From spreadsheets to resolve: Understanding data-driven decision-making among organizational leaders
Date of Publication
4-8-2025
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Arts in Behavioral Sciences major in Organizational and Social Systems Development
Subject Categories
Leadership | Social and Behavioral Sciences
College
College of Liberal Arts
Department/Unit
Behavioral Sciences
Thesis Advisor
Zaldy C. Collado
Defense Panel Chair
Rodmar John Neo Eda
Defense Panel Member
Alicia B. Manlagnit
Abstract/Summary
While data-driven decision-making (DDDM) is crucial in global organizational literature, its implementation in Philippine organizations faces challenges like data misinterpretation, resistance to change, and limited analytic capabilities. The study investigates if there are or are no significant relationships between data infrastructure in the organization, personal analytic capacity, and data-driven decision-making culture (DDDM-C) (organizational) with data-driven decision-making (DDDM) (personal) and its correlation with organizational productivity among organizational leaders working in Metro Manila within the ages of 23 to 55 years old. This study involved 104 organizational leaders selected through purposive, snowball, crowdsourcing, and voluntary-response sampling. Using a quantitative research design, findings among the three predictors reveal acceptable significance levels with DDDM except “data infrastructure in the organization.” Moreover, the results indicate a significant yet weak correlation between the level of DDDM and organizational productivity. With this, successful DDDM goes beyond data collection—it requires a mindset where data is a "trusted guide." Philippine organizations must invest in data infrastructure, leadership training, and data literacy to foster analytical thinking and enhance productivity.
Keywords: Data-driven decision-making, Data Infrastructure, Personal Analytic Capacity, Data-driven decision-making culture, Organizational Productivity, Organizational leaders, Leadership behavior, Data-driven leadership strategies
Abstract Format
html
Language
English
Format
Electronic
Keywords
Leadership; Organizational effectiveness
Recommended Citation
Oliveros, A. P., Dipasupil, J. B., & Bulotano, R. E. (2025). From spreadsheets to resolve: Understanding data-driven decision-making among organizational leaders. Retrieved from https://animorepository.dlsu.edu.ph/etdb_behsc/5
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Embargo Period
4-14-2025
