The Influence of Intellectual Capital on the Performance of Higher Education Institutions: The Mediation Role of Performance Measurement Systems
DOI:
https://doi.org/10.23887/jia.v7i2.51850Keywords:
intellectual capital, performance, performance measurement systemsAbstract
Higher education institutions (HEIs) have a key role in developing a country by improving the quality of human resources. Thus, this study aims to empirically examine the determinants of HEI performance, i.e., intellectual capital and performance measurement systems. This study also investigates the mediating effect of the performance measurement system itself. This quantitative study used a questionnaire survey distributed to private higher education institutions (PHEIs) located in several provinces on Java Island, Indonesia. This study employed a purposive sampling technique with respondents' criteria of structural officials in the financial sector at private higher education institutions (PHEIs) on Java Island. The questionnaire responses obtained were 186 samples, and Partial Least Square was utilized to test the hypothesis. The results exhibited that the performance measurement systems mediated the relationship between intellectual capital and HEI performance. Further, this research contributes theoretically and practically, especially in implementing intellectual capital mobilized in the performance measurement system to improve the performance of HEIs.
References
Asiaei, K., & Bontis, N. (2019). Translating knowledge management into performance: the role of performance measurement systems. Management Research Review.
Asiaei, K., & Jusoh, R. (2017). Using a robust performance measurement system to illuminate intellectual capital. International Journal of Accounting Information Systems, 26, 1-19.
Asiaei, K., Rezaee, Z., Bontis, N., Barani, O., & Sapiei, N. S. (2021a). Knowledge assets, capabilities and performance measurement systems: a resource orchestration theory approach. Journal of Knowledge Management, 25(8), 1947-1976. doi:10.1108/JKM-09-2020-0721
Asiaei, K., Rezaee, Z., Bontis, N., Barani, O., & Sapiei, N. S. (2021b). Knowledge assets, capabilities and performance measurement systems: a resource orchestration theory approach. Journal of Knowledge Management.
Barbosa, S., Vale, J., Teixeira Vale, V., & Castelo Branco, M. (2016). Intellectual capital and performance in higher education organizations. Paper presented at the Proceedings of The International Conference Theory and Application in the Knowledge Economy (TAKE 2016).
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120.
Basri, Y. M. (2013). Mediasi konflik peran dan keadilan prosedural dalam hubungan pengukuran kinerja dengan kinerja manajerial. Jurnal Akuntansi dan Keuangan Indonesia, 10(2), 225-242.
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information systems research, 14(2), 189-217.
Cricelli, L., Greco, M., Grimaldi, M., & Dueñas, L. P. L. (2018). Intellectual capital and university performance in emerging countries: Evidence from Colombian public universities. Journal of Intellectual Capital.
Edvinsson, L., & Malone, M. S. (1997). Intellectual capital: HarperBusiness.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
Gefen, D., & Straub, D. (2005). A practical guide to factorial validity using PLS-Graph: Tutorial and annotated example. Communications of the Association for Information systems, 16(1), 5.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis. Uppersaddle River. Multivariate Data Analysis (5th ed) Upper Saddle River, 5(3), 207-219.
Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European business review.
Hall, M. (2008). The effect of comprehensive performance measurement systems on role clarity, psychological empowerment and managerial performance. Accounting, organizations and society, 33(2-3), 141-163.
Hartono, J., & Abdillah, W. (2009). Konsep dan aplikasi PLS (partial least square) untuk penelitian empiris. Yogyakarta: BPFE.
Helfat, C. E., Finkelstein, S., Mitchell, W., Peteraf, M., Singh, H., Teece, D., & Winter, S. G. (2009). Dynamic capabilities: Understanding strategic change in organizations: John Wiley & Sons.
Istianingsih, I., & Utami, W. (2009). Pengaruh Kepuasan Pengguna Sistem Informasi Terhadap Kinerja Individu. Simposium Nasional Akutansi XII, 1-70.
Jusriadi, E., Rusydi, M., & Muttalib, A. (2018). Konstruksi Dimensi Intellectual Capital Dalam Mendukung Kinerja Dosen Perguruan Tinggi Muhammadiyah di Sulawesi Selatan. BALANCE: Economic, Business, Management and Accounting Journal, 15(02).
Kaplan, R. S., Norton, D. P., & Rugelsjoen, B. (2010). Managing alliances with the balanced scorecard. Harvard business review, 88(1), 114-120.
Lu, W.-M. (2012). Intellectual capital and university performance in Taiwan. Economic Modelling, 29(4), 1081-1089.
Maingot, M., & Zeghal, D. (2008). An analysis of voluntary disclosure of performance indicators by Canadian universities. Tertiary Education and Management, 14(4), 269-283.
Micheli, P., & Mura, M. (2017). Executing strategy through comprehensive performance measurement systems. International Journal of Operations & Production Management.
Nitzl, C. (2016). The use of partial least squares structural equation modelling (PLS-SEM) in management accounting research: Directions for future theory development. Journal of Accounting Literature.
Pratama, B. C., Wibowo, H., & Innayah, M. N. (2019). Intellectual Capital and Firm Performance in ASEAN: The Role of Research and Development. Journal of Accounting and Investment, 20(3), 236-250.
Pratolo, S., Mukti, A. H., & Anwar, M. (2020). Result-based Management Implementation in Higher Education Institution: Determinants and Impact on Performance. Journal of Accounting and Investment, 1(3), 580-601.
Pratolo, S., Sofyani, H., & Anwar, M. (2020). Performance-based budgeting implementation in higher education institutions: Determinants and impact on quality. Cogent Business & Management, 7(1), 1786315.
Secundo, G., Margherita, A., Elia, G., & Passiante, G. (2010). Intangible assets in higher education and research: mission, performance or both? Journal of Intellectual Capital.
Secundo, G., Ndou, V., Del Vecchio, P., & De Pascale, G. (2020). Sustainable development, intellectual capital and technology policies: A structured literature review and future research agenda. Technological Forecasting and Social Change, 153, 119917.
Shehzad, U., Fareed, Z., Zulfiqar, B., Shahzad, F., & Latif, H. S. (2014). The impact of intellectual capital on the performance of universities. European Journal of Contemporary Education, 10(4), 273-280.
Singgih, M. L., & Rahmayanti. (2008). Faktor-faktor yang mempengaruhi kualitas pendidikan pada Perguruan Tinggi. Paper presented at the Prosiding Seminar Nasional Teknoin.
Sirmon, D. G., Hitt, M. A., Ireland, R. D., & Gilbert, B. A. (2011). Resource orchestration to create competitive advantage: Breadth, depth, and life cycle effects. Journal of Management, 37(5), 1390-1412.
Sofyani, H., & Khairunisa, A. (2021). Pengaruh Modal Intelektual terhadap Kinerja Organisasional: Studi pada Konteks Perguruan Tinggi di Indonesia. E-Jurnal Akuntansi, 31(7), 1760-1770.
Sofyani, H., & Nazaruddin, I. (2019). Pengaruh Implementasi Sistem Pengukuran Kinerja Dosen Dan Kejelasan Peran Terhadap Kinerja Dosen: Sebuah Studi Pengujian Efek Mediasi. Jurnal Reviu Akuntansi Dan Keuangan, 9(1), 31-41.
Sveiby, K. E. (1997). The new organizational wealth: Managing & measuring knowledge-based assets: Berrett-Koehler Publishers.
Tjahjadi, B., Soewarno, N., Astri, E., & Hariyati, H. (2019). Does intellectual capital matter in performance management system-organizational performance relationship? Experience of higher education institutions in Indonesia. Journal of Intellectual Capital.
Tseng, K.-A., Lan, Y.-W., Lu, H.-C., & Chen, P.-Y. (2013). Mediation of strategy on intellectual capital and performance. Management Decision.
Vale, J., Branco, M. C., & Ribeiro, J. (2016). Individual intellectual capital versus collective intellectual capital in a meta-organization. Journal of Intellectual Capital.
Vnoučková, L., Urbancová, H., & Smolová, H. (2018). Internal quality process management evaluation in higher education by students. DANUBE: Law, Economics and Social Issues Review, 9(2), 63-80.
Widener, S. K. (2006). Associations between strategic resource importance and performance measure use: The impact on firm performance. Management Accounting Research, 17(4), 433-457.
Wijayani, D. R. (2017). Pengaruh intellectual capital terhadap kinerja keuangan perusahaan publik di Indonesia (studi empiris pada perusahaan manufaktur di BEI 2012-2014). Jurnal Riset Akuntansi Dan Bisnis Airlangga, 2(1).
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