Effects of Strategic Information Technology Agility on Sustainable Performance of Selected Private Schools in Mombasa County

##plugins.themes.themeTen.article.main##

Firdaus Mohamed Ali
Jackson Wanjau
Ann Maguta

Keywords

Résumé

The rapid advancement of information technology has transformed education by broadening learning, improving administration and ensuring economic sustainability. As the business environment continues to change, schools ought to adopt flexible policies to remain afloat. Research shows that agile institutions that quickly adapt to challenges gain a competitive edge. However, some have not fully adopted information and communication technology (ICT) as part of their activities. Strategic IT agility requires a structured approach in matching technology with institutional goals. For private schools, strategic ICT agility enhances efficiency, decision-making and service delivery. In Kenya, the majority are not in a position to utilize IT agility to their benefit, impacting competitiveness and sustainability. Therefore, this study examines the effects of strategic information technology agility on sustainable performance of selected private schools in Mombasa County. The study was guided by Dynamic Capability theory and Technology Acceptance Model. The study employed a descriptive research design. The research was conducted in private schools in Mombasa County, targeting school administrators, including principals, vice-principals, department heads and administrative staff responsible for institutional management. The target population was 30 best-performing private primary schools in Mombasa County, identified through the Kenya Private Schools Association. Census sampling was used select all 30 schools. to A purposive sampling technique was used, targeting three management staff per school, resulting in a total sample size of 90 respondents. Data was collected using a standardized questionnaire with closed-ended and Likert-scale questions which was piloted to determine reliability and validity. Data was coded into SPSS version 23 and analysed using descriptive and inferential statistics. Findings indicate that private schools in Mombasa County invest in versatile employees and research and development. However, there is limited engagement in acquiring multiskilled talent and continuous improvement in strategic IT agility. Schools moderately adopt IT infrastructure, but retention of skilled IT talent remains low. There was a positive correlation between strategic IT agility factors and private school performance. Organizational (r = 0.387, p = 0.001) and employee-related factors (r = 0.376, p = 0.002) showed the strongest correlations, highlighting the importance of effective leadership, IT-driven decision-making, and a digitally skilled workforce. Technology (r = 0.343, p = 0.000) and market expansion strategies (r = 0.357, p = 0.002) also contributed significantly, while customer-related factors (r = 0.147, p = 0.001) had a weaker impact. The results from this study exemplify that the top schools in the county enhance their strategic information technology agility through acquisition of appropriate information technology. It was also evident that the top schools in the County spend substantial amount of their resources in research and development which goes a long way in helping them create an entirely new product, product line, or service. The study recommends that education institutions in general and private primary schools in particular should enhance information technology agility as it has been found to improve the schools and financial health.

Abstract 335 | PDF (English) Downloads 216

Références

Anchunda, H. Y. (2023). A study and comparison of students’ English language achievement with school type: The case of private and public schools in the Lower Northern Region of Thailand. International Journal of Science Academic Research, 4(7), 5913-5919. https://www.scienceijsar.com/sites/default/files/article-pdf/IJSAR-1659.pdf

Appiah, M. K., Sam, A., Osei-Agyemang, V., & Nsowah, A. (2023). Green culture, environmental innovativeness, green intellectual capital and circular economy implementation behaviour: A sequential mediation model. Cogent Engineering, 10(1). https://www.tandfonline.com/doi/full/10.1080/23311916.2023.2220496

Babbie, E. (2020). The Practice of Social Research (15th ed.). Cengage Learning.

Chaiprasit, S., & Swierczek, F. W. (2011). Competitiveness, globalization and technology development in Thai firms. Competitiveness Review: An International Business Journal, 21(2), 188-204. https://doi.org/10.1108/10595421111117461

Chipeta, C., & Muthinja, M. M. (2018). Financial innovations and bank performance in Kenya: Evidence from branchless banking models. South African Journal of Economic and Management Sciences, 21(1), 1-11.

Chladek, N. (2019). Why you need sustainability in your business strategy. Harvard Business School Online.

Djaja, I., & Arief, M. (2015). The impact of dynamic information technology capability and strategic agility on business model innovation and firm performance on ICT firms. Advanced Science Letters, 21(5), 1225-1229. https://doi.org/10.1166/asl.2015.6105

Doz, Y., & Kosonen, M. (2008). The dynamics of strategic agility: Nokia's rollercoaster experience. California management review, 50(3), 95-118. https://journals.sagepub.com/doi/abs/10.2307/41166447

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 21(3), 719-734. https://link.springer.com/article/10.1007/s10796-017-9774-y

Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10-11), 1105-1121. https://doi.org/10.1002/1097-0266(200010/11)21:10/11%3C1105::AID-SMJ133%3E3.0.CO;2-E

Fahima, K. I. (2023). Strategic Leadership and Competitive Advantage of Equity Bank in Kenya (Doctoral dissertation, University of Nairobi). https://erepository.uonbi.ac.ke/handle/11295/164697

Fiksel, J., & Fiksel, J. R. (2015). Resilient by design: Creating businesses that adapt and flourish in a changing world. Island Press.

Girod, S. J., Birkinshaw, J., & Prange, C. (2023). Business agility: key themes and future directions. California management review, 65(4), 5-21. https://journals.sagepub.com/doi/full/10.1177/00081256231186641

Goldman, S. L., & Nagel, R. N. (1993). Management, technology and agility: the emergence of a new era in manufacturing. International Journal of Technology Management, 8(1-2), 18-38. https://doi.org/10.1504/IJTM.1993.025758

Helfat, C. E., & Martin, J. A. (2015). Dynamic managerial capabilities: Review and assessment of managerial impact on strategic change. Journal of Management, 41(5), 1281-1312. https://journals.sagepub.com/doi/full/10.1177/0149206314561301

Henao, R., & Sarache, W. (2022). Sustainable performance in manufacturing operations: the cumulative approach vs. trade-offs approach. International Journal of Production Economics, 244, 108385. https://doi.org/10.1016/j.ijpe.2021.108385

Hertzog, M. A. (2008). Considerations in determining sample size for pilot studies. Research in nursing & health, 31(2), 180-191. https://erepository.uonbi.ac.ke/handle/11295/105667

Idowu, T. E. (2017). Groundwater Flow and Quality of Coastal Aquifers: Case Study of Mombasa North Coast, Kenya (Doctoral dissertation, MSc Thesis).

Jiao, X., Zhang, P., He, L., & Li, Z. (2023). Business sustainability for competitive advantage: Identifying the role of green intellectual capital, environmental management accounting and energy efficiency. Economic Research-
Ekonomska Istraživanja, 36(2). https://hrcak.srce.hr/file/442714

Kibuine, M. K., Wainaina, G., & Muranga, J. N. (2022). Organizational agility and performance of Chartered Public and Private Universities in Kenya. University of Nairobi https://erepository.uonbi.ac.ke/handle/11295/160843

Kim, S., Kim, B., & Seo, M. (2020). Impacts of sustainable information technology capabilities on information security assimilation: The moderating effects of policy—Technology balance. Sustainability, 12(15), 6139. https://doi.org/10.3390/su12156139

Lengnick-Hall, C. A., & Beck, T. E. (2016). Resilience capacity and strategic agility: Prerequisites for thriving in a dynamic environment. In Resilience Engineering Perspectives, Volume 2 (pp. 61-92). CRC Press. https://www.taylorfrancis.com/chapters/edit/10.1201/9781315244389-12/resilience-capacity-strategic-agility-prerequisites-thriving-dynamic-environment-cynthia-lengnick-hall-tammy-beck

Lin, H. F. (2022). IT resources and quality attributes: The impact on electronic green supply chain management implementation and performance. Technology in Society, 68, 101833. https://doi.org/10.1016/j.techsoc.2021.101833

Lu, Y., & K.(Ram) Ramamurthy. (2011). Understanding the link between information technology capability and organizational agility: An empirical examination. MIS quarterly, 931-954. https://www.jstor.org/stable/41409967

Lu, Y., & Ramamurthy, K. (2011). Understanding the link between information technology capability and organizational agility: An empirical examination. MIS Quarterly, 35(4), 931-954. https://www.jstor.org/stable/41409967

Mavengere, N. B. (2014). Role of information systems for strategic agility in supply chain setting: Telecommunication industry study. Electronic Journal of Information Systems Evaluation, 17(1), pp100-112. https://academic-publishing.org/index.php/ejise/article/view/199

Menza, S. J., & Mange, D. (2020). Analysing the challenges faced by beach management units in managing fisheries stock in Mombasa County, Kenya. International Academic Journal of Social Sciences and Education, 2(2), 137-165.

Miceli, A., Hagen, B., Riccardi, M. P., Sotti, F., & Settembre-Blundo, D. (2021). Thriving, not just surviving in changing times: How sustainability, agility and digitalization intertwine with organizational resilience. Sustainability, 13(4), 2052. https://doi.org/10.3390/su13042052

Muchoki, M. W. (2022). Effect of Strategic Agility on Performance of Construction Firms in Nairobi (Doctoral dissertation, University of Nairobi).

Mugenda, O. M., & Mugenda, A. G. (2003). Research Methods: Quantitative and Qualitative Approaches. Acts Press.
Mwendwa, N. K. (2017). Perception of teachers and principals on ICT integration in the primary school curriculum in Kitui County, Kenya. European Journal of Education Studies.

Nishantinee, S., Saranya, K., Fun, T. Z. J., & Thivayadarshiny, R. (2022). The effect of online learning on student engagement: a study conducted with respect to Malaysian university students (Doctoral dissertation, UTAR). http://eprints.utar.edu.my/4819/

Ordanini, A., & Rubera, G. (2010). How does the application of an IT service innovation affect firm performance? A theoretical framework and empirical analysis on e-commerce. Information & Management, 47(1), 60-67. https://doi.org/10.1016/j.im.2009.10.003

Rasyid, F., & Nuriyah, W. A. (2023, October). Teachers’ Competence in Digital Literacy in The Teaching of English at Islamic Senior High Schools. In Proceeding International Conference on Education (pp. 413-422). https://jurnalfaktarbiyah.iainkediri.ac.id/index.php/proceedings/article/view/1802

Rotich, R. W. (2023). Influence of Organizational Digital Readiness on Digitalization of Secondary Schools in Kipipiri Sub County, Nyandarua County, Kenya (Doctoral dissertation, University of Nairobi). https://erepository.uonbi.ac.ke/handle/11295/164145

Sambamurthy, V., Bharadwaj, A., & Grover, V. (2003). Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms. MIS quarterly, 237-263. https://www.jstor.org/stable/30036530

Saputra, N., Sasanti, N., Alamsjah, F., & Sadeli, F. (2022). Strategic role of digital capability on business agility during COVID-19 era. Procedia Computer Science, 197, 326-33. https://doi.org/10.1016/j.procs.2021.12.147

Stanciu, A. C., Constandache, M., & Condrea, E. (2014). Concerns about the sustainable performance of firm in the context of quality management systems implementation. Procedia-Social and Behavioral Sciences, 131, 340-344. https://doi.org/10.1016/j.sbspro.2014.04.127

Tallon, P. P., & Pinsonneault, A. (2011). Competing perspectives on the link between strategic IT alignment and organizational agility: Insights from a mediation model. MIS Quarterly, 35(2), 463-486. https://www.jstor.org/stable/23044052

Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319-1350. https://doi.org/10.1002/smj.640

Teece, D. J. (2014). The foundations of enterprise performance: Dynamic and ordinary capabilities in an (economic) theory of firms. Academy of Management Perspectives, 28(4), 328-352. https://journals.aom.org/doi/abs/10.5465/amp.2013.0116

Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40-49.

Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management
Journal, 18(7), 509-533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7%3C509::AID-SMJ882%3E3.0.CO;2-Z

Teece, D., Peteraf, M., & Leih, S. (2016). Dynamic capabilities and organizational agility: Risk, uncertainty, and strategy in the innovation economy. California management review, 58(4), 13-35. https://journals.sagepub.com/doi/abs/10.1525/cmr.2016.58.4.13

Tooley, J., & Longfield, D. (2015). The Role and Impact of Private Schools in Developing Countries: A response to the DFID-commissioned" Rigorous Literature Review". Open Ideas.

Tooley, J., Bao, Y., Dixon, P., & Merrifield, J. (2011). School choice and academic performance: Some evidence from developing countries. Journal of School Choice, 5(1), 1-39. https://www.tandfonline.com/doi/abs/10.1080/15582159.2011.548234

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. https://pubsonline.informs.org/doi/abs/10.1287/mnsc.46.2.186.11926

Walter, A.T. (2021). Organizational agility: Ill-defined and somewhat confusing? A systematic literature review and conceptualization. Management Review Quarterly, 71(2), 343-391. https://doi.org/10.1007/s11301-020-00186-6

Wamalwa, F. M., & Burns, J. (2017). Gender and Birth Order Effects on Intra-household Schooling Choices and
Educational Attainments in Kenya.

Wangasa, C. N. (2018). Effect of Strategic Agility on the Performance of Commercial Banks in Kenya (Doctoral
dissertation, University of Nairobi).

Wanjau, J., & Maguta, A. (2024). The Effect of Organization Agility on Organization Performance in the Time of Covid-19: A Case of Universities in Kenya. Journal of Business, Economics and Management Research Studies, 2(1), 1-9. https://blueprintacademicpublishers.com/index.php/JOBEMRS/article/view/82

Winter, S. G. (2003). Understanding dynamic capabilities. Strategic Management Journal, 24(10), 991-995. https://onlinelibrary.wiley.com/doi/abs/10.1002/smj.318

Yarbrough, A. K., & Smith, T. B. (2007). Technology acceptance among physicians: A new take on TAM. Medical Informatics & Decision Making, 7(1), 1-10. https://journals.sagepub.com/doi/abs/10.1177/1077558707305942

Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760-767. https://doi.org/10.1016/j.chb.2010.01.013