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A Conceptual Framework for Developing Risk-Based Internal Control Models in the Insurance and Banking Sectors

Olawole Akomolafe Michael Uzoma Agu

Subject area: Science,Engineering and Technology  ·  Area of research: Insurance and Banking Sectors

Abstract

Risk-based internal control (RBIC) is now a critical pillar of financial-sector governance, particularly within banking and insurance institutions whose risk exposures are complex, interdependent, and constantly evolving. Despite the existence of major regulatory doctrines such as Basel II/III and Solvency II, many institutions continue to rely on fragmented or compliance-oriented control systems that fail to align control processes with the organisation?s risk profile. This paper develops a conceptual framework for RBIC tailored to the unique operational and regulatory environments of banking and insurance organisations. Drawing exclusively from literature published up to 2017, the study synthesises internal control theory, enterprise risk management (ERM), risk governance research, behavioural models, and financial regulation scholarship. The introduction and literature review critically examine the evolution of internal control, the emergence of risk-based approaches, sector-specific vulnerabilities, regulatory pressures, and implementation challenges. The conceptual framework integrates five core pillars: governance and architecture, risk identification and assessment, control design, information and communication infrastructure, and monitoring and assurance. The framework provides a structured and theoretically grounded approach to strengthening RBIC, enabling financial institutions to enhance resilience, accountability, and supervisory compliance.

Keywords

Risk-Based Internal Control, Risk Governance, Banking Internal Controls, Insurance Risk Management, Enterprise Risk Management, Internal Audit.

References

[1] T. Franke and D. zu Knyphausen-Aufsess, “On dominant logic: review and synthesis,” Journal of Business Economics, vol. 84, no. 1, pp. 27–70, Jan. 2014,

[2] B. Boyce, “Emerging Technology and the Health Insurance Portability and Accountability Act,” J Acad Nutr Diet, vol. 117, no. 4, pp. 517–518, Apr. 2017,

[3] A. S. Moriya, W. B. Vogt, and M. Gaynor, “Hospital prices and market structure in the hospital and insurance industries,” Health Econ Policy Law, vol. 5, no. 4, pp. 459–479, Oct. 2010, 10.1017/S1744133110000083.

[4] A. C. T. Smith, F. Sutherland, and D. H. Gilbert, “Changing Forms of Organizing,” Reinventing Innovation, pp. 19–33, 2017, 319-57213-0_2.

[5] E. Heo, J. Kim, and S. Cho, “Selecting hydrogen production methods using fuzzy analytic hierarchy process with opportunities, costs, and risks,” Int J Hydrogen Energy, vol. 37, no. 23, pp. 17655–17662, Dec. 2012,

[6] T. Aven, “Risk assessment and risk management: Review of recent advances on their foundation,” Eur J Oper Res, vol. 253, no. 1, pp. 1–13, Aug. 2016, 10.1016/j.ejor.2015.12.023.

[7] R. R. Sinkovics and A. S. Roath, “Cultivating learning and fostering flexibility in international distribution,” der markt, vol. 51, no. 1, pp. 3–12, Mar. 2012,

[8] F. Aqlan and S. S. Lam, “Supply chain risk modelling and mitigation,” Int J Prod Res, vol. 53, no. 18, pp. 5640–5656, Sep. 2015, 10.1080/00207543.2015.1047975.

[9] B. B. Schlegelmilch and S. Ram, “The impact of organizational and environmental variables on strategic market orientation: An empirical investigation,” Journal of Global Marketing, vol. 13, no. 3, pp. 111–127, 2000, 10.1300/J042V13N03_06.

[10] K. Foerstl, C. Reuter, E. Hartmann, and C. Blome, “Managing supplier sustainability risks in a dynamically changing environment-Sustainable supplier management in the chemical industry,” Journal of Purchasing and Supply Management, vol. 16, no. 2, pp. 118–130, Jun. 2010, 10.1016/j.pursup.2010.03.011.

[11] F. Graetz, “Strategic change leadership,” Management Decision, vol. 38, no. 8, pp. 550–564, Oct. 2000,

[12] A. C. T. Smith, F. Sutherland, and D. H. Gilbert, “The Innovation Imperative,” Reinventing Innovation, pp. 1–17, 2017, 57213-0_1.

[13] D. O. Ulrich and N. Smallwood, “Intangibles and Stock Prices: How Leaders Build Market Value,” Investor Marketing, pp. 261–277, 2003, 10.1007/978-3-322-90350-1_20.

[14] A. Zafer Acar and C. Zehir, “Development and validation of a multidimensional business capabilities measurement instrument,” Journal of Transnational Management, vol. 14, no. 3, pp. 215–240, 2009, 10.1080/15475770903127050.

[15] C. Bart and A. Pujari, “The performance impact of content and process in product innovation charters,” Journal of Product Innovation Management, vol. 24, no. 1, pp. 3–19, Jan. 2007, 5885.2006.00229.X.

[16] O. Khan and B. Burnes, “Risk and supply chain management: Creating a research agenda,” The International Journal of Logistics Management, vol. 18, no. 2, pp. 197–216, Aug. 2007, 10.1108/09574090710816931.

[17] A. Lopez-Cabrales, R. Valle, and I. Herrero, “The contribution of core employees to organizational capabilities and efficiency,” Hum Resour Manage, vol. 45, no. 1, pp. 81–109, Mar. 2006, 10.1002/HRM.20094.

[18] S. L. Margolis and C. D. Hansen, “Visions to Guide Performance: A Typology of Multiple Future Organizational Images,” Performance Improvement Quarterly, vol. 16, no. 4, pp. 40–58, Oct. 2008, 10.1111/J.1937-8327.2003.TB00293.X.

[19] T. Wang, D. Libaers, and H. Jiao, “Opening the Black Box of Upper Echelons in China: TMT Attributes and Strategic Flexibility,” Journal of Product Innovation Management, vol. 32, no. 5, pp. 685–703, Sep. 2015,

[20] T. Biedenbach, “The power of combinative capabilities: Facilitating the outcome of frequent innovation in pharmaceutical R&D projects,” Project Management Journal, vol. 42, no. 2, pp. 63–80, Mar. 2011,

[21] A. Z. Acar and C. Zehir, “The harmonized effects of generic strategies and business capabilities on business performance,” Journal of Business Economics and Management, vol. 11, no. 4, pp. 689– 711, 2010,

[22] S. J. Grawe, P. J. Daugherty, and A. S. Roath, “Knowledge synthesis and innovative logistics processes: Enhancing operational flexibility and performance,” Journal of Business Logistics, vol. 32, no. 1, pp. 69–80, Mar. 2011, 1592.2011.01006.X.

[23] G. Khoshsima, “A strategic model for measuring agility with fuzzy logic,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5370 LNCS, pp. 258–268, 2008,

[24] V. Paramsothy, P. Woods, and M. Raman, “Success factors for implementation of entrepreneurial knowledge management in Malaysian banks,” Journal of Information and Knowledge Management, vol. 12, no. 2, Jun. 2013, 10.1142/S0219649213500159.

[25] D. Ulrich and M. F. Wiersema, “Gaining Strategic and Organizational Capability in a Turbulent Business Environment,” https:// no. 2, pp. 115–122, May 1989, 10.5465/AME.1989.4274761.

[26] R. Bechtel, “Calculating human capital: The market based valuation of the human resource,” Zeitschrift fur Personalforschung, vol. 21, no. 3, pp. 206–231, 2007,

[27] A. Srivastava, “Do CEOs possess any extraordinary ability? Can those abilities justify large CEO pay?,” Asia-Pacific Journal of Accounting and Economics, vol. 20, no. 4, pp. 349–384, Dec. 2013, 10.1080/16081625.2013.828670.

[28] T. J. Fiksel, Joseph; Polyviou, M; Croxton, K.L; Pettit, “Creating businesses that adapt and flourish in a changing world,” MIT Sloan Manag Rev, vol. 56, no. 2, pp. 79–86, 2015, Accessed: Sep. 19, 2014. [Online]. Available: https://books.google.com/books/about/Resilient_by_ Design.html?id=GAWICgAAQBAJ

[29] W. R. . Gray, J. R. . Vogel, and D. P. . Foulke, “DIY financial advisor : a simple solution to build and protect your wealth,” 2015, Accessed: Sep. 18, 2014. [Online]. Available: https://books.google.com/books/about/DIY_Financial _Advisor.html?id=_0tICgAAQBAJ

[30] J. Chen, A. S. Sohal, and D. I. Prajogo, “Supply chain operational risk mitigation: A collaborative approach,” Int J Prod Res, vol. 51, no. 7, pp. 2186– 2199, Apr. 2013, 10.1080/00207543.2012.727490.

[31] A. Ghadge, S. Dani, and R. Kalawsky, “Supply chain risk management: Present and future scope,” The International Journal of Logistics Management, vol. 23, no. 3, pp. 313–339, Nov. 2012, 10.1108/09574091211289200.

[32] M. Giannakis and T. Papadopoulos, “Supply chain sustainability: A risk management approach,” Int J Prod Econ, vol. 171, pp. 455–470, Jan. 2016, 10.1016/j.ijpe.2015.06.032.

[33] V. Cho, “A study of the roles of trusts and risks in information-oriented online legal services using an integrated model,” Inf. Manag., vol. 43, no. 4, pp. 502–520, Jun. 2006,

[34] W. K. K. Hsu, S. H. S. Huang, and W. J. Tseng, “Evaluating the risk of operational safety for dangerous goods in airfreights – A revised risk matrix based on fuzzy AHP,” Transp Res D Transp Environ, vol. 48, pp. 235–247, Oct. 2016, 10.1016/j.trd.2016.08.018.

[35] S. H. Chung, H. L. Ma, and H. K. Chan, “Cascading Delay Risk of Airline Workforce Deployments with Crew Pairing and Schedule Optimization,” Risk Analysis, vol. 37, no. 8, pp. 1443–1458, Aug. 2017,

[36] H. Soleimani, M. Seyyed-Esfahani, and G. Kannan, “Incorporating risk measures in closed-loop supply chain network design,” Int J Prod Res, vol. 52, no. 6, pp. 1843–1867, Mar. 2014, 10.1080/00207543.2013.849823.

[37] M. G. Goldstein, E. P. Whitlock, and J. DePue, “Multiple behavioral risk factor interventions in primary care. Summary of research evidence,” Am J Prev Med, vol. 27, no. 2 Suppl, pp. 61–79, 2004, 10.1016/j.amepre.2004.04.023.

[38] P. Luo, H. Wang, and Z. Yang, “Investment and financing for SMEs with a partial guarantee and jump risk,” Eur J Oper Res, vol. 249, no. 3, pp. 1161– 1168, Mar. 2016,

[39] I. Heckmann, T. Comes, and S. Nickel, “A critical review on supply chain risk - Definition, measure and modeling,” Omega (United Kingdom), vol. 52, pp. 119–132, Apr. 2015, 10.1016/J.OMEGA.2014.10.004.

[40] T. Wang, K. N. Kannan, and J. R. Ulmer, “The association between the disclosure and the realization of information security risk factors,” Information Systems Research, vol. 24, no. 2, pp. 201–218, 2013,

[41] P. Friele, M. Jakob, and J. Clague, “Hazard and risk from large landslides from Mount Meager volcano, British Columbia, Canada,” Georisk, vol. 2, no. 1, pp. 48–64, Mar. 2008, 10.1080/17499510801958711.

[42] S. K. Mangla, P. Kumar, and M. K. Barua, “Risk analysis in green supply chain using fuzzy AHP approach: A case study,” Resour Conserv Recycl, vol. 104, pp. 375–390, Nov. 2015, 10.1016/j.resconrec.2015.01.001.

[43] F. G. Cordeiro, B. S. Bezerra, A. S. P. Peixoto, and R. A. R. Ramos, “Methodological aspects for modeling the environmental risk of transporting hazardous materials by road,” Transp Res D Transp Environ, vol. 44, pp. 105–121, May 2016, 10.1016/j.trd.2016.02.008.

[44] R. Rajesh, V. Ravi, and R. Venkata Rao, “Selection of risk mitigation strategy in electronic supply chains using grey theory and digraph-matrix approaches,” Int J Prod Res, vol. 53, no. 1, pp. 238–257, Jan. 2015,

[45] S. V. Scott, J. Van Reenen, and M. Zachariadis, “The long-term effect of digital innovation on bank performance: An empirical study of SWIFT adoption in financial services,” Res Policy, vol. 46, no. 5, pp. 984–1004, Jun. 2017, 10.1016/J.RESPOL.2017.03.010.

[46] G. W. Peters and E. Panayi, “Understanding modern banking ledgers through blockchain technologies: Future of transaction processing and smart contracts on the internet of money,” New Economic Windows, pp. 239–278, 2016, 4_13.

[47] S. C. Bankes, “Agent-based modeling: A revolution?,” Proc Natl Acad Sci U S A, vol. 99, no. SUPPL. 3, pp. 7199–7200, May 2002, 10.1073/PNAS.072081299.

[48] I. Hasan, K. Jackowicz, O. Kowalewski, and Ł. Kozłowski, “Do local banking market structures matter for SME financing and performance? New evidence from an emerging economy,” J Bank Financ, vol. 79, pp. 142–158, Jun. 2017, 10.1016/J.JBANKFIN.2017.03.009.

[49] H. Sohn, “Racial and Ethnic Disparities in Health Insurance Coverage: Dynamics of Gaining and Losing Coverage Over the Life-Course,” Popul Res Policy Rev, vol. 36, no. 2, pp. 181–201, Apr. 2017,

[50] L. Dafny, M. Duggan, and S. Ramanarayanan, “Paying a premium on your premium? Consolidation in the US health insurance industry,” American Economic Review, vol. 102, no. 2, pp. 1161–1185, 2012,

[51] L. Dafny, J. Gruber, and C. Ody, “More Insurers Lower Premiums: Evidence from Initial Pricing in the Health Insurance Marketplaces,” Am J Health Econ, vol. 1, no. 1, pp. 53–81, Jan. 2015, 10.1162/AJHE_A_00003<SPAN.

[52] P. Karaca-Mandic, A. B. Jena, and J. S. Ross, “Health and health care use among individuals at risk to lose health insurance with repeal of the affordable care act,” JAMA Intern Med, vol. 177, no. 4, pp. 590– 593, Apr. 2017, 10.1001/JAMAINTERNMED.2016.9541.

[53] S. F. Shih, C. Y. Lew-Ting, H. Y. Chang, and K. N. Kuo, “Insurance covered and non-covered complementary and alternative medicine utilisation among adults in Taiwan,” Soc Sci Med, vol. 67, no. 7, pp. 1183–1189, Oct. 2008, 10.1016/J.SOCSCIMED.2008.06.011.

[54] L. Dafny, J. Gruber, and C. Ody, “More insurers lower premiums: Evidence from initial pricing in the health insurance marketplaces,” Am J Health Econ, vol. 1, no. 1, pp. 53–81, 2015, 10.1162/AJHE_A_00003.

[55] S. Mullainathan, J. Schwartzstein, and W. J. Congdon, “A reduced-form approach to behavioral public finance,” Annu Rev Econom, vol. 4, pp. 511– 540, Jul. 2012, ECONOMICS-111809-125033.

[56] W. K. T. Cho and B. J. Gaines, “Breaking the (Benford) law: Statistical fraud detection in campaign finance,” American Statistician, vol. 61, no. 3, pp. 218–223, Aug. 2007, 10.1198/000313007X223496.

[57] M. Brandenburg, K. Govindan, J. Sarkis, and S. Seuring, “Quantitative models for sustainable supply chain management: Developments and directions,” Eur J Oper Res, vol. 233, no. 2, pp. 299–312, Mar. 2014,

[58] J. V. Terza, A. Basu, and P. J. Rathouz, “Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling,” J Health Econ, vol. 27, no. 3, pp. 531–543, May 2008,

[59] G. Y. Song, Y. Cheon, K. Lee, H. Lim, K. Y. Chung, and H. C. Rim, “Multiple categorizations of products: Cognitive modeling of customers through social media data mining,” Pers Ubiquitous Comput, vol. 18, no. 6, pp. 1387–1403, 2014, 10.1007/S00779-013-0740-5.

[60] E. Demir, Y. Huang, S. Scholts, and T. Van Woensel, “A selected review on the negative externalities of the freight transportation: Modeling and pricing,” Transp Res E Logist Transp Rev, vol. 77, pp. 95–114, May 2015,

[61] B. Fahimnia, C. S. Tang, H. Davarzani, and J. Sarkis, “Quantitative models for managing supply chain risks: A review,” Eur J Oper Res, vol. 247, no. 1, pp. 1–15, Nov. 2015,

[62] L. Tesfatsion, “Agent-based computational economics: Modeling economies as complex adaptive systems,” Inf Sci (N Y), vol. 149, no. 4, pp. 262–268, 2003, 3.

[63] G. Prause, “Sustainable business models and structures for industry 4.0,” Journal of Security and Sustainability Issues, vol. 5, no. 2, pp. 159–169, 2015,

[64] F. Caccioli, P. Barucca, and T. Kobayashi, “Network Models of Financial Systemic Risk: A Review,” SSRN Electronic Journal, Nov. 2017, 10.2139/SSRN.3066722.

[65] G. Sanchez, “PLS Path Modeling with R,” 2013, Trowchez Editions.

[66] J. S. Ringel, C. Eibner, F. Girosi, A. Cordova, and E. A. McGlynn, “Modeling health care policy alternatives,” Health Serv Res, vol. 45, no. 5 PART 2, pp. 1541–1558, Oct. 2010, 6773.2010.01146.X.

[67] H. C. Kimaro, “Strategies for Developing Human Resource Capacity to Support Sustainability of ICT Based Health Information Systems: A Case Study from Tanzania,” Electronic Journal of Information Systems in Developing Countries, vol. 26, no. 1, pp. 1–23, Aug. 2006, 4835.2006.TB00171.X.

[68] A. Majchrzak, M. L. Markus, and J. Wareham, “Designing for Digital Transformation: Lessons for Information Systems Research from the Study of ICT and Societal Challenges,” MIS Quarterly, vol. 40, no. 2, pp. 267–277, Feb. 2016, 10.25300/MISQ/2016/40:2.03.

[69] G. Bloom, E. Berdou, H. Standing, Z. Guo, and A. Labrique, “ICTs and the challenge of health system transition in low and middle-income countries,” Global Health, vol. 13, no. 1, Aug. 2017, 10.1186/S12992-017-0276-Y.

[70] S. Aral, E. Brynjolfsson, and M. Van Alstyne, “Information, technology and information worker productivity task level evidence,” Inf. Syst. Res., vol. 23, no. 3, part 2, pp. 849–867, 2012, 10.1287/isre.1110.0408.

[71] P. C. Tetlock, “Information transmission in finance,” Annual Review of Financial Economics, vol. 6, pp. 365–384, Dec. 2014, FINANCIAL-110613-034449.

[72] K. Han, Y. Chang, and J. Hahn, “Information technology spillover and productivity: The role of information technology intensity and competition,” J. Manag. Inf. Syst., vol. 28, no. 1, pp. 115–145, Jul. 2011,

[73] P. E. Mbondji, D. Kebede, E. W. Soumbey-Alley, C. Zielinski, W. Kouvividila, and P. S. Lusamba- Dikassa, “Health information systems in Africa: Descriptive analysis of data sources, information products and health statistics,” J R Soc Med, vol. 107, pp. 34–45, 2014,

[74] W. F. Boh and D. Yellin, “Using enterprise architecture standards in managing information technology,” Journal of Management Information Systems, vol. 23, no. 3, pp. 163–207, Dec. 2006, 10.2753/MIS0742-1222230307.

[75] M. Å. Hugoson, “Centralized versus Decentralized Information Systems: A Historical Flashback,” IFIP Adv Inf Commun Technol, vol. 303, pp. 106–115, 2008,

[76] R. Koppel, “Great promises of healthcare information technology deliver less,” Healthcare Information Management Systems: Cases, Strategies, and Solutions: Fourth Edition, pp. 101–125, Sep. 2015,

[77] P. L. Reichertz, “Hospital information systems - Past, present, future,” Int J Med Inform, vol. 75, no. 3-4 SPEC. ISS., pp. 282–299, Mar. 2006, 10.1016/J.IJMEDINF.2005.10.001.

[78] S. Madon, S. Krishna, and E. Michael, “Health information systems, decentralisation and democratic accountability,” Public Administration and Development, vol. 30, no. 4, pp. 247–260, Oct. 2010,

[79] R. Snyder-Halpern, “Indicators of organizational readiness for clinical information technology/systems innovation: A Delphi study,” Int J Med Inform, vol. 63, no. 3, pp. 179–204, 2001, 5056(01)00179-4.

[80] M. B. Buntin, M. F. Burke, M. C. Hoaglin, and D. Blumenthal, “The benefits of health information technology: a review of the recent literature shows predominantly positive results,” Health Aff, vol. 30, no. 3, pp. 464–71, Mar. 2011, 10.1377/hlthaff.2011.0178.

[81] M. Mitchell, M. Getchell, M. Nkaka, D. Msellemu, J. Van Esch, and B. Hedt-Gauthier, “Perceived improvement in integrated management of childhood illness implementation through use of mobile technology: Qualitative evidence from a pilot study in Tanzania,” J Health Commun, vol. 17, no. SUPPL. 1, pp. 118–127, May 2012, 10.1080/10810730.2011.649105.

[82] L. Urquhart and T. Rodden, “New directions in information technology law: learning from human– computer interaction,” International Review of Law, Computers and Technology, vol. 31, no. 2, pp. 150– 169, May 2017, 10.1080/13600869.2017.1298501.

[83] J. Abelson et al., “PUBLIC and PATIENT INVOLVEMENT in HEALTH TECHNOLOGY ASSESSMENT: A FRAMEWORK for ACTION,” Int J Technol Assess Health Care, vol. 32, no. 4, pp. 256–264, 2016,

[84] Z. Mei and Y. Zirong, “Design of epidemic monitoring platform based on ArcGIS,” Proceedings - 14th International Symposium on Distributed Computing and Applications for Business, Engineering and Science, DCABES 2015, pp. 380– 383, Mar. 2016,

[85] “Harmonized monitoring and evaluation indicators for procurement and supply management systems,” 2011, World Health Organisation.

[86] K. Singh, P. J. Best, M. Bojilov, and C. Blunt, “Continuous Auditing and Continuous Monitoring in ERP Environments: Case Studies of Application Implementations,” Journal of Information Systems, vol. 28, no. 1, pp. 287–310, Jun. 2014, 10.2308/ISYS-50679.

[87] W. Eckerson, “Characteristics Of Effective Performance Metrics,” Performance Dashboards: Measuring, Monitoring And Managing Your Business, p. 209 pp., 2011, Accessed: Sep. 15, 2014. [Online]. Available: https://books.google.com/books/about/Performance_ Dashboards.html?id=5nuYDwAAQBAJ

[88] C. for M. and M. Services, “Quality Assurance and performance improvement.”

[89] J. Dai and M. A. Vasarhelyi, “Toward Blockchain- Based Accounting and Assurance,” Journal of Information Systems, vol. 31, no. 3, pp. 5–21, Sep. 2017,

[90] A. Hudic et al., “A multi-layer and multitenant cloud assurance evaluation methodology,” Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom, vol. 2015- February, no. February, pp. 386–393, Feb. 2015, 10.1109/CLOUDCOM.2014.85.

[91] K. Pollard, A. L. Donskoy, P. Moule, C. Donald, M. Lima, and C. Rice, “Developing and evaluating guidelines for patient and public involvement (PPI) in research,” Int J Health Care Qual Assur, vol. 28, no. 2, pp. 141–155, Mar. 2015, 01-2014-0001.

[92] M. K. Power, “Auditing and the production of legitimacy,” Account Organ Soc, vol. 28, no. 4, pp. 379–94, 2003,

[93] E. A. Gordon, E. Henry, T. J. Louwers, and B. J. Reed, “Auditing Related Party Transactions: A Literature Overview and Research Synthesis,” Accounting Horizons, vol. 21, no. 1, pp. 81–102, Mar. 2007,

[94] T. Greenhalgh and R. Peacock, “Effectiveness and efficiency of search methods in systematic reviews of complex evidence: Audit of primary sources,” Br Med J, vol. 331, no. 7524, pp. 1064–1065, Nov. 2005,

[95] M. J. Nigrini, “Benford’s law: Applications for forensic accounting, auditing, and fraud detection,” Benford’s Law: Applications for Forensic Accounting, Auditing, and Fraud Detection, pp. 1– 330, Jan. 2012,

[96] D. J. Teece, “Business models, business strategy and innovation,” Long Range Plann, vol. 43, no. 2–3, pp. 172–194, Apr. 2010, 10.1016/J.LRP.2009.07.003.

[97] K. Katircioglu et al., “Supply chain scenario modeler: A holistic executive decision support solution,” Interfaces (Providence), vol. 44, no. 1, pp. 85–104, Jan. 2014,

[98] B. A. Lameijer, J. De Mast, and R. J. M. M. Does, “Lean six sigma deployment and maturity models: A critical review,” Quality Management Journal, vol. 24, no. 4, pp. 6–20, 2017, 10.1080/10686967.2017.12088376.

[99] L. Belone et al., “Community-Based Participatory Research Conceptual Model: Community Partner Consultation and Face Validity,” Qual Health Res, vol. 26, no. 1, pp. 117–135, Jan. 2016, 10.1177/1049732314557084.

[100] M. Brandenburg and T. Rebs, “Sustainable supply chain management: A modelling perspective,” Ann Oper Res, vol. 229, no. 1, pp. 213–252, Jun. 2015,

How to cite this paper

Olawole Akomolafe, Michael Uzoma Agu "A Conceptual Framework for Developing Risk-Based Internal Control Models in the Insurance and Banking Sectors" Iconic Research And Engineering Journals Volume 2 Issue 8 2019 Page 335-354
Olawole Akomolafe, Michael Uzoma Agu "A Conceptual Framework for Developing Risk-Based Internal Control Models in the Insurance and Banking Sectors" Iconic Research And Engineering Journals, vol. 2, no. 8, Feb. 2019
Olawole Akomolafe, Michael Uzoma Agu (2019). A Conceptual Framework for Developing Risk-Based Internal Control Models in the Insurance and Banking Sectors. Iconic Research And Engineering Journals, 2(8).
Olawole Akomolafe, Michael Uzoma Agu "A Conceptual Framework for Developing Risk-Based Internal Control Models in the Insurance and Banking Sectors" Iconic Research And Engineering Journals, vol. 2, no. 8, Feb. 2019.
@article{1712255,
      author = {Olawole Akomolafe, Michael Uzoma Agu},
      title = {A Conceptual Framework for Developing Risk-Based Internal Control Models in the Insurance and Banking Sectors},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {2},
      number = {8},
      pages = {335-354},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1712255.pdf},
      abstract = {Risk-based internal control (RBIC) is now a critical pillar of financial-sector governance, particularly within banking and insurance institutions whose risk exposures are complex, interdependent, and constantly evolving. Despite the existence of major regulatory doctrines such as Basel II/III and Solvency II, many institutions continue to rely on fragmented or compliance-oriented control systems that fail to align control processes with the organisation?s risk profile. This paper develops a conceptual framework for RBIC tailored to the unique operational and regulatory environments of banking and insurance organisations. Drawing exclusively from literature published up to 2017, the study synthesises internal control theory, enterprise risk management (ERM), risk governance research, behavioural models, and financial regulation scholarship. The introduction and literature review critically examine the evolution of internal control, the emergence of risk-based approaches, sector-specific vulnerabilities, regulatory pressures, and implementation challenges. The conceptual framework integrates five core pillars: governance and architecture, risk identification and assessment, control design, information and communication infrastructure, and monitoring and assurance. The framework provides a structured and theoretically grounded approach to strengthening RBIC, enabling financial institutions to enhance resilience, accountability, and supervisory compliance.},
      keywords = {Risk-Based Internal Control, Risk Governance, Banking Internal Controls, Insurance Risk Management, Enterprise Risk Management, Internal Audit.},
      month = {February},
  }