Investigating the impact of business intelligence on green supply chains based on collaborative learning in small and medium-sized industries
Subject Areas : Production and Operations Managementseyed ahmad shayan nia 1 , ebrahim niknaghsh 2 * , amir gholamabri 3 , hossein karamifard 4
1 -
2 - Department of Industrial management, Fi.c. , Islamic Azad University, Firoozkooh, Iran
3 - Department of mathemathics, Fi.c. , Islamic Azad University, Firoozkooh, Iran
4 - Department of Industrial management, Fi.c. , Islamic Azad University, Firoozkooh, Iran
Keywords: Small and medium-sized enterprises, business intelligence, green supply chain, collaborative learning, organizational learning.,
Abstract :
More than a business strategy, a green supply chain represents an organization's commitment to social responsibility and environmental protection. By adopting this approach, companies can play an effective role in creating a cleaner and more sustainable world for future generations.The aim of the present study is to investigate the impact of business intelligence on the green supply chain based on the participatory learning method. Accordingly, small and medium-sized industries have been considered and studied as a statistical population. In terms of methodology, this research is of a survey and applied type and is based on the field method. Since the most common tool used in the field method is a questionnaire, a standard questionnaire with 61 questions has been used to measure this relationship and measure its extent. Skewness and kurtosis have been used to test the normality of the data. To measure the validity of the questionnaire, two types of logical validity and construct validity and reliability were used in three ways: factor loading coefficients, Cronbach's alpha coefficients and composite reliability. A standard questionnaire focusing on business intelligence, green supply chain, and organizational learning was used on a five-option Likert scale, whose validity and reliability were examined and approved. The analysis method was the use of structural equations. Finally, this research concluded that business intelligence has a significant effect on the green supply chain. Also, collaborative learning is also effective as a mediating variable in the effect of business intelligence on the green supply chain. Finally, practical suggestions for small and medium-sized industries were presented.
Ahmad, S., Miskon, S., Alabdan, R., & Tlili, I. (2021). Statistical assessment of business intelligence system adoption model for sustainable textile and apparel industry. IEEE Access: Practical Innovations, 106560–106574. VOLUME 9. Open Solutions.
Alikhani, M., Naderi, N., & Kazemi, E. F. (2021). The Impact of business intelligence on CRM case of study: Shuttle companies’ group. Science and Technology Policy Letter, 11(3), 36.
Albrecht, k. (2003).Organizational Intelligence Survey Preliminary Assessment Australian Managers.
Carneiro, A. (2021). “The role of Intelligent Resources in Knowledge Management”, Journal of Knowledge Management, Vol. 5, No. 4, pp. 358-367.
Chen, Y., & Lin, Z. (2021). Business intelligence capabilities and firm performance: A study in China. International Journal of Information Management, 5, Article 102232.
Hamad, F., Al-Aamr, R., Jabbar, S. A., & Fakhuri, H. (2021). Business intelligence in academic libraries in Jordan: Opportunities and challenges. IFLA Journal, 47, 37–50.
Nithya, N., & Kiruthika, R. (2021). Impact of business intelligence adoption on performance of banks: A conceptual framework. Journal of Ambient Intelligence and Humanized Computing, 12, 3139–3150.
Zhang, L., Vinodhini, B., & Maragatham, T. (2021). Interactive IoT data visualization for decision making in business intelligence. Arabian Journal for Science and Engineering, 1–11.
Zhi-xiong Huang a, K.S. Savita, Li Dan-yi, Abdullah Hisam Omar (2022). The impact of business intelligence on the marketing with emphasis on cooperative learning: Case-study on the insurance companies. Information Processing and Management.
Zhi-xiong Huang , K.S. Savita, Jiang Zhong-jie (2021). The Business Intelligence impact on the financial performance of start-ups,4