Big data refers to dataset whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. And now it is considered to create the new opportunity in every industry. The purpose of this study is to develop of big data services in public library for improved library services. To this end, analysed the type of library big data and needs of stockholders through the various methods such as deep interview, focus group interview, questionnaire. At first step, we defined the 16 big data service models from interview with librarians, and LIS professions. Second step, it was considered necessity, timeliness, possibility of development. We developed the final two services called on 'Decision Support Services for Public Librarians' and 'Book Recommendation Services for Users.'
CVM (Contingent Valuation Method) has been most widely used for valuation of public libraries. However, there have been a debate on the validity of CVM in that many kind of biases could exist due to its hypothetical nature, the type of questions, payment vehicles and so on. To ensure the validity and reliability of public library valuation, this study analyzed the effects of payment vehicles to valuation using CVM. Three types of payment vehicle, tax, donation, fee were used to pay in hypothetical market. As a result, these payment vehicles estimated the different WTP and donation produced 14,542 won, which is the highest WTP.
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