ORIGINAL RESEARCH article
Front. Big Data
Sec. Data Science
Volume 8 - 2025 | doi: 10.3389/fdata.2025.1596615
Conceptualization and Scale Development for Big Data-Based Learning Organization Capability
Provisionally accepted
- Akdeniz University, Antalya, Türkiye
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In today's competitive business landscape, organizations must enhance learning and adaptability to gain a strategic edge. Big data significantly influences organizational learning, yet a comprehensive tool to measure this capability has been absent in the literature. This study developed the Big Data-Based Learning Organization Capability (BD-LOC) scale to fill this gap. A two-phase research design was applied: Exploratory Factor Analysis (EFA) with data from 232 managers identified 22 items across three factors, while Confirmatory Factor Analysis (CFA) on an independent sample (n = 128) validated the scale alignment with the theoretical model.The BD-LOC scale provides organizations undergoing digital transformation with a crucial tool for strategic decision-making, fostering innovation, and enhancing operational efficiency. Filling a significant gap in the literature, this new scale enables organizations to assess their big data-driven learning capabilities, strengthening their informed decision-making processes and contributing to the effective implementation of digital transformation strategies.
Keywords: learning organizations, big data, Organizational capability, digital transformation, scale development
Received: 20 Mar 2025; Accepted: 02 Jun 2025.
Copyright: © 2025 Alkan, Yilmaz and Alkan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Nesrin Alkan, Akdeniz University, Antalya, Türkiye
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.