THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE INDUSTRIAL SECTOR AND ITS INFLUENCE ON HUMAN RESOURCES IN INDUSTRIAL MANAGEMENT
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Rismaja Putra
Artificial Intelligence (AI) has become a key element in industrial transformation, bringing significant changes in operational processes, management, and innovation. This study aims to explore the role of AI in various industrial sectors, including automation, data analysis, logistics management, and product development. This study uses a descriptive qualitative research method by collecting research data through observation, interviews and literature studies. The results of the study show that the application of AI can increase efficiency, productivity, and the quality of industrial output as a whole. However, on the other hand, the adoption of this technology also has a major impact on human resources (HR). This study found that AI shifts the need for labor from manual skills to technology-based skills, creating the need for reskilling and upskilling. In addition, this shift presents social challenges, such as the potential for structural unemployment due to the reduction of routine job roles. However, AI also opens up new opportunities, such as jobs in data analysis and AI-based system management. This study concludes that the role of AI in industry must be balanced with strategic policies that support HR development, to ensure that this transformation has a positive impact on sustainability. This includes training programs, increasing access to technology, and adapting to changes in the work ecosystem in the digital era.
L. Koh, G. Orzes, and F. (Jeff) Jia, “The fourth industrial revolution (Industry 4.0): technologies disruption on operations and supply chain management,” Int. J. Oper. Prod. Manag., vol. 39, no. 6/7/8, pp. 817–828, Dec. 2019, doi: 10.1108/IJOPM-08-2019-788.
M.-H. Huang and R. T. Rust, “Artificial Intelligence in Service,” J. Serv. Res., vol. 21, no. 2, pp. 155–172, May 2018, doi: 10.1177/1094670517752459.
M. Lee et al., “How to Respond to the Fourth Industrial Revolution, or the Second Information Technology Revolution? Dynamic New Combinations between Technology, Market, and Society through Open Innovation,” J. Open Innov. Technol. Mark. Complex., vol. 4, no. 3, p. 21, Sep. 2018, doi: 10.3390/joitmc4030021.
Y. Duan, J. S. Edwards, and Y. K. Dwivedi, “Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda,” Int. J. Inf. Manage., vol. 48, pp. 63–71, Oct. 2019, doi: 10.1016/j.ijinfomgt.2019.01.021.
S. Sahoo and C.-Y. Lo, “Smart manufacturing powered by recent technological advancements: A review,” J. Manuf. Syst., vol. 64, pp. 236–250, Jul. 2022, doi: 10.1016/j.jmsy.2022.06.008.
M. Javaid, A. Haleem, R. P. Singh, and R. Suman, “Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study,” J. Ind. Integr. Manag., vol. 07, no. 01, pp. 83–111, Mar. 2022, doi: 10.1142/S2424862221300040.
V. S. P. Nimmagadda, “Artificial Intelligence for Real-Time Logistics and Transportation Optimization in Retail Supply Chains: Techniques, Models, and Applications,” J. Mach. Learn. Healthc. Decis. Support, vol. 1, no. 1 SE-Articles, pp. 88–126, Jun. 2021, [Online]. Available: https://medlines.uk/index.php/JMLHDS/article/view/35
A. Saeed, A. Husnain, S. Rasool, A. Yousaf Gill, and A. Amelia, “Healthcare Revolution: How AI and Machine Learning Are Changing Medicine,” J. Res. Soc. Sci. Econ. Manag., vol. 3, no. 3, pp. 824–840, Oct. 2023, doi: 10.59141/jrssem.v3i3.558.
R. Gupta, D. Srivastava, M. Sahu, S. Tiwari, R. K. Ambasta, and P. Kumar, “Artificial intelligence to deep learning: machine intelligence approach for drug discovery,” Mol. Divers., vol. 25, no. 3, pp. 1315–1360, Aug. 2021, doi: 10.1007/s11030-021-10217-3.
M. Adam, M. Wessel, and A. Benlian, “AI-based chatbots in customer service and their effects on user compliance,” Electron. Mark., vol. 31, no. 2, pp. 427–445, Jun. 2021, doi: 10.1007/s12525-020-00414-7.
S.-L. Wamba-Taguimdje, S. Fosso Wamba, J. R. Kala Kamdjoug, and C. E. Tchatchouang Wanko, “Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects,” Bus. Process Manag. J., vol. 26, no. 7, pp. 1893–1924, May 2020, doi: 10.1108/BPMJ-10-2019-0411.
T. Ahmad et al., “Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities,” J. Clean. Prod., vol. 289, p. 125834, Mar. 2021, doi: 10.1016/j.jclepro.2021.125834.
F. T. Tschang and E. Almirall, “Artificial Intelligence as Augmenting Automation: Implications for Employment,” Acad. Manag. Perspect., vol. 35, no. 4, pp. 642–659, Nov. 2021, doi: 10.5465/amp.2019.0062.
E. Ernst, R. Merola, and D. Samaan, “Economics of Artificial Intelligence: Implications for the Future of Work,” IZA J. Labor Policy, vol. 9, no. 1, pp. 1–35, Aug. 2019, doi: 10.2478/izajolp-2019-0004.
Y. K. Dwivedi et al., “Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy,” Int. J. Inf. Manage., vol. 57, p. 101994, Apr. 2021, doi: 10.1016/j.ijinfomgt.2019.08.002.
L. Willcocks, “Robo-Apocalypse cancelled? Reframing the automation and future of work debate,” J. Inf. Technol., vol. 35, no. 4, pp. 286–302, Dec. 2020, doi: 10.1177/0268396220925830.
A. Malik, P. Budhwar, H. Mohan, and S. N. R., “Employee experience –the missing link for engaging employees: Insights from an MNE ’s AI ‐based HR ecosystem,” Hum. Resour. Manage., vol. 62, no. 1, pp. 97–115, Jan. 2023, doi: 10.1002/hrm.22133.
M. R. Frank et al., “Toward understanding the impact of artificial intelligence on labor,” Proc. Natl. Acad. Sci., vol. 116, no. 14, pp. 6531–6539, Apr. 2019, doi: 10.1073/pnas.1900949116.
S. Mihaela, “Improving unemployment rate forecasts at regional level in Romania using Google Trends,” Technol. Forecast. Soc. Change, vol. 155, p. 120026, Jun. 2020, doi: 10.1016/j.techfore.2020.120026.
M. H. Jarrahi, “Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making,” Bus. Horiz., vol. 61, no. 4, pp. 577–586, Jul. 2018, doi: 10.1016/j.bushor.2018.03.007.
N. Nurhayati, “DIGITAL INNOVATION IN HALAL LOGISTICS: AN INDONESIAN CASE STUDY,” Agripreneur J. Pertan. Agribisnis, vol. 12, no. 2, pp. 23–37, Dec. 2023, doi: 10.35335/agripreneur.v12i2.4672.
Wijayanto, Y. Rivai, A. Alvionita, S. W. Wildah, and J. Jushermi, “Evaluation of the Effect of Chatbot in Improving Customer Interaction and Satisfaction in Online Marketing in Indonesia,” West Sci. Bus. Manag., vol. 1, no. 04, pp. 304–310, Sep. 2023, doi: 10.58812/wsbm.v1i04.248.
D. P. T. Siburian, S. D. Hartiyani, A. Wicaksono, and S. Gustina, “Design of a Web-Based E-Commerce Sales System for the Economic Empowerment of Tambak Fish Farmers,” IJID (International J. Informatics Dev., vol. 13, no. 1, pp. 400–417, Jul. 2024, doi: 10.14421/ijid.2024.4440.
P. Helo and Y. Hao, “Artificial intelligence in operations management and supply chain management: an exploratory case study,” Prod. Plan. Control, vol. 33, no. 16, pp. 1573–1590, Dec. 2022, doi: 10.1080/09537287.2021.1882690.
R. Purnamasari, A. I. Hasanudin, R. Zulfikar, and H. Yazid, “Optimizing sustainable growth: Data, policies, and supply chains in Indonesia’s public sector,” Soc. Sci. Humanit. Open, vol. 10, p. 101104, 2024, doi: 10.1016/j.ssaho.2024.101104.
Y. Yusriadi, R. Rusnaedi, N. A. Siregar, S. Megawati, and G. Sakkir, “Implementation of artificial intelligence in Indonesia,” Int. J. Data Netw. Sci., vol. 7, no. 1, pp. 283–294, 2023, doi: 10.5267/j.ijdns.2022.10.005.
R Adimas and T. Nurfitra, “Government-industry synergy key to optimizing AI: Minister Hafid,” antaranews.com, Jakarta, Dec. 04, 2024. [Online]. Available: https://en.antaranews.com/news/336977/government-industry-synergy-key-to-optimizing-ai-minister-hafid
Rolandus N and Kenzu, “Indonesia has potential in AI, semiconductor: Minister Airlangga,” antaranews.com, Jakarta, Sep. 29, 2024. [Online]. Available: https://en.antaranews.com/news/327755/indonesia-has-potential-in-ai-semiconductor-minister-airlangga
M. Fadilurrahman, R. Ramadhani, T. Kurniawan, M. Misnasanti, and S. Shaddiq, “Systematic Literature Review of Disruption Era in Indonesia: The Resistance of Industrial Revolution 4.0,” J. Robot. Control, vol. 2, no. 1, 2021, doi: 10.18196/jrc.2152.
S. M. Indrawati and A. Kuncoro, “Improving Competitiveness Through Vocational and Higher Education: Indonesia’s Vision For Human Capital Development In 2019–2024,” Bull. Indones. Econ. Stud., vol. 57, no. 1, pp. 29–59, Jan. 2021, doi: 10.1080/00074918.2021.1909692.
M. Kadarisman, A. W. Wijayanto, and A. D. Sakti, “Government Agencies’ Readiness Evaluation towards Industry 4.0 and Society 5.0 in Indonesia,” Soc. Sci., vol. 11, no. 8, p. 331, Jul. 2022, doi: 10.3390/socsci11080331.
T.-T. Feng and L.-F. Yang, “Sustainable Development of the Cultural and Creative Industries in the Post-Pandemic Era: A Case Study of the Animation Industry in China,” Sustainability, vol. 16, no. 22, p. 9796, Nov. 2024, doi: 10.3390/su16229796.
S. O. Putri and G. Ginanjar, “Industry 4.0 in Electronics and Automotives Sectors and Its Prospect for Indonesia’s Economic Diplomacy,” in Proceedings of the International Conference on Business, Economic, Social Science and Humanities (ICOBEST 2018), Paris, France: Atlantis Press, 2018. doi: 10.2991/icobest-18.2018.71.
R. Erdayani, M. Afandi, and S. A. Afandi, “Bibliometric Analysis of Open Government: A Study on the Open Government Partnership,” Indo-Fintech Intellectuals J. Econ. Bus., vol. 3, no. 2, pp. 276–294, Sep. 2023, doi: 10.54373/ifijeb.v3i2.180.
R. P. Wadipalapa et al., “An Ambitious Artificial Intelligence Policy in a Decentralised Governance System: Evidence From Indonesia,” J. Curr. Southeast Asian Aff., vol. 43, no. 1, pp. 65–93, Apr. 2024, doi: 10.1177/18681034231226393.
