Algorithmic Trust And Ai Literacy In Shaping Economic Decision-Making: The Role Of Perceived Autonomy As A Mediating Variable
DOI:
https://doi.org/10.38035/jmpd.v4i4.814Keywords:
Algorithmic Trust, AI Literacy, Perceived Autonomy, Economic Decision MakingAbstract
The use of artificial intelligence in economic activities continues to increase, but it poses a risk of dependency if not accompanied by rational trust and adequate literacy. This study aims to analyze the relationship between algorithmic trust and AI literacy on economic decision-making, both directly and through perceived autonomy as a mediating variable. The research method uses a quantitative explanatory approach through a survey of 200 AI user respondents in Indonesia. Data were analyzed using Partial Least Square Structural Equation Modeling. The results of this study are expected to demonstrate the extent to which algorithmic trust and AI literacy encourage more critical and responsible economic decision-making through the psychological mechanism of user autonomy. The novelty of this research lies in placing perceived autonomy as an empirical mediating variable, rather than merely an ethical issue, in the context of economic decision-making in developing countries.
Keyword: Algorithmic Trust, AI Literacy, Perceived Autonomy, Economic Decision Making.
References
Aysolmaz, B., Müller, R., & Meacham, D. (2023). The public perceptions of algorithmic decision-making systems: Results from a large-scale survey. Telematics and Informatics, 79, 101954.
Bećirović, S., Polz, E., & Tinkel, I. (2025). Exploring students’ AI literacy and its effects on their AI output quality, self efficacy, and academic performance. Smart Learning Environments, 12(29), 2-25.
Carolus, A., Koch, M. J., Straka, S., Latoschik, M. E., & Wienrich, C. (2023). MAILS—Meta AI Literacy Scale: Development and testing of an AI literacy questionnaire based on well-founded competency models and psychological change and meta-competencies. Computers in Human Behavior: Artificial Humans, 1(2), 100014.
Chang, C.-Y., Park, S.-J., & Dinh, M. C. (2026). Advice by algorithms: Dual dimensions of trust in AI financial service adoption. Journal of Retailing and Consumer Services, 88, 104537.
Cho, E., & Rha, J. Y. (2026). Does consumer autonomy matter? Consumer perceptions of AI-driven recommendations and the mediating role of consumer autonomy in consumer satisfaction. International Journal of Human–Computer Interaction, 42(12), 10949-10971.
Choung, H., David, P., & Ross, A. (2023). Trust in AI and its role in the acceptance of AI technologies. International Journal of Human–Computer Interaction, 39(9), 1727–1739.
Creswell, J. W., & Creswell, J. D. (2023). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (6th ed.). SAGE Publications.
Deci, E. L., & Ryan, R. M. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective. Contemporary Educational Psychology, 61, 101860.
Dixon, M. F., Halperin, I., & Bilokon, P. (2020). Machine Learning in Finance: From Theory to Practice. Springer.
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.
Fan, Y., & Liu, X. (2022). Exploring the role of AI algorithmic agents: The impact of algorithmic decision autonomy on consumer purchase decisions. Frontiers in Psychology, 13, 1009173.
Fink, L., Newman, L., & Haran, U. (2024). Let me decide: Increasing user autonomy increases recommendation acceptance. Computers in Human Behavior, 156, 108244.
George, B., & Paul, J. (2020). Digital Transformation in Business and Society: Theory and Cases. Palgrave Macmillan.
Gillespie, N., Lockey, S., Ward, T., Macdade, A., & Hassed, G. (2025). Trust, attitudes and use of artificial intelligence: A global study 2025. The University of Melbourne and KPMG. DOI: 10.26188/28822919.
Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14(2), 627–660.
Guerra-Tamez, C. R., Flores, K. K., Serna-Mendiburu, G. M., Robles, D. C., & Ibarra-Cortés, J. (2024). Decoding Gen Z: AI’s influence on brand trust and purchasing behavior. Frontiers in Artificial Intelligence, 7, 1323512.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). SAGE Publications.
Ho, N. T. T., & Le, H. V. (2026). Empowered by AI: Exploring the link between literacy, self-efficacy, and career expectations. Acta Psychologica, 264, 106408.
Husairi, M. A., & Rossi, P. (2024). Delegation of purchasing tasks to AI: The role of perceived choice and decisionautonomy. Decision Support Systems, 179, 114166.
Jussupow, E., Benbasat, I., & Heinzl, A. (2020). Why are we averse towards algorithms? A comprehensive literature review on algorithm aversion. In Proceedings of the 28th European Conference on Information Systems (ECIS 2020). https://aisel.aisnet.org/ecis2020_rp/168
Klingbeil, A., Grützner, C., & Schreck, P. (2024). Trust and reliance on AI—An experimental study on the extent and costs of overreliance on AI. Computers in Human Behavior, 160, 108352.
Koch, M. J., Carolus, A., Wienrich, C., & Latoschik, M. E. (2024). Meta AI literacy scale: Further validation and development of a short version. Heliyon, 10(21), 1-12.
Kumar, P., Pillai, R., Kumar, N., & Tabash, M. I. (2023). The interplay of skills, digital financial literacy, capability, and autonomy in financial decision making and well-being. Borsa Istanbul Review, 23(1), 169–183.
Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. Proceedings of the CHI Conference on Human Factors in Computing Systems, 1–16.
Lu, W. (2024). Inevitable challenges of autonomy: Ethical concerns in personalized algorithmic decision-making. Humanities and Social Sciences Communications, 11, 1321.
Nam, C. S., & Lyons, J. B. (2020). Trust in Human-Robot Interaction. Academic Press.
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041.
Ryan, R. M., & Deci, E. L. (2017). Self-Determination Theory: Basic Psychological Needs in Motivation, Development, and Wellness. Guilford Publications.
Shin, D. (2021). The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI. International Journal of Human-Computer Studies, 146, 102551.
Shneiderman, B. (2022). Human-Centered AI. Oxford University Press.
Tafesse, W., & Sandhu, M. (2026). Consumers’ decision confidence and decision satisfaction with generative AI chatbots: The role of initial trust and perceived information quality. Cogent Business & Management, 13(1), 2667448.
Yilmaz, O., & Sen, S. (2023). The role of digital and AI literacy in e-commerce purchasing behavior. Electronic Commerce Research, 23(1), 189-214.
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