Talent Management in the Digital Age: Optimizing Employee Potential through Technology
Sari
Talent management telah menjadi fokus utama bagi perusahaan di era digital ini. Dengan berkembangnya teknologi, perusahaan-perusahaan berusaha untuk mengoptimalkan potensi pegawai mereka melalui pemanfaatan teknologi. Selain itu tantangan dan peluang yang dihadapi dalam mengimplementasikan teknologi dalam talent management perlu menjadi perhatian agar mampu memahami secara mendalam bagaimana mengembangkan kemampuan SDM yang tepat untuk menjawab semua hal yang membantu pencapaian tujuan organisasi. Tulisan ini membahas bagaimana talent management telah bertransformasi dalam konteks era digital, dengan mempertimbangkan peran teknologi dalam meningkatkan kinerja dan produktivitas karyawan. Tujuan penelitian ini adalah 1) konsep talent management, 2) perubahan paradigma yang terjadi dalam era digital, 3) dampak teknologi terhadap cara perusahaan mengelola dan mengembangkan bakat karyawan. Beberapa teknologi yang dibahas meliputi sistem manajemen talenta, analitika data untuk pengambilan keputusan, platform e-learning, dan alat kolaborasi digital. Metode yang digunakan pada penelitian ini adalah metode kualitatif khususnya library method, berdasarkan hasil penelitian terdahulu yang relevan dalam lima tahun terakhir dan buku-buku up to date (5 tahun terakhir). Hasil analisis menunjukkan, melalui penerapan teknologi yang tepat, perusahaan dapat mengidentifikasi bakat potensial, mengelola performa karyawan secara efektif, dan meningkatkan keterlibatan serta kepuasan kerja. Namun, tantangan seperti privasi data, keamanan informasi, dan adaptasi organisasi perlu diatasi dengan strategi yang matang. Kesimpulannya, integrasi teknologi dalam talent management dapat membantu perusahaan mengoptimalkan potensi pegawai mereka di era digital ini.
Teks Lengkap:
PDFReferensi
Antonio, L., Sigahi, T. F. A. C., Simon, I., & Leal, W. (2024). International Journal of Information Impacts of digitization on operational efficiency in the banking sector : Thematic analysis and research agenda proposal. International Journal of Information Management Data Insights, 4(1), 100230. https://doi.org/10.1016/j.jjimei.2024.100230
Bany Mohammed, A., Al-Okaily, M., Qaism, D., & Khalaf Al-Majali, M. (2024). Towards an understanding of business intelligence and analytics usage: Evidence from the banking industry. International Journal of Information Management Data Insights, 4(1), 100215. https://doi.org/10.1016/j.jjimei.2024.100215
Cai, Y., Liu, S., & Zhang, X. (2024). The digital economy and job quality: Facilitator or inhibitor? –Evidence from micro-individuals. Heliyon, 10(4), e26536. https://doi.org/10.1016/j.heliyon.2024.e26536
Chen, Y., Pan, X., Liu, P., & Vanhaverbeke, W. (2024). How does digital transformation empower knowledge creation? Evidence from Chinese manufacturing enterprises. Journal of Innovation and Knowledge, 9(2). https://doi.org/10.1016/j.jik.2024.100481
Ding, Y., Shi, Z., Xi, R., Diao, Y., & Hu, Y. (2024). Digital transformation, productive services agglomeration and innovation performance. Heliyon, 10(3). https://doi.org/10.1016/j.heliyon.2024.e25534
Dixit, V. K., Malviya, R. K., Kumar, V., & Shankar, R. (2024). An analysis of the strategies for overcoming digital supply chain implementation barriers. Decision Analytics Journal, 10(November 2023), 100389. https://doi.org/10.1016/j.dajour.2023.100389
Dubey, R., Bryde, D. J., Blome, C., Dwivedi, Y. K., Childe, S. J., & Foropon, C. (2024). Alliances and digital transformation are crucial for benefiting from dynamic supply chain capabilities during times of crisis: A multi-method study. International Journal of Production Economics, 269(August 2023), 109166. https://doi.org/10.1016/j.ijpe.2024.109166
Garay-rondero, C. L., & Ricárdez-estrada, J. (2024). ScienceDirect ScienceDirect ScienceDirect Identifying Identifying Digital Digital Supply Supply Chain Chain Capabilities Capabilities. Procedia Computer Science, 232(2023), 1182–1191. https://doi.org/10.1016/j.procs.2024.01.116
Javaid, M., Haleem, A., Singh, R. P., & Sinha, A. K. (2024). Digital economy to improve the culture of industry 4.0: A study on features, implementation and challenges. Green Technologies and Sustainability, 2(2), 100083. https://doi.org/10.1016/j.grets.2024.100083
Khan, M. R., & Sarkar, U. (2024). Business leadership in the digital age: IKEA’s story in the retail and consumer sector. Green Technologies and Sustainability, 2(2), 100081. https://doi.org/10.1016/j.grets.2024.100081
Kusuma, A. R., Syarief, R., Sukmawati, A., & Ekananta, A. (2024). Factors influencing the digital transformation of sales organizations in Indonesia. Heliyon, 10(5), e27017. https://doi.org/10.1016/j.heliyon.2024.e27017
Lin, B., & Xu, C. (2024). Digital inclusive finance and corporate environmental performance: Insights from Chinese micro, small- and medium-sized manufacturing enterprises. Borsa Istanbul Review, June 2023. https://doi.org/10.1016/j.bir.2024.02.009
Liu, Y., Zeng, N., Papadonikolaki, E., & Chan, P. W. (2024). The future of digitalized project practices through data-savvy talent: A digital competence formation perspective. Project Leadership and Society, 5(December 2023), 100120. https://doi.org/10.1016/j.plas.2024.100120
Lu, L., Yang, S., & Li, Q. (2024). The interaction of digital economy, artificial intelligence and sports industry development –based on China PVAR analysis of provincial panel data. Heliyon, 10(4), e25688. https://doi.org/10.1016/j.heliyon.2024.e25688
Meijerink, J., Fisher, S., McDonnell, A., & Wiblen, S. (2024). Two’s company, platforms make a crowd: Talent identification in tripartite work arrangements in the gig economy. Human Resource Management Review, 34(2), 101011. https://doi.org/10.1016/j.hrmr.2024.101011
Mula, C., Zybura, N., & Hipp, T. (2024). From digitalized start-up to scale-up: Opening the black box of scaling in digitalized firms towards a scaling process framework. Technological Forecasting and Social Change, 202(January), 123275. https://doi.org/10.1016/j.techfore.2024.123275
Nawaz, N., Arunachalam, H., Pathi, B. K., & Gajenderan, V. (2024). The adoption of artificial intelligence in human resources management practices. International Journal of Information Management Data Insights, 4(1), 100208. https://doi.org/10.1016/j.jjimei.2023.100208
Nguyen, N., Dang-Van, T., Vo-Thanh, T., Do, H. N., & Pervan, S. (2024). Digitalization strategy adoption: The roles of key stakeholders, big data organizational culture, and leader commitment. International Journal of Hospitality Management, 117(November 2023), 103643. https://doi.org/10.1016/j.ijhm.2023.103643
Nicola, F., Zangara, G., Maria, A., Cosma, I., Nicola, F., & Zangara, G. (2024). ScienceDirect ScienceDirect Non-Financial Non-Financial Reporting Reporting in in SMEs : SMEs : a a new new approach approach to to measure measure corporate based on employee perception corporate well-being based on employee perception. Procedia Computer Science, 232, 1025–1034. https://doi.org/10.1016/j.procs.2024.01.101
Ranasinghe, T., Grosse, E. H., Glock, C. H., & Jaber, M. Y. (2024). Never too late to learn: Unlocking the potential of aging workforce in manufacturing and service industries. International Journal of Production Economics, 270(August 2023), 109193. https://doi.org/10.1016/j.ijpe.2024.109193
Rigtering, C., Niemand, T., Phan, V., & Gawke, J. (2024). Intrapreneurs, high performers, or hybrid stars? How individual entrepreneurial orientation affects employee performance. Journal of Business Research, 176(April 2023), 114596. https://doi.org/10.1016/j.jbusres.2024.114596
Sala-Vilar, L. R., Li-Ying, J., & Traunecker, T. (2024). How do innovation intermediaries’ business models cope with their need to develop new digital services? Technovation, 131(January). https://doi.org/10.1016/j.technovation.2023.102950
Wang, G., Niu, Y., Mansor, Z. D., Leong, Y. C., & Yan, Z. (2024). Unlocking digital potential: Exploring the drivers of employee dynamic capability on employee digital performance in Chinese SMEs-moderation effect of competitive climate. Heliyon, 10(4), e25583. https://doi.org/10.1016/j.heliyon.2024.e25583
Wang, X., Chen, M., & Chen, N. (2024). How artificial intelligence affects the labour force employment structure from the perspective of industrial structure optimisation. Heliyon, 10(5), e26686. https://doi.org/10.1016/j.heliyon.2024.e26686
DOI: https://doi.org/10.37531/yum.v7i1.6539
Refbacks
- Saat ini tidak ada refbacks.
Ciptaan disebarluaskan di bawah Lisensi Creative Commons Atribusi-BerbagiSerupa 4.0 Internasional