Earticle

E-Smart Health Information Adoption Processes : Central versus Peripheral Route

원문정보

초록

영어
Our study adopted ELM (Elaboration Likelihood Model) to measure the impact of central and peripheral cues on e-healthcare website behavior and its consequence on perceived loyalty of users. While most of ELM studies did not elaborate the antecedent of both central and peripheral cues, we measured the antecedents of those information processing routes to clarify how technical and quality factors (i.e. information organization, security concern, and website attractiveness) develop the nature of either central or peripheral route. We found that information organization was the main antecedent of information quality presented on the website. Second, the results revealed that website security has a positive effect on website credibility. Third, we also found that website attractiveness was positively associated with website credibility. Fourth, consistent with elaboration likelihood model, the empirical findings suggested that information quality (central cue) and website credibility (peripheral cue) were strong predictors of behavior intention to use health website. Our findings also suggested that behavior intention to use health website significantly influenced perceived loyalty.

목차

Abstract
 Ⅰ. Introduction
 Ⅱ. Literature Reviews
  2.1 Elaboration Likelihood Model
 Ⅲ. Research Model and Hypotheses Development
 Ⅳ. Research Methodology
  4.1 Study Setting
  4.2 Operationalization of Constructs
 Ⅴ. Data Analysis and Result
  5.1 Scale Validation
  5.2 Hypotheses Testing
 Ⅵ. Discussion
 Ⅶ. Research Limitations
 Ⅷ. Implications for Research
 Ⅸ. Implications for Practice
 
 

저자

  • Chulmo Koo [ Associate Professor, College of Hotel and Tourism Management, Kyung Hee University ]
  • Min Kyung Lim [ Head at Division of Cancer Prevention/Associate Professor at Department of Cancer Policy and Management in Graduate School, National Cancer Center, Korea ]
  • Keeho Park [ A Director of the Cancer Policy Branch of National Cancer Center, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      Asia Pacific Journal of Information Systems
    • 간기
      계간
    • pISSN
      2288-5404
    • eISSN
      2288-6818
    • 수록기간
      1990~2026
    • 등재여부
      KCI 등재,SCOPUS
    • 십진분류
      KDC 325 DDC 658