Evaluating the relationships between the indicators of choosing the appropriate inter-organizational information system in the digital green supply chain using Fuzzy DEMATEL

Evaluating the relationships between the indicators of choosing the appropriate IOIS in the DGSC using Fuzzy DEMATEL

Objective: This research identifies and analyzes the selection indicators of Inter-Organizational Information Systems (IOIS) in the Digital Green Supply Chain (DGSC) using the fuzzy DEMATEL method in the copper industry.

Introduction: Evaluation of information in the integration of the facilities chain and the adoption of inter-organizational information systems to achieve economy, reduce risk, increase competitiveness and express the investment of technologies. The use of digital technologies can be extremely effective in achieving sustainability goals by reducing carbon emissions, reducing waste, and conserving natural resources. Digital technologies such as blockchain, Internet of Things, and artificial intelligence can be used to track and monitor the environmental impact of products throughout the supply chain, enabling companies to make informed decisions about their sustainability practices (Deepu and Ravi, 2021). The transition from the traditional supply chain to the digital supply chain is a competitive advantage by creating sustainable value for organizations. The digital supply chain can help to strengthen the integrity and flexibility of the supply chain as the development of information systems and the use of innovative technologies, and as a result, improve customer service and sustainable performance of the organization. Clearly, DSC integrates innovative technologies such as big data and blockchain, focuses on customers/consumers, reduces internal and inter-organizational costs, and creates more value for organizations (Ageron et al., 2020). Regarding the analysis of IOIS indicators in the digital green supply chain, the following problems can be mentioned: First, some indicators are used in DGSC to evaluate the performance of organizations, but due to the lack of agreement on the precise definition of these indicators and their calculation methods, the accuracy and the reliability of these indicators is questioned. Second, the inability to examine all aspects of DGSC and its effects on IOIS indicators may cause inaccurate results.

Case study: Mes Sarchesheme is located 45 km away from Rafsanjan city. Sarcheshmeh Copper is considered one of the largest mineral industrial complexes in the world and is the largest producer of copper in Iran. Sarchesheme copper has 32% of the world's copper and is one of the richest mines in the world.

Materials and Methods: First, by reviewing the literature and using Atlas TI software, 34 indicators are coded and identified in the field of DGSC, and after checking the CVR, based on the opinion of academic and industrial experts, 29 indicators are finalized. Then, the fuzzy DEMATEL questionnaire is designed and provided to the experts. After collecting the data, the fuzzy DEMATEL technique is used.

Discussion and Results: The findings show that the indicators of the use of new digital technologies in the dimension of digitalization of the supply chain, speed in the dimension of improving relations between business partners, reliability in the dimension of improving productivity and the ability to implement technologies green in the dimension of social responsibility are the most influential indicators and Indicators of facilitating the virtual business network in the dimension of digitalization of the supply chain, the level of access of the members of the supply chain to information in the dimension of improving relations between business partners, quality in the dimension of improving productivity and the ability to evaluate the greenness of the chain Supply in the dimension of social responsibility are the most effective indicators.

Conclusion: Based on the findings of the research, suggestions are made to improve the performance of the supply chain and reduce the negative effects of some factors on the environment in the copper industry, as well as for future research. The findings and suggestions of this research can pave the way for future research in the field of improving inter-organizational information systems in the digital green supply chain.

Keywords: Inter-Organizational Information Systems (IOIS), Digital Green Supply Chain (DGSC), Fuzzy DEMATEL

References
Ageron, B., Bentahar, O., & Gunasekaran, A. (2020). Digital supply chain: challenges and future directions. Supply Chain Forum: An International Journal. Vol. 21, No. 3, pp. 133-138. https://doi.org/10.1080/16258312.2020.1816361
Deepu, T. S., & Ravi, V. (2021). Supply chain digitalization: An integrated MCDM approach for inter-organizational information systems selection in an electronic supply chain. International Journal of Information Management Data Insights, 1(2), 100038 https://doi.org/10.1016/j.jjimei.2021.100038