Measuring Business Value from Enterprise Analytics: Ethical Tensions, Valuation Frameworks, and Stakeholder Reconciliation
DOI:
https://doi.org/10.54536/ajiri.v5i4.8193Keywords:
Algorithmic Fairness, Business Value, Enterprise Analytics, Esg, Ethical Governance, Multi Stakeholder Value Models, ROI, Stakeholder TheoryAbstract
The value of enterprise analytics has become a strategic necessity for today’s organizations, but the perception of business value is conceptually scattered and ethically debatable. The critical juncture between value measurement systems and ethical governance practices in enterprise analytics is explored through a comparison of purely financial return-on-investment (ROI) value frameworks and multi-stakeholder value frameworks, examining how they shape organizational decision-making and ethical outcomes. The study’s conceptual reconciliation process is grounded in a literature review of four key theories stakeholder theory, algorithmic fairness, integrated reporting, and data governance and identifies four fundamental ethical tensions: (1) shareholder primacy versus broader stakeholder equity; (2) short-term financial metrics versus long-term sustainability value; (3) algorithmic fairness versus analytical efficiency; and (4) opacity of data-driven decisions versus transparency obligations. The paper proposes a multi-dimensional value architecture combining financial performance indicators, environmental, social and governance (ESG) indicators, stakeholder participation mechanisms, and ethical audit procedures. The analysis suggests that organizations implementing stakeholder-inclusive analytics frameworks realize greater trust, innovation potential, and long-term resilience than those relying on financial ROI logic alone. The proposed framework is theoretically significant in extending stakeholder theory to the analytics domain, and practically significant in offering governance tools for reconciling conflicting value claims without compromising stakeholder rights or fairness. Policy implications for corporate governance boards and analytics practitioners are discussed.
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Adaga, E. M., Egieya, Z. E., Ewuga, S. K., Abdul, A. A., & Abrahams, T. O. (2024). Philosophy in business analytics: A review of sustainable and ethical approaches. International Journal of Management & Entrepreneurship Research, 6(1), 69–86. https://doi.org/10.51594/ijmer.v6i1.710
Assumang, D. K., Olotu, T. O., Obajaja, H. A., Folorunso, O., & Bella, I. (2025). Optimizing project management methodologies for non-profit and community-based organizations: A data-analytics-informed agile approach. American Journal of Social Development and Entrepreneurship, 4(2), 49–59. https://doi.org/10.54536/ajsde.v4i2.6331
Bogina, V., Hartman, A., Kuflik, T., & Shulner-Tal, A. (2021). Educating software and AI stakeholders about algorithmic fairness, accountability, transparency and ethics. International Journal of Artificial Intelligence in Education, 32, 808–833. https://doi.org/10.1007/s40593-021-00248-0
Chatterjee, S., Rana, N. P., & Dwivedi, Y. K. (2021). How does business analytics contribute to organisational performance and business value? A resource-based view. Information Technology & People, 37(2), 874–894. https://doi.org/10.1108/itp-08-2020-0603
Dadd, D., & Hinton, M. (2022). Performance measurement and evaluation: Applying return on investment (ROI) to human capital investments. International Journal of Productivity and Performance Management, 72(9), 2736–2764. https://doi.org/10.1108/ijppm-10-2021-0573
Dameri, R., & Ferrando, P. (2021). Value creation disclosure: The international integrated reporting framework revisited in the light of stakeholder theory. Meditari Accountancy Research, 30(3), 739–761. https://doi.org/10.1108/medar-11-2020-1103
Dare, S. O., Ajayi, J. O., & Chima, O. K. (2025). A sustainability-driven reporting model for evaluating return on investment in environmentally responsible business practices. Engineering and Technology Journal, 10(9), 6802–6826. https://doi.org/10.47191/etj/v10i09.08
De-Arteaga, M., Feuerriegel, S., & Saar-Tsechansky, M. (2022). Algorithmic fairness in business analytics: Directions for research and practice. Production and Operations Management, 31(10), 3749–3770. https://doi.org/10.1111/poms.13839
Donaldson, T., & Preston, L. E. (1995). The stakeholder theory of the corporation: Concepts, evidence, and implications. Academy of Management Review, 20(1), 65–91.
Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2021). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), 1709–1734. https://doi.org/10.1007/s10796-021-10186-w
Freeman, R. E. (1984). Strategic management: A stakeholder approach. Pitman Publishing.
Friedman, M. (1970, September 13). The social responsibility of business is to increase its profits. The New York Times Magazine, 32–33, 122, 124, 126.
Häußermann, J. J., & Lütge, C. (2021). Community-in-the-loop: Towards pluralistic value creation in AI, or why AI needs business ethics. AI and Ethics, 2, 341–362. https://doi.org/10.1007/s43681-021-00047-2
Huang, D. (2021). Environmental, social and governance factors and assessing firm value: Valuation, signalling and stakeholder perspectives. Accounting & Finance, 62(S1), 1983–2010. https://doi.org/10.1111/acfi.12849
Ibeama, O. T., Alabi, R. O., Dampare Addo, L. A., Ijebor, L., & Anaege, A. E. (2025). The intersection of Green AI, digital advertising, and corporate sustainability: A systematic review. American Journal of Economics and Business Innovation, 4(2), 234–244. https://doi.org/10.54536/ajebi.v4i2.5373
Jara, M. F. de la C., Spanjol, J., & Doppstadt, T. (2024). Strategic social value orientation and sustainability performance: A commensuration perspective. Organization Studies, 46(5), 635–666. https://doi.org/10.1177/01708406241242900
Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305–360.
Landers, R., & Behrend, T. S. (2022). Auditing the AI auditors: A framework for evaluating fairness and bias in high-stakes AI predictive models. American Psychologist, 78(1), 36–49. https://doi.org/10.1037/amp0000972
Mlybari, E. A., & Elgohary, H. (2025). AI-driven value management in construction: A theoretically-grounded framework with empirical validation. Journal of Umm Al-Qura University for Engineering and Architecture, 16, 1686–1705. https://doi.org/10.1007/s43995-025-00203-3
Morin, S. L. (2024). The financial trap of short-term focus eroding long-term value in financial management: A theoretical analysis. Financial Markets, Institutions and Risks, 8(4), 148–162. https://doi.org/10.61093/fmir.8(4).148-162.2024
Munteanu, I., Ionescu-Feleaga, L., Ionescu, B.-S., Spanu, A., & Rus, M. (2025). The philosophy of financial performance: A bibliometric and conceptual review. International Journal of Financial Studies, 13(3), Article 172. https://doi.org/10.3390/ijfs13030172
Nunan, D., & Di Domenico, M. (2022). Value creation in an algorithmic world: Towards an ethics of dynamic pricing. Journal of Business Research, 150, 451–460. https://doi.org/10.1016/j.jbusres.2022.06.032
Paulraj, T. J. H. J. (2025). Ethical design in artificial intelligence-driven analytics: Ensuring transparency and fairness in business decisions. European Journal of Computer Science and Information Technology, 13(45), 60–74. https://doi.org/10.37745/ejcsit.2013/vol13n456074
Quach, S., Thaichon, P., Martin, K. D., Weaven, S., & Palmatier, R. W. (2022). Digital technologies: Tensions in privacy and data. Journal of the Academy of Marketing Science, 50(6), 1299–1323. https://doi.org/10.1007/s11747-022-00845-y
Rukh, S., Oziri, S. T., & Seyi-Lande, O. B. (2025). A framework for leveraging artificial intelligence in strategic business decision-making. Gulf Journal of Advance Business Research, 3(11), 1517–1558. https://doi.org/10.51594/gjabr.v3i11.171
Sewpersadh, N. S. (2023). Disruptive business value models in the digital era. Journal of Innovation and Entrepreneurship, 12(1), Article 2. https://doi.org/10.1186/s13731-022-00252-1
Srivastava, S., & Dixit, G. (2023). Value of analytics for decision-making: Role of managers and analysts. Journal of Computer Information Systems, 65(1), 28–46. https://doi.org/10.1080/08874417.2023.2255557
Sura, R., & Governance, A. I. (2025). Ethical AI in enterprise analytics: Balancing innovation with fairness, privacy, and transparency. International Journal of Computational and Experimental Science and Engineering. https://doi.org/10.22399/ijcesen.3762
Tapaninaho, R., & Heikkinen, A. (2022). Value creation in circular economy business for sustainability: A stakeholder relationship perspective. Business Strategy and the Environment, 31(6), 2728–2740. https://doi.org/10.1002/bse.3002
Thusini, S., Milenova, M., Nahabedian, N., Grey, B., Soukup, T., Chua, K.-C., & Henderson, C. (2022). The development of the concept of return-on-investment from large-scale quality improvement programmes in healthcare: An integrative systematic literature review. BMC Health Services Research, 22(1), Article 1492. https://doi.org/10.1186/s12913-022-08832-3
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222.
Tursunbayeva, A., Pagliari, C., Di Lauro, S., & Antonelli, G. (2021). The ethics of people analytics: Risks, opportunities and recommendations. Personnel Review, 51(3), 900–921. https://doi.org/10.1108/pr-12-2019-0680
Velte, P. (2021). Archival research on integrated reporting: A systematic review of main drivers and the impact of integrated reporting on firm value. Journal of Management and Governance, 26(3), 997–1061. https://doi.org/10.1007/s10997-021-09582-w
Yalley, P. (2025). Adopting a stakeholder perspective in analytics. World Journal of Advanced Research and Reviews, 28(1), 2219–2225. https://doi.org/10.30574/wjarr.2025.28.1.3685
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.
Zumente, I., & Bistrova, J. (2021). ESG importance for long-term shareholder value creation: Literature vs. practice. Journal of Open Innovation: Technology, Market, and Complexity, 7(2), Article 127. https://doi.org/10.3390/joitmc7020127
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