Effect of Success Probability on Binary Decision Outcomes in Intelligent Systems: A Binomial Distribution Analysis

Authors

  • Christian Anthony Flores La Consolacion University Philippines image/svg+xml Author

    DOI:

    https://doi.org/10.70715/jitcai.2026.v3.i3.066

    Keywords:

    Binary decision outcomes, intelligent systems, binomial distribution, success probability, financial and accounting decision-making, banking and financial institutions

    Abstract

    Binary decision-making is central to finance and accounting functions in banks and financial institutions, where outcomes such as approval or rejection and allocation or non-allocation are executed under uncertainty. As intelligent systems increasingly support these decisions, understanding how success probability influences binary outcomes becomes critical. This study examines the effect of success probability on binary decision outcomes in intelligent systems using a binomial distribution framework.

     

    A quantitative, explanatory research design was employed, with data collected from n = 312 finance and accounting decision-makers, including Chief Finance Officers, Accounting Managers, Department Heads, Accountants, Bookkeepers, and Treasury officers in Philippine banks and financial institutions. Logistic regression and binomial modeling were used to analyze the relationship between success probability and binary decisions.

     

    Results show that success probability has a statistically significant positive effect on binary decision outcomes (β = 1.872, p < 0.001), indicating that higher probability levels substantially increase the likelihood of affirmative decisions. Decision consistency increased from 61.3% at low probability levels to 89.6% at high probability levels, while alignment with intelligent system recommendations rose from 58.7% to 92.4%. Mediation analysis revealed that decision threshold sensitivity partially mediates this relationship, with a reduced direct effect (β = 1.204, p < 0.01). Additionally, perceived success probability significantly predicts reliance on intelligent systems (β = 1.546, p < 0.001).

     

    These findings provide empirical evidence of the magnitude and significance of probability-driven decision behavior, contributing to the application of binomial distribution in intelligent system–assisted financial decision-making and informing the design and governance of decision-support systems in financial institutions.

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    Author Biography

    • Christian Anthony Flores, La Consolacion University Philippines

      Dr. Christian Anthony R. Flores is a seasoned business strategist, academic scholar, and licensed professional with over a decade of integrated leadership experience bridging corporate practice and higher education. He holds a Doctorate in Business Administration (DBA), a Master’s degree in Business Administration (MBA), and a Bachelor’s degree in Accountancy (BSA), with a professional trajectory spanning B2B2C and B2C sales, strategic marketing, account management, corporate training, people development, and enterprise operations across both retail and institutional sectors.

      Licensed by the Philippine Professional Regulation Commission (PRC), Dr. Flores upholds nationally recognized standards of ethical and professional competency. He is an Associate Member of the National Research Council of the Philippines (NRCP) under the Department of Science and Technology (DOST), placing him within a government-recognized pool of researchers and subject-matter experts contributing scholarly and policy-relevant knowledge aligned with national development priorities.

      In academia, Dr. Flores serves as a professor and mentor, translating complex theories into actionable, real-world insights for aspiring professionals. His pedagogical approach is shaped by international training, foreign studies, and intercultural experiences, grounding his instruction in a global perspective and equipping learners to navigate the demands of an evolving business and education landscape.

      As a published author and researcher, Dr. Flores has contributed to internationally peer-reviewed scholarly journals, with research outputs indexed in Harvard University Library, Google Scholar, and other global academic repositories. He also serves as an editorial board member and peer reviewer of respected and internationally recognized academic journals and scholarly publications, actively supporting research quality, ethical standards, and academic rigor, alongside authorship of corporate leadership books and professional publications.

      Beyond academia, Dr. Flores is a registered Author, Writer, Editor, and Subject Matter Expert with the National Book Development Board (NBDB) of the Philippines. His core expertise includes strategic planning, sales acceleration, marketing optimization, organizational development, governance, and research-driven innovation. Whether leading corporate initiatives, contributing to national research ecosystems, or shaping the next generation of leaders, Dr. Christian Anthony R. Flores remains committed to professional excellence, national relevance, and sustained impact.

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    Published

    05/31/2026

    Issue

    Vol. 3 No. 3 (2026): Advances, Innovations, and Emerging Research in Information Technology, Cybersecurity, and Artificial Intelligence

    Section

    Articles

    License

    Copyright (c) 2026 Christian Anthony Flores (Author)

    Creative Commons License

    This work is licensed under a Creative Commons Attribution 4.0 International License.

    How to Cite

    [1]
    C. A. Flores, “Effect of Success Probability on Binary Decision Outcomes in Intelligent Systems: A Binomial Distribution Analysis”, Journal of IT, Cybersecurity, & AI, vol. 3, no. 3, pp. 1–15, May 2026, doi: 10.70715/jitcai.2026.v3.i3.066.

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