Green Development Management Studies

Green Development Management Studies

Evaluating the Relationships Among Indicators for Selecting Appropriate IOIS in the Digital Green Supply Chain Using Fuzzy DEMATEL

Document Type : Original Article

Authors
Zahra Arab badoei 1
Mansour Esmaeilzadeh 2
Hamid Sharifi esfahani 2
Sha’ban Elahi 3
1 Master of Industrial Management, Faculty of Administrative Sciences and Economics, Vali-e-Asr University, Rafsanjan, Iran
2 Assistant Professor, Industrial Management, Faculty of Administrative Sciences and Economics, Vali-e-Asr University, Rafsanjan, Iran
3 Professor, Industrial Management, Faculty of Administrative Sciences and Economics, Vali-e-Asr University, Rafsanjan, Iran
10.22077/jgdms.2025.8542.1227
Abstract
Introduction
Information evaluation in supply chain integration and the adoption of inter-organizational information systems (IOIS) play a critical role in achieving economic efficiency, risk reduction, enhanced competitiveness, and effective technology investment. The application of digital technologies can significantly contribute to sustainability objectives by reducing carbon emissions, minimizing waste, and conserving natural resources. Technologies such as blockchain, the Internet of Things, and artificial intelligence enable the tracking and monitoring of environmental impacts throughout the supply chain, thereby supporting more informed and sustainable decision-making (Deepu & Ravi, 2021). The transition from traditional supply chains to digital supply chains represents a strategic competitive advantage by creating sustainable value for organizations. Digital supply chains enhance integrity and flexibility through the development of advanced information systems and innovative technologies, leading to improved customer service and overall sustainable organizational performance. Clearly, digital supply chains integrate advanced technologies such as big data analytics and blockchain, adopt a customer-centric perspective, reduce intra- and inter-organizational costs, and generate greater value for organizations (Ageron et al., 2020). Despite these advantages, several challenges exist in analyzing IOIS indicators within the digital green supply chain (DGSC). First, although various indicators are employed to evaluate organizational performance in DGSCs, the lack of consensus on their precise definitions and measurement methods raises concerns regarding their accuracy and reliability. Second, the inability to comprehensively examine all dimensions of DGSCs and their impacts on IOIS indicators may lead to biased or incomplete results. Accordingly, this study aims to identify and analyze the indicators for selecting inter-organizational information systems in the digital green supply chain using the fuzzy DEMATEL method, with a focus on the copper industry.
 
Methodology
The Sarcheshmeh Copper Complex is located approximately 45 km from Rafsanjan City and is recognized as one of the largest mineral industrial complexes in the world, as well as the largest copper producer in Iran. The Sarcheshmeh mine accounts for approximately 32% of Iran’s copper resources and is considered one of the richest copper mines globally.In the first stage, a comprehensive literature review was conducted, and 34 DGSC-related indicators were identified and coded using Atlas.ti software. After evaluating content validity through the content validity ratio (CVR) and incorporating the opinions of academic and industry experts, 29 indicators were finalized. Subsequently, a fuzzy DEMATEL questionnaire was designed and distributed among experts. After data collection, the fuzzy DEMATEL technique was applied to analyze the causal relationships among the selected indicators.
 
Findings
The results indicate that the use of new digital technologies in the supply chain digitalization dimension, speed in the dimension of improving relationships among business partners, reliability in the productivity improvement dimension, and the ability to implement green technologies in the social responsibility dimension are the most influential indicators. Conversely, facilitating virtual business networks in the supply chain digitalization dimension, the level of supply chain members’ access to information in the dimension of improving relationships among business partners, quality in the productivity improvement dimension, and the ability to assess supply chain greenness in the social responsibility dimension were identified as the most affected indicators.
 
Discussion and Conclusion
Based on the research findings, several recommendations are proposed to enhance supply chain performance and mitigate the environmental impacts of certain factors within the copper industry. In addition, the study provides insights that can guide future research directions. The findings and implications of this research offer a foundation for further studies aimed at improving inter-organizational information systems within the context of digital green supply chains.
Keywords
Inter-Organizational Information Systems (IOIS)
Digital Green Supply Chain (DGSC)
Fuzzy DEMATEL
Subjects
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
Andersson, B. E., & Nilsson, P. (1993). How to manage complexity in inter-organizational information systems (IOIS) -some preliminary conclusions. Decision Support in Public Administration. pp. 17-28. https://doi.org/10.1016/B978-0-444-81485-2.50006-X
Asadpour Galougahi, M., Mojaverian, S.M., Eshghi, F. (2013). The impact of green supply chain on environmental and economic performance from the perspective of food retailers in Sari City. Journal of Environmental Science Studies, 8 (2), 6412-6420. DOI: 10.22034/jess.2022.370358.1905. (In Persian). 
Aydiner, A. S., Tatoglu, E., Bayraktar, E., & Zaim, S. (2019). Information system capabilities and firm performance: Opening the black box through decision-making performance and business-process performance. International Journal of Information Management, 47, 168-182. https://doi.org/10.1016/j.ijinfomgt.2018.12.015
Babajani Mohammadi, S. (2023). Organizational innovations on marketing activities with the mediation of organizational culture in recreating urban spaces. Green Development Management Studies, 2(2), 103-123. doi: 10.22077/jgdms.2023.6745.1043. (In Persian).
Büyükӧzkan, G., & Gӧḉer, F. (2018a). Digital Supply Chain: Literature review and a proposed framework for future research. Computers in Industry, 97, 157-177. https://doi.org/10.1016/j.compind.2018.02.010
Chaparro-Peláez, J., Pereira-Rama, A., & Pascual-Miguel, F. J. (2014). Inter-organizational information systems adoption for service innovation in building sector. Journal of Business Research, 67(5), 673-679. https://doi.org/10.1016/j.jbusres.2013.11.026
Claycomb, C., Iyer, K., & Germain, R. (2005). Predicting the level of B2B e-commerce in industrial organizations. Industrial Marketing Management, 34(3), 221-234. https://doi.org/10.1016/j.indmarman.2004.01.009
Cole, R., Stevenson, M., & Aitken, J. (2019). Blockchain technology: implications for operations and supply chain management. Supply chain management, 24(5), 469-483. https://doi.org/10.1108/SCM-09-2018-0309
Criado-Fernández, M. (2000). Caracterización de modelos de cooperación entre organizaciones como base para la obtención de estructuras flexibles y competitivas. (PhD Thesis). Universidad Politécnica de Madrid.
Danesh Shakib, M. and Pishdar, M. (2025). Conceptualizing the challenges of the transition to a digital circular economy relying on the Internet of Things technology in Industry 4.0. Green Development Management Studies, 4(1). doi: 10.22077/jgdms.2024.7493.1116(In Persian).
Davoudi, S.M.R., Yeganegi, H. (2016). Identifying and ranking factors affecting the effectiveness of quality management systems and financial performance of small and medium-sized enterprises using the AHP technique. Case study: Food industries of Tehran province. Commercial Surveys, 14 (81), 101-116. DOI: 20.1001.1.26767562.1395.14.81.7.4. (In Persian). 
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
den Hertog, P. (2000). Knowledge intensive business services as co-producers of innovation. International journal of Innovation Management, 4(4), 491-528. https://doi.org/10.1142/S136391960000024X
Dwivedi, Y.K., Rana, N.P., Chen, H., Williams, M.D., 2011. A meta-analysis of the Unified Theory of Acceptance and Use of Technology. (UTAUT). International Working Conference on Governance and Sustainability in Information Systems, vol. 366, pp. 155–170.
Eom, S. B. (2005), An introduction to inter-organizational information review with selected bibliography. Inter organizational information systems in the internet age. pp. 1-30. 10.4018/978-1-59140-318-0.ch001
Faizi, M., Amouzad Khalili, H., Hosseini, S.M.H. (2021). Investigating the impact of using inter-organizational systems and supply chain management systems on supply chain performance in the printing and packaging industry. Packaging Sciences and Techniques, 12(47). 17-29. DOI: 20.1001.1.22286675.1400.12.47.3.1. (In Persian). 
Farahani P., Meier C., Wilke J. (2017). Digital Supply Chain Management Agenda for the Automotive Supplier Industry. Shaping the Digital Enterprise. Pp 157-172. https://doi.org/10.1007/978-3-319-40967-2_8.
Farahani, T. and Mousavi, S. (2024). The Effect of E-Business on Stable Financial Performance and Sustainable Development with Regard to the Mediating Role of Organizational Innovation. Green Development Management Studies, 3(1), 269-277. doi: 10.22077/jgmd.2023.6388.1031. (In Persian).
Farajpour, F., Hassanzadeh, A., Elahi, S., & Ghazanfari, M. (2022). Digital supply chain blueprint via a systematic literature review. Technological Forecasting and Social Change, 184, 121976. https://doi.org/10.1016/j.techfore.2022.121976
Hartono, E., Li, X., Na, K. S., & Simpson, J. T. (2010). The role of the quality of shared information in interorganizational systems use. International Journal of Information Management, 30(5), 399-407. https://doi.org/10.1016/j.ijinfomgt.2010.02.007
Humphreys, P. K., Lai, M. K., & Sculli, D. (2001). An inter-organizational information system for supply chain management. International Journal of Production Economics, 70(3), 245-255. https://doi.org/10.1016/S0925-5273(00)00070-0
Kaufman, F. (1966). Data systems that cross company boundaries. Harvard Business Review, 44(1), 141-155.‌
Ketikidis PH, Koh SCL, Dimitriadis N, Gunasekaran A, Kehajova M. (2008). The use of information systems for logistics and supply chain management in South East Europe: current status and future direction. Omega, 36(4): 592–599. https://doi.org/10.1016/j.omega.2006.11.010
Kim, K. K., Ryoo, S. Y., & Jung, M. D. (2011). Inter-organizational information systems visibility in buyer–supplier relationships: The case of telecommunication equipment component manufacturing industry. Omega, 39(6), 667-676. https://doi.org/10.1016/j.omega.2011.01.008
Krause, D. R., Handfield, R. B., & Tyler, B. B. (2007). The relationships between supplier development, commitment, social capital accumulation and performance improvement. Journal of operations management, 25(2), 528-545. https://doi.org/10.1016/j.jom.2006.05.007
Ku, E. C. (2022). Developing business process agility: Evidence from inter-organizational information systems of airlines and travel agencies. Journal of Air Transport Management, 103, 102247. https://doi.org/10.1016/j.jairtraman.2022.102247
Lin, C. J. & Wu, W. W. (2008). A causal analytical method for group decision making under fuzzy environment. Expert Systems with Applications, 34, 1, 205-213. https://doi.org/10.1016/j.eswa.2006.08.012
Lu, X. H., Huang, L. H., & Heng, M. S. (2006). Critical success factors of inter-organizational information systems—A case study of Cisco and Xiao Tong in China. Information & management, 43(3), 395-408. https://doi.org/10.1016/j.im.2005.06.007
Mehdipour, P., Safaei Ghadikolaee, A., Fallah Lajimi, H., aghajani, H. (2022). To assess digital supply chain in manufacturing industries (Case study: Bedding industry). Management Research in Iran, 26(1), 139-163. (In Persian).
Mentes, A., Akyildiz, H., & Helvacioglu, I. H. (2014). A grey based DEMATEL technique for risk assessment of cargo ships. In Proceedings of the 2nd International Conference on Maritime Technology, ICMT (pp. 1-6).‌
Min, H., Ahn, S.-B., Lee, H.-S., Park, H., 2017. An integrated terminal operating system for enhancing the efficiency of seaport terminal operators. Marit. Econ. Logist. 19 (3), 428–450
Mousavi, M., Jamali, G., Ghorbanpour, A. (2021). Presenting a model for optimizing a resilient green supply chain network in cement industries. Industrial Management Journal, 13(2). 245 -222. DOI: 10.22059/imj.2021.323226.1007844. (In Persian). 
Najafi, T. (2014). Green Supply Chain Management - Modern Management of the 21st Century. International Conference on Modern Research in Industrial Management and Engineering. https://civilica.com/doc/435218. (In Persian).
Nazari, N., Esmaeilzadeh, M. and Soleymani-Damaneh, R. (2025). Identification and analysis of green supplier development indicators in the petrochemical industry. Green Development Management Studies, 4(1), -. doi: 10.22077/jgdms.2024.7582.1126. (In Persian).
Nemati Shamsabadi, H.A., M, A.A. (2015). Integration of Inter-Organizational Information Systems: Presenting a Model for Understanding the Scope of the Integration Problem. Information Technology Management, 7(3). 675-696. SID. https://sid.ir/paper/140344/fa. (In Persian).
Nozari, H., Fallah, M., Kazemipoor, H., & Najafi, S. E. (2021). Big data analysis of IoT-based supply chain management considering FMCG industries. Business Informatics, 15(1), 78-96. 10.17323/2587-814X.2021.1.78.96
Pant, S., & Hsu, C. (1996). Business on the Web: strategies and economics. Computer Networks and ISDN systems, 28(7-11), 1481-1492. https://doi.org/10.1016/0169-7552(96)00041-4
Philip, G., & Pedersen, P. (1997). Inter-organisational information systems: are organisations in Ireland deriving strategic benefits from EDI? International Journal of Information Management, 17(5), 337-357. https://doi.org/10.1016/S0268-4012(97)00015-7
Quan Z., HuangWeilai., Zhang Y. (2011). Identifying Critical Success Factorsin Emergency Management Using a Fuzzy DEMATEL Method. SafetyScience; 49(2), 243-252. https://doi.org/10.1016/j.ssci.2010.08.005
Radhakrishnan, A., Davis, J. S., Sridharan, S. V., Moore, D. W., & David, D. (2018). The impact of inter-organizational information systems-enabled external integration on capabilities of buyer–supplier dyads. European Management Journal, 36(4), 558-572. https://doi.org/10.1016/j.emj.2017.09.006
Radhakrishnan, A., Sridharan, S. V., David, D. J., Davis, S., & Moore, D. D. (2008). Developing and measuring dimensions of supply chain capabilities. Journal of Academy of Business and Economics, 8(1), 157-165.
Rai, A., Patnayakuni, R., & Seth, N. (2006). Firm performance impacts of digitallyenabled supply chain integration capabilities. MIS Quarterly, 30(2), 225-246. https://doi.org/10.2307/25148729
Rajaguru, R., & Matanda, M. J. (2013). Effects of inter-organizational compatibility on supply chain capabilities: Exploring the mediating role of inter-organizational information systems (IOIS) integration. Industrial marketing management, 42(4), 620-632. https://doi.org/10.1016/j.indmarman.2012.09.002
Sadeghi, Z., Jahanian, S., Shahin, A. (2023). Mapping the Interactive Model of Relationships between Blockchain-Related Variables in the Green Supply Chain: DEMATEL-ISM Approach. Industrial Management Journal, 15(2). 244-271. DOI: 10.22059/IMJ.2023.350889.1008001. (In Persian). 
Salimi Zawieh, S.G., Shams, S. (2021). Analysis of Digital Supply Chain Management (Future Development Trend). Iranian Rubber Magazin, 25(102). 49-62. DOI:10.22034/IRM.2021.136713. (In Persian). 
Sayadi-Turanloo, H., Hafizi-Atabak, R. (2021). The relationship between green supply chain integration and sustainable performance in Yazd health service centers. Health Information Management, 18 (5). 188 -196. DOI: 10.22122/him.v18i1.4394. (In Persian). 
Shakouri, S., Khamseh, A. and radfra, R. (2023). Providing a sustainable innovation development model in information technology startups Based on Grounded Theory Approach. Green Development Management Studies, 2(2), 25-40. doi: 10.22077/jgdms.2024.7127.1062. (In Persian).
Steven, J., (1989). Integrating the supply chain. International Journal of Physical Distribution and Materials Management 19 (8). https://doi.org/10.1108/EUM0000000000329
Suomi, R. (1988). Inter-organizational information systems as company resources. Information & Management, 15(2), 105-112. https://doi.org/10.1016/0378-7206(88)90041-9
Suomi, R. (1992). On the concept of inter-organizational information systems. The Journal of Strategic Information Systems, 1(2), 93-100. https://doi.org/10.1016/0963-8687(92)90006-I
Suomi, R. (1994). What to take into account when building an inter-organizational information system. Information processing & management, 30(1), 151-159. https://doi.org/10.1016/0306-4573(94)90030-2
Vairetti, C., González-Ramírez, R. G., Maldonado, S., Álvarez, C., & Voβ, S. (2019). Facilitating conditions for successful adoption of inter-organizational information systems in seaports. Transportation Research Part A: Policy and Practice, 130, 333-350. https://doi.org/10.1016/j.tra.2019.09.017
Vickery, S. K., Jayaram, J., Droge, C., & Calantone, R. (2003). The effects of an integrative supply chain strategy on customer service and financial performance: an analysis of direct versus indirect relationships. Journal of operations management, 21(5), 523-539. https://doi.org/10.1016/j.jom.2003.02.002
Vijayasarathy, L. R. (2010). An investigation of moderators of the link between technology use in the supply chain and supply chain performance. Information & Management, 47(7e8), 364e371. https://doi.org/10.1016/j.im.2010.08.004
Waarts, E., van Everdingen, Y. M., & Van Hillegersberg, J. (2002). The dynamics of factors affecting the adoption of innovations. Journal of Product Innovation Management, 19(6), 412-423.‌https://doi.org/10.1111/1540-5885.1960412
Wang, E. T. G., & Wei, H. L. (2007). Inter-organizational governance value creation: Coordinating for information visibility and flexibility in supply chain. Decision Sciences, 38(4), 647e674.https://doi.org/10.1111/j.1540-5915.2007.00173.x
Weber, M.M, & Prasad Kantamneni, S. (2002). POS and EDI in retailing: an examination of underlying benefits and barriers. Supply Chain Management, 7(5), 311-317. https://doi.org/10.1108/13598540210447755
Weill, P., & Vitale, M. (2002). What IT infrastructure capabilities are needed to implement e-business models? Mis Quarterly, 1(1), 17.‌
Wong, Y. H., Chan, R., Ngai, E. W. T. & Oswald, P. (2009). Is customer loyalty vulnerability-based? An empirical study of a Chinese capital-intensive manufacturing industry, Industrial Marketing Management 38(1): 83– 93. https://doi.org/10.1016/j.indmarman.2007.10.002
Wu, L., Yue, X., Jin, A., & Yen, D. C. (2016). Smart supply chain management: a review and implications for future research. Logistics management, 27(2), 1-33. https://doi.org/10.1108/IJLM-02-2014-0035
Green Development Management Studies
Volume 4, Issue 4 - Serial Number 10
Autumn 2025
Pages 127-156

  • Receive Date 12 December 2024
  • Revise Date 29 January 2025
  • Accept Date 09 March 2025