Learning and knowledge creation are acknowledged as crucial drivers associated with entrepreneurial orientation (EO) and innovation capability (IC). Absorptive capacity (AC) harmonizes internal innovation-building activities with external opportunities, while organizational learning capabilities (OLC) foster entrepreneurial cognitive skills and innovation capabilities. This study aims to (1) predict the impact of absorptive capacity and organizational learning on IC and (2) to estimate the mediation effect of OLC and AC on the relationship between entrepreneurial orientation and innovation capabilities. Drawing upon the dynamic capability theory, the study had applied a cross-sectional survey targeting Algerian firms to test the hypotheses. The study findings indicate that EO is positively associated with innovation capability. Besides, even though both OLC and AC partially increase EO’s interaction impact on innovation capability as a mediation role, suggesting that the more a firm is entrepreneurially oriented, the more learning and knowledge creation processes are involved in the interaction relationship. This study’s core focus is to overcome the substantial role of learning and knowledge creation processes as an intangible proactive resource that fosters the EO mindset to get involved in innovation activities. It has been discovered that AC and OLC as a connectedness mechanism links external knowledge and internal learning processes to accompany EO readiness during innovation development.

Purpose: 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.Design/methodology/approach: 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.Findings: 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.Practical implications: 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.Originality/value: 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.

Purpose: 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.Design/methodology/approach: 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.Findings: 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.Practical implications: 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.Originality/value: 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.

Understanding and predicting the relationship between big data analytics (BDA) and knowledge management (KM) and how they complement each other is still an ambiguous and strategically crucial issue. This study aims to investigate the interrelationships between BDA and KM in fostering green innovation practices (GIP) and organizational performance and, in addition, to explore the mediation effect of KM and how it can boost the impact of BDA on GIP. Based upon the underpinning theories that cover the study’s research model, several hypotheses were proposed and then examined. Using a cross-sectional research design, 174 questionnaires were collected from medium and large Algerian manufacturing firms. The study applied smart PLS-SEM for data analysis. The sorted results show that BDA positively impacts KM and GIP. The results also indicate that GIP positively influences and increases firm performance. In addition, the findings reveal that government support plays a significant part in leveling up firms’ GIP. Furthermore, the study emphasizes the critical impact of KM to polish the impact of BDA on GIP. This study highlights the necessity of improving the technological and managerial aspects of BDA by determining valuable capabilities, such as KM processes, to enhance organizational performance. Tracking business opportunities and predicting their relevant threats has become a severe concern to knowledge-extensive firms. Therefore, BDA can enable managers to absorb a large amount of data to increase the efficiency of a business decision to ensure survival and advancement. The study discusses both practical and theoretical implications.

Establishing equilibrium between business growth and environmental sustainability is one of the core focuses of green entrepreneurship. However, the scarcity of resources, ecological concerns, business growth, and survival are among the issues that are recognized by entrepreneurs. In the light of the Natural Resource-Based View (NRBV) and Dynamic Capability View, this study aims to examine the effects of Green Innovation Performance (GIP) on Green Entrepreneurship Orientation (GEO) and Sustainability Environmental Performance (SEP). As advocated by NRBV, this study emphasizes the importance of pursuing the three types of distinct yet interrelated environmental strategies and its association impact on GEO. The results indicated that internal green dynamic capabilities, namely, green absorptive capacity, environmental cooperation, and managerial environmental concern to have significant positive effects on GIP, where GIP positively impacted GEO and SEP. Besides, GIP partially mediated the relationship between internal green dynamic capabilities on GEO and SEP. The results also demonstrated that environmental regulations significantly moderated the relationship between GEO and SEP. Furthermore, by linking these three concepts in a single model, this study theoretically pioneering and responding to bridge significant gaps emerged in the NRBV theory. This study provides crucial practical implications for entrepreneurs, policymakers, and academicians. Limitations were also discussed.