References
1. Perrow, C. (1984). Normal accidents: Living with high-risk technologies. Basic Books. 2. Weick, K. E., & Sutcliffe, K. M. (2007). Managing the unexpected: Resilient performance in an age of uncertainty (2nd ed.). Jossey-Bass. 3. Ishikawa, K. (1986). Guide to quality control (2nd rev. ed.). Asian Productivity Organization. 4. Rooney, J. J., & Vanden Heuvel, L. N. (2004). Root cause analysis for beginners. Quality Progress, 37(7), 45–53. 5. Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault tree handbook (NUREG-0492). U.S. Nuclear Regulatory Commission. https://www.nrc.gov/reading- rm/doc-collections/nuregs/staff/sr0492/ 6. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa 7. AXELOS. (2011). ITIL service operation (2011 ed.). The Stationery Office. 8. Beyer, B., Jones, C., Petoff, J., & Murphy, N. R. (2016). Site reliability engineering: How Google runs production systems. O’Reilly Media. 9. Dekker, S. (2007). Just culture: Balancing safety and accountability. Ashgate. 10. Reason, J. (2000). Human error: Models and management. BMJ, 320(7237), 768–770. https://doi.org/10.1136/bmj.320.7237.768 11. Jones, B. C., & Ominyi, M. (2020). A review of legal barriers to import-export participation for Nigerian entrepreneurs. IIARD International Journal of Economics and Business Management, 6(4), 51–70. https://doi.org/10.56201/ijebm..pg51.70 12. Jones, B. C., & Ominyi, M. (2021). Developing a conceptual framework linking West African agricultural value chains to household economic stability. International Journal of Economics and Financial Management, 6(2), 89–114. https://doi.org/10.56201/ijefm.v6.no2.2021.pg89.114 13. Ominyi, M. (2020). Developing a conceptual framework for post-merger compliance integration in multi-jurisdictional banking transaction. IIARD International Journal of Banking and Finance Research, 6(3), 78–95. https://doi.org/10.56201/ijbfr..pg78.95 14. Ominyi, M. (2021). Toward a conceptual framework for embedding privacy by design in corporate restructuring and transaction structuring. Journal of Accounting and Financial Management, 7(5), 152–173. https://doi.org/10.56201/jafm..p152.173 15. Ominyi, M., & Anichukwueze, C. C. (2020). A review of regulatory clearance frameworks for cross-border mergers and acquisitions in African financial markets. Journal of Accounting and Financial Management, 6(4), 73–99. https://doi.org/10.56201/jafm..pg73.99 16. Ominyi, M., & Anichukwueze, C. C. (2021). A systematic review of anti-money laundering and anti-bribery compliance regimes across emerging and developed markets. International Journal of Economics and Financial Management, 6(2), 89–118. https://doi.org/10.56201/ijefm.v6.no2.2021.pg89.118 17. Akomolafe, O., & Agu, M. U. (2018). A conceptual model for enhancing internal audit quality through technology-enabled risk assessment frameworks. Iconic Research and Engineering Journals, 1(9), 458-475. www.iiardpub.org 18. Akomolafe, O., & Agu, M. U. (2019a). A conceptual framework for developing risk-based internal control models in the insurance and banking sectors. Iconic Research and Engineering Journals, 2(8), 335-354. 19. Akomolafe, O., & Agu, M. U. (2019b). A review of data-driven risk evaluation models for emerging market financial institutions. Iconic Research and Engineering Journals, 3(6), 433-448. 20. Akomolafe, O., & Agu, M. U. (2019c). Advances in financial resilience through integrated governance and compliance strategies. Iconic Research and Engineering Journals, 2(10), 607-620. 21. Dada, T., Isiekwu, C. P., & Oluwo, K. (2021c). Advances in multinational cash flow consolidation and FX risk control using tiered treasury architecture. Iconic Research and Engineering Journals, 4(11), 601-620. https://doi.org/10.64388/IREV4I11-1714351 22. Dada, T., Isiekwu, C. P., & Oluwo, K. (2021d). Designing CRM-based sales forecasting models for multichannel lending institutions. Iconic Research and Engineering Journals, 5(3), 451-466. https://doi.org/10.64388/IREV5I3-1714352 23. Isiekwu, C. P., Oluwo, K., & Dada, T. (2021). A conceptual model for CFO-led strategic finance in joint venture and cross-border partnerships. Iconic Research and Engineering Journals, 4(7), 383-400. https://doi.org/10.64388/IREV4I7-1714350 24. Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. https://doi.org/10.1080/2159676X.2019.1628806 25. Ejofodomi, O. A., Gideon, E. N., Oladipo, G. O., & Oshomah, E. R. (2014). Automated detection of architectural detection in mammograms using template matching. International Journal of Biomedical Science and Engineering, 2(1), 1–6. 26. Lawal, O. A., & Oduleye, T. E. (2018a). A conceptual model for financial analytics driven enterprise value creation in technology firms. Iconic Research and Engineering Journals, 2(2). 27. Lawal, O. A., & Oduleye, T. E. (2018b). A review and conceptual framework for tax governance and cross-border compliance analytics. Iconic Research and Engineering Journals, 2(5). 28. Lawal, O. A., & Oduleye, T. E. (2019a). A conceptual risk assessment model for transfer pricing in multinational corporations. Iconic Research and Engineering Journals, 2(12). 29. Lawal, O. A., & Oduleye, T. E. (2019b). Conceptualizing data driven executive decision systems for strategic financial planning. Iconic Research and Engineering Journals, 3(3). 30. Lawal, O. A., & Oduleye, T. E. (2021a). A conceptual decision model for capital allocation using financial analytics. Gyanshauryam, International Scientific Refereed Research Journal, 4(2), 269-295. 31. Lawal, O. A., & Oduleye, T. E. (2021b). Aligning financial planning analytics with corporate strategy: A conceptual integration model. Shodhshauryam, International Scientific Refereed Research Journal, 4(3), 319-346. 32. Orise, C., & Niniola, S. (2020). Data-informed digital learning platforms: A conceptual framework for evidence-based educational technology in healthcare and STEM environments. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 1078-1089. https://doi.org/10.54660/.IJMRGE.2020.1.5.1078-1089 33. Card, A. J. (2017). The problem with ‘5 whys’. BMJ Quality & Safety, 26(8), 671–677. https://doi.org/10.1136/bmjqs-2016-005849 www.iiardpub.org 34. Leveson, N. (2004). A new accident model for engineering safer systems. Safety Science, 42(4), 237–270. https://doi.org/10.1016/S0925-7535(03)00047-X 35. Reason, J. (1990). Human error. Cambridge University Press. https://doi.org/10.1017/CBO9781139062367 36. Peerally, M. F., Carr, S., Waring, J., & Dixon-Woods, M. (2017). The problem with root cause analysis. BMJ Quality & Safety, 26(5), 417–422. https://doi.org/10.1136/bmjqs- 2016-005511 37. Dosunmu, A. A., & Ogundele, P. O. (2019). Security audit and enterprise risk assessment frameworks for resilient information systems. Iconic Research and Engineering Journals, 3(5), 434-447. https://doi.org/10.64388/IREV3I5-1713225 38. Dosunmu, A. A., & Ogundele, P. O. (2020). Intrusion detection and prevention models for enhancing organizational cyber defense effectiveness. Iconic Research and Engineering Journals, 4(6), 310-324. https://doi.org/10.64388/IREV4I6-1713226 39. Dosunmu, A. A., & Ogundele, P. O. (2021). Incident response and digital forensics strategies for rapid cyber attack containment. Gyanshauryam, International Scientific Refereed Research Journal, 4(4), 239-258. 40. Basnet, A., Oghenemaiga, E., & Anene, U. N. (2021). Audience segmentation and forecasting models for enhancing targeted digital marketing effectiveness. Shodhshauryam, International Scientific Refereed Research Journal, 4(5), 279-305. 41. Badmus, O., Dosunmu, A. A., & Ozowara, D. E. (2018). A systematic review of CI/CD pipeline strategies in Salesforce DevOps: Tools, practices, and deployment outcomes. Iconic Research and Engineering Journals, 2(6). 42. Badmus, O., Dosunmu, A. A., & Ozowara, D. E. (2019a). A conceptual model for ETL design and data integration in Salesforce-centric enterprise architectures. Iconic Research and Engineering Journals, 3(5). 43. Badmus, O., Dosunmu, A. A., & Ozowara, D. E. (2019b). A governance framework for Salesforce platform management in regulated healthcare environments. Iconic Research and Engineering Journals, 3(6). 44. Carroll, J. S. (1998). Organizational learning activities in high-hazard industries: The logics underlying self-analysis. Journal of Management Studies, 35(6), 699–717. https://doi.org/10.1111/1467-6486.00116 45. Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 1–13. https://doi.org/10.1177/1609406917733847 46. Braun, V., & Clarke, V. (2013). Successful qualitative research: A practical guide for beginners. SAGE. 47. Adegbite, M. P., Adebayo, A., & Ahmed, M. O. (2020). Securing operational technology networks in electric utilities: A systematic review of NERC CIP compliance and architectural threat mitigation. International Journal of Engineering and Modern Technology, 6(3), 103-146. https://doi.org/10.56201/ijemt..pg103.146 48. Ahmed, M. O., Adegbite, M. P., & Adebayo, A. (2021). Zero trust architecture for operational technology in North American critical infrastructure: A framework for implementation and resilience optimization. International Journal of Engineering and Modern Technology, 7(1), 66-113. https://doi.org/10.56201/ijemt..pg66.113 www.iiardpub.org 49. Akin-Oluyomi, O. T., Atima, M. E., Akinleye, O. K., & Akokodaripon, D. A. (2020). Using Tableau and Excel for comprehensive profitability analysis in retail procurement operations. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 385-393. 50. Akinleye, O. K., & Adeyoyin, O. (2021). Process automation framework for enhancing procurement efficiency and transparency. Shodhshauryam, International Scientific Refereed Research Journal, 4(4), 356-387. 51. Efobi, O. Z., Akinleye, O. K., & Fasawe, O. (2021). Framework for data-driven operations management and performance improvement in educational institutions. Gyanshauryam, International Scientific Refereed Research Journal, 4(6), 127-158. 52. Komi, N. M. (2021). Hybrid deep learning for wind power forecasting: From grid stability to market equity for small generators. International Journal of Multidisciplinary Research and Growth Evaluation, 2(6), 989-1014. https://doi.org/10.54660/.IJMRGE.2021.2.6.989- 1014 53. Komi, N. M., & Adamolekun, A. (2021). Interpretable machine learning for early failure prediction in distributed renewable energy assets. International Journal of Multidisciplinary Research and Growth Evaluation, 2(6), 1015-1038. https://doi.org/10.54660/.IJMRGE.2021.2.6.1015-1038 54. Ogbole, J. I., Okoruwa, P. O., Fadayomi, O., Abolaji, T. O., Edivri, J., & Akeju, B. (2021b). Conceptual model for identity-centric zero trust architecture in enterprise security governance. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 7(5), 393-415. https://doi.org/10.32628/IJSRCSEIT217562 55. Okoruwa, P. O., Fadayomi, O., Akeju, B., Edivri, J., Ogbole, J. I., & Abolaji, T. O. (2020). Conceptual model for privacy-centric security engineering in digital and cloud computing systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 7(5), 371-389. 56. Tonoyan, A., Dada, O., & Ayivi-Donkor, S. S. (2021b). Advances in demand forecasting: Machine learning algorithms for revenue projection and financial planning accuracy. Gyanshauryam, International Scientific Refereed Research Journal, 4(1), 282-317. 57. Tonoyan, A., Dada, O., & Ayivi-Donkor, S. S. (2021c). Predictive cash flow modeling in retail: A review of advanced forecasting and working capital optimization. Shodhshauryam, International Scientific Refereed Research Journal, 4(3), 366-397. 58. Jardine, A. K. S., Lin, D., & Banjevic, D. (2006). A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing, 20(7), 1483–1510. https://doi.org/10.1016/j.ymssp.2005.09.012 59. Susto, G. A., Schirru, A., Pampuri, S., McLoone, S., & Beghi, A. (2015). Machine learning for predictive maintenance: A multiple classifier approach. IEEE Transactions on Industrial Informatics, 11(3), 812–820. https://doi.org/10.1109/TII.2014.2349359 60. Wang, J., Ma, Y., Zhang, L., Gao, R. X., & Wu, D. (2018). Deep learning for smart manufacturing: Methods and applications. Journal of Manufacturing Systems, 48, 144– 156. https://doi.org/10.1016/j.jmsy.2018.01.003 61. Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019). Digital twin in industry: State-of-the- art. IEEE Transactions on Industrial Informatics, 15(4), 2405–2415. https://doi.org/10.1109/TII.2018.2873186 www.iiardpub.org 62. Sunday, E. A., Omoegun, G. O., Essien, M. A., & Oluokun, O. A. (2020a). Transitioning from reactive to predictive maintenance in mechanical systems. International Journal of Scientific Research in Computer Science, 6(6), 425–447. 63. Dogbatsey, E., Ebhojie, O., & Oyeleye, A. O. (2021). Cross-Border Segregation of Duties and Access Governance in Multinational Treasury: A Conceptual Framework. Cross- Border Segregation of Duties and Access Governance in Multinational Treasury: A Conceptual Framework, 2(6), 896-907. https://doi.org/10.54660/.IJMRGE.2021.2.6.896- 907 64. Akokodaripon, D. (2021b). Supplier relationship management strategies fostering innovation, collaboration, and resilience in global supply chain ecosystems. International Journal of Multidisciplinary Evolutionary Research, 2(2), 52-62. https://doi.org/10.54660/IJMER.2021.2.2.52-62 65. Bello, A. D., Elebe, O., Hammed, N. I., Omoegun, G. O., & Abutu, D. E. (2020). An elearning framework for improving digital literacy and responsible technology use in primary and secondary schools. IRE Journals, 4(3). https://doi.org/10.64388/IREV4I3- 1713776 66. Fadayomi, O., Bello, A. D., Elebe, O., Hammed, N. I., & Omoegun, G. O. (2021). An integrated cybersecurity and anti-money laundering governance framework for financial crime prevention. Iconic Research and Engineering Journal, 4(11), 584. 67. Stouffer, K., Lightman, S., Pillitteri, V., Abrams, M., & Hahn, A. (2015). Guide to Industrial Control Systems Security. NIST SP 800-82. 68. Dragos, & Inc. (2017). TRISIS Malware: Analysis of Safety System Targeted Attack. Dragos Intelligence. 69. Papernot, N., McDaniel, P., Sinha, A., & Wellman, M. P. (2018). SoK: Security and privacy in machine learning. in Proc. IEEE EuroS&P, 399-414. 70. Rose, S., Borchert, O., Mitchell, S., & Connelly, S. (2020). Zero Trust Architecture. NIST SP 800207. 71. Akokodaripon, D. (2021a). End-to-end visibility frameworks improving transparency, compliance, and traceability across complex global supply chain operations. International Journal of Multidisciplinary Futuristic Development, 2(2), 50-60. https://doi.org/10.54660/IJMFD.2021.2.2.50-60 72. Sproul, W. D., Christie, D. J., & Carter, D. C. (2005). Control of reactive sputtering processes. Thin Solid Films, 491(1), 1–17. https://doi.org/10.1016/j.tsf.2005.05.022 73. Strijckmans, K., Schelfhout, R., & Depla, D. (2018). Tutorial: Hysteresis during the reactive magnetron sputtering process. Journal of Applied Physics, 124(24), 241101. https://doi.org/10.1063/1.5042084 74. Musil, J., Baroch, P., Vlček, J., Nam, K. H., & Han, J. G. (2005). Reactive magnetron sputtering of thin films: present status and trends. Thin Solid Films, 475(1), 208–218. https://doi.org/10.1016/j.tsf.2004.07.041 75. Sarakinos, K., Alami, J., & Konstantinidis, S. (2010). High power pulsed magnetron sputtering: A review on scientific and engineering state of the art. Surface and Coatings Technology, 204(11), 1661–1684. https://doi.org/10.1016/j.surfcoat.2009.11.013 76. Anders, A. (2017). Tutorial: Reactive high power impulse magnetron sputtering (R- HiPIMS). Journal of Applied Physics, 121(17), 171101. https://doi.org/10.1063/1.4978350 www.iiardpub.org 77. Anders, A. (2014). A review comparing cathodic arcs and high power impulse magnetron sputtering . Surface and Coatings Technology, 257, 308–325. https://doi.org/10.1016/j.surfcoat.2014.08.043 78. Negri, E., Fumagalli, L., & Macchi, M. (2017). A Review of the Roles of Digital Twin in CPS-based Production Systems. Procedia Manufacturing, 11, 939–948. https://doi.org/10.1016/j.promfg.2017.07.198 79. Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W. (2018). Digital Twin in manufacturing: A categorical literature review and classification. IFAC-PapersOnLine, 51(11), 1016–. https://doi.org/10.1016/j.ifacol.2018.08.474 80. Jones, D., Snider, C., Nassehi, A., Yon, J., & Hicks, B. (2020). Characterising the Digital Twin: A systematic literature review. CIRP Journal of Manufacturing Science and Technology, 29, 36–52. https://doi.org/10.1016/j.cirpj.2020.02.002 81. Semeraro, C., Lezoche, M., Panetto, H., & Dassisti, M. (2021). Digital twin paradigm: A systematic literature review. Computers in Industry, 130, 103469. https://doi.org/10.1016/j.compind.2021.103469 82. Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020). Digital Twin: Enabling Technologies, Challenges and Open Research. IEEE Access, 8, 108952–108971. https://doi.org/10.1109/ACCESS.2020.2998358 83. Raissi, M., Perdikaris, P., & Karniadakis, G. E. (2019). Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations. Journal of Computational Physics, 378, 686–707. https://doi.org/10.1016/j.jcp.2018.10.045 84. Brunton, S. L., Proctor, J. L., & Kutz, J. N. (2016). Discovering governing equations from data by sparse identification of nonlinear dynamical systems. Proceedings of the National Academy of Sciences, 113(15), 3932–3937. https://doi.org/10.1073/pnas.1517384113 85. Benner, P., Gugercin, S., & Willcox, K. (2015). A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems. SIAM Review, 57(4), 483–531. https://doi.org/10.1137/130932715 86. Evensen, G. (2003). The Ensemble Kalman Filter: theoretical formulation and practical implementation. Ocean Dynamics, 53(4), 343–367. https://doi.org/10.1007/s10236- 0030036-9 87. Kapteyn, M. G., Pretorius, J. V. R., & Willcox, K. E. (2021). A probabilistic graphical model foundation for enabling predictive digital twins at scale. Nature Computational Science, 1(5), 337–347. https://doi.org/10.1038/s43588-021-00069-0 88. Mayne, D. Q. (2014). Model predictive control: Recent developments and future promise. Automatica, 50(12), 2967–2986. https://doi.org/10.1016/j.automatica.2014.10.128 89. Tonoyan, A., Dada, O., & Ayivi-Donkor, S. S. (2021a). Advances in demand forecasting: Machine learning algorithms for revenue projection and financial planning accuracy. Gyanshauryam, 4(1), 282–317. https://doi.org/10.32628/GISRRJ120361 90. Odejobi, O. D., Hammed, N. I., & Ahmed, K. S. (2019). Approximation complexity model for cloud-based database optimization problems. IRE Journals, 2(9), 1–10. 91. Ahmed, K. S., Odejobi, O. D., & Oshoba, T. O. (2019). Algorithmic model for constraint satisfaction in cloud network resource allocation. IRE Journals, 2(12), 516–532. 92. Ahmed, K. S., Odejobi, O. D., & Oshoba, T. O. (2020). Predictive model for cloud resource scaling using machine learning techniques. Journal of Frontiers in Multidisciplinary Research, 1(1), 173–183. www.iiardpub.org 93. Dagodzo, D. (2018a). A conceptual framework for UAV integration into national power grid inspection programs. IRE Journals, 2(5), 391–412. https://doi.org/10.64388/IREV2I51716082 94. Pflug, A., Siemers, M., Melzig, T., Schäfer, L., & Bräuer, G. (2014). Simulation of linear magnetron discharges in 2D and 3D. Surface and Coatings Technology, 260, 411–416. https://doi.org/10.1016/j.surfcoat.2014.09.042 95. Nyberg, T., Högberg, H., Greczynski, G., & Berg, S. (2019). A simple model for non- saturated reactive sputtering processes. Thin Solid Films, 688, 137413. https://doi.org/10.1016/j.tsf.2019.137413 96. Berg, S., Särhammar, E., & Nyberg, T. (2014). Upgrading the ‘Berg-model’ for reactive sputtering processes. Thin Solid Films, 565, 186–192. https://doi.org/10.1016/j.tsf.2014.02.063 97. Karniadakis, G. E., Kevrekidis, I. G., Lu, L., Perdikaris, P., Wang, S., & Yang, L. (2021). Physicsinformed machine learning. Nature Reviews Physics, 3, 422–440. https://doi.org/10.1038/s42254-021-00314-5 98. Elebe, O. (2018). Conceptual model for insider threat classification and risk modeling in complex digital systems. and digital identity verification framework for. 99. Elebe, O. (2021). Conceptual model for identity-centric for detecting synthetic identity fraud in e- zero trust architecture in enterprise security commerce platforms. International Journal of governance. 100. Srinidhi, B., Yan, J., & Bhargava, H. K. (2015). Effect of information security investments on firm performance. Decision Support Systems, 74, 1–15. 101. Akomolafe, O., Olaogun, B. O., Adesuyi, M. O., V. Enhanced Security Requirements for Protecting U. Ndukwe, & Sakyi, J. K. (2021). Smart contract Controlled Unclassified Information, NIST SP automation model for supplier payment systems 800-172, Feb. 2021. and performance benchmarking. International. 102. McKone, K. E., Schroeder, R. G., & Cua, K. O. (2001). The impact of total productive maintenance practices on manufacturing performance. Journal of Operations Management, 19(1), 39–58. https://doi.org/10.1016/S0272-6963(00)00030-9 103. Dal, B., Tugwell, P., & Greatbanks, R. (2000). Overall equipment effectiveness as a measure of operational improvement: A practical analysis. International Journal of Operations & Production Management, 20(12), 1488–1502. https://doi.org/10.1108/01443570010355750 104. Bamber, D., Sharp, C. J., & Hides, M. T. (1999). Factors affecting successful implementation of total productive maintenance: A UK manufacturing case study perspective. Journal of Quality in Maintenance Engineering, 5(3), 162–181. https://doi.org/10.1108/13552519910282601 105. McKone, K. E., Schroeder, R. G., & Cua, K. O. (1999). Total productive maintenance: A contextual view. Journal of Operations Management, 17(2), 123–144. https://doi.org/10.1016/S0272-6963(98)00039-4 106. Tezel, A., Koskela, L., & Tzortzopoulos, P. (2016). Visual management in production management: A literature synthesis. Journal of Manufacturing Technology Management, 27(6), 766–799. https://doi.org/10.1108/JMTM-08-2015-0071 107. Bagavathiappan, S., Lahiri, B. B., Saravanan, T., Philip, J., & Jayakumar, T. (2013). Infrared thermography for condition monitoring: A review. Infrared Physics & Technology, 60, 35–55. https://doi.org/10.1016/j.infrared.2013.03.006 www.iiardpub.org 108. Lee, J., Wu, F., Zhao, W., Ghaffari, M., Liao, L., & Siegel, D. (2014b). Prognostics and health management design for rotary machinery systems: Reviews, methodology and applications. Mechanical Systems and Signal Processing, 42(1), 314–334. https://doi.org/10.1016/j.ymssp.2013.06.004 109. Lei, Y., Li, N., Guo, L., Li, N., Yan, T., & Lin, J. (2018). Machinery health prognostics: A systematic review from data acquisition to RUL prediction. Mechanical Systems and Signal Processing, 104, 799–834. https://doi.org/10.1016/j.ymssp.2017.11.016 110. Saxena, A., Goebel, K., Simon, D., & Eklund, N. (2008). Damage propagation modeling for aircraft engine run-to-failure simulation. in Proc. Int. Conf. Prognostics and Health Management , 1–9. https://doi.org/10.1109/PHM.2008.4711414 111. Zhao, R., Yan, R., Chen, Z., Mao, K., Wang, P., & Gao, R. X. (2019). Deep learning and its applications to machine health monitoring. Mechanical Systems and Signal Processing, 115, 213–237. https://doi.org/10.1016/j.ymssp.2018.05.050 112. Lei, Y., Yang, B., Jiang, X., Jia, F., Li, N., & Nandi, A. K. (2020). Applications of machine learning to machine fault diagnosis: A review and roadmap. Mechanical Systems and Signal Processing, 138(106587), 106587. https://doi.org/10.1016/j.ymssp.2019.106587 113. Lee, J., Kao, H.-A., & Yang, S. (2014a). Service innovation and smart analytics for Industry 4.0 and big data environment. Procedia CIRP, 16, 3–8. https://doi.org/10.1016/j.procir.2014.02.001 114. Zonta, T., Costa, C. A. da, R. da Rosa Righi, Lima, M. J. de, Trindade, E. S. da, & Li, G. P. (2020). Predictive maintenance in the Industry 4.0: A systematic literature review. Computers & Industrial Engineering, 150(106889), 106889. https://doi.org/10.1016/j.cie.2020.106889 115. Tao, F., Zhang, M., Liu, Y., & Nee, A. Y. C. (2018b). Digital twin driven prognostics and health management for complex equipment. CIRP Annals, 67(1), 169–172. https://doi.org/10.1016/j.cirp.2018.04.055 116. Selcuk, S. (2017). Predictive maintenance, its implementation and latest trends. Proceedings of the Institution of Mechanical Engineers, 231(9), 1670–1679. https://doi.org/10.1177/0954405415601640 117. Ambali, K. B., Eyetsemitan, R. A., Oyeleye, A. O., & Fadayomi, O. (2021b). Lean Six Sigma for small enterprises: A systematic review and Lite-DMAIC adaptation framework for resourceconstrained organizations. IRE Journals, 5(5), 562–583. https://doi.org/10.64388/IREV5I5-1716957 118. Okonkwo, C. S., Ogunwole, O., & Okeke, O. T. (2018a). Model for inventory availability and plant uptime improvement in energy facilities. IRE Journals, 2(4), 160–172. https://doi.org/10.64388/IREV2I4-1713120 119. Obogo, S. F., Arumosoye, O. M., & Obriki, O. D. (2020a). Critical review of occupational safety management systems in oil and gas maintenance projects. Shodhshauryam, 3(4), 145–166. https://doi.org/10.32628/SHISRRJ214442 120. Peng, Y., Dong, M., & Zuo, M. J. (2010). Current status of machine prognostics in condition-based maintenance: A review. The International Journal of Advanced Manufacturing Technology, 50(1), 297–313. https://doi.org/10.1007/s00170-009-2482-0 121. Liu, H.-C., Liu, L., & Liu, N. (2013). Risk evaluation approaches in failure mode and effects analysis: A literature review. Expert Systems with Applications, 40(2), 828–838. https://doi.org/10.1016/j.eswa.2012.08.010 www.iiardpub.org 122. Antoni, J. (2007). Fast computation of the kurtogram for the detection of transient faults. Mechanical Systems and Signal Processing, 21(1), 108–124. https://doi.org/10.1016/j.ymssp.2005.12.002 123. Lei, Y., Lin, J., Zuo, M. J., & He, Z. (2014). Condition monitoring and fault diagnosis of planetary gearboxes: A review. Measurement, 48, 292–305. https://doi.org/10.1016/j.measurement.2013.11.012 124. Lei, Y., Jia, F., Lin, J., Xing, S., & Ding, S. X. (2016). An intelligent fault diagnosis method using unsupervised feature learning towards mechanical big data. IEEE Transactions on Industrial Electronics, 63(5), 3137–3147. https://doi.org/10.1109/TIE.2016.2519325 125. Wen, L., Li, X., Gao, L., & Zhang, Y. (2018). A new convolutional neural network-based data-driven fault diagnosis method. IEEE Transactions on Industrial Electronics, 65(7), 5990–. https://doi.org/10.1109/TIE.2017.2774777 126. Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018a). Digital twin-driven product design, manufacturing and service with big data. The International Journal of Advanced Manufacturing Technology, 94(9), 3563–3576. https://doi.org/10.1007/s00170- 0170233-1 127. Errandonea, I., Beltrán, S., & Arrizabalaga, S. (2020). Digital twin for maintenance: A literature review. Computers in Industry, 123, 103316. https://doi.org/10.1016/j.compind.2020.103316 128. Cannon, M. D., & Edmondson, A. C. (2005). Failing to learn and learning to fail (intelligently): How great organizations put failure to work to innovate and improve. Long Range Planning, 38(3), 299–319. https://doi.org/10.1016/j.lrp.2005.04.005 129. Edmondson, A. C. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350–383. https://doi.org/10.2307/2666999 130. Cook, R. I. (1998). How complex systems fail. Cognitive Technologies Laboratory, University of Chicago. https://how.complexsystems.fail/ 131. Mbonu, I. S., Aliliele, C., Iwuanyanwu, U., & Oluoha, O. M. (2018). A conceptual framework for legal and ethical risk modeling in enterprise data protection governance systems. Iconic Research and Engineering Journals, 2(2), 207-226. https://doi.org/10.64388/IREV2I2-1714911 132. Mbonu, I. S., Aliliele, C., Iwuanyanwu, U., & Uzoka, E. (2020a). A review of identity and access management integration strategies in hybrid and multi cloud environments. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 795-810. https://doi.org/10.54660/.IJMRGE.2020.1.5.795-810 133. Mbonu, I. S., Aliliele, C., Iwuanyanwu, U., & Uzoka, E. (2021a). A conceptual framework for risk based business intelligence architecture in financial technology platforms. International Journal of Multidisciplinary Research and Growth Evaluation, 2(6), 731-746. https://doi.org/10.54660/.IJMRGE.2021.2.6.731-746 134. Mbonu, I. S., Aliliele, C., Iwuanyanwu, U., & Uzoka, E. (2021b). Advances in artificial intelligence techniques for secure software testing and automated regression control mechanisms. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 7(5), 468-496. https://doi.org/10.32628/CSEIT217565 135. Mbonu, I. S., Aliliele, C., Uzoka, E., & Oluoha, O. M. (2019a). A review of comparative data protection regulations and secure cloud implementation strategies across jurisdictions. www.iiardpub.org Iconic Research and Engineering Journals, 2(9), 482-501. https://doi.org/10.64388/IREV2I9-1714912 136. Mbonu, I. S., Iwuanyanwu, U., Aliliele, C., & Uzoka, E. (2020b). A conceptual framework for agile supply chain digital transformation with embedded IT risk and ISO compliance controls. Iconic Research and Engineering Journals, 3(11), 566-593. https://doi.org/10.64388/IREV3I11-1714916 137. Mbonu, I. S., Iwuanyanwu, U., Aliliele, C., & Uzoka, E. (2020c). Advances in infrastructure as code governance for secure terraform based enterprise cloud deployments. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 811-828. https://doi.org/10.54660/.IJMRGE.2020.1.5.811-828 138. Mbonu, I. S., Iwuanyanwu, U., Aliliele, C., & Uzoka, E. (2021c). A review of VoIP forensic analytics models for financial fraud detection and regulatory compliance monitoring. International Journal of Multidisciplinary Research and Growth Evaluation, 2(6), 711-730. https://doi.org/10.54660/.IJMRGE.2021.2.6.711-730 139. Mbonu, I. S., Iwuanyanwu, U., Uzoka, E., & Oluoha, O. M. (2019b). Advances in enterprise log analytics and automated incident response architectures using Python and SIEM platforms. Iconic Research and Engineering Journals, 3(2), 1000-1019. https://doi.org/10.64388/IREV3I2-1714915 140. Aifuwa, S. E., Oshoba, T. O., Ogbuefi, E., Ike, P. N., Nnabueze, S. B., & Olatunde-Thorpe, J. (2020). Predictive analytics models enhancing supply chain demand forecasting accuracy and reducing inventory management inefficiencies. International Journal of Multidisciplinary Research and Growth Evaluation, 1(3), 171-181. https://doi.org/10.54660/.IJMRGE.2020.1.3.171-181 141. Ike, P. N., Ogbuefi, E., Nnabueze, S. B., Olatunde-Thorpe, J., Aifuwa, S. E., Oshoba, T. O., & Akokodaripon, D. (2021). Supplier relationship management strategies fostering innovation, collaboration, and resilience in global supply chain ecosystems. International Journal of Multidisciplinary Evolutionary Research, 2(2), 52-62. https://doi.org/10.54660/IJMER.2021.2.2.52-62 142. Nnabueze, S. B., Ike, P. N., Olatunde-Thorpe, J., Aifuwa, S. E., Oshoba, T. O., Ogbuefi, E., & Akokodaripon, D. (2021). End-to-end visibility frameworks improving transparency, compliance, and traceability across complex global supply chain operations. International Journal of Multidisciplinary Futuristic Development, 2(2), 50-60. https://doi.org/10.54660/IJMFD.2021.2.2.50-60 143. Yeboah, B. K., & Ike, P. N. (2020). Programmatic strategy for renewable energy integration: Lessons from large-scale solar projects. International Journal of Multidisciplinary Research and Growth Evaluation, 1(3), 306-315. https://doi.org/10.54660/.IJMRGE.2020.1.3.306-315 144. Dekker, S. (2014). The field guide to understanding ‘human error’ (3rd ed.). Ashgate. 145. Hollnagel, E. (2014). Safety-I and Safety-II: The past and future of safety management. Ashgate. 146. Hollnagel, E., Woods, D. D., & Leveson, N. (Eds.). (2006). Resilience engineering: Concepts and precepts. Ashgate. 147. Badmus, O., Dosunmu, A. A., Ozowara, D. E., & Anunagba, C. O. (2020). A comparative framework for Salesforce DevOps tooling: Evaluating Copado, Flosum, and Salesforce DX across enterprise deployment contexts. International Journal of Multidisciplinary Research www.iiardpub.org and Growth Evaluation, 1(5), 1021-1031. https://doi.org/10.54660/.IJMRGE.2020.1.5.1021-1031 148. Ladapo, O. O., Dosunmu, A. A., Jooda, D., & Abolaji, T. O. (2018). Lessons learned from offline assessment of security-critical systems: The case of Microsoft Active Directory. Iconic Research and Engineering Journals, 2(6), 277-299. https://doi.org/10.64388/IREV2I6-1717205 149. Ladapo, O. O., Jooda, D., Dosunmu, A. A., & Abolaji, T. O. (2019). Implementation of Active Directory for efficient management of enterprise networks. Iconic Research and Engineering Journals, 3(4), 608-627. https://doi.org/10.64388/IREV3I4-1717206 150. Sanni, J. O., & Atima, M. E. (2021a). Analytics driven go to market frameworks addressing compliance sustainability complexity. International Journal of Multidisciplinary Research and Growth Evaluation, 2(6), 647-660. 151. Sanni, J. O., & Atima, M. E. (2021b). Business intelligence dashboard frameworks resolving executive visibility gaps in strategic marketing governance. International Journal of Multidisciplinary Research and Growth Evaluation, 2(6), 633-646. https://doi.org/10.54660/IJMRGE.2021.2.6.633-646 152. Sanni, J. O., Ajiga, D., & Atima, M. E. (2020a). Analytical models addressing measurement challenges of marketing return on investment in regulated services. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 636-648. https://doi.org/10.54660/IJMRGE.2020.1.5.636-648 153. Sanni, J. O., Ajiga, D., & Atima, M. E. (2020b). Data driven brand positioning frameworks resolving differentiation challenges in regulated professional markets. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 649-660. https://doi.org/10.54660/IJMRGE.2020.1.5.649-660 154. Sanni, J. O., Ajiga, D., & Atima, M. E. (2020c). Systematic review of product management strategies in mobile network rollouts across emerging markets. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 661-673. https://doi.org/10.54660/IJMRGE.2020.1.5.661-673 155. Agbabiaka, J., Okonkwo, C. S., Ogunwole, O., Mayo, W., & Okeke, O. T. (2019). Supply chain risk management model for EPC and gas processing projects. Iconic Research and Engineering Journals, 3(2), 968-980. https://doi.org/10.64388/IREV3I2-1713124 156. Ahiaeke Patrick, M. C., Okonkwo, C. S., Mayo, W., & Okeke, O. T. (2020). A GIS enabled framework for modern ERP procurement processes. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 499-508. https://doi.org/10.54660/IJMRGE.2020.1.5.499-508 157. Ahiaeke Patrick, M. C., Okonkwo, C. S., Mayo, W., & Okeke, O. T. (2021). Model for data driven vendor evaluation and bid selection using geospatial intelligence. Shodhshauryam, International Scientific Refereed Research Journal, 4(4), 426-443. https://doi.org/10.32628/SHISRRJ214461 158. Ogunwole, O., Okonkwo, C. S., Agbabiaka, J., Mayo, W., & Okeke, O. T. (2021). Supply chain resilience framework for critical infrastructure and gas processing plants. Shodhshauryam, International Scientific Refereed Research Journal, 4(4), 444-461. https://doi.org/10.32628/SHISRRJ214462 159. Okonkwo, C. S., Agbabiaka, J., Ogunwole, O., Mayo, W., & Okeke, O. T. (2020). Model for demurrage elimination and port logistics efficiency in emerging economies. www.iiardpub.org International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 552-562. https://doi.org/10.54660/IJMRGE.2020.1.5.552-562 160. Okonkwo, C. S., Agbabiaka, J., Ogunwole, O., Mayo, W., & Okeke, O. T. (2021a). Conceptual model for materials readiness and maintenance-driven supply chain performance. International Journal of Multidisciplinary Research and Growth Evaluation, 2(6), 584-594. https://doi.org/10.54660/IJMRGE.2021.2.6.584-594 161. Okonkwo, C. S., Ogunwole, O., & Okeke, O. T. (2018b). Framework for strategic procurement optimization in oil and gas operations. Iconic Research and Engineering Journals, 1(7), 153-168. https://doi.org/10.64388/IREV1I7-1713119 162. Okonkwo, C. S., Ogunwole, O., & Okeke, O. T. (2018c). Model for inventory availability and plant uptime improvement in energy facilities. Iconic Research and Engineering Journals, 2(4), 160-172. https://doi.org/10.64388/IREV2I4-1713120 163. Okonkwo, C. S., Ogunwole, O., Mayo, W., & Okeke, O. T. (2021b). Framework for regulatory-compliant procurement in high-risk energy environments. International Journal of Multidisciplinary Research and Growth Evaluation, 2(6), 595-605. https://doi.org/10.54660/IJMRGE.2021.2.6.595-605 164. Okonkwo, C. S., Ogunwole, O., Okeke, O. T., & Mayo, W. (2019). Conceptual framework for cost reduction through contract negotiation and vendor governance. Iconic Research and Engineering Journals, 2(9), 468-482. https://doi.org/10.64388/IREV2I9-1713121 165. Ambali, K. B., Eyetsemitan, R. A., Oyeleye, A. O., & Fadayomi, O. (2021a). Lean Six Sigma for small enterprises: A systematic review and Lite-DMAIC adaptation framework for resource-constrained organizations. Iconic Research and Engineering Journals, 5(5), 562-583. https://doi.org/10.64388/IREV5I5-1716957 166. Eyetsemitan, R. A., Ambali, K. B., Oyeleye, A. O., & Fadayomi, O. (2020). Multi- stakeholder governance alignment in joint venture operations: A conceptual framework for coordinating business processes in highly regulated environments. Iconic Research and Engineering Journals, 4(4), 418-441. https://doi.org/10.64388/IREV4I4-1716955 167. Eyetsemitan, R. A., Ambali, K. B., Oyeleye, A. O., & Fadayomi, O. (2021). Translating tax and regulatory requirements into SME compliance workflows: A conceptual framework for implementing IAS 12, VAT, PAYE, and withholding tax. Iconic Research and Engineering Journals, 4(11), 621-641. https://doi.org/10.64388/IREV4I11-1716956 168. Bola-Sadipe, D., Aliliele, C., & Eboh, E. E. (2019). Conceptual model for strategic accounting systems strengthening financial transparency and regulatory compliance. IRE Journals, 3(6), 535-564. https://doi.org/10.64388/IREV3I6-1715327 169. Dada, T., Isiekwu, C. P., & Oluwo, K. (2021a). Advances in multinational cash flow consolidation and FX risk control using tiered treasury architecture. Iconic Research and Engineering Journals, 4(11), 601–620. https://doi.org/10.64388/IREV4I11-1714351 170. Dada, T., Isiekwu, C. P., & Oluwo, K. (2021b). Designing CRM-based sales forecasting models for multichannel lending institutions. Iconic Research and Engineering Journals, 5(3), 451–466. https://doi.org/10.64388/IREV5I3-1714352 171. Akeju, B., Edivri, J., Ogbole, J. I., Okoruwa, P. O., Fadayomi, O., & Abolaji, T. O. (2018). Conceptual model for insider threat classification and risk modeling in complex digital systems. Iconic Research and Engineering Journals, 1(9), 476–492. https://doi.org/10.64388/IREV1I9-1713778 172. Fadayomi, O., Abolaji, T. O., Edivri, J., Ogbole, J. I., Okoruwa, P. O., & Akeju, B. (2019). Risk-based cybersecurity assurance and data availability limitations, advances and future www.iiardpub.org research opportunities. Iconic Research and Engineering Journals, 2(12), 602–617. https://doi.org/10.64388/IREV2I12-1713779 173. Mayo, W., Ogbole, J. I., Okoruwa, P. O., & Babatope, O. M. (2021). Designing an AI- predictive maintenance model for e-commerce systems using machine learning and cloud analytics. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 7(5), 416–440. https://doi.org/10.32628/IJSRCSEIT 174. Ogbole, J. I., Okoruwa, P. O., Babatope, O. M., & Oyewole, T. (2021a). Developing an integrated data visualization model for continuous business performance monitoring and optimization. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 7(5), 441–467. https://doi.org/10.32628/IJSRCSEIT 175. Okojie, J. S., Filani, O. M., Ihwughwavwe, S. I., & Sakyi, J. K. (2020). Sustainable procurement practices: ESG-integrated supply chain models for corporate responsibility and environmental performance. IRE Journals, 4(2). 176. Michael, O. N., & Ogunsola, O. E. (2021b). Assessing the role of digital agriculture tools in shaping sustainable and inclusive food systems. Gyanshauryam, International Scientific Refereed Research Journal, 4(4), 154-181. 177. Aminu-Ibrahim, A. Y., Ogbete, J. C., & Ambali, K. B. (2018). Developing sustainable diagnostic laboratory infrastructure models for emerging and resource constrained health systems. Iconic Research and Engineering Journals, 1(8), 118-132. https://doi.org/10.64388/IREV1I8-1713586 178. Aminu-Ibrahim, A. Y., Ogbete, J. C., & Ambali, K. B. (2019). Capital project delivery models for high risk healthcare infrastructure in developing national health systems. Iconic Research and Engineering Journals, 2(10), 626-649. https://doi.org/10.64388/IREV2I10- 1713588 179. Aminu-Ibrahim, A. Y., Ogbete, J. C., & Ambali, K. B. (2020). Infrastructure driven expansion of diagnostic access across underserved and rural healthcare regions. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 691-706. https://doi.org/10.54660/IJMRGE.2020.1.5.691-706 180. Ogbete, J. C., Aminu-Ibrahim, A. Y., & Ambali, K. B. (2018). Optimizing laboratory spatial planning strategies to improve diagnostic accuracy, safety, and clinical throughput. Iconic Research and Engineering Journals, 2(1), 87-113. https://doi.org/10.64388/IREV1I7-1713587 181. Ogbete, J. C., Aminu-Ibrahim, A. Y., & Ambali, K. B. (2019). Regulatory compliant design systems for molecular and pathology laboratories in highly controlled environments. Iconic Research and Engineering Journals, 3(4), 607-631. https://doi.org/10.64388/IREV3I4- 1713589 182. Ogbete, J. C., Aminu-Ibrahim, A. Y., & Ambali, K. B. (2020). Sustainable materials selection and energy efficiency strategies for modern medical laboratory facilities. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 674-690. https://doi.org/10.54660/IJMRGE.2020.1.5.674-690 183. Ogbete, J. C., Aminu-Ibrahim, A. Y., & Ambali, K. B. (2021). Risk managed construction strategies for complex and highly regulated healthcare facility developments. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 7(5), 362-392. https://doi.org/10.32628/CSEIT217561 www.iiardpub.org 184. Arumosoye, O. M., & Obriki, O. D. (2018). Development of an integrated heat stress risk conceptual model for industrial operations in extreme environments. Iconic Research and Engineering Journals, 1(12), 141-160. https://doi.org/10.64388/IREV1I12-1714415 185. Arumosoye, O. M., & Obriki, O. D. (2019). Systematic review of near-miss and hazard observation data utilization in industrial safety management. Iconic Research and Engineering Journals, 3(2), 981-999. https://doi.org/10.64388/IREV3I2-1714417 186. Arumosoye, O. M., & Obriki, O. D. (2020). A governance-oriented conceptual model for contractor safety performance in multi-contract industrial projects. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 728-740. https://doi.org/10.54660/.IJMRGE.2020.1.5.728-740 187. Arumosoye, O. M., & Obriki, O. D. (2021). Organizational learning-based conceptual maturity model for continuous safety performance improvement. International Journal of Multidisciplinary Research and Growth Evaluation, 2(1), 970-980. https://doi.org/10.54660/.IJMRGE.2021.2.1.970-980 188. Obogo, S. F., Arumosoye, O. M., & Obriki, O. D. (2020b). Advances in internal QHSE audit systems for industrial engineering operations. Iconic Research and Engineering Journals, 4(4), 399-417. https://doi.org/10.64388/IREV4I4-1715499 189. Obogo, S. F., Arumosoye, O. M., & Obriki, O. D. (2020c). Conceptual risk management model for heavy lifting and crane installation engineering operations. Shodhshauryam, International Scientific Refereed Research Journal, 3(4), 122-144. https://doi.org/10.32628/SHISRRJ214441 190. Obogo, S. F., Arumosoye, O. M., & Obriki, O. D. (2020d). Critical review of occupational safety management systems in oil and gas maintenance projects. Shodhshauryam, International Scientific Refereed Research Journal, 3(4), 145-166. https://doi.org/10.32628/SHISRRJ214442 191. Obogo, S. F., Arumosoye, O. M., & Obriki, O. D. (2021a). Advances in proactive hazard recognition and near miss reporting systems. International Journal of Multidisciplinary Research and Growth Evaluation, 2(6), 835-846. https://doi.org/10.54660/IJMRGE.2021.2.6.835-846 192. Obogo, S. F., Obriki, O. D., & Arumosoye, O. M. (2021b). Conceptual model for incident prevention in industrial maintenance engineering environments. International Journal of Multidisciplinary Research and Growth Evaluation, 2(6), 847-858. https://doi.org/10.54660/IJMRGE.2021.2.6.847-858 193. Obogo, S. F., Ozobu, C. O., & Uduokhai, D. O. (2019a). Advances in leadership driven safety culture transformation in large construction workforces. Iconic Research and Engineering Journals, 3(5), 507-523. https://doi.org/10.64388/IREV3I5-1715497 194. Obogo, S. F., Ozobu, C. O., & Uduokhai, D. O. (2019b). Development of a construction safety risk governance model for multi contractor high rise projects. Iconic Research and Engineering Journals, 2(9), 502-522. https://doi.org/10.64388/IREV2I9-1715495 195. Obogo, S. F., Uduokhai, D. O., & Ozobu, C. O. (2019c). Systematic review of hazard identification and risk control practices in urban construction projects. Iconic Research and Engineering Journals, 2(12), 666-681. https://doi.org/10.64388/IREV2I12-1715496 196. Obogo, S. F., Uduokhai, D. O., & Ozobu, C. O. (2021c). Review of contractor safety compliance systems in infrastructure engineering projects. International Journal of Scientific Research in Civil Engineering, 5(4), 76-100. https://doi.org/10.32628/IJSRCE215412 www.iiardpub.org 197. Obriki, O. D., & Arumosoye, O. M. (2018). Conceptual modeling of data-driven occupational safety risk control in large-scale energy infrastructure projects. Iconic Research and Engineering Journals, 1(7), 169-189. https://doi.org/10.64388/IREV1I7- 1714414 198. Obriki, O. D., & Arumosoye, O. M. (2019). A conceptual framework linking management safety walkthrough frequency and coverage to safety culture outcomes in mega projects. Iconic Research and Engineering Journals, 2(8), 355-374. https://doi.org/10.64388/IREV2I8-1714416 199. Obriki, O. D., & Arumosoye, O. M. (2020). Conceptual framework for human error causation in high-risk construction and industrial activities. International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 715-727. https://doi.org/10.54660/.IJMRGE.2020.1.5.715-727 200. Obriki, O. D., & Arumosoye, O. M. (2021). Conceptual model for institutionalizing life- preserving safety practices across project-based organizations. International Journal of Multidisciplinary Research and Growth Evaluation, 2(1), 961-969. https://doi.org/10.54660/.IJMRGE.2021.2.1.961-969 201. Dagodzo, D. (2018b). A conceptual framework for UAV integration into national power grid inspection programs. Iconic Research and Engineering Journals, 2(5), 391-412. https://doi.org/10.64388/IREV2I5-1716082 202. Dagodzo, D. (2018c). A review of UAV applications in electrical transmission line inspection: Methods, technologies, and challenges. Iconic Research and Engineering Journals, 2(6), 234-254. https://doi.org/10.64388/IREV2I6-1716083 203. Dagodzo, D., & Ahiaeke Patrick, M. C. (2020). UAV-based pipeline and corridor monitoring: A review of current practices and emerging technologies. Iconic Research and Engineering Journals, 3(10), 574-597. https://doi.org/10.64388/IREV3I10-1716084 204. Dagodzo, D., & Ahiaeke Patrick, M. C. (2021a). A review of GIS applications in utility asset management and infrastructure planning. Iconic Research and Engineering Journals, 5(3), 468-492. https://doi.org/10.64388/IREV5I3-1716085 205. Dagodzo, D., & Ahiaeke Patrick, M. C. (2021b). An integrated framework for UAV, LiDAR, and GIS in infrastructure corridor management. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 7(5), 497-524. https://doi.org/10.32628/CSEIT217566 206. Sunday, E. A., & Omoegun, G. O. (2018). Integrating solar power solutions in small-scale manufacturing industries in Nigeria. International Journal of Scientific Research in Science, Engineering and Technology, 4(8), 832-853. 207. Sunday, E. A., & Omoegun, G. O. (2019). Optimizing electrical load distribution for hybrid solar installations in developing economies. International Journal of Scientific Research in Mechanical and Materials Engineering, 3(6), 27-47. 208. Sunday, E. A., Omoegun, G. O., Essien, M. A., & Oluokun, O. A. (2019). Thermodynamic efficiency and control strategies in residential air conditioning systems. International Journal of Scientific Research in Civil Engineering, 3(3), 52-76. 209. Sunday, E. A., Omoegun, G. O., Essien, M. A., & Oluokun, O. A. (2020b). Transitioning from reactive to predictive maintenance in mechanical systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 6(6), 425-447. www.iiardpub.org 210. Boakye, K., Ofori, S. D., Ogbona, C. S., Yeboah, T. J., & Bobga, M. A. (2020). Integrating ICT and mathematical thinking: Exploring the effectiveness of digital tools in secondary mathematics instruction. Iconic Research and Engineering Journals, 4(4), 372-398. https://doi.org/10.64388/IREV4I4-1714179 211. Boakye, K., Ofori, S. D., Ogbona, C. S., Yeboah, T. J., & Bobga, M. A. (2021). Bridging the gap: A comparative study of mathematics curriculum reforms in Ghana and the United States. Iconic Research and Engineering Journals, 5(3), 429-450. https://doi.org/10.64388/IREV5I3-1714180 212. Bobga, M. A., Boakye, K., Ogbona, C. S., & Yeboah, T. J. (2018). Pedagogical strategies for teaching students with learning difficulties in resource-constrained schools. Iconic Research and Engineering Journals, 2(4), 173-194. https://doi.org/10.64388/IREV2I4- 1714176 213. Lilian, I. N., Liadi, K. O., Yeboah, T. J., & Apelehin, A. A. (2020). Understanding cross- cultural communication: Identity, diversity, and global interaction. Gyanshauryam, International Scientific Refereed Research Journal, 3(4), 153-176. https://doi.org/10.32628/GISRRJ21352 214. Ogbona, C. S., Yeboah, T. J., Bobga, M. A., & Boakye, K. (2020a). Coaching education and career transition pathways: Comparative perspectives from Nigeria and the United States. Iconic Research and Engineering Journals, 4(5), 367-384. https://doi.org/10.64388/IREV4I5-1714566 215. Ogbona, C. S., Yeboah, T. J., Bobga, M. A., & Boakye, K. (2020b). Parental collaboration and student progress: Understanding home-school partnerships in special education. Iconic Research and Engineering Journals, 3(10), 552-573. https://doi.org/10.64388/IREV3I10- 1714178 216. Yeboah, T. J., Bobga, M. A., Boakye, K., & Ogbona, C. S. (2019). Professional development and teacher competence in managing exceptional learners: A Ghanaian perspective. Iconic Research and Engineering Journals, 2(12), 618-636. https://doi.org/10.64388/IREV2I12-1714177 217. Amayo, E. B. (2017). Multi algorithm of loss objective function of a single phase induction motor. International Journal of Development Research, 7(5), 12805-12810. 218. Amayo, E. B., & Popoola, T. T. (2017a). Multi algorithm of weight objective function of a single phase induction motor. International Journal of Trend in Research and Development, 4(2), 184-188. 219. Amayo, E. B., & Popoola, T. T. (2017b). Scientific study of telecommunication deployment in achieving quality network. International Journal of Trend in Research and Development, 4(5), 311-314. 220. Amayo, E. B., Ubeku, E., & Oshevire, P. (2015). Multi algorithm of a single objective function of a single phase induction motor. Journal of Multidisciplinary Engineering Science and Technology, 2(12), 3400-3403. 221. Oshevire, P., Eyenubo, O. J., & Amayo, B. (2017). Voltage control in the presence of distributed generation. ATBU Journal of Science, Technology and Education, 5(2), 165- 173. 222. Okojie, J. S., & Abioye, R. F. (2020). Reconciling chemical safety with circular-economy targets: A decision framework for post-consumer recycled polymers in consumer-goods packaging balancing REACH compliance, lifecycle GHG footprint, and regulatory risk. www.iiardpub.org International Journal of Multidisciplinary Research and Growth Evaluation, 1(5), 992- 1006. 223. Komi, N. M., & Adeniji, I. O. (2020). Co-optimizing technical performance and community affordability in smart solar microgrids for underserved regions. International Journal of Engineering and Modern Technology, 6(3), 173-212. https://doi.org/10.56201/ijemt..pg173.212 224. Adeyelu, O. O. (2019). An adaptive safety management system implementation model for aerodromes in developing economy contexts. Iconic Research and Engineering Journals, 3(4), 628-654. https://doi.org/10.64388/IREV3I4-1718479 225. Dogbatsey, E. A., & Ebhojie, O. (2018). Budget compliance and statutory reporting in Sub- Saharan Africa: A systematic review of frameworks, gaps, and reform pathways. Zenodo. https://doi.org/10.5281/zenodo.20446859 226. Dogbatsey, E. A., Ebhojie, O., & Oyeleye, A. O. (2019). Reconciliation control and financial workflow redesign in emerging market organizations: A conceptual framework. Zenodo. https://doi.org/10.5281/zenodo.20447103 227. Atakpa, M. I. (2021). A review of predictive analytics models for anti-money laundering detection in commercial banking systems. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 7(2), 778-804. https://doi.org/10.32628/CSEIT2064813 228. Ilodigwe, L., & Adesemoye, A. C. (2019a). A critical review of health insurance financing mechanisms and provider payment reform strategies for balancing coverage expansion and financial protection in emerging markets. International Journal of Health and Pharmaceutical Research, 5(2), 31-55. https://doi.org/10.56201/ijhpr..pg31.55 229. Ilodigwe, L., & Adesemoye, A. C. (2019b). From molecules to health systems: A conceptual model explaining why scientific innovation fails to improve patient outcomes without effective healthcare delivery infrastructure. International Journal of Health and Pharmaceutical Research, 5(2), 56-79. https://doi.org/10.56201/ijhpr..pg56.79 230. Ilodigwe, L., & Adesemoye, A. C. (2020). Advances in pharmacy-led delivery and access models for strengthening primary healthcare systems and expanding medicine availability in emerging markets. International Journal of Health and Pharmaceutical Research, 5(3), 78-96. https://doi.org/10.56201/ijhpr..pg78.96 231. Ilodigwe, L., & Adesemoye, A. C. (2021). The data backbone of health system transformation: A governance and architecture framework for interoperability, data quality, and advanced analytics at national scale. International Journal of Health and Pharmaceutical Research, 6(2), 52-76. https://doi.org/10.56201/ijhpr..pg52.76