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This study conceptualises the construct – green competencies. The concept is in the niche stage and needs further elaboration. Hence, to address the research gap, this study follows the steps proposed by Tranfield et al. (2003). The major part of the study comprises descriptive analysis and thematic analysis. Descriptive analysis of the selected 66 articles was examined with the classification framework, which contains year-wise distribution, journal-wise distribution, the focus of the concept, the economic sector, and dimensions of sustainable development. The paper conducts a thematic analysis of the following research questions. What are the green competencies and their conceptual definition? What are their dimensions?

This paper applies a systematic literature review of green competencies literature, extends the state-of-the-art using the natural resource-based view, and discusses future research directions for academicians and practitioners.

In recent years, there was considerable interest in green competencies (GC), as reflected in the surge of articles published in this genre. This paper asserts that green competencies are a multidimensional construct comprised of green knowledge, green skills, green abilities, green attitudes, green behaviours, and green awareness.

Despite the significance of green competencies, there has been a dearth of study to define the constructs and identify the dimensions. Hence, this study addresses the literature gap by conceptualisation and discusses dimensions of the construct.

This paper aims to highlight the importance of implementing green training as a part of green management practices in organizational operations by building the arguments through the lens of Ability–Motivation–Opportunity (AMO) theory. In this regard, the mediating impact of green competencies on the association between green training and organizational efficiency is determined.

The research followed a quantitative and cross-sectional approach. The study involved ISO-14001 certified textile manufacturing organizations to better serve the research purpose. The responses were collected from 235 managerial-level employees through purposive sampling. The data analysis was performed by using structural equation modelling to examine the interrelated dependence of the variables.

The findings of the study reveal that green training is essential for environmentally responsible organizations to attain their goals of efficient resource consumption in addition to serving the greater cause of environmental protection. There is a dire need to impart environmental-friendly competencies to the employees who resultantly become able to adopt eco-efficient ways of doing business.

This study also has limitations regarding the generalizability of its results. It is primarily because of the limited sample size and restricted geographical domain. Additionally, AMO theory has not been empirically tested in this study.

Progressive textile manufacturers need to incorporate a consistent policy for green management practices to meet the expectation of their international clients and to remain competitive in international markets. It is equally important for the governmental authorities to design such environmental policies which necessitate the need of incorporating pro-environment business practices and measuring their outcomes.

This study will contribute to enrich the literature by offering an empirical analysis of green training for achieving the organizational efficiency in textile manufacturing sector. It will be a novel context to contribute to the literature of green management practices and its related fields. Moreover, the study is one of its kind that uses the AMO theory to identify the mediating role of green competencies for understanding the association between green training and organizational efficiency.

This research is oriented to the need for new ideas related to the concept of a green campus that respond to climate change. The concept is simulated with a campus area in Indonesia, a country that requires a lot of school planning for human resource development that requires clean, renewable energy and zero emissions in a humid tropical climate.

The research was carried out in a mixed qualitative-quantitative method using field observations and literature studies through an approach to developing a pedagogical pattern of cognitive, affective and psychomotor, relevant theoretical studies and comprehensive analysis of all variables and aspects. Analysis through the parameter matrix of green buildings and green campuses to produce a zero emission and energy efficient campus area concept.

The concept of an integrated campus area model that can holistically save energy optimally and free from emissions and can produce graduates who are aware and have high cognitive, affective and psychomotor competencies toward environmental conservation efforts. Green campus design is not only physical design, but needs to be integrated with green curriculum content.

The limitation of this research is in the scope of architectural and environmental sciences.

The practical implication of this research is a new green campus concept that is environmentally friendly and sustainable in a hot-humid tropical climate.

This research revives the cognitive, affective and psychomotor competencies of human individuals at the highest level to equip the ability to repair and maintain the environment. The research resulted in a refinement of the green campus concept that was integrated into the curriculum.

A holistic and integrated green campus concept between the development of campus area design and human development aspects.

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.

Although the role of green recruitment and selection (GRS) has been widely recognised as an important dimension of green human resource management, no study has ever mapped the terrain of GRS and reviewed the literature. The purpose of this paper is to fill this gap while exploring the following questions: How do organisations select candidates in line with their pro-environmental stance? What impact do a company’s corporate environmental sustainability (CES) practices have on attracting pro-environmental job seekers?

This paper provides a systematic review of 22 peer-reviewed articles published during the period 2008–2017. The articles were included in the review if they addressed at least one of the two research questions.

Some companies choose to apply green criteria when selecting candidates while others do not. In any case, communicating a company’s environmental values and orientation is worth practicing during GRS. Previous studies have identified four mediators (anticipated pride, perceived value fit, expectation of favourable treatment, perceived organisational green reputation/prestige) that intervene between signals of a company’s CES and a job seeker’s perceptions of organisational attractiveness. However, the strength of this effect is influenced by five moderators (pro-environmental attitude, socio-environmental consciousness, desire to have a significant impact through one’s work, environmental-related standard registration, job seeker’s expertise).

This paper provides the first systematic review of GRS and thus paves the way for future research.

The organization of services can affect the adoption of sustainable practices within the relationship between a buyer (e.g. a shipper) and a supplier (e.g. a logistics service provider–LSP). The purpose of this paper is to analyse, within this relationship, the mechanisms affecting collaboration between shippers and LSPs towards adopting green logistics practices to reduce the negative environmental effects of logistics processes. The authors take the perspective of small and medium enterprises (SMEs), which represent – although less investigated than large enterprises – a relevant field of investigation given their impact on the environmental sustainability of logistics processes.

The authors conducted a multiple case-study investigation on a set of dyads involving shippers and LSPs. The authors explored the antecedents shaping the approach to sustainability in logistics and, adopting the absorptive capacity (AC) theory, the learning and knowledge transfer processes leading to the adoption of green practices.

Collaboration between shippers and LSPs for better sustainability in logistics seems not to work when relationships are limited to simple annual (or pluriannual) contracts, and when shippers do not show ambition to improve the level of sustainability of their logistics processes (regardless of whether they show an interest in general sustainability matters). On the other hand, successful cases show higher commitment in the dyadic relationship with respect to improving logistics sustainability, good levels of communication and a more structured process of knowledge sharing, enabled by IT integration, shared performance monitoring, and creation of inter-organizational teams.

While most of the existing research focuses on the perspective of shippers or LSPs, this work is original since it explores collaborative mechanisms within a buyer-supplier relationship simultaneously taking the perspective of both parties, according to the lens of the AC. It identifies directions for improving collaboration within the shipper-LSP relationship in the context of SMEs to foster the adoption of collaborative green logistics practices to impact sustainability positively.

Entrepreneurship is one of the pillars of economic development and helps to green the economy. This study investigates the factors that affect green entrepreneurship (GE) in small- and medium-sized enterprises (SMEs) in Saudi Arabia.

Using quantitative modes, this study's findings are based on 334 valid cases from Saudi Arabian SME employees.

Using path analysis, this study’s findings reveal that green entrepreneurial skills (GES), green opportunities (GOs), entrepreneurial motivation (EM), green incentives (GIs), availability of capital (AoC) and green entrepreneurial self-efficacy (GESE) have positive and significant effects on GE. Moreover, GESE mediates GE's relationships with GES, GOs, EM, GIs and AoC.

This study's findings support the development of green business practices in terms of green business planning, training and skills. The research provides opportunities for green businesses. Policymakers and SME authorities would benefit from this study's findings in producing green goods and services.

This study empirically confirms the role of various factors such as GESE and GE among Saudi Arabian SMEs.

States that over the last few years, the growing importance of the ecological question has led many executives to modify their business policies. The integration of “green” issues in the process of strategy formation has significant financial, managerial and organizational implications for the corporate system, thus requiring firms to re‐design their value chain activities and processes. This paper aims at: analysing current patterns of environmental behaviour adopted by firms; discussing whether and how the ecological challenge must be seen as a major source of change, thus identifying specific implications on the corporate system of environmental entrepreneurship; presenting the basic triggers which may foster the introduction of innovative environmental programmes.

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.

The purpose of this paper is to describe green technological trajectories in eco‐industrial parks and reveal the effect of the selected environment on the trajectories in China, by means of case studies of the Lubei Group and the Guitang Group.

The paper opted for content analysis from various sources, including annual reports of listed companies, newspapers, web sites and academic articles. It adopts contrast analysis, in order to show the different technological evolution trend and the diversified dynamics of the selected environment.

The study provides the empirical insights about how green technology evolves and affects the evolution of the eco‐industrial park. The green technology development of the Lubei Group forms self‐reinforcing mechanism through learning process, economies of scale in production and network externalities, while that of the Guitang Group is under way. Additionally, the paper discusses how the selected environment affects the green technology, referring to the six factors constituting the selected environment: environmental regulation, financial support, knowledge accumulation, market environment, organizational culture and resource endowment.

The paper analyzes the evolution process, drivers and operational risks of eco‐industrial parks in the perspective of green technological trajectories. Some practical suggestions, such as eco‐industrial parks should put the focus on environmental intellectual property protection, green core competencies construction and green technology transfer strategies are proposed. What is more, the Lubei Group is a large, state‐owned enterprise and the Guitang Group used to be. The contrast analysis tends to disclose the context‐embedded knowledge of eco‐industrial parks development in an emerging market.