Balancing digital transformation and financial performance: An empirical study of IT investments in the education sector
Keywords:
IT/software investment, firm performance, education sector, multivariate regression, financial characteristics, Newey-West estimationAbstract
This study examines the impact of IT/software expenditure on financial performance within the education sector, where digital transformation is increasingly central to institutional sustainability. Utilizing panel data comprising 155 firm-year observations from academic institutions over the period 2020–2024, the analysis employs a multivariate regression framework estimated via Ordinary Least Squares (OLS) with Newey-West heteroskedasticity- and autocorrelation-consistent standard errors to address potential econometric concerns. The empirical results reveal a significant negative association between IT/software investment and financial outcome, indicating that technology investments may impose short-term financial pressures due to substantial upfront costs, implementation challenges, and delayed realization of efficiency gains. In addition, firm size and liquidity exert significant positive effects on performance, while leverage demonstrates a strong negative influence, underscoring the importance of firm-level financial characteristics in shaping institutional outcomes. The findings suggest that while IT/software adoption is critical for long-term competitiveness and academic innovation, its successful financial translation depends on strategic alignment, financial capacity, and robust governance. This research contributes to the expanding literature on IT investment and financial outcomes in higher education and offers practical implications for institutional leaders and policymakers in developing sustainable digital transformation strategies.
References
Agrawal, A., Gans, J. S., & Goldfarb, A. (2019). Exploring the impact of artificial intelligence: Prediction versus judgment. Information Economics and Policy, 47, 1-6.
Alfalah, A. A., Muneer, S., & Hussain, M. (2022). An empirical investigation of firm performance through corporate governance and information technology investment with mediating role of corporate social responsibility: Evidence from Saudi Arabia telecommunication sector. Frontiers in Psychology, 13, 959406.
Almarashdeh, I. (2016). Sharing instructors experience of learning management system: A technology perspective of user satisfaction in distance learning course. Computers in Human Behavior, 63, 249-255.
Arbaugh, J. B. (2000). Virtual classroom characteristics and student satisfaction with internet-based MBA courses. Journal of management education, 24(1), 32-54.
Barro, S., & Davenport, T. H. (2019). People and machines: Partners in innovation. MIT Sloan Management Review, 60(4), 22-28.
Bharadwaj, A. S. (2000). A resource-based perspective on information technology capability and firm performance: an empirical investigation. MIS quarterly, 169-196.
Brynjolfsson, E., & Hitt, L. (1996). Paradox lost? Firm-level evidence on the returns to information systems spending. Management science, 42(4), 541-558.
Brynjolfsson, E., & Hitt, L. M. (1998). Beyond the productivity paradox. Communications of the ACM, 41(8), 49-55.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & company.
Dedrick, J., Gurbaxani, V., & Kraemer, K. L. (2003). Information technology and economic performance: A critical review of the empirical evidence. ACM Computing Surveys (CSUR), 35(1), 1-28.
Hanushek, E. A., & Woessmann, L. (2015). The economic impact of educational quality. In Handbook of international development and education (pp. 6-19). Edward Elgar Publishing.
Jardak, M. K., & Ben Hamad, S. (2022). The effect of digital transformation on firm performance: evidence from Swedish listed companies. The Journal of Risk Finance, 23(4), 329-348.
Lee, H., Choi, H., Lee, J., Min, J., & Lee, H. (2016). Impact of IT investment on firm performance based on technology IT architecture. Procedia Computer Science, 91, 652-661.
Melville, N., Kraemer, K., & Gurbaxani, V. (2004). Information technology and organizational performance: An integrative model of IT business value. MIS quarterly, 283-322.
Mohanty, K. R., Parhi, A., & Subudhi, R. N. (2024). The multifaceted world of integrated reporting: A journey-through theory. Multidisciplinary Reviews, 7(12), 2024280-2024280.
Parhi, A., & Subudhi, R. (2024). Redefining Corporate Accountability: Impact of Shareholder Composition on CSR Expenditure in Indian Firms. Innovative Synergies, 9781003650041-6.
Pedersen, T., Scedrova, A., & Grecu, A. (2022). The effects of IT investments and skilled labor on firms’ value added. Technovation, 116, 102479.
Selwyn, N. (2016). Is technology good for education?. John Wiley & Sons.
Sun, J., & Jiao, H. (2024). Emerging IT investments and firm performance: a perspective of the digital options. Chinese Management Studies, 18(2), 506-525.
Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic management journal, 18(7), 509-533.
Unesco. (2020). Education in a post-COVID world: Nine ideas for public action. International Commission on the Futures of Education.
Van De Wetering, J., Leijten, P., Spitzer, J., & Thomaes, S. (2022). Does environmental education benefit environmental outcomes in children and adolescents? A meta-analysis. Journal of Environmental Psychology, 81, 101782.
Weill, P., & Aral, S. (2006). Generating premium returns on your IT investments. MIT Sloan Management Review.
Zhang, P., & Wang, Y. (2024). Digital transformation: A systematic review and bibliometric analysis from the corporate finance perspective. arXiv preprint arXiv:2412.19817.
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Copyright (c) 2025 Ashutosh Parhi, Jyotirmayee Sahoo, Rajani Agrawalla, Kalee Prasanna Pattanayak

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