针对目前国内商学院数字化教学(E-learning)的接受度和使用率不高的现状，基于整合的技术接受与使用统一理论(UTAUT)系列模型，结合商学院教育教学特点，从教师角度提出商学院E-learning系统接受模型.通过结构方程分析结果表明，教师的用户特性(包括教师技能、态度、知识产权保护意识等)、绩效期望、在线课程特点、促进条件、努力期望和社会影响是影响商学院教师E-learning使用意愿和行为的因素，其中教师特性、绩效期望以及在线课程特点是关键性因素.探讨了人口统计变量对采用E-learning的差异性，并对国内商学院推广使用E-learning系统给出了相关策略建议.
In view of the current situation that E-learning usage rate is still not high in Chinese business schools, a research model of the acceptance of E-learning system in business schools is proposed from the viewpoint of teachers. Based on the technology acceptance and the unified theory of acceptance and use of technology (UTAUT) series model and combined with the features of business school teaching, the empirical analyses are carried out on the research model and hypotheses. The structural equation analysis results show that the teachers’ user characteristics (mainly referring to teachers’ skill, attitude, consciousness of the protection of intellectual property rights, etc.), performance expectancy, online course features, facilitating conditions, effort expectancy and social influence are the influence factors on the intention and behavior of E-learning system use, in which the teachers’ user characteristics, the performance expectancy and the online course features are the determining factors in the adoption intention of E-learning system. This study discusses the differences of using E-learning of overseas education background and gender. This study also gives some strategic suggestions on the construction and promotion of E-learning system in business schools in China, and has a certain reference value for the business schools to promote E-learning system.
［1］GRAJEK S. Top 10 IT issues, 2015: Inflection point［J］. Educause Review, 2015, 50(1): 10-48.
［2］THOMAS S. Future ready learning: Reimagining the role of technology in education. 2016 National Education Technology Plan［J］. Office of Educational Technology, US Department of Education, 2016.
［3］JOHNSON L, ADAMS B S, CUMMINS M, et al. NMC horizon report: 2016 higher education edition［EB/OL］. (2016-02-04) ［2016-03-01］. http:∥cdn.nmc.org/media/2016-nmc-horizon-report-he-EN.pdf.
［4］梁林梅, 夏颖越. 美国高校在线教育: 现状、阻碍、动因与启示——基于斯隆联盟十二年调查报告的分析［J］. 开放教育研究, 2016, 22(1): 27-36.
LIANG Linmei, XIA Yingyue. Status, barriers, motivations, and implications of online education in the U. S. higher education: Based on the analysis of 12 years survey reports from sloan—Consortium［J］. Open Education Research, 2016, 22(1): 27-36.
［5］DAHLSTROM E, WALKER J D, DZIUBAN C. ECAR study of undergraduate students and information technology［EB/OL］. (2014-10-02) ［2016-02-20］. https:∥www.educause.edu/ir/library/pdf/ss14/ERS1406.pdf.
［6］HAIMITI A, JIN S, WANG D Q. D2L learning management system in America: It’s character and it’s inspiration towards online education of China［J］. Higher Education of Social Science, 2014, 7(3): 47-52.
［7］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.
［8］VENKATESH V, THONG Y L J, XU X. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology［J］. Social Science Electronic Publishing, 2012, 36(1): 157-178.
［9］SCHAUPP L C, CARTER L, MCBRIDE M E. E-file adoption: A study of U.S. taxpayers’ intentions［J］. Computers in Human Behavior, 2010, 26(4): 636-644.
［10］GONG M, XU Y, YU Y. An enhanced technology acceptance model for web-based learning［J］. Journal of Information Systems Education, 2004, 15(4): 365-374.
［11］MAHDIZADEH H, BIEMANS H, MULDER M. Determining factors of the use of e-learning environments by university teachers［J］. Computers & Education, 2008, 51(1): 142-154.
［12］TEO T. Modeling the determinants of pre-service teachers’ perceived usefulness of e-learning［J］. Campus Wide Information Systems, 2011, 28(2): 124-140.
［13］路兴, 赵国栋, 原帅, 等. 高校教师的“混合式学习”接受度及其影响因素研究［J］.远程教育杂志, 2011, 2: 62-67.
LU Xing, ZHAO Guodong, YUAN Shuai, et al. Research on faculty acceptance of hybrid learning in universities: Taking PKU academic online as an example［J］. Journal of Distance Education, 2011, 2: 62-67.
［14］UMAK B, POLANCIC G, HERICKO M. An empirical study of virtual learning environment adoption using UTAUT［J］∥Mobile, Hybrid, and On-Line Learning, International Conference on(2010). Saint Maarten, Netherlands Antilles: IEEE, 2010: 17-22.
［15］LU H K, LIN P C, LIU S C. Toward an education behavioral intention model for E-learning systems: An extension of UTAUT［J］. Journal of Theoretical and Applied Information Technology, 2013, 47(3): 1120-1127.
［16］CHEN J L. The effects of education compatibility and technological expectancy on e-learning acceptance［J］. Computers & Education, 2011, 57(2): 1501-1511.
［17］OZKAN S, KOSELER R. Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation［J］. Computers & Education, 2009, 53(4): 1285-1296.
［18］BHUASIRI W, XAYMOUNGKHOUN O, ZO H, et al. Critical success factors for e-learning in deve-loping countries: A comparative analysis between ICT experts and faculty［J］. Computers & Education, 2012, 58(2): 843-855.
［19］SAAD R, BAHLI B. The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: An extension of the technology acceptance model［J］. Information & Management, 2005, 42(2): 317-327.
［20］SUN P C, TSAI R J, FINGER G, et al. What drives a successful e-learning? An empirical investigation of the critical factors influencing learner satisfaction［J］. Computers & Education, 2008, 50(4): 1183-1202.
