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Sustainable human resource management (SuHRM), which aims to achieve positive environmental, social and economic outcomes at the same time, has gained prominence across industries. However, the challenges of implementing SuHRM across industries are largely under-studied. The purpose of this study is to identify the grey areas in the field of SuHRM by using an unsupervised learning algorithm on the abstracts of 607 papers published in prominent journals from 1995 to 2023. Most of the articles have been published post-2018.

The analysis of the data (abstracts of the selected articles) has been done using topic modelling via latent Dirichlet algorithm (LDA).

The output from topic modelling-LDA reveals nine primary focus areas of SuHRM research – the link between SuHRM and employee well-being; job satisfaction; challenges of implementing SuHRM; exploring new horizons in SuHRM; reaping the benefits of using SuHRM as a strategic tool; green HRM practices; link between SuHRM and organisational performance; link between corporate social responsible and HRM.

The insights gained from this study along with the discussions on each topic will be extremely beneficial for researchers, academicians, journal editors and practitioners to channelise their research focus. No other study has used a smart algorithm to identify the research clusters of SuHRM.

By utilizing topic modeling techniques, the study offers a novel approach to analyzing and understanding trends and patterns in HRM research related to sustainability. The significance of the paper would be in its potential to shed light on emerging areas of interest and provide valuable implications for future research and practice in Sustainable HRM.

Drawing upon the natural resource-based view (NRBV), green absorptive capacity (GAC) is the backbone of firm green dynamic capabilities. It converts the developed knowledge into knowledge application. Understanding how GAC could benefit corporation environmental performance (EP) is still ambiguous and debated. Hence, this study introduced three facilitator factors, namely, managerial environmental concern (MEC), green innovation performance (GIP) and green entrepreneurship orientation (GEO), in which GAC can improve EP. The study tested the moderation effect of GAC and GEO on the MEC-GEO and the MEC-EP relationships and predicted the mediation effect of MEC, GEO and GIP on the GAC-EP relationship.

The quantitative study used a self-administered survey and cross-sectional research design; the study collected data from top management employees working in Chinese manufacturing firms.

The results indicated that GAC positively influences MEC, GEO and GIP, and these last three constructs influence EP. While MEC positively affects GIP, the MEC-GEO relationship was insignificant. The study found that GAC moderates the MEC-GEO relationship, whereas GEO failed to do so between MEC and EP. The results confirm a partial mediation effect between GAC-EP through the three intermediary constructs.

To promote EP, firms GAC should prioritize developing MEC ad GIP. Firms' GEO can exploit eco-friendly opportunities enabled by GAC, a process that bridges the existing knowledge and skills gap between MEC and GEO. GAC is one of the leading green strategic capabilities that help GEO to achieve green business growth and better EP. MEC is the process of facilitating GIP to deliver eco-products and protect the external environment. When MEC failed to address GEO's green business agenda, GEO could not enhance EP.

The study highlights the necessity of GAC to develop firms' green dynamic capabilities to boost EP. The study confirms GAC's vital role in strengthening the manager's environmental awareness and bridging the knowledge gap between GEO and MEC. In addition, GIP can drive entrepreneurial green opportunities and enhance EP when GAC is involved and converts knowledge creation to knowledge applications. Strategically speaking, given the importance of the triple green pillars of the NRBV, GEO would not balance green business growth and EP unless GAC leveled up MEC to match GEO's green business agenda and drive EP.

While implementing green innovation-driven strategies when facing growing grim environmental problems and the realistic demands of achieving high-quality development is increasingly urgent, changing abruptly is inevitably detrimental to the smooth functioning of social and economic development. Restrained by resources, innovation-driven strategy is a huge strategy for an organization to shift from traditional technological innovation to green innovation. Supports and implementation in green technology investment would necessarily crowd out other business investment and lead to reduction of innovation outputs and mount of financial uncertainty. Under the guidance of harmonious balance, the equilibrium allocation between green research and non-green counterpart is badly needed to be addressed for decision-makers inside and outside the organizations. The differentiated inputs of them would lead to different effects on organizational performance in practice.

The authors first conducted a Hausman test on green research intensity (GRI) and innovation performance, economic performance, social performance, and environmental performance, respectively. Adopting the fixed effects model for estimation seems accurate, if there is no significant heteroscedasticity shown in the BP test. The authors then adopted the least square dummy variable method to handle individual heterogeneity (Xia et al., 2020). After controlling the industry effect and time effect simultaneously, the results were consistent with that of fixed effects model, thereby eliminating the impact of heteroscedasticity.

The authors construct a multi-dimensional performance system—innovation performance, economic performance, social performance, and environmental performance—to probe into the influence of GRI from the resource-based view and allocation theory. Different performance does not benefit equally from increasing the intensity of green research. Performance increase may squeeze out the quantity of total innovation but can compensate quality for knowledge spillovers of green technology. The organization's growth and long-term value may be beneficial from the increase, but not the short-term financial performance. While the relationship between GRI and social performance has the characteristic of reverse U-curve, there has to be some scale of green research to gain considerable and nonlinear environmental performance. Low level of green research may increase pollution until green research has cross over the inflection point. These relationships are intensely moderated by the environmental regulation.

Because of the focus of this study is on the organizational performance of green research, the analysis comes with some limitations that should be addressed in future research. Data were inter-professional, with large enterprises and small businesses innovating green technology at the same time. Though the hypotheses presented here were grounded in existing theoretical rationale, the generality of this study cannot be assumed. Multi-performance of green activities in small- and medium-sized businesses should be further explored. Additionally, concrete index of the corresponding evaluation system constructed here contribute more to practical activities of green innovation. Refinement of synergy performance index is the task for future work. Further, grounded in Chinese context, the authors' results could be compared with other scenario with institutional heterogeneity to provide detailed evidences for institutional theory. Future studies could also move forward to longitudinal case study to delicately investigate the performance differentiation of green research when in different development stage.

First, what and how the authors do is novel as the authors use listed Chinese manufacturing companies to probe into the complex relationship between GRI and multiple performance rather than discussing the performance of green innovation input from a single perspective merely. Second, the authors systematically define the performance as economic performance, environmental performance, social performance and innovation performance in depth, which consider adequately the tangible and intangible value as well as internal and external benefits of green research. And finally, in the context of environmental regulation, the study discusses the differentiation of the increase of green research intensity from the perspective of resource constraints, providing reference for optimizing the resource allocation in green and non-green research and solving the decoupling between earnest social appeal and sluggish or reluctant green behaviors.

Practitioners and academics are starting to recognize the benefits of green IT/IS practices. Despite these benefits, this study aims to know more regarding the factors that would drive organizations to use green IT/IS practices within their IT function and across the enterprise. To further understanding in this area, this study applies a strategic cognition framework of firm responsiveness and institutional theory to determine the extent to which an organization uses green IT/IS practices in response to stakeholder concerns. This study investigates the extent to which two organizational logics – expressive and instrumental – and three institutional pressures – coercive, mimetic and normative – jointly affect an organization's use of both green IT practices and green IS practices.

This study tested the hypotheses with survey data collected from 306 organizations. Structural equation modeling was used for data analysis.

Findings support four joint effects: (1) individualistic identity orientation and coercive pressure positively affect green IT practices; (2) collectivistic identity orientation and normative pressure positively influence green IS practices; (3) cost reduction orientation and mimetic pressure positively affect green IT practices; and (4) revenue expansion orientation and normative pressure positively influence green IS practices.

This study contributes to the literature by providing evidence for joint drivers of green IT and green IS practices. Green IT and IS practices represent organizations' different levels of commitment to environmental sustainability and responsiveness to stakeholders (i.e. green IT/IS practices). Organizations of different expressive and instrumental orientations are attuned to institutional pressures to various degrees, which leads to different green IT/IS practices.

This study is the first to examine how big data analytics (BDA) capabilities affect green absorptive capacity (GAC) and green entrepreneurship orientation (GEO). It uses the dynamic capability view, BDA and knowledge-sharing literature. There is a lack of studies addressing the BDA–GAC and BDA–GEO relationships and their potential impact on green innovation. Continuing the ongoing research discussion, a few studies examined the vital implications of knowledge sharing (KS) on GAC, GEO and green innovation.

The study used a cross-sectional and stratified random sampling technique to collect data through self-administered surveys among Chinese manufacturing firm employees. The study applied SmartPLS to analyze the obtained data.

The findings revealed that BDA capabilities positively influence GAC and GEO. In addition, GEO and KS positively impact green innovation. The KS recorded a positive impact on GAC and GEO. Furthermore, GAC and GEO recorded a partial mediating effect.

The study acknowledges that GAC is the backbone of a firm green entrepreneurial orientation, which needs to be aligned with BDA capabilities to anticipate future green business trends. GAC's help drives GEO's green business agenda. KS plays a strategic role in developing GAC, fostering GEO and improving green innovation.

The study highlights the necessity of aligning BDA capabilities to fit firms' GEO green business agendas. This study focuses on the role of BDA capabilities in developing firms' green dynamics capabilities (e.g. GAC), which helps GEO drive superior green business growth. KS develops GAC and boosts GEO to enhance green innovation.

This chapter is devoted to sustainable human resource management that leads to sustainable competitiveness. It features the ways human resources can be managed to carry out sustainable goals and the impact of sustainability on employees' attitudes and behaviours. The aim of this study is to explore the complex objectives of sustainability and human resource management and empirically investigate the dynamic relationship between human resources in science and technology and sustainable competitiveness in the case of 35 European countries. Our contribution emphasizes this interrelationship and its causality. For this research, we applied a vector auto-regression (VAR) model, and the Granger causality method to examine the relationship between human resources in science and technology and sustainable competitiveness. A panel data included 314 observations between 2012 and 2021. The panel VAR for analysing the impulse response function was enriched with the 5% and 95%, using Monte Carlo simulations. The research results revealed bidirectional causality in the European countries between human resources in science and technology and sustainable competitiveness. Human resources in science and technology trigger sustainable competitiveness and vice versa. As an element of originality, our study demonstrates that human resources in science and technology contribute to sustainable performance, and, on the other hand, a more competitive and sustainable environment contributes to the development of human resources in science and technology. Thus, the chapter outlines the role of human resources in science and technology with regard to sustainable human resource management (HRM), and how to navigate these objectives so that they can positively influence sustainable competitiveness.

This article aims to clarify the impact of stock market liberalization on corporate green technology innovation, analyze its mechanism from the perspectives of financing constraints and environmental management level and explore heterogeneity.

Using the panel data of Chinese enterprises from 2010 to 2020, this article adopts the multi-point difference-in-difference (DID) method to test the impact of stock market liberalization on enterprise green technology innovation and its conduction pathway.

The outcomes demonstrate that stock market liberalization contributes to the furthering of green technology innovation. The heterogeneity test reveals that this promotion is more pronounced for private companies, small-scale companies and companies with high information transparency. The mediating effect test shows that stock market liberalization boosts green technology innovation by alleviating corporate financing constraints and improving corporate environmental management.

This article elucidates the impact path of stock market liberalization on corporate green innovation based on alleviating corporate financing constraints and improving corporate environmental management levels. From the perspective of corporate green technology innovation, this article provides evidence from emerging market countries for the economic effects of capital market opening, which helps to further improve the level of green innovation.

Environmental degradation in emerging economies has induced stakeholder pressures on diverse firms to ensure sustainable business performance. Consequently, firms are adopting environmentally ethical cultures and reinforcing green creativity to satisfy stakeholders' environmental needs while attaining green competitive advantage, sustainable production and higher financial performance. The purpose of this study is to investigate whether corporate environmental ethics and green creativity serve as antecedents to higher competitiveness, sustainable production and financial performance, and also examine if green competitive advantage and sustainable production mediate the relationships between corporate environmental ethics, green creativity and financial performance in the context of an emerging economy.

This study using a survey approach examined data from 290 manufacturing small and medium-sized enterprises. Data were analyzed and interpreted using SmartPLS 3.0 software, a variance-based structural equation modelling technique. This modelling technique was adopted due to its suitability for predictive research models.

The findings show that corporate environmental ethics and green creativity are critical antecedents to green competitive advantage, sustainable production and financial performance. The results connote that while corporate environmental ethics and green creativity directly and robustly influence green competitive advantage, sustainable production and financial performance, their effect on financial performance is strengthened via the indirect effects of green competitive advantage and sustainable production. Contrasting past findings, corporate environmental ethics negatively related to financial performance in this study context. The findings indicate that the integration of environmental ethics and green creativity can be a unique strategy for mitigating environmental negative risks while improving green competitive advantage, sustainable production and financial performance.

The study is among the few that draws insights from organizational ethics and the natural resource-based view (NRBV) to examine the interactions between corporate environmental ethics, green creativity, green competitive advantage, sustainable production and financial performance. Drawing insights from the findings, the study provides suggestions for managers, academicians, policymakers and governments as well as highlights implications and directions for future research.

This study reveals the green building development path and analyzes the optimal government subsidy equilibrium through evolutionary game theory and numerical simulation. This was done to explore the feasible measures and optimal incentives to achieve higher levels of green building in China.

First, the practice of green building in China was analyzed, and the specific influencing factors and incentive measures for green building development were extracted. Second, China-specific evolutionary game models were constructed between developers and homebuyers under the market regulation and government incentive mechanism scenarios, and the evolutionary paths were analyzed. Finally, real-case numerical simulations were conducted, subsidy impacts were mainly analyzed and optimal subsidy equilibriums were solved.

(1) Simultaneously subsidizing developers and homebuyers proved to be the most effective measure to promote the sustainability of green buildings. (2) The sensitivity of developers and homebuyers to subsidies varied across scenarios, and the optimal subsidy level diminished marginally as building greenness and public awareness increased. (3) The optimal subsidy level for developers was intricately tied to the building greenness benchmark. A higher benchmark intensified the developer’s responsiveness to losses, at which point increasing subsidies were justified. Conversely, a reduction in subsidy might have been appropriate when the benchmark was set at a lower level.

The expeditious advancement of green buildings holds paramount importance for the high-quality development of the construction industry. Nevertheless, the pace of green building expansion in China has experienced a recent deceleration. Drawing insights from the practices of green building in China, the exploration of viable strategies and the determination of optimal government subsidies stand as imperative initiatives. These endeavors aim to propel the acceleration of green building proliferation and materialize high-quality development at the earliest juncture possible.

The model is grounded in China’s green building practices, which makes the conclusions drawn more specific. Furthermore, research results provide practical references for governments to formulate green building incentive policies.

This study examined the role of green human resource management (GHRM) in the environmental performance of higher education institutes (HEIs). The study also examined the mediating effect of green commitment and green behaviour. Furthermore, the study explored if green self-efficacy (GSE) moderated the relationship between green commitment and green behaviour. The ability, motivation, and opportunity (AMO) theory were employed to explain the relationship between the study's variables.

The study opted for a descriptive study using the convenience sampling technique by collecting data through a survey questionnaire administered to 208 individuals currently employed in Pakistani HEIs. Data collection was undertaken among senior, middle, and top management of the HEIs. The statistical software, partial least square structural equation modelling (PLS-SEM), was used for data analysis.

The results provide empirical insights indicating the positive relation of GHRM practices with environmental performance in HEIs. Changes in employees' behaviour through human resource management practices can ultimately affect the organisations' environmental performance. Besides, the results also demonstrated that GSE moderates the relationship between green commitment and green behaviour. The findings highlight the role of commitment level and GSE in enhancing the environmental performance of HEIs.

The study proposes that HEIs' management take adequate initiatives to implement GHRM practices.

The current study contributes to the literature by empirically examining the indirect double mediation effect of green commitment and green behaviour on GHRM and environmental performance. Furthermore, the moderating effect of GSE, which is an under-explored area, was also studied.