Keywords
multiple regression analysis
operation performance
process integration
supply chain management
Abstract
The research aims to determine the influence of supply chain management on the operational performance of the YAMAHA-authorized dealers (YSS) in Bogor and surrounding areas. Respondents to this study were 30 people representing ten YSS. Data collection using questionnaires and analysis using validity test, reliability test, F-test, and multiple regression analysis with the SPSS ver.22. The results of this study indicate that supply chain management has a partial and simultaneous influence on operational performance. Information sharing has a significant effect on operational performance. Long-term relationships have a significant influence on operational performance. Process integration has a significant influence on operational performance, and the delivery system has a significant influence on operational performance at YSS.
References
Alshurideh, M., Kurdi, B., Alzoubi, H., Obeidat, B., Hamadneh, S., & Ahmad, A. (2022). The influence of supply chain partners’ integrations on organizational performance: The moderating role of trust. Uncertain Supply Chain Management, 10(4), 1191-1202. http://dx.doi.org/10.5267/j.uscm.2022.8.009
Batubara, M. H. & Aisyah, S. (2022). Supply chain management strategy for MSMEs in reducing unemployment in Medan City. Journal of Indonesian Management (JIM), 2(3), 405-410.
Epiphaniou, G., Bottarelli, M., Al-Khateeb, H., Ersotelos, N. T., Kanyaru, J., & Nahar, V. (2020). Smart distributed ledger technologies in Industry 4.0: Challenges and opportunities in supply chain management. In Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity (pp. 319-345). Springer, Cham.
Esmaeilian, B., Sarkis, J., Lewis, K., & Behdad, S. (2020). Blockchain for the future of sustainable supply chain management in Industry 4.0. Resources, Conservation and Recycling, 163.
Fatorachian, H. & Kazemi, H. (2021). Impact of Industry 4.0 on supply chain performance. Production Planning & Control, 32(1), 63-81. https://doi.org/10.1080/09537287.2020.1712487
Hahn, G. J. (2020). Industry 4.0: A supply chain innovation perspective. International Journal of Production Research, 58(5), 1425-1441. https://doi.org/10.1080/00207543.2019.1641642
Haudi, H., Rahadjeng, E., Santamoko, R., Putra, R., Purwoko, D., Nurjannah, D., ... & Purwanto, A. (2022). The role of e-marketing and e-CRM on e-loyalty of Indonesian companies during Covid pandemic and digital era. Uncertain Supply Chain Management, 10(1), 217-224. http://dx.doi.org/10.5267/j.uscm.2021.9.006
Fahimnia, B., Sarkis, J., & Talluri, S. (2019). Design and management of sustainable and resilient supply chains. IEEE Transactions on Engineering Management, 66(1), 2-7.
Huo, B., Haq, M. Z. U., & Gu, M. (2021). The impact of information sharing on supply chain learning and flexibility performance. International Journal of Production Research, 59(5), 1411-1434.
Husaini, F. & Hutar, A. N. R. (2022). Analisis faktor kegagalan wirausaha (studi kasus pada usaha kecil menengah). Juremi: Jurnal Riset Ekonomi, 2(1), 119-134.
Ling Piao, A. L., Purwanto, P., & Purnaweni, H. (2022). Model pengolahan limbah pelayanan penerbangan di bandara soekarno-hatta dalam mewujudkan eco-airport. (Doctoral dissertation, Universitas Diponegoro, Semarang).
Naufal, A. A. (2018). Operasional Performance of the Moslem Fashion Industry In Bandung City. 2011.
Negri, M., Cagno, E., Colicchia, C., & Sarkis, J. (2021). Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda. Business Strategy and the Environment, 30(7), 2858-2886. https://doi.org/10.1002/bse.2776
Oktalia, A., Agriffina, J., Ella, M., Cuandra, F., & Laulita, N. B. (2022). Analisis rantai pasok serta sistem ERP dalam kinerja operasional PT Nestle Indonesia. Transekonomika: Akuntansi, Bisnis dan Keuangan, 2(3), 127-144. http://dx.doi.org/10.55047/transekonomika.v2i3.134
Oliveira-Dias, D., Moyano-Fuentes, J., & Maqueira-Marín, J. M. (2022). Understanding the relationships between information technology and lean and agile supply chain strategies: a systematic literature review. Annals of Operations Research, 1-33. https://doi.org/10.1007/s10479-022-04520-x
Panjaitan, N. H., Hasibuan, S. M., & Aisyah, S. (2022). Analisis Supply Chain Management pada Kinerja Perusahaan (Studi pada IKM makanan olahan khas Medan). JIKEM: Jurnal Ilmu Komputer, Ekonomi dan Manajemen, 2(1), 2190-2199.
Pinto, L. (2020). Green supply chain practices and company performance in Portuguese manufacturing sector. Business Strategy and the Environment, 29(5), 1832-1849.
Rabetino, R., Harmsen, W., Kohtamäki, M., & Sihvonen, J. (2018). Structuring servitization-related research. International Journal of Operations & Production Management.
Romanto, F., Handoko, F., & Kiswandono. (2022). Metode Supply Chain Operation Reference (SCOR) sebagai analisis kinerja manajemen rantai pasok di pabrik gula Pandjie. Jurnal Valtech, 5(1), 107–113.
Sianturi, A. T. L. & Oklilas, A. F. (2022). Penerapan teknologi blockchain pada sistem supply chain management yang terintegrasi dengan sensor RFID (Paper Review). Jurnal Sistem Informasi (JSI), 14(1), 2622 - 2634. https://doi.org/10.36706/jsi.v14i1.17129
Yusuf, A. & Soediantono, D. (2022). Supply Chain Management and recommendations for implementation in the defense industry: A literature review. International Journal of Social and Management Studies, 3(3), 63-77. https://doi.org/10.5555/ijosmas.v3i3.142
Zai, I., Hartono, K. S., & Longli, L. (2022). Analisis penerapan enterprise resource planning system Universitas Internasional Batam, Indonesia. Jurnal Global Indonesia Pada UM, 3(1), 19–26.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright (c) 2022 Array