Based on Statistical Education to Study Innovative Service and Relationship Quality of University Library under Big Data
Ruiyi Gong 1, Kaijun Yu 1, Hongmei Tang 2 *
More Detail
1 Library, Shanghai University of Medicine & Health Sciences, Shanghai, CHINA
2 School of Nursing and Health Management, Shanghai University of Medicine & Health Sciences, Shanghai, CHINA
* Corresponding Author

Abstract

Along with the evolution of information technology, libraries have become network libraries and virtual libraries, and major technological revolution has changed the management and service of libraries. When providing users with information service, a library should apply statistical education to accurately analyze user needs and habits, enhance the library by designing diverse information service functions, and provide users with an information integration platform. In addition to more convenience for users utilizing library resources, the practice of statistical education would optimize the management process of a library. Aiming at librarians and users of Shanghai university of medicine and health sciences library, the membership database is applied to collect big data. With online questionnaire, total 500 copies of questionnaire are distributed and 387 valid copies are retrieved, with the retrieval rate 77%. The research results show significantly positive effects of 1.statistical education on innovative service, 2.innovative service on relationship quality, and 3.statistical education on relationship quality. Finally, suggestions, according to the results, are proposed, expecting to have libraries constantly create innovative management and service, facilitate users in the utilization of library resources, and integrate systems for optimizing the library management process.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.29333/ejmste/89499

EURASIA J Math Sci Tech Ed, 2018 - Volume 14 Issue 6, pp. 2419-2425

Publication date: 10 Apr 2018

Article Views: 937

Article Downloads: 358

Open Access References How to cite this article