Hypothesis Test of Human Capital Investment Determinants on Institution’s Performance Using PLS-SEM Approach

  • Farahiyah Akmal Mat Nawi Universiti Teknologi MARA
  • Julaina Baistaman Universiti Teknologi MARA
  • Nur Haslina Ramli Universiti Teknologi MARA
  • Nor Zuriati Amani Ab Rani Universiti Teknologi MARA
  • Dalili Izni Shafie Universiti Teknologi MARA
  • Surti Milarisa, M.Pd Universitas Muhammadiyah Berau
Keywords: Human Capital Investment, Malcom Baldrige, High Education Institute, PLS-SEM & Performance

Abstract

Accelerating the quality of education institutions remains a priority for Malaysian Government as it forms the foundation for building a high caliber talent in the labor market. Focusing on improving the quality of universities one of the main concerns is to develop the human quality through increasing the quality and resilience of human capital as the enabler towards competitive global market. In general, this paper recognizes the findings on the role of human capital investment (HCI) determinants and their significant contribution to institution’s performance. It also emphasizes the roles of HCI in institution's success and survival in a highly competitive business environment as highlighted in The Twelfth Malaysia Plan (2021-2025) and Malaysia Education Blueprint 2015-2025. Human capital strategically contributes to the quality of academics in turn affects issues such as inefficient labor markers in achieving the greater quality of Malaysia's education system specifically. Hence, to analyze the contribution of determinants a theoretical model was constructed underlined by Human Capital Theory, Resource Based View (RBV) and Malcom Baldrige criteria. Then to obtain the feedback a survey consisting of sixty (66) items with a seven (7) Likert scale was used as the measurement instrument to gather the data from 309 lecturers in UiTM. Data then were analyzed using Structural Equation Modelling approach on the SmartPLS3 platform. The result explained coefficient of determination (R2) value of 66.9% suggested that the variance of institution performance could moderately be explained by HCI determinants where knowledge, skill and training positively influenced the performance of the institution.

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References

Alawamleh, M, Ismail, L.B, Aqeel, D & Jamal, J. (2019). The bilateral relationship between human capital investment and innovation in Jordan. Journal of Innovation and Entrepreneurship, Springer, 8(1), 1-17. DOI: https://doi.org/10.1186/s13731-019-0101-3

Becker, G.S. (1964), Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, National Bureau of Economic Research, New York, NY.

Becker, G.S. (2009), Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, University of Chicago Press, Chicago, IL

Bontis, N. (1999) Managing Organizational Knowledge by Diagnosing Intellectual Capital: Framing and Advancing the State of the Field. International Journal of Technology Management, 18, 433-463. DOI: https://doi.org/10.1504/IJTM.1999.002780

Felstead, A., Gallie, D., & Green, F. (2019). The determinants of skills use and work pressure : A Longitudinal Analysis. Retrieved from: https:/ /doi.org/ 10.1177/0143831X16656412 DOI: https://doi.org/10.1177/0143831X16656412

Foster, T. C., Johnson, J. K., Nelson, E. C., & Batalden, P. B. (2007). Using a Malcolm Baldrige framework to understand high-performing clinical microsystems. Quality & safety in health care, 16(5), 334–341. https://doi.org/10.1136/qshc.2006.020685 DOI: https://doi.org/10.1136/qshc.2006.020685

Garson, D. (2016). Partial Least Squares: Regression Structural Equations Models. Statistical Publishing Associates, Asheboro, USA.

Hair, J.F., Sarstedt, M., Hopkins, L. and Kuppelwieser, V.G. (2014). Partial least squares structural Equation Modeling (PLS-SEM): an emerging tool in business research, European Business Review, 26(2), 106-121, doi: 10.1108/EBR-10-2013-0128. DOI: https://doi.org/10.1108/EBR-10-2013-0128

Harris, C.M, Brown, L.W & Spence, M.B (2024). Managing Human Capital in Major League Soccer: An Empirical Study of Internal Development and External Acquisition. Employee Relations. The International Journal 46(2). DOI: https://doi.org/10.1108/ER-06-2023-0299

Hair, J.F., Hult, G.T.M., Ringle, C. and Sarstedt (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Los Angeles, CA, Sage.

Henseler J, Ringle CM, And Sarstedt M (2015). A New Criterion for Assessing Discriminant Validity in Variance- DOI: https://doi.org/10.1007/s11747-014-0403-8

Based Structural Equation Modeling. Journal of The Academy of Marketing Science, 43(1), 115-135.

Hermanu, A.I., Sari, D., Sondari, M.C., & Dimyati, M. (2024). Research Performance Evaluation Model in University: Evidence from Indonesia. International Journal of Educational Management. DOI: https://doi.org/10.1108/IJEM-05-2023-0235

Islam, S.M., & Amin, M. (2021). A Systematic Review Of Human Capital And Employee Well-Being: Putting Human Capital Back on The Track. European Journal of Training and Development. 46(5/6), 504-534 DOI: https://doi.org/10.1108/EJTD-12-2020-0177

Kanter, R. M & Page , G.R (2020). Baldridge 2020: An Executive’s Guide to Criteria for Performance Excellence. National Institute of Standard and Technology. United State.

Kidwell, R.E., Fuentes-Lombardo, G., Sanchez-Famoso, V., Cano-Rubio, M. and Kloepfer, K.E. (2020). Human capital in the internationalization of family firms. Thunderbird International Business Review, 62(2) DOI: https://doi.org/10.1002/tie.22107

Kline, R.B (2011), Principles and Practices of Structural Equation Modelling (2nd ed.). New York, NY: Guilford.

Lenihan, H., Mcguirk, H., & Murphy, K. R. (2019). Driving innovation : public policy and human capital. Research Policy, 48(9), 103791. Available at: https://doi.org/10.1016/j.respol.2019.04.015 DOI: https://doi.org/10.1016/j.respol.2019.04.015

Ngoc, V. (2020). Factors affecting knowledge sharing in enterprises : Evidence from small and medium enterprises. Management Science Letters, 10, 469–478. Retrieved from: https://doi.org/10.5267/j.msl.2019.8.023 DOI: https://doi.org/10.5267/j.msl.2019.8.023

Podsakoff, P. M. and Organ, D. W (1986). Self-reports in Organizational Research: Problems and Prospects. J Manag. 1(4), 531-544 DOI: https://doi.org/10.1177/014920638601200408

Ragoobur, V.T & Narsoo, J. (2022). Early human capital: the driving force to economic growth in island economies, International Journal of Social Economics, 49(11), 1680-1695. DOI: https://doi.org/10.1108/IJSE-11-2021-0674

Schultz, T. W. (1961). Investment in Human Capital. The American Economic Review, 51(1), 1-17. Retrieved from: http://www.jstor.org/pss/1818907

Shortland, S., & Porter, C.M. (2020). Unlocking Inhibitors To Women's Expatriate Careers: Can Job-Related Training Provide A Key? Journal of Global Mobility, 8(1), 85-105. DOI: https://doi.org/10.1108/JGM-10-2019-0051

Spence, M. (1973). Job market signaling, The Quarterly Journal of Economics, 87(3), 355-374. DOI: https://doi.org/10.2307/1882010

Wright, P.M. and McMahan, G.C. (2011). Exploring Human Capital: Putting ‘Human’ back into Strategic Human Resource Management, Human Resource Management Journal, 21(2), 93-104, doi: 10.1111/j.1748-8583.2010.00165.x. DOI: https://doi.org/10.1111/j.1748-8583.2010.00165.x

Zane, L. & DeCarolis, D. (2024). The Connections Between Founders’ Social Network and Human Capital in Technology-Based New Ventures. Entrepreneurship Research Journal, 14(2), 401-432. https://doi.org/10.1515/erj-2020-0550 DOI: https://doi.org/10.1515/erj-2020-0550

Published
2024-10-27
How to Cite
Mat Nawi, F. A., Baistaman, J., Ramli, N. H., Ab Rani, N. Z. A., Shafie, D. I., & M.Pd, S. M. (2024). Hypothesis Test of Human Capital Investment Determinants on Institution’s Performance Using PLS-SEM Approach. Information Management and Business Review, 16(3S(I)a), 680-689. https://doi.org/10.22610/imbr.v16i3S(I)a.4227
Section
Research Paper