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This paper aims to investigate the relationship between green human resource management (GHRM) practices and employee innovative work behaviour in the hospital. Although previous studies have examined the association between GHRM and various organisational outcomes, its nexus with employee innovative work behaviour has been largely unexplored.

This study used a quantitative approach and tested hypotheses. The research design adopted both an explanatory and descriptive approach since there were limited past data or studies to reference. The study population was human resource and administrative managers at Korle Bu Teaching Hospital who have implemented GHRM practices. The sample size consisted of 264 respondents, selected using simple random sampling. Data were collected through structured questionnaires.

The collected data were analyzed using descriptive statistics, correlation and regression analysis. The results revealed that green training, green hiring and green compensation were significant predictors of innovative work behaviour among employees.

This study contributes to the understanding of the impact of GHRM practices on employee innovative work behaviour in the healthcare sector. The study recommends that organisations should view their training investments as financial investments and focus on hiring individuals with strong environmental sensibilities. Additionally, effective reward criteria should be developed to promote GHRM practices.

Drawing on the social exchange theory (SET) and the self-determination theory (SDT), the present study aims to examine the impact of green human resource management (GHRM) on three types of employee green behavior (EGB) – green in-role, innovative and extra-role – in the presence of environmental managerial support (EMS) as a conditional factor.

The research model was verified based on data from 419 respondents employed in companies operating in the energy sector in Poland (Europe’s “coal heartland”). PLS-SEM was used in the statistical analyses.

This study shows that GHRM positively impacts three types of EGB. EMS positively moderates the relationships of GHRM with both green extra-role behaviors and innovative work behaviors; however, EMS does not play a moderating role in the relationship between GHRM and green in-role behaviors.

This study, being one of a kind, enriches the literature by exploring the conditional role of EMS on the integrated relationship of GHRM practices with in-role, extra-role and innovative behaviors and offers evidence from the rarely examined energy sector, which plays a vital role in the transformation of nations toward sustainable development.

The article explores the linkages between the type of environmental strategy (ES), the use of internal communication (IC), and the greening of organizational culture (OC). Moreover, the article empirically examines whether company size matters in the use of environmental IC practices in the green context. Additionally, the article considers differences between people employed at different organizational hierarchy levels. The basis for such a comparison is their opinions about the effectiveness of communication practices.

Empirical research employed a survey method done on 199 organizations in 2020. Statistical analyses used the chi-squared test, Kendall’s Tau-b correlation coefficient, and the Mann–Whitney U test.

The research showed that companies with a proactive green strategy more often use different communication practices related to ES and have a greener culture. The study proved that larger companies more often use the analyzed communication practices. However, we found no significant difference in opinion between middle managers and line employees about the effectiveness of these practices.

The main contribution to business practice is the exploratory model based on the empirical study, which allows organizations to successfully implement the ES.

Studies rarely combine the three organizational elements: IC, OC, and ES. This article provides new empirical evidence on relationships between features of OC, green strategy types, and communication practices.

The study aimed to provide insights on antecedent and outcome of green HRM at the organisational level and the outcome of green HRM at the individual level. It also sought to examine the mechanism through which green HRM would lead to employees’ positive outcome.

A quantitative study design using a two-study approach was employed to collect and analyse the data. For study 1, 206 hotels from Malaysia were included in analysis at the organisational level, while in study 2 at the individual level, 508 employees from different sectors provided insights through an online questionnaire. For both studies, partial least squares (PLS–SEM) was used to assess the research model.

All the proposed hypotheses were supported. Specifically, at the organisational level, organisational environmental culture is positively related to green HRM, and green HRM management positively associates with organisation's environmental performance. At the individual level, green HRM positively influences employees' job satisfaction, and meaningfulness through work is a strong mediator in this relationship.

This study is significant as it contributes to both theory and practice by providing fresh insights on green HRM and its antecedent and outcomes at two levels (organisational and individual) and across two economies (emerging and developed). It also sheds some light on the outcome of green HRM at the employee level which is an area that is still under-researched. By focusing on meaningfulness through work as an important factor, the study contributes to better understanding of green HRM and employees’ positive outcomes.

This paper aims to examine the influence of big data (BD) on human resource management (HRM). It defines how these data can be a useful tool in the decision-making process of companies’ human resources to obtain a sustainable competitive advantage.

This paper emphasizes the need to develop a holistic approach to emphasize these relations. Starting from these observations, the document proposes empirical research employing Eurostat data to test the benefits of BD in HRM decisions that optimize the relationship between training, productivity, and well-being.

The findings estimate HRM decisions and their impact in a broader macroeconomic and microeconomic perspective.

BD research is emerging as a crucial discipline in human resources. To overcome this problem, the paper develops an analysis of the literature on cleaner production and sustainability context; it creates a conceptual framework to clarify whether the existing studies consider the growing intensity of BD on human resources.

Building on the social exchange theory (SET), this study aims to propose a model of the effects of green human resource management on employee in-role, extra-role and green innovative work behavior (GIWB). This study proposes, building on both the job demands-resources model and SET, that the aforementioned links can be explained through the mediating role of green work engagement (GWE).

Data were collected from employees (n. 208) working in Palestinian higher education organizations using a self-administered questionnaire. The partial least squares-structural equation modeling was the primary statistical technique adopted to examine the study’s hypotheses.

The results suggest that green human resources management (GHRM) was a significant predictor of employee in-role green behavior, extra-role green behavior and GIWB. Furthermore, GWE demonstrated to be a significant intervening mechanism to explain the above-mentioned relationships.

The results provide useful insights for higher education policymakers on how GHRM may positively contribute to employee green outcomes.

This paper is novel for several reasons. First, it contributes to the general literature of GHRM. Second, it contributes to the limited body of knowledge on GHRM in the context of higher education. Third, the distinct contribution of this study is the introduction of GIWB as an outcome of GHRM, and GWE as a mediating variable in the relationship between GHRM and employee green behaviors.

This paper analyzes the effect of circular economy practices on firm performance for a circular supply chain and explores the moderating role that big-data-driven supply chain plays within these relationships.

This study uses data collected through an online survey distributed to managers of 378 Italian firms that have adopted circular economy principles. The data are processed using multiple regression analysis.

The results indicate that the three categories of circular economy practices investigated – namely circular economy supply chain management design, circular economy supply chain relationship management and circular economy HR management – play a crucial role in enhancing firm performance from a circular economy perspective. A big-data-driven supply chain acts as a moderator of the relationship between circular economy HR management and firm performance for a circular economy supply chain.

This study makes a number of original contributions to research on circular economy practices in a big-data-driven supply chain and provides useful insights for practitioners. First, it answers the call to capture digital transformation trends and to extend research on sustainability in supply chain management. Second, it enhances the literature by investigating the relationships between three different kinds of circular economy supply chain practices and firm performance. Finally, it clarifies the moderating role of big data in making decisions and implementing circular supply chain solutions to achieve better environmental, social and economic benefits.

Based on the survey data of 650 kiwi growers from Shaanxi and Sichuan provinces, this paper used multiple endogenous transformation regression models to explore the effect of the joint adoption of green production technology on farmer’s welfare. The purpose of the study is to analyze the influence of green production technology on the yield, household income and socioeconomic characteristics of Kiwi fruit growers.

In the context of the study, multiple endogenous transformation model (MESR) are adopted, but self-actualization tactics were adopted to deal with the instrumental variables. The empirical data has been collected via a combined hierarchical sampling and random sampling, whereas a well-structured Likert scale questionnaire was adopted as well. The empirical data has been processed with the help of STATA 15.1 version.

The study found a positive impact of adopting green production technology. Moreover, the joint adoption of green production technology by kiwi growers has significantly increased the yield, economic values of Kiwi and household income of kiwi farmers. The households with higher asset value, better land quality, weaker credit constraints, more technical training and stronger government promotion and support from local governments are the most likely to adopt pest control technology and soil management technology jointly.

The prime innovation of the paper is to measure the impact of technology combination adoption on farmer’s welfare is evaluated, rather than the impact of single sub technology on farmer’s’ welfare.

Congruent with the world-wide call to combat global warming concerns within the context of advancements in smart technology, artificial intelligence, robotics, algorithms (STARA), and digitalisation, organisational leaders are being pressured to ensure that talented employees are effectively managed (nurtured and retained) to curb the potential risk of staff turnover. By managing such talent(s), organisations may be able to not only retain them, but consequently foster environmental sustainability too. Equally, recent debates encourage the need for teams to work digitally and interdependently on set tasks, and for leaders to cultivate competencies fundamental to STARA, as this may further help reduce staff turnover intention and catalyse green initiatives. However, it is unclear how such turnover intention may be impacted by these actions. This paper therefore, seeks to investigate the predictive roles of green hard and soft talent management (TM), leader STARA competence (LSC) and digital task interdependence (DTI) on turnover intention.

The authors used a cross-sectional data collection technique to obtain 372 useable samples from 49 manufacturing organisations in Nigeria.

Findings indicate that green hard and soft TM and LSC positively predict turnover intention. While LSC amplifies the negative influence of green soft TM on turnover intention, LSC and DTI dampen the positive influence of green hard TM on turnover intention.

Our study offers novel insights into how emerging concepts like LSC, DTI, and green hard and soft TM simultaneously act to predict turnover intention.