STRATEGI PENGEMBANGAN KOMPETENSI DIGITAL SUMBER DAYA MANUSIA DALAM MENGHADAPI TANTANGAN OTOMATISASI PEKERJAAN: SEBUAH KAJIAN LITERATUR SISTEMATIS

Authors

Ipa Hafsiah Yakin Universitas Sebelas April

DOI:

Keywords:

Kompetensi Digital SDM, Strategi Pengembangan, Otomatisasi Pekerjaan, Reskilling, Digcomp

Abstract

Perkembangan pesat teknologi digital dan otomatisasi pekerjaan menuntut organisasi untuk memastikan kesiapan sumber daya manusia (SDM) agar tetap relevan dan kompetitif di era transformasi digital. Penelitian ini bertujuan mengkaji secara mendalam strategi pengembangan kompetensi digital SDM dalam menghadapi tantangan otomatisasi pekerjaan. Jenis penelitian yang digunakan adalah kajian literatur sistematis dengan pendekatan kualitatif. Data diperoleh melalui penelusuran pada tujuh basis data bereputasi internasional Scopus, Web of Science, ScienceDirect, SpringerLink, Emerald Insight, Wiley, dan Taylor & Francis. Seleksi artikel dilakukan dengan teknik purposive sampling berdasarkan kriteria inklusi–eksklusi, kemudian dianalisis secara tematik untuk mengidentifikasi pola konseptual dan hubungan antarvariabel. Hasil kajian menunjukkan bahwa strategi pengembangan kompetensi digital SDM meliputi pembelajaran berbasis teknologi, penguatan budaya belajar digital, dan kemitraan eksternal strategis. Ketiga strategi tersebut berperan penting dalam meningkatkan kompetensi digital yang mencakup kemampuan kognitif, intrapersonal, dan interpersonal, sekaligus memperkuat kesiapan individu dalam beradaptasi terhadap otomatisasi pekerjaan. Kompetensi digital juga terbukti menjadi variabel mediasi yang menghubungkan strategi pengembangan dengan kesiapan adaptif terhadap perubahan teknologi. Implikasi penelitian ini menegaskan pentingnya integrasi kebijakan upskilling dan reskilling berbasis kerangka DigComp, serta pembentukan ekosistem pembelajaran digital yang kolaboratif guna mempercepat kesiapan tenaga kerja menuju era industri cerdas dan ekonomi berbasis kecerdasan buatan.

References

American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). APA Publishing.

Autor, D. H. (2022). The work of the future: Building better jobs in an age of intelligent machines. MIT Press.

Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108

Bawden, D., & Robinson, L. (2020). The dark side of digital literacy: Information overload, anxiety and mental health. Journal of Information Science, 46(1), 1–12. https://doi.org/10.1177/0165551519899890

Becker, G. S. (1993). Human capital: A theoretical and empirical analysis, with special reference to education (3rd ed.). University of Chicago Press.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.

Del Giacco, N., Lardo, A., & Travaglione, A. (2022). Digital transformation and human capital: The role of training and education. Technology in Society, 68, 101901. https://doi.org/10.1016/j.techsoc.2021.101901

Gallardo-Gallardo, E., Dries, N., & Gallo, P. (2023). Human capital in the age of automation: A competence-based approach. Human Resource Management Review, 33(3), 100921. https://doi.org/10.1016/j.hrmr.2022.100921

Hirschi, A. (2018). The fourth industrial revolution: Issues and implications for career research and practice. The Career Development Quarterly, 66(3), 192–204. https://doi.org/10.1002/cdq.12142

Hong, Q. N., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., ... & Pluye, P. (2018). The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Education for Information, 34(4), 285–291. https://doi.org/10.3233/EFI-180221

Kamp, A., & Berkel, R. (2021). Skills for industry 4.0: The challenge of digital transformation. European Journal of Training and Development, 45(9), 758–776. https://doi.org/10.1108/EJTD-03-2021-0038

Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. Keele University Technical Report.

Kitchenham, B., Budgen, D., & Brereton, P. (2015). Evidence-based software engineering and systematic reviews (2nd ed.). CRC Press.

Mazurchenko, A., & Maršíková, K. (2019). Digitally-powered human resource management: Skills and roles in the digital era. Acta Informatica Pragensia, 8(2), 72–87. https://doi.org/10.18267/j.aip.129

Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 1–13. https://doi.org/10.1177/1609406917733847

Okoli, C. (2015). A guide to conducting a systematic literature review of information systems research. Communications of the Association for Information Systems, 37(1), 879–910. https://doi.org/10.17705/1CAIS.03743

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ... & Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71

Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533–544. https://doi.org/10.1007/s10488-013-0528-y

Paul, J., & Rosado-Serrano, A. (2019). Gradual or rapid internationalization? TCCM framework for future research. International Business Review, 28(1), 2–11. https://doi.org/10.1016/j.ibusrev.2018.06.004

Poulose, S., Bhattacharjee, B., & Chakravorty, A. (2024). Determinants and drivers of change for digital transformation and digitalization in human resource management: A systematic literature review and conceptual framework. Management Review Quarterly, 75, 1911–1936. https://doi.org/10.1007/s11301-024-00423-2

Reinhold, S., Laumer, S., & Eckhardt, A. (2021). How digitalization changes human resource management: A qualitative study. European Management Journal, 39(6), 739–751. https://doi.org/10.1016/j.emj.2021.02.001

Sima, V., Gheorghe, I. G., Subić, J., & Nancu, D. (2020). Influences of the Industry 4.0 revolution on human capital development and consumer behavior: A systematic review. Sustainability, 12(10), 4035. https://doi.org/10.3390/su12104035

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

van Laar, E., van Deursen, A. J. A. M., van Dijk, J. A. G. M., & de Haan, J. (2019). 21st-century digital skills: Competence frameworks and the importance of digital problem solving. Computers in Human Behavior, 100, 93–100. https://doi.org/10.1016/j.chb.2019.06.017

van Laar, E., van Deursen, A. J. A. M., van Dijk, J. A. G. M., & de Haan, J. (2020). Determinants of 21st-century digital skills: A systematic literature review. Computers in Human Behavior Reports, 2, 100033. https://doi.org/10.1016/j.chbr.2020.100033

Vuorikari, R., Punie, Y., Carretero Gómez, S., & Van den Brande, L. (2022). DigComp 2.2: The European digital competence framework for citizens. Publications Office of the European Union. https://doi.org/10.2760/115376