Authors : Chinelo Nwaamaka Onwusi; Ifeoma Odeluga; David Oche Idoko

Volume/Issue : Volume 11 - 2026, Issue 8 - August

Google Scholar : https://tinyurl.com/335hfxae

DOI : https://doi.org/10.38124/ijisrt/26aug1088

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Large organizations are increasingly adopting renewable energy, energy-efficiency systems, energy storage, electrification, smart metering, and digital energy-management technologies. However, enterprise-wide implementation is often constrained by fragmented governance, legacy systems, inadequate digital infrastructure, workforce limitations, organizational resistance, and weak alignment between sustainability goals and operational priorities. This study developed an Integrated Change Management and Digital Transformation Framework to support coordinated adoption and scaling of sustainable energy technologies across large organizations. The framework integrates six iterative phases: organizational diagnosis, strategic alignment, collaborative solution design, pilot implementation, enterprise scaling, and institutionalization with continuous optimization. These phases are supported by governance, stakeholder engagement, workforce development, digital energy architecture, technology prioritization, risk and readiness assessment, performance measurement, and benefits realization. The findings show that sustainable energy adoption should be treated as an enterprise-wide socio-technical transformation rather than as a stand-alone technology deployment. Effective implementation requires the coordinated management of organizational readiness, leadership, workforce capability, digital integration, stakeholder participation, regulatory requirements, and performance monitoring. The framework therefore provides a structured basis for selecting technologies, assessing readiness, managing implementation risks, scaling successful initiatives, and monitoring operational, financial, energy, and environmental outcomes. It also supports continuous adaptation as organizational conditions, technology maturity, resource availability, and regulatory requirements change.

Keywords : Change Management; Digital Transformation; Sustainable Energy Technologies; Enterprise Adoption; Energy Management; Organizational Readiness; Socio-Technical Systems.

References :

1. Intergovernmental Panel on Climate Change, Climate Change 2023: Synthesis Report, H. Lee and J. Romero, Eds. Geneva, Switzerland: IPCC, 2023. [Online]. Available: https://www.ipcc.ch/report/ar6/syr/.
2. International Energy Agency, World Energy Outlook 2023. Paris, France: IEA, 2023. [Online]. Available: https://www.iea.org/reports/world-energy-outlook-2023.
3. International Energy Agency, Renewables 2023: Analysis and Forecast to 2028. Paris, France: IEA, 2024. [Online]. Available: https://www.iea.org/reports/renewables-2023.
4. International Organization for Standardization, ISO 50001:2018—Energy Management Systems: Requirements with Guidance for Use. Geneva, Switzerland: ISO, 2018. [Online]. Available: https://www.iso.org/standard/69426.html.
5. International Energy Agency, Digitalisation and Energy. Paris, France: IEA, 2017. [Online]. Available: https://www.iea.org/reports/digitalisation-and-energy.
6. N. H. Motlagh, M. Mohammadrezaei, J. Hunt, and B. Zakeri, “Internet of Things and the energy sector,” Energies, vol. 13, no. 2, Art. no. 494, 2020. doi: 10.3390/en13020494.
7. G. Vial, “Understanding digital transformation: A review and a research agenda,” Journal of Strategic Information Systems, vol. 28, no. 2, pp. 118–144, 2019. doi: 10.1016/j.jsis.2019.01.003.
8. A. Hanelt, R. Bohnsack, D. Marz, and C. A. Marante, “A systematic review of the literature on digital transformation: Insights and implications for strategy and organizational change,” Journal of Management Studies, vol. 58, no. 5, pp. 1159–1197, 2021. doi: 10.1111/joms.12639.
9. K. S. R. Warner and M. Wäger, “Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal,” Long Range Planning, vol. 52, no. 3, pp. 326–349, 2019. doi: 10.1016/j.lrp.2018.12.001.
10. Guandalini, “Sustainability through digital transformation: A systematic literature review for research guidance,” Journal of Business Research, vol. 148, pp. 456–471, 2022. doi: 10.1016/j.jbusres.2022.05.003.
11. L. Wang, M. Morabito, C. T. Payne, and G. Robinson, “Identifying institutional barriers and policy implications for sustainable energy technology adoption among large organizations in California,” Energy Policy, vol. 146, Art. no. 111768, 2020. doi: 10.1016/j.enpol.2020.111768.
12. F. W. Geels, “Technological transitions as evolutionary reconfiguration processes: A multi-level perspective and a case-study,” Research Policy, vol. 31, nos. 8–9, pp. 1257–1274, 2002. doi: 10.1016/S0048-7333(02)00062-8.
13. B. J. Weiner, “A theory of organizational readiness for change,” Implementation Science, vol. 4, Art. no. 67, 2009. doi: 10.1186/1748-5908-4-67.
14. V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User acceptance of information technology: Toward a unified view,” MIS Quarterly, vol. 27, no. 3, pp. 425–478, 2003. doi: 10.2307/30036540.
15. Stouten, D. M. Rousseau, and D. De Cremer, “Successful organizational change: Integrating the management practice and scholarly literatures,” Academy of Management Annals, vol. 12, no. 2, pp. 752–788, 2018. doi: 10.5465/annals.2016.0095.
16. M. Schulze, H. Nehler, M. Ottosson, and P. Thollander, “Energy management in industry: A systematic review of previous findings and an integrative conceptual framework,” Journal of Cleaner Production, vol. 112, pp. 3692–3708, 2016. doi: 10.1016/j.jclepro.2015.06.060.
17. C. Cooremans, “Investment in energy efficiency: Do the characteristics of investments matter?” Energy Efficiency, vol. 5, no. 4, pp. 497–518, 2012. doi: 10.1007/s12053-012-9154-x.
18. E. Cagno, E. Worrell, A. Trianni, and G. Pugliese, “A novel approach for barriers to industrial energy efficiency,” Renewable and Sustainable Energy Reviews, vol. 19, pp. 290–308, 2013. doi: 10.1016/j.rser.2012.11.007.
19. International Organization for Standardization, ISO 50009:2021—Energy Management Systems: Guidance for Implementing a Common Energy Management System in Multiple Organizations. Geneva, Switzerland: ISO, 2021. [Online]. Available: https://www.iso.org/standard/51872.html.
20. C. Matt, T. Hess, and A. Benlian, “Digital transformation strategies,” Business & Information Systems Engineering, vol. 57, no. 5, pp. 339–343, 2015. doi: 10.1007/s12599-015-0401-5.
21. P. C. Verhoef et al., “Digital transformation: A multidisciplinary reflection and research agenda,” Journal of Business Research, vol. 122, pp. 889–901, 2021. doi: 10.1016/j.jbusres.2019.09.022.
22. S. Nadkarni and R. Prügl, “Digital transformation: A review, synthesis and opportunities for future research,” Management Review Quarterly, vol. 71, pp. 233–341, 2021. doi: 10.1007/s11301-020-00185-7.
23. M. Ghobakhloo, “Industry 4.0, digitization, and opportunities for sustainability,” Journal of Cleaner Production, vol. 252, Art. no. 119869, 2020. doi: 10.1016/j.jclepro.2019.119869.
24. Lee, B. Bagheri, and H.-A. Kao, “A cyber-physical systems architecture for Industry 4.0-based manufacturing systems,” Manufacturing Letters, vol. 3, pp. 18–23, 2015. doi: 10.1016/j.mfglet.2014.12.001.
25. A. A. Armenakis, S. G. Harris, and K. W. Mossholder, “Creating readiness for organizational change,” Human Relations, vol. 46, no. 6, pp. 681–703, 1993. doi: 10.1177/001872679304600601.
26. Burnes, “Kurt Lewin and the planned approach to change: A re-appraisal,” Journal of Management Studies, vol. 41, no. 6, pp. 977–1002, 2004. doi: 10.1111/j.1467-6486.2004.00463.x.
27. J. P. Kotter, Leading Change. Boston, MA, USA: Harvard Business School Press, 1996.
28. J. M. Hiatt, ADKAR: A Model for Change in Business, Government and Our Community. Loveland, CO, USA: Prosci Research, 2006.
29. S. Oreg, “Personality, context, and resistance to organizational change,” European Journal of Work and Organizational Psychology, vol. 15, no. 1, pp. 73–101, 2006. doi: 10.1080/13594320500451247.
30. D. T. Holt, A. A. Armenakis, H. S. Feild, and S. G. Harris, “Readiness for organizational change: The systematic development of a scale,” Journal of Applied Behavioral Science, vol. 43, no. 2, pp. 232–255, 2007. doi: 10.1177/0021886306295295.
31. G. Baxter and I. Sommerville, “Socio-technical systems: From design methods to systems engineering,” Interacting with Computers, vol. 23, no. 1, pp. 4–17, 2011. doi: 10.1016/j.intcom.2010.07.003.
32. D. J. Teece, “Explicating dynamic capabilities: The nature and microfoundations of sustainable enterprise performance,” Strategic Management Journal, vol. 28, no. 13, pp. 1319–1350, 2007. doi: 10.1002/smj.640.
33. E. M. Rogers, Diffusion of Innovations, 5th ed. New York, NY, USA: Free Press, 2003.
34. P. J. DiMaggio and W. W. Powell, “The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields,” American Sociological Review, vol. 48, no. 2, pp. 147–160, 1983. doi: 10.2307/2095101.
35. R. W. Apeaning and P. Thollander, “Barriers to and driving forces for industrial energy efficiency improvements in African industries: A case study of Ghana’s largest industrial area,” Journal of Cleaner Production, vol. 53, pp. 204–213, 2013. doi: 10.1016/j.jclepro.2013.04.003
36. A. R. Hevner, S. T. March, J. Park, and S. Ram, “Design science in information systems research,” MIS Quarterly, vol. 28, no. 1, pp. 75–105, 2004. doi: 10.2307/25148625.
37. Peffers, T. Tuunanen, M. A. Rothenberger, and S. Chatterjee, “A design science research methodology for information systems research,” Journal of Management Information Systems, vol. 24, no. 3, pp. 45–77, 2007. doi: 10.2753/MIS0742-1222240302.
38. J. Page et al., “The PRISMA 2020 statement: An updated guideline for reporting systematic reviews,” BMJ, vol. 372, Art. no. n71, 2021. doi: 10.1136/bmj.n71.
39. H. Snyder, “Literature review as a research methodology: An overview and guidelines,” Journal of Business Research, vol. 104, pp. 333–339, 2019. doi: 10.1016/j.jbusres.2019.07.039.
40. V. Braun and V. Clarke, “Using thematic analysis in psychology,” Qualitative Research in Psychology, vol. 3, no. 2, pp. 77–101, 2006. doi: 10.1191/1478088706qp063oa.
41. T. L. Saaty, “Decision making with the analytic hierarchy process,” International Journal of Services Sciences, vol. 1, no. 1, pp. 83–98, 2008. doi: 10.1504/IJSSCI.2008.017590.
42. National Institute of Standards and Technology, The NIST Cybersecurity Framework 2.0, NIST CSWP 29. Gaithersburg, MD, USA: NIST, 2024. doi: 10.6028/NIST.CSWP.29.
43. International Organization for Standardization, ISO 31000:2018—Risk Management: Guidelines. Geneva, Switzerland: ISO, 2018. [Online]. Available: https://www.iso.org/standard/65694.html.
44. International Organization for Standardization, ISO 50006:2023—Energy Management Systems: Evaluating Energy Performance Using Energy Performance Indicators and Energy Baselines. Geneva, Switzerland: ISO, 2023. [Online]. Available: https://www.iso.org/standard/79367.html.
45. International Organization for Standardization, ISO 50015:2014—Energy Management Systems: Measurement and Verification of Energy Performance of Organizations. Geneva, Switzerland: ISO, 2014. [Online]. Available: https://www.iso.org/standard/60043.html.
46. Efficiency Valuation Organization, International Performance Measurement and Verification Protocol: Core Concepts 2022. Washington, DC, USA: EVO, 2022. [Online]. Available: https://evo-world.org/en/products-services-mainmenu-en/protocols/ipmvp.
47. E. Sotos, GHG Protocol Scope 2 Guidance: An Amendment to the GHG Protocol Corporate Standard. Washington, DC, USA: World Resources Institute, 2015. [Online]. Available: https://ghgprotocol.org/scope-2-guidance.
48. H. Lawshe, “A quantitative approach to content validity,” Personnel Psychology, vol. 28, no. 4, pp. 563–575, 1975.
49. F. Hasson, S. Keeney, and H. McKenna, “Research guidelines for the Delphi survey technique,” Journal of Advanced Nursing, vol. 32, no. 4, pp. 1008–1015, 2000. doi: 10.1046/j.1365-2648.2000.01567.x.
50. L. J. Cronbach, “Coefficient alpha and the internal structure of tests,” Psychometrika, vol. 16, no. 3, pp. 297–334, 1951. doi: 10.1007/BF02310555.
51. Fornell and D. F. Larcker, “Evaluating structural equation models with unobservable variables and measurement error,” Journal of Marketing Research, vol. 18, no. 1, pp. 39–50, 1981.
52. T. K. Koo and M. Y. Li, “A guideline of selecting and reporting intraclass correlation coefficients for reliability research,” Journal of Chiropractic Medicine, vol. 15, no. 2, pp. 155–163, 2016.
53. Azonuche, T. I., and Enyejo, J. O. (2024). Agile transformation in public-sector information technology projects using Lean-Agile change management and enterprise architecture alignment. International Journal of Scientific Research and Modern Technology, 3(8), 21–39.
54. Ajayi-Kaffi, O., Igba, E., Azonuche, T. I., and Ijiga, O. M. (2025). Agile-driven digital transformation frameworks for optimizing cloud-based healthcare supply-chain management systems. International Journal of Scientific Research and Modern Technology, 4(5), 138–156.
55. Kwarteng, R. A., Idoko, I. P., and Azonuche, T. I. (2023). Applying Agile and Project Management Professional-aligned practices to technology change management in resource-constrained institutions. International Journal of Scientific Research in Science and Technology, 10(5), 784–810.
56. Awolola, O. J., Azonuche, T. I., Enyejo, J. O., Ononiwu, M., and Ayoola, V. B. (2025). Innovation-focused business models for scaling small- and medium-sized engineering firms through technology adoption and process standardization. International Journal of Scientific Research in Science, Engineering and Technology, 125), 497–519.
57. Ononiwu, M., Azonuche, T. I., and Enyejo, J. O. (2025). Investigating agile portfolio-management techniques for prioritizing strategic initiatives in large-scale government information technology projects. International Journal of Management and Entrepreneurship Research, 7(6), 464–483.
58. Azonuche, T. I., and Enyejo, J. O. (2024). Evaluating the impact of agile scaling frameworks on productivity and quality in large-scale financial-technology software development. International Journal of Scientific Research and Modern Technology, 3(6), 57–69.
59. Azonuche, T. I., Aigbogun, M. E., and Enyejo, J. O. (2025). Investigating hybrid agile frameworks integrating Scrum and DevOps for continuous delivery in regulated software environments. International Journal of Innovative Science and Research Technology, 10(4).
60. Nwokocha, C. R., and Peter-Anyebe, A. C. (2025). Enhancing health-data governance through Agile Scrum practices and sprint metrics for effective stakeholder collaboration and delivery. International Journal of Scientific Research and Modern Technology, 4(11), 179–195.
61. Ussher-Eke, D., Igba, E. O., Ijiga, O. M., and Enyejo, J. O. (2025). Improving employee engagement and safety through the use of Internet of Things-enabled monitoring tools in human-resource practices. Journal of Technology and Innovation, 5(2), 48–55.
62. Idoko, I. P., Igbede, M. A., Manuel, H. N. N., Adeoye, T. O., Akpa, F. A., and Ukaegbu, C. (2024). Big data and artificial intelligence in employment: The dual challenge of workforce replacement and protecting customer privacy in biometric-data usage. Global Journal of Engineering and Technology Advances, 19(2), 89–106.
63. Okoh, O. F., Ukpoju, E. A., Otakwu, A., Ayoola, V. B., and Ijiga, A. C. (2024). Evaluating the influence of human-capital development on economic growth: A global analysis of the potential impact of artificial-intelligence technologies. Corporate Sustainable Management Journal, 2(1), 49–59.
64. Atache, S., Ijiga, A. C., and Olola, T. M. (2024). Enhancing performance in the Nigerian civil service through advanced artificial-intelligence technologies: A case study of BigGAN applications. Malaysian Journal of Human Resources Management, 1(2), 143–151.
65. Ijiga, A. C., Aboi, E. J., Idoko, P. I., Enyejo, L. A., and Odeyemi, M. O. (2024). Collaborative innovations in artificial intelligence: Partnering with leading United States technology firms to combat human trafficking. Global Journal of Engineering and Technology Advances, 18(3), 106–123.
66. Anokwuru, E. A., Omachi, A., and Enyejo, L. A. (2022). Human–artificial intelligence collaboration in pharmaceutical strategy formulation: Evaluating the role of cognitive augmentation in commercial decision systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 8(2), 661–678.
67. Alaka, E., Akindayo, A. E., Ilemore, O., Igba, E., and Enyejo, J. O. (2025). The role of integrated reporting in strengthening corporate governance and investor decision-making across emerging markets. International Journal of Recent Research in Commerce Economics and Management, 12(4), 11–30.
68. Onyekaonwu, C. B., Igba, E., and Peter-Anyebe, A. C. (2024). Agentic artificial intelligence for regulatory intelligence: Designing scalable compliance-lifecycle systems in multinational technology enterprises. International Journal of Scientific Research and Modern Technology, 3(12), 205–222.
69. Akindote, O., Igba, E., Awotiwon, B. O., and Otakwu, A. (2024). Blockchain integration in critical systems: Enhancing transparency, efficiency, and real-time data security in agile project management, decentralized finance, and cold-chain management. International Journal of Scientific Research and Modern Technology, 3(11).
70. Enyejo, J. O., Fajana, O. P., Jok, I. S., Ihejirika, C. J., Awotiwon, B. O., and Olola, T. M. (2024). Digital-twin technology, predictive analytics, and sustainable project management in global supply chains for risk mitigation, optimization, and carbon-footprint reduction. International Journal of Innovative Science and Research Technology, 9(11).
71. Ihimoyan, M. K., Ibokette, A. I., Olumide, F. O., Ijiga, O. M., and Ajayi, A. A. (2024). The role of artificial intelligence-enabled digital twins in managing financial-data risks for small-scale business projects in the United States. International Journal of Scientific Research and Modern Technology, 3(6), 12–40.
72. Nwokocha, C. R., Ogundolapo, O. O., and Eji, M. M. (2025). Using Power BI and SQL for predictive data analytics to improve decision-making and performance tracking in public-health systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11(6).
73. Jalloh, A. M. S., Akingbade, R., and Enyejo, J. O. (2026). Data-driven financial-performance monitoring in utility-sector projects using Power BI and SQL-based analytics for executive-level decision support. International Journal of Recent Research in Commerce Economics and Management, 13(1), 13–33.
74. Bashiru, O., Ochem, C., Enyejo, L. A., Manuel, H. N. N., and Adeoye, T. O. (2024). The crucial role of renewable energy in achieving the Sustainable Development Goals for cleaner energy. Global Journal of Engineering and Technology Advances, 19(3), 11–36.
75. Idoko, I. P., Ijiga, O. M., Akoh, O., Agbo, D. O., Ugbane, S. I., and Umama, E. E. (2024). Empowering sustainable power generation: The vital role of power electronics in California’s renewable-energy transformation. World Journal of Advanced Engineering Technology and Sciences, 11(1), 274–293.
76. Idoko, I. P., Ijiga, O. M., Harry, K. D., Ezebuka, C. C., Ukatu, I. E., and Peace, A. E. (2024). Renewable-energy policies: A comparative analysis of Nigeria and the United States of America.
77. Ibokette, A. I., Ogundare, T. O., Akindele, J. S., Anyebe, A. P., and Okeke, R. O. (2024). Decarbonization strategies in the United States maritime industry with a focus on overcoming regulatory and operational challenges in implementing zero-emission vessel technologies. International Journal of Innovative Science and Research Technology, 9(11).
78. Idoko, I. P., Akindele, J. S., Imarenakhue, W. U., and Bashiru, O. (2024). Exploring the role of bioenergy in achieving sustainable waste utilization and promoting low-carbon transition strategies. International Journal of Scientific Research in Science and Technology.
79. Aikins, S. A., Avevor, J., and Enyejo, L. A. (2024). Optimizing thermal management in hydrogen fuel cells for smart heating, ventilation, and air-conditioning systems and sustainable building-energy solutions. International Journal of Scientific Research and Modern Technology, 3(4).
80. Oyekan, M., Jinadu, S. O., and Enyejo, J. O. (2025). The role of strategic asset management in accelerating the energy transition. International Journal of Innovative Science and Research Technology, 10(9).
81. Oyekan, M., Jinadu, S. O., and Enyejo, J. O. (2023). Harnessing data analytics to maximize renewable-energy asset performance. International Journal of Scientific Research and Modern Technology, 2(8), 64–80.
82. Anim-Sampong, S. D., Ilesanmi, M. O., and Yetunde Adetutu, O. O. (2022). Bridging the gap between technical asset management and executive strategy in renewable energy: A framework for portfolio managers as policy and investment influencers. International Journal of Scientific Research in Mechanical and Materials Engineering, 6(5).