Transformasi digital dalam manajemen rantai pasok: Sebuah tinjauan literatur dan kerangka konseptual
Keywords:
digital transformation, supply chain management, systematic literature review, digital technology, conceptual frameworkAbstract
Digital transformation has fundamentally altered the landscape of supply chain management, compelling organizations to adopt emerging technologies to enhance efficiency, transparency, and competitiveness. This study aims to conduct a systematic literature review on the development of digital transformation in supply chain management and to construct a conceptual framework that can serve as a guide for academics and practitioners. The method employed is a systematic literature review (SLR) following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol. A total of 68 articles from Scopus, Web of Science, and Google Scholar databases published between 2015 and 2024 were thoroughly analyzed. Findings indicate that the adoption of digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, and big data analytics significantly contributes to enhanced supply chain visibility, flexibility, and resilience. The resulting conceptual framework integrates the dimensions of technology, process, people, and strategy as the main pillars of digital supply chain transformation. This research enriches the digital supply chain literature in developing country contexts and provides strategic recommendations for industry practitioners.
References
Büyüközkan, G., & Göçer, F. (2018). Digital supply chain: Literature review and a proposed framework for future research. Computers in Industry, 97, 157–177. https://doi.org/10.1016/j.compind.2018.02.010
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. https://doi.org/10.1108/JMTM-08-2018-0280
Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775–788. https://doi.org/10.1080/09537287.2020.1768450
Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering (Technical Report EBSE-2007-01). Keele University and Durham University.
Lamba, K., & Singh, S. P. (2017). Big data in operations and supply chain management: Current trends and future perspectives. Production Planning & Control, 28(11–12), 877–890. https://doi.org/10.1080/09537287.2017.1336787
Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239–242. https://doi.org/10.1007/s12599-014-0334-4
Min, H. (2017). Artificial intelligence in supply chain management: Theory and applications. International Journal of Logistics Research and Applications, 13(1), 13–39. https://doi.org/10.1080/13675560903287064
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2015). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLOS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117–2135. https://doi.org/10.1080/00207543.2018.1533261
Tiwari, S., Wee, H.-M., & Daryanto, Y. (2018). Big data analytics in supply chain management between 2010 and 2016: Insights to industries. Computers & Industrial Engineering, 115, 319–330. https://doi.org/10.1016/j.cie.2017.11.017
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375
