Analysis of the Effect of Digital Technologies on Service Delivery in Centre for Management Development (CMD), Lagos, Nigeria: Issues and Challenges
Keywords:
Digital Communication, Digital Technologies, Digital Technology Adoption, Digital Transformation, Service DeliveryAbstract
The integration of digital technologies in the public sector is essential for improving transparency, speed, and operational efficiency. However, the Nigeria public service has continues to experience service delivery bottlenecks attributed to manual administrative processes. Previous studies in this regard seem not to have address the problem of technological adoption in the Nigeria public service. The study therefore, examines the effect of digital technologies on service delivery in the Nigeria public service; assessing the effect of digital technologies on training effectiveness and research output, and investing the challenges affecting digital technological usage with special reference to Centre for Management Development (CMD). The study adopted a descriptive survey research design using a sample size of 68 participants to obtain data for the study. Data collected were used to answer the research questions and test the three stated hypotheses. Findings of the study reveal a statistically significant relationship between the two variables. Also the study identifies challenges such as poor electricity supply, poor attitude of staff to technological usage and poor network connectivity among others as significant barriers to usage of digital technologies in CMD. The study concludes that the CMD currently operates with moderate-level digitisation and recommends among other factors; role-specific training and investment in alternative power sources to achieve full digital transformation.
References
1. Adewusi, B. A. & Jegede, O. (2025). Macro-level determinants of research output in Nigeria knowledge institutions. A case study of ICT researchers. African Journal of Science, Technology, Innovation and Development, 17(7), 963 – 978.
2. Ahmed, J. U., Talukdar, A., Khan, M. M., Sharif, R., & Ahmed, A. (2023). Flutterwave—A digital payment solution in Nigeria. Journal of Information Technology Teaching Cases, 13(1), 50–57.
https://doi.org/10.1177/20438869211063210.
3. Ajzen, I. (2011). The theory of planned behaviour: Reactions and reflections. Psychology & Health, 26 (9), 1113-1127.
4. Alabi, M. O., Mafimisebi, O. P., & Oladejo, S. O. (2022). The Nexus Between Nigerian Universities’ Entrepreneurship Training and Digital Technology: Influence on Graduates’ New Venture Creations. In The Palgrave Handbook of African Entrepreneurship (pp. 215–238). Springer International Publishing. https://doi.org/10.1007/978-3-030-75894-3_10
5. Al-Emran, M., Arpaci, I., & Salloum, S. A. (2020). An empirical examination of the role of IS success model in E-learning systems. Journal of Enterprise Information Management, 33(5), 1011–1033.
6. Al-Hujran, O., Al-Debei, M. M., Chatfield, A., & Migdadi, M. (2021). The determinants of e- government services adoption and use: a unified model. Information Technology & People, 34(1),
162-198.
7. Asogwa, B. E. (2023). Digital Literacy, Skills Gap and E-Government Adoption in Developing Countries. Journal of Information Systems and Technology Management, 20(1), 1–18.
8. Bagale, G. S., Vandadi, V. R., Singh, D., Sharma, D. K., Garlapati, D. V. K., Bommisetti, R. K., Gupta, R. K., Setsiawan, R., Subramaniyaswamy, V., & Sengan, S. (2023). Retracted Article: Small and medium-sized enterprises’ contribution in digital technology. Annals of Operations Research, 326(S1), 3–4. https://doi.org/10.1007/s10479-021-04235-5
9. Bagozzi, R. (2007). The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift. Journal of the Association for Information Systems, 8 (4), 244-254.
10. Bakari, M. S. & Abubakar, A (2025). Digital Governance and Public Service Delivery in Nigeria: Opportunities, Challenges, and the Way Forward. Journal of African Innovation and Advanced Studies https://doi.org/10.70382/ajaias.v9i2.039
11. Bandura, A. & Locke, E.A. (2003). Negative self-efficacy and goal effects revisited. Journal of Applied Psychology, 88 (1), 87-99.
12. Bannister, F., & Connolly, R. (2020). The digital transformation of government: A global Perspective. Information Polity, 25(4), 323-339.
13. Bayode Kehinde (2023) Effect of Automation on Organisational Structure, Job Performance and Communication in University Libraries in South West Nigeria. Journal of Advanced Research and Multidisciplinary Studies 1(3), 31-47. https://doi.org/10.52589/JARMS-LOPK93D9
14. Carter, L., & Weerakkody, V. (2008). E-government and e-service: Implementation, usability and management issues. Journal of Electronic Commerce in Organizations, 6(2), 1-17.
15. Chang, I., Hwang, H., Hung, W. & Li, Y. (2007). Physicians’ acceptance of pharmacokinetics based clinical decision support systems. Expert Systems with Applications, 33 (2), 296-303.
16. Chauhan, S. & Jaiswal, M. (2016). Determinants of acceptance of ERP software training in business schools: Empirical investigation using UTAUT model. The International Journal of Management Education, 14 (3), 248-262.
17. Chen, Y., Visnjic, I., Parida, V., & Zhang, Z. (2021). On the road to digital servitization – The (dis)continuous interplay between business model and digital technology. International Journal of Operations & Production Management, 41(5), 694–722. https://doi.org/10.1108/IJOPM-08-2020-0544
18. Compeau, D.R. & Higgins, C.A. (1995). Application of Social Cognitive Theory to Training for Computer Skills. Information Systems Research, 6 (2), 118-143.
19. Creswell, J. W. (2014). Research Design: Qualitative, Quantitative and Mixed Methods Approaches (4th ed.). Thousand Oaks, CA: Sage Publications.
20. Davis, F.D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13 (3), 319 - 340. https://doi.10.2307/249008
21. DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30.
22. Centre for Management Development (CMD) (2025). Official Website. (Accessed June 2025). https://cmd.gov.ng/](https://cmd.gov.ng/
23. Chen, Y., Visnjic, I., Parida, V., & Zhang, Z. (2021). On the road to digital servitization – The (dis)continuous interplay between business model and digital technology. International Journal of Operations & Production Management, 41(5), 694–722.
https://doi.org/10.1108/IJOPM-08-2020-0544
24. DiMaggio, P. J., & Powell, W. W. (1983). The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields. American Sociological Review, 48(2), 147–160.
25. Gaglio, C., Kraemer-Mbula, E. & Lorenz, E. (2022). The effect of digital technology on innovation and productivity. Firm-level evidence of South Africa manufacturing micro and small enterprises. Journal of Technological Forecasting and Social Changes182. Retrieved from
https://doi.org/10.1016/j.techfor.22.1221785
26. Gefen, Karahanna, & Straub (2003) Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27 (1), 51.
27. Gegnefurtner, A., Zitt, A. & Ebner, C. (2020). Evaluating webinar-based training: a mixed methods Study of trainee reactions towards digital web conferencing. International Journal of Training and Development, 24(1), 5 – 12. https://doi.org/10.2307/249008
28. Goodhue, D.L. (1995). Understanding User Evaluations of Information Systems. Management Science, 41 (12), 1827-1844.
29. Gupta, B., Dasgupta, S. & Gupta, A. (2008). Adoption of ICT in a government organization in a developing country: An empirical study. The Journal of Strategic Information Systems, 17 (2), 140-154.
30. Hood, C. (1998). The Art of the State: Culture, Rhetoric, and Public Management. United Kingdom: Clarendon Press.
31. Im, I., Hong, S. & Kang, M.S. (2011). An international comparison of technology adoption. Information & Management, 48 (1), 1-8.
32. Jang, M., Aavakare, M., Nikou, S., & Kim, S. (2021). The impact of literacy on intention to use digital technology for learning: A comparative study of Korea and Finland. Telecommunications Policy, 45(7), 102154. https://doi.org/10.1016/j.telpol.2021.102154
33. Joshi, A., Kale, S., Chandel, S., & Pal, D. (2015). Likert Scale: Explored and Explained. British Journal of Applied Science & Technology, 7(4), 396-403.
34. Khan, S. A. R., Zia‐ul‐haq, H. M., Umar, M., & Yu, Z. (2021). Digital technology and circular economy practices: A strategy to improve organizational performance. Business strategy Strategy & Development, 4(4), 482–490. https://doi.org/10.1002/bsd2.176
35. Kim, S.S., Malhotra, N.K. & Narasimhan, S. (2005). Research Note—Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison. Information Systems Research, 16 (4), 418-432.
36. Kimberlin, C. L., & Winterstein, A. G. (2008). Validity and reliability of measurement instruments used in research. American Journal of Health-System Pharmacy, 65(23), 2276-2284.
37. Kuya, O.L. and Akinwale O.E. (2020). Conundrum of bureaucratic processes and healthcare service delivery in government hospitals in Nigeria. Journal of Humanities and Applied Social Sciences. Retrieved from https://doi.org/10.1108/JHASS-12-2019-0081
38. Li, J.-P. O., Liu, H., Ting, D. S. J., Jeon, S., Chan, R. V. P., Kim, J. E., Sim, D. A., Thomas, P. B. M., Lin, H., Chen, Y., Sakomoto, T., Loewenstein, A., Lam, D. S. C., Pasquale, L. R., Wong, T. Y., Lam, L. A., & Ting, D. S. W. (2021). Digital technology, tele medicine and artificial intelligence in ophthalmology: A global perspective. Progress in Retinal and Eye Research, 82, Retrieved from https://doi.org/10.1016/j.preteyeres.2020.10 0900
39. Li, Y., & Qiu, S. (2022). More “Government”, less “Governance”: Chinese public employees’preferences for governing public service delivery. Policy Studies, 43(3), 422–442.
https://doi.org/10.1080/01442872.2020.1772218
40. Limayem, Hirt, & Cheung (2007). How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance. MIS Quarterly, 31 (4), 705.
41. Mamun, S. A. K. & Rahman, M. M. (2016). Modelling a causal relationship between internet and academic research performance in an Australian university. A case study margin. The Journal of Applied Economics Research 10(1). Retrieved from https://doi.org/10.1177/0973801015612670
42. Martins, C., Oliveira, T. & Popovič, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34 (1), 1-13.
43. Mercy, O. A ; Yahaya I. & Chukwuemeka, I. E. (2025) Impact Of Digitalization On Public Service Delivery In Nigeria: A Case Study Of Federal Civil Service In Nigeria. International Journal of Innovative Information Systems & Technology Research 13(2):132-142,
44. Mergel I., Edelmann, N., & Haug, N. (2019). Defining digital transformation: Results from a global Delphi study. Government Information Quarterly, 36(1), 102-111.
45. Mohr, S., & Kühl, R. (2021). Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior. Precision Agriculture, 22(6), 1816–1844. https://doi.org/10.1007/s11119-021-09814-x
46. Moore, M. H. (1995). Creating Public Value: Strategic Management in Government. London: Harvard University Press.
47. Moore, G.C. & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2 (3), 192-222.
48. Mütterlein, J., Kunz, R.E. & Baier, D. (2019). Effects of lead-usership on the acceptance of media innovations: A mobile augmented reality case. Technological Forecasting and Social Change, 145(1), 113-124.
49. Ofoma Valentina. C, (2022) Digitalization Driven Public Service and Service Delivery: The Nigeria's Experience Article in Journal of Public Administration Finance and Law · January 2022.
50. Okwu, E. Olise, C. & Umahi, B. O (2025). Adoption of Digital Technologies and Librarians’ Service Delivery in Federal University Libraries In South-East, Nigeria. BW Academic Journal. Retrieved from https://bwjournal.org/index.php/bsjournal/article/view/2848
51. Osondu, S. I., Ogbonna, C. C., & Umeh, C. E. (2022). Evaluating The Use of Digital Technology in Teaching and Learning of Mathematics in Federal Universities in Nigeria. Annals of Technology Education Practitioners Association of Nigeria ATEPAN, 5(1), 87–94.
52. Sadiku, M. N., Chukwu, U. C., Ajayi-Majebi, A. & Musa, S. M. (2022). Digital Communication: An Overview. International Journal of Trend in Scientific Research and Development, 6(6), 2072 – 2076.
53. Sailer, M., Murböck, J., & Fischer, F. (2021). Digital learning in schools: What does it take beyond digital technology? Teaching and Teacher Education. Retrieved from
https://www.doi.org/10.1016/j.tate.2021.103346
54. Shamaki, H., Ibrahim, U. A., & Philemon, N. A. (2022). Evaluating the Influence of Digital Technology on the Performance of Female-Owned Enterprises in Nigeria. JWEE, 1–2, 39–60.
https://doi.org/10.28934/jwee22.12.pp39-60
55. Shukla, A., Dash, S. & Kumar, (2024). Factors affecting transfer of online training: A systematic literature review and proposed taxonomy. Human Resource Development Quarterly, 35(3), 363 - 390
56. Shyam, S. (2024) Public Value Management Revolution: Moving Beyond New Public Management Head of the Department, Department of Public Administration EPRA International Journal of Multidisciplinary Research, 10(11). 2455-3662 https://www.doi.org/10.36713/epra.IJMR.2024
57. Sienna, R. (2025). The Knowledge Academy. What is Digital Technology? IGI Global Scientific Publishing Retrieved from https://www.theknowledgeacademy/what/is/digital/technology
58. Singh, M. N. (2021). Inroad of Digital Technology in Education: Age of Digital Classroom. Higher Education for the Future, 8(1), 20–30. https://www.doi.org/10.1177/2347631120980272
59. Skare, M., & Riberio Soriano, D. (2021). How globalization is changing digital technology adoption: An international perspective. Journal of Innovation and Knowledge, 6(4), 222–233.
https://doi.org/10.1016/j.jik.2021.04.001
60. Small, G. W., Lee, J., Kaufman, A., Jalil, J., Siddarth, P., Gaddipati, H., Moody, T. D., & Bookheimer, S. Y. (2020). Brain health consequences of digital technology use. Dialogues in Clinical Neuroscience, 22(2), 179–187. Retrieved from https://doi.org/10.31887/DCNS.2020.22.2/gsmall
61. Solomon Adejare. B (2024) Digital Technology as A Driver of Government Efficiency: An Analysis of Government Parastatals in Lagos State, Nigeria. Department of Management and Accounting, Lead City University, Ibadan, Nigeria PERSPEKTIF, 13 (1), 285-297,
https://www.doi.10.31289/perspektif.v13i1.10654
62. Vargo, D., Zhu, L., Benwell, B., & Yan, Z. (2021). Digital technology use during COVID‐19 pandemic: A rapid review. Human Behavior and Emerging Technologies, 3(1), 13–24.
https://www.doi.org/10.1002/hbe2.242
63. Vayeda, M., Ghanghar, V., Desai, S., Shah, P., Modi, D., Dave, K., Dave, S., & Shah, S. (2022). Improving menstrual hygiene management among adolescent girls in tribal areas of Gujarat: an evaluation of an implementation model integrating the government service delivery system. Sexual and Reproductive Health Matters, 29(2). https://doi.org/10.1080/26410397.2021.1992199
64. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified theory of acceptance and use. MIS Quarterly, 27(3), 425-478.
65. Venkatesh, V. & Davis, F.D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46 (2), 186-204.
66. Venkatesh, V. (2000). Determinant of perceived ease of use. Integrating control, intrinsic motivation and emotion into Technological Acceptance Model. MIS Research, 11(1, 342 – 365.
67. Wuersch, L., Neher, A,. Maley, J. F. & Peter, M. K. (2024). Using digital internal communication strategy for digital capability development. International Journal of Strategic Communication, 18(3), 167 – 188.
68. Wulansari, N., Fadi, U. M. D. & Rosmawati, E. (2026). The effect of digital communication and technological-based training on employee performance through work culture at PT JPS. Research in Management of Technology and Business, 7(1), 1232 – 1244.
69. Yuen, K. F., Cai, L., Qi, G., & Wang, X. (2021). Factors influencing autonomous vehicle adoption: an application of the technology acceptance model and innovation diffusion theory. Technology Analysis and Strategic Management, 33(5), 505– 519. https://doi.org/10.1080/09537325.2020.1826 423
70. 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.
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