Impact of Artificial Intelligence on Job Transfer and Workforce Adaptation in Start-up Companies in Indonesia

Authors

  • Rully Fildansyah Sanskara Karya Internasional
  • Tera Lesmana Sanskara Karya Internasional

DOI:

https://doi.org/10.58812/asst.v1i01.8

Keywords:

Artificial Intelligence, Job Transfer, Workforce Adaptation, Start-up Companies

Abstract

In the rapidly evolving landscape of the global workforce, Artificial Intelligence (AI) is reshaping industries and job roles. Indonesian start-up companies, known for their agility and innovation, are actively embracing AI. This research aimed to investigate the implications of AI adoption in Indonesian start-ups and its effects on job roles, employee skills, and workforce adaptation. Qualitative data was gathered through interviews with employees and managers in various stages of AI integration. Findings reveal that AI has shifted job roles from routine to complex tasks, highlighting augmentation over automation. Digital literacy, data interpretation, and problem-solving skills emerged as critical attributes. Companies with fully integrated AI actively invested in upskilling and reskilling initiatives, though they encountered challenges related to the cost of training and employee resistance. The "Making Indonesia 4.0" initiative aligns with these findings, emphasizing technology's role in driving economic growth. This research underscores the dynamic relationship between AI integration and workforce adaptation, offering both challenges and opportunities for Indonesian start-up companies.

References

Ashwini, P., & Padhy, P. C. (2023). Impact of AI on Healthcare with Specific Reference to Nurses’ Education. Journal of Advanced Zoology, 44(S-5), 818–829.

Bańka, M., Salwin, M., Kukurba, M., Rychlik, S., Kłos, J., & Sychowicz, M. (2022). Start-Up Accelerators and Their Impact on Sustainability: Literature Analysis and Case Studies from the Energy Sector. Sustainability, 14(20), 13397.

El Hajj, M., & Hammoud, J. (2023). Unveiling the Influence of Artificial Intelligence and Machine Learning on Financial Markets: A Comprehensive Analysis of AI Applications in Trading, Risk Management, and Financial Operations. Journal of Risk and Financial Management, 16(10), 434.

Girasa, R., & Girasa, R. (2020). Applications of AI and Projections of AI Impact. Artificial Intelligence as a Disruptive Technology: Economic Transformation and Government Regulation, 23–67.

Haidine, A., Salmam, F. Z., Aqqal, A., & ... (2021). Artificial intelligence and machine learning in 5G and beyond: a survey and perspectives. … Technologies for 5G and ….

Hasan, A. R. (2021). Artificial Intelligence (AI) in accounting & auditing: A Literature review. Open Journal of Business and Management, 10(1), 440–465.

Herindar, E., Uula, M. M., & Aufa, A. (2022). Does Start-Up Fintech Affect The Profitability Ratio Of Islamic Banks? Case Studies Of Three State-Owned Islamic Banks. Accounting Global Journal, 6(2), 104–123.

Kamran, S. S., Haleem, A., Bahl, S., Javaid, M., Prakash, C., & Budhhi, D. (2022). Artificial intelligence and advanced materials in automotive industry: Potential applications and perspectives. Materials Today: Proceedings, 62, 4207–4214.

Kovács, G. (2020). Combination of Lean value-oriented conception and facility layout design for even more significant efficiency improvement and cost reduction. International Journal of Production Research, 58(10), 2916–2936.

Liu, K. (2022). Research on the core competitiveness of short video industry in the context of big data—a case study of tiktok of bytedance company. In … Journal of Industrial and Business Management. scirp.org.

Munaiseche, M., Saroinsong, T., Rumambi, H. D., Kondoj, M. A. S., Rangkang, J., & Kumaat, A. (2022). Similarity Check: The Concept of Digital Entrepreneurial Ecosystem for SMEs in North Sulawesi, Indonesia. American Journal of Industrial and Business Management, 12(3).

Neary, B., Horák, J., Kovacova, M., & Valaskova, K. (2018). The future of work: Disruptive business practices, technology-driven economic growth, and computer-induced job displacement. Journal of Self-Governance and Management Economics, 6(4), 19–24.

Raji, B. S. (2022). Exploring how artificial intelligence (AI) can support start-ups to manage crisis situations for future sustainable business in the agri-food industry. In Future Role of Sustainable Innovative Technologies in Crisis Management (pp. 192–213). IGI Global.

Rao, D. (2023). The Urgent Need for Healthcare Workforce Upskilling and Ethical Considerations in the Era of AI-Assisted Medicine. Indian Journal of Otolaryngology and Head & Neck Surgery, 1–2.

Sen, W., Xiaomei, Z., & Lin, D. (2022). Impact of Job Demands on Employee Learning: The Moderating Role of Human–Machine Cooperation Relationship. Computational Intelligence and Neuroscience, 2022.

Telaga, A. S., Hartanto, I. D., Audina, D. R., & Prabowo, F. D. (2017). Towards an integration of affiliated companies energy audit process system at PT Astra International. AIP Conference Proceedings, 1855(1).

Tiwari, R. (2023). The Impact of AI and Machine Learning on Job Displacement and Employment Opportunities.

Tosida, E. T., Wahyudin, I., Andria, F., Djatna, T., Ningsih, W. K., & Lestari, D. D. (2020). Business intelligence of indonesian telematics human resource: optimization of customer and internal balanced scorecards. Journal of Southwest Jiaotong University, 55(2).

Volini, E., Schwartz, J., Roy, I., Hauptmann, M., & ... (2019). Leading the social enterprise: Reinvent with a human focus. Deloitte Global Human ….

Weichselbraun, A., Waldvogel, R., Fraefel, A., van Schie, A., & Kuntschik, P. (2022). Building Knowledge Graphs and Recommender Systems for Suggesting Reskilling and Upskilling Options from the Web. Information, 13(11), 510.

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Published

2023-11-07

How to Cite

Fildansyah, R., & Lesmana, T. (2023). Impact of Artificial Intelligence on Job Transfer and Workforce Adaptation in Start-up Companies in Indonesia. Eastasouth Proceeding of Nature, Science, and Technology, 1(01), 15–21. https://doi.org/10.58812/asst.v1i01.8