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The Relationships between Capabilities and Values of Big Data Analytics

Authors:

Byeonghwa Park,

Mijin Noh,

Choong Kwon LeeAuthors Info & Claims

SMA 2020: The 9th International Conference on Smart Media and Applications

Pages 132 - 134

https://doi.org/10.1145/3426020.3426052

Published: 04 November 2021 Publication History

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Abstract

This study aims to investigate the effect of big data analytics capability on big data values and business performance from the organizations performing big data analytics, which is one of the leading technologies in the fourth industrial revolution. For this study, the values of big data include transactional, strategic, transformational, and informational values. We conducted a survey and analyzed data from 200 professionals in organizations who had the experience of performing big data analytics. Structural equation modeling is used to test the research hypotheses. The results suggest that big data analytics capability has positive relationships with values of big data analytics and business performance. Of the values of big data analytics, however, the informational value of big data does not affect business performance. The results of this research are expected to provide researchers and practitioners who are interested in big data with useful information.

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Rengifo L. R(2024)Capacidades de análisis de big data en las empresas: una revisión sistemática de la literaturaEconomía & Negocios10.33326/27086062.2024.1.19466:1(195-222)Online publication date: 24-Apr-2024
https://doi.org/10.33326/27086062.2024.1.1946
Oesterreich TAnton ETeuteberg FDwivedi Y(2022)The role of the social and technical factors in creating business value from big data analytics: A meta-analysisJournal of Business Research10.1016/j.jbusres.2022.08.028153(128-149)Online publication date: Dec-2022
https://doi.org/10.1016/j.jbusres.2022.08.028
Oesterreich TAnton ETeuteberg F(2022)What translates big data into business value? A meta-analysis of the impacts of business analytics on firm performanceInformation and Management10.1016/j.im.2022.10368559:6Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1016/j.im.2022.103685

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SMA 2020: The 9th International Conference on Smart Media and Applications

September 2020

491 pages

ISBN:9781450389259

DOI:10.1145/3426020

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 November 2021

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SMA 2020: The 9th International Conference on Smart Media and Applications

September 17 - 19, 2020

Jeju, Republic of Korea

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Rengifo L. R(2024)Capacidades de análisis de big data en las empresas: una revisión sistemática de la literaturaEconomía & Negocios10.33326/27086062.2024.1.19466:1(195-222)Online publication date: 24-Apr-2024
https://doi.org/10.33326/27086062.2024.1.1946
Oesterreich TAnton ETeuteberg FDwivedi Y(2022)The role of the social and technical factors in creating business value from big data analytics: A meta-analysisJournal of Business Research10.1016/j.jbusres.2022.08.028153(128-149)Online publication date: Dec-2022
https://doi.org/10.1016/j.jbusres.2022.08.028
Oesterreich TAnton ETeuteberg F(2022)What translates big data into business value? A meta-analysis of the impacts of business analytics on firm performanceInformation and Management10.1016/j.im.2022.10368559:6Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1016/j.im.2022.103685

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Responsible Big Data Analytics for E-Business Services

Big Data Analytics

Multimedia Big Data Analytics: A Survey

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