Transformasi Digital dalam MSDM: Peran People Analytics dalam Pengambilan Keputusan Strategis
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Published:
Jun 30, 2024
Keywords:
Transformasi Digital MSDM, people analytic, keputusan strategis SDM, SEM-PLS
Section
Articles
Statistics Article
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Abstract
Penelitian ini bertujuan untuk menganalisis peran people analytics dalam meningkatkan pengambilan keputusan strategis di perusahaan yang mengalami transformasi digital dalam manajemen sumber daya manusia (MSDM). Metode penelitian yang digunakan adalah kuantitatif dengan pendekatan Structural Equation Modeling (SEM-PLS). Jumlah populasi dalam penelitian ini adalah 200 manajer SDM dari berbagai perusahaan yang telah menerapkan transformasi digital, dengan jumlah sampel sebanyak 120 responden yang diambil menggunakan teknik purposive sampling. Data dikumpulkan melalui kuesioner yang disebarkan secara online. Teknik analisis data yang digunakan adalah SEM-PLS untuk menguji hubungan antar konstruk dalam model penelitian. Hasil penelitian menunjukkan bahwa transformasi digital berpengaruh positif terhadap penerapan people analytics dengan nilai path coefficient 0.42, dan people analytics berpengaruh signifikan terhadap pengambilan keputusan strategis dengan nilai path coefficient 0.60. Temuan ini mendukung hipotesis bahwa penerapan teknologi digital dan analisis data dapat meningkatkan kualitas pengambilan keputusan dalam MSDM. Pembahasan menunjukkan bahwa organisasi yang mengintegrasikan teknologi digital dengan people analytics dapat meningkatkan efektivitas keputusan strategis berbasis data. Penelitian ini memberikan wawasan tentang pentingnya penerapan people analytics dalam transformasi digital MSDM untuk mendukung pengambilan keputusan berbasis data yang lebih akurat dan efisien
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References
Ball, K. (2022). Surveillance In The Workplace: Past, Present, And Future. Surveillance And Society, 20(4), 455–461. Https://Doi.Org/10.24908/Ss.V20i4.15805
Bersin, J. (2021). HR Technology 2021: The Definitive Guide. Josh Bersin, 1–95. Http://Www.Joshbersin.Com
Bondarouk, T., & Brewster, C. (2016). Conceptualising The Future Of HRM And Technology Research. The International Journal Of Human Resource Management, 27(21), 2652–2671. Https://Doi.Org/10.1080/09585192.2016.1232296
Bos-Nehles, A. C., & Meijerink, J. G. (2018). HRM Implementation By Multiple HRM Actors: A Social Exchange Perspective. International Journal Of Human Resource Management, 29(22), 3068–3092. Https://Doi.Org/10.1080/09585192.2018.1443958
De-Arteaga, M., Feuerriegel, S., & Saar-Tsechansky, M. (2022). Algorithmic Fairness In Business Analytics : Directions For Research And Practice.
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison Of Convenience Sampling And Purposive Sampling. American Journal Of Theoretical And Applied Statistics, 5(1), 1–4. Https://Doi.Org/10.11648/J.Ajtas.20160501.11
Gao, H. (2024). The Reform Of Human Resource Management In Enterprise Digital Transformation. SHS Web Conf., 181, 1–5. Https://Doi.Org/10.1051/Shsconf/202418104026
Ginting, S., Diantoro, K., Cindrakasih, R. R., Mubarak, R., & Suseno. (2024). The Impact Of Digital Transformation On Talent Recruitment Strategies In Modern Human Resource Management. Jurnal Minfo Polgan, 12(2), 2833–2840. Https://Doi.Org/10.33395/Jmp.V12i2.13410
Hair, J. F., M. Ringle, C., M. Hult, G. T., & Sarstedt, M. (2022). A Primer On Partial Least Squares Structural Equation Modeling. In Sage. SAGE Publications. Https://Doi.Org/10.1016/J.Lrp.2013.01.002
Hinings, B., Gegenhuber, T., & Greenwood, R. (2018). Digital Innovation And Transformation: An Institutional Perspective. Information And Organization, 28(1), 52–61. Https://Doi.Org/Https://Doi.Org/10.1016/J.Infoandorg.2018.02.004
Jarrahi, M. H. (2018). Artificial Intelligence And The Future Of Work: Human-AI Symbiosis In Organizational Decision Making. Business Horizons, 61(4), 577–586. Https://Doi.Org/Https://Doi.Org/10.1016/J.Bushor.2018.03.007
Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms At Work: The New Contested Terrain Of Control. Academy Of Management Annals, 14(1), 366–410. Https://Doi.Org/10.5465/Annals.2018.0174
Khajuria, R., Mata, S., Devi, V., Maini, A., Mata, S., Devi, V., Bukhari, S. S., Mata, S., & Devi, V. (2024). UNVEILING THE DISCONNECT : WHY HR ANALYTICS ADOPTION LAGS BEHIND THE RESEARCH BOOM. Academy Of Marketing Studies Journal, 28(6), 1–17.
Lee, M. K., Kusbit, D., Metsky, E., & Dabbish, L. (2015). Working With Machines: The Impact Of Algorithmic And Data-Driven Management On Human Workers. CHI’15:Proceedings Of The 33rd Annual ACM Conference On Human Factors In Computing Systems, 1603–1612. Https://Doi.Org/Https://Doi.Org/10.1145/2702123.270254
Marler, J. H., & Boudreau, J. W. (2017). An Evidence-Based Review Of HR Analytics. The International Journal Of Human Resource Management, 28(1), 3–26. Https://Doi.Org/10.1080/09585192.2016.1244699
Mohlmann, M., & Zalmanson, L. (2017). Hands On The Wheel: Navigating Algorithmic Management And Uber Drivers Autonomy. ICIS 2017: Transforming Society With Digital Innovation, December, 1–17. Https://Www.Researchgate.Net/Publication/319965259_Hands_On_The_Wheel_Navigating_Algorithmic_Management_And_Uber_Drivers%27_Autonomy
Rasmussen, T., & Ulrich, D. (2015). Learning From Practice: How HR Analytics Avoids Being A Management Fad. Organizational Dynamics, 44(3), 236–242. Https://Doi.Org/Https://Doi.Org/10.1016/J.Orgdyn.2015.05.008
Sadeghi, S. (2024). Employee Well-Being In The Age Of AI : Perceptions , Concerns , Behaviors , And Outcomes. Https://Doi.Org/Https://Doi.Org/10.48550/Arxiv.2412.04796
Saunders, M., Lewis, P., & Thornhill, A. (2023). Research Methods For Business Students. In Synthese (Vol. 195, Issue 5). Https://Www.Amazon.Com/Research-Methods-For-Business-Students/Dp/1292208783/Ref=Sr_1_2?Dchild=1&Qid=1614706531&Refinements=P_27%3aadrian+Thornhill+%2F+Philip+Lewis+%2F+Mark+N.+K.+Saunders&S=Books&Sr=1-2&Text=Adrian+Thornhill+%2F+Philip+Lewis+%2F+Mark+N.+K
Scott, W. R. (2001). Institutions And Organizations. Sage.
Scott, W. R. (2008). Institutions And Organizations : Ideas And Interests. In Sage (3rd Ed). Sage Publications. Https://Doi.Org/LK - Https://Worldcat.Org/Title/131068683
Teece, D. J. (2007). Explicating Dynamic Capabilities:The Nature And Microfoundations Of (Sustainable) Enterprise Performance. Strategic Management Journal, 28(June), 1319–1350. Https://Doi.Org/10.1002/Smj.640
Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic Capabilities And Strategic Management. Strategic Management Journal, 18(7), 509–533. Http://Www.Jstor.Org/Stable/3088148
Trist, E. (1981). The Evolution Of Socio-Technical System (Issue Juni). Ontario Ministry Of Labour. Https://Ia800202.Us.Archive.Org/21/Items/39120320010110/39120320010110.Pdf
Varrier, R., & Mullick, S. (2020). Drive Change From Within Gear Your Workplace For More. In Infosys:Knowledge Institute. Https://Www.Infosys.Com/Services/Microsoft-Cloud-Business/Insights/Documents/Workplace-Transformation-Research-Study.Pdf
Wang, L., Zhou, Y., Sanders, K., Marler, J. H., & Zou, Y. (2024). Determinants Of Effective HR Analytics Implementation: An In-Depth Review And A Dynamic Framework For Future Research. Journal Of Business Research, 170. Https://Doi.Org/Https://Doi.Org/10.1016/J.Jbusres.2023.114312
https://www.digital-adoption.com/digital-transformation-statistics/
https://publications.insight222.com/peopleanalyticstrends2024
https://explodingtopics.com/blog/digital-transformation-stats
Bersin, J. (2021). HR Technology 2021: The Definitive Guide. Josh Bersin, 1–95. Http://Www.Joshbersin.Com
Bondarouk, T., & Brewster, C. (2016). Conceptualising The Future Of HRM And Technology Research. The International Journal Of Human Resource Management, 27(21), 2652–2671. Https://Doi.Org/10.1080/09585192.2016.1232296
Bos-Nehles, A. C., & Meijerink, J. G. (2018). HRM Implementation By Multiple HRM Actors: A Social Exchange Perspective. International Journal Of Human Resource Management, 29(22), 3068–3092. Https://Doi.Org/10.1080/09585192.2018.1443958
De-Arteaga, M., Feuerriegel, S., & Saar-Tsechansky, M. (2022). Algorithmic Fairness In Business Analytics : Directions For Research And Practice.
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison Of Convenience Sampling And Purposive Sampling. American Journal Of Theoretical And Applied Statistics, 5(1), 1–4. Https://Doi.Org/10.11648/J.Ajtas.20160501.11
Gao, H. (2024). The Reform Of Human Resource Management In Enterprise Digital Transformation. SHS Web Conf., 181, 1–5. Https://Doi.Org/10.1051/Shsconf/202418104026
Ginting, S., Diantoro, K., Cindrakasih, R. R., Mubarak, R., & Suseno. (2024). The Impact Of Digital Transformation On Talent Recruitment Strategies In Modern Human Resource Management. Jurnal Minfo Polgan, 12(2), 2833–2840. Https://Doi.Org/10.33395/Jmp.V12i2.13410
Hair, J. F., M. Ringle, C., M. Hult, G. T., & Sarstedt, M. (2022). A Primer On Partial Least Squares Structural Equation Modeling. In Sage. SAGE Publications. Https://Doi.Org/10.1016/J.Lrp.2013.01.002
Hinings, B., Gegenhuber, T., & Greenwood, R. (2018). Digital Innovation And Transformation: An Institutional Perspective. Information And Organization, 28(1), 52–61. Https://Doi.Org/Https://Doi.Org/10.1016/J.Infoandorg.2018.02.004
Jarrahi, M. H. (2018). Artificial Intelligence And The Future Of Work: Human-AI Symbiosis In Organizational Decision Making. Business Horizons, 61(4), 577–586. Https://Doi.Org/Https://Doi.Org/10.1016/J.Bushor.2018.03.007
Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms At Work: The New Contested Terrain Of Control. Academy Of Management Annals, 14(1), 366–410. Https://Doi.Org/10.5465/Annals.2018.0174
Khajuria, R., Mata, S., Devi, V., Maini, A., Mata, S., Devi, V., Bukhari, S. S., Mata, S., & Devi, V. (2024). UNVEILING THE DISCONNECT : WHY HR ANALYTICS ADOPTION LAGS BEHIND THE RESEARCH BOOM. Academy Of Marketing Studies Journal, 28(6), 1–17.
Lee, M. K., Kusbit, D., Metsky, E., & Dabbish, L. (2015). Working With Machines: The Impact Of Algorithmic And Data-Driven Management On Human Workers. CHI’15:Proceedings Of The 33rd Annual ACM Conference On Human Factors In Computing Systems, 1603–1612. Https://Doi.Org/Https://Doi.Org/10.1145/2702123.270254
Marler, J. H., & Boudreau, J. W. (2017). An Evidence-Based Review Of HR Analytics. The International Journal Of Human Resource Management, 28(1), 3–26. Https://Doi.Org/10.1080/09585192.2016.1244699
Mohlmann, M., & Zalmanson, L. (2017). Hands On The Wheel: Navigating Algorithmic Management And Uber Drivers Autonomy. ICIS 2017: Transforming Society With Digital Innovation, December, 1–17. Https://Www.Researchgate.Net/Publication/319965259_Hands_On_The_Wheel_Navigating_Algorithmic_Management_And_Uber_Drivers%27_Autonomy
Rasmussen, T., & Ulrich, D. (2015). Learning From Practice: How HR Analytics Avoids Being A Management Fad. Organizational Dynamics, 44(3), 236–242. Https://Doi.Org/Https://Doi.Org/10.1016/J.Orgdyn.2015.05.008
Sadeghi, S. (2024). Employee Well-Being In The Age Of AI : Perceptions , Concerns , Behaviors , And Outcomes. Https://Doi.Org/Https://Doi.Org/10.48550/Arxiv.2412.04796
Saunders, M., Lewis, P., & Thornhill, A. (2023). Research Methods For Business Students. In Synthese (Vol. 195, Issue 5). Https://Www.Amazon.Com/Research-Methods-For-Business-Students/Dp/1292208783/Ref=Sr_1_2?Dchild=1&Qid=1614706531&Refinements=P_27%3aadrian+Thornhill+%2F+Philip+Lewis+%2F+Mark+N.+K.+Saunders&S=Books&Sr=1-2&Text=Adrian+Thornhill+%2F+Philip+Lewis+%2F+Mark+N.+K
Scott, W. R. (2001). Institutions And Organizations. Sage.
Scott, W. R. (2008). Institutions And Organizations : Ideas And Interests. In Sage (3rd Ed). Sage Publications. Https://Doi.Org/LK - Https://Worldcat.Org/Title/131068683
Teece, D. J. (2007). Explicating Dynamic Capabilities:The Nature And Microfoundations Of (Sustainable) Enterprise Performance. Strategic Management Journal, 28(June), 1319–1350. Https://Doi.Org/10.1002/Smj.640
Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic Capabilities And Strategic Management. Strategic Management Journal, 18(7), 509–533. Http://Www.Jstor.Org/Stable/3088148
Trist, E. (1981). The Evolution Of Socio-Technical System (Issue Juni). Ontario Ministry Of Labour. Https://Ia800202.Us.Archive.Org/21/Items/39120320010110/39120320010110.Pdf
Varrier, R., & Mullick, S. (2020). Drive Change From Within Gear Your Workplace For More. In Infosys:Knowledge Institute. Https://Www.Infosys.Com/Services/Microsoft-Cloud-Business/Insights/Documents/Workplace-Transformation-Research-Study.Pdf
Wang, L., Zhou, Y., Sanders, K., Marler, J. H., & Zou, Y. (2024). Determinants Of Effective HR Analytics Implementation: An In-Depth Review And A Dynamic Framework For Future Research. Journal Of Business Research, 170. Https://Doi.Org/Https://Doi.Org/10.1016/J.Jbusres.2023.114312
https://www.digital-adoption.com/digital-transformation-statistics/
https://publications.insight222.com/peopleanalyticstrends2024
https://explodingtopics.com/blog/digital-transformation-stats