모바일 취업정보시스템의 품질특성이 이용의도에 미치는 영향에 관한 연구 : 신뢰와 지각된 가치의 매개효과를 중심으로The Effect of Quality Characteristics of Mobile Job Information Systems on Intention to Use: Mediating Effects of Trust and Perceived Value
- Other Titles
- The Effect of Quality Characteristics of Mobile Job Information Systems on Intention to Use: Mediating Effects of Trust and Perceived Value
- Authors
- 장수위; 정대율
- Issue Date
- Jun-2024
- Publisher
- 한국인터넷전자상거래학회
- Keywords
- Job Information Services; Service Quality; Intention to Use; Mobile Services; Trust; Perceived Value
- Citation
- 인터넷전자상거래연구, v.24, no.3, pp 149 - 174
- Pages
- 26
- Indexed
- KCI
- Journal Title
- 인터넷전자상거래연구
- Volume
- 24
- Number
- 3
- Start Page
- 149
- End Page
- 174
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/71155
- DOI
- 10.37272/JIECR.2024.06.24.3.149
- ISSN
- 1598-1983
- Abstract
- Job information services are an important part of the employment process. Due to COVID-19 and the spread of smartphones, mobile-based job information services become more useful as job seekers can use smartphones to search and communicate with job service providers regardless of time and space. Existing studies have focused on website job information services in various aspects, but studies on mobile-based job information services are lacking. Therefore, the purpose of this study is to investigate how the quality characteristics of mobile-based job information services affect customer intention to use. First, this study identifies the detailed current situation by review job information services in China. Second, a structural model was derived from the literature review of previous researches on IS success model and TRA theory. Most research independent variables such as content sufficiency, timeliness, security, accessibility, personalization, and interactivity are derived from IS success model. The research model was established using trust and perceived value as a medium, which effect on intention to use. Third, in order to verify the research hypothesis, a survey was conducted on Chinese users. The data will be contribute to derive the results through empirical analysis and to present academic and practical implications.
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Collections - College of Business Administration > Department of Management Information Systems > Journal Articles
- 인문사회계열 > 경영정보학과 > Journal Articles

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