Behavioral Biases in Managerial Decision-Making: Implications for Cost Control and Budgeting
DOI:
https://doi.org/10.14419/j3qmyr52Keywords:
Behavioral Biases; Managerial Decision Making; Cost Control; Budgeting; Decision MakerAbstract
The term "decision" has been derived from the Latin word "decidere': to cut off. A decision is a settlement, a fixed resolve ending result, a judgment, and a resolution. Decision-making has been defined as the selection of a course of action out of alternatives; it is at the very core of planning. Managers sometimes consider decision-making their core job since they must constantly decide what is to be done, by whom, when, where, and sometimes even how it is to be done. Decision-making is a Human Mental Process. Rationality is injected through the human brain, which has the capacity of learning, think, and relate intricate facts and variables while deciding. Decision making is rational in the sense, the manager decides by choosing and judging the alternatives to attain desired goals by choosing the most desired one. Individuals acting or deciding rationally are trying to attain some goal that cannot be reached without action. In most cases, not all alternatives can be examined, even with the most advanced available techniques of analysis and computers. A decision is an option between numerous alternatives, and a decision maker is the person making such an option. Although decisions can be arrived at instantly, more often the process of identification, analysis, assessment, choice, and planning is the process in decision-making. Strategy, as a word, is associated with Military science. A policy u when a specific meaning is given under a dominating situation, and in consideration of the enemy or competition policy, becomes a strategy.
References
- Baker, H. K., & English, P. (2011). Decision-making using behavioral finance for capital budgeting. In H. K. Baker & P. English (Eds.), Capital budgeting valuation (pp. 421).
- Biondi, Y., &Marzo, G. (2011). Decision making using behavioral finance for capital budgeting. In H. K. Baker & P. English (Eds.), Capital budg-eting valuation: Financial analysis for today’s investment decisions. Wiley.
- Davidians, T. A., &Gelard, P. (2017). The effect of just-in-time delivery of products and services quality on customer satisfaction in Asia Insurance. International Academic Journal of Innovative Research, 4(2), 61–73.
- Gogo, G., GJONI, A., & Uka, R. (2025). The effects of education and knowledge on investing in cryptocurrencies in Albania. Quality-Access to Success, 26(4).
- Davydenko, N. M., Wasilewska, N. S., &Kliuchka, O. V. (2023). The influence of behavioral biases on financial managers’ decision making. Eco-nomics & Business Management, 4(1), 24-37.
- Jalali, Z., &Shaemi, A. (2015). The impact of nurses’ empowerment and decision-making on the care quality of patients in healthcare reform plan. International Academic Journal of Organizational Behavior and Human Resource Management, 2(1), 60–66.
- Langer, A. M. (2016). Controlling costs and realistic budgeting. In A. M. Langer, Guide to software development: Designing and managing the life cycle (pp. 81–97).
- Lawyer, C. O. (2014). Cost control and accountability for effective budget implementation. Research Journal of Finance and Accounting, 5(21), 199–202.
- Abdullah, D. (2025). Designing for her: Human-centered UX strategies in female-oriented HealthTech applications. Journal of Women, Innovation, and Technological Empowerment, 1(1), 7–11.
- Liu, D., Camp, L. J., Wang, X., & Wang, L. (2010). Using budget-based access control to manage operational risks caused by insiders. Journal of Wireless Mobile Networks, Ubiquitous Computing and Dependable Applications, 1(1), 29–45.
- Lotfy, B., &Vatankhah, H. (2014). Study of insurance in cyberspace and its infrastructure in Iran and other countries. International Academic Jour-nal of Science and Engineering, 1(1), 49–56.
- Meurs, T., Junger, M., Abhishta, A., Tews, E., &Ratia, E. (2022). Coordinate: A model to analyse the benefits and costs of coordinating cybercrime. Journal of Internet Services and Information Security, 12(4), 1–22. https://doi.org/10.58346/JISIS.2022.I4.001
- Nejad, H. Z., &Fard, K. D. (2019). Basic Pattern of Decision - Making of Sustainable Development in Education Policy (of the Ministry of Educa-tion). International Academic Journal of Social Sciences, 6(1), 166–177. https://doi.org/10.9756/IAJSS/V6I1/1910016
- Nobre, F. C., de Camargo Machado, M. J., &Nobre, L. H. N. (2022). Behavioral biases and the decision-making in entrepreneurs and managers. Revista de AdministraçãoContemporânea, 26(Suppl 1), e200369.
- Prasath, C. A. (2025). Comparative analysis of heat transfer enhancement in twisted tape inserts using nano-coated vs. traditional metal surfaces in turbulent flow regimes. Advances in Mechanical Engineering and Applications, 1(1), 23–31.
- Ramona, P., & Danica, G. (2023). Analysis, cost estimation and optimization of reinforced concrete slab strengthening by steel and CFRP strips. Archives for Technical Sciences, 2(29), 35–48. https://doi.org/10.59456/afts.2023.1529.035P
- Romanazzi, L. (2024). Exploring the influence of behavioral biases on project evaluation and cost management. Thesis.
- Sumithra, S., & Sakshi, S. (2024). Exploring the factors influencing usage behavior of the Digital Library Remote Access (DLRA) facility in a pri-vate higher education institution in India. Indian Journal of Information Sources and Services, 14(1), 78–84. https://doi.org/10.51983/ijiss-2024.14.1.4033
- Muralidharan, J. (2025). Integrative intervention of yoga and nutritional counseling for obesity management among college students: A holistic wellness approach. Journal of Yoga, Sports, and Health Sciences, 1(1), 17–23.
- Vishnuprasath, A., &Kumudha, P. (2016). Artery/vein classification in retinal images using graph-based modified local binary pattern. International Journal of Advances in Engineering and Emerging Technology, 7(1), 200–208.
- Zahera, S. A., & Bansal, R. (2018). Do investors exhibit behavioral biases in investment decision making? A systematic review. Qualitative Re-search in Financial Markets, 10(2), 210–251.
- Prasath, C. A. (2025). Digital Twin-Driven Predictive Maintenance in Intelligent Power Systems. National Journal of Intelligent Power Systems and Technology, 1(1), 29-37.
- Rahim, R. (2024). Integrating digital twin and life cycle assessment for sustainable roadway material selection: A data-driven framework. Journal of Smart Infrastructure and Environmental Sustainability, 1(1), 23–30.
- Sadulla, S. (2025). Next-Generation Perovskite Solar Cells: Stability Challenges and Scalable Manufacturing. National Journal of Renewable Ener-gy Systems and Innovation, 47-60.
- Muralidharan. J. (2025).Condition Monitoring of Electric Drives Using Deep Learning and Vibration Signal Analysis. National Journal of Electric Drives and Control Systems, 23-31.
- Poornimadarshini, S. (2025). Topology Optimization of Brushless DC Machines for Low-Noise and High-Torque Applications. National Journal of Electrical Machines & Power Conversion, 45-51.
- Barhoumia, E. M., & Khan, Z. (2025). Neurocognitive mechanisms of adaptive decision-making: An fMRI-based investigation of prefrontal cortex dynamics in uncertain environments. Advances in Cognitive and Neural Studies, 1(1), 20–27.
- Karthika, J. (2025). Power Converter Design for Next-Generation Wind Energy Systems Using GAN Devices. Transactions on Power Electronics and Renewable Energy Systems, 1-12.
- Sindhu, S. (2025). Comparative Analysis of Battery-Supercapacitor Hybrids for Fast EV Charging Infrastructure. Transactions on Energy Storage Systems and Innovation, 1(1), 26-33.
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Received date: May 28, 2025
Accepted date: June 7, 2025
Published date: August 28, 2025