Artificial Intelligence and Epistemic Authority: A Conceptual Framework for Knowledge Legitimacy, Organisational Performance and Economic Growth

Solomon Olusakin Akindipe; Mzolisi Abednigo Payi

Artificial Intelligence and Epistemic Authority: A Conceptual Framework for Knowledge Legitimacy, Organisational Performance and Economic Growth

Abstract

Artificial Intelligence (AI) is increasingly reshaping how knowledge is produced, validated, and applied within organisations, institutions, and economies. While existing studies often examine AI as a tool for automation, productivity enhancement, and decision support, less attention has been given to how AI-generated outputs acquire epistemic legitimacy and exercise authority-like influence over organisational and economic decision-making. This conceptual study develops a framework explaining how AI adoption contributes to economic growth through organisational performance, productivity, innovation, competitiveness, legitimacy, and institutional support. Drawing on authority theory and institutional theory, with supporting insights from creative destruction, agency, and ethical perspectives, the paper argues that AI-driven growth depends not only on technological capability but also on trust, explainability, governance, human capital, technical infrastructure, and regulatory clarity. The simplified framework positions AI adoption as the independent variable and economic growth as the outcome. Epistemic legitimacy and organisational performance operate as sequential mediating mechanisms, while AI readiness, comprising AI knowledge, AI capability, human capital, and technical infrastructure, serves as an enabling condition. The institutional environment, reflected in institutional quality and legal and regulatory clarity, moderates the extent to which AI-generated outputs acquire legitimacy and contribute to organisational and economic.The study contributes to the literature by distinguishing AI’s role as a productivity-enhancing technology from its authority-like epistemic and economic functions. These functions do not arise from consciousness, moral agency, or autonomous judgment, but from the extent to which organisations and institutions treat AI-generated outputs as credible, actionable, and legitimate.The framework is particularly relevant for emerging economies, where weak infrastructure, limited finance, skills shortages, regulatory uncertainty, and fragile institutional trust may constrain AI-driven development. The paper concludes that AI’s contribution to economic growth is conditional rather than automatic and requires coordinated investment in human capacity, institutional governance, responsible regulation, and technological readiness.

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References

Ali, D., & Frimpong, S. (2020). Artificial intelligence, machine learning and process automation: existing knowledge frontier and way forward for mining sector. Artificial Intelligence Review, 53(8), 6025–6042. https://doi.org/10.1007/s10462-020-09841-6
Asaleye, A. J. (2026). Gendered dimensions of agricultural performance and infrastructure development: evidence from the Southern African Development Community. Agriculture & Food Security, 15(1), 17. https://doi.org/10.1186/s40066-025-00598-1
Behera, M. K., Behera, R. K., & Bala, P. K. (2026). Adoption of AI in human capital development: a multi-industry perspective. Journal of Enterprise Information Management, 39(2), 788–814. https://doi.org/10.1108/JEIM-06-2025-0490
Burström, T., Parida, V., Lahti, T., & Wincent, J. (2021). AI-enabled business-model innovation and transformation in industrial ecosystems: A framework, model and outline for further research. Journal of Business Research, 127, 85–95. https://doi.org/10.1016/j.jbusres.2021.01.016
Collins, C., Dennehy, D., Conboy, K., & Mikalef, P. (2021). Artificial intelligence in information systems research: A systematic literature review and research agenda. International Journal of Information Management, 60, 102383. https://doi.org/10.1016/j.ijinfomgt.2021.102383
Fan, D., & Liu, K. (2021). The relationship between artificial intelligence and China’s sustainable economic growth: focused on the mediating effects of industrial structural change. Sustainability, 13(20), 11542. https://doi.org/10.3390/su132011542
Gonzales, J. T. (2023). Implications of AI innovation on economic growth: a panel data study. Journal of Economic Structures, 12(1), 13. https://doi.org/10.1186/s40008-023-00307-w
Hernandez, A. A., Sacdalan, R. V., Sopoco, C. T., Villapando, J. E., & Garcia, P. M. (2024, February). Predicting the Innovation Capability for Firm Performance: the role of Artificial Intelligence in the Philippines Startups Perspective. In 2024 16th International Conference on Knowledge and Smart Technology (KST) (pp. 195–200). IEEE. https://ieeexplore.ieee.org/abstract/document/10499661

Itai, M., Emena, O. U., & Daniel, U. (2024). Exploring the role of artificial intelligence capabilities on small and medium-sized enterprises growth in Nigeria. African Journal of Economic and Business Research, 3(2). https://doi.org/10.20372/pzr3fx22
Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organisational decision making. Business horizons, 61(4), 577–586. https://doi.org/10.1016/j.bushor.2018.03.007
Kassa, B. Y., & Worku, E. K. (2025). The impact of artificial intelligence on organisational performance: The mediating role of employee productivity. Journal of open innovation: technology, market, and complexity, 11(1), 100474. https://doi.org/10.1016/j.joitmc.2025.100474
Lin, S., Wang, M., Jing, C., Zhang, S., Chen, J., & Liu, R. (2024). The influence of AI on the economic growth of different regions in China. Scientific Reports, 14(1), 9169. https://doi.org/10.1038/s41598-024-59968-7
Marwala, T. (2025, June 23). A Call to Action on AI and the Future of Economic Governance. United Nations University, UNU Centre. https://unu.edu/article/call-action-ai-and-future-economic-governance
Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualisation, measurement calibration, and empirical study on its impact on organisational creativity and firm performance. Information & management, 58(3), 103434. https://doi.org/10.1016/j.im.2021.103434
Moujahid, O. E., Murtinu, S., & Sekerci, N. (2023). Artificial Intelligence and Firm Performance during COVID-19. https://doi.org/10.2139/ssrn.4544691
Mukhamediev, R. I., Popova, Y., Kuchin, Y., Zaitseva, E., Kalimoldayev, A., Symagulov, A., ... & Yelis, M. (2022). Review of artificial intelligence and machine learning technologies: Classification, restrictions, opportunities and challenges. Mathematics, 10(15), 2552. https://doi.org/10.3390/math10152552
Mukhamediev, R. I., Symagulov, A., Kuchin, Y., Yakunin, K., & Yelis, M. (2021). From classical machine learning to deep neural networks: A simplified scientometric review. Applied Sciences, 11(12), 5541. https://doi.org/10.3390/app11125541
Narwane, V. S., & Priyadarshinee, P. (2025). Examining the effect of AI-BDA on manufacturing firm performance: An Indian approach. International Journal of Information Management Data Insights, 5(1), 100306. https://doi.org/10.1016/j.jjimei.2024.100306
Obiya, S. O. (2024). Impact of artificial intelligence (AI) on the growth of startups in Nigeria. Journal of Economics and Allied Research (JEAR), 1.
Oduro, S., De Nisco, A., & Mainolfi, G. (2023). Do digital technologies pay off? A meta-analytic review of the digital technologies/firm performance nexus. Technovation, 128, 102836. https://doi.org/10.1016/j.technovation.2023.102836
Prem, E. (2023). From ethical AI frameworks to tools: a review of approaches. AI and Ethics, 3(3), 699–716. https://doi.org/10.1007/s43681-023-00258-9
Saba, C. S., & Ngepah, N. (2024). The impact of artificial intelligence (AI) on employment and economic growth in BRICS: Does the moderating role of governance Matter? Research in Globalisation, 8, 100213. https://doi.org/10.1016/j.resglo.2024.100213
Saha, D., Young, T. M., & Thacker, J. (2023). Predicting firm performance and size using machine learning with a Bayesian perspective. Machine Learning with Applications, 11, 100453. https://doi.org/10.1016/j.mlwa.2023.100453
Saranya, A., & Subhashini, R. (2023). A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends. Decision analytics journal, 7, 100230. https://doi.org/10.1016/j.dajour.2023.100230
Sarker, I. H. (2022). AI-based modelling: techniques, applications and research issues towards automation, intelligent and smart systems. SN computer science, 3(2), 158. https://doi.org/10.1007/s42979-022-01043-x
Schumpeter, J. A. (1964). Business Cycles: A Theoretical, Historical, and Statistical Analysis of the Capitalist Process, 1939. Acessado em, 4. https://doi.org/10.1007/978-1-349-15998-7_5
Sperling, K., Stenliden, L., Mannila, L., Hallström, J., Nordlöf, C., & Heintz, F. (2025). Perspectives on AI literacy in Middle School Classrooms: An Integrative Review. Postdigital Science and Education, 7(3), 719–749. https://doi.org/10.1007/s42438-025-00560-1
Teo, S. A. (2022). How artificial intelligence systems challenge the conceptual foundations of the human rights legal framework. Nordic Journal of Human Rights, 40(1), 216–234. https://doi.org/10.1080/18918131.2022.2073078
Tizhoosh, H. R., & Pantanowitz, L. (2018). Artificial intelligence and digital pathology: challenges and opportunities. Journal of Pathology Informatics, 9(1), 38. https://doi.org/10.4103/jpi.jpi_53_18
Trabelsi, M. A. (2024). The impact of artificial intelligence on economic development. Journal of Electronic Business & Digital Economics, 3(2), 142–155. https://doi.org/10.1108/JEBDE-10-2023-0022
Vaikosen, B., & Magini, G. U. (2025). Assessing the Impact of Artificial Intelligence on Productivity and Global Market Competitiveness: A Case Study of Nigeria. Faculty of Natural and Applied Sciences Journal of Computing and Applications, 2(2), 85-92. https://fnasjournals.com/index.php/FNAS-JCA/article/view/674
van Noordt, C. (2022, June). Conceptual challenges of researching Artificial Intelligence in public administrations. In Proceedings of the 23rd Annual International Conference on Digital Government Research (pp. 183–190). https://doi.org/10.1145/3543434.3543441
Wahab, M. D. A., & Radmehr, M. (2024). The impact of AI assimilation on firm performance in small and medium-sized enterprises: A moderated multi-mediation model. Heliyon, 10(8). https://doi.org/10.1016/j.heliyon.2024.e29580
Yavuz, M. S., & Çalık, H. (2025). AI and ML patent intensity and firm performance: A machine learning-based lagged analysis. European Research on Management and Business Economics, 31(3), 100291. https://doi.org/10.1016/j.iedeen.2025.100291

Details

Primary Language

English

Subjects

Planning and Decision Making

Journal Section

Research Article

Authors

Solomon Olusakin Akindipe This is me
0009-0007-4620-9909
Kenya

Mzolisi Abednigo Payi ^*
0009-0008-0318-0031
South Africa

Publication Date

August 10, 2026

Submission Date

May 16, 2026

Acceptance Date

August 4, 2026

Published in Issue

Year 2026 Number: 10

IZ

https://izlik.org/JA88FJ33SR

Cite

RIS / Bibtex

APA

Akindipe, S. O., & Payi, M. A. (2026). Artificial Intelligence and Epistemic Authority: A Conceptual Framework for Knowledge Legitimacy, Organisational Performance and Economic Growth. Journal of AI, 10, 217-239. https://izlik.org/JA88FJ33SR

AMA

1.Akindipe SO, Payi MA. Artificial Intelligence and Epistemic Authority: A Conceptual Framework for Knowledge Legitimacy, Organisational Performance and Economic Growth. Journal of AI. 2026;(10):217-239. https://izlik.org/JA88FJ33SR

Chicago

Akindipe, Solomon Olusakin, and Mzolisi Abednigo Payi. 2026. “Artificial Intelligence and Epistemic Authority: A Conceptual Framework for Knowledge Legitimacy, Organisational Performance and Economic Growth”. Journal of AI, nos. 10: 217-39. https://izlik.org/JA88FJ33SR.

EndNote

Akindipe SO, Payi MA (August 1, 2026) Artificial Intelligence and Epistemic Authority: A Conceptual Framework for Knowledge Legitimacy, Organisational Performance and Economic Growth. Journal of AI 10 217–239.

IEEE

[1]S. O. Akindipe and M. A. Payi, “Artificial Intelligence and Epistemic Authority: A Conceptual Framework for Knowledge Legitimacy, Organisational Performance and Economic Growth”, Journal of AI, no. 10, pp. 217–239, Aug. 2026, [Online]. Available: https://izlik.org/JA88FJ33SR

ISNAD

Akindipe, Solomon Olusakin - Payi, Mzolisi Abednigo. “Artificial Intelligence and Epistemic Authority: A Conceptual Framework for Knowledge Legitimacy, Organisational Performance and Economic Growth”. Journal of AI. 10 (August 1, 2026): 217-239. https://izlik.org/JA88FJ33SR.

JAMA

1.Akindipe SO, Payi MA. Artificial Intelligence and Epistemic Authority: A Conceptual Framework for Knowledge Legitimacy, Organisational Performance and Economic Growth. Journal of AI. 2026;:217–239.

MLA

Akindipe, Solomon Olusakin, and Mzolisi Abednigo Payi. “Artificial Intelligence and Epistemic Authority: A Conceptual Framework for Knowledge Legitimacy, Organisational Performance and Economic Growth”. Journal of AI, no. 10, Aug. 2026, pp. 217-39, https://izlik.org/JA88FJ33SR.

Vancouver

1.Solomon Olusakin Akindipe, Mzolisi Abednigo Payi. Artificial Intelligence and Epistemic Authority: A Conceptual Framework for Knowledge Legitimacy, Organisational Performance and Economic Growth. Journal of AI [Internet]. 2026 Aug. 1;(10):217-39. Available from: https://izlik.org/JA88FJ33SR

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M. Önder GÖNCÜOĞLU

Comparative and Transnational Literature, Medieval Literature, Screen and Media Culture, History of Ideas, Ancient Philosophy, Cognitive Anthropology, Anthropology of Media, Evolutionary Psychological Studies, Documentary Film - Political Cinema, Medieval European History, Roman History, Oral History, Literature of History, Christian Studies

Şule ÖZTÜRK BIRIM

Information Systems Development Methodologies and Practice, Decision Support and Group Support Systems, Management Information Systems, Pattern Recognition, Deep Learning, Neural Networks, Machine Learning Algorithms, Data Management and Data Science, Recommender Systems, Natural Language Processing, Business Information Systems

Pijush DUTTA

Deep Learning, Machine Learning (Other), Bioinformatic Methods Development, Biological Network Analysis, Engineering, Optimization in Manufacturing

SS

Sivabalan SETTU

Wireless Communication Systems and Technologies (Incl. Microwave and Millimetrewave)

Dr. Biswadip BASU MALLIK

Data Engineering and Data Science, Data Analysis, Satisfiability and Optimisation, Modelling and Simulation, Artificial Life and Complex Adaptive Systems, Biostatistics, Computational Statistics, Statistical Analysis, Statistical Data Science, Quantitative Decision Methods , Stochastic Analysis and Modelling, Applied Statistics, Experimental Mathematics, Mathematical Optimisation, Numerical Analysis, Finite Element Analysis , Operations Research İn Mathematics, Theoretical and Applied Mechanics in Mathematics, Computational Methods in Fluid Flow, Heat and Mass Transfer (Incl. Computational Fluid Dynamics)

Murat EMEÇ

Information and Computing Sciences, Information Systems, Information Systems Development Methodologies and Practice, Information Systems Organisation and Management, Business Process Management, Decision Support and Group Support Systems, Management Information Systems, Networking and Communications, Cloud Computing, Algorithms and Calculation Theory, Machine Learning, Information Security and Cryptology, Big Data, Data Mining and Knowledge Discovery, Artificial Intelligence, Computer System Software, Computer Software, Social Media Applications and Analysis, Information and Technology Law, Business Analytics, Business Information Systems, Technology Management

Balakrishnama MANOHAR

Deep Learning, Neural Networks, Adversarial Machine Learning

AK

Anita Gautam KHANDIZOD

Pattern Recognition, Deep Learning, Machine Learning (Other), Fuzzy Computation, Natural Language Processing

Hami Onur BINGÖL

Animation, Photography, Fine Arts, Video Art

ES

Esra SÖĞÜT

Cyberphysical Systems and Internet of Things, Deep Learning, Machine Learning (Other), Information Security and Cryptology, System and Network Security, Cybersecurity and Privacy (Other), Data Mining and Knowledge Discovery, Artificial Intelligence (Other)

SC

Subrata CHATTOPADHYAY

Forensic Science and Management, Marketing Management

Alper ŞAKALAR

Interpretation in Western Classical Music, Music Technology and Recording, Interpretation in Turkish Folk Music

EA

Eslam ALJAAFIL

Curriculum Development in Education, Adult Education, Primary Education

Umut Can ÇABUK

Cyberphysical Systems and Internet of Things, Information Security and Cryptology, Cryptography, Wireless Communication Systems and Technologies (Incl. Microwave and Millimetrewave)

Vijaya Kittu MANDA

Metaverse, Natural Language Processing, Planning and Decision Making, Green Economy, Banking Management, Business Administration, Sustainability Accounting and Reporting

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	Harvard Hollis
	OpenAIRE
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	ERIHPLUS
	Web of Science (WoS) Research Commons Database
	Directory of Open Access Journals (DOAJ)

Artificial Intelligence and Epistemic Authority: A Conceptual Framework for Knowledge Legitimacy, Organisational Performance and Economic Growth