Peran Artificial Intelligent (AI) dalam Mempertahankan Keunggulan Kompetitif Bisnis di Era Digital : Sebuah Kajian Literatur
DOI:
https://doi.org/10.58192/profit.v4i1.3044Keywords:
Artificial Intelligence (AI), Competitive Advantage, Digital TransformationAbstract
The rapid development of digital technology has brought significant changes in the business world, requiring companies to innovate and improve operational efficiency in order to maintain competitive advantage. One technology that plays a central role in this transformation is Artificial Intelligence (AI). This article aims to examine the role of AI in business through a comprehensive literature review, exploring the benefits, challenges, and strategies for implementing AI in facing competition in the digital era. AI makes a major contribution to improving operational efficiency through the automation of repetitive tasks (Duan et al., 2019), analyzing large amounts of data for more accurate decision making (Chui et al., 2016), and improving the personalization of customer experiences (Haenlein & Kaplan, 2019). However, the implementation of AI also faces a number of challenges, such as high investment costs, limited expertise, and ethical issues related to data privacy. Recommendations from this study include the importance of investing in workforce training, developing an AI implementation strategy that is aligned with business goals (Bughin et al., 2018), and improving data security to maintain customer trust. This study is expected to provide useful insights for academics and business practitioners in optimizing the use of AI to maintain competitive advantage amidst increasingly tight competition.
References
Agrawal, A., Gans, J., & Goldfarb, A. (2019). Economic policy for artificial intelligence. Innovation Policy and the Economy, 19(1), 139–159. https://doi.org/10.1086/699935
Alexander, T., Amzul, A., Purnomo, S. Y., Gunawan, L., Putera, H., Daeli, D., & Karno, U. B. (2024). Strategi manajemen inovasi dalam mempertahankan daya saing di pasar global, 4(September), 475–482.
Barney, J. B., Ketchen, D. J., & Wright, M. (2021). Resource-based theory and the value creation framework. Journal of Management, 47(7), 1936–1955. https://doi.org/10.1177/01492063211021655
Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital business strategy: Toward a next generation of insights. MIS Quarterly, 37(2), 471–482. https://doi.org/10.4324/9780203109007-5
Bughin, J., Hazan, E., Washington, S. R., Chui, M., Francisco, S., & London, T. A. (2017). Artificial intelligence: The next digital frontier?
Chui, M., Manyika, J., & Miremadi, M. (2016). Where machines could replace humans—and where they can’t (yet). McKinsey Quarterly, July, 1–12.
Davenport, T. H., & Mittal, N. (2023). Stop tinkering with AI. Harvard Business Review, January-February.
Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283–294. https://doi.org/10.1016/j.jbusres.2020.08.019
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of big data: Evolution, challenges and research agenda. International Journal of Information Management, 48, 63–71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., ... Williams, M. D. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice, and policy. International Journal of Information Management, 57, 102243. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. https://doi.org/10.1007/978-3-030-95041-5_6
Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925
Hidayat, R., Kusumasari, I. R., Sophia, Z. A., Rahma, D., & Bisnis, A. (2024). Peran teknologi AI dalam mengoptimalkan pengambilan keputusan dalam pengembangan bisnis, 4.
Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260.
Kaplan, A., & Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63(1), 37–50. https://doi.org/10.1016/j.bushor.2019.09.003
Latifah, D., Subhiyanto, Esthi, A., & Mardiansah, M. A. (2025). Analisis implementasi kecerdasan buatan (artificial intelligence) dalam optimalisasi proses bisnis. Jurnal Sistem Informasi dan Teknologi, 5(1), 90–99.
Loureiro, S. M. C., Guerreiro, J., & Tussyadiah, I. (2021). Artificial intelligence in business: State of the art and future research agenda. Journal of Business Research, 129, 911–926. https://doi.org/10.1016/j.jbusres.2020.11.001
Mateos-Garcia, J. C. (2018). The complex economics of artificial intelligence. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3294552
Meliana, D. (2025). Transformasi digital dalam akuntansi manajemen: Tantangan. Journal of Business Economics and Management, 1(3), 300–305.
Muttaqin, Arafa, M., Kumala Jaya, A., Suryawan, M. A., Banjarnahor, A. R., Bukidz, D. P., Simanjuntak, H. M., & Saputra, N. (2023). Implementasi AI dalam kehidupan. Yayasan Kita Menulis. http://repository.upy.ac.id/4945/1/FullBook
Oktaviani, D., Terisha, F. A., Ayuni, M., Sembiring, T., Lie, W., Yeo, E., & Baloi, M. (2024). Analisis dampak kecerdasan buatan dalam peningkatan efisiensi pemasaran digital di industri e-commerce Indonesia. Jurnal Manajemen dan Bisnis Ekonomi, 2(4), 2985–2990. https://jurnal.itbsemarang.ac.id/index.php/JMBE
Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review. https://hbr.org/
Raharjo, B. (2021). Penerapan artificial intelligence dalam bisnis. Yayasan Prima Agus Teknik. http://penerbit.stekom.ac.id/index.php/yayasanpat/article/view/149
Ririh, K. R., Laili, N., Wicaksono, A., & Tsurayya, S. (2020). Studi komparasi dan analisis SWOT pada implementasi kecerdasan buatan (artificial intelligence) di Indonesia. Jurnal Teknik Industri, 15(2), 122–133.
Rosidin, Novianti, R., Ningsih, K. P., Haryadi, D., Chrisnawati, G., & Anripa, N. (2024). Peran kecerdasan buatan dalam pengembangan sistem otomatisasi proses bisnis. Jurnal Review Pendidikan dan Pengajaran, 7, 9320–9329.
Sandi, Q., Syukuri, A., & Anwar, K. U. S. (2019). Manajemen sumber daya manusia dalam meningkatkan keunggulan kompetitif. Jurnal Kajian Pendidikan Islam dan Studi Islam, 2(2), 63–84. https://ejournal.stainupwr.ac.id/
Septiani, S., Musthofa, & Seviawani, P. (2024). Penggunaan big data untuk personalisasi layanan dalam bisnis e-commerce. ADI Bisnis Digital Interdisiplin Jurnal, 5(1), 51–57. https://doi.org/10.34306/abdi.v5i1.1098
Trotta, A., Ziosi, M., & Lomonaco, V. (2023). The future of ethics in AI: Challenges and opportunities. AI and Society, 38(2), 439–441. https://doi.org/10.1007/s00146-023-01644-x
Yulianti, G., & Santoso, S. (2024). Tantangan dan peluang integrasi kecerdasan buatan generatif dalam praktik manajemen SDM.
