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The growing relevance of environmental sustainability calls for identification of factors that contribute to green innovation and build green corporate reputation. Drawing on the resource-based view theory, this study aims to explore the influence of green logistics knowledge, green customer knowledge, green supplier knowledge, green competitor knowledge, non-supply chain learning on green innovation and green corporate reputation.

This study adopts the quantitative research method where questionnaire is used to gather data from managers of the sampled 208 small and medium enterprises (SMEs). The structural equation modelling is used to analyse the survey data and test the proposed hypotheses.

The findings reveal that non-supply chain learning, green customer knowledge and green competitor knowledge have both direct and indirect impact on green innovation and green corporate reputation. However, green supplier knowledge and green logistics knowledge directly impact green innovation but indirectly impact green corporate reputation through green innovation.

Despite the growing literature exploring the relationship between learning, innovation and reputation, their literature in emerging economies remains underdeveloped. This study provides empirical evidence to confirm the role of non-supply chain learning and green supply chain knowledge in building green corporate reputation and developing green innovation of SMEs in an emerging economy.

Understanding the factors that advance green innovation is crucial for firms to deal with the complexity of green innovation. In light of this, this study aims to explore the influence of supply chain knowledge, non-supply chain learning and corporate reputation on green innovation.

This study uses a quantitative research approach where data is gathered from managers of 208 small and medium enterprises in Ghana using survey questionnaires. The structural equation modeling is used to analyze the survey data.

The findings reveal supply chain knowledge relates positively with non-supply chain learning, corporate reputation and green innovation. Corporate reputation also impacts green innovation positively and provides partial mediation effect between supply chain knowledge and green innovation. Meanwhile, non-supply chain learning does not relate positively with green innovation as well as fails to mediate the impact of supply chain knowledge on green innovation.

This study contributes to knowledge in the mediating mechanisms of corporate reputation and non-supply chain learning between supply chain knowledge and green innovation. Through this, the authors propose a theoretical model to explain how firms can leverage supply chain knowledge, corporate reputation and non-supply chain learning to improve green innovation and can serve as the basis for further theoretical and empirical research in innovation and external sources of knowledge.

Based on the dynamic capability view, this study aims to draw for the first time the missing link between big data analytics capabilities (BDAC) on both green absorptive capacity (GAC) and green entrepreneurship orientation (GEO). It is theoretically necessary to address how BDAC levels up the GAC to achieve the same level of GEO and then respond to their green business agenda. In addition, the study introduces knowledge sharing (KS) and green organizational ambidexterity (GOA) as potential moderating factors in the relationship between GEO and eco-innovation and explores the mediation role of GAC in the BDAC–GEO relationship.

The study collected 268 questionnaires from employees working in Chinese manufacturing firms using a self-administered survey and cross-sectional research design. The study applied SmartPLS to analyze the obtained data.

The findings revealed that BDAC positively and significantly influences GAC and GEO, positively impacting eco-innovation. The KS and GOA's moderation effect strengthens the relationship between GEO and eco-innovation. GAC partially mediates the relationship between BDAC and GEO.

The study advises firms to invest heavily in developing technological aspects of BDAC as a dynamic strategic capability that facilitates tracking and anticipating the future behavior changes of customers, competitors and market demands. BDAC also allows firms to upgrade and reconfigure their dynamic capabilities by responding to managerial, operational and strategic necessities. BDAC is necessary to increase GAC's impact and help drive GEO's eco-business agenda. Notably, the study gave superior attention to KS and GOA as a backbone of GEO to improve eco-innovation economic and managerial outcomes.

The study highlights the necessity to upgrade and integrate technological aspects of BDAC within firms' GEO to enhance green practices. Significantly, green business practices changed quickly as customers' needs and eco-markets fluctuated; BDAC is the crucial dynamic capability fostering GAC and entrepreneurs' green mindset to deal with environmental challenges. To the best of the author’s knowledge, this study is to predict the potential effect of BDAC on both GAC and GEO. BDAC helps firms to develop GEO eco-business agenda and balance green growth with green issues.

The purpose of this paper is threefold: to assess the impact of green brand positioning, consumers’ attitude toward green brands, and green brand knowledge on green product purchase intention; to investigate the influence of green brand knowledge on consumers’ attitude toward green brands; and to examine the moderating effect of green brand knowledge on the relationship between green brand positioning and green product purchase intention.

A questionnaire was utilized to gather the data (n=300) for this study. The purposive sampling technique was used, involving respondents who practice a green lifestyle and have had green product purchasing experience. The partial least squares (PLS) method, which is a variance-based technique for the analysis of structural equation modeling, was used to analyze the data, with the assistance of the SmartPLS computer program version 2.0.

Based on the standardized path coefficients of the structural model from the PLS results, green brand knowledge was found to be the most significant determinant of green product purchase intention. Knowledge of green brands has caused consumers to develop positive green marketing awareness and has bolstered their interest in fortifying the environment whilst preventing its degradation. Furthermore, green brand knowledge also impacted consumers’ attitude toward green brands. However, this factor was an insignificant moderator of the impact between green brand positioning and green product purchase intention.

Green brand positioning can be used by firms and businesses to better market their products and improve consumers’ green brand knowledge and attitude toward green brands, as well as increase green brand purchase intentions. Successful green brand positioning is seen as an advantage for marketers that can be used to differentiate their products from the available competitors, giving the impression that their products are distinguishable, and thus creating more demand and generating increased intention to purchase more green products.

The empirical results of this study address the gap in the prevailing body of literature in reference to the impact of green brand positioning and consumer attitude toward green brands, as well as the effect of green brand knowledge on green product purchase intention. This study found that green brand knowledge does not moderate the relationship between green brand positioning and green product purchase intention, thus providing insight into this subject matter, which has not been clearly examined in previous studies.

This paper aims at investigating the rather unexplored issue of how green innovators address the knowledge needs emerging when initiating a sustainability path, comparing their knowledge strategies with those of non‐green innovators.

The authors investigate this issue using data from the 2008 Italian Community Innovation Survey (CIS). Focusing on manufacturing firms, they identify the main characteristics and knowledge assets of firms introducing environmental innovations (EIs) as opposed to those of other innovators.

The authors' results suggest that the development of EIs entails a higher recourse to external knowledge, in the form of use of external sources of information, acquiring R&D from external firms and cooperation. Relationships with partners that do not belong to the supply chain – including KIBS, universities, research institutions and competitors – are far more important than for other innovations. On the contrary, differences between the two categories are less marked when it comes to investments in internal knowledge resources. Finally, proactive environmental innovators have very different knowledge strategies than reactive ones, which resemble non‐green innovators.

The main contribution of this paper is that it investigates the unexplored issue of how firms assess and develop the knowledge needed to develop EIs. By comparing them with the strategies of non‐green innovators, the analysis performed in the paper allows understanding the peculiarities of such innovations. Furthermore, the authors contribute to the literature by verifying how knowledge management strategies vary according to the differential importance that sustainability has for the firm's innovative strategy.

In the era of knowledge economy, the significance of intellectual capital has been increasing globally. Similarly, recent studies have focused on the importance of green intellectual capital in mitigating environmental degradation. However, only a few studies have analysed green intellectual capital and its impacts in the specific case of Pakistan. Hence, this study aims to investigate the effects of green intellectual capital on green innovation adoption in Pakistan’s manufacturing small and medium-size enterprises (SMEs).

We used a data sample of 235 SMEs, gathered from the four manufacturing sectors of Pakistan including: textile, chemical, pharmaceutical and steel and analysed using a multiple regression analysis approach.

The empirical results of this research indicate that green human capital and green structural capital significantly increase green innovation adoption. However, it must be noted that green relational capital has a positive but insignificant impact on green innovation adoption in manufacturing SMEs in Pakistan.

The findings and recommended policy measures of this study are important for the managers of manufacturing SMEs and policymakers to mitigate environmental destruction and achieve sustainable development through green intellectual capital.

Awareness of environmental impacts on society is increasing among companies. In order to turn environmental problems into business opportunities, many companies are beginning to consider how environmental, or green aspects can be integrated into their service offerings. This opportunity can be of specific interest to logistics service providers, whose core business is an environmental impact in itself. The purpose of this article is to indicate where green‐labelled logistics service providers are positioned today in their development, and to seek the underlying rationale in development of green service offerings.

This article takes a logistics service provider's perspective and is based on a multiple case study of six companies. The analysis is based on cross‐case analysis, and empirical, as well as theoretical, pattern matching.

The attitude towards a green approach differs among the case companies: while some are working towards a green integration throughout the entire business, others offer green alternatives to the original service offering. The results point to possible explanations for these differences, and include differences in range of service offerings, size, and to different management principles for green aspects.

The article can inspire logistics service providers in their continuing work to integrate green initiatives into the company. By introducing alternative green approaches in the development of service offerings, logistics service providers can match their own business and context with alternative rationales.

While most of the green logistics research focuses on the logistics system's characteristics, this article offers initial insights into how the integration of green aspects into logistics services can impact logistics service providers.

The purpose of this paper is to offer a perspective of brand-based analysis on green brand positioning differentiation through a network analysis approach.

This study employs centrality and distinctiveness as bases to develop a matrix framework of green brand positioning differentiation. The two dimensions are measured from the techniques of network analysis, including analysis of the core-periphery structure and adjacency matrix.

The results yield four clusters with different positions in a 2×2 matrix, including 23 core brands with high-positioning distinctiveness, ten core brands with low-positioning distinctiveness, ten peripheral brands with high-positioning distinctiveness, and seven peripheral brands with low-positioning distinctiveness.

The results contribute to providing brand researchers with different analytical perspectives on the existing knowledge about green brand positioning and offer strategic positioning information for green brand practitioners.

This research contributes to the literature in three ways. First, this research is a first attempt to offer a brand-based perspective on differentiation of green brand positioning. Second, this research advances the existing knowledge that uses network analysis on green brand positioning by offering different techniques for brand differentiation analysis. Finally, this research complements the strategic positioning information of the current business environment in the context of green branding.

The purpose of this study is to empirically examine the determinants and outcomes of Green Banking adoption and the moderating influence of top management commitment under the corporate environmental ethics ideology. External stakeholder pressures are analyzed as determinants of Green Banking adoption. Brand image and operational efficiency are examined as outcomes of this business ideology. Green Banking adoption is adapted as a second-order construct with four first-order reflective constructs to ensure in-depth conceptualization of the construct.

Green Banking adoption is studied at the bank branch level in a developing country, i.e. Pakistan. The data is collected from the branch managers of 212 bank branches from five major cities of Pakistan through mails. Self-administered survey was used for the data collection. The data was analyzed through the application of partial least square-structured equation modeling in SMART PLS 3.2.9. The measurement model and the structural model of the research framework were analyzed through the two-stage approach of the second-order analysis.

The results indicate a positive relationship between customer and competitor pressure and Green Banking adoption among bank branches in Pakistan depicting an influence of various environmental ethical pressures on bank’s adoption practices. Community pressure was shown to have no significant influence on Green Banking adoption at the branch level. The moderator of top management commitment caused a positive influence on the relationship between all the studied stakeholder pressures and Green Banking adoption. Branch managers reported branch image and operational efficiency to be enhanced due to Green Banking adoption.

This study attempts to fill in the significant gap in Green Banking adoption literature through an empirical analysis of Green Banking’s second-order construct. Currently, limited literature exists on the various aspects of Green Banking adoption, and an empirical study has not been conducted at the bank branch level. The study contributes significant practical, theoretical and methodological contributions to the area of Green Banking.

This study attempts to explore the linkages between reliable big and cloud data analytics capabilities (RB&CDACs) and the comparative advantage (CA) that applies in the manufacturing sector in the countries located in North Africa (NA). These are considered developing countries through generating green product innovation (GPI) and using green process innovations (GPrLs) in their processes and functions as mediating factors, as well as the moderating role of data-driven competitive sustainability (DDCS).

To achieve the aim of this study, 346 useable surveys out of 1,601 were analyzed, and valid responses were retrieved for analysis, representing a 21.6% response rate by applying the quantitative methodology for collecting primary data. Convergent validity and discriminant validity tests were applied to structural equation modeling (SEM) in the CB-covariance-based structural equation modeling (SEM) program, and the data reliability was confirmed. Additionally, a multivariate analysis technique was used via CB-SEM, as hypothesized relationships were evaluated through confirmatory factor analysis (CFA), and then the hypotheses were tested through a structural model. Further, a bootstrapping technique was used to analyze the data. We included GPI and GPrI as mediating factors, while using DDCS as a moderated factor.

The empirical findings indicated that the proposed moderated-mediation model was accepted due to the relationships between the constructs being statistically significant. Further, the findings showed that there is a significant positive effect in the relationship between reliable BCDA capabilities and CAs as well as a mediating effect of GPI and GPrI, which is supported by the proposed formulated hypothesis. Additionally, the findings confirmed that there is a moderating effect represented by data-driven competitive advantage suitability between GPI, GPrI and CA.

One of the main limitations of this study is that an applied cross-sectional study provides a snapshot at a given moment in time. Furthermore, it used only one type of methodological approach (i.e. quantitative) rather than using mixed methods to reach more accurate data.

This study developed a theoretical model that is obtained from reliable BCDA capabilities, CA, DDCS, green innovation and GPrI. Thus, this piece of work bridges the existing research gap in the literature by testing the moderated-mediation model with a focus on the manufacturing sector that benefits from big data analytics capabilities to improve levels of GPI and competitive advantage. Finally, this study is considered a road map and gaudiness for the importance of applying these factors, which offers new valuable information and findings for managers, practitioners and decision-makers in the manufacturing sector in the NA region.