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Journal of Korean Library and Information Science Society

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Vol.39 No.4
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Development of Web Credibility Evaluation Model Using AHP

Journal of Korean Library and Information Science Society / Journal of Korean Library and Information Science Society, (P)2466-2542;
2008, v.39 no.4, pp.51-69
https://doi.org/10.16981/kliss.39.4.200812.51

(2008). Development of Web Credibility Evaluation Model Using AHP. Journal of Korean Library and Information Science Society, 39(4), 51-69, https://doi.org/10.16981/kliss.39.4.200812.51
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Abstract

This study tired to develop the web credibility evaluation model by calculating weighted values and sensitivities of indicators which presented on preceding researches using Analytic Hierarchy Process. “Expert Choice 2000" was used as the tool for analysing AHP. 25 experts are answered for this questionnaire who are selected by judgement sampling method, one of the non-probability sampling method. Also, sensitivity analyses was performed to graphically see how the alternatives change with respect to the importance of the indicators or sub-indicators. The main results are summarized as followings; i) importance analysis in first level factors: trust-worthiness(0.606), expertness(0.222), safety(0.173), ii) importance analysis in second level factors: trustfulness (0.519), reputation(0.087), usefulness(0.102), timeliness(0.093), competency(0.027), security(0.115), reliability(0.058). iii) some of the importance analysis in third level factors: the site provides comprehensive information that is attributed to a specific source(0.252), the site has articles that list citations and references(0.153), the site contains user opinions and reviews(0.072), etc. iv) sensitivity analyses showed that the importance of the indicators or sub-indicators are slightly changed with respect to the alternatives change.

keywords
신뢰성 평가, 웹 신뢰성, 신뢰성 평가모델, 계층적 분석방법, 지표 가중치, 민감도 분석, Credibility Evaluation, Web Credibility, Credibility Evaluation Model, AHP, Weighted Value of Indicator, Sensitivity Analysis, Credibility Evaluation, Web Credibility, Credibility Evaluation Model, AHP, Weighted Value of Indicator, Sensitivity Analysis

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