Subjects: Library Science，Information Science >> Library Science submitted time 2023-08-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] Relationship quality is used to measure the intensity of relationship between user and library. This study attempts to construct a scientific evaluation index system, evaluate the library relationship quality, and then put forward some suggestions to improve it.[Method/process] In this study, a questionnaire survey was conducted on users in university libraries. EFA was used to summarize the dimensions of library relationship quality. Descriptive statistical analysis, IPA and variance analysis were conducted for users' evaluation of library relationship quality.[Result/conclusion] The results of empirical research show that the library's relationship quality is composed of three dimensions:satisfaction, trust and commitment. Users generally tend to be positive in the evaluation of the library relationship quality, which has the highest commitment dimension and the lowest trust dimension. The users who are familiar with the library are significantly higher evaluation of the library relationships quality than users who are unfamiliar users. Therefore, in order to enhance users' perception of relationship quality, libraries should set up services guarantee,improve librarians' service capabilities, promote transformation of resource oriented services to user oriented services, and strengthen the interaction between the library and users.
Subjects: Library Science，Information Science >> Library Science submitted time 2023-07-26 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] This paper aims to construct a PROV provenance model and user credibility evaluation index for information dissemination process, quantify the credibility of information, and enrich and improve the method of credibility evaluation of socialized Q&A community platform.[Method/process] The paper analyzed the credibility of the data origination concept assessment information from the perspective of the information dissemination process, traced and recorded the source and dissemination of the information by establishing the relevant PROV data provenance model. The process, combined with the user credibility scores involved in the information dissemination process, was used to calculate the quantitative results of the credibility of the information.[Result/conclusion] Through the evaluation of the credibility of information, the information credibility evaluation method is further improved, which provides a new idea for optimizing the quality of community information.
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