Organizational Policy and AI Productivity between Technology and Human Potential in the Workplace
DOI:
https://doi.org/10.65310/yq3ea387Keywords:
Artificial Intelligence, Human Resources, Organization, Technology, WorkplaceAbstract
This study aims to analyze the effect of Artificial Intelligence (AI) implementation on work productivity and the role of organizational policies in balancing technology integration and human potential development. A quantitative approach was used with a survey method targeting employees in various industrial sectors that have adopted AI technology. The data was analyzed using regression techniques to examine the relationship between variables such as organizational policy, human resource development, organizational culture, and human-AI collaboration on productivity. The results show that AI implementation has a significant effect on increasing work efficiency, but its effectiveness is greatly influenced by adaptive policies, adequate human resource training, and an organizational culture that is inclusive of innovation. This research contributes theoretically to the development of technology and human resource management, as well as providing practical benefits for organizations in designing policies that encourage optimal synergy between humans and technology.
Downloads
References
Acemoglu, D., & Restrepo, P. (2018). Artificial intelligence, automation and work (NBER Working Paper No. 24196). National Bureau of Economic Research. https://doi.org/10.3386/w24196
Al Naqbi, H., Bahroun, Z., & Ahmed, V. (2024). Enhancing work productivity through generative artificial intelligence: A comprehensive literature review. Sustainability, 16(3), Article 1166. https://doi.org/10.3390/su16031166
Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration. Quarterly Journal of Economics, 118(4), 1279–1333. https://doi.org/10.1162/003355303322552801
Berretta, S., Tausch, A., Ontrup, G., Gilles, B., Peifer, C., & Kluge, A. (2023). Defining human–AI teaming the human-centered way: A scoping review and network analysis. Frontiers in Artificial Intelligence, 6, Article 1250725. https://doi.org/10.3389/frai.2023.1250725
Brahmana: Jurnal Penerapan Kecerdasan Buatan. (2024). Pengukuran Risiko Indeks Keamanan Informasi (KAMI) bagian tata kelola Kota XYZ menggunakan framework NIST SP 800-30. Brahmana: Jurnal Penerapan Kecerdasan Buatan, 6(1). https://sinta.kemdiktisaintek.go.id/journals/profile/9245
Brynjolfsson, E., Rock, D., & Syverson, C. (2017). Artificial intelligence and the modern productivity paradox (NBER Working Paper No. 24001). National Bureau of Economic Research. http://www.nber.org/papers/w24001
Czarnitzki, D., Fernández, G. P., & Rammer, C. (2023). Artificial intelligence and firm-level productivity. Journal of Economic Behavior & Organization, 211, 188–205. https://doi.org/10.1016/j.jebo.2023.05.008
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. https://hbr.org/2018/01/artificial-intelligence-for-the-real-world
Davenport, T. H., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48, 24–42. https://doi.org/10.1007/s11747-019-00696-0
Fountaine, T., McCarthy, B., & Saleh, T. (2019). Building the AI-powered organization: Technology isn’t the biggest challenge — culture is. Harvard Business Review, July–August 2019, 62–73. https://hbr.org/2019/07/building-the-ai-powered-organization
Hagemann, V., Hauf, S., Künzler, F., & Mader, C. (2023). Human–AI teams — Challenges for a team-centered AI at work. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2023.1252897
Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49, 30–50. https://doi.org/10.1007/s11747-020-00749-9
International Journal of Artificial Intelligence Research (IJAIR). (2025). The influence of budget system accountability and accountancy professional to evaluation of budget governance. IJAIR, 9(1.1). https://sinta.kemdiktisaintek.go.id/journals/profile/1138
Judijanto, L., Anggoro, Y., Farawowan, F. F., Suroso, A., & Prihadi, D. J. (2025). Revolusi Digital Dalam Manajemen Sumber Daya Manusia: Mengoptimalkan Teknologi Untuk Pengembangan Karyawan Dan Produktivitas Organisasi. Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA), 9(3), 126-146. https://doi.org/10.31955/mea.v9i3.6189
Jurnal Eksplora Informatika. (2024). Implementasi Internet of Things untuk Efisiensi Produksi Industri Manufaktur. Jurnal Eksplora Informatika, 11(2). https://sinta.kemdiktisaintek.go.id
Jurnal Good Governance. (2025). Tantangan kecerdasan buatan dalam implikasi kebijakan pemerintah di Indonesia: Studi literatur. Jurnal Good Governance, 21(1), 51–66. https://doi.org/10.32834/gg.v21i1.889
Jurnal RIGGS: Journal of Artificial Intelligence and Digital Business. (2024). AI-driven personalized design for small enterprises in Indonesia. RIGGS Journal, 8(2). https://sinta.kemdiktisaintek.go.id/journals/google/15050
Mäntymäki, M., Minkkinen, M., Birkstedt, T., & Viljanen, M. (2022). Putting AI ethics into practice: The hourglass model of organizational AI governance. AI & Ethics, 3(4), 901–917. https://doi.org/10.1007/s43681-022-00143-x
Pradana, E., Herawati, A. R., Dwimawanti, I. H., & Maesaroh. (2025). Tantangan kecerdasan buatan dalam implikasi kebijakan pemerintah di Indonesia: Studi literatur. Jurnal Good Governance, 21(1), 51–66. https://doi.org/10.32834/gg.v21i1.889
Putri, A. A., Juliharta, I. G. P. K., & Darmawan, I. M. D. H. (2024). Analisis keamanan sistem informasi menggunakan metode vulnerability assessment pada aplikasi web pemerintah kota X. REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer, 9(1). https://sinta.kemdiktisaintek.go.id/authors/profile/6139850.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Ignatius Wilson, Yosua Petrus Wijaya, Lea Putra Karuna (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
