Description
This article analyzes 119 Digital Divide (DD) papers published in 60 journals between the years of 2000 and 2016. It classifies DD research into 16 types, and found that global DD has been was studied the most. It also categorized the research papers into 36 topics, and found that Computer/Internet/ICT adoption and usage was the most investigated topic. Other results were: secondary data was the most used methodology, positivist approach was the most prevalent, and the U.S. was the most studied country. Additionally, our research summarized and classified the antecedents and dependent variables of DD into nine categories, and proposed a comprehensive framework. Future research and limitations are discussed.
Recommended Citation
Palvia, Prashant C.; Oguz, Abdullah; Huang, Ziyue; Yarmohammadi, Zahra; and Li, Xiaoyu, "Digital Divide in Information Systems Research: A Meta-Analysis and Framework" (2017). AMCIS 2017 Proceedings. 3.
https://aisel.aisnet.org/amcis2017/Global/Presentations/3
Digital Divide in Information Systems Research: A Meta-Analysis and Framework
This article analyzes 119 Digital Divide (DD) papers published in 60 journals between the years of 2000 and 2016. It classifies DD research into 16 types, and found that global DD has been was studied the most. It also categorized the research papers into 36 topics, and found that Computer/Internet/ICT adoption and usage was the most investigated topic. Other results were: secondary data was the most used methodology, positivist approach was the most prevalent, and the U.S. was the most studied country. Additionally, our research summarized and classified the antecedents and dependent variables of DD into nine categories, and proposed a comprehensive framework. Future research and limitations are discussed.