A research typology of big data technology

Abstract

Big Data has become increasingly critical not only in industrial sectors but also in academic fields. However, many researches have mainly focused on the technical aspects of Big Data analysis, while there are few, if any, studies that take a holistic view of how further research should be conducted. This study provide a research typology of Big Data technology. In order to summarize the recent research area covered by Big Data analytics, we collated papers from high-ranking journals. A total of 232 sourced articles from IS journals and computer science journals were reviewed and classified into several categories such as research methodology type, Gregor theory type, and Big Data domain. We have taken various analyses such as trend analysis, classification model analysis, crossover analysis, keyword analysis, and word cloud analysis. The review of the literature reveals that it need to be more effort on data scientist, data collection and storage technology, organization decision making, and ethical issue. According to our research results, we identified key findings to discuss further. We suggest a more specific and multidisciplinary research agenda. Based on this study, more extended and detailed discussions are anticipated.