Digital Transformation Capability and Artificial Intelligence Adoption: Investigating Their Effects on Organizational Resilience and Sustainable Business Performance in the Manufacturing Industry
DOI:
https://doi.org/10.65310/wbzn4v09Keywords:
digital transformation capability, artificial intelligence adoption, organizational resilience, sustainable business performance, manufacturing industryAbstract
This study examines the effects of digital transformation capability and artificial intelligence adoption on organizational resilience and sustainable business performance in the manufacturing industry. Using a quantitative explanatory design, data were collected through structured questionnaires and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that digital transformation capability positively strengthens organizational resilience by improving process integration, information visibility, organizational flexibility, and data-driven decision-making. Artificial intelligence adoption also contributes significantly to resilience through predictive analytics, automation, risk detection, and faster managerial responses to operational disruptions. Furthermore, organizational resilience exerts a positive influence on sustainable business performance by supporting operational continuity, innovation, resource efficiency, economic stability, and long-term competitiveness. These results highlight organizational resilience as a strategic mechanism through which digital and AI capabilities generate sustainable organizational value. The study contributes to the literature by integrating technological capability, resilience, and sustainability within a unified manufacturing framework. Managerially, the findings suggest that manufacturers should align digital infrastructure, AI implementation, employee competencies, and adaptive capabilities to strengthen resilience and achieve sustainable performance under increasingly dynamic and technology-intensive competitive business environments.
Downloads
References
Agrawal, A., Gans, J. S., & Goldfarb, A. (2024). Artificial intelligence adoption and system‐wide change. Journal of Economics & Management Strategy, 33(2), 327-337. https://doi.org/10.1111/jems.12521
Alquraish, M. (2025). Digital transformation, supply chain resilience, and sustainability: A comprehensive review with implications for Saudi Arabian manufacturing. Sustainability, 17(10), 4495. https://doi.org/10.3390/su17104495
Belhadi, A., Mani, V., Kamble, S. S., Khan, S. A. R., & Verma, S. (2024). Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation. Annals of operations research, 333(2), 627-652.
Dey, P. K., Chowdhury, S., Abadie, A., Vann Yaroson, E., & Sarkar, S. (2024). Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small-and medium-sized enterprises. International Journal of Production Research, 62(15), 5417-5456. https://doi.org/10.1080/00207543.2023.2179859
Djatmika, G. H. (2025). Peran transformasi digital dalam meningkatkan efisiensi operasional pada industri manufaktur di Indonesia. Tartib: Jurnal of Educational Management, 4(1), 56-81. https://doi.org/10.62824/a09k3q22
Hariyono, H., Candra, I. A., Mauliansyah, F., Wahyudin, Y., & Rizal, M. (2024). Transformasi digital: Teori dan implementasi pada era Revolusi Industri 4.0 menuju era Society 5.0. PT. Sonpedia Publishing Indonesia.
He, Q., He, X., Chen, G., Busababodhin, P., & Li, W. (2025). Research on the impact of artificial intelligence on the the manufacturing industry chain resilience. Scientific Reports, 15(1), 33432. https://doi.org/10.1038/s41598-025-18956-1
Julianti, A. Z., & Siregar, H. (2026). Technopreneurship dan Transformasi Digital UMKM: Tinjauan Sistematis Tentang Penerapan AI dalam Pengambilan Keputusan Bisnis. Infomatek, 28(1), 129-144. https://doi.org/10.23969/infomatek.v28i1.39288
Li, J., & Jin, X. (2024). The impact of artificial intelligence adoption intensity on corporate sustainability performance: The moderated mediation effect of organizational change. Sustainability, 16(21), 9350. https://doi.org/10.3390/su16219350
Pertheban, T. R., Thurasamy, R., Marimuthu, A., Venkatachalam, K. R., Annamalah, S., Paraman, P., & Hoo, W. C. (2023). The impact of proactive resilience strategies on organizational performance: Role of ambidextrous and dynamic capabilities of SMEs in manufacturing sector. Sustainability, 15(16), 12665. https://doi.org/10.3390/su151612665
Rashid, A., Rasheed, R., Ngah, A. H., & Amirah, N. A. (2024). Unleashing the power of cloud adoption and artificial intelligence in optimizing resilience and sustainable manufacturing supply chain in the USA. Journal of Manufacturing Technology Management, 35(7), 1329-1353. https://doi.org/10.1108/JMTM-02-2024-0080
Rizana, A. F., Wiratmadja, I. I., & Akbar, M. (2025). Exploring capabilities for digital transformation in the business context: Insight from a systematic literature review. Sustainability, 17(9), 4222. https://doi.org/10.3390/su17094222
Sabău-Popa, C. D., Perțicaș, D. C., Florea, A. G., Hatos, R., & Juma, H. W. (2026). Sustainability-Oriented Digital Transformation Under Industry 4.0: Managerial Perceptions of Digitalization and AI. Sustainability, 18(5), 2570. https://doi.org/10.3390/su18052570
Siagian, S., Siregar, A. R., Jufri, J., & Sabrina, S. (2026). Strategi Dinamis dalam Adopsi Green Artificial Intelligence untuk Meningkatkan Keunggulan Kompetitif Berkelanjutan pada Sektor Manufaktur: Sebuah Tinjauan Literatur Sistematis. Journal of Management and Creative Business, 4(2), 38-50. https://doi.org/10.30640/jmcbus.v4i2.6125
Suarantalla, R. (2026). Eksplorasi Peran Kecerdasan Buatan sebagai Pendorong Kinerja Keuangan dalam Transformasi Digital Berbasis Tinjauan Sistematis atas Metrik dan Dampak Jangka Panjang. Ekopedia: Jurnal Ilmiah Ekonomi, 2(3), 5814-5830. https://doi.org/10.63822/jem9mw94
Umboh, W. E. O. (2025). Transformasi digital dalam manajemen SDM: Studi tentang strategi adaptasi di era AI pada industri perbankan Indonesia. SENTRI: Jurnal Riset Ilmiah, 4(9), 1999-2013. https://doi.org/10.55681/sentri.v4i9.4578
Wahyani, W., & Sain, Z. H. (2025). Peran Artificial Inteligent Dalam Meningkatkan Ketahanan Rantai Pasok Industri. https://doi.org/10.51903/f4j58f47
Wibowo, A. (2024). Riset Kelanggengan Bisnis dalam Ekosistem Digital:(Business Sustainability Research in Digital Ecosystems). Penerbit Yayasan Prima Agus Teknik, 1-266.
Widyoputri, Y. M. F. A., & Avitasari, A. (2026). Empat Pilar Transformasi Digital yang Mengubah Lanskap Bisnis Indonesia Menuju Era Inovasi dan Pertumbuhan Berkelanjutan. Jurnal Ekonomi Manajemen Akuntansi, 32(1), 209-222. https://doi.org/10.59725/ema.v32i1.420
Zhang, G., Wang, X., Xie, J., & Hu, Q. (2024). A mechanistic study of enterprise digital intelligence transformation, innovation resilience, and firm performance. Systems, 12(6), 186. https://doi.org/10.3390/systems12060186
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Fitrahtul Saahira Khairunnisa, Khodijah Asshofiah, Maryam Maryam, Humairourrohmah binti Mastor , Maya Ika Trisnawati (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
