Ali Biranvand; Ahmad Shaabani; Morteza Mohammadi Ostani
Abstract
Purpose: The present paper aims to investigate factors affecting knowledge-sharing among Fars Province public libraries’ librarians in terms of combina-tion of models Social Exchange and Technology Acceptance Model (TAM) and introducing a model of predicting their behavior.Research Methodology: ...
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Purpose: The present paper aims to investigate factors affecting knowledge-sharing among Fars Province public libraries’ librarians in terms of combina-tion of models Social Exchange and Technology Acceptance Model (TAM) and introducing a model of predicting their behavior.Research Methodology: The research is of practical type, and questionnaire has been used as the data gathering tool. Content validity has been used in order to determine the measurement tool validity and Lisrel software pack-age has been used for data analysis. The statistical population of the research includes 180 librarians working in Fars Province’s public libraries and select-ed using stratified random sampling method.Results revealed that most of variable model Social Exchange and Technology Acceptance Model on knowledge-sharing are effect and a casual relationship. Education and consultation programs improve employees’ performance.These should be designed based on employees’ ability and type of activity. The technology-job proportionality provides the opportunity to make more use of a technology thus improving the user’s performance. Existence of mutual trust between the employees and the organization, on the other hand, causes both sides to tend more to make knowledge-sharing. Creation of positive mental thinking in employees’ minds has improved their mentality towards their activities and complexities of their use of knowledge-sharing system, at the same time, increasing job effectiveness and speed of doing duties. Conclusion: Considering the importance of knowledge-sharing as the most fundamental function and the most important challenge of knowledge man-agement, the current work presents a casual model for predicting the factors affecting knowledge-sharing in public libraries.
