Understanding the Factors Affecting the Organizational Adoption of Big Data

Shiwei Sun; Casey G. Cegielski; Lin Jia; Dianne J. Hall

doi:10.1080/08874417.2016.1222891

Understanding the Factors Affecting the Organizational Adoption of Big Data

Shiwei Sun^*, Casey G. Cegielski, Lin Jia, Dianne J. Hall

^*Corresponding author for this work

Auburn University

Research output: Contribution to journal › Review article › peer-review

233 Citations (Scopus)

Abstract

Big data is rapidly becoming a major driver for firms seeking to gain a competitive advantage. Grounded in the Diffusion of Innovation theory (DOI), the institutional theory, and the Tech-nology–Organization–Environment (TOE) framework, this study applies the results of a content analysis to develop a framework to identify the main factors affecting the organizational adoption of big data. The content analysis is based on the retrieval and review of relevant papers in the business intelligence & analytics (BI&A) literature published during the period 2009–2015. The 26 factors identified by this review are then integrated into a TOE framework. The findings of this research enrich the current big data literature and enhance practitioners’ understanding of the decision-making processes involved in a firm’s adoption of big data.

Original language	English
Pages (from-to)	193-203
Number of pages	11
Journal	Journal of Computer Information Systems
Volume	58
Issue number	3
DOIs	https://doi.org/10.1080/08874417.2016.1222891
Publication status	Published - 3 Jul 2018

Keywords

Big data adoption
content analysis
environment factors
organization factors
technology factors

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10.1080/08874417.2016.1222891

Cite this

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title = "Understanding the Factors Affecting the Organizational Adoption of Big Data",

abstract = "Big data is rapidly becoming a major driver for firms seeking to gain a competitive advantage. Grounded in the Diffusion of Innovation theory (DOI), the institutional theory, and the Tech-nology–Organization–Environment (TOE) framework, this study applies the results of a content analysis to develop a framework to identify the main factors affecting the organizational adoption of big data. The content analysis is based on the retrieval and review of relevant papers in the business intelligence & analytics (BI&A) literature published during the period 2009–2015. The 26 factors identified by this review are then integrated into a TOE framework. The findings of this research enrich the current big data literature and enhance practitioners{\textquoteright} understanding of the decision-making processes involved in a firm{\textquoteright}s adoption of big data.",

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Understanding the Factors Affecting the Organizational Adoption of Big Data

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Keywords

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