Innovationology and the End of Scarcity: A Post-Disciplinary Science of Abundance
DOI:
https://doi.org/10.64137/31079423/IJEBMR-V1I2P104Keywords:
Innovationology, post-scarcity, abundance economics, technological deflation, complex adaptive systems, energy transition, artificial intelligence, economic transformation, system dynamicsAbstract
Innovationology is a post-disciplinary scientific framework that conceptualizes innovation as a universal generative force governing the evolution of economic, technological, and social systems. This article demonstrates that sustained innovation systematically reduces marginal costs in energy, cognition, and digital information, thereby generating empirically observable post-scarcity regimes. By integrating complexity theory, endogenous technological change, and system dynamics, Innovationology establishes a formal relationship between innovation intensity, cost deflation, and abundance formation. Empirical evidence from renewable energy transitions, artificial intelligence and labor substitution, and digital replication validates this model. Simple but powerful equations link innovation to expanding productive capacity and collapsing marginal costs, offering testable predictions for the emergence of abundance-driven economies. The analysis shows that scarcity is not an ontological property of economic systems but a historically contingent condition that is progressively dissolved by innovation-driven scaling dynamics.
References
[1] Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188–2244.
[2] Antonelli, C. (2017). Endogenous innovation: the creative response. Economics of Innovation and New Technology, 26(8), 689-718.
[3] Brynjolfsson, E., & McAfee, A. (2014). The second machine age. W. W. Norton.
[4] Commons, J. R. (2018). Efficiency and Scarcity. In Institutional Economics (pp. 251-389). Routledge.
[5] Cristofaro, M., & Giardino, P. L. (2025). Human–AI synergy: finding cognitive balance in idea generation for product innovation. European Journal of Innovation Management, 1-23.
[6] Firdaus, N., & Mori, A. (2023). Stranded assets and sustainable energy transition: A systematic and critical review of incumbents' response. Energy for Sustainable Development, 73, 76-86.
[7] Hayek, F. A. (2013). The use of knowledge in society. In Modern understandings of liberty and property (pp. 27-38). Routledge.
[8] Liodakis, G. (2016). An exploration of scarcity in historical perspective. Science & Society, 80(2), 221-247.
[9] Liu, Z. (2025). Applications and Control Approaches of Hydrogen-Based Long-Term Energy Storage in Power Systems (Doctoral dissertation, University of Southern California).
[10] Marzouk, O. A. (2025). Summary of the 2023 report of TCEP. E3S Web of Conferences, 601, 00048.
[11] Mathews, J. A., & Reinert, E. S. (2014). Renewables, manufacturing, and green growth: Energy strategies based on capturing increasing returns. Futures, 61, 13-22.
[12] Moleka, P. (2024a). Innovationology: A Groundbreaking Transdisciplinary Framework for Sustainable and Equitable Development in Africa. International Journal of Social Sciences and Management Review, 7(5), 178-193.
[13] Moleka, P. (2024b). Innovation Metrics for the 21st Century: An Innovationology-based Comprehensive, Multidimensional Framework. International Journal of Social Sciences and Management Review, 7(05), 199-210.
[14] Moleka, P. (2025a). Revolutionizing Diagnostic Radiology in Low-Resource African Settings: Indigenous Innovations, Technological Gaps, and the Ethics of Clinical Visibility. Technological Gaps, and the Ethics of Clinical Visibility (August 05, 2025).
[15] Moleka, P. (2025b). Unlocking the innovation code: Towards a grand unified theory.
[16] Moleka, P. (2025c). Cognitive Ecologies of AI-Enhanced Learning: Toward a Meta-Intelligent Pedagogy for the Post-Digital Age. Available at SSRN 5410022.
[17] Moleka, P. (2025d). Decentralized Intelligence: Designing AI-Enabled Governance for the 21st Century. International Journal of Economics and Business Management Research, 1(2), 9-14.
[18] Moleka, P. (2025e). Quantum Economics: Reframing Value, Scarcity, and Exchange in the Digital Age. International Journal of Finance, Economics, and Management Studies, 1(2), 41-46.
[19] Moleka, P. (2025f). Anthropology of Post-Growth Societies: Ritual, Value, Moral Economies, and Civilizational Transitions. Value, Moral Economies, and Civilizational Transitions (December 09, 2025).
[20] Moleka, P. (2025g). Post-Scarcity Development for Emerging Economies: Towards Hybrid Prosperity Systems Beyond Economic Output Measures. International Journal of Finance, Economics, and Management Studies, 1(2), 36-40.
[21] Romer, P. M. (1990). Endogenous technological change. Journal of Political Economy, 98(5), S71–S102.
[22] Samuelson, P. A. (1954). The pure theory of public expenditure. Review of Economics and Statistics, 36(4), 387–389.
[23] Sandoval, D. D., Uleri, F., & Durán, G. (2023). Scarcity Concept in the contemporary mainstream economic science: an analysis of its ontological and epistemological ambiguity. Journal of Philosophical Economics, 16(Articles).
[24] Shapiro, C., & Varian, H. R. (1999). Information rules. Harvard Business School Press.
[25] Varian, H. R. (2014). Intermediate microeconomics (9th ed.). W. W. Norton.
[26] Vimmerstedt, L. et al. (2022). Annual technology baseline: 2022 electricity update. NREL.
[27] Wright, C. S. (2025). Epistemic Scarcity: The Economics of Unresolvable Unknowns. arXiv preprint arXiv:2507.01483.
[28] Yasuda, A., & Maruyama, Y. (2026). Creativity in the age of generative AI. AI and Ethics, 6(1), 46.
