Leveraging Strategic Management Information Systems for Organizational Resilience: Integrating Artificial Intelligence, Financial Risk Mitigation, and Sustainable Marketing
DOI:
https://doi.org/10.51699/92fh3c79Keywords:
Strategic Management Information Systems (SMIS), Artificial Intelligence, Organizational Resilience, Financial Risk Mitigation, Sustainable MarketingAbstract
Strategic Management Information Systems (SMIS) have emerged as critical tools for enhancing organizational resilience in an increasingly dynamic, technology-driven, and uncertain business environment. This study examines the integration of artificial intelligence (AI), financial risk mitigation strategies, and sustainable marketing practices within SMIS to strengthen organizational performance and long-term sustainability. The review highlights the role of SMIS in supporting strategic decision-making, resource optimization, risk assessment, and organizational adaptability through the effective management and analysis of information. The integration of enterprise systems such as Customer Relationship Management (CRM), Enterprise Resource Planning (ERP), and Risk Management Information Systems (RMIS) enables organizations to develop a comprehensive understanding of operational performance and potential risks. Artificial intelligence significantly enhances SMIS by improving data management, predictive analytics, decision support, and operational automation. AI-driven technologies facilitate real-time analysis of large datasets, enabling organizations to forecast trends, identify emerging risks, and optimize business processes. Predictive analytics further strengthens financial risk mitigation by providing proactive insights into market volatility, credit risk, and operational uncertainties. The study also emphasizes the growing importance of sustainable marketing, where AI supports environmentally responsible business practices through customer behavior analysis, personalized marketing, resource optimization, and supply chain efficiency. Organizational resilience is reinforced through effective leadership, governance, knowledge sharing, continuous learning, and strategic alignment. These factors enable organizations to anticipate, adapt to, and recover from disruptions while maintaining competitive advantage. The findings suggest that organizations adopting these integrated approaches are better positioned to navigate uncertainty and achieve long-term success in a rapidly evolving global marketplace.
References
[1] M. R. Ab Hamid, W. Sami, and M. H. Mohmad Sidek, “Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion,” Journal of Physics: Conference Series, vol. 890, p. 012163, 2017. Available: https://doi.org/10.1088/1742-6596/890/1/012163
[2] B. E. Abikoye, T. Akinwunmi, A. O. Adelaja, S. C. Umeorah, and Y. M. Ogunsuji, “Real-time financial monitoring systems: Enhancing risk management through continuous oversight,” GSC Advanced Research and Reviews, vol. 20, no. 1, pp. 465–476, 2024. Available: https://doi.org/10.30574/gscarr.2024.20.1.0287
[3] I. A. Adeniran, A. O. Abhulimen, A. N. Obiki-Osafiele, O. S. Osundare, E. E. Agu, and C. P. Efunniyi, “Strategic risk management in financial institutions: Ensuring robust regulatory compliance,” Finance & Accounting Research Journal, vol. 6, no. 8, pp. 1582–1596, 2024. Available: https://doi.org/10.51594/farj.v6i8.1508
[4] T. Adenuga, A. T. Ayobami, U. Mike-Olisa, and F. C. Okolo, “Enabling AI-driven decision-making through scalable and secure data infrastructure for enterprise transformation,” International Journal of Scientific Research in Science, Engineering and Technology, vol. 11, no. 3, pp. 482–510, 2024. Available: https://doi.org/10.32628/IJSRSET241486
[5] S. K. Afadzinu, E. Németh, and A. Szeberényi, “Public audit and its role in enhancing industrial policy innovation in Ghana,” Journal of Ecohumanism, vol. 3, no. 8, pp. 12721–12735, 2024. Available: https://doi.org/10.62754/joe.v3i8.6032
[6] Sharfuddin, M., Papia, S. K. (2023). "Management Information Systems Driven Green Marketing Intelligence for Sustainable Consumer Engagement", Journal of Primeasia, 4(1), 1-7, 10496 https://doi.org/10.25163/primeasia.4110496
[7] S. A. Ahmad and P. C. Teo, “The implementation of enterprise risk management (ERM) frameworks in small and medium enterprises (SMES): A literature review,” International Journal of Academic Research in Business and Social Sciences, vol. 14, no. 9, pp. 290–307, 2024. Available: https://doi.org/10.6007/IJARBSS/v14-i9/22353
[8] M. J. Ahsan, “Cultivating a culture of learning: The role of leadership in fostering lifelong development,” The Learning Organization, vol. 32, no. 2, pp. 282–306, 2025. Available: https://doi.org/10.1108/TLO-03-2024-0099
[9] G. K. Amoako, J. Bawuah, E. Asafo-Adjei, and C. Ayimbire, “Internal audit functions and sustainability audits: Insights from manufacturing firms,” Cogent Business & Management, vol. 10, no. 1, p. 2192313, 2023. Available: https://doi.org/10.1080/23311975.2023.2192313
[10] Sharfuddin, M., Choudhury, P. (2025). "Enhancing Data Reliability in Management Information Systems through Artificial Intelligence Driven Validation and Error Detection Models", Journal of Ai ML DL, 1(1), 1-8, 10442 https://doi.org/10.25163/ai.1110442
[11] F. O. Ampofo, J. E. K. Ziorklui, N. Nyonyoh, and B. O. Antwi, “Integrated predictive analytics in IT audit planning,” Finance & Accounting Research Journal, vol. 6, no. 7, pp. 1291–1309, 2024. Available: https://doi.org/10.51594/farj.v6i7.1324
[12] R. F. Ananda, S. N. Rahmadhani, A. A. Pane, and N. H. Wiratama, “Assessment audit: How artificial intelligence affected audit quality of sustainability report based on auditors perspective,” Information Management and Business Review, vol. 16, no. 3, pp. 152–158, 2024. Available: https://doi.org/10.22610/imbr.v16i3(I)S.4049
[13] K. Anjaria, “Enhancing organizational resilience and agility in S-ERP for industry 4.0,” in Sustainable Enterprise Resource Planning (S-ERP) for Industry 4.0: A Secure and Ethical Deployment Approach, Singapore: Springer Nature, 2025, pp. 277–301. Available: https://doi.org/10.1007/978-981-96-7734-4_10
[14] S. Anomah, “Assessing the institutional readiness and capacity for AI adoption in public audit institutions in developing countries: Evidence from Ghana,” Telematics and Informatics Reports, vol. 20, p. 100260, 2025. Available: https://doi.org/10.1016/j.teler.2025.100260
[15] Choudhury, P., Sharfuddin, M. (2023). "Management Information Systems in Contemporary Business: Prospects, Strategic Advantages, and Future Challenges", Business and Social Sciences, 1(1), 1-7, 10509 https://doi.org/10.25163/business.1110509
[16] S. Anomah, B. Ayeboafo, A. Owusu, and M. Aduamoah, “Adapting to AI: Exploring the implications of AI integration in shaping the accounting and auditing profession for developing economies,” EDPACS, vol. 69, no. 11, pp. 28–52, 2024. Available: https://doi.org/10.1080/07366981.2024.2388412
[17] R. Arhinful, F. K. Attabra, L. Mensah, and H. A. Obeng, “The mediating role of talent management in the relationship between project manager competencies and sustainable competitive advantage in the Ghanaian construction industry,” Construction Management and Economics, vol. 44, no. 2, pp. 119–142, 2026. Available: https://doi.org/10.1080/01446193.2025.2589763
[18] R. Arhinful, F. K. Attabra, H. A. Obeng, and L. Mensah, “Assessing how project management knowledge drives project sustainability in Ghana,” Engineering, Construction and Architectural Management, vol. 33, no. 2, pp. 1–20, 2026. Available: https://doi.org/10.1108/ECAM-11-2024-1573
[19] V. Arnold, T. Benford, J. Canada, and S. G. Sutton, “Leveraging integrated information systems to enhance strategic flexibility and performance: The enabling role of enterprise risk management,” International Journal of Accounting Information Systems, vol. 19, pp. 1–16, 2015. Available: https://doi.org/10.1016/j.accinf.2015.10.001
[20] H. Asare Obeng, R. Arhinful, L. Mensah, and R. C. Teneng, “Harmonizing growth: Leadership competencies' mediation in SMEs' organizational culture and structure through schein's model,” SAGE Open, vol. 15, no. 3, p. 21582440251364954, 2025. Available: https://doi.org/10.1177/21582440251364954
[21] H. Asare Obeng, A. Sarwar, R. Arhinful, and L. Mensah, “Translating sustainability into customer-perceived value: A social exchange theory perspective on pro-environmental work behavior in ghana's hospitality sector,” Tourism and Hospitality, vol. 6, no. 5, p. 229, 2025. Available: https://doi.org/10.3390/tourhosp6050229
[22] N. Azizi, O. Haass, P. Centobelli, and R. Cerchione, “The impact of cultural practices on the outcome of IT risk management implementation,” Information Technology & People, vol. 39, no. 1, pp. 65–92, 2026. Available: https://doi.org/10.1108/ITP-04-2023-0362
[23] O. A. Bello and K. Olufemi, “Artificial intelligence in fraud prevention: Exploring techniques and applications challenges and opportunities,” Computer Science & IT Research Journal, vol. 5, no. 6, pp. 1505–1520, 2024. Available: https://doi.org/10.51594/csitrj.v5i6.1252
[24] M. Caldeira and G. Dhillon, “Are we really competent? Assessing organizational ability in delivering IT benefits,” Business Process Management Journal, vol. 16, no. 1, pp. 5–28, 2010. Available: https://doi.org/10.1108/14637151011017921
[25] M. Celestin and J. A. Gidisu, “Accounting for AI: Ethical and legal considerations in financial automation among Ghana businesses,” International Journal of Advanced Trends in Engineering and Technology, vol. 9, pp. 103–114, 2024. Available: https://doi.org/10.2139/ssrn.5212051
[26] C. M. Chan, S. Y. Teoh, A. Yeow, and G. Pan, “Agility in responding to disruptive digital innovation: Case study of an SME,” Information Systems Journal, vol. 29, no. 2, pp. 436–455, 2019. Available: https://doi.org/10.1111/isj.12215
[27] J. Chen and S. Tajdini, “A moderated model of artificial intelligence adoption in firms and its effects on their performance,” Information Technology and Management, vol. 26, no. 3, pp. 407–419, 2025. Available: https://doi.org/10.1007/s10799-024-00422-5
[28] M. V. Chester and B. Allenby, “Toward adaptive infrastructure: Flexibility and agility in a non-stationarity age,” Sustainable and Resilient Infrastructure, vol. 4, no. 4, pp. 173–191, 2019. Available: https://doi.org/10.1080/23789689.2017.1416846
[29] C. L. Chin and G. Yao, “Convergent validity,” in Encyclopedia of Quality of Life and Well-Being Research, Cham: Springer International Publishing, 2024, pp. 1398–1399. Available: https://doi.org/10.1007/978-3-031-17299-1_573
[30] P. C. R. Chinta, K. M. Jha, V. Velaga, C. Moore, K. Routhu, and G. Sadaram, “Harnessing big data and AI-driven ERP systems to enhance cybersecurity resilience in real-time threat environments,” Letters in High Energy Physics, 2024. Available: https://doi.org/10.2139/ssrn.5151788
[31] T. K. Chowdhury, “AI-powered deep learning models for real-time cybersecurity risk assessment in enterprise it systems,” ASRC Procedia: Global Perspectives in Science and Scholarship, vol. 1, no. 1, pp. 675–704, 2025. Available: https://doi.org/10.63125/137k6y79
[32] J. Cohen, G. Krishnamoorthy, and A. Wright, “Enterprise risk management and the financial reporting process: The experiences of audit committee members, CFOs, and external auditors,” Contemporary Accounting Research, vol. 34, no. 2, pp. 1178–1209, 2017. Available: https://doi.org/10.1111/1911-3846.12294
[33] D. R. Compeau and C. A. Higgins, “Computer self-efficacy: Development of a measure and initial test,” MIS Quarterly, vol. 19, no. 2, pp. 189–211, 1995. Available: https://doi.org/10.2307/249688
[34] G. Di Palma, R. Scendoni, V. Tambone, R. Alloni, and F. De Micco, “Integrating enterprise risk management to address AI-related risks in healthcare: Strategies for effective risk mitigation and implementation,” Journal of Healthcare Risk Management, vol. 44, no. 4, pp. 25–33, 2025. Available: https://doi.org/10.1002/jhrm.70000
[35] Choudhury, P., Sharfuddin, M. (2025). "Optimizing Resource Allocation and Operational Efficiency in Management Information Systems Using Predictive Machine Learning", Journal of Ai ML DL, 1(1), 1-8, 10443 https://doi.org/10.25163/ai.1110443
[36] G. Dosi, The Foundations of Complex Evolving Economies: Part One: Innovation, Organization, and Industrial Dynamics. Oxford: Oxford University Press, 2023. Available: https://doi.org/10.1093/oso/9780192865922.001.0001
[37] C. Eckert and J. Hohberger, “Addressing endogeneity without instrumental variables: An evaluation of the gaussian copula approach for management research,” Journal of Management, vol. 49, no. 4, pp. 1460–1495, 2023. Available: https://doi.org/10.1177/01492063221085913
[38] T. Edonomokumor, R. Arhinful, L. Mensah, and H. A. Obeng, “The mediating role of creative behavior in the relationship between transformational leadership and turnover intention,” Future Business Journal, vol. 11, no. 1, p. 139, 2025. Available: https://doi.org/10.1186/s43093-025-00563-1
[39] W. Eyinade, O. J. Ezeilo, and I. A. Ogundeji, “An internal compliance framework for evaluating financial system integrity under changing regulatory environments,” International Journal of Multidisciplinary Research and Growth Evaluation, vol. 2, no. 1, pp. 927–934, 2021. Available: https://doi.org/10.54660/.IJMRGE.2021.2.1.927-934
[40] K. Papia, M. Sharfuddin, and K. Begum, "Integrating Management Information Systems in Marketing: A Survey-Based Analysis of Consumer Engagement and Business Growth through Data Analytics," Pathfinder of Research, vol. 3, no. 1, pp. 60–72, 2022.https://doi.org/10.69937/pf.por.3.1.79
[41] A. L. Feng et al., “A validated model for the 22-item Sino-Nasal Outcome Test subdomain structure in chronic rhinosinusitis,” International Forum of Allergy & Rhinology, vol. 7, no. 12, pp. 1140–1148, 2017. Available: https://doi.org/10.1002/alr.22025
[42] M.Sharfuddin, P. Choudhury, and K. M. Ahmed, "Integration of Universal Management Information Systems in the Extended Organization Solving Fundamental Challenges," Research Sustainability, vol. 1, no. 3, pp. 1–12, 2024.https://doi.org/10.69937/pf.rs.1.3.84
[43] M. P. Florez-Jimenez, A. Lleo, I. Danvila-del-Valle, and G. Sánchez-Marín, “Corporate sustainability, organizational resilience and corporate purpose: A triple concept for achieving long-term prosperity,” Management Decision, vol. 62, no. 7, pp. 2189–2213, 2024. Available: https://doi.org/10.1108/MD-06-2023-0938
[44] D. Goncalves, M. Bergquist, R. Bunk, and S. Alänge, “Cultural aspects of organizational agility affecting digital innovation,” Journal of Entrepreneurship, Management and Innovation, vol. 16, no. 4, pp. 13–46, 2020. Available: https://doi.org/10.7341/20201641
[45] J. Hair and A. Alamer, “Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example,” Research Methods in Applied Linguistics, vol. 1, no. 3, p. 100027, 2022. Available: https://doi.org/10.1016/j.rmal.2022.100027
[46] J. F. Hair, M. Sarstedt, C. M. Ringle, and J. A. Mena, “An assessment of the use of partial least squares structural equation modeling in marketing research,” Journal of the Academy of Marketing Science, vol. 40, no. 3, pp. 414–433, 2012. Available: https://doi.org/10.1007/s11747-011-0261-6
[47] Y. Haji-Othman and M. S. S. Yusuff, “Assessing reliability and validity of attitude construct using partial least squares structural equation modeling,” International Journal of Academic Research in Business and Social Sciences, vol. 12, no. 5, pp. 378–385, 2022. Available: https://doi.org/10.6007/IJARBSS/v12-i5/13289
[48] M. K. Hassan, M. E. Abdulkarim, and H. R. Ismael, “Risk governance: Exploring the role of organisational culture,” Journal of Accounting & Organizational Change, vol. 18, no. 1, pp. 77–99, 2022. Available: https://doi.org/10.1108/JAOC-01-2021-0003
[49] M. S. Md Sharfuddin, P. C. Proggo Choudhury, and A. I. H. Ahamed Ismail Hossain, "Data-Driven Management Information Systems Leveraging Artificial Intelligence for Sustainable Business Performance and Operational Efficiency," Data-Driven Management Information Systems Leveraging Artificial Intelligence for Sustainable Business Performance and Operational Efficiency, vol. 3, no. 1, pp. 1–11, 2025.
[50] D. Hossan, A. Aktar, and Q. Zhang, “A study on partial least squares structural equation modeling (PLS-SEM) as emerging tool in action research,” LC International Journal of STEM, vol. 1, no. 4, pp. 130–146, 2020. Available: https://doi.org/10.31219/osf.io/py57k
[51] K. H. Hu, F. H. Chen, M. F. Hsu, and G. H. Tzeng, “Identifying key factors for adopting artificial intelligence-enabled auditing techniques by joint utilization of fuzzy-rough set theory and MRDM technique,” Technological and Economic Development of Economy, vol. 27, no. 2, pp. 459–492, 2021. Available: https://doi.org/10.3846/tede.2020.13181
[52] S. Hunziker, “Adapting ERM to a digitally connected world,” in Enterprise Risk Management: Modern Approaches to Balancing Risk and Reward, Wiesbaden: Springer Fachmedien, 2025, pp. 233–257. Available: https://doi.org/10.1007/978-3-658-48879-6_5
[53] J. C. Lee, Y. C. Shiue, and C. Y. Chen, “Examining the impacts of organizational culture and top management support of knowledge sharing on the success of software process improvement,” Computers in Human Behavior, vol. 54, pp. 462–474, 2016. Available: https://doi.org/10.1016/j.chb.2015.08.030
[54] J. Marx and R. H. Mynhardt, “Towards an implementation framework for governance in the Ghanaian securities trading industry,” Qualitative Research in Financial Markets, vol. 13, no. 3, pp. 342–358, 2021. Available: https://doi.org/10.1108/QRFM-04-2020-0061
[55] P.Choudhury, M. Sharfuddin, K. M. Ahmed, and K. Begum, "Artificial Intelligence Driven Management Information Systems for Enhancing Social Equity, Economic Sustainability and Managing Costs and Challenges," Research Sustainability, vol. 1, no. 1, pp. 37–50, 2024.https://doi.org/10.69937/pf.rs.1.1.62
[56] L. Mensah, R. Arhinful, H. A. Obeng, and B. A. Gyamfi, “Navigating investment choices: Determinants of corporate investment strategies in Japan’s nonfinancial sector,” Journal of Investment Strategies, vol. 14, pp. 1–41, 2025. Available: https://doi.org/10.21314/JOIS.2025.007
[57] L. Mensah, R. Arhinful, H. A. Obeng, and B. A. Gyamfi, “Punishment or catalyst? The role of environmental fines in driving corporate environmental innovation in the frankfurt stock exchange. The moderating role of financial slack, firm size, and board environmental expertise,” Business Strategy and the Environment, vol. 35, no. 1, pp. 1–22, 2026. Available: https://doi.org/10.1002/bse.70574
[58] S. K. Mogali, “AI-powered cloud-based ERP solutions transforming product lifecycle management in the manufacturing sector,” in Proc. 2025 Global Conference in Emerging Technology (GINOTECH), 2025, pp. 1–7. Available: https://doi.org/10.1109/GINOTECH63460.2025.11076971
[59] A. Monazzam and J. Crawford, “The role of enterprise risk management in enabling organisational resilience: A case study of the Swedish mining industry,” Journal of Management Control, vol. 35, no. 1, pp. 59–108, 2024. Available: https://doi.org/10.1007/s00187-024-00370-9
[60] I. Munoko, H. L. Brown-Liburd, and M. Vasarhelyi, “The ethical implications of using artificial intelligence in auditing: I. Munoko et al.,” Journal of Business Ethics, vol. 167, no. 2, pp. 209–234, 2020. Available: https://doi.org/10.1007/s10551-019-04407-1
[61] K. Nagar, S. Rana, and A. Kasana, “The mediating role of work engagement between happiness at work and employee performance: Smart PLS approach,” Journal of Informatics Education and Research, vol. 4, no. 1, pp. 123–136, 2024. Available: https://doi.org/10.52783/jier.v4i1.529
