Exploring Big Data Analytics Adoption using Affordance Theory

被引:2
|
作者
Bansal, Veena [1 ]
Shukla, Shubham [1 ]
机构
[1] Indian Inst Technol Kanpur, Kanpur 208016, Uttar Pradesh, India
关键词
Big Data Analytics Adoption; Affordance Theory; Adoption and Usage; Adoption Framework; FIRM PERFORMANCE; TECHNOLOGIES;
D O I
10.5220/0010509801310138
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This research explores big data analytics adoption in organisations using affordance theory. Big data analytics are a set of tools and techniques that help companies to get useful business insights from the data. Adoption of big data analytics is a challenging task. Affordance theory has been used to study usage and effect of information technology. In this work, we have modified the affordance theory framework to study adoption of big data analytics. The framework takes into account characteristics of the technology, the goal and characteristics of the organisation. Organisation achieve different outcomes based on their goals and characteristics. We have used case study method to verify efficacy of the adopted framework. The results clearly show that the framework is effective in studying the adoption of big data analytics.
引用
收藏
页码:131 / 138
页数:8
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