CITEDENESS
Formalization of the Awareness Variable (C) and the Rate of Evolution in Integrated Reality Theory (IRT): A Dynamic Framework for Systemic Analysis
(1) Universitas 17 Agustus 1945 Surabaya, Indonesia
(2) Universitas 17 Agustus 1945 Surabaya, Indonesia
(*) Corresponding Author
Abstract
Introduction: The increasing complexity of contemporary systems requires theoretical frameworks capable of explaining how awareness and systemic change interact dynamically over time. Existing systemic approaches often treat awareness as a static or secondary element, making it difficult to explain how changes in awareness influence the evolution of an integrated system. This study aims to formalize the Awareness Variable (C) and the Rate of Evolution within Integrated Reality Theory (IRT) and to develop a dynamic framework for understanding their interaction in systemic processes.
Methods: This study employed a theoretical and conceptual research approach based on mathematical formalization and systemic analysis. The Awareness Variable (C) was conceptualized as a dynamic component representing the degree of awareness within an integrated system, while the Rate of Evolution was formulated as a measure of the speed and direction of systemic transformation over time. The relationships between awareness, systemic conditions, and evolutionary change were examined through conceptual modeling and dynamic formulation to establish a coherent framework for analyzing interconnected systems.
Results: The findings demonstrate that the Awareness Variable (C) can be formalized as a dynamic component that influences the capacity of an integrated system to respond, adapt, and evolve. The Rate of Evolution is identified as a function of changes in awareness and the interaction among relevant systemic components. The proposed formulation indicates that increasing levels of awareness may accelerate adaptive transformation when supported by favorable systemic conditions, whereas low or fragmented awareness may constrain evolutionary processes. The framework further demonstrates that awareness and evolution should not be treated as independent variables but as mutually interacting dimensions within an integrated reality.Conclusion and suggestion: This study contributes to the development of Integrated Reality Theory by providing a formal conceptualization of awareness and evolutionary dynamics within a systemic framework. The proposed model offers a basis for examining how changes in awareness can influence the trajectory, stability, and transformation of complex systems. Future research is recommended to operationalize the proposed variables using empirical data, develop measurable indicators of awareness and evolutionary rates, and test the model across different social, economic, technological, and organizational systems.
Methods: This study employed a theoretical and conceptual research approach based on mathematical formalization and systemic analysis. The Awareness Variable (C) was conceptualized as a dynamic component representing the degree of awareness within an integrated system, while the Rate of Evolution was formulated as a measure of the speed and direction of systemic transformation over time. The relationships between awareness, systemic conditions, and evolutionary change were examined through conceptual modeling and dynamic formulation to establish a coherent framework for analyzing interconnected systems.
Results: The findings demonstrate that the Awareness Variable (C) can be formalized as a dynamic component that influences the capacity of an integrated system to respond, adapt, and evolve. The Rate of Evolution is identified as a function of changes in awareness and the interaction among relevant systemic components. The proposed formulation indicates that increasing levels of awareness may accelerate adaptive transformation when supported by favorable systemic conditions, whereas low or fragmented awareness may constrain evolutionary processes. The framework further demonstrates that awareness and evolution should not be treated as independent variables but as mutually interacting dimensions within an integrated reality.Conclusion and suggestion: This study contributes to the development of Integrated Reality Theory by providing a formal conceptualization of awareness and evolutionary dynamics within a systemic framework. The proposed model offers a basis for examining how changes in awareness can influence the trajectory, stability, and transformation of complex systems. Future research is recommended to operationalize the proposed variables using empirical data, develop measurable indicators of awareness and evolutionary rates, and test the model across different social, economic, technological, and organizational systems.
Keywords
Integrated Reality Theory, Awareness Variable, Rate of Evolution, Systemic Analysis
Full Text:
PDFReferences
Acemoglu, D., & Robinson, J. A. (2019). The narrow corridor: States, societies, and the fate of liberty. Penguin Press.
Argyris, C., & Schön, D. A. (1978). Organizational learning: A theory of action perspective. Addison-Wesley.
Besley, T., & Persson, T. (2009). The origins of state capacity: Property rights, taxation, and politics. American Economic Review, 99(4), 1218–1244. https://doi.org/10.1257/aer.99.4.1218
Bourdieu, P. (1990). The logic of practice. Stanford University Press.
Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152. https://doi.org/10.2307/2393553
Giddens, A. (1984). The constitution of society: Outline of the theory of structuration. University of California Press.
Henrich, J. (2020). The WEIRDest people in the world: How the West became psychologically peculiar and particularly prosperous. Farrar, Straus and Giroux.
Lakatos, I. (1970). Falsification and the methodology of scientific research programmes. In I. Lakatos & A. E. Musgrave (Eds.), Criticism and the growth of knowledge (pp. 91–196). Cambridge University Press.
North, D. C. (1990). Institutions, institutional change and economic performance. Cambridge University Press.
Ostrom, E. (1990). Governing the commons: The evolution of institutions for collective action. Cambridge University Press.
Popper, K. (1959). The logic of scientific discovery. Basic Books.
Schumpeter, J. A. (1942). Capitalism, socialism and democracy. Harper & Brothers.
Shoim, M., & Choris, L. H. I. (2026). Occupying spiritual capital in Integrated Reality Theory as an analytical framework of systemic development: A conceptual synthesis. ADCENT Press.
Shoim, M., & Hwihanus. (2026). Diagnosis of Indonesia's middle-income trap through an Integrated Reality Theory (IRT) approach: A comparative qualitative analysis of Indonesia–Vietnam. Journal of Accounting Research, 4(2), 314–324.
Shoim, M., Mujanah, S., & Halik, A. (2026). Integrated Reality Theory (IRT) as a processual-relational integrative framework: Synthesis, novelties, and methodological implications. Journal of Finance, Economics and Business, 5(1).
DOI: 10.70095/alamwal.v18i1.25654
Article Metrics
Abstract view : 0 timesPDF - 0 times
Refbacks
- There are currently no refbacks.
Indexed by:
Mailing Address:
Department of Sharia Banking, Faculty of Islamic Economics and Business, UIN Siber Syekh Nurjati Cirebon
Jl. Perjuangan By Pass Sunyaragi Kesambi Kota Cirebon
E-Mail: journal.alamwal@gmail.com
Al-Amwal: Jurnal Ekonomi dan Perbankan Syariah is licensed under a Creative Commons Attribution 4.0 International License