مدل‌سازی ساختاری بر مبنای یکپارچگی زنجیره‌تأمین دررابطه با ریسک زنجیره‌تأمین، کیفیت و قابلیت نوآوری محصول
محورهای موضوعی : مدیریت صنعتی
ابولفضل کزازی
1
,
امیر محمد خانی
2
1 - استادگروه مدیریت صنعتی، دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران، ایران.
2 - کارشناسی ارشد گروه مدیریت صنعتی، گرایش کیفیت و بهره‌وری، دانشگاه علامه طباطبائی، تهران، ایران.
کلید واژه: قابلیت نوآوری محصول, کیفیت محصول, یکپارچگی زنجیره‌تأمین, ریسک زنجیره‌تأمین, عدم‌قطعیت,
چکیده مقاله :
این مطالعه باهدف بررسی ویژگی‌های منحصربه‌فرد زنجیرۀ‌‌تأمین محصولات غذایی، به بررسی تأثیر یکپارچه‌سازی زنجیرۀ‌‌تأمین محصولات غذایی؛ متشکل از یکپارچگی داخلی، تأمین‌کننده و مشتری، به کیفیت محصولات غذایی و قابلیت نوآوری محصول می‌پردازد. مدیران باید اهمیت یکپارچه‌سازی تأمین‌کننده و مشتری را -هنگام پاسخ به ریسک زنجیرۀ‌‌تأمین و عدم‌قطعیت شرکت- درک کنند. داده‌ها از ۱۶۸ مدیر فعال در صنایع‌غذایی استان تهران جمع‌آوری شده است. برای تحلیل داده‌ها از ابزار حداقل مربعات جزئی (SmartPLS 3.0) -با استفاده از تکنیک مدل‌سازی معادلات ساختاری (SEM)- استفاده شد. نتایج نشان می‌دهد که یک رابطۀ قوی بین عدم‌قطعیت و ادغام زنجیرۀ‌‌تأمین؛ شامل مشتری، تأمین‌کننده و ادغام داخلی وجود دارد. یافته‌ها نشان می‌دهد که یکپارچه‌سازی مشتری و یکپارچه‌سازی تأمین‌کننده، عوامل حیاتی برای بهبود کیفیت محصول -در زمینۀ زنجیرۀ‌‌تأمین محصولات‌غذایی- هستند؛ نتایج را می‌توان به نقش برجستۀ روابط و تماس با مشتری در توسعۀ قابلیت‌های نوآوری در محصولات تولیدی- که توسط برخی تحقیقات قبلی در نظر گرفته شده است- مرتبط دانست. علاوه بر این، با تجزیه‌و تحلیل ابعاد مختلف یکپارچه‌سازی زنجیرۀ‌‌تأمین به‌طور جداگانه، یکپارچگی داخلی- به‌عنوان یک توانمندی برای یکپارچگی خارجی- شناخته شده است. این مطالعه می‌تواند به کسب و کارهای فعال در حوزه صنایع‌غذایی کمک کند تا نقش‌های ارزش‌آفرینی یکپارچه‌سازی زنجیرۀ‌‌تأمین محصولات صنایع‌غذایی را درک کنند و راهنمایی‌های ارزشمندی را برای آنها ارائه دهد تا تصمیم بگیرند چگونه به چالش‌های مختلف پاسخ دهند و یکپارچه‌سازی زنجیرۀ‌‌تأمین محصولات غذایی را -به‌منظور بهبود کیفیت محصول و بهبود قابلیت‌های نوآوری محصول- مدیریت کنند.
This study aims to investigate the unique features of the food supply chain, examining the impact of food supply chain integration, consisting of internal integration, supplier and customer, the quality of food products and product innovation capability. Managers need to understand the importance of supplier and customer integration when responding to supply chain risk and company uncertainty. The data were collected from 168 managers active in the food industry in Tehran province. The partial least squares tool (SmartPLS 3.0) was used to analyze the data using Structural Equation Modeling (SEM) technique. The results show that there is a strong relationship between uncertainty and supply chain integration including customer, supplier and internal integration. The findings indicate that customer integration and supplier integration are critical factors in improving product quality in the food supply chain. The results can be related to the prominent role of customer relations and contact in the development of innovation capabilities in manufactured products, which has also been approved by some previous studies. Additionally, analyzing the various dimensions of supply chain integration separately revealed that internal integration is a capability factor for external integration. This study can help businesses in the food industry understand the value-creating roles of food supply chain integration and provide valuable guidance for them to decide how to meet the various challenges and manage food supply chain integration in order to improve product quality and product innovation capability.
Adebanjo, D., Teh, P. L., & Ahmed, P. K. (2018). The impact of supply chain relationships and integration on innovative capabilities and manufacturing performance: the perspective of rapidly developing countries. International journal of production research, 56(4), 1708-1721. doi:10.1080/00207543. 2017.1366083
Afshan, N., Mandal, P., Gunasekaran, A., & Motwani, J. (2021). Mediating role of immediate performance outcomes between supply chain integration and firm performance. Asia Pacific Journal of Marketing and Logistics, 34(4), 669-687. doi:10.1108/APJML-11-2020-0841
Alzoubi, H. M., Elrehail, H., Hanaysha, J. R., Al-Gasaymeh, A., & Al-Adaileh, R. (2022). The Role of Supply Chain Integration and Agile Practices in Improving Lead Time During the COVID-19 Crisis. International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 13(1), 1-11.doi:10.4018/IJSSMET.290348
Ataseven, C., & Nair, A. (2017). Assessment of supply chain integration and performance relationships: A meta-analytic investigation of the literature. International journal of production economics, 185, 252-265.doi:10.1016/j.ijpe.2017.01.007
Bae, H. S., Grant, D. B., Banomyong, R., & Varadejsatitwong, P. (2021). Investigating the impact of the strength of supply chain integration on cost and responsiveness. International Journal of Logistics Research and Applications, 26(1), 58-76.doi:10.1080/13675567.2021.1931827
Birasnav, M., & Bienstock, J. (2019). Supply chain integration, advanced manufacturing technology, and strategic leadership: An empirical study. Computers & Industrial Engineering, 130, 142-157.doi:10.1016/j. cie.2019.01.021
Braunscheidel, M. J., & Suresh, N. C. (2009). The organizational antecedents of a firm’s supply chain agility for risk mitigation and response. Journal of operations Management, 27(2), 119-140.doi:10.1016/j.jom.2008.09.006
Bustinza, O. F., Vendrell-Herrero, F., Gomes, E., Lafuente, E., Opazo-Basáez, M., Rabetino, R., & Vaillant, Y. (2018). Product-service innovation and performance: unveiling the complexities. International journal of business environment, 10(2), 95-111.doi:10.1504/IJBE.2018.095819
Can Saglam, Y., Yildiz Çankaya, S., & Sezen, B. (2021). Proactive risk mitigation strategies and supply chain risk management performance: an empirical analysis for manufacturing firms in Turkey. Journal of Manufacturing Technology Management, 32(6), 1224-1244. doi:10.1108/JMTM-08-2019-0299
Cenamor, J., Parida, V., & Wincent, J. (2019). How entrepreneurial SMEs compete through digital platforms: The roles of digital platform capability, network capability and ambidexterity. Journal of Business Research, 100, 196-206.doi:10.1016/j.jbusres.2019.03.035
Chang, H. H., Wong, K. H., & Chiu, W. S. (2019). The effects of business systems leveraging on supply chain performance: Process innovation and uncertainty as moderators. Information & Management, 56(6), 103140.doi:10.1016/j.im.2019.01.002
Chaudhuri, A., Boer, H., & Taran, Y. (2018). Supply chain integration, risk management and manufacturing flexibility. International Journal of Operations & Production Management, 38(3), 690–712. doi:10.1108/ijopm-08-2015-0508
Chen, I. J., & Paulraj, A. (2004). Towards a theory of supply chain management: the constructs and measurements. Journal of Operations Management, 22(2), 119–150. doi:10.1016/j.jom.2003.12.007
Chen, Z., Ming, X., Zhou, T., & Chang, Y. (2020). Sustainable supplier selection for smart supply chain considering internal and external uncertainty: An integrated rough-fuzzy approach. Applied Soft Computing, 87, 106004.doi:10.1016/j.asoc.2019.106004
Cheng, Y., Chaudhuri, A., & Farooq, S. (2016). Interplant coordination, supply chain integration, and operational performance of a plant in a manufacturing network: a mediation analysis. Supply Chain Management: An International Journal, 21(5), 550-568. doi:10.1108/SCM-10-2015-0391
Crozet, M., & Milet, E. (2017). Should everybody be in services? The effect of servitization on manufacturing firm performance. Journal of Economics & Management Strategy, 26(4), 820-841.doi:10.1111/jems.12211
Feng, M., Yu, W., Chavez, R., Mangan, J., & Zhang, X. (2017). Guanxi and operational performance:the mediating role of supply chain integration. Industrial Management & Data Systems, 117(8), 1650-1668. doi:10.1108/IMDS-06-2016-0198
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. https://www.jstor.org/stable/3151312
Galbraith, J. R. (1974). Organization design: An information processing view. Interfaces, 4(3), 28-36.doi:10.1287/inte.4.3.28
Ganbold, O., Matsui, Y., & Rotaru, K. (2020). Effect of information technology-enabled supply chain integration on firm's operational performance. Journal of Enterprise Information Management, 34(3), 948-989. doi:10.1108/JEIM-10-2019-0332
Güngör, A., & Aksoy, H. (2021). The Effect of Organizational Culture on Supply Chain Integration and the Mediating Role of Environmental Uncertainty. International Journal of Business and Economic Studies, 3(2), 183-192. doi:10.54821/uiecd.980619
Hair Jr., J.F., Sarstedt, M., Ringle, C.M., Gudergan, S.P., 2018. Advanced Issues in Partial Least Squares Structural Equation Modeling. Sage Publications, 1-256. doi:10.3926/oss.37
Hendijani, R., & Saeidi Saei, R. (2020). The Impact of Supply Chain Integration and Demand Uncertainty on Firm Performance. Industrial Management Studies, 18(59), 1-45. [In Persian]. doi:10.22054/jims.2021.45200.2360
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial management & data systems, 116(1), 2-20. doi:10.1108/IMDS-09-2015-0382
Huo, B., Ye, Y., Zhao, X., & Zhu, K. (2019). Supply chain quality integration: A taxonomy perspective. International Journal of Production Economics, 207, 236-246.doi:10.1016/j.ijpe.2016.05.004
Huo, B., Zhao, X., & Lai, F. (2014). Supply chain quality Integration: Antecedents and consequences. IEEE Transactions on Engineering Management, 61(1), 38–51. doi:10.1109/tem.2013.2278543
Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136, 101922.doi:10.1016/j.tre.2020.101922
Jia, F., Blome, C., Sun, H., Yang, Y., & Zhi, B. (2020). Towards an integrated conceptual framework of supply chain finance: An information processing perspective. International Journal of Production Economics, 219, 18-30.doi:10.1016/j.ijpe.2019.05.013
Kalyar, M. N., Shafique, I., & Ahmad, B. (2019). Effect of innovativeness on supply chain integration and performance: Investigating the moderating role of environmental uncertainty. International Journal of Emerging Markets, 15(2), pages 362-386. doi:10.1108/IJOEM-09-2018-0486
Kauppi, K., Longoni, A., Caniato, F., & Kuula, M. (2016). Managing country disruption risks and improving operational performance: risk management along integrated supply chains. International Journal of Production Economics, 182, 484-495.doi:10.1016/j.ijpe.2016.10.006
Kazai, A., khani, A. M., & birami, S. (2021). The effect of supply chain quality management and innovation performance on the operational performance of businesses operating in the food industry of Golestan province. Industrial Management Studies, 19(62), 67-98. [In Persian]. doi:10.22054/jims.2021.58750.2612
Kendall, H., Kaptan, G., Stewart, G., Grainger, M., Kuznesof, S., Naughton, P., ... & Frewer, L. J. (2018). Drivers of existing and emerging food safety risks: Expert opinion regarding multiple impacts. Food Control, 90, 440-458.doi:10.1016/j.foodcont.2018.02.018
Khanuja, A., & Jain, R. K. (2021). The mediating effect of supply chain flexibility on the relationship between supply chain integration and supply chain performance. Journal of Enterprise Information Management, 35(6), 1548-1569. doi:10.1108/JEIM-11-2020-0449
Kumar, V., Jabarzadeh, Y., Jeihouni, P., & Garza-Reyes, J. A. (2020). Learning orientation and innovation performance: the mediating role of operations strategy and supply chain integration. Supply Chain Management: An International Journal, 25(4), 457-474. doi:10.1108/SCM-05-2019-0209
Le, S., Wu, J., & Zhong, J. (2021). Relationship quality and supply chain quality performance: The effect of supply chain integration in hotel industry. Computational Intelligence, 37(3),1388-1404.doi:10.1111/coin. 12379
Lin, Y., Zhang, S., & Shi, Y. (2020). The impact of operational stickiness on product quality: product diversification moderation. Journal of Manufacturing Technology Management, 32(2), 423–447. http://dx.doi.org/ 10.1108/JMTM-09-2020-0360
Liu, C. L., & Lee, M. Y. (2018). Integration, supply chain resilience, and service performance in third-party logistics providers. The International Journal of Logistics Management, 29(3), 5-21. doi: 10.1108/IJLM-11-2016-0283
Lu, D., Ding, Y., Asian, S., & Paul, S. K. (2018). From supply chain integration to operational performance: The moderating effect of market uncertainty. Global Journal of Flexible Systems Management, 19(1), 3-20.doi:10.1007/s40171-017-0161-9
Luo, L., Liu, X., Zhao, X., & Flynn, B. B. (2022). The impact of supply chain quality leadership on supply chain quality integration and quality performance. Supply Chain Management: An International Journal, 28(3), 508-521. doi:10.1108/SCM-05-2021-0235
Mashayekhi Nezamabadi, E., & Alem Tabriz, A. (2017). The Impact of integration of Upstream and Downstream of Supply Chain on Quality Performance and Quality Program. Journal of Industrial Management Perspective, 6(4,), 37-57. [In Persian]. https://jimp.sbu.ac.ir/article_ 87214.html?lang=en
Mendoza-Silva, A. (2021). Innovation capability: A sociometric approach. Social Networks, 64, 72-82. doi:10.1016/j.socnet.2020.08.004
Mirhabibi, S. D., Farsijani, H., Modiri, M., & Damghani, K. K. (2018). A Model for relationship of Internal and External Integration of Supply Chain Vulnerabilities with Fuzzy DEMATEL and Fuzzy ANP in Electronic Domestic Appliance Industries. Journal of Quality Engineering and Management, 8(2), 98-115. [In Persian]. dor:20.1001.1.23221305. 1397. 8.2.3.7
Mirhabibi, S. D., Frsijani, H., Modiri, M., & Kahlili-Damghani, K. (2020). Improving the Integration of Supply Chain for Successful Implementation of World Class Manufacturing by using IPA: Evidence from Electronic Home Appliance. Industrial Management Studies, 18(57), 275-306. [In Persian]. doi:10.22054/jims.2020.38121.2219
Morais-Storz, M., Platou, R. S., & Norheim, K. B. (2018). Innovation and metamorphosis towards strategic resilience. International Journal of Entrepreneurial Behavior & Research, 24 No. 7, pp. 1181-1199. doi:10.1108/IJEBR-11-2016-0369
Moussa, M., Abderazzak, M. L., & Slimane, D. (2021). The impact of internal supply chain integration on perceived product quality: A case study of Moulin de Laghouat Spa. Dirassat Journal Economic Issue, 12(2), 433-445.doi:10.34118/djei.v12i2.1404
Munir, M., Jajja, M. S. S., Chatha, K. A., & Farooq, S. (2020). Supply chain risk management and operational performance: The enabling role of supply chain integration. International Journal of Production Economics, 227, 107667.doi:10.1016/j.ijpe.2020.107667
Najafi-Tavani, S., Najafi-Tavani, Z., Naudé, P., Oghazi, P., & Zeynaloo, E. (2018). How collaborative innovation networks affect new product performance: Product innovation capability, process innovation capability, and absorptive capacity. Industrial marketing management, 73, 193-205. doi:10.1016/j.indmarman.2018.02.009
Permana, A., Purba, H. H., & Rizkiyah, N. D. (2021). A systematic literature review of Total Quality Management (TQM) implementation in the organization. International Journal of Production Management and Engineering, 9(1), 25-36.doi:10.4995/ijpme.2021.13765
Qi, Y., Mao, Z., Zhang, M., & Guo, H. (2020). Manufacturing practices and servitization: The role of mass customization and product innovation capabilities. International Journal of Production Economics, 228, 107747.doi:10.1016/j.ijpe.2020.107747
Rahman, M. K., & Zailani, S. (2017). The effectiveness and outcomes of the Muslim-friendly medical tourism supply chain. Journal of Islamic Marketing,8(4),732-752.doi:10.1108/JIMA-09-2016-0070
Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3. Boenningstedt, Germany: SmartPLS GmbH.
Ritchie, B., & Brindley, C. (2007). Supply chain risk management and performance. International Journal of Operations & Production Management, 27(3), 303–322. doi:10.1108/01443570710725563
Roscoe, S., Skipworth, H., Aktas, E., & Habib, F. (2020). Managing supply chain uncertainty arising from geopolitical disruptions: evidence from the pharmaceutical industry and brexit. International Journal of Operations & Production Management, 40(9), 1499-1529.doi:10.1108/IJOPM-10-2019-0668
Saunila, M. (2020). Innovation capability in SMEs: A systematic review of the literature. Journal of Innovation & Knowledge, 5(4), 260-265. doi:10.1016/j.jik.2019.11.002
Schoenherr, T., & Swink, M. (2012). Revisiting the arcs of integration: Cross-validations and extensions. Journal of operations management, 30(1-2), 99-115.doi:10.1016/j.jom.2011.09.001
Shou, Y., Kang, M., & Park, Y. W. (2022). A Systematic Literature Review of Supply Chain Integration. Supply Chain Integration for Sustainable Advantages, 9-29.doi:10.1007/978-981-16-9332-8_2
Shukor, A. A. A., Newaz, M. S., Rahman, M. K., & Taha, A. Z. (2020). Supply chain integration and its impact on supply chain agility and organizational flexibility in manufacturing firms. International Journal of Emerging Markets. 1746-8809. doi:10.1108/IJOEM-04-2020-0418
Siddh, M. M., Soni, G., Jain, R., & Sharma, M. K. (2018). Structural model of perishable food supply chain quality (PFSCQ) to improve sustainable organizational performance. Benchmarking: An International Journal, 25(7), 2272-2317. doi:10.1108/BIJ-01-2017-0003
Song, H., Turson, R., Ganguly, A., & Yu, K. (2017). Evaluating the effects of supply chain quality management on food firms’ performance: The mediating role of food certification and reputation. International Journal of Operations & Production Management, 37(10), 1541–1562. doi:10.1108/IJOPM-11-2015-0666
Sreedevi, R., & Saranga, H. (2017). Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation. International Journal of Production Economics, 193, 332-342.doi:10.1016/j.ijpe. 2017.07.024
Sun, Y., & Sun, H. (2021). Green innovation strategy and ambidextrous green innovation: the mediating effects of green supply chain integration. Sustainability, 13(9), 1-20.doi:10.3390/su13094876
Sun, Z., Xu, Q., & Shi, B. (2022). Price and product quality decisions for a two-echelon supply chain in the blockchain era. Asia-Pacific Journal of Operational Research, 39(01), 1-31.doi:10.1142/S0217595921400169
Tarigan, Z., Mochtar, J., Basana, S., & Siagian, H. (2021). The effect of competency management on organizational performance through supply chain integration and quality. Uncertain Supply Chain Management, 9(2), 283-294.doi:10.5267/j.uscm.2021.3.004
Tian, H., Otchere, S. K., Coffie, C. P., Mensah, I. A., & Baku, R. K. (2021). Supply Chain Integration, Interfirm Value Co-Creation and Firm Performance Nexus in Ghanaian SMEs: Mediating Roles of Stakeholder Pressure and Innovation Capability. Sustainability, 13(4), 1-18.doi:10. 3390/ su13042351
Venkateswaran, N. (2022). A Process-Based Framework for B-to-B Service Quality: A Practitioner Note of Management Consulting Service. Journal of Business-to-Business Marketing, 2, 211-219.doi:10.1080/1051712x. 2022.2058540
Visnjic, I., Neely, A., & Jovanovic, M. (2018). The path to outcome delivery: Interplay of service market strategy and open business models. Technovation, 72, 46-59.doi:10.1016/j.technovation.2018.02.003
Wang, M., & Jie, F. (2020). Managing supply chain uncertainty and risk in the pharmaceutical industry. Health services management research, 33(3), 156-164. doi:10.1177/0951484819845305
Wiengarten, F., Li, H., Singh, P. J., & Fynes, B. (2019). Re-evaluating supply chain integration and firm performance: linking operations strategy to supply chain strategy. Supply Chain Management: An International Journal, 24(4), 540-559. doi:10.1108/SCM-05-2018-0189
Wong, C. Y., Boon-Itt, S., & Wong, C. W. (2011). The contingency effects of environmental uncertainty on the relationship between supply chain integration and operational performance. Journal of Operations management, 29(6), 604-615.doi:10.1016/j.jom.2011.01.003
Yu, S. X., Zhou, G., & Huang, J. (2021). Buy domestic or foreign brands? The moderating roles of decision focus and product quality. Asia Pacific Journal of Marketing and Logistics, 4, 843-861. doi:10.1108/APJML-04-2020-0210
Zhang, D. (2022). Environmental regulation and firm product quality improvement: How does the greenwashing response?. International Review of Financial Analysis, 80, 102058.doi:10.1016/j.irfa.2022.102058
Zhang, X., Yang, J., Lin, T., & Ying, Y. (2021). Food and agro-product quality evaluation based on spectroscopy and deep learning: A review. Trends in Food Science & Technology, 112, 431-441.doi:10.1016/j.tifs.2021.04.008
Zhao, L., Huo, B., Sun, L., & Zhao, X. (2013). The impact of supply chain risk on supply chain integration and company performance: a global investigation. Supply Chain Management: An International Journal, 18(2), 115-131. doi:10.1108/13598541311318773
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
Ziaee Bigdeli, A., Bustinza, O. F., Vendrell-Herrero, F., & Baines, T. (2018). Network positioning and risk perception in servitization: evidence from the UK road transport industry. International Journal of Production Research, 56(6), 2169-2183 . doi:10.1080/00207543.2017.1341063