Big Data-Driven Financial Analysis: A New Paradigm for Strategic Insights and Decision-Making

References

[1] Aamer, A., Eka Yani, L., & Alan Priyatna, I. (2020). Data analytics in the supply chain management: Review of machine learning applications in demand forecasting. Operations and Supply Chain Management: An International Journal, 14(1), 1-13.

[2] Abimbola, O. D., & Esan, O. (2023). Human capital accumulation and employees’ well-being in Nigerian deposit money banks. Akungba Journal of Management, 5(3), 85–95.

[3] Aboelmaged, M. (2018). The drivers of sustainable manufacturing practices in Egyptian SMEs and their impact on competitive capabilities: A PLS-SEM model. Journal of Cleaner Production, 175, 207-221.

[4] Abuza, A. E. (2017). An examination of the power of removal of secretaries of private companies in Nigeria. Journal of Comparative Law in Africa, 4(2), 34-76.

[5] Adejugbe, A. & Adejugbe, A., (2018) Emerging Trends In Job Security: A Case Study of Nigeria 2018/1/4 Pages 482

[6] Adejugbe, A. (2020). A Comparison between Unfair Dismissal Law in Nigeria and the International Labour Organisation’s Legal Regime. Available at SSRN 3697717.

[7] Adejugbe, A. A. (2021). From contract to status: Unfair dismissal law. Journal of Commercial and Property Law, 8(1).

[8] Adejugbe, A., & Adejugbe, A. (2014). Cost and Event in Arbitration (Case Study: Nigeria). Available at SSRN 2830454.

[9] Adejugbe, A., & Adejugbe, A. (2015). Vulnerable Children Workers and Precarious Work in a Changing World in Nigeria. Available at SSRN 2789248.

[10] Adejugbe, A., & Adejugbe, A. (2016). A Critical Analysis of the Impact of Legal Restriction on Management and Performance of an Organisation Diversifying into Nigeria. Available at SSRN 2742385.

[11] Adejugbe, A., & Adejugbe, A. (2018). Women and discrimination in the workplace: A Nigerian perspective. Available at SSRN 3244971.

[12] Adejugbe, A., & Adejugbe, A. (2019). Constitutionalisation of Labour Law: A Nigerian Perspective. Available at SSRN 3311225.

[13] Adejugbe, A., & Adejugbe, A. (2019). The Certificate of Occupancy as a Conclusive Proof of Title: Fact or Fiction. Available at SSRN 3324775.

[14] Adepoju, O. O., & Esan, O. (2023). Employee social well-being and remote working among ICT workers in Lagos State: Assessing the opportunities and threats. Akungba Journal of Management, 5(2), 91–102.

[15] Adepoju, O. O., & Esan, O. (2023). Risk Management Practices And Workers Safety In University Of Medical Sciences Teaching Hospital, Ondo State Nigeria. Open Journal of Management Science (ISSN: 2734-2107), 4(1), 1-12.

[16] Adepoju, O., Akinyomi, O., & Esan, O. (2023). Integrating human-computer interactions in Nigerian energy system: A skills requirement analysis. Journal of Digital Food, Energy & Water Systems, 4(2).

[17] Adepoju, O., Esan, O., & Akinyomi, O. (2022). Food security in Nigeria: enhancing workers’ productivity in precision agriculture. Journal of Digital Food, Energy & Water Systems, 3(2).

[18] Adewusi, A.O., Chiekezie, N.R. & Eyo-Udo, N.L. (2022) Cybersecurity threats in agriculture supply chains: A comprehensive review. World Journal of Advanced Research and Reviews, 15(03), pp 490-500

[19] Adewusi, A.O., Chiekezie, N.R. & Eyo-Udo, N.L. (2022) Securing smart agriculture: Cybersecurity challenges and solutions in IoT-driven farms. World Journal of Advanced Research and Reviews, 15(03), pp 480-489

[20] Adewusi, A.O., Chiekezie, N.R. & Eyo-Udo, N.L. (2022) The role of AI in enhancing cybersecurity for smart farms. World Journal of Advanced Research and Reviews, 15(03), pp 501-512

[21] Adewusi, A.O., Chikezie, N.R. & Eyo-Udo, N.L. (2023) Blockchain technology in agriculture: Enhancing supply chain transparency and traceability. Finance & Accounting Research Journal, 5(12), pp 479-501

[22] Adewusi, A.O., Chikezie, N.R. & Eyo-Udo, N.L. (2023) Cybersecurity in precision agriculture: Protecting data integrity and privacy. International Journal of Applied Research in Social Sciences, 5(10), pp. 693-708

[23] Agupugo, C. (2023). Design of A Renewable Energy Based Microgrid That Comprises of Only PV and Battery Storage to Sustain Critical Loads in Nigeria Air Force Base, Kaduna. ResearchGate.

[24] Agupugo, C. (2023). Design of A Renewable Energy Based Microgrid That Comprises of Only PV and Battery Storage to Sustain Critical Loads in Nigeria Air Force Base, Kaduna. ResearchGate.

[25] Agupugo, C. P., & Tochukwu, M. F. C. (2021): A model to Assess the Economic Viability of Renewable Energy Microgrids: A Case Study of Imufu Nigeria.

[26] Agupugo, C. P., & Tochukwu, M. F. C. (2021): A model to Assess the Economic Viability of Renewable Energy Microgrids: A Case Study of Imufu Nigeria.

[27] Agupugo, C. P., Ajayi, A. O., Nwanevu, C., & Oladipo, S. S. (2022); Advancements in Technology for Renewable Energy Microgrids.

[28] Agupugo, C. P., Ajayi, A. O., Nwanevu, C., & Oladipo, S. S. (2022): Policy and regulatory framework supporting renewable energy microgrids and energy storage systems.

[29] Agupugo, C. P., Ajayi, A. O., Nwanevu, C., & Oladipo, S. S. (2022); Advancements in Technology for Renewable Energy Microgrids.

[30] Agupugo, C. P., Ajayi, A. O., Nwanevu, C., & Oladipo, S. S. (2022): Policy and regulatory framework supporting renewable energy microgrids and energy storage systems.

[31] Ajayi, O., Bagula, A., & Maluleke, H. (2022). The fourth industrial revolution: A technological wave of change. In Industry 4.0-Perspectives and Applications. IntechOpen.

[32] Anshari, M., Almunawar, M. N., Lim, S. A., & Al-Mudimigh, A. (2019). Customer relationship management and big data enabled: Personalization & customization of services. Applied Computing and Informatics, 15(2), 94-101.

[33] Asiimwe, M. M. (2022). Towards an integration of socio-technical transitions and the Fourth Industrial Revolution (Doctoral dissertation, Stellenbosch: Stellenbosch University).

[34] Avwioroko, A. (2023). Biomass Gasification for Hydrogen Production. Engineering Science & Technology Journal, 4(2), 56-70.

[35] Avwioroko, A. (2023). The integration of smart grid technology with carbon credit trading systems: Benefits, challenges, and future directions. Engineering Science & Technology Journal, 4(2), 33–45.

[36] Avwioroko, A. (2023). The potential, barriers, and strategies to upscale renewable energy adoption in developing countries: Nigeria as a case study. Engineering Science & Technology Journal, 4(2), 46–55.

[37] Bag, S., Dhamija, P., Bryde, D. J., & Singh, R. K. (2022). Effect of eco-innovation on green supply chain management, circular economy capability, and performance of small and medium enterprises. Journal of Business Research, 141, 60-72.

[38] Bassey, K. E. (2022). Enhanced Design and Development Simulation and Testing. Engineering Science & Technology Journal, 3(2), 18-31.

[39] Bassey, K. E. (2022). Optimizing Wind Farm Performance Using Machine Learning. Engineering Science & Technology Journal, 3(2), 32-44.

[40] Bassey, K. E. (2023). Hybrid Renewable Energy Systems Modeling. Engineering Science & Technology Journal, 4(6), 571-588.

[41] Bassey, K. E. (2023). Hydrokinetic Energy Devices: Studying Devices That Generate Power from Flowing Water Without Dams. Engineering Science & Technology Journal, 4(2), 1-17.

[42] Bassey, K. E. (2023). Solar Energy Forecasting with Deep Learning Technique. Engineering Science & Technology Journal, 4(2), 18-32.

[43] Bassey, K. E., & Ibegbulam, C. (2023). Machine Learning for Green Hydrogen Production. Computer Science & IT Research Journal, 4(3), 368-385.

[44] Bawack, R. E., Fosso Wamba, S., & Carillo, K. D. A. (2021). A framework for understanding artificial intelligence research: insights from practice. Journal of Enterprise Information Management, 34(2), 645-678.

[45] Bayode, A., Van der Poll, J. A., & Ramphal, R. R. (2019, November). 4th industrial revolution: Challenges and opportunities in the South African context. In Conference on Science, Engineering and Waste Management (SETWM-19) (pp. 174-180).

[46] Bhimani, A., & Willcocks, L. (2014). Digitisation,‘Big Data’and the transformation of accounting information. Accounting and business research, 44(4), 469-490.

[47] Bock, D. E., Wolter, J. S., & Ferrell, O. C. (2020). Artificial intelligence: Disrupting what we know about services. Journal of Services Marketing, 34(3), 317-334.

[48] Caldera, H. T. S., Desha, C., & Dawes, L. (2017). Exploring the role of lean thinking in sustainable business practice: A systematic literature review. Journal of cleaner production, 167, 1546-1565.

[49] Cantele, S., & Zardini, A. (2018). Is sustainability a competitive advantage for small businesses? An empirical analysis of possible mediators in the sustainability–financial performance relationship. Journal of cleaner production, 182, 166-176.

[50] Cohen, M. C. (2018). Big data and service operations. Production and Operations Management, 27(9), 1709-1723.

[51] Crider, Y. S. (2021). Pathways for progress toward universal access to safe drinking water. University of California, Berkeley.

[52] Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis and future prospects. Journal of big data, 6(1), 1-25.

[53] Datta, S., Kaochar, T., Lam, H. C., Nwosu, N., Giancardo, L., Chuang, A. Z., ... & Roberts, K. (2023). Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes. arXiv preprint arXiv:2305.11948

[54] Deepa, N., Pham, Q. V., Nguyen, D. C., Bhattacharya, S., Prabadevi, B., Gadekallu, T. R., ... & Pathirana, P. N. (2022). A survey on blockchain for big data: Approaches, opportunities, and future directions. Future Generation Computer Systems, 131, 209-226.

[55] Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283-314.

[56] Dissack, G. D. M. (2020). Future of Big Data & Digitalization Finance Industry (Master's thesis, European University of Cyprus (Cyprus)).

[57] Du, S., & Xie, C. (2021). Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities. Journal of Business Research, 129, 961-974.

[58] Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International journal of information management, 57, 101994.

[59] Enebe, G. C. (2019). Modeling and Simulation of Nanostructured Copper Oxides Solar Cells for Photovoltaic Application. University of Johannesburg (South Africa).

[60] Enebe, G. C., Lukong, V. T., Mouchou, R. T., Ukoba, K. O., & Jen, T. C. (2022). Optimizing nanostructured TiO2/Cu2O pn heterojunction solar cells using SCAPS for fourth industrial revolution. Materials Today: Proceedings, 62, S145-S150.

[61] Enebe, G. C., Ukoba, K., & Jen, T. C. (2019). Numerical modeling of effect of annealing on nanostructured CuO/TiO2 pn heterojunction solar cells using SCAPS. AIMS Energy, 7(4), 527-538.

[62] Enebe, G. C., Ukoba, K., & Jen, T. C. (2023): Review of Solar Cells Deposition Techniques for the Global South. Localized Energy Transition in the 4th Industrial Revolution, 191-205.

[63] Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), 1709-1734.

[64] Esan, O. (2023). Addressing Brain Drain in the Health Sector towards Sustainable National Development in Nigeria: Way Forward.

[65] Esiri, A. E., Kwakye, J. M., Ekechukwu, D. E., & Benjamin, O. (2023). Assessing the environmental footprint of the electric vehicle supply chain.

[66] Esiri, A. E., Kwakye, J. M., Ekechukwu, D. E., & Benjamin, O. (2023). Public perception and policy development in the transition to renewable energy.

[67] Ezeh, M. O., Ogbu, A. D., & Heavens, A. (2023): The Role of Business Process Analysis and Re-engineering in Enhancing Energy Sector Efficiency.

[68] Fang, B., & Zhang, P. (2016). Big data in finance. Big data concepts, theories, and applications, 391-412.

[69] Fanoro, M., Božanić, M., & Sinha, S. (2021). A Review of 4IR/5IR Enabling Technologies and Their Linkage to Manufacturing Supply Chain. Technologies 2021, 9, 77.

[70] Fichter, K., & Tiemann, I. (2018). Factors influencing university support for sustainable entrepreneurship: Insights from explorative case studies. Journal of Cleaner Production, 175, 512-524.

[71] Gebhardt, M., Kopyto, M., Birkel, H., & Hartmann, E. (2022). Industry 4.0 technologies as enablers of collaboration in circular supply chains: A systematic literature review. International Journal of Production Research, 60(23), 6967-6995.

[72] George, G., Corbishley, C., Khayesi, J. N., Haas, M. R., & Tihanyi, L. (2016). Bringing Africa in: Promising directions for management research. Academy of management journal, 59(2), 377-393.

[73] Gil-Ozoudeh, I., Iwuanyanwu, O., Okwandu, A. C., & Ike, C. S. (2022). The role of passive design strategies in enhancing energy efficiency in green buildings. Engineering Science & Technology Journal, Volume 3, Issue 2, December 2022, No.71-91

[74] Gil-Ozoudeh, I., Iwuanyanwu, O., Okwandu, A. C., & Ike, C. S. (2023). Sustainable urban design: The role of green buildings in shaping resilient cities. International Journal of Applied Research in Social Sciences, Volume 5, Issue 10, December 2023, No. 674-692.

[75] Gil-Ozoudeh, I., Iwuanyanwu, O., Okwandu, A. C., & Ike, C. S. (2022). Life cycle assessment of green buildings: A comprehensive analysis of environmental impacts (pp. 729-747). Publisher. p. 730.

[76] Gorski, A. T., Gligorea, I., Gorski, H., & Oancea, R. (2022). Workforce and Workplace Ecosystem–Challenges and Opportunities in the Age of Digital Transformation and 4IR. In International Conference Knowledge-Based Organization (Vol. 28, No. 1, pp. 187-194).

[77] Grover, V., Chiang, R. H., Liang, T. P., & Zhang, D. (2018). Creating strategic business value from big data analytics: A research framework. Journal of management information systems, 35(2), 388-423.

[78] Imoisili, P., Nwanna, E., Enebe, G., & Jen, T. C. (2022, October). Investigation of the Acoustic Performance of Plantain (Musa Paradisiacal) Fibre Reinforced Epoxy Biocomposite. In ASME International Mechanical Engineering Congress and Exposition (Vol. 86656, p. V003T03A009). American Society of Mechanical Engineers.

[79] Iwuanyanwu, O., Gil-Ozoudeh, I., Okwandu, A. C., & Ike, C. S. (2022). The integration of renewable energy systems in green buildings: Challenges and opportunities. Journal of Applied

[80] Jia, F., Zuluaga-Cardona, L., Bailey, A., & Rueda, X. (2018). Sustainable supply chain management in developing countries: An analysis of the literature. Journal of cleaner production, 189, 263-278.

[81] Kasza, J. (2019). Forth Industrial Revolution (4 IR): digital disruption of cyber-physical systems. World Scientific News, 134(2).

[82] Krishnannair, A., Krishnannair, S., & Krishnannair, S. (2021). Learning environments in higher education: Their adaptability to the 4th industrial revolution and the'social transformation'discourse. South African journal of higher education, 35(3), 65-82.

[83] Kumar, S., & Aithal, P. S. (2020). Banking and Financial Analytics–An Emerging Big Opportunity Based on Online Big Data. International Journal of Case Studies in Business, IT and Education (IJCSBE), 4(2), 293-309.

[84] Lee, J., Suh, T., Roy, D., & Baucus, M. (2019). Emerging technology and business model innovation: the case of artificial intelligence. Journal of Open Innovation: Technology, Market, and Complexity, 5(3), 44.

[85] Leong, K., & Sung, A. (2018). FinTech (Financial Technology): what is it and how to use technologies to create business value in fintech way?. International journal of innovation, management and technology, 9(2), 74-78.

[86] Loureiro, S. M. C., Guerreiro, J., & Tussyadiah, I. (2021). Artificial intelligence in business: State of the art and future research agenda. Journal of business research, 129, 911-926.

[87] Lüdeke‐Freund, F. (2020). Sustainable entrepreneurship, innovation, and business models: Integrative framework and propositions for future research. Business Strategy and the Environment, 29(2), 665-681.

[88] Lukong, V. T., Mouchou, R. T., Enebe, G. C., Ukoba, K., & Jen, T. C. (2022). Deposition and characterization of self-cleaning TiO2 thin films for photovoltaic application. Materials today: proceedings, 62, S63-S72.

[89] Mabotja, T. P. (2022). An integrated supply chain management model for the South African steel manufacturing industry in the Fourth Industrial Revolution era (Doctoral dissertation, University of Johannesburg).

[90] Makarius, E. E., Mukherjee, D., Fox, J. D., & Fox, A. K. (2020). Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization. Journal of business research, 120, 262-273.

[91] Milian, E. Z., Spinola, M. D. M., & de Carvalho, M. M. (2019). Fintechs: A literature review and research agenda. Electronic commerce research and applications, 34, 100833.

[92] Moll, I. (2021). The myth of the fourth industrial revolution. Theoria, 68(167), 1-38.

[93] Mukhtarov, I. S. (2023). Methodology of leveraging big data in financial services for enhanced decision-making. Финансовые рынки и банки, (9), 104-115.

[94] Munoko, I., Brown-Liburd, H. L., & Vasarhelyi, M. (2020). The ethical implications of using artificial intelligence in auditing. Journal of business ethics, 167(2), 209-234.

[95] Odulaja, B. A., Ihemereze, K. C., Fakeyede, O. G., Abdul, A. A., Ogedengbe, D. E., & Daraojimba, C. (2023). Harnessing blockchain for sustainable procurement: opportunities and challenges. Computer Science & IT Research Journal, 4(3), 158-184.

[96] Ogbu, A. D., Eyo-Udo, N. L., Adeyinka, M. A., Ozowe, W., & Ikevuje, A. H. (2023). A conceptual procurement model for sustainability and climate change mitigation in the oil, gas, and energy sectors. World Journal of Advanced Research and Reviews, 20(3), 1935-1952.

[97] Ogbu, A. D., Iwe, K. A., Ozowe, W., & Ikevuje, A. H. (2023): Sustainable Approaches to Pore Pressure Prediction in Environmentally Sensitive Areas.

[98] Ogedengbe, D. E., James, O. O., Afolabi, J. O. A., Olatoye, F. O., & Eboigbe, E. O. (2023). Human resources in the era of the fourth industrial revolution (4ir): Strategies and innovations in the global south. Engineering Science & Technology Journal, 4(5), 308-322.

[99] Ojebode, A., & Onekutu, P. (2021). Nigerian Mass Media and Cultural Status Inequalities: A Study among Minority Ethnic Groups. Technium Soc. Sci. J., 23, 732.

[100] Okeke, C.I, Agu E.E, Ejike O.G, Ewim C.P-M and Komolafe M.O. (2022): A regulatory model for standardizing financial advisory services in Nigeria. International Journal of Frontline Research in Science and Technology, 2022, 01(02), 067–082.

[101] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2022). Developing a regulatory model for product quality assurance in Nigeria’s local industries. International Journal of Frontline Research in Multidisciplinary Studies, 1(02), 54–69.

[102] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2022). A service standardization model for Nigeria’s healthcare system: Toward improved patient care. International Journal of Frontline Research in Multidisciplinary Studies, 1(2), 40–53.

[103] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2022). A model for wealth management through standardized financial advisory practices in Nigeria. International Journal of Frontline Research in Multidisciplinary Studies, 1(2), 27–39.

[104] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2022). A conceptual model for standardizing tax procedures in Nigeria’s public and private sectors. International Journal of Frontline Research in Multidisciplinary Studies, 1(2), 14–26

[105] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2022). A conceptual framework for enhancing product standardization in Nigeria’s manufacturing sector. International Journal of Frontline Research in Multidisciplinary Studies, 1(2), 1–13.

[106] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2022). Modeling a national standardization policy for made-in-Nigeria products: Bridging the global competitiveness gap. International Journal of Frontline Research in Science and Technology, 1(2), 98–109.

[107] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2022). A theoretical model for standardized taxation of Nigeria’s informal sector: A pathway to compliance. International Journal of Frontline Research in Science and Technology, 1(2), 83–97.

[108] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2022). A model for foreign direct investment (FDI) promotion through standardized tax policies in Nigeria. International Journal of Frontline Research in Science and Technology, 1(2), 53–66.

[109] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2022). A regulatory model for standardizing financial advisory services in Nigeria. International Journal of Frontline Research in Science and Technology, 1(2), 67–82.

[110] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2023). A technological model for standardizing digital financial services in Nigeria. International Journal of Frontline Research and Reviews, 1(4), 57–073.

[111] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2023). A policy model for regulating and standardizing financial advisory services in Nigeria’s capital market. International Journal of Frontline Research and Reviews, 1(4), 40–56.

[112] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2023). A digital taxation model for Nigeria: standardizing collection through technology integration. International Journal of Frontline Research and Reviews, 1(4), 18–39.

[113] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2023). A conceptual model for standardized taxation of SMES in Nigeria: Addressing multiple taxation. International Journal of Frontline Research and Reviews, 1(4), 1–017.

[114] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2023). A theoretical framework for standardized financial advisory services in pension management in Nigeria. International Journal of Frontline Research and Reviews, 1(3), 66–82.

[115] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2023). A service delivery standardization framework for Nigeria’s hospitality industry. International Journal of Frontline Research and Reviews, 1(3), 51–65.

[116] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2023). A digital financial advisory standardization framework for client success in Nigeria. International Journal of Frontline Research and Reviews, 1(3), 18–32.

[117] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2023). A conceptual model for Agro-based product standardization in Nigeria’s agricultural sector. International Journal of Frontline Research and Reviews, 1(3), 1–17.

[118] Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2023). A theoretical model for harmonizing local and international product standards for Nigerian exports. International Journal of Frontline Research and Reviews, 1(4), 74–93.

[119] Okeke, I.C, Agu E.E, Ejike O.G, Ewim C.P-M and Komolafe M.O. (2023): A framework for standardizing tax administration in Nigeria: Lessons from global practices. International Journal of Frontline Research and Reviews, 2023, 01(03), 033–050.

[120] Okeke, I.C, Agu E.E, Ejike O.G, Ewim C.P-M and Komolafe M.O. (2022): A conceptual model for financial advisory standardization: Bridging the financial literacy gap in Nigeria. International Journal of Frontline Research in Science and Technology, 2022, 01(02), 038–052

[121] Okeleke, P. A., Ajiga, D., Folorunsho, S. O., & Ezeigweneme, C. (2023). Leveraging big data to inform strategic decision making in software development.

[122] Okpeh, O. O., & Ochefu, Y. A. (2010). The Idoma ethnic group: A historical and cultural setting. A Manuscript.

[123] Okunlaya, R. O., Syed Abdullah, N., & Alias, R. A. (2022). Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education. Library Hi Tech, 40(6), 1869-1892.

[124] Olufemi, B., Ozowe, W., & Afolabi, K. (2012). Operational Simulation of Sola Cells for Caustic. Cell (EADC), 2(6).

[125] Oyedokun, O. O. (2019). Green human resource management practices and its effect on the sustainable competitive edge in the Nigerian manufacturing industry (Dangote) (Doctoral dissertation, Dublin Business School).

[126] Oyeniran, C.O., Adewusi, A.O., Adeleke, A. G., Akwawa, L.A., Azubuko, C. F. (2023) AI-driven devops: Leveraging machine learning for automated software development and maintenance. Engineering Science & Technology Journal, 4(6), pp. 728-740

[127] Oyeniran, C.O., Adewusi, A.O., Adeleke, A. G., Akwawa, L.A., Azubuko, C. F. (2022). Ethical AI: Addressing bias in machine learning models and software applications. Computer Science & IT Research Journal, 3(3), pp. 115-126

[128] Oyeniran, C.O., Adewusi, A.O., Adeleke, A. G., Akwawa, L.A., Azubuko, C. F. (2023) Advancements in quantum computing and their implications for software development. Computer Science & IT Research Journal, 4(3), pp. 577-593

[129] Oyeniran, C.O., Adewusi, A.O., Adeleke, A. G., Akwawa, L.A., Azubuko, C. F. (2023) 5G technology and its impact on software engineering: New opportunities for mobile applications. Computer Science & IT Research Journal, 4(3), pp. 562-576

[130] Oyeniran, C.O., Adewusi, A.O., Adeleke, A. G., Akwawa, L.A., Azubuko, C. F. (2023) AI-driven devops: Leveraging machine learning for automated software development and maintenance. Engineering Science & Technology Journal, 4(6), pp. 728-740

[131] Oyeniran, C.O., Adewusi, A.O., Adeleke, A. G., Akwawa, L.A., Azubuko, C. F. (2022). Ethical AI: Addressing bias in machine learning models and software applications. Computer Science & IT Research Journal, 3(3), pp. 115-126

[132] Oyeniran, C.O., Adewusi, A.O., Adeleke, A. G., Akwawa, L.A., Azubuko, C. F. (2023) Advancements in quantum computing and their implications for software development. Computer Science & IT Research Journal, 4(3), pp. 577-593

[133] Oyeniran, C.O., Adewusi, A.O., Adeleke, A. G., Akwawa, L.A., Azubuko, C. F. (2023) 5G technology and its impact on software engineering: New opportunities for mobile applications. Computer Science & IT Research Journal, 4(3), pp. 562-576

[134] Oyeniran, O. C., Adewusi, A. O., Adeleke, A. G., Akwawa, L. A., & Azubuko, C. F. (2022): Ethical AI: Addressing bias in machine learning models and software applications.

[135] Oyindamola, A., & Esan, O. (2023). Systematic Review of Human Resource Management Demand in the Fourth Industrial Revolution Era: Implication of Upskilling, Reskilling and Deskilling. Lead City Journal of the Social Sciences (LCJSS), 8(2), 88-114.

[136] Ozowe, W. O. (2018). Capillary pressure curve and liquid permeability estimation in tight oil reservoirs using pressure decline versus time data (Doctoral dissertation).

[137] Ozowe, W. O. (2021). Evaluation of lean and rich gas injection for improved oil recovery in hydraulically fractured reservoirs (Doctoral dissertation).

[138] Ozowe, W., Daramola, G. O., & Ekemezie, I. O. (2023). Recent advances and challenges in gas injection techniques for enhanced oil recovery. Magna Scientia Advanced Research and Reviews, 9(2), 168-178.

[139] Ozowe, W., Quintanilla, Z., Russell, R., & Sharma, M. (2020, October). Experimental evaluation of solvents for improved oil recovery in shale oil reservoirs. In SPE Annual Technical Conference and Exhibition? (p. D021S019R007). SPE.

[140] Ozowe, W., Russell, R., & Sharma, M. (2020, July). A novel experimental approach for dynamic quantification of liquid saturation and capillary pressure in shale. In SPE/AAPG/SEG Unconventional Resources Technology Conference (p. D023S025R002). URTEC.

[141] Ozowe, W., Zheng, S., & Sharma, M. (2020). Selection of hydrocarbon gas for huff-n-puff IOR in shale oil reservoirs. Journal of Petroleum Science and Engineering, 195, 107683.

[142] Popo-Olaniyan, O., James, O. O., Udeh, C. A., Daraojimba, R. E., & Ogedengbe, D. E. (2022). Future-Proofing human resources in the US with AI: A review of trends and implications. International Journal of Management & Entrepreneurship Research, 4(12), 641-658.

[143] Popo-Olaniyan, O., James, O. O., Udeh, C. A., Daraojimba, R. E., & Ogedengbe, D. E. (2022). A review of us strategies for stem talent attraction and retention: challenges and opportunities. International Journal of Management & Entrepreneurship Research, 4(12), 588-606.

[144] Popo-Olaniyan, O., James, O. O., Udeh, C. A., Daraojimba, R. E., & Ogedengbe, D. E. (2022). Review of advancing US innovation through collaborative HR ecosystems: A sector-wide perspective. International Journal of Management & Entrepreneurship Research, 4(12), 623-640.

[145] Puntoni, S., Reczek, R. W., Giesler, M., & Botti, S. (2021). Consumers and artificial intelligence: An experiential perspective. Journal of Marketing, 85(1), 131-151.

[146] Puschmann, T. (2017). Fintech. Business & Information Systems Engineering, 59, 69-76.

[147] Quintanilla, Z., Ozowe, W., Russell, R., Sharma, M., Watts, R., Fitch, F., & Ahmad, Y. K. (2021, July). An experimental investigation demonstrating enhanced oil recovery in tight rocks using mixtures of gases and nanoparticles. In SPE/AAPG/SEG Unconventional Resources Technology Conference (p. D031S073R003). URTEC.

[148] Ramakgolo, M. A., & Ukwandu, D. C. (2020). The Fourth Industrial Revolution and its Implications for World Order. Administratio Publica, 28(4), 115-125.

[149] Ramakrishna, S., Ngowi, A., Jager, H. D., & Awuzie, B. O. (2020). Emerging industrial revolution: Symbiosis of industry 4.0 and circular economy: The role of universities. Science, Technology and Society, 25(3), 505-525.

[150] Ravi, V., & Kamaruddin, S. (2017). Big data analytics enabled smart financial services: opportunities and challenges. In Big Data Analytics: 5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings 5 (pp. 15-39). Springer International Publishing.

[151] Russ, M. (2021). Knowledge management for sustainable development in the era of continuously accelerating technological revolutions: A framework and models. Sustainability, 13(6), 3353.

[152] Schoenherr, T., & Speier‐Pero, C. (2015). Data science, predictive analytics, and big data in supply chain management: Current state and future potential. Journal of Business Logistics, 36(1), 120-132.

[153] Serumaga-Zake, J. M., & van der Poll, J. A. (2021). Addressing the impact of fourth industrial revolution on South African manufacturing small and medium enterprises (SMEs). Sustainability, 13(21), 11703.

[154] Stahl, B. C. (2021). Artificial intelligence for a better future: an ecosystem perspective on the ethics of AI and emerging digital technologies (p. 124). Springer Nature.

[155] Turktarhan, G., Aleong, D. S., & Aleong, C. (2022). Re-architecting the firm for increased value: How business models are adapting to the new AI environment. Journal of Global Business Insights, 7(1), 33-49.

[156] Turner, P., & Turner, P. (2021). The Fourth Industrial Revolution. The Making of the Modern Manager: Mapping Management Competencies from the First to the Fourth Industrial Revolution, 131-161.

[157] Wang, Z., Li, M., Lu, J., & Cheng, X. (2022). Business Innovation based on artificial intelligence and Blockchain technology. Information Processing & Management, 59(1), 102759.

[158] Williamson, B. (2017). Big data in education: The digital future of learning, policy and practice.

[159] Wright, S. A., & Schultz, A. E. (2018). The rising tide of artificial intelligence and business automation: Developing an ethical framework. Business Horizons, 61(6), 823-832.

[160] Zeufack, A. G., Calderon, C., Kubota, M., Kabundi, A. N., Korman, V., & Canales, C. C. (2021). Africa's Pulse, No. 23, October 2021. World Bank Publications.

[161] Zhang, P., Ozowe, W., Russell, R. T., & Sharma, M. M. (2021). Characterization of an electrically conductive proppant for fracture diagnostics. Geophysics, 86(1), E13-E20.

@article{1707205,
      author = {Ibidapo Abiodun Ogundeji, Hope Ehieghe Omokhoa, Chikezie Paul-Mikki Ewim, Godwin Ozoemenam Achumie},
      title = {Big Data-Driven Financial Analysis: A New Paradigm for Strategic Insights and Decision-Making},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {6},
      number = {12},
      pages = {1544-1569},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707205.pdf},
      abstract = {Big Data has revolutionized financial analysis, offering unprecedented opportunities for strategic insights and informed decision-making. This study explores a new paradigm where Big Data-driven approaches transform traditional financial analysis into a dynamic, predictive, and strategic tool. By leveraging advanced analytics, artificial intelligence (AI), and machine learning (ML), organizations can derive actionable insights from vast, diverse datasets to enhance financial performance, risk management, and market competitiveness. The proposed framework emphasizes the integration of Big Data with financial analytics to address key challenges such as data volume, velocity, and variety. It underscores the role of predictive modeling in forecasting trends, optimizing resource allocation, and identifying market opportunities. Additionally, real-time analytics is highlighted as a critical factor in improving agility and responsiveness to changing market conditions. The study also discusses the importance of data governance and quality in ensuring accurate and reliable financial insights. Ethical considerations, including data privacy and security, are central to the framework, promoting trust and compliance in data-driven financial strategies. Advanced tools like Natural Language Processing (NLP) and sentiment analysis are examined for their role in evaluating market sentiment and consumer behavior, offering a competitive edge in decision-making. Case studies across industries illustrate the successful application of Big Data in financial analysis, including its impact on investment strategies, credit risk assessment, and fraud detection. The findings demonstrate that a Big Data-driven approach fosters innovation, enhances financial forecasting, and supports strategic decision-making processes. This paradigm shift requires organizations to build robust infrastructure, invest in skilled talent, and adopt a culture of data-driven innovation. The research concludes by emphasizing the transformative potential of Big Data in redefining financial analysis and advancing organizational success in a rapidly evolving economic landscape.},
      month = {June},
  }