Multivariate methods for survey evaluation: A case study of Big Data and the New Digital Divide
Jana Cibulková, Richard Novák, Zdeněk Šulc
Available Online October 2019.
- https://doi.org/10.2991/amse-19.2019.7How to use a DOI?
- multivariate methods, cluster analysis, factor analysis, survey, Big Data, New Digital Divide
- The paper evaluates the results of a survey regarding challenges connected to the Big Data phenomenon and the New Digital Divide. Following the authors’ previous research, these challenges consist of issues such as business advantage, privacy intrusion, or big brother effect. Perception of these challenges by respondents (IT students and IT professionals) is studied in the paper, and multivariate methods are applied to the survey data to obtain a deeper insight and to discover hidden patterns in the data. The goal of the study is to identify groups of challenges based on respondents’ judgment. For this purpose, cluster analysis and factor analysis are used. Results obtained using these methods are compared and evaluated.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jana Cibulková AU - Richard Novák AU - Zdeněk Šulc PY - 2019/10 DA - 2019/10 TI - Multivariate methods for survey evaluation: A case study of Big Data and the New Digital Divide BT - 22nd International Scientific Conference on Applications of Mathematics and Statistics in Economics (AMSE 2019) PB - Atlantis Press UR - https://doi.org/10.2991/amse-19.2019.7 DO - https://doi.org/10.2991/amse-19.2019.7 ID - Cibulková2019/10 ER -