Araştırma Makalesi
BibTex RIS Kaynak Göster

The Impact of Supply Chain Integration and Digitalization on Performance: The Mediating Role of Buyer-Supplier Risk Management

Yıl 2022, Cilt: 40 Sayı: 4, 837 - 860, 27.12.2022
https://doi.org/10.17065/huniibf.1075767

Öz

The aim of the study is to determine the mediating role of supply chain risk management in the impact of supply chain integration and digitalization on performance. For this, a structural model was created. The relationships in the structural model were analyzed with the data obtained from 246 production enterprises operating in Gaziantep Organized Industrial Zones. The Structural Equation Model method was used to determine the relationships in the model. As a result of the analysis, it was determined that buyer-supplier integration, digitalization and buyer-supplier risk management factors have a significant effect on business performance. In addition, it has been determined that buyer-supplier integration and digitalization have a significant effect on buyer-supplier risk management. In the study, mediator effects were investigated. Accordingly, buyer-supplier risk management has a partial mediation effect on the effect of buyer-supplier integration and digitalization on business performance. The results support the structural model. It can be stated that the results obtained can make various contributions to the literature, businesses and managers.

Kaynakça

  • Abou-Foul, M., Ruiz-Alba, J. L., & Soares, A. (2021). The impact of digitalization and servitization on the financial performance of a firm: an empirical analysis. Production Planning & Control, 32(12), 975-989. https://doi.org/10.1080/09537287.2020.1780508 Alfalla-Luque, R., Marin-Garcia, J. A., & Medina-Lopez, C. (2015). An analysis of the direct and mediated effects of employee commitment and supply chain integration on organisational performance. International Journal of Production Economics, 162, 242-257. https://doi.org/10.1016/j.ijpe.2014.07.004
  • Allred, C. R., Fawcett, S. E., Wallin, C., & Magnan, G. M. (2011). A dynamic collaboration capability as a source of competitive advantage. Decision sciences, 42(1), 129-161. https://doi.org/10.1111/j.1540-5915.2010.00304.x
  • Aqlan, F., & Lam, S. S. (2015). A fuzzy-based integrated framework for supply chain risk assessment. International journal of production economics, 161, 54-63. https://doi.org/10.1016/j.ijpe.2014.11.013 Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173-1182. https://doi.org/10.1037/0022-3514.51.6.1173
  • Brennen, J. & Kreiss, D. (2016). Digitalization. Klaus Bruhn Jensen & Robert Craig (Ed.), The International Encyclopedia of Communication Theory and Philosophy. Wiley-Blackwell, Chichester, 556-566.
  • Brown. T. A. (2006). Confirmatory factor analysis for applied research. The Guilford Press. New York.
  • Cao, M., & Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of operations management, 29(3), 163-180. https://doi.org/10.1016/j.jom.2010.12.008
  • Castells. M. (1996). The rise of the network society. Blackwell Publishing. United Kingdom.
  • Cohen, M. A., & Kunreuther, H. (2007). Operations risk management: overview of Paul Kleindorfer's contributions. Production and Operations Management, 16(5), 525-541. https://doi.org/10.1111/j.1937-5956.2007.tb00278.x
  • Cortina. J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of applied psychology, 78(1). 98–104. https://doi.org/10.1037/0021-9010.78.1.98
  • Cronbach. L. J. (1951). Coefficient alpha and the ınternal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
  • Danese, P. (2013). Supplier integration and company performance: A configurational view. Omega, 41(6), 1029-1041. https://doi.org/10.1016/j.omega.2013.01.006
  • Droge. C. J. Jayaram. S. K. Vickery (2004). The effects of internal versus external integration practices on time-based performance and overall firm performance. Journal of Operations Management, 22(6). 557–573. https://doi.org/10.1016/j.jom.2004.08.001
  • Ellinger, A. E., Chen, H., Tian, Y., & Armstrong, C. (2015). Learning orientation, integration, and supply chain risk management in Chinese manufacturing firms. International Journal of Logistics Research and Applications, 18(6), 476-493. https://doi.org/10.1080/13675567.2015.1005008
  • Eroğlu. A. (2005). Çok değişkenli istatistik tekniklerin varsayımları. Şeref KALAYCI (Ed.). SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri. Asil Yayın Dağıtım, Ankara, 207-233.
  • 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. https://doi.org/10.1016/j.jom.2009.06.001
  • Frohlich, M. T., & Westbrook, R. (2001). Arcs of integration: an international study of supply chain strategies. Journal of operations management, 19(2), 185-200. https://doi.org/10.1016/S0272-6963(00)00055-3
  • 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://doi.org/10.1177/002224378101800104
  • Gartner (2020). Digitalization. Retrieved 05 April 2020 from https://www.gartner.com/en/information-technology/glossary/digitalization
  • Gürbüz, S., & Şahin, F. (2016). Sosyal bilimlerde araştırma yöntemleri. Felsefe-Yöntem-Analiz, Ankara, Seçkin yayınevi.
  • Hallikas, J., Karvonen, I., Pulkkinen, U., Virolainen, V. M., & Tuominen, M. (2004). Risk management processes in supplier networks. International Journal of Production Economics, 90(1), 47-58. https://doi.org/10.1016/j.ijpe.2004.02.007
  • Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach, New York, The Guilford Publications.
  • Hofmann, E., & Rüsch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in industry, 89, 23-34. https://doi.org/10.1016/j.compind.2017.04.002
  • Huang, C. C., Wang, Y. M., Wu, T. W., & Wang, P. A. (2013). An empirical analysis of the antecedents and performance consequences of using the moodle platform. International Journal of Information and Education Technology, 3(2), 217-221. http://dx.doi.org/10.7763/IJIET.2013.V3.267.
  • Hudnurkar, M., Deshpande, S., Rathod, U., & Jakhar, S. (2017). Supply chain risk classification schemes: A literature review. Operations and Supply Chain Management: An International Journal, 10(4), 182-199. http://doi.org/10.31387/oscm0290190
  • Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829-846. https://doi.org/10.1080/00207543.2018.1488086
  • Janvier-James, A. M. (2012). A new introduction to supply chains and supply chain management: Definitions and theories perspective. International Business Research, 5(1), 194-207. http://dx.doi.org/10.5539/ibr.v5n1p194
  • Jüttner, U., Peck, H., & Christopher, M. (2003). Supply chain risk management: outlining an agenda for future research. International Journal of Logistics: Research and applications, 6(4), 197-210. https://doi.org/10.1080/13675560310001627016
  • Khan, H., Wisner, J. D. (2019). Supply chain ıntegration, learning, and agility: Effects on performance. Journal of Operations and Supply Chain Management, 12(1), 14-23. http://dx.doi.org/10.31387/oscm0360218
  • Khajavi, S. H., Partanen, J., & Holmström, J. (2014). Additive manufacturing in the spare parts supply chain. Computers in industry, 65(1), 50-63. https://doi.org/10.1016/j.compind.2013.07.008
  • Kleindorfer, P. R., & Saad, G. H. (2005). Managing disruption risks in supply chains. Production and operations management, 14(1), 53-68. https://doi.org/10.1111/j.1937-5956.2005.tb00009.x
  • Kline. R. B. (2011). Principles and practice of structural equation modeling. 3. Baskı, The Guilford Press., New York.
  • Koufteros, X., Vonderembse, M., & Jayaram, J. (2005). Internal and external integration for product development: the contingency effects of uncertainty, equivocality, and platform strategy. Decision sciences, 36(1), 97-133. https://doi.org/10.1111/j.1540-5915.2005.00067.x
  • Kowalkowski, C., Witell, L., & Gustafsson, A. (2013). Any way goes: Identifying value constellations for service infusion in SMEs. Industrial Marketing Management, 42(1), 18-30. https://doi.org/10.1016/j.indmarman.2012.11.004
  • Lenka, S., Parida, V., & Wincent, J. (2017). Digitalization capabilities as enablers of value co‐creation in servitizing firms. Psychology & marketing, 34(1), 92-100. https://doi.org/10.1002/mar.20975
  • Li, G., Yang, H., Sun, L., & Sohal, A. S. (2009). The impact of IT implementation on supply chain integration and performance. International journal of production economics, 120(1), 125-138. https://doi.org/10.1016/j.ijpe.2008.07.017
  • 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(1), 5–21. https://doi.org/10.1108/IJLM-11-2016-0283
  • Mackelprang, A. W., Robinson, J. L., Bernardes, E., & Webb, G. S. (2014). The relationship between strategic supply chain integration and performance: a meta‐analytic evaluation and implications for supply chain management research. Journal of Business logistics, 35(1), 71-96. https://doi.org/10.1111/jbl.12023
  • Manhart, P., Summers, J. K., & Blackhurst, J. (2020). A meta‐analytic review of supply chain risk management: assessing buffering and bridging strategies and firm performance. Journal of Supply Chain Management, 56(3), 66-87. https://doi.org/10.1111/jscm.12219
  • Martín-Peña, María Luz vd. (2019). Servitization and digitalization in manufacturing: the ınfluence on firm performance. Journal of business and industrial marketing, 35(3), 564–574. https://doi.org/10.1108/JBIM-12-2018-0400
  • Martínez-Caro, E., Cegarra-Navarro, J. G., & Alfonso-Ruiz, F. J. (2020). Digital technologies and firm performance: The role of digital organisational culture. Technological Forecasting and Social Change, 154, 119962. https://doi.org/10.1016/j.techfore.2020.119962
  • 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. https://doi.org/10.1016/j.ijpe.2020.107667
  • Nakip. M. (2006). Pazarlama araştırmaları teknikler ve (spss destekli) uygulamalar. 2. Baskı, Seçkin Yayıncılık, Ankara.
  • Papadopoulos, T., Gunasekaran, A., Dubey, R., Altay, N., Childe, S. J., & Fosso-Wamba, S. (2017). The role of Big Data in explaining disaster resilience in supply chains for sustainability. Journal of Cleaner Production, 142, 1108-1118. https://doi.org/10.1016/j.jclepro.2016.03.059
  • Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard business review, 92(11), 64-88.
  • 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(1), 514-522. https://doi.org/10.1016/j.ijpe.2011.09.001
  • Qi, Y., Huo, B., Wang, Z., & Yeung, H. Y. J. (2017). The impact of operations and supply chain strategies on integration and performance. International Journal of Production Economics, 185, 162-174. https://doi.org/10.1016/j.ijpe.2016.12.028
  • Ralston, P. M., Blackhurst, J., Cantor, D. E., & Crum, M. R. (2015). A structure–conduct–performance perspective of how strategic supply chain integration affects firm performance. Journal of supply chain management, 51(2), 47-64. https://doi.org/10.1111/jscm.12064
  • Rajesh, R., & Ravi, V. (2017). Analyzing drivers of risks in electronic supply chains: a grey–DEMATEL approach. The International Journal of Advanced Manufacturing Technology, 92(1), 1127-1145. https://doi.org/10.1007/s00170-017-0118-3
  • Raykov, T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21(2), 173-184. https://doi.org/10.1177/01466216970212006
  • Ritchie, B., & Brindley, C. (2007). An emergent framework for supply chain risk management and performance measurement. Journal of the Operational Research Society, 58(11), 1398-1411. https://doi.org/10.1057/palgrave.jors.2602412
  • Saglam, C., Çankaya, Y. 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. https://doi.org/10.1108/JMTM-08-2019-0299
  • Joensuu-Salo, S., Sorama, K., Viljamaa, A., & Varamäki, E. (2018). Firm performance among internationalized SMEs: The interplay of market orientation, marketing capability and digitalization. Administrative sciences, 8(3), 31. https://doi.org/10.3390/admsci8030031
  • Scherer, R. F., Luther, D. C., Wiebe, F. A., & Adams, J. S. (1988). Dimensionality of coping: Factor stability using the ways of coping questionnaire. Psychological reports, 62(3), 763-770. https://doi.org/10.2466/pr0.1988.62.3.763
  • Schoenherr, T., & Swink, M. (2012). Revisiting the arcs of integration: Cross-validations and extensions. Journal of operations management, 30(1-2), 99-115. https://doi.org/10.1016/j.jom.2011.09.001
  • Schumacker, R. E. & Lomax, R. G. (2004). A beginner's guide to structural equation modeling. Psychology Press.
  • Schlüter, F., & Henke, M. (2017). Smart supply chain risk management-a conceptual framework. In Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg International Conference of Logistics (HICL), 23, 361-380. https://doi.org/10.15480/882.1442
  • Shafiq, S. I., Sanin, C., Szczerbicki, E., & Toro, C. (2015). Virtual engineering object/virtual engineering process: a specialized form of cyber physical system for Industrie 4.0. Procedia Computer Science, 60, 1146-1155. https://doi.org/10.1016/j.procs.2015.08.166
  • Shou, Y., Hu, W., Kang, M., Li, Y., & Park, Y. W. (2018). Risk management and firm performance: the moderating role of supplier integration. Industrial Management & Data Systems, 118(7), 1327-1344. https://doi.org/10.1108/IMDS-09-2017-0427
  • Sodhi, M. S. & Tang, C. S. (2012). Managing supply chain risk. Springer Science & Business Media. https://doi.org/10.1007/978-1-4614-3238-8
  • Swink, M., Narasimhan, R., & Wang, C. (2007). Managing beyond the factory walls: effects of four types of strategic integration on manufacturing plant performance. Journal of operations management, 25(1), 148-164. https://doi.org/10.1016/j.jom.2006.02.006
  • Tabachnick. B. G. & Fidell. Linda S. (2013). Using multivariate statistics. 7. Baskı, Pearson Education, Boston, ABD.
  • Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach's alpha. International journal of medical education, 2, 53-55. https://doi.org/10.5116%2Fijme.4dfb.8dfd
  • Terjesen, S., Patel, P. C., & Sanders, N. R. (2012). Managing differentiation‐integration duality in supply chain integration. Decision Sciences, 43(2), 303-339. https://doi.org/10.1111/j.1540-5915.2011.00345.x
  • Tsang, L., Kracov, D. A., Mulryne, J., Strom, L., Perkins, N., Dickinson, R., ... & Jones, B. (2017). The impact of artificial intelligence on medical innovation in the European Union and United States. Intellect Prop Technol Law J, 29(8), 3-12.
  • Tse, Y., Zhang, M., Akhtar, P., & MacBryde, J. (2016), Embracing supply chain agility: An investigation in the electronics industry, Supply Chain Management: An International Journal, 21(1), 140-156. https://doi.org/10.1108/SCM-06-2015-0237
  • Tohanean, D., Toma, S. G., & Dumitru, I. (2018). Organizational performance and digitalization in industry 4.0. The Journal'Emerging Trends in Marketing and Management, 1(1), 282-293.
  • Tummala, R., & Schoenherr, T. (2011). Assessing and managing risks using the supply chain risk management process (SCRMP). Supply Chain Management: An International Journal, 16(6). 474–483. https://doi.org/10.1108/13598541111171165
  • Vaske, J. J., Beaman, J., & Sponarski, C. C. (2017). Rethinking internal consistency in Cronbach's alpha. Leisure sciences, 39(2), 163-173. https://doi.org/10.1080/01490400.2015.1127189
  • Vendrell-Herrero, F., Bustinza, O. F., Parry, G., & Georgantzis, N. (2017). Servitization, digitization and supply chain interdependency. Industrial Marketing Management, 60, 69-81. https://doi.org/10.1016/j.indmarman.2016.06.013
  • 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
  • Vishnu, C. R., Sridharan, R., & Kumar, P. R. (2019). Supply chain risk management: models and methods. International Journal of Management and Decision Making, 18(1), 31-75. https://doi.org/10.1504/IJMDM.2019.096689
  • Wei, S., Yin, J., & Chen, X. (2021). Paradox of supply chain integration and firm performance: The moderating roles of distributive and procedural justice. Decision Sciences, 52(1), 78-108. https://doi.org/10.1111/deci.12438
  • Wieland, A., & Wallenburg, C. M. (2012). Dealing with supply chain risks: Linking risk management practices and strategies to performance. International Journal of Physical Distribution & Logistics Management, 42(10). 887–905. https://doi.org/10.1108/09600031211281411
  • Yildiz, B., & Sayin, B. (2020). Tedarik zinciri müşteri entegrasyonunun firma performansı üzerindeki etkisinde ürün inovasyon kapasitesinin aracı rolü. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(1), 319-348. https://doi.org/10.18074/ckuiibfd.683723

TEDARİK ZİNCİRİ ENTEGRASYONU VE DİJİTALLEŞMENİN PERFORMANSA ETKİSİ: ALICI-TEDARİKÇİ RİSK YÖNETİMİNİN ARACILIK ROLÜ

Yıl 2022, Cilt: 40 Sayı: 4, 837 - 860, 27.12.2022
https://doi.org/10.17065/huniibf.1075767

Öz

Çalışmanın amacı, tedarik zinciri entegrasyonu ve dijitalleşmenin performansa etkisinde tedarik zinciri risk yönetiminin aracı rolünü belirlemektir. Bunun için yapısal bir model oluşturulmuştur. Yapısal modelde yer alan ilişkiler, Gaziantep Organize Sanayi Bölgelerinde faaliyet gösteren 246 üretim işletmesinden elde edilen veriler ile analiz edilmiştir. Modelde yer alan ilişkilerin belirlenmesinde Yapısal Eşitlik Modeli yöntemi kullanılmıştır. Analiz sonucunda, alıcı-tedarikçi entegrasyonu, dijitalleşme ve alıcı-tedarikçi risk yönetimi faktörlerinin işletme performansı üzerinde anlamlı bir etkiye sahip olduğu belirlenmiştir. Ayrıca, alıcı-tedarikçi entegrasyonu ve dijitalleşmenin, alıcı-tedarikçi risk yönetimi üzerinde anlamlı etkisi olduğu belirlenmiştir. Çalışmada, aracı etkilerde araştırılmıştır. Buna göre, alıcı-tedarikçi entegrasyonu ve dijitalleşmenin işletme performansına etkisinde alıcı-tedarikçi risk yönetiminin kısmi aracılık etkisi bulunmaktadır. Sonuçlar, yapısal modeli desteklemektedir. Elde edilen sonuçların literatüre, işletmelere ve yöneticilere çeşitli katkılar sağlayabileceği ifade edilebilir.

Kaynakça

  • Abou-Foul, M., Ruiz-Alba, J. L., & Soares, A. (2021). The impact of digitalization and servitization on the financial performance of a firm: an empirical analysis. Production Planning & Control, 32(12), 975-989. https://doi.org/10.1080/09537287.2020.1780508 Alfalla-Luque, R., Marin-Garcia, J. A., & Medina-Lopez, C. (2015). An analysis of the direct and mediated effects of employee commitment and supply chain integration on organisational performance. International Journal of Production Economics, 162, 242-257. https://doi.org/10.1016/j.ijpe.2014.07.004
  • Allred, C. R., Fawcett, S. E., Wallin, C., & Magnan, G. M. (2011). A dynamic collaboration capability as a source of competitive advantage. Decision sciences, 42(1), 129-161. https://doi.org/10.1111/j.1540-5915.2010.00304.x
  • Aqlan, F., & Lam, S. S. (2015). A fuzzy-based integrated framework for supply chain risk assessment. International journal of production economics, 161, 54-63. https://doi.org/10.1016/j.ijpe.2014.11.013 Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173-1182. https://doi.org/10.1037/0022-3514.51.6.1173
  • Brennen, J. & Kreiss, D. (2016). Digitalization. Klaus Bruhn Jensen & Robert Craig (Ed.), The International Encyclopedia of Communication Theory and Philosophy. Wiley-Blackwell, Chichester, 556-566.
  • Brown. T. A. (2006). Confirmatory factor analysis for applied research. The Guilford Press. New York.
  • Cao, M., & Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of operations management, 29(3), 163-180. https://doi.org/10.1016/j.jom.2010.12.008
  • Castells. M. (1996). The rise of the network society. Blackwell Publishing. United Kingdom.
  • Cohen, M. A., & Kunreuther, H. (2007). Operations risk management: overview of Paul Kleindorfer's contributions. Production and Operations Management, 16(5), 525-541. https://doi.org/10.1111/j.1937-5956.2007.tb00278.x
  • Cortina. J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of applied psychology, 78(1). 98–104. https://doi.org/10.1037/0021-9010.78.1.98
  • Cronbach. L. J. (1951). Coefficient alpha and the ınternal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
  • Danese, P. (2013). Supplier integration and company performance: A configurational view. Omega, 41(6), 1029-1041. https://doi.org/10.1016/j.omega.2013.01.006
  • Droge. C. J. Jayaram. S. K. Vickery (2004). The effects of internal versus external integration practices on time-based performance and overall firm performance. Journal of Operations Management, 22(6). 557–573. https://doi.org/10.1016/j.jom.2004.08.001
  • Ellinger, A. E., Chen, H., Tian, Y., & Armstrong, C. (2015). Learning orientation, integration, and supply chain risk management in Chinese manufacturing firms. International Journal of Logistics Research and Applications, 18(6), 476-493. https://doi.org/10.1080/13675567.2015.1005008
  • Eroğlu. A. (2005). Çok değişkenli istatistik tekniklerin varsayımları. Şeref KALAYCI (Ed.). SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri. Asil Yayın Dağıtım, Ankara, 207-233.
  • 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. https://doi.org/10.1016/j.jom.2009.06.001
  • Frohlich, M. T., & Westbrook, R. (2001). Arcs of integration: an international study of supply chain strategies. Journal of operations management, 19(2), 185-200. https://doi.org/10.1016/S0272-6963(00)00055-3
  • 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://doi.org/10.1177/002224378101800104
  • Gartner (2020). Digitalization. Retrieved 05 April 2020 from https://www.gartner.com/en/information-technology/glossary/digitalization
  • Gürbüz, S., & Şahin, F. (2016). Sosyal bilimlerde araştırma yöntemleri. Felsefe-Yöntem-Analiz, Ankara, Seçkin yayınevi.
  • Hallikas, J., Karvonen, I., Pulkkinen, U., Virolainen, V. M., & Tuominen, M. (2004). Risk management processes in supplier networks. International Journal of Production Economics, 90(1), 47-58. https://doi.org/10.1016/j.ijpe.2004.02.007
  • Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach, New York, The Guilford Publications.
  • Hofmann, E., & Rüsch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in industry, 89, 23-34. https://doi.org/10.1016/j.compind.2017.04.002
  • Huang, C. C., Wang, Y. M., Wu, T. W., & Wang, P. A. (2013). An empirical analysis of the antecedents and performance consequences of using the moodle platform. International Journal of Information and Education Technology, 3(2), 217-221. http://dx.doi.org/10.7763/IJIET.2013.V3.267.
  • Hudnurkar, M., Deshpande, S., Rathod, U., & Jakhar, S. (2017). Supply chain risk classification schemes: A literature review. Operations and Supply Chain Management: An International Journal, 10(4), 182-199. http://doi.org/10.31387/oscm0290190
  • Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829-846. https://doi.org/10.1080/00207543.2018.1488086
  • Janvier-James, A. M. (2012). A new introduction to supply chains and supply chain management: Definitions and theories perspective. International Business Research, 5(1), 194-207. http://dx.doi.org/10.5539/ibr.v5n1p194
  • Jüttner, U., Peck, H., & Christopher, M. (2003). Supply chain risk management: outlining an agenda for future research. International Journal of Logistics: Research and applications, 6(4), 197-210. https://doi.org/10.1080/13675560310001627016
  • Khan, H., Wisner, J. D. (2019). Supply chain ıntegration, learning, and agility: Effects on performance. Journal of Operations and Supply Chain Management, 12(1), 14-23. http://dx.doi.org/10.31387/oscm0360218
  • Khajavi, S. H., Partanen, J., & Holmström, J. (2014). Additive manufacturing in the spare parts supply chain. Computers in industry, 65(1), 50-63. https://doi.org/10.1016/j.compind.2013.07.008
  • Kleindorfer, P. R., & Saad, G. H. (2005). Managing disruption risks in supply chains. Production and operations management, 14(1), 53-68. https://doi.org/10.1111/j.1937-5956.2005.tb00009.x
  • Kline. R. B. (2011). Principles and practice of structural equation modeling. 3. Baskı, The Guilford Press., New York.
  • Koufteros, X., Vonderembse, M., & Jayaram, J. (2005). Internal and external integration for product development: the contingency effects of uncertainty, equivocality, and platform strategy. Decision sciences, 36(1), 97-133. https://doi.org/10.1111/j.1540-5915.2005.00067.x
  • Kowalkowski, C., Witell, L., & Gustafsson, A. (2013). Any way goes: Identifying value constellations for service infusion in SMEs. Industrial Marketing Management, 42(1), 18-30. https://doi.org/10.1016/j.indmarman.2012.11.004
  • Lenka, S., Parida, V., & Wincent, J. (2017). Digitalization capabilities as enablers of value co‐creation in servitizing firms. Psychology & marketing, 34(1), 92-100. https://doi.org/10.1002/mar.20975
  • Li, G., Yang, H., Sun, L., & Sohal, A. S. (2009). The impact of IT implementation on supply chain integration and performance. International journal of production economics, 120(1), 125-138. https://doi.org/10.1016/j.ijpe.2008.07.017
  • 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(1), 5–21. https://doi.org/10.1108/IJLM-11-2016-0283
  • Mackelprang, A. W., Robinson, J. L., Bernardes, E., & Webb, G. S. (2014). The relationship between strategic supply chain integration and performance: a meta‐analytic evaluation and implications for supply chain management research. Journal of Business logistics, 35(1), 71-96. https://doi.org/10.1111/jbl.12023
  • Manhart, P., Summers, J. K., & Blackhurst, J. (2020). A meta‐analytic review of supply chain risk management: assessing buffering and bridging strategies and firm performance. Journal of Supply Chain Management, 56(3), 66-87. https://doi.org/10.1111/jscm.12219
  • Martín-Peña, María Luz vd. (2019). Servitization and digitalization in manufacturing: the ınfluence on firm performance. Journal of business and industrial marketing, 35(3), 564–574. https://doi.org/10.1108/JBIM-12-2018-0400
  • Martínez-Caro, E., Cegarra-Navarro, J. G., & Alfonso-Ruiz, F. J. (2020). Digital technologies and firm performance: The role of digital organisational culture. Technological Forecasting and Social Change, 154, 119962. https://doi.org/10.1016/j.techfore.2020.119962
  • 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. https://doi.org/10.1016/j.ijpe.2020.107667
  • Nakip. M. (2006). Pazarlama araştırmaları teknikler ve (spss destekli) uygulamalar. 2. Baskı, Seçkin Yayıncılık, Ankara.
  • Papadopoulos, T., Gunasekaran, A., Dubey, R., Altay, N., Childe, S. J., & Fosso-Wamba, S. (2017). The role of Big Data in explaining disaster resilience in supply chains for sustainability. Journal of Cleaner Production, 142, 1108-1118. https://doi.org/10.1016/j.jclepro.2016.03.059
  • Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard business review, 92(11), 64-88.
  • 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(1), 514-522. https://doi.org/10.1016/j.ijpe.2011.09.001
  • Qi, Y., Huo, B., Wang, Z., & Yeung, H. Y. J. (2017). The impact of operations and supply chain strategies on integration and performance. International Journal of Production Economics, 185, 162-174. https://doi.org/10.1016/j.ijpe.2016.12.028
  • Ralston, P. M., Blackhurst, J., Cantor, D. E., & Crum, M. R. (2015). A structure–conduct–performance perspective of how strategic supply chain integration affects firm performance. Journal of supply chain management, 51(2), 47-64. https://doi.org/10.1111/jscm.12064
  • Rajesh, R., & Ravi, V. (2017). Analyzing drivers of risks in electronic supply chains: a grey–DEMATEL approach. The International Journal of Advanced Manufacturing Technology, 92(1), 1127-1145. https://doi.org/10.1007/s00170-017-0118-3
  • Raykov, T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21(2), 173-184. https://doi.org/10.1177/01466216970212006
  • Ritchie, B., & Brindley, C. (2007). An emergent framework for supply chain risk management and performance measurement. Journal of the Operational Research Society, 58(11), 1398-1411. https://doi.org/10.1057/palgrave.jors.2602412
  • Saglam, C., Çankaya, Y. 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. https://doi.org/10.1108/JMTM-08-2019-0299
  • Joensuu-Salo, S., Sorama, K., Viljamaa, A., & Varamäki, E. (2018). Firm performance among internationalized SMEs: The interplay of market orientation, marketing capability and digitalization. Administrative sciences, 8(3), 31. https://doi.org/10.3390/admsci8030031
  • Scherer, R. F., Luther, D. C., Wiebe, F. A., & Adams, J. S. (1988). Dimensionality of coping: Factor stability using the ways of coping questionnaire. Psychological reports, 62(3), 763-770. https://doi.org/10.2466/pr0.1988.62.3.763
  • Schoenherr, T., & Swink, M. (2012). Revisiting the arcs of integration: Cross-validations and extensions. Journal of operations management, 30(1-2), 99-115. https://doi.org/10.1016/j.jom.2011.09.001
  • Schumacker, R. E. & Lomax, R. G. (2004). A beginner's guide to structural equation modeling. Psychology Press.
  • Schlüter, F., & Henke, M. (2017). Smart supply chain risk management-a conceptual framework. In Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg International Conference of Logistics (HICL), 23, 361-380. https://doi.org/10.15480/882.1442
  • Shafiq, S. I., Sanin, C., Szczerbicki, E., & Toro, C. (2015). Virtual engineering object/virtual engineering process: a specialized form of cyber physical system for Industrie 4.0. Procedia Computer Science, 60, 1146-1155. https://doi.org/10.1016/j.procs.2015.08.166
  • Shou, Y., Hu, W., Kang, M., Li, Y., & Park, Y. W. (2018). Risk management and firm performance: the moderating role of supplier integration. Industrial Management & Data Systems, 118(7), 1327-1344. https://doi.org/10.1108/IMDS-09-2017-0427
  • Sodhi, M. S. & Tang, C. S. (2012). Managing supply chain risk. Springer Science & Business Media. https://doi.org/10.1007/978-1-4614-3238-8
  • Swink, M., Narasimhan, R., & Wang, C. (2007). Managing beyond the factory walls: effects of four types of strategic integration on manufacturing plant performance. Journal of operations management, 25(1), 148-164. https://doi.org/10.1016/j.jom.2006.02.006
  • Tabachnick. B. G. & Fidell. Linda S. (2013). Using multivariate statistics. 7. Baskı, Pearson Education, Boston, ABD.
  • Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach's alpha. International journal of medical education, 2, 53-55. https://doi.org/10.5116%2Fijme.4dfb.8dfd
  • Terjesen, S., Patel, P. C., & Sanders, N. R. (2012). Managing differentiation‐integration duality in supply chain integration. Decision Sciences, 43(2), 303-339. https://doi.org/10.1111/j.1540-5915.2011.00345.x
  • Tsang, L., Kracov, D. A., Mulryne, J., Strom, L., Perkins, N., Dickinson, R., ... & Jones, B. (2017). The impact of artificial intelligence on medical innovation in the European Union and United States. Intellect Prop Technol Law J, 29(8), 3-12.
  • Tse, Y., Zhang, M., Akhtar, P., & MacBryde, J. (2016), Embracing supply chain agility: An investigation in the electronics industry, Supply Chain Management: An International Journal, 21(1), 140-156. https://doi.org/10.1108/SCM-06-2015-0237
  • Tohanean, D., Toma, S. G., & Dumitru, I. (2018). Organizational performance and digitalization in industry 4.0. The Journal'Emerging Trends in Marketing and Management, 1(1), 282-293.
  • Tummala, R., & Schoenherr, T. (2011). Assessing and managing risks using the supply chain risk management process (SCRMP). Supply Chain Management: An International Journal, 16(6). 474–483. https://doi.org/10.1108/13598541111171165
  • Vaske, J. J., Beaman, J., & Sponarski, C. C. (2017). Rethinking internal consistency in Cronbach's alpha. Leisure sciences, 39(2), 163-173. https://doi.org/10.1080/01490400.2015.1127189
  • Vendrell-Herrero, F., Bustinza, O. F., Parry, G., & Georgantzis, N. (2017). Servitization, digitization and supply chain interdependency. Industrial Marketing Management, 60, 69-81. https://doi.org/10.1016/j.indmarman.2016.06.013
  • 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
  • Vishnu, C. R., Sridharan, R., & Kumar, P. R. (2019). Supply chain risk management: models and methods. International Journal of Management and Decision Making, 18(1), 31-75. https://doi.org/10.1504/IJMDM.2019.096689
  • Wei, S., Yin, J., & Chen, X. (2021). Paradox of supply chain integration and firm performance: The moderating roles of distributive and procedural justice. Decision Sciences, 52(1), 78-108. https://doi.org/10.1111/deci.12438
  • Wieland, A., & Wallenburg, C. M. (2012). Dealing with supply chain risks: Linking risk management practices and strategies to performance. International Journal of Physical Distribution & Logistics Management, 42(10). 887–905. https://doi.org/10.1108/09600031211281411
  • Yildiz, B., & Sayin, B. (2020). Tedarik zinciri müşteri entegrasyonunun firma performansı üzerindeki etkisinde ürün inovasyon kapasitesinin aracı rolü. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(1), 319-348. https://doi.org/10.18074/ckuiibfd.683723
Toplam 74 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Yazarlar

Alparslan Oğuz 0000-0003-1920-5674

Selçuk Perçin 0000-0002-5840-7204

Yayımlanma Tarihi 27 Aralık 2022
Gönderilme Tarihi 18 Şubat 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 40 Sayı: 4

Kaynak Göster

APA Oğuz, A., & Perçin, S. (2022). TEDARİK ZİNCİRİ ENTEGRASYONU VE DİJİTALLEŞMENİN PERFORMANSA ETKİSİ: ALICI-TEDARİKÇİ RİSK YÖNETİMİNİN ARACILIK ROLÜ. Hacettepe Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 40(4), 837-860. https://doi.org/10.17065/huniibf.1075767
AMA Oğuz A, Perçin S. TEDARİK ZİNCİRİ ENTEGRASYONU VE DİJİTALLEŞMENİN PERFORMANSA ETKİSİ: ALICI-TEDARİKÇİ RİSK YÖNETİMİNİN ARACILIK ROLÜ. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. Aralık 2022;40(4):837-860. doi:10.17065/huniibf.1075767
Chicago Oğuz, Alparslan, ve Selçuk Perçin. “TEDARİK ZİNCİRİ ENTEGRASYONU VE DİJİTALLEŞMENİN PERFORMANSA ETKİSİ: ALICI-TEDARİKÇİ RİSK YÖNETİMİNİN ARACILIK ROLÜ”. Hacettepe Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi 40, sy. 4 (Aralık 2022): 837-60. https://doi.org/10.17065/huniibf.1075767.
EndNote Oğuz A, Perçin S (01 Aralık 2022) TEDARİK ZİNCİRİ ENTEGRASYONU VE DİJİTALLEŞMENİN PERFORMANSA ETKİSİ: ALICI-TEDARİKÇİ RİSK YÖNETİMİNİN ARACILIK ROLÜ. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 40 4 837–860.
IEEE A. Oğuz ve S. Perçin, “TEDARİK ZİNCİRİ ENTEGRASYONU VE DİJİTALLEŞMENİN PERFORMANSA ETKİSİ: ALICI-TEDARİKÇİ RİSK YÖNETİMİNİN ARACILIK ROLÜ”, Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, c. 40, sy. 4, ss. 837–860, 2022, doi: 10.17065/huniibf.1075767.
ISNAD Oğuz, Alparslan - Perçin, Selçuk. “TEDARİK ZİNCİRİ ENTEGRASYONU VE DİJİTALLEŞMENİN PERFORMANSA ETKİSİ: ALICI-TEDARİKÇİ RİSK YÖNETİMİNİN ARACILIK ROLÜ”. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 40/4 (Aralık 2022), 837-860. https://doi.org/10.17065/huniibf.1075767.
JAMA Oğuz A, Perçin S. TEDARİK ZİNCİRİ ENTEGRASYONU VE DİJİTALLEŞMENİN PERFORMANSA ETKİSİ: ALICI-TEDARİKÇİ RİSK YÖNETİMİNİN ARACILIK ROLÜ. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2022;40:837–860.
MLA Oğuz, Alparslan ve Selçuk Perçin. “TEDARİK ZİNCİRİ ENTEGRASYONU VE DİJİTALLEŞMENİN PERFORMANSA ETKİSİ: ALICI-TEDARİKÇİ RİSK YÖNETİMİNİN ARACILIK ROLÜ”. Hacettepe Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, c. 40, sy. 4, 2022, ss. 837-60, doi:10.17065/huniibf.1075767.
Vancouver Oğuz A, Perçin S. TEDARİK ZİNCİRİ ENTEGRASYONU VE DİJİTALLEŞMENİN PERFORMANSA ETKİSİ: ALICI-TEDARİKÇİ RİSK YÖNETİMİNİN ARACILIK ROLÜ. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2022;40(4):837-60.

Dergiye yayımlanmak üzere gönderilecek yazılar Dergi'nin son sayfasında ve Dergi web sistesinde yer alan Yazar Rehberi'ndeki kurallara uygun olmalıdır.


Gizlilik Beyanı

Bu dergi sitesindeki isimler ve e-posta adresleri sadece bu derginin belirtilen amaçları doğrultusunda kullanılacaktır; farklı herhangi bir amaç için veya diğer kişilerin kullanımına açılmayacaktır.