Aug 2026· INTERNATIONAL JOURNAL OF SOCIAL SCIENCES AND MANAGEMENT RESEARCH· 0 citations
TL;DR
Analysis reveals that effective data discovery is characterized by four fundamental dimensions: technical infrastructure adequacy, analytical capability maturity, organizational information culture, and governance framework sophistication, which suggests that organizations exhibiting high performance across these dimensions demonstrate superior decision quality, efficiency, and adaptability in volatile environments.
Abstract
The proliferation of data in contemporary organizational environments has precipitated
unprecedented challenges and opportunities for decision-making processes. This paper examines
the multidimensional construct of data discovery as a critical antecedent to effective decision
making and, by extension, organizational performance. Through a comprehensive theoretical
framework, the study interrogates the mechanisms through which data discovery capabilities
mediate the relationship between information availability and organizational outcomes.
Employing a systematic review methodology, this research synthesizes findings from multiple
disciplines including information systems, organizational behavior, strategic management, and
data science to develop an integrated understanding of data discovery processes. The analysis
reveals that effective data discovery is characterized by four fundamental dimensions: technical
infrastructure adequacy, analytical capability maturity, organizational information culture, and
governance framework sophistication. These dimensions interact synergistically to determine an
organization's capacity to transform data into actionable insights that drive strategic, tactical, and
operational decisions. The empirical evidence further suggests that organizations exhibiting high
performance across these dimensions demonstrate superior decision quality, efficiency, and
adaptability in volatile environments. The paper extends existing theoretical perspectives by
introducing a process-oriented maturity model for data discovery capabilities, which delineates
the developmental trajectory organizations typically navigate in cultivating sophisticated data
utilization strategies.
The proposed framework provides a foundation for empirical validation and offers managers a structured basis for assessing and developing strategic decision capability, including effective Human – AI collaboration, organizational adaptability, and resilience.
The proposed framework provides a foundation for empirical validation and offers managers a structured basis for assessing and developing strategic decision capability, including effective Human–AI collaboration, organizational adaptability, and resilience.
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