Real-Time Data-Driven Decision-Making and Business Performance: The Mediating Role of Data Analytics Capability

Kasih  Purwantini; Eni Endaryati; Myra  Andriana

doi:10.51903/tk6rt739

Authors

Kasih Purwantini Universitas Sains dan Teknologi Komputer, Kota Semarang, Jawa Tengah, Indonesia https://orcid.org/0009-0004-6711-1992
Eni Endaryati Universitas Sains dan Teknologi Komputer, Kota Semarang, Jawa Tengah, Indonesia https://orcid.org/0009-0004-4484-3576
Myra Andriana Universitas Sains dan Teknologi Komputer, Kota Semarang, Jawa Tengah, Indonesia https://orcid.org/0009-0003-6457-0416

DOI:

https://doi.org/10.51903/tk6rt739

Keywords:

Business Performance, Data Analytics, Organizational Data Analytics Capability, PLS-SEM, Real-Time Data-Driven Decision-Making

Abstract

The rapid growth of digital technologies and business data has encouraged organizations to use Real-Time Data-Driven Decision-Making (RT-DDDM) to support timely and informed decisions. This study develops and tests a simulation-based model examining the relationship between RT-DDDM, Organizational Data Analytics Capability (ODAC), and Business Performance. A quantitative PLS-SEM approach was implemented in SmartPLS using 180 simulated observations. The observations were generated for methodological practice rather than collected from actual organizational respondents. The simulation used predetermined five-point Likert response categories and an intentionally specified positive association structure among the latent constructs. Therefore, the resulting path coefficients, R², Q², validity statistics, and mediation effect are outcomes of the simulation design rather than empirical estimates of organizational populations. The simulated model produced positive and statistically significant paths from RT-DDDM to Business Performance and ODAC, and from ODAC to Business Performance. ODAC also showed a significant indirect effect, while the direct RT-DDDM–Business Performance path remained significant. These results illustrate how a mediation model can be evaluated under stated simulation assumptions. The main contribution is methodological and conceptual: the study demonstrates a PLS-SEM mediation structure while distinguishing simulation-based model behavior from empirical organizational evidence

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