Categorization of Public Services in the Information Center and the Central Library of Ferdowsi University of Mashhad based on Kano's Model of Customer Satisfaction
Author(s):
Abstract:
Introduction
The aim of the present study was to categorize the public services of the Central Library of Ferdowsi University based on Kanos model.Methodology
This was an applied study. Survey method was used as a methodological technique. The population of the study was postgraduate students at Ferdowsi University of Mashhad comprising 120 randomly selected individuals as the main participants. A researcher-made questionnaire was designed based on Kanos model for the data collection. The validity of the questionnaires was confirmed by the faculty members in Knowledge and Information Science and Management departments. For the data analysis, Kanos table of evaluation model, Excel software, and descriptive statistics were used. Cranachs alpha was used to estimate the reliability index (α = 0.83)(FINDINGS:First, the vital and provided public services in the public parts of Information Center and Central Library of Ferdowsi University of Mashhad were identified. Hence, services were classified based on 5 criteria (including must-be, one-dimensional, attractive, indifferent, and reverse) depending on Kanos model and the students viewpoint. From 85 identified services, 37 services were must be (e.g., Information counseling and research counseling), 24 services were one-dimensional (e.g., current awareness), 13 services were attractive (e.g., translation services), 11 of them were indifferent (e.g., interlibrary loan like Ghadir system), and no service was classified as the reverse one.
Conclusions
All services provided by the library were desirable and expected, however, many services are classified as indifferent. Finally, some suggestions were provided to improve the planning of the library services based on the categorization of users.Keywords:
Language:
Persian
Published:
Library and Information Science Research, Volume:7 Issue: 1, 2017
Pages:
192 to 217
https://magiran.com/p1743845
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