Understanding the Factors Affecting the Organizational Adoption of Big Data

被引:165
|
作者
Sun, Shiwei [1 ]
Cegielski, Casey G. [1 ]
Jia, Lin [2 ]
Hall, Dianne J. [1 ]
机构
[1] Auburn Univ, Auburn, AL 36849 USA
[2] Beijing Inst Technol, Beijing, Peoples R China
关键词
Big data adoption; organization factors; technology factors; environment factors; content analysis; E-BUSINESS; INFORMATION-TECHNOLOGY; E-COMMERCE; COMPETITIVE ADVANTAGE; DATA-MANAGEMENT; DATA SCIENCE; DETERMINANTS; ANALYTICS; SYSTEMS; DECISION;
D O I
10.1080/08874417.2016.1222891
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
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页码:193 / 203
页数:11
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