Human-AI Collaboration dan Job Redesign terhadap Adaptabilitas Karyawan pada Fintech di Jakarta

Muhammad Syafri; Edy Suranta Karina Sembiring; Heny Fitriani; Muhammad Abdul Rosid; Fauzan Hakim

doi:10.31004/riggs.v5i2.11917

Authors

Muhammad Syafri Universitas Negeri Makassar
Edy Suranta Karina Sembiring Universitas Primagraha
Heny Fitriani Politeknik PGRI Banten
Muhammad Abdul Rosid Universitas Muhammadiyah Tangerang
Fauzan Hakim Universitas Muhammadiyah Tangerang

DOI:

https://doi.org/10.31004/riggs.v5i2.11917

Keywords:

Kolaborasi Human-AI, Perancangan Ulang Pekerjaan, Kemampuan Beradaptasi Karyawan, Fintech, Jakarta

Abstract

Penelitian ini mengkaji dampak kolaborasi manusia-AI dan perancangan ulang pekerjaan terhadap kemampuan beradaptasi karyawan di sektor fintech di Jakarta. Seiring dengan semakin terintegrasinya teknologi kecerdasan buatan (Artificial Intelligence/AI) ke dalam organisasi fintech, memahami bagaimana faktor-faktor tersebut memengaruhi kemampuan beradaptasi karyawan menjadi semakin penting. Transformasi digital yang berlangsung cepat telah mengubah karakteristik pekerjaan, sehingga organisasi dituntut untuk menciptakan lingkungan kerja yang mampu mendukung kolaborasi yang efektif antara manusia dan AI. Penelitian ini menggunakan pendekatan kuantitatif dengan melibatkan 150 karyawan dari berbagai perusahaan fintech di Jakarta sebagai responden. Data dikumpulkan melalui survei menggunakan kuesioner terstruktur berbasis skala Likert lima poin dan dianalisis menggunakan Structural Equation Modeling berbasis Partial Least Squares (SEM-PLS 3) untuk menguji hubungan antarvariabel. Hasil penelitian menunjukkan bahwa kolaborasi manusia-AI berpengaruh positif dan signifikan terhadap kemampuan beradaptasi karyawan. Perancangan ulang pekerjaan juga memberikan pengaruh positif dan signifikan, dengan tingkat pengaruh yang lebih besar dibandingkan kolaborasi manusia-AI. Selain itu, kolaborasi manusia-AI terbukti berpengaruh positif terhadap perancangan ulang pekerjaan, yang menunjukkan bahwa implementasi AI menjadi pendorong utama transformasi peran dan proses kerja dalam organisasi fintech. Temuan ini menegaskan bahwa keberhasilan penerapan AI tidak hanya bergantung pada adopsi teknologi, tetapi juga pada kemampuan organisasi dalam mendesain ulang pekerjaan agar lebih fleksibel, adaptif, dan berorientasi pada pembelajaran berkelanjutan. Oleh karena itu, perusahaan fintech perlu mengembangkan strategi kolaborasi manusia-AI yang efektif serta melakukan perancangan ulang pekerjaan secara berkelanjutan untuk meningkatkan kemampuan beradaptasi karyawan, produktivitas organisasi, dan daya saing dalam menghadapi dinamika transformasi digital.

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References

1. Abukhait, R., Bani-Melhem, S., & Mohd Shamsudin, F. (2020). Do employee resilience, focus on opportunity, and work-related curiosity predict innovative work behaviour? The mediating role of career adaptability. International Journal of Innovation Management, 24(07), 2050070.

2. Adigun, O. A., Falola, B. O., Esebre, S. D., Wada, I., & Tunde, A. (2024). Enhancing carbon markets with fintech innovations: The role of artificial intelligence and blockchain. World Journal of Advanced Research and Reviews, 23(2).

3. Ahmad, T. (2020). Scenario based approach to re-imagining future of higher education which prepares students for the future of work. Higher Education, Skills and Work-Based Learning. https://doi.org/10.1108/HESWBL-12-2018-0136

4. Akhmetova, R., & Harris, E. (2021). 4. Politics of technology: the use of artificial intelligence by US and Canadian immigration agencies and their impacts on human rights. Digital Identity, Virtual Borders and Social Media: A Panacea for Migration Governance?, 52.

5. Ashta, A., & Herrmann, H. (2021). Artificial intelligence and fintech: An overview of opportunities and risks for banking, investments, and microfinance. Strategic Change, 30(3), 211–222.

6. Chandani, A., Mehta, M., Mall, A., & Khokhar, V. (2016). Employee engagement: A review paper on factors affecting employee engagement. Indian Journal of Science and Technology, 9(15). https://doi.org/10.17485/ijst/2016/v9i15/92145

7. Chatterjee, S., Sreenivasulu, N. S., & Hussain, Z. (2021). Evolution of artificial intelligence and its impact on human rights: from sociolegal perspective. International Journal of Law and Management, 64(2), 184–205.

8. Diamantidis, A. D., & Chatzoglou, P. (2019). Factors affecting employee performance: an empirical approach. International Journal of Productivity and Performance Management, 68(1), 171–193. https://doi.org/10.1108/IJPPM-01-2018-0012

9. Divya, Mathur, A., Mathur, A., & Gupta, V. (2024). Fintech Disruption in Traditional Financial Services: Analyzing the Impact of Fintech Startups on Traditional Banking and Financial Institutions. In The AI Revolution: Driving Business Innovation and Research: Volume 1 (pp. 589–603). Springer.

10. Fisher, E. J. P., & Fisher, E. (2023). A Fresh Look at Ethical Perspectives on Artificial Intelligence Applications and their Potential Impacts at Work and on People. Business and Economic Research, 13(3), 1–22.

11. Hair Jr, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123.

12. Hardani, H. A., Ustiawaty, J., Istiqomah, R. R., Fardani, R. A., Sykmana, D. J., & Auliya, N. H. (2020). Buku metode penelitian kualitatif & kuantitatif. Yogyakarta: CV. Pustaka Ilmu Group.

13. Hill, J., Ford, W. R., & Farreras, I. G. (2015). Real conversations with artificial intelligence: A comparison between human–human online conversations and human–chatbot conversations. Computers in Human Behavior, 49, 245–250.

14. Huang, X., Yang, F., Zheng, J., Feng, C., & Zhang, L. (2023). Personalized human resource management via HR analytics and artificial intelligence: Theory and implications. Asia Pacific Management Review, 28(4), 598–610.

15. Kaavya, S. V., & Reeves, A. G. (2023). A Study on Recruitment and Selection in a Multi-Specialty Hospital. International Journal For Multidisciplinary Research, 5(2), 1–7. https://doi.org/10.36948/ijfmr.2023.v05i02.2672

16. Khang, A., Misra, A., Gupta, S. K., & Shah, V. (2023). AI-Aided IoT Technologies and Applications for Smart Business and Production. books.google.com. https://books.google.com/books?hl=en&lr=&id=7mXjEAAAQBAJ&oi=fnd&pg=PA1989&dq=%22data+driven%22+financial+management&ots=xqyNnI0xTX&sig=hRPpxyLMOrfXmcXcFyYSHuAh-do

17. Maiti, M., & Ghosh, U. (2021). Next generation Internet of Things in fintech ecosystem. IEEE Internet of Things Journal. https://ieeexplore.ieee.org/abstract/document/9367273/

18. Murire, O. T. (2024). Artificial intelligence and its role in shaping organizational work practices and culture. Administrative Sciences, 14(12), 316.

19. Rabbani, M. R., Hassan, M. K., Khan, S., & Moh’d Ali, M. A. (2021). Artificial intelligence and Natural language processing (NLP) based FinTech model of Zakat for poverty alleviation and sustainable development for Muslims in India. In COVID-19 and Islamic Social Finance (pp. 104–114). Routledge.

20. Sabuhari, R., Sudiro, A., Irawanto, D., & Rahayu, M. (2020). The effects of human resource flexibility, employee competency, organizational culture adaptation and job satisfaction on employee performance. Management Science Letters, 10(8), 1775–1786.

21. Samala, N., Katkam, B. S., Bellamkonda, R. S., & Rodriguez, R. V. (2022). Impact of AI and robotics in the tourism sector: a critical insight. Journal of Tourism Futures, 8(1), 73–87. https://doi.org/10.1108/JTF-07-2019-0065

22. Sharma, S., Tiwari, A. K., & Nasreen, S. (2022). Are FinTech, Robotics, and Blockchain index funds providing diversification opportunities with emerging markets? Lessons from pre and postoutbreak of COVID-19. Electronic Commerce Research, 1–30.

23. Teo, E. (2021). Introduction to blockchain smart contracts and programming with solidity for Ethereum. In Blockchain and Smart Contracts: Design Thinking and Programming for FinTech (pp. 189–216). World Scientific.

24. Tolmeijer, S., Christen, M., Kandul, S., Kneer, M., & Bernstein, A. (2022). Capable but amoral? Comparing AI and human expert collaboration in ethical decision making. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 1–17.