Influence of AI Technology Integration on the Performance of Telecommunication Projects at MTN Rwanda
DOI:
https://doi.org/10.47604/ijepm.3794Keywords:
Artificial Intelligence Integration, Telecommunication, Project Performance, Process Automation, Real-Time Project Monitoring, Emerging Market, Telecom InfrastructureAbstract
Purpose: This study examined the influence of Artificial Intelligence (AI) technology integration on the performance of telecommunication projects at MTN Rwanda. Specifically, the study assessed how AI-driven technologies contribute to project efficiency, service delivery, cost optimization, and overall project success within the organization.
Methodology: A cross-sectional descriptive research design employing both quantitative and qualitative approaches was adopted to provide a comprehensive analysis of the relationship between AI integration and project performance. Data were collected from MTN Rwanda staff involved in telecommunication project implementation using questionnaires, interviews, and document review.
Findings: The findings revealed that AI technology integration has a strong positive and statistically significant influence on telecommunication project performance, explaining 49.7% of the variation in project outcomes (R² = 0.497, p < 0.001). Regression results further indicated that AI technology integration significantly predicts project performance (β = 0.705, p < 0.001), confirming that increased adoption of AI technologies enhances project effectiveness. The study concludes that AI technology integration is a strategic driver of improved telecommunication project performance at MTN Rwanda.
Unique Contribution to Theory, Practice and Policy: Increased investment in AI infrastructure, workforce digital skills development, and strengthened AI governance frameworks to maximize project performance and sustain competitive advantage in the telecommunications sector.
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References
Adeyemi, T., & Okafor, C. (2022). Artificial intelligence adoption in African telecommunications: Opportunities and challenges. African Journal of Information Systems, 14(2), 45–62.
Alarefi, A. (2024). Artificial intelligence capabilities and business performance: The mediating role of technological readiness and data quality. Journal of Business Research, 172, 114–128.
Al-Emran, M., & Shaalan, K. (2021). Factors influencing the adoption of artificial intelligence in organizations: A review. International Journal of Information Management, 58, 102–134.
Ambrosini, V., & Bowman, C. (2021). Dynamic capabilities and strategic management: A critical review. Journal of Management Studies, 58(4), 1023–1051.
Arroyabe, M. F., Arranz, N., & Fernandez de Arroyabe, J. C. (2024). The role of internal capabilities in AI adoption and firm performance. Technological Forecasting and Social Change, 198, 122–145.
Boateng, G. O., Neilands, T. B., Frongillo, E. A., Melgar-Quiñonez, H. R., & Young, S. L. (2023). Best practices for developing and validating scales for health, social, and behavioral research. Frontiers in Public Health, 11, 112–130.
Brynjolfsson, E., & McAfee, A. (2021). The business of artificial intelligence. Harvard Business Review Press.
Chatterjee, S., Rana, N. P., & Tamilmani, K. (2024). AI adoption and project performance in regulated industries: A capability perspective. International Journal of Information Management, 74, 102–118.
Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, A. (2022). The adoption of AI-based technologies in organizations: A systematic review. Information Systems Frontiers, 24(3), 857–879.
Communications Authority of Kenya. (2023). Annual sector statistics report. Nairobi, Kenya.
Creswell, J. W., & Plano Clark, V. L. (2023). Designing and conducting mixed methods research (4th ed.). Sage Publications.
Davenport, T. H., & Ronanki, R. (2021). Artificial intelligence for the real world. Harvard Business Review, 99(1), 108–116.
Deloitte. (2024). AI-driven transformation in telecommunications. Deloitte Insights.
Eisenhardt, K. M., & Martin, J. A. (2020). Dynamic capabilities: What are they? Strategic Management Journal, 41(8), 1401–1425.
Evans, S., Pearce, C., & Brown, L. (2023). Affordance theory in digital transformation research. Journal of Information Technology, 38(2), 210–225.
Fainshmidt, S., Leng, X., & Smith, K. G. (2022). Measuring dynamic capabilities in technology-intensive firms. Academy of Management Perspectives, 36(3), 412–430.
Field, A. (2022). Discovering statistics using IBM SPSS statistics (6th ed.). Sage Publications.
Gibson, J. J. (2021). The ecological approach to visual perception. Psychology Press.
Gregory, R. W., Henfridsson, O., & Kaganer, E. (2022). Data architecture and AI capability deployment in telecommunications. MIS Quarterly, 46(2), 891–918.
GSMA. (2024). AI in telecom: Global industry report. GSMA Intelligence.
Gupta, M., & Mikalef, P. (2022). Artificial intelligence capability: Conceptualization and measurement. Information & Management, 59(4), 103–123.
Haefner, N., Windeknecht, S., & Wiedemann, C. (2021). Process automation and budget compliance in digital infrastructure projects. Journal of Business Research, 134, 215–228.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2022). Multivariate data analysis (8th ed.). Cengage Learning.
International Telecommunication Union. (2022). AI for telecommunications development report. ITU Publications.
Kamau, P., & Mwangi, J. (2022). AI adoption and telecom project performance in Kenya. East African Journal of Technology, 6(1), 33–49.
Kerzner, H. (2023). Project management: A systems approach to planning, scheduling, and controlling (13th ed.). Wiley.
Ketchen, D. J., & Hult, T. M. (2024). Strategic agility and project timeline management in network deployment. Journal of Operations Management, 70(1), 45–62.
Kothari, C. R. (2020). Research methodology: Methods and techniques (4th ed.). New Age International.
Lambert, H., Otieno, P., & Wang, Y. (2025). AI-enabled clinical decision systems in Kenyan healthcare projects. Health Informatics Journal, 31(1), 1–18.
Leonardi, P. M. (2021). The digital transformation of work. Annual Review of Organizational Psychology and Organizational Behavior, 8, 225–252.
Leonardi, P. M., & Neeley, T. (2022). The digital mindset. Harvard Business School Press.
Lock, D. (2022). Project management (11th ed.). Gower Publishing.
Markus, M. L., & Robey, D. (2023). Information technology and organizational change. Management Science, 69(2), 789–805.
McKinsey & Company. (2025). The state of AI in telecommunications. McKinsey Global Institute.
Meredith, J. R. (2021). Project management: A managerial approach (10th ed.). Wiley.
Microsoft. (2025). AI transformation in telecom industry report. Microsoft Corporation.
Mikalef, P., & Gupta, M. (2022). AI capability architectures and quality assurance in telecom engineering. Information & Management, 59(5), 103–121.
Mikalef, P., & Gupta, M. (2023). From AI adoption to capability transformation: A dynamic view. Technological Forecasting and Social Change, 188, 122–140.
Ministry of Industry and Information Technology. (2025). China digital infrastructure development report. Government of China.
MTN Group. (2023). Annual integrated report. MTN Group.
Mugabo, J., & Uwimana, A. (2023). Digital transformation and AI adoption in Rwanda. Rwanda Journal of ICT, 5(2), 15–29.
Mugenda, O. M., & Mugenda, A. G. (2018). Research methods: Quantitative and qualitative approaches. ACTS Press.
Munyabarenzi, G., Nsengiyumva, P., & Uwimbabazi, F. (2023). AI adoption challenges in Rwanda. African Journal of Digital Innovation, 4(1), 55–70.
Ndayisaba, J., & Habimana, D. (2024). Telecom project performance in Rwanda. Rwanda Journal of Business Studies, 7(1), 88–105.
Nkosi, T., & Molefe, M. (2021). AI in South African telecommunications. South African Journal of Information Systems, 23(1), 1–12.
Orlikowski, W. J. (2022). Sociomateriality and organizational studies. Organization Studies, 43(5), 789–810.
Project Management Institute. (2023). Pulse of the profession report. PMI.
PwC. (2025). AI and telecom project performance report. PricewaterhouseCoopers.
Research and Markets. (2024). AI in telecommunications global market report. Research and Markets Ltd.
Rwanda Utilities Regulatory Authority. (2024). Annual performance report. Kigali, Rwanda.
Sarker, S., et al. (2023). AI-driven automation in telecommunications. MIS Quarterly Executive, 22(2), 145–162.
Saunders, M., Lewis, P., & Thornhill, A. (2023). Research methods for business students (9th ed.). Pearson.
Taber, K. S. (2021). The use of Cronbach’s alpha. Research in Science Education, 51, 1273–1296.
Taboada Daneshpajouh, A., Toledo, L., & de Vass, T. (2023). AI in project management: A systematic review. International Journal of Project Management, 41(6), 102–120.
Tavakol, M., & Dennick, R. (2021). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55.
Teece, D. J. (2018). Dynamic capabilities as (workable) management systems theory. Journal of Management & Organization, 24(3), 359–368.
Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.
Tornatzky, L., & Fleischer, M. (2023). The processes of technological innovation. Lexington Books.
Turner, J. R. (2023). The handbook of project-based management (5th ed.). McGraw-Hill.
Venkatesh, V., & Bala, H. (2020). Technology acceptance model extensions. MIS Quarterly, 44(1), 273–315.
Wamba, S. F., et al. (2021). Big data analytics and firm performance. Journal of Business Research, 125, 45–60.
Wamuyu, P. K. (2023). AI adoption in Kenyan telecom sector. Information Technology for Development, 29(2), 210–230.
Warner, K. S. R., & Wager, M. (2021). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 54(2), 1–18.
Warner, K. S. R., & Wager, M. (2023). Automation-driven seizing and budget compliance in infrastructure projects. California Management Review, 65(4), 88–112.
World Bank. (2023). Digital development in Africa report. World Bank.
World Bank. (2024). Infrastructure performance in emerging markets. World Bank.
Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper & Row.
Yin, R. K. (2024). Case study research and applications (7th ed.). Sage Publications.
Yoo, Y., Boland, R., Lyytinen, K., & Majchrzak, A. (2022). Organizing for innovation in digital environments. Organization Science, 33(1), 1–15.
Zhang, Y., Li, X., & Wang, H. (2022). AI-enabled project management systems in China. Journal of Engineering and Technology Management, 63, 101–120.
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Copyright (c) 2026 Uwase Jane, Dr. Gitahi Njenga, (PhD)
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