AU - Keshavarz, Hamid AU - Fahimnia, Fatemeh AU - Nouruzi, Alireza AU - Esmaeili Givi, Mohammadreza TI - Designing and Evaluating a Conceptual Model of Credibility Evaluation of Web Information: a Meta-synthesis and Delphi Study PT - JOURNAL ARTICLE TA - hii JN - hii VO - 3 VI - 3 IP - 3 4099 - http://hii.khu.ac.ir/article-1-2565-en.html 4100 - http://hii.khu.ac.ir/article-1-2565-en.pdf SO - hii 3 ABĀ  - Background and Aim: The current research aims to develop a literature-dependent and expert-modified model related to credibility evaluation of web information. Methods: Regarding the approach, mixed method would be utilized. The research method then is mixed-heuristic using both qualitative and quantitative methodologies. In the first stage of the research, meta- synthesis was used as a qualitative research method. Secondly, exploring experts’ points of view was conducted by a Delphi method to develop the conceptual model identified in the first stage. Results: Using the seven stage mode of meta-synthesis, a model was designed in four layers including concepts, categories, codes and indicators. A set of 68 indicators were incorporated into the different layers of the model. For reliability testing of the conceptual mopdel, a Delphi study was conducted in two rounds after which the comments of the experst were included into the model. Regarding the high degree of Kendall’s coeficinet of concordance about %.65 and the agreement perecentage of the most dimensions of the model higher than %90 the conceptual model was confirmed by the sample experts. Conclusion: The conceptual model derived from the meta-synthesis and Delphi studies is a model accepted by experts and a base for future research to design some tools for related studies. The findings showed that the credibility evaluation is a concept whith different and multiple dimensions and components suitable for users, designers and policymakers to take them into consideration in design and evaluation of web resources. CP - IRAN IN - LG - eng PB - hii PG - 1 PT - Research YR - 2016