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The purpose of this paper is to develop a comprehensive overview of green innovation (GI) in China, which is carried out by reviewing the evolution of GI from 2000 to 2019, and the main type of technology, actors and localizations. When appropriate, GI is compared to non-GI.

The study uses patent data from the European Patent Office database (PATSTAT); these data are processed to map trends and identify the main contributors to GI and the location of such innovation. The findings are then discussed and complemented with academic literature.

Key findings reveal an increasing divergence between GI and nongreen innovation after the 2008 crisis. It is also observed that solar energy appears to be the main component of GI in China, with a shift from photovoltaic thermal energy to solar photovoltaic energy after 2008. Other areas, such as waste management, greenhouse gases capture and climate change adaptation, are less innovative. Companies play an essential role in the development of all types of innovation. In terms of location, green patents are mainly filed in China’s three main megacities. The study also highlights the significant role of the Chinese state, which led policies shaping the trajectories and forms of GI.

This study expands knowledge on GI in China, highlighting its main specificities and the role of key actors. It provides to the reader a comprehensive picture of China’s green policies and innovation realities. The results can therefore be used to improve the understanding of GI evolution in China and facilitate the formulation of new research questions.

This study investigates the crucial link between sustainable practices and organizational development, focusing on sustainable knowledge management (SKM), green innovation (GI) and corporate sustainable development (CSD) in diverse Pakistani organizations.

This study employs a comprehensive research methodology involving advanced statistical techniques, such as confirmatory factor analysis, structural equation modeling and hierarchical linear modeling. These methods are instrumental in exploring the complex interrelationships between SKM, GI, moderating factors and CSD.

This research generates significant findings and actively contributes to sustainable development. The following sections (Sections 4 and 5) delve into the specific findings and in-depth discussions, shedding light on how industry regulation, organizational sustainability priorities, workplace culture collaboration and alignment between green culture and knowledge management practices influence the relationships between SKM, GI and CSD. These findings provide valuable insights for the research community and organizations striving for sustainability.

The study’s findings have practical implications for organizations seeking to enhance their sustainability efforts and embrace a socially and environmentally conscious approach to organizational growth.

This study contributes to the literature on sustainable practices and organizational development. Researchers and business people can learn a lot from it because it uses advanced econometric models in new ways and focuses on the link between knowledge management, GI and sustainable corporate development.

Despite the importance of green supply chain integration (GSCI) in advancing green innovation (GI) is recognized, it remains unclear how firms can translate their GSCI efforts into GI. Therefore, this study aims to understand how GSCI affects GI, with its dimensions (exploitative GI and exploratory GI), as well as to investigate the mediating role of green knowledge integration capability (GKIC) and the moderating role of blockchain technology (BCT) adoption.

On the basis of data collected from 247 managers working in Indian firms in the automotive industry, the authors tested the proposed model using the PROCESS macro tool via SPSS software.

The empirical results indicate that GSCI is positively associated with both exploitative and exploratory GI, with a higher effect on exploitative GI. In addition, GKIC mediates the link between GSCI and exploitative GI in contrast to exploratory GI. Notably, the relationship between GSCI and GKIC is stronger when BCT adoption is high.

This study opens the black box of how GSCI affects exploitative and exploratory GI by revealing the mediating role of GKIC and the moderating role of BCT adoption. It provides valuable insights for practitioners to translate GSCI efforts into GI through developing GKIC and adopting BCT.

Although green entrepreneurial orientation (GEO) has received much attention, it is unclear whether it affects technological green innovation (GI). Therefore, this study aims to understand how GEO affects technological GI, with its dimensions green product innovation (GPRODI) and green process innovation (GPROCI), as well as to explore whether resource orchestration capability (ROC) moderates the relationships between them.

Based on a cross-sectional survey design, data were gathered from 177 managers of large manufacturing firms in Yemen and analysed using partial least squares structural equation modelling via SmartPLS software.

The results revealed that GEO positively affects both GPRODI and GPROCI, with a higher effect on GPROCI. Importantly, ROC does, in fact, positively moderate the link between GEO and GPRODI.

This research adds to knowledge by combining GEO, ROC and technological GI into a unified framework, considering the perspectives of the resource-based view and the resource orchestration theory. However, the study’s use of cross-sectional survey data makes it impossible to infer causes. This is because GEO, ROC and technological GI all have effects on time that this empirical framework cannot account for.

The findings from this research provide valuable insights for executives and decision makers of large manufacturing companies, who are expected to show increasing interest in adopting ROC into their organisations. This suggests that environmentally-conscious entrepreneurial firms can enhance their GI efforts by embracing ROC.

By adopting the proposed framework, firms can carry out their activities in ways that do not harm environmental and societal well-being, as simply achieving high economic performance is no longer sufficient.

Theoretically, the results offer an in-depth understanding of the role of GEO in the technological GI domain by indicating that GEO can promote GPRODI and GPROCI. In addition, the results shed new light on the boundaries of GEO from the perspective of resource orchestration theory. Furthermore, the findings present important insights for managers aiming to enhance their comprehension of leveraging GEO and ROC to foster technological GI.

While the significance of green entrepreneurial orientation (GEO) has been acknowledged, it is still not fully understood how GEO influences green innovation (GI). Depending on the natural resource-based view (NRBV), the practice-based view (PBV) and contingency theory (CT), the authors explore how GEO affects GI via green manufacturing practices (GMPs) and the moderating role of green technology turbulence (GTT).

Using the data gathered from large firms in Yemen, the suggested model was tested through hierarchical regression analysis using the PROCESS Macro in SPSS.

The empirical results reveal that GEO is positively related to GMP, which in turn is positively related to GI. Importantly, GMP mediates the link between GEO and GI. The results also demonstrate that GTT positively moderates the GEO-GI link.

This study makes a valuable contribution to the existing literature on sustainability and holds significant importance for managers seeking to enhance their understanding of utilizing GEO for fostering GI.

The purpose of this paper is to propose a conceptual framework that establishes the linkages among green dynamic capability (GDC), green innovation (GI), organisational creativity (OC) and organisational agility (OA), which influence small and medium enterprises (SMEs) sustainability performance (SP) in trade and service sectors in Thailand.

This paper conducts a search of existing literature regarding SMEs SP. A conceptual framework is provided that can be used by SMEs to enhance their SP driving sustainable business growth.

A framework for SMEs sustainability is proposed, which demonstrates the connection between GDC and SME SP, with GI and OC as mediators and OA as a moderator.

This paper is limited in terms of the scope of SME sustainability in the context of the trade and service sector. Future empirical study should be conducted to validate the proposed framework and hypotheses in this study.

This study forms the basis for the enhancement of SMEs SP in relation to boosting their GDC, GI, creativity and agility.

This paper presents a comprehensive framework that leads to the conceptualisation of SME SP. It will help practitioners and academics to better understand the causes of SMEs SP.

This study sought to determine the role of green human resource management (GHRM) in fostering employees' environmental performance (ENVP). This study aims to advance knowledge related to the role of firms’ GHRM activities in cultivating eco-responsible behaviors among employees, considering green innovation (GI) as a mediator.

For this study, data of 579 respondents were collected from employees working in the manufacturing industry in India. In all, 579 employees from the manufacturing sector in India participated in the study. The proposed model was tested using SMART PLS 3.3.

The findings of this study stated that GHRM was found significantly to predict ENVP in the Indian manufacturing industry, and GI exhibited partial mediation. This study emphasizes that GHRM activities carried out by firms encourage employees to engage in innovation to develop green products and find novel green operation processes to improve firms’ ENVP.

As this study is limited to manufacturing organizations in India, the results of this study cannot be generalized; future studies may examine the proposed model in different contexts to generalize findings.

This study encourages policymakers to devise laws to enable organizations to implement GHRM practices. This study contributes to the existing literature on the environmental aspects of corporate social responsibility and environmental management. This study is one of the few attempts that seek to assess the relationship between GHRM, ENVP and GI in the Indian manufacturing industry. The contribution of this paper is significant to limit GHRM literature, as it empirically investigates the association between GHRM and ENVP.

Given the critical importance of green innovation (GI) for organizations in developing economies, this study aims to examine the interrelationship between knowledge management (KM) enablers, KM processes and GI. The research also indicates that certain combinations of KM enabler dimensions and KM processes can lead to better GI.

The study sample consists of 328 participants from Pakistan's medium- and large-sized manufacturing enterprises. Smart PLS 3.2.9 is used to verify the relationships. Moreover, the fuzzy set qualitative comparative analysis (fsQCA) investigates configurational paths for improving GI.

The results demonstrate that KM enablers significantly affect two aspects of GI – green product and process innovation – and KM processes. Moreover, KM processes significantly enhance two aspects of GI. The fsQCA findings indicate multiple combinations of KM enablers and KM processes dimensions that result in better GI.

To better understand the critical role of knowledge resources, future studies should explore the potential mediating mechanisms of KM processes or the moderating effects of strategic organizational factors in the relationship between KM enablers and GI.

The study offers valuable insight and a unique approach for policymakers and executives of corporations in developing countries to enhance their organizations' GI capacity through KM enablers and KM processes.

This research contributes to bridging research gaps in the literature and advances insights into the interrelationship among KM enablers, KM processes and GI. In addition, the study offers methodological significance by combining direct and configurational techniques to address two distinct facets of GI.

This research examines the relationship between the green version of intellectual capital (IC) (measured through green versions of human, structural and relational capitals (GHC, GSC and GRC)), co-creational capital (CC), green innovation (GI), technological innovation (TI) (measured through artificial intelligence) and start-up competitive advantage (SCA).

An online questionnaire collected data from 275 participants. To test the hypotheses, the data were analyzed using SmartPLS.

The results confirmed the positive influence of GSC and CC on TI and GI, GRC with GI and that of GI and TI with SCA. The results also reveal that IC can influence innovation and describe how innovation can drive the competitive advantage (CA) of start-ups.

This self-report study examines the associations by collecting data at one point in time, which results in methodological limitations regarding the generalization of the results. The second limitation is that the findings are limited to start-ups.

This research work examined a model that combined three components of green IC, customer capital, two forms of innovation and CA. These associations have not been previously examined yet can provide useful insight into what drives green and TIs and how they further influence competitiveness. This study provides unique inferences that improve the value of the literature on IC and innovation, using start-ups as context.

This study aims to assess the effects of green supply chain management (GSCM) strategies on health-care organizations’ environmental performance (EP). It also assesses that green innovation (GI), including green technology innovation (GTI) and green management innovation (GMI), plays mediating roles in the connection between GSCM and EP.

In total, 375 health-care sector employees in the Chattogram division of Bangladesh provided opinions in the questionnaire survey. PLS-SEM was used to verify the data’s validity and reliability and assess the hypotheses.

The findings reveal that GSCM practices significantly positively impact GI and EP. Moreover, GTI and GMI mediate the relationship between GSCM and EP in Bangladesh’s health-care sector.

The current findings could promote environmental sustainability in Bangladesh’s health-care industry by fostering environmental collaboration.

The detection of the mediation effect of GTI and GMI on GSCM and EP is a unique contribution of this study that enriches the present GSCM and GI literature, particularly in the Bangladeshi health-care sector.