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스마트 폰 애플리케이션의 사용에 미치는 영향요인 분석 : 카카오톡을 중심으로The Affecting Factors on the Usage of Smart Phone Application : The Case of Kakao Talk

Other Titles
The Affecting Factors on the Usage of Smart Phone Application : The Case of Kakao Talk
Authors
표진우김인재
Issue Date
Jun-2014
Publisher
한국인터넷전자상거래학회
Keywords
Supply Chain Management; Information System Integration; Organization Performance; Applications; Mobile Platform
Citation
인터넷전자상거래연구, v.14, no.3, pp 127 - 149
Pages
23
Indexed
KCI
Journal Title
인터넷전자상거래연구
Volume
14
Number
3
Start Page
127
End Page
149
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/15845
ISSN
1598-1983
Abstract
Mobile phone users have moved from feature phones to smart phones on the advent of iPhone. Even though there are several reasons for this phenomenon, the biggest reason is common usage of diverse applications on mobile platforms. Many kinds of applications are installed and actively used on mobile devices. This study basically aims to see what factors affect actual usage of applications. Kakao Talk, one of popular applications on mobile devices, is selected and analyzed by means of DeLone and McLean's IS Success Model. Influencing variables are classified into three factors such as quality, individual attributes, and social influence. Users' satisfaction and usage level are suggested in a research model. The results of this study are as the followings. First, Information quality of Kakao Talk does not have a positive influence on users' satisfaction and actual usage. Main purpose of Kakao Talk is to provide communication by chat or social networking rather than to provide information. Secondly, system quality has significant influence on users' satisfaction. This implies that users are more interested in ease of use and high-speed accessibility rather than service quality such as periodic updates and error recovery. Third, subjective norm has strong influence on actual usage, which means the size of network is an important factor to users.
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Dongguk Business School > Department of Management Information System > 1. Journal Articles

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