The purpose of this study was to identify the factors that influence the operational performance of PT. Kereta Api Indonesia (Persero) or PT.KAI at Head Office in Indonesia using IPMA analysis on SmartPLS. This research develops theoretical aspects of understanding digitalization in Indonesia, which consists of supply chain capability variables mediating between digitalization and digital connectivity. Additionally, the study explores the roles of digital culture and technological turbulence as moderators influencing operational performance. Then, there is digital connectivity that will affect operational performance. This study uses a quantitative method with data sources derived from surveys through the distribution of online questionnaires to 48 Employees in the Logistics Department. The data analysis technique used is SEM-PLS and IPMA Analysis using SmartPLS software. Digitalization exhibits the greatest impact on operational performance in the presence of a mediating variable, which is the supply chain capability of PT. As supported by the IPMA analysis, KAI (Persero) at the Head Office indicates that digitalization holds the highest performance value compared to other variables—the management of PT. KAI must focus on digital culture, supply chain capability, and technological turbulence in conjunction with digitalization. This approach is crucial to ensure the company implements the Rapid Apps and maintains operational performance consistently. The study is the first study conducted to analyze the factors that influence operational performance in PT. KAI, so that it can be a reference and additional reference on academic knowledge and managerial aspects.
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Calderwood, LaureCalderwood, Lauren Uppink, & Soshkin, M. (2019). T. travel and tourism competitiveness report 2019. W. E. F. . U., & Soshkin, M. (2019). The travel and tourism competitiveness report 2019.
Chen, S., Xu, H., Liu, D., Hu, B., & Wang, H. (2014). A vision of IoT: Applications, challenges, and opportunities with china perspective. IEEE Internet of Things Journal, 1(4), 349–359.
Del Giudice, M., Scuotto, V., Papa, A., Tarba, S. Y., Bresciani, S., & Warkentin, M. (2021). A self?tuning model for smart manufacturing SMEs: Effects on digital innovation. Journal of Product Innovation Management, 38(1), 68–89.
Diez-Olivan, A., Del Ser, J., Galar, D., & Sierra, B. (2019). Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0. Information Fusion, 50, 92–111.
Dody, D., Sany, N., Palupiningsih, P., & Apryadhi, F. (2023). Web-Based Knowledge Management System Application to Improve Employee Activities. JURNAL SISFOTEK GLOBAL, 13(1), 20–27.
Faturrahman, R. G., & Belgiawan, P. F. (n.d.). Proposed Marketing Strategy for Pt. Kereta API Indonesia (Persero) to Increase the Number of Passengers.
Gawer, A. (2021). Digital platforms’ boundaries: The interplay of firm scope, platform sides, and digital interfaces. Long Range Planning, 54(5), 102045.
Helmi, N. (2019). Revolusi industri 4.0 dan pengaruhnya bagi industri di indonesia. Kementerian Pertahanan RI, 30.
Helo, P., Suorsa, M., Hao, Y., & Anussornnitisarn, P. (2014). Toward a cloud-based manufacturing execution system for distributed manufacturing. Computers in Industry, 65(4), 646–656.
Huda, M., & Syifaul, M. L. (2019). Pengaruh Sistem Manajemen Mutu Terhadap Kinerja Operasional Di Pt Waskita Beton Precast. JSMA (Jurnal Sains Manajemen Dan Akuntansi), 11(2), 87–107.
Joewono, T. B., Tarigan, A. K. M., & Susilo, Y. O. (2016). Road-based public transportation in urban areas of Indonesia: What policies do users expect to improve the service quality? Transport Policy, 49, 114–124.
Knell, M. (2021). The digital revolution and digitalized network society. Review of Evolutionary Political Economy, 2(1), 9–25.
Leal-Rodríguez, A. L., Sanchís-Pedregosa, C., Moreno-Moreno, A. M., & Leal-Millán, A. G. (2023). Digitalization beyond technology: Proposing an explanatory and predictive model for digital culture in organizations. Journal of Innovation & Knowledge, 8(3), 100409.
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.
Nadkarni, S., & Prügl, R. (2021). Digital transformation: a review, synthesis and opportunities for future research. Management Review Quarterly, 71, 233–341.
Ogbeibu, S., Emelifeonwu, J., Senadjki, A., Gaskin, J., & Kaivo-oja, J. (2020). Technological turbulence and greening of team creativity, product innovation, and human resource management: Implications for sustainability. Journal of Cleaner Production, 244, 118703.
Patrucco, A. S., Marzi, G., & Trabucchi, D. (2023). The role of absorptive capacity and big data analytics in strategic purchasing and supply chain management decisions. Technovation, 126, 102814.
Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64–88.
Putri, A. P., & Lestari, H. S. (2014). Faktor Spesifik yang Menentukan Kinerja Perusahaan Asuransi yang Terdaftar di Bursa efek Indonesia. E-Journal Manajemen Fakultas Ekonomi, 1(2), 1–20.
Rajala, A., & Hautala-Kankaanpää, T. (2023). Exploring the effects of SMEs’ platform-based digital connectivity on firm performance–the moderating role of environmental turbulence. Journal of Business & Industrial Marketing, 38(13), 15–30.
Rakhmanberdiev, R., Gulamov, A., Masharipov, M., & Umarova, D. (2022). The digitalization of business processes of railway transport of the Republic of Uzbekistan. AIP Conference Proceedings, 2432(1).
Samsuni, S. (2017). Manajemen sumber daya manusia. Al-Falah: Jurnal Ilmiah Keislaman Dan Kemasyarakatan, 17(1), 113–124.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In Handbook of market research (pp. 587–632). Springer.
Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326–349.
Wibowo, A. (2021). Manajemen Perubahan (Change Management). Penerbit Yayasan Prima Agus Teknik, 1–180.
Wilden, R., & Gudergan, S. P. (2015). The impact of dynamic capabilities on operational marketing and technological capabilities: investigating the role of environmental turbulence. Journal of the Academy of Marketing Science, 43, 181–199.
Wong, C. Y., Boon-Itt, S., & Wong, C. W. Y. (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.
Yan, M.-R., Chien, K.-M., & Yang, T.-N. (2016). Green component procurement collaboration for improving supply chain management in the high technology industries: A case study from the systems perspective. Sustainability, 8(2), 105.