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Conceptualization and scale development for big data-based learning organization capability.

Nesrin Alkan1, Deniz Ersan Yilmaz1, Bilal Baris Alkan2

  • 1Faculty of Economics and Administrative Sciences, Akdeniz University, Antalya, Türkiye.

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Summary

This study introduces the Big Data-based Learning Organization Capability (BD-LOC) scale, a new tool for measuring how well organizations learn from big data. The validated scale offers a reliable way to assess and improve learning capabilities for strategic advantage.

Keywords:
big datadigital transformationlearning organizationsorganizational capabilityscale development

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Area of Science:

  • Organizational Learning
  • Big Data Analytics
  • Management Science

Background:

  • Organizations need enhanced learning and adaptability for a competitive edge.
  • A lack of validated tools to measure big data-driven learning capability exists.
  • Big data significantly impacts organizational learning processes.

Purpose of the Study:

  • To develop and validate a reliable scale for assessing big data-based learning organization capability.
  • To provide a quantitative measure for big data-driven learning.
  • To address the gap in the literature regarding learning organization assessment in the context of big data.

Main Methods:

  • A two-phase research design was utilized.
  • Exploratory Factor Analysis (EFA) on 232 managers identified 22 items across three factors.
  • Confirmatory Factor Analysis (CFA) on 128 managers validated the scale's structure and psychometric properties.

Main Results:

  • EFA revealed a clear three-factor structure for the scale.
  • CFA confirmed the model's fit to the data, demonstrating good psychometric properties.
  • The final Big Data-based Learning Organization Capability (BD-LOC) scale exhibits high internal consistency and construct validity.

Conclusions:

  • The BD-LOC scale is a valid and reliable instrument for assessing organizational learning capabilities in the big data era.
  • This tool aids organizations in strategic decision-making, innovation, and operational efficiency.
  • The study contributes to the effective implementation of digital transformation strategies.