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The main purpose of this study is to assess the influence of business analytics (BA) on supply chain ambidexterity (SCA) and market learning (ML) in the context of Iran as a developing country.

The study population encompasses a range of key positions such as senior managers, supply chain managers, senior IT managers and senior marketing and marketing research managers in Iran. Through a survey, a questionnaire was designed to gather data from these individuals. The data collected from a total of 214 participants underwent rigorous analysis using structural equation modeling.

Findings revealed BA has a positive influence on SCA and ML. Furthermore, the study found that distinct facets of ML, namely, exploratory and exploitative learning, exerted a positive influence on SCA. Additionally, the investigation uncovered that the mechanisms of exploratory ML and exploitative ML play a partially mediating role in the relationship between BA and SCA.

It is prudent to acknowledge that the study’s sampled entities were exclusively Iranian companies, potentially curtailing the extent of generalizability of our findings.

This research contributes valuable theoretical insights and practical implications to policymakers and top managers of organizations, particularly the surveyed organizations to formulate and implement an appropriate strategy to avail of BA techniques toward enhancing SCA. Also, this study provides significant insights into the determinants of SCA and demonstrates how organizations can leverage data analytics and ML to attain sustained growth and ambidexterity within the supply chain context.

This research investigates the impact of business analytics (BA) on corporate entrepreneurship (CE) and open innovation (OI), considering the moderated mediation analysis in the context of Iran as a developing country. The study was conducted in various industries, including food, chemicals, agriculture, automobile, and service industries, with 207 observations.

Through an in-depth review of the extant literature a conceptual model was developed and the proposed hypotheses were tested using Structural Equation Modeling technique (PLS-SEM).

The results indicate that business analytics has significant effects on corporate entrepreneurship and open innovation. Open innovation has a significant effect on corporate entrepreneurship, with open innovation serving as a suitable mediator. Furthermore, the moderated mediation analysis shows the positive impact of Business Analytics on Open Innovation-Corporate Entrepreneurship relationship.

As this study was conducted in Iran, one of the main limitations can be attributed to the specific characteristics of the country which may affect how and how much the variables influence each other.

The study highlights the importance of promoting Open Innovation in organizations and utilizing Business Analytics to make strategic decisions and foster innovation in entrepreneurial activities.

This study fills the gap in the literature by exploring how BA contributes to corporate entrepreneurship of the Iranian organizations in various industries, given open innovation as a mediator under dynamic market conditions.

This study aims to investigate the effects of green brand equity (GBE) on green brand attachment (GBA), green self-brand connection (GSBC), green brand attitude (GBAT) and green word of mouth (GWOM). Moreover, the mediating role of three main factors, namely, GBA, GSBC and GBAT.

Through an in-depth review of the relevant literature, a conceptual model was developed and a questionnaire was designed. Out of 600 distributed questionnaires among customers of disposable tableware brands in Tehran, 265 questionnaires were returned. Data were analyzed for measuring the proposed model using the structural equation modeling technique.

The obtained results showed that GBE has positive impacts on GBA, GSBC, GBAT and GWOM. GBA, GSBC and GBAT have positive impacts on GWOM. Also, GBA, GSBC and GBA partially mediate the relationship between GBE and GWOM.

This study has been done in the context of Iran, so caution should be taken to generalize the results.

This study provides a clear insight for brand managers and marketers about the mechanism of enhancing green signals, which a brand can transfer to consumers through GBE. Also, the study suggests that companies should design their advertisement in a way that demonstrates the environmental responsibility of the brand and environmentally friendly features of products to increase consumer awareness of environmental concerns.

The obtained results might increase green awareness among the people which is hoped other industries, particularly manufacturing ones make necessary efforts toward promoting the implementation of green manufacturing.

The results provide important environmental concepts in the field of green marketing and use sustainable development and signaling theories to enhance the attraction of disposable tableware in both business-to-business and business-to-consumer contexts. This study also adds a new concept of GSBC to the marketing literature.

The purpose of this paper is to investigate the impact of strategic collaboration (SC) on sustainable supply chain management (SSCM), considering the mediating role of internal knowledge sharing (IKS) and external knowledge sharing (EKS).

The study population consisted of experts associated with the supply chain in the automotive, food, clothing, pharmaceuticals and chemicals industries. After reviewing the literature, a conceptual framework was developed and applied using a structural equation modeling approach. In this study, samples with 271 observations were collected from manufacturing and servicing companies in Iran.

The results showed that SC in the supply chain has a positive impact on the IKS and EKS and SSCM. IKS and EKS have a positive impact on SSCM. Also, the results showed that IKS and EKS fully mediate in the relationship between SC and SSCM.

This study has been done in the context of Iran, so caution should be taken to generalize the results.

The findings of the study contribute to the knowledge of the managers and policy makers in achieving SSCM. The results provide the important environmental and social concepts regarding the sustainability of supply chain using SC and IKS and EKS.