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Big data analytics capabilities are the driving force and deemed as an operational excellence approach to improving the green supply chain performance in the post COVID-19 situation. Motivated by the COVID-19 epidemic and the problems it poses to the supply chain's long-term viability, this study used dynamic capabilities theory as a foundation to assess the imperative role of big data analytics capabilities (management, talent and technological) toward green supply chain performance.

This study was quantitative and cross-sectional. Data were collected from 374 executives through a survey questionnaire method by applying an appropriate random sampling technique. The authors employed PLS-SEM to analyze the data.

The findings revealed that big data analytics capabilities play a significant role in boosting up sustainable supply chain performance. It was found that big data analytics capabilities significantly contributed to supply chain risk management and innovative green product development that ultimately enhanced innovation and learning performance. Moreover, innovation and green learning performance has a significant and positive relationship with sustainable supply chain performance. In the post COVID-19 situation, organizations can enhance their sustainable supply chain performance by giving extra attention to big data analytics capabilities and supply chain risk and innovativeness.

The paper specifically emphasizes on the factors that result in the sustainability in supply chain integrated with the big data analytics. Additionally, it offers the boundary condition for gaining the sustainable supply chain management.

The purpose of this article is to analyze how autonomous and controlled motivations influence the formation of patronage intention (PI) of innovative green products. Additionally, the role of positive affect (PA) in these causal relationships is analyzed, as is the moderating role of social norms (SN).

Data were collected through an online self-administered questionnaire. The paper reports the results of a quantitative study based on a sample of 338 people of 24 years old or older, with different levels of education and motivations in terms of acting in favor of the environment. To ensure the reliability and validity of the constructs, an exploratory and confirmatory factor analysis (CFA) was used. To test the proposed research model, the methodology of structural equations was used.

The results indicate that autonomous motivations (AMs) contribute positively to the formation of patronage intention toward innovative green products, while controlled motivations (CMs) influence negatively. Additionally, it was observed that PA fulfills a relative role in the formation of patronage intention and that SN act as moderators of these causal relationships.

These findings serve as a base for companies to identify those segments of consumers that are motivated autonomously by care for the environment and thus to design effective strategies to achieve their patronage intention.

Considering the relevance of the consumption of green products, as well as how companies can achieve the patronage intention of the consumer, this study shows a high level of originality in the sense that it analyses the role of motivations and PA in the formation of patronage intention of green products, especially when these are perceived as innovative.

El propósito de este artículo es analizar cómo las motivaciones autónomas y controladas influyen en la formación del patronage intention of innovative green products. Además, se analiza el papel que cumple el positive affect en estas relaciones causales y el rol moderador de las social norms.

Los datos se recopilaron a través de un cuestionario auto administrado en línea. La investigación reporta los resultados de un estudio cuantitativo basado en una muestra de 338 personas de 24 años o más, con diferentes niveles de educación y con diferentes motivaciones en cuanto a actuar a favor del medio ambiente. Para asegurar la confiabilidad y validez de los constructos, se utilizó un análisis factorial exploratorio y confirmatorio. Para probar el modelo de investigación propuesto se utilizó la metodología de ecuaciones estructurales.

Los resultados indican que las motivaciones autónomas contribuyen positivamente sobre la formación del patronage intention hacia innovative green products, mientras que las controladas influyen negativamente. También se observó que el positive affect cumple un rol relativo en la formación del patronage intention y que las social norms lo hacen como moderadoras de estas relaciones causales.

Estos hallazgos sirven de base para que las empresas puedan identificar a aquellos segmentos de consumidores motivados autónomamente por el cuidado del medio ambiente y diseñar estrategias efectivas para lograr su patronage intention.

Considerando la relevancia que tiene tanto el consumo de productos verdes, así como que las empresas logren el patronage intention del consumidor, el presente estudio muestra un alto nivel de originalidad, en el sentido que analiza el papel que cumplen las motivaciones y el positive affect, en la formación del patronage intention de productos verdes, especialmente cuando estos se perciben como innovadores.

Growing environmental challenge awareness among consumers is today's business reality that pushes for sustainable product development. Governments, industries, and consumers' attention are significantly moved from traditional products to eco-friendly product development. Green product development is the future for manufacturing businesses' survival in most markets. Green product development is an emerging phenomenon and, unfortunately, lacks theoretical and empirical research regarding effective organizational policies and practices for green product development. This study aims at filling research gaps towards green product development by highlighting green employee aspects influenced by leadership for sustainable business growth. The study hypothesized relations between the green effect of transformational leadership on green product development as an outcome through green behaviour, green climate, and green innovative creativity. Data was collected from small and medium enterprises (SMEs) of Karachi through a self-administered survey questionnaire. Results revealed significant support for hypothesized relations through the partial least square statistical tool. This study contributes theoretical and empirical advancement in past literature wherein leadership style influences employee behaviour that leads to predict product development from an environmental perspective. Study inferences suggest for visionary green leadership style for sustainable business growth. Limitations of this study regarding other variable inclusiveness, sampling, and geography are potential extensions for further scholarly investigation.

The purpose of this study is to analyse the effect of organisational agility on environmental knowledge as an instrument for the successful development of eco-innovation in products.

This study used a cross-sectional design to collect data on the study variables from a sample of 184 Spanish manufacturing organisations. Structural equations with partial least squares were used to test the hypotheses.

Organisational agility is significantly linked to internal and external environmental knowledge. The results of this study highlight the effect of external knowledge on the success of eco-innovation. Internal environmental knowledge positively moderates the effect of external knowledge on the success of green products.

Based on the dynamic capabilities approach, a theoretical model has been proposed in which organisational agility is configured as an effective capacity for the development of environmental knowledge. The results confirm this relationship and indicate that, although internal environmental knowledge is not decisive in developing new green products, it does enhance the effect of external knowledge on the success of eco-innovation.

Innovative companies must implement organisational agility practices that promote environmental knowledge for the success of new green products. They should also promote both external and internal knowledge.

This study addresses the little explored area of the relationship between organisational agility and the successful development of new green products. The inherent particularities of eco-innovation prompt the need for further studies on the creation of specific knowledge for its promotion. This study concludes that adopting agile practices enables key environmental knowledge for this type of innovation to be created. Additionally, it explores the tensions arising from the dichotomy between internal and external knowledge, with scarce resources allocated to the most effective source. Although both types of knowledge seem to be equally relevant, external knowledge plays a more significant role in the case of eco-innovation. A final contribution of this study is the finding that internal knowledge can further enhance the effect of external knowledge on the development of successful green products.

This study aims to investigate the interrelationships between lean production, green technology adoption, green product innovation, social sustainability performance and green competitiveness. The study further investigates the mediation roles of green technology adoption and green product innovation between lean production systems, social sustainability performance and green competitiveness.

The quantitative research approach is used for the study. Data for the study is garnered from 197 managers of manufacturing firms in Ghana via a self-administered questionnaire. Structural equation modeling, specifically partial least square is applied as the methodological tool to test all hypotheses.

Results of the study suggest that lean production systems have a significant positive impact on green technology adoption, green product innovation and green competitiveness. However, lean production systems are found to have an insignificant impact on social performance. The results further confirm the mediation roles of both green technology adoption and green product innovation between lean production systems, social sustainability performance and green competitiveness; thus indicating that lean production systems create an efficient condition for firms to adopt green technologies and produce innovative green-based products to leverage superior social sustainability performance and green competitiveness.

This study proposes and develops a comprehensive research model that is supported by the natural resource-based view theory to investigate the link between lean production systems, green technology adoption, green product innovation, social sustainability performance and green competitiveness from an emergent country perspective.

Enhancing green innovation for corporate sustainability is one of the recent issues globally. Knowledge management has been determined as a core factor that hamstrings green innovation. The existing literature was limited to expose the importance of the knowledge management process for corporate sustainable performance. Thus, this paper aims to examine the role of the knowledge management process for corporate sustainable performance with the integration of green innovation and organizational agility following the resource-based view theory.

Cross-sectional design was used in this study. Data were gathered through convenience sampling from 475 respondents of multinational manufacturing corporations of Pakistan, analyzed by using structural equation modeling.

This study revealed that the knowledge management process and its all constructs (acquisition, dissemination and application) lead toward green innovation; further, green innovation influences corporate sustainable performance and its all constructs (environment, economic and social). Green innovation partially mediates the association between the knowledge management process and corporate sustainable performance. Besides, organizational agility has a positive effect on green innovation and corporate sustainable performance but was not found moderating these relations. The study educates that organizations investing in innovative technologies and adopting greener strategies are not only adequate for achieving sustainable performance, soft issues such as knowledge management and organizational agility but also important factors in the current knowledge base economy.

This study is an attempt to examine the previously undiscovered multi-dimensional relationships among the knowledge management process, green innovation, organizational agility and corporate sustainable performance. The presence of a positive correlation among these constructs was observed, proving the conceptual framework for this study.

The purpose of this article is to investigate the influences of green product innovation and product process innovation on two constructs of green innovation casual chain: green product competitive advantage and green new product success. The impacts of green product competitive advantage as a partial mediator in the link between green product/process innovations and green new product success are also examined.

A model with four constructs is presented and tested on a sample of 203 R&D project leaders of electronics firms operating in China using quantitative methods.

It is found that green product and process innovations are positively associated with green product competitive advantage and green new product success, and green product competitive advantage partially mediates the relationships between green product/process innovations and green new product success. It is also found that green product innovation exerts a stronger influence on the consequential constructs than green process innovation.

The positive causalities among the constructs suggest that green innovation is more than a branding support. It pays to pursue green innovation. Green product innovation is demonstrated to have a positively stronger influence on both green product competitive advantage and green new product success than green process innovation. The difference in impact signals that when operating under limited resources, green product innovation should be pursued first.

The article addresses the gap in green innovation theory concerning the associations among the key constructs of green innovation causal chain. It is the first green innovation research ever conducted in the e‐industry in China. The causalities identified can be leveraged to improve Chinese e‐industry players’ innovative and competitive capabilities and to encourage them to stay proactive in addressing challenges arising from environmental issues.

The purpose of this paper is to present a research model that defines the inter‐relationships between strategic green orientation, integrated product development, supply chain coordination, green performance outcomes and business unit performance. This paper aims to address innovation issues by integrating strategic orientation, internal business practices, supply chain coordination, and performance outcomes measures.

The international data of 711 firms accessed through the International Manufacturing Strategy Survey (IMSS IV) are used to validate this model.

A firm's strategic green orientation involves past green practices, implementation of innovative environment improvement program and future commitment for environmental practices. This strategic green orientation is supported by a set of inter‐organizational innovation practices such as integrated product development practices, effective coordination of supply chain network and relevant and measurable performance outcomes.

The model, variables, empirical tests and results in this paper suggest a new understanding about strategic green orientation and its relationships with product development practices and supply chain coordination. The framework is intended both to explicitly inform senior executives of the importance of inter‐organizational innovation practices such as strategic green orientation in terms of past, present and future practices as well as to the factors that effectively implement such strategic direction and commitment. It is also intended to provide a lens with which further research can be directed to enhance environmental reputation and outcomes of firms through new product development practices and supply chain network coordination and the sustainable long‐term competitive advantages of the firms.

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.