who are working in public and private banks by using a survey questionnaire. Subsequently, the data were analysed by using the partial least square structural equation modelling technique. The study findings showed that GHRM and GI positively influenced GCSR. In addition, the results revealed an insignificant relationship between GHRM and environmental performance (EP), whereas the influence of GI on environmental performance was significant. Moreover, GCSR positively influenced environmental performance. The results supported the mediator task of GCSR between the influence of GHRM and GI on EP. Finally, the findings indicated GTFL as a significant moderator. The study was theoretically grounded on NRBV theory. The study adds to the GHRM, GTFL, GCSR, green innovation and environmental performance theory in novel ways. The study also added to the literature by providing evidence on how transformational leadership can serve as a booster to transform the influence of GHRM on GCSR.

Sustainable development goals: a bibliometric analysis of literature reviews

The research in sustainable development goals (SDG) increases year by year since its approval in 2015. Typically, after a phase of exponential growth, the number of publications increases at lower rates, suggesting a consolidation process in which literature reviews become a relevant and high-evidence type of document. In this context, the aim of this study was to perform an unprecedented bibliometric analysis of literature reviews on SDG to assess the evolution and consolidation of the scientific research. Article reviews on SDG from 2015 to 2022 were retrieved from Web of Science core collection and a descriptive bibliometric analysis was performed by growth rate, research area, source, citation, and region. Mapping and cluster analysis using keyword co-occurrence, co-authorship, and bibliographic coupling were also applied. The result revealed that SDG is a fast-growing field, with a trend in the diversification of research areas. Most of the review documents were categorized in general aspects of sustainability. Technology (SDG 9) and economic growth (SDG 8) were spotted as hidden key research areas. This result is contrary to previous bibliometric studies on SDG, demonstrating the rapid evolution and change in the field. In addition, literature reviews on reduced inequalities (SDG 10), gender equality (SDG 5); oceans, seas, and marine environments (SDG 14); and peace, justice, and strong institutions (SDG 16) were revealed as research gaps. Thus, the results demonstrated that the research on SDG cannot yet be considered a consolidated area of research, as it leaves many SDG unexplored. Future research has been proposed accordingly.

Design and interactive performance of human resource management system based on artificial intelligence

The purpose is to strengthen Human Resources Management (HRM) through information management using Artificial Intelligence (AI) technology. First, the selection criteria of the applicant’s resume during recruitment and the formulation standards of the contract salary are analyzed. Then, the resume information is extracted and converted into the data-type format. Besides, the salary forecast model in the HRM system (HRMS) is designed based on the Back Propagation Neural Network (BPNN), and network structure, parameter initialization, and activation function of the BPNN are selected and optimized. The experimental results demonstrate that the algorithm optimized by the Nadm has shown improved convergence speed and forecast effect, with 187 iterations. Moreover, compared with other regression algorithms, the designed algorithm achieves the best test scores. The above results can provide references for designing the AI-based HRMS.

Socially Responsible Human Resource Management: A Systematic Literature Review and Research Agenda

At the intersection of corporate social responsibility (CSR) and human resource management (HRM), a specific research strand has been forming and considerably flourishing over the past years, contributing to the burgeoning academic debate of what has been called “socially responsible human resource management” (SRHRM). The SRHRM debate seeks to proactively enhance employees’ work experiences and meet their personal and social expectations in ethical and socially responsible ways. Despite the increasing interest in research about SRHRM, however, the literature in this area is highly scattered, and a comprehensive study has yet to be undertaken. The present paper addresses this shortcoming by systematically reviewing 57 scholarly articles published in this research domain. It integrates previous insights on the topic to provide a far-reaching theoretical framework that highlights antecedents, practices, and outcomes of SRHRM research. As the results show, between 2011 and 2021, the Sustainability journal has published most of the empirical papers in this area, while the last three years (2019–2021) experienced a significant surge of publications on the topic. Our framework shapes a holistic overview of the SRHRM domain and illuminates different relevant elements upon which future studies in this area could be developed. This contribution is also beneficial for general CSR literature as it stresses the importance of its internal stakeholders, which have been comprehensively given less attention so far. By critically examining the recent literature on SRHRM, we further show how previous research is dominated by studies rooted in utilitarian approaches. Therefore, we set a research agenda for future studies by acknowledging the need for process-oriented studies and the importance of critical scholarship within the field of SRHRM.

Using PLS-SEM to Analyze the Effect of CSR on Corporate Performance: The Mediating Role of Human Resources Management and Customer Satisfaction. An Empirical Study in the Spanish Food and Beverage Manufacturing Sector

Although in recent decades corporate social responsibility (CSR) has been subjected to numerous studies in management and marketing literature about its impact on business results, the mechanism by which it affects performance has not been established. There is a lack of consensus when it comes to explaining how CSR actions are related to firm performance. Our research helps to understand this relationship through mediating effects such as CSR-oriented human resource management and customer satisfaction because employees and customers are critical stakeholders of companies and contribute directly to the determination of the corporate results. Through a study on a sample of small and medium-sized Spanish food and beverage manufacturing companies, and by using partial least squares structural equation modelling (PLS-SEM), we found that CSR does indeed impact business performance when CSR actions are mainly oriented towards more efficient management of human resources and customer satisfaction. In this way, the results lead us to conclude that depending on the stakeholder to which these actions are oriented, a specific orientation of the company’s CSR policy can be more efficient in corporate performance.

Emerging Trends and Thematic Evolution of Breast Cancer: Knowledge Mapping and Co-Word Analysis

BACKGROUND

One of the requirements for scientists and researchers to enter any field of science is to have a comprehensive and accurate understanding of that discipline.

OBJECTIVE

This study aims to draw a science map, provide structural analysis, explore the evolution, and determine new trends in research articles published in the field of breast cancer.

METHODS

This study comprised a descriptive survey with a scientometric approach. Data were collected from MEDLINE using a search strategy based on Medical Subject Heading (MeSH) terms. This study used science mapping, which provides a visual representation and a longitudinal evolution of possible interrelations between scientific areas, documents, or authors, thus reflecting the cognitive architecture of science mapping. For this scientometric evaluation of the topic of breast cancer research, a very long period was considered for data collection. Moreover, due to the availability of numerous publications in the database, the assessment was divided into three different periods ranging from 1988 to 2020.

RESULTS

A total of 12,577 records related to scientometric studies were extracted. The field of breast cancer research demonstrated three diagrams containing the most relevant themes for the three chronological periods evaluated. Each diagram was plotted based on the centrality and density linked to each research topic. The research output in the field was observed to revolve around 8 areas or themes: radiation injury, cardiovascular disease, fibroadenoma, antineoplastic agent, estrogen antagonistic, immunohistochemistry, soybean, and epitopes, each represented with different colors.

CONCLUSIONS

In the strategic diagrams, the themes were both well developed and important for the structuring of a research field. The first quadrant comprised motor themes of the specialty, which present strong centrality and high density (eg, corticosteroid antineoplastic age, stem cell, T-lymphocyte, protein tyrosine kinase, dietary, and phosphatidyl inositol-3-kinase). In the second quadrant of diagram, themes have well-developed internal ties but unimportant external ties, as they are of only marginal importance for the field. These themes are very specialized and peripheral (eg, DNA-binding). In the third quadrant, themes are both weakly developed and marginal. The themes in this quadrant have low density and centrality and mainly represent either emerging or declining themes (eg, ovarian neoplasm). Themes in the fourth quadrant of the strategic diagram are considered important for a research field but are not fully developed. This quadrant contains transversal and general, basic themes (eg, immunohistochemistry). Scientometric analysis of breast cancer research can be regarded as a roadmap for future research and policymaking for this important field.

Socially Responsible HRM, Employee Attitude, and Bank Reputation: The Rise of CSR in Bangladesh

Applying the organisational climate of corporate social responsibility (CSR) and human resource management (HRM) behavioural theories, this paper examines the associations among socially responsible HRM (SRHRM), organisational citizenship behaviour (OCB), turnover intention, and bank reputation. The proposed model, including seven hypotheses, was examined on a sample of 711 Bangladeshi bank employees. The results suggest that SRHRM has significant positive effects on both OCB and bank reputation, and a significant negative influence on turnover intention. OCB was positively significant for bank reputation but was estimated as insignificant for bank employees’ turnover intention. Moreover, perceived bank reputation was significant and negative on Bangladeshi employees’ turnover intention. Finally, a partial mediation effect was found for OCB on the direct relationship between SRHRM and bank reputation. This paper recommends that banks should aim at higher levels of OCB and reputation and lower turnover intentions should encourage SRHRM in their strategic approaches for HRM and CSR. The implications of the results of this study can help financial organisations to recognise the significance of SRHRM and its favourable effects on employee motivation and institutional reputation.

Sustainable Development Goals and Education: A Bibliometric Mapping Analysis

The 2030 Sustainable Development Agenda sets out 17 Sustainable Development Goals (SDGs) aimed at improving life in all its dimensions, covering all sectors, with a particular emphasis on education. The study presented here focuses on universities as priority organisations and agents of change within the sphere of their social commitment. We thus conducted an analysis of the related scientific production as well as a bibliometric mapping, identifying the main publications indexed in the Web of Science, within its main collection. Focusing on scientific production, we examine the types of documents published, the evolution of the number of publications, the countries of origin of the publications, the most cited sources and articles, together with the most productive authors and a co-citation analysis. Regarding the bibliometric mapping analysis, the five core clusters included in the study were: SDGs in general; SDG 4 on Quality Education; Education for Sustainable Development; Higher Education; and Education Management. Among the main conclusions reached, we would emphasise the need for a change in role and function of university education to tackle sustainable development.