The WWW User Survey in Taiwan

碩士 === 國立交通大學 === 傳播研究所 === 84 ===   This paper describes the demographics, the behavior and the motivation of the WWW users.Furthermore, the questionnaire is designed to compare between the innovators and the early-adopters. Finally, we tried to test whether WWW can be an adaptive surveying techniq...

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Bibliographic Details
Main Authors: Tao, Chen-Chao, 陶振超
Other Authors: Natasha Ma, H.
Format: Others
Language:zh-TW
Published: 1996
Online Access:http://ndltd.ncl.edu.tw/handle/45635855059736691428
Description
Summary:碩士 === 國立交通大學 === 傳播研究所 === 84 ===   This paper describes the demographics, the behavior and the motivation of the WWW users.Furthermore, the questionnaire is designed to compare between the innovators and the early-adopters. Finally, we tried to test whether WWW can be an adaptive surveying technique.   There are five major findings in this survey:   1.Demographic aspect.93% of the users are males. The average age is 28.5 years old. Most users are students and professionals.They are college or university level. The personal income for a non-student user is more than NT$30,000 per month.   2.Behavior aspect. The population of WWW uses in Taiwan grows in S-curve over time. The majority of users acquire information of home page from WWW itself. They depend on bookmarks provided by browsers. Respondents'''' primary place of access was at home. 53% of the users use their browsers more than once per day and it takes 30 minutes to two hours per view.The most common Web activity is simple browsing and the least one is shopping.   3.Motivation aspect. Information needs. media attractions, and WWW techniques require three main motivations for users.   4.The differences between innovators and early-adopters are that innovators have highly homogeneous demographics, more active use behaviors and they use BBS more frequently.   5.Our WWW-based surveying techniques are better than others due to its effective data collections and analysis. Whereas, Our survey suffers from non-random sampling because of the self-selected data.