A Model for Identification of Factors Affecting Services Intelligent Supply Chains: A Meta-Synthesis Approach
Subject Areas : Business StrategySeyed Mohammad Rahchamani 1 , Seyed Heydariyeh 2 , Seyed Mohammad Zargar 3
1 - PhD student in marketing management, Semnan branch. Islamic Azad University, Semnan, Iran
2 - Assistant Professor, Department of Management, Semnan Branch, Islamic Azad University, Semnan, Iran
3 - Assistant Professor, Industrial Management Department, Semnan Branch, Islamic Azad University, Semnan, Iran
Keywords: Intelligent Supply Chain, Meta-Synthesis Approach, services,
Abstract :
Intelligence is an essential factor in supply chain. It prepares the ground for effective and timely communication and facilitates information sharing among supply chain components in both production and service sectors. Hence, the present study seeks to identify the components of services intelligent supply chain and categorize them as a comprehensive model by using the meta-synthesis approach. In this research, total of 437 articles in the field of services intelligent supply chain was identified and examined at first step. Articles were in the period of 1980 to 2022. Finally, after evaluation of articles, 53 articles remained. Then, based on the process of the meta-synthesis and the use of coding method, four main fields and a number of sub-fields were found for the services intelligent supply chain variable. Initial codes introduced in the software for conceptualization and categorization. The main fields of services intelligent supply chain included intelligence dimensions, intelligence conditions, intelligence strategies and intelligence consequences. Each of these main fields has a number of sub-fields. The result of the study shows that in order to implement the services intelligent supply chain, several dimensions and components are considered, concepts such as real-time online information flow, intelligent fund flow, intelligent services flow, process management and technology infrastructure play an important role. Suggestions are presented in accordance with the comprehensive model identified. Also, the conceptual model designed can be useful as a basis for future research in the direction of practical manual in the effective use of the services intelligent supply chain.
Abbasi, M., & Varga, A. (2021). Steering supply chains from a complex systems perspective. European Journal of Management Studies. doi:10.1108/EJMS-04-2021-0030
Abdul-basset, m., Monogaran, G., & Mohamed, M. (2018). Internet of things(IOT) and its impact on supply chain: A framework for building smart, secure and efficient systems. Future generation computer systems, 1-15. doi:10.1016/j.future.2018.04.051
Aghaee, A., Salehi Sedghiani, J., Ghorbani zadeh, V., & Mikaeeli, F. (2015). Designing the pattern of lean supply chain using structural equation technique. Industrial Management Studies, 13(36), 95-113. )in persian) Retrieved from https://jims.atu.ac.ir/article_1122.html?lang=en
Ajali, M., Mozaffari, M., & Asghari Sarem, A. (2018). Prioritization of key factors in the use of information technology in humanitarian supply chain management with SWARA technique. Logistics Thought Scientific Publication, 17(64), 87-102. )in persian) Retrieved from http://lot.jrl.police.ir/article_19098.html?lang=en
Ashori, M., & Tarokh, M. (2012). The Intelligent Web: Tools for Tacit Knowledge Production and Sharing. Supply Chain Manegement, 14(37), 60-69. )in persian) Retrieved from https://scmj.ihu.ac.ir/article_203491.html?lang=en
Azar, A., Ali mohammadlo, M., Moghbel ba arz, A., & Ahmadi, P. (2012). Framework for Measurement of Quality of Service in Supply Chains. Industerial Manegement Perspective, 2(2), 9-24. )in persian) Retrieved from https://jimp.sbu.ac.ir/article_87341.html?lang=en
Bani fazel, s., Babaee zakliki, m., & hosein zadeh shahri, m. (2021). Presenting a pattern for agile supply chain by meta synthesis approach. Modern Researches in Desicion Marketing, 6(2), 156-179. )in persian) doi:20.1001.1.24766291.1400.6.2.7.7
Chen, L., Lu, Y., & Zhao, R. (2019). Analysis and application of modern supply chain system in China. Modern Supply Chain Research and Applications, 1(2), 109-119. doi:10.1108/MSCRA-01-2019-0004
Dalvi Esfahani, M., Gorbani, H., & Bagheri GalehSalimi, M. (2014). The Study of Effect Marketing Strategies Alignment on Supply Chain and Organizational Performance (Case: Entekhab Industrial Group). Marketing management, 9(23), 95-110. )in persian) Retrieved from https://jomm.srbiau.ac.ir/article_2894.html?lang=en
Dehghani podeh, H., & Pashaee holaso, A. (2017). Provide an interpretive structural model for achieving supply chain quality management in knowledge-based defense companies. Quarterly Journal of Interdisciplinary Studies on Strategic Knowledge, 27(27), 7-36. )in persian) Retrieved from https://smsnds.sndu.ac.ir/article_8.html
Dezfoulian, H., & Samouei, P. (2019). The optimal network design for knowledge sharing in a supply chain for horizontal integration. Journal of Business Administration Researches, 11(22), 101-128. )in persian) doi: 20.1001.1.2645386.1398.11.22.5.7
Doan, K., Carrino, S., Ivanova, N. V., & Evtodieva, T. E. (2021). Digital Economy and Intelligent Supply Chain Management: International Experience. Current Achievements, Challenges and Digital Chances of Knowledge Based Economy, 133, 743-751. doi:10.1007/978-3-030-47458-4_86
Ehsani, A., & Mehrmanesh, H. (2020). A conceptual Model for Evaluation the Impact Factors Affecting Organizational Performance in Supply Chain. Journal of System Management, 6(4), 269-294. doi:10.30495/jsm.2021.1919526.1425
Farsijani, H., & Fallah Hoseini, A. (2012). Identify and prioritize the effective factors in achieving world-class supply chain management and provide appropriate solutions. Industerial manegement Perspective, 2(2), 25-44. )in persian) Retrieved from https://jimp.sbu.ac.ir/article_87342.html?lang=en
Garay-Rondero, C. L., Martinez-Flores, J. L., Smith, N. R., Caballero Morales, S. O., & Aldrette-Malacara, A. (2020). Digital supply chain model in Industry 4.0. Journal of Manufacturing Technology Management, 31(5), 887-933. doi:10.1108/JMTM-08-2018-0280
Ghadimi, p., wang, c., lim, m. K., & heavy, c. (2018). Intelligent sustainable supplier selection using multi-agent technology: theory. Computers & Industrial Engineering, 127, 588-600. doi:10.1016/j.cie.2018.10.050
Ghahremani Nahr, J., Nozari, H., & Sadeghi, M. (2021). Green supply chain based on artificial intelligence of things (AIoT). International Journal of Innovation in Management, Economics and Social Sciences, 1(2), 56-63. doi:10.52547/ijimes.1.2.56
Ghasemieh, R., & Saeedi, F. (2013). Business Process Reengineering: A Review on Important Methods and Recent Models. Supply chain management, 14(38), 44-53. )in persian) Retrieved from https://scmj.ihu.ac.ir/article_203496.html?lang=en
Ghazi zadeh, M., Safari, S., Noroz zadeh, F., & Heydari, G. (2016). Integration of supply chain management approaches in the form of LARG supply chain using Multi Attribute Decision Making Techniques in Saipa company. Journal of Executive Management, 7(14), 113-134. )in persian) Retrieved from http://jem.journals.umz.ac.ir/article_1174.html?lang=en
Gheysari, M., Taj far, A., Vahdat, D., & Hoseini, S. (2013). Applying Internet of Thing Technology in Supply Chain Management Based on Cloud Computing. Supply chain management, 15(42), 26-41. )in persian) Retrieved from https://scmj.ihu.ac.ir/article_203519.html?lang=en
Gohil, D., & Thakker, S. V. (2021). Blockchain-integrated technologies for solving supply chain challenges. Modern Supply Chain Research and Applications, 3(2), 78-97. doi:10.1108/MSCRA-10-2020-0028
Gunasekaran, a., subramanian, n., & rahman, s. (2017). Improving supply chain performance through management capabilities. Production Planning & Control The Management of Operations, 28(8), 473-477. doi:10.1080/09537287.2017.1309680
Hajipour, V., & Rahbarjo, M. (2020). Cloud Computing-Based Supply Chain Network Design. Journal of Industrial Engineering Research in Production Systems, 7(14), 127-145. )in persian) doi:10.22084/ier.2019.16231.1763
Hamidi, H. (2015). Provide a structure for multifunctional systems in electronic health supply chain management. 17(50), 22-39. )in persian) Retrieved from https://scmj.ihu.ac.ir/article_203577.html
Iranban, S. (2019). The Effect of Supply Chain Integration on Operational Efficiency and Value Creation. Journal of System Management, 5(2), 107-132. Retrieved from https://sjsm.shiraz.iau.ir/article_664754.html
Israel, e. f., albert, a., frazzon, e. m., & hellingrath, b. (2017). operational supply chain planning method for integrating spare parts supply chains and intelligent maintenance systems. science direct, 50(1), 12428-12433. doi:10.1016/j.ifacol.2017.08.2432
Jafar nezhad, A., Mohseni, M., & Abdullahi, A. (2014). Proposing a Hybrid Fuzzy PROMETHEE - AHP Approach to Performance Evaluation of Service Supply Chain (Case Study: Hotel industry). Industerial manegement Perspective, 4(2), 69-92. )in persian) Retrieved from https://jimp.sbu.ac.ir/article_87286.html?lang=en
Jamali, G., & Fallah, M. (2017). Agility of the Supply Chain in the Businesses that Technically Support the Iranian Oil and Petrochemical Industries. Journal of Business Administration Researches, 9(17), 31-53. )in persian) doi:10.29252/bar.9.17.31
Jia, j., chen, s., & li, z. (2019). dynamic pricing and time-to-market strategy in a service supply chain with. computers&industrial engineering, 127, 901-913. doi:10.1016/j.cie.2018.11.032
Kord, B., & Jamshidi, M. (2016). Supply Chain Management. Zahedan: Sistan and Balochestan. )in persian)
Liu, W., Wang, D., Long, S., Shen, X., & Shi, V. (2019). Services supply chain management: a behavioral operations perspective. Modern Supply Chain Research and Application, 1(1), 28-53. doi:10.1108/MSCRA-01-2019-0003
Ma, H. L., Wang, Z. X., & Chan, F. T. (2020). How important are supply chain collaborative factors in supply chain finance? A view of financial service providers in China. International Journal of Production Economics(219), 341-346. doi:10.1016/j.ijpe.2019.07.002
Markolaee, S. (2016). Supply chain Intelligence, Next Generation of Supply chain. First International Conference on Business and Organizational Intelligence 2016. Tehran: Shahid beheshti University. )in persian) Retrieved from https://civilica.com/doc/499971/
Marmolejo-Saucedo, J. A., & Hartmann, S. (2020). Trends in digitization of the supply chain: A brief literature review. EAI Endorsed Transactions on Energy Web, 7(29), 1-7. doi:10.4108/eai.13-7-2018.164113
Mason, r., & lalwani, c. (2006). Transport integration tools for supply chain management. International Journal of Logistics: Research and applications, 9(1), 57-74. doi:10.1080/13675560500534599
Masoumik, S., Abdul-rashid, S. H., Olugu, E. U., & Ghazilla, R. A. (2014). Sustainable supply chain design: a configurational approach. The scientific word journal, 1-16. doi:10.1155/2014/897121
Mehra, A., & Nissen, M. (1998). intelligent supply chain agents using ADE. Proceedings of the Artificial Intelligence and Manufacturing Workshop, 112-119. Retrieved from https://www.aaai.org/Papers/SIGMAN/1998/SIGMAN98-016.pdf
Melnyk, s. A., narasimhan, r., & decampos, h. A. (2014). Supply chain design: issues, challenges. International Journal of Production Research, 52(7), 1887-1896. doi:10.1080/00207543.2013.787175
Mir ghafori, S., & Baharestan, O. (2016). Investigating the Impact of Information Technology and Knowledge Management on Supply Chain Agility. Supply chain management, 18(52), 45-59. )in persian) Retrieved from https://scmj.ihu.ac.ir/article_203594.html
Mohaghghar, A., & Abbasi, H. (2019). Designing and Explaining the Sustainability Model for Banking Supply Chain (A Case Study of Mellat Bank). Management Researches in Iran, 23(3), 53-73. )in persian) Retrieved from https://mri.modares.ac.ir/article_502.html?lang=en
Mohammadi, G., Sajjadi, S., & Sakhdari, K. (2019). Entrepreneurial Decision-Making Model: A Meta-Synthesis Approach. Industrial management perspective, 9(3), 87-108. )in persian) doi:10.52547/jimp.9.3.87
Mortazavi, A., Arshadi Khamseh, A., & Azimi, P. (2015). Designing of an intelligent self-adaptive model for supply chain ordering management system. Engineering Applications of Artificial Intelligence, 37, 207-220. doi:10.1016/j.engappai.2014.09.004
Mostaghimi, M., Ramezanian, M., & Esmaeel Zadeh, M. (2015). Identifying and prioritizing measures for evaluating the performance of services supply chain. Industerial Manegement Journal, 7(1), 151-174. )in persian) doi:10.22059/imj.2015.52515
Nakhaei, I., & Saei, a. (2009). Simulation of the Impact of E-global Supply Chain Including Customs, to Enhance the Level of Customers Satisfaction of Electronic Products by Means of Rosettanet. Iranian journal of trade studies, 13(52), 163-185. )in persian) Retrieved from http://pajooheshnameh.itsr.ir/article_13784.html?lang=en
Naseri, Z., Norozi, A., Fahim nia, F., & Manian, A. (2017). Content Marketing: Identifying the basic components and dimensions in order to provide a conceptual model. Theoretical and applied research in information science and epistemology, 7(1), 280-303. )in persian) doi:10.22067/44681
Ngai, E. W., Peng, S., alexander, p., & moon, k. K. (2014). Decision support and intelligent systems in the textile and apparel supply chain: an academic review of research articles. Expert Systems with Applications, 41(1), 81-91. doi:10.1016/j.eswa.2013.07.013
NiliporTabatabaei, A., Khayyambashi, B., Karbasian, M., & Shariati, M. (2012). Optimizing the Usage of Information Technology in Supply Chain Management and Marketing of Aviation Products by AHP Approach. New Marketing Research Journal, 2(2), 143-164. )in persian) Retrieved from https://nmrj.ui.ac.ir/article_17597.html?lang=en
Oh, J., & Jeong, B. (2019). Tactical supply planning in smart manufacturing supply chain. Robotics and Computer Integrated Manufacturing, 55, 217-233. doi:10.1016/j.rcim.2018.04.003
Prause, G. (2019). Smart Contracts for Smart Supply Chains. ScienceDirect, 52(13), 2501-2506. doi:10.1016/j.ifacol.2019.11.582
Qiu, L., Zhao, Y., Liu, Q., Sun, B., & Wu, X. (2019). Intelligent transaction: definition, modes, and research directions. International Journal of Crowd Science, 36-48. doi:10.1108/IJCS-08-2018-0017
Rabieh, M., Azar, A., Modarres Yazdi, M., & Fetanat Fard Haghighi, M. (2011). Designing a Multi-Objective Resource-Based Mathematical Modeling: An Approach to Supply Chain Risk Reduction (Case Study: Iran Khodro Supply Chain). Industrial Management Perspective, 1(1), 57-77. )in persian) Retrieved from https://jimp.sbu.ac.ir/article_87378.html?lang=en
Rahimi, f., baghalinejad shooshtari, M. h., & nadaf, m. (2022). Designing a Business Intelligence Model Using Grounded Theory Approach. Quarterly Journal of BI Management Studies, 9(34), 247-272. )in persian) doi:10.22054/IMS.2020.53545.1760
Rahimian, M., Namamian, F., Maroofi, F., & Moradi, A. (2019). Identifying and Ranking the Components and Dimensions of E-Commerce Using the Meta-Synthesis Approach. Journal of System Management, 5(3), 159-178. doi:20.1001.1.23222301.2019.5.3.10.5
Rajab zadeh, A., Hasan zadeh, A., Nalchigar, N., & Nalchigar, S. (2010). Proposing a Model to present Factors which Affect e-SCM Risk and their Impacts on Organizational Performance. Journal of Information Technology Management, 2(4), 59-78. )in persian) Retrieved from https://jitm.ut.ac.ir/article_20910.html
Ramak, m. (2012). Provide a model to improve the quality level of supply chain management. Supply chain management, 16(36), 38-49. )in persian) Retrieved from https://scmj.ihu.ac.ir/issue_2200729_2200731.html?lang=en
Regal, t., & pereira, c. e. (2018). Ontology for Conceptual Modelling of Intelligent Maintenance Systems and Spare parts supply chain integration. sciencedirect, 51(11), 1511-1516. doi:10.1016/j.ifacol.2018.08.285
Rezaee Pendari, A., Azar, A., Taghavi, A., & Moghbel ba arz, A. (2015). Provide a model for evaluating the performance of the service supply chain with fuzzy cognitive maps approach(case study: insurance industry). The Journal of Industerial management perspective, 16, 75-93. )in persian) Retrieved from https://jimp.sbu.ac.ir/article_87272.html?lang=en
Rezaei Pendari, A., & Azar, A. (2016). Designing Service Supply Chains Management Model by Grounded Theory. Public management Researches, 11(39), 5-32. )in persian) doi:10.22111/jmr.2018.4009
Rymarczyk, J. (2020). Technologies, Opportunities and Challenges of the Industrial Revolution 4.0: Theoretical Considerations. Entrepreneurial Business and Economics Review, 8(1), 185-198. doi:10.15678/EBER.2020.080110
Sadat hasani, E. (2007). An Analysis of the Virtual Supply Chain in E-Commerce. Commercial Surveys(24), 109-114. )in persian) Retrieved from http://ensani.ir/fa/article/journal-number/14602/
Saee Arasi, A., Ziapour Sahi, A., & Khosravi, M. (2019, October 17). Investigating intelligent supply chain management in the context of e-government. )in persian) Retrieved from systemyar: https://systemyar.com
Salimi zaviyeh, S. (2018). Investigating the relationship between cyber supply chain management risks and electronic supply chain management risks by confirmatory factor analysis and structural equation modeling (Case study: Daru Pakhsh Company). Supply chain Management, 19(57), 62-75. )in persian) Retrieved from https://scmj.ihu.ac.ir/article_204678.html?lang=en
Sargazi moghaddam, h., & Shahsavari, M. (2016). An overview of the role of intelligent software agents in supply chain management. Supply chain management, 18(53), 14-26. )in persian) Retrieved from https://scmj.ihu.ac.ir/article_203599.html
Sedighpour, A., Zandieh, M., Alem Tabriz, A., & dori, b. (2019). Resilient Supply Chain Model in Iran Pharmaceutical Industries. Industrial Management Studies, 16(51), 55-106. )in persian) doi:10.22054/jims.2018.28335.1960
Sunhare, P., Chowdhary, R. R., & Chattopadhyay, M. K. (2022). Internet of things and data mining: An application oriented survey. Journal of King Saud University –Computer and Information Sciences, 34, 3569-3590. doi:10.1016/j.jksuci.2020.07.002
Tayyaran, S., Toloie-Eshlaghy, A., Radfar, R., & Purebrahimi, A. (2019). Agent-Based Model Developed to Assess Supply Chain Agility (Case Study: Institute of Higher Education, Science and Research Branch of Tehran). Journal of System Management, 5(1), 1-18. doi:20.1001.1.23222301.2019.5.1.1.2
Teymori, E. (2002). Introduction to Supply Chain Management. Iranian Journal of Logistics & Supply Chain, 3(10), 1-11. )in persian) Retrieved from https://scmj.ihu.ac.ir/article_203451.html
Tizro, A. (2014). Modeling Agility of Supply Chain. Supply chain management, 15(42), 4-17. )in persian) Retrieved from https://scmj.ihu.ac.ir/article_203517.html?lang=en
Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021). Artificial intelligence in supply chain management: A systematic literature review. Journal of Business Research, 122, 502-517. doi:10.1016/j.jbusres.2020.09.009
Tsiulin, S., Reinau, K. H., Hilmola, O. P., Goryaev, N., & Karma, A. (2020). Blockchain-based applications in shipping and port management: a literature review toward defining key conceptual frameworks. Review of International Bussiness, 30(2), 201-224. doi:10.1108/RIBS-04-2019-0051
Veysi, H. (2004). Supply chain modeling by simulation. Iranian Journal of Logistics & Supply Chain, 6(20), 1-5. )in persian) Retrieved from http://logiscm.ir/journal/archive/
Xie, P., Chen, Q., Qu, P., Fan, J., & Tang, Z. (2020). Research on financial platform of railway freight supply chain based on blockchain. Smart and Resilient Transportation, 2(2), 69-84. doi:10.1108/SRT-09-2020-0007
Yan, J., Xin, S., Liu, Q., Xu, W., Yang, L., Fan, L., . . . Wang, Q. (2014). Intelligent Supply Chain Integration and Management Based on Cloud of Things. International Journal of Distributed Sensor Networks, 10(3), 1-15. doi:10.1155/2014/624839
Zhong, R., Xu, X., & Wang, L. (2017). Food supply chain management: systems, implementations, and future research. Industrial Management & Data Systems, 117(9), 2085-2114. doi:10.1108/IMDS-09-2016-0391
Zhou, Y., & Xu, X. (2019). Intelligent Supply Chain Information System Based on Internet of Things Technology under Asymmetric Information. symmetry, 11(5), 1-17. doi:10.3390/sym11050656
Zubair khan, m., al-mushayt, o., alam, j., & ahmad, j. (2010). intelligent supply chain management. Journal of Software Engineering and Applications, 3(4), 404-408. doi:10.4236/jsea.2010.34045