TEDARİK ZİNCİRİ ENTEGRASYONU, OPERASYONEL ÇEVİKLİK VE KİTLESEL KİŞİSELLEŞTİRME YETENEĞİ: İMALAT SEKTÖRÜNDE AMPİRİK BİR ARAŞTIRMA

Yıl 2021, Cilt: 21 Sayı: 1, 10 - 26, 30.04.2021

Sibel Yıldız Çankaya , Yeşim Can

https://doi.org/10.30976/susead.776068

Cited By: 1

Öz

Amaç - Bu çalışmada tedarik zinciri entegrasyonunun, operasyonel çeviklik ve kitlesel kişiselleştirme yeteneği üzerindeki etkisinin incelenmesi amaçlanmaktadır.
Yöntem - Araştırmada Türkiye'de faaliyet gösteren imalat işletmeleri arasından kolayda örnekleme metodu ile seçilmiş 83 işletme üzerinde anket çalışması gerçekleştirilmiştir. Araştırma amacına ulaşmak ve bu doğrultuda geliştirilen hipotezleri test etmek için kısmi en küçük kareler yapısal eşitlik modeli (PLS-YEM) tercih edilmiştir.
Bulgular – 83 işletme üzerinde yapılan analizlerle tedarik zinciri entegrasyonunun üç boyutundan sadece iç entegrasyonun operasyonel çeviklik ile pozitif ilişkili olduğu ayrıca müşteri ve tedarikçi entegrasyonunun kitlesel kişiselleştirme yeteneği ile pozitif ilişkili olduğu tespit edilmiştir.
Sonuç – Araştırma sonuçlarına göre, tedarik zinciri entegrasyonunun bazı boyutlarının operasyonel çevikliğin ve kitlesel kişiselleştirme yeteneğinin gelişmesini olumlu bir şekilde etkileyeceği söylenebilir.

Anahtar Kelimeler

Tedarik zinciri yönetimi, Tedarik zinciri entegrasyonu, Operasyonel çeviklik, Kitlesel kişiselleştirme yeteneği, Yapısal eşitlik modellemesi

Kaynakça

• Akhtar, P., Khan, Z., Tarba, S., & Jayawickrama, U. (2018). The internet of things, dynamic data and information processing capabilities, and operational agility. Technological Forecasting & Social Change, 136, 307–316.
• Akkaya, B., & Tabak, A. (2018). Örgütsel çeviklik ölçeğinin Türkçeye uyarlanması: Geçerlik ve güvenirlik çalışması. İş ve İnsan Dergisi, 5(2), 185-206.
• Alfalla-Luque, R., Medina-Lopez, C., & Dey, P. (2013). Supply chain integration framework using literature review. Production Planning & Control, 24(8-9), 800-817.
• Bagchi, P., Ha, B., Skjoett-Larsen, T., & Soerensen, L. (2005). Supply chain integration: A European survey. The International Journal of Logistics Management, 16(2), 275-294.
• Barutcu, S. (2007). Customized products: The integrating relationship marketing, agile manufacturing and supply chain management for mass customization. Ege Academic Review, 7(2), 573-593.
• Beck, R., Pahlke, L., & Vykoukal, J. (2016). Colocation as a hybrid ICT sourcing strategy to improve operational agility. The Data Base for Advances in Information Systems, 47(2), 9-35.
• Cagliano, R., Caniato, F., & Spina, G. (2006). The linkage between supply chain integration and manufacturing improvement programmes. International Journal of Operations & Production Management, 26(3), 282-299.
• 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.
• Çakar, F. (2020). Kısmi En Küçük Kareler Yapısal Eşitlik Modellemesi (PLS-SEM). Ankara: Gazi Kitabevi. Da Silveira, G., Borenstein, D., & Fogliatto, F. (2001). Mass customization: Literature review and research directions. International Journal Production Economics, 72, 1-13.
• Devaraj, S., Krajewski, L., & Wei, J. C. (2007). Impact of e-business technologies on operational performance: The role of production information integration in the supply chain. Journal of Operations Management, 25(6), 1199-1216.
• Flynn, B. B., Huo, B., & Zhao, X. (2010). The impact of supply chain integration on performance: A contingency and configuration approach. Journal of Operations Management, 28(1), 58-71.
• Fremdt, S., Beck, R., & Weber, S. (2013). Does cloud computıng matter? An analysis of the cloud model software-as-a-service and its impact on operational agility. 46th Hawaii International Conference on System Sciences (s. 1025-1034). Wailea: HICSS.
• Germain, R., & Iyer, K. N. (2006). The interaction of internal and downstream integration and its association with performance. Journal of Business Logistics, 27(2), 29-52.
• Henseler, J., Hubona, G., & Ray, P. (2016). Using PLS path modeling in newt echnology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.
• Huang, P. Y., Ouyang, T., Pan, S., & Chou, T. C. (2012). The role of IT in achieving operational agility: A case study of Haier, China. International Journal of Information Management, 32, 294-298.
• Huang, P. Y., Pan, S., & Ouyang, T. (2014). Developing information processing capability for operational agility: Implications from a Chinese manufacturer. European Journal of Information Systems, 23(4), 462-480.
• Jajja, M., Chatha, K., & Farooq , S. (2018). Impact of supply chain risk on agility performance: Mediating role of supply chain integration. International Journal of Production Economics, 205, 118-138.
• Kalaycı, Ş. (2008). SPSS Uygulamalı Çok Değişkeli İstatistik Teknikleri. Ankara: Asil Yayın Dağıtım.
• Kumar, G., & Banerjee, R. N. (2012). Collaboration in supply chain: An assessment of hierarchical model using partial least squares (PLS). International Journal of Productivity and Performance Management, 61(8), 897-918.
• Lai, F., Zhang, M., Lee, D., & Zhao, X. (2012). The impact of supply chain integration on mass customization capability: An extended resource-based view. IEEE Transactions on Engineering Management, 59(3), 443-456.
• Liao, K., Ma, Z., Yee Lee, J., & Ke, K. (2011). Achieving mass customization through trust-driven information sharing: A supplier’s perspective. Management Research Review, 34(5), 541-552.
• Liu , G., Shah, R., & Schroeder, R. (2006). Linking work design to mass customization: A sociotechnical systems perspective. Decision Sciences, 37(4), 519-45.
• Liu, G., & Deitz, G. (2011). Linking supply chain management with mass customization capability. International Journal of Physical Distribution & Logistics Management, 41(7), 668-683.
• Liu, G., Zhang, W., & Guo, C. (2018). Impacts of supply chain planning and integration on mass customization. Journal of Manufacturing Technology Management, 29(3), 608-628.
• Liu, S., Chan, F., & Yang, J. (2018). Understanding the effect of cloud computing on organizational agility: An empirical examination. International Journal of Information Management, 43, 98-111.
• Malhotra, N., Kim, S., & Patil, A. (2006). Common method variance in IS research: A comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865-1883.
• Merschmann, U., & Thonemann, U. W. (2011). Supply chain flexibility, uncertainty and firm performance: An empirical analysis of German manufacturing firms. International Journal of Production Economics, 130(1), 43-53.
• Mishra, S., Datta, S., & Mahapatra, S. (2013). Grey-based and fuzzy TOPSIS decision-making approach for agility evaluation of mass customization systems. Benchmarking: An International Journal, 20(4), 440-462.
• Munir, M., Jajja, M. 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, 1-14.
• Podsakoff, P., Mackenzie, S., Podsakoff, N., & Lee, J. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
• Prajogo, D., & Olhager, J. (2012). Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration. International journal of Production Economics, 135, 514-522.
• Rai, A., Patnayakuni, R., & Seth, N. (2006). Firm performance impacts of digitally enabled supply chain integration capabilities. MIS Quarterly, 30(2), 225-246.
• Ramirez, M., Roman, I., Ramos, E., & Patrucco, A. (2021). The value of supply chain integration in the Latin American agri-food industry: Trust, commitment and performance outcomes. The International Journal of Logistics Management, 32(1), 284-304.
• Romano, P. (2003). Co-ordination and integration mechanisms to manage logistics processes across supply networks. Journal of Purchasing & Supply Management, 9, 119–134.
• Sandrin, E., Trentin, A., & Forza, C. (2018). Leveraging high-involvement practices to develop mass customization capability: A contingent configurational perspective. International Journal of Production Economics, 196, 335-345.
• Sayan, Z. (2018). Lojistik, pazarlama ve üretim arasındaki içsel entegrasyonun, tedarik zincirinin süre odaklı performansına etkisi algısının ölçülmesi: Güven ve bilgi teknolojilerinin aracı değişken rolü. (Yayınlanmamış Doktora Tezi). Ankara: Hacettepe Üniversitesi Sosyal Bilimler Enstitüsü.
• Schoenherr, T., & Swink, M. (2012). Revisiting the arcs of integration: Cross-validations and extensions. Journal of Operation Management, 30(1-2), 99–115.
• Selladurai, R. (2004). Mass customization in operations management: Oxymoron or reality? Omega, 32(4), 295-300.
• Shukor, A., Newaz, M., Rahman, M., & Taha, A. (2020). Supply chain integration and its impact on supply chain agility and organizational flexibility in manufacturing firms. International Journal of Emerging. doi:10.1108/IJOEM-04-2020-0418
• Stonebraker, P. W., & Liao, J. (2004). Environmental turbulence, strategic orientation. International Journal of Operations &Production Management, 24(10), 1037-1054.
• Sundram, V. P., Bahrin, A. S., Munir, Z. B., & Zolait, A. H. (2018). The effect of supply chain information management and information system infrastructure. Journal of Enterprise Information Management, 31(5), 751-770.
• Tu, Q., Vonderembse, M., & Ragu-Nathan, T. (2001). The impact of time-based manufacturing practices on mass customization and value to customer. Journal of Operations Management, 19(2), 201-217.
• Wang, W. P. (2009). Toward developing agility evaluation of mass customization systems using 2-tuple linguistic computing. Expert Systems with Applications, 36, 3439–3447.
• Wang, Z., & Zhang, M. (2020). Linking product modularity to supply chain integration and flexibility. Production Planning & Control, 31(14), 1149-1163.
• Xu, D., Huo, B., & Sun, L. (2014). Relationships between intra-organizational resources, supply chain integration and business performance: An extended resource-based view. Industrial Management & Data Systems, 114(8), 1186-1206.
• Yıldız, B., & Çetindaş, A. (2020). Tedarik zinciri entegrasyonunun firma performansı üzerindeki etkisinde tedarik zinciri esnekliği ve tedarik zinciri çevikliğinin aracı rolü. Verimlilik Dergisi, 3, 175-199.
• Yu, Y., Huo, B., & Zhang, Z. (2021). Impact of information technology on supply chain integration and company performance: Evidence from cross-border e-commerce companies in China. Journal of Enterprise Information Management, 34(1), 460-489.
• Yüksel, B. (1999). İşletme-müşteri ilişkilerini kişisel boyuta indirgemede kitlesel kişiselleştirme (mass customization) stratejisinin rolü. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, 3, 207-224.
• Zhang, M., Zhao, X., & Qi, Y. (2014). The effects of organizational flatness, coordination, and product modularity on mass customization capability. International Journal of Production Economics, 158, 145-155.
• Zhang, M., Zhao, X., Lyles, M., & Guo, H. (2015). Absorptive capacity and mass customization capability. International Journal of Operations & Production Management, 35(9), 1275-1294.