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The influencing mechanism of big data analytics technology capability on enterprise's operational performance: The mediating role of data-tool fit

With the development of network technology, enterprises face the explosive growth of data every day. Therefore, to fully mine the value of massive data, big data analysis (BDA) technology has become the key to developing the core competitiveness of enterprises. However, few empirical studies have in...

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Autores principales: Huang, Xiangmeng, Yang, Shuai, Wang, Junbin, Lin, Fengli, Jiang, Yunfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540540/
https://www.ncbi.nlm.nih.gov/pubmed/36211908
http://dx.doi.org/10.3389/fpsyg.2022.948764
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author Huang, Xiangmeng
Yang, Shuai
Wang, Junbin
Lin, Fengli
Jiang, Yunfei
author_facet Huang, Xiangmeng
Yang, Shuai
Wang, Junbin
Lin, Fengli
Jiang, Yunfei
author_sort Huang, Xiangmeng
collection PubMed
description With the development of network technology, enterprises face the explosive growth of data every day. Therefore, to fully mine the value of massive data, big data analysis (BDA) technology has become the key to developing the core competitiveness of enterprises. However, few empirical studies have investigated the influencing mechanism of the BDA capability of an enterprise on its operational performance. To fill this gap, this study explores how BDA technology capability influences enterprise operation performance, based on dynamic capabilities theory and resource-based theory. It proposes the key variables, including the connectivity, compatibility, and modularization of big data analysis technical capability, enterprise's operational performance, and the fit between data and tools, to establish a model and study the correlation between the variables. The results highlight the mediating role of data-tool fit in the relationships between BDA capability and the enterprise's operational performance, which is a major finding that has not been underlined in the extant literature. This study provides valuable insight for operational managers to help them in mobilizing BDA capability for enterprises' operational management and improving operational performance.
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spelling pubmed-95405402022-10-08 The influencing mechanism of big data analytics technology capability on enterprise's operational performance: The mediating role of data-tool fit Huang, Xiangmeng Yang, Shuai Wang, Junbin Lin, Fengli Jiang, Yunfei Front Psychol Psychology With the development of network technology, enterprises face the explosive growth of data every day. Therefore, to fully mine the value of massive data, big data analysis (BDA) technology has become the key to developing the core competitiveness of enterprises. However, few empirical studies have investigated the influencing mechanism of the BDA capability of an enterprise on its operational performance. To fill this gap, this study explores how BDA technology capability influences enterprise operation performance, based on dynamic capabilities theory and resource-based theory. It proposes the key variables, including the connectivity, compatibility, and modularization of big data analysis technical capability, enterprise's operational performance, and the fit between data and tools, to establish a model and study the correlation between the variables. The results highlight the mediating role of data-tool fit in the relationships between BDA capability and the enterprise's operational performance, which is a major finding that has not been underlined in the extant literature. This study provides valuable insight for operational managers to help them in mobilizing BDA capability for enterprises' operational management and improving operational performance. Frontiers Media S.A. 2022-09-23 /pmc/articles/PMC9540540/ /pubmed/36211908 http://dx.doi.org/10.3389/fpsyg.2022.948764 Text en Copyright © 2022 Huang, Yang, Wang, Lin and Jiang. https://creativecommons.org/licenses/by/4.0/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) and the copyright owner(s) 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.
spellingShingle Psychology
Huang, Xiangmeng
Yang, Shuai
Wang, Junbin
Lin, Fengli
Jiang, Yunfei
The influencing mechanism of big data analytics technology capability on enterprise's operational performance: The mediating role of data-tool fit
title The influencing mechanism of big data analytics technology capability on enterprise's operational performance: The mediating role of data-tool fit
title_full The influencing mechanism of big data analytics technology capability on enterprise's operational performance: The mediating role of data-tool fit
title_fullStr The influencing mechanism of big data analytics technology capability on enterprise's operational performance: The mediating role of data-tool fit
title_full_unstemmed The influencing mechanism of big data analytics technology capability on enterprise's operational performance: The mediating role of data-tool fit
title_short The influencing mechanism of big data analytics technology capability on enterprise's operational performance: The mediating role of data-tool fit
title_sort influencing mechanism of big data analytics technology capability on enterprise's operational performance: the mediating role of data-tool fit
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540540/
https://www.ncbi.nlm.nih.gov/pubmed/36211908
http://dx.doi.org/10.3389/fpsyg.2022.948764
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