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Open Access

Attribute of Big Data Analytics Quality Affecting Business Performance

College of Business Administration, Sejong University, Seoul 05006, Republic of Korea
Department of Digital Business Administration, Namseoul University, Cheonan 31020, Republic of Korea
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Abstract

With an accelerating increase of business benefits produced from big data analytics (if used appropriately and intelligently by businesses in the private and public sectors), this study focused on empirically identifying the big data analytics (BDA) attributes. These attributes were classified into four groups (i.e., value innovation, social impact, precision, and completeness of BDA quality) and were found to influence the decision-making performance and business performance outcomes. A structural equation modeling analysis using 382 responses from a BDA related to practitioners indicated that the attributes of representativeness, predictability, interpretability, and innovativeness as related to value innovation greatly enhanced the decision-making confidence and effectiveness of decision makers who make decisions using big data. In addition, individuality, collectivity, and willfulness, which are related to social impact, also greatly improved the decision-making confidence and effectiveness of the same decision makers. This shows that the value innovation and social impact, which have received relatively less attention in previous studies, are the crucial attributes for BDA quality as they influence the decision-making performance. Comprehensiveness, factuality, and realism, which are linked to completeness, also have similar results. Furthermore, the higher the decision-making confidence of the decision makers who used big data was, the higher the financial performance of their companies. In addition, high decision-making confidence using big data was found to improve the nonfinancial performance metrics such as customer satisfaction and quality levels as well as product development capabilities. High decision-making effectiveness with big data was also shown to improve the nonfinancial performance metrics.

Keywords

big data analytics (BDA)attribute of BDA qualitydecision-making confidencedecision-making effectivenessfinancial business performancenonfinancial business performance

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Journal of Social Computing
Volume 4 Issue 4,
December 2023
Pages 357-381
DOI: 10.23919/JSC.2023.0028
Cite this article:
Lee S, Kim BG. Attribute of Big Data Analytics Quality Affecting Business Performance. Journal of Social Computing, 2023, 4(4): 357-381. https://doi.org/10.23919/JSC.2023.0028

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Received: 17 September 2023
Revised: 14 December 2023
Accepted: 20 December 2023
Published: 31 December 2023
© The author(s) 2023.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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