Do Decision-Modeling Capabilities Drive Agility and Quality? Validating a Business Logic Governance Index (BLGI)
Jiomarie Jesus | Lucio Pulmones | Jeff Salimbangon | Gian Carlo S Cataraja | Marivic Pogado | Rasty Demecillo
Discipline: business studies
Abstract:
Organizations undergoing digital transformation increasingly rely on structured decision models and robust
governance of business logic to sustain agility, quality, and compliance. This study introduced and validated the
Business Logic Governance Index (BLGI)—a multidimensional construct encompassing declarative logic,
normalization, integrity, and technology independence—to address the lack of an empirical measure of governance
quality. Using survey and archival data from 250 professionals in shared services centers and IT-intensive
organizations, structural equation modeling revealed that stronger business logic governance significantly improved
organizational agility, reduced decision defects, and enhanced requirements and testing quality. Mediation and
moderation analyses further demonstrated that representational clarity, structural discipline, and technology
independence strengthened the pathways through which governance influenced performance. The findings advanced
governance and decision-modeling theory by offering a validated index that captured how logic structures shaped
organizational outcomes. In practice, the BLGI provided managers with a diagnostic tool for benchmarking and
improving decision-making environments. Future research was recommended to extend the index across industries
and to explore its implications for digital governance and policy development in emerging economies.
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