Assessing the Activeness of Online Economic Activity of Taiwan’s Internet Users: An Application of the Super-Efficiency Data Envelopment Analysis Model

被引:0
作者
Chih-Cheng Chen
机构
[1] Yuan Ze University,Graduate Program of Social Informatics and Innovation Center for Big Data and Digital Convergence
来源
Social Indicators Research | 2015年 / 122卷
关键词
Digital divide; Online economic activity; Super-efficiency; Data envelopment analysis (DEA);
D O I
暂无
中图分类号
学科分类号
摘要
Discussions on the second-level digital divide focus on the skills of Internet users as well as their online activity. Thus, this study applies a super-efficiency data envelopment analysis (DEA) framework to investigate Internet users’ activeness of users’ online economic activity at an individual level. Here, we consider users’ access to information and communication technologies (ICT), their Internet literacy, and their level of usage. In addition, the framework offers a basis for measuring and comparing ICT users. First, we construct a super-efficiency DEA model, which we use to create an index measuring the extent of users’ online economic activity. Second, we apply an OLS regression to explore the factors that influence such activity. Our results can be used to analyze the issues surrounding the second-level digital divide in terms of Internet users’ online economic activities. Our regression results indicate that those Internet users who are female, more educated, employed, earn a higher monthly income, and live in eastern Taiwan demonstrate greater online economic activity than other users. Finally, the positive significance of the difference between using broadband and 3G to access the Internet emphasizes the importance of Internet connection speed to such activities.
引用
收藏
页码:433 / 451
页数:18
相关论文
共 68 条
  • [1] Andersen P(1993)A procedure for ranking efficient units in data envelopment analysis Management Science 39 1261-1265
  • [2] Petersen NC(1984)Some models for estimating technical and scale inefficiencies in data envelopment analysis Management Science 30 1078-1092
  • [3] Banker RD(2007)Segmenting cyberspace: A customer typology for the Internet European Journal of Marketing 41 71-93
  • [4] Charnes A(2010)Towards a unified media-user typology (MUT): A meta-analysis and review of the research literature on media-user typologies Computers in Human Behavior 26 940-956
  • [5] Cooper WW(2010)Towards a unified media-user typology (MUT): A meta-analysis and review of the research literature on media-user typologies Computers in Human Behavior 26 940-956
  • [6] Barnes SJ(2010)Bridging and bonding in social network sites—investigating family-based capital International Journal of Web Based Communities 6 231-353
  • [7] Bauer HH(2011)Understanding the new digital divide-A typology of Internet users in Europe International Journal of Human Computer Studies 69 123-138
  • [8] Neumann MM(1962)Programming with linear fractional functionals Naval Research Logistics Quarterly 9 181-186
  • [9] Huber F(1978)Measuring the efficiency of decision making units European Journal of Operational Research 2 429-444
  • [10] Brandtzæg PB(2011)Data envelopment analysis: History, models, and interpretations Handbook on Data Envelopment Analysis International Series in Operations Research & Management Science, US: Springer 164 1-39