[目的/意义] 构建公共图书馆创客空间用户使用意愿影响因素模型，为改善公共图书馆创客空间的运营提出建议。[方法/过程] 以技术接受与使用整合理论为基础，结合公共图书馆创客空间及用户特征，构建公共图书馆创客空间用户使用意愿影响因素模型，并设计问卷，以公共图书馆创客空间用户作为调查对象，通过线上线下的方式收集数据，采用结构方程模型的方法对数据进行分析。[结果/结论] 绩效期望、趣味感知、服务质量感知和个体创新性对公共图书馆创客空间的用户使用意愿具有显著正向影响，从满足用户绩效期望、增强用户趣味感知、提升服务质量和提高创新性4个方面对公共图书馆创客空间运营提出建议。
[Purpose/significance] This study constructs a model about use intention in public library makerspace in order to provide reference for improving public library makerspace operation. [Method/process] The model about use intention in public library makerspace is based on the unified theory of acceptance and use of technology, considering the library makerspace' and users' characteristics. We design questionnaires to collect raw data from users of public libraries through the way online and offline, and use structural equation modeling to analyze the data. [Result/conclusion] Performance expectation, perceived enjoy, perceived service quality and personal innovation have a significant positive influence on the user's willingness to use in the public library makerspace, so we make suggestions for improving public library makerspace operation in satisfying users' performance expectation, enhancing users' perceived enjoyment, promoting service quality and improving innovation.
[1] LOU N, PEEK K. By the numbers:the rise of the makerspace[EB/OL].[2018-01-22]. http://www.popsci.com/rise-makerspace-by-numbers.
[2] HLUBINKA M. Makerspace playbook[EB/OL].[2018-01-22]. https://makered.org/wp-content/uploads/2014/09/Makerspace-Playbook-Feb-2013.pdf.
[3] 徐路. 图书馆未来发展的关键趋势,面临挑战和重要技术——基于《新媒体联盟地平线报告:2015图书馆版》的分析[J]. 图书情报知识,2017(2):26-32.
[4] BURKE J. Making sense:can makerspaces work in academic libraries?[EB/OL].[2018-01-22]. http://www.ala.org/acrl/sites/ala.org.acrl/files/content/conferences/confsandpreconfs/2015/Burke.pdf.
[5] COLEGROVE T. Editorial board thoughts:libraries as makerspace?[J]. Information technology and libraries, 2013, 32(1):2-5.
[6] 龚雪竹.国内公共图书馆创客空间发展现状调查研究[J].图书馆学研究,2017(24):60-66.
[7] 张哲,王以宁,陈晓慧,等.高校学生创客空间采纳行为意向影响因素研究——以"数字媒体制作"创客空间为例[J]. 开放教育研究,2016,22(1):112-120.
[8] 明均仁, 张玄玄, 张俊, 等. 大学生参与高校图书馆创客空间意愿的影响因素研究[J]. 图书情报工作, 2017, 61(14):70-77.
[9] VENKATESH V, MORRIS M G, DAVIS G B, et al. User acceptance of information technology:toward a unified view[J]. MIS quarterly, 2003, 27(3):425-478.
[10] 靳娟.高校学生使用移动图书馆的行为意愿影响因素研究[D].合肥:安徽大学,2014.
[11] AWWAD M S, Al-MAJALI S M. Electronic library services acceptance and use:an empirical validation of unified theory of acceptance and use of technology[J]. The electronic library, 2015, 33(6):1100-1120.
[12] DAVIS F D, BAGOZZI R P, WARSHAW P R. User acceptance of computer technology:a comparison of two theoretical models[J]. Management science, 1989,35(8):982-1003.
[13] MOORE G C, BENBASAT I. Development of an instrument to measure the perceptions of adopting an information technology innovation[J]. Information systems research, 1991, 2(3):192-222.
[14] COMPEAU D, HIGGINS C A, HUFF S. Social cognitive theory and individual reactions to computing technology:a longitudinal study[J]. MIS quarterly, 1999,23(2):145-158.
[15] THOMPSON R L, HIGGINS C A, HOWELL J M. Personal computing:toward a conceptual model of utilization[J]. MIS quarterly, 1991,15(1):125-143.
[16] AJZEN I. The theory of planned behavior[J]. Organizational behavior and human decision processes, 1991, 50(2):179-211.
[17] DAVIS F D, BAGOZZI R P, WARSHAW P R. Extrinsic and intrinsic motivation to use computers in the workplace[J]. Journal of applied social psychology, 1992, 22(14):1111-1132.
[18] 白波.高校图书馆微信用户接受行为研究——基于技术接受模型[D].长春:吉林大学, 2015.
[19] BOLTON R N, DREW J H. A multistage model of customers' assessments of service quality and value[J]. Journal of consumer research, 1991, 17(4):375-384.
[20] WONG W T, HUANG N T N. The effects of e-learning system service quality and users' acceptance on organizational learning[J]. International journal of business and information, 2015, 6(2):205-225.
[21] NISHA N, IQBAL M, RIFAT A, et al. Exploring the role of service quality and knowledge for mobile health services[J]. International journal of e-business research, 2016, 12(2):45-64.
[22] GOLDSMITH R E, HOFACKER C F. Measuring consumer innovativeness[J]. Journal of the Academy of Marketing Science, 1991, 19(3):209-221.
[23] AGARWAL R, PRASAD J.A conceptual and operational definition of personal innovativeness in the domain of information technology[J]. Information systems research, 1998, 9(2):204-215.
[24] THAKUR R, SRIVASTAVA M. Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India[J]. Internet research, 2014, 24(3):369-392.
[25] CHONG A Y L. Predicting m-commerce adoption determinants:a neural network approach[J]. Expert systems with applications, 2013, 40(2):523-530.
[26] STRAUB D, BOUDREAU M C, GEFEN D. Validation guidelines for IS positivist research[J]. The communications of the Association for Information Systems, 2004, 13(1):380-427.
[27] MASON C H, PERREAULT JR W D. Collinearity, power, and interpretation of multiple regression analysis[J]. Journal of marketing research, 1991, 28(3):268-280.
