[1] 余鲲鹏, 李伟. 基于技术接受模型的食品区块链溯源系统消费者使用意愿研究[J]. 中国软科学, 2023(8): 62-72.
YU Kunpeng, LI Wei. Consumers’ adoption intention of food block-chain traceability system based on the technology acceptance model[J].China Soft Science, 2023(8): 62-72.
[2] 丰佳栋. 双循环背景下数字零售顾客交互创新轨道中技术采纳行为研究[J]. 管理现代化, 2022, 42(1): 111-116.
FENG Jiadong. Technology adoption behavior study in customer interactive innovation of digital retail in double circular economy[J].Modernization of Management, 2022, 42(1): 111-116.
[3] PIETROD L, GUGLIELMETTI M R, MATTIA G, et al. The integrated model on mobile payment acceptance (IMMPA): An empirical application to public transport[J]. Transportation Research Part C: Emerging Technologies, 2015, 56: 463-479.
[4] 陈坚, 余豪, 张弛. 社交网络环境下交通信息接受行为研究[J]. 重庆交通大学学报(自然科学版), 2020, 39(12): 13-19.
CHEN Jian, YU Hao, ZHANG Chi. Traffic information acceptance behavior in social network environment[J].Journal of Chongqing Jiaotong University (Natural Science), 2020, 39(12): 13-19.
[5] 傅志妍, 赵翰林, 陈坚, 等. 社交网络交通信息对出行方式选择行为影响模型[J]. 交通运输系统工程与信息, 2019, 19(2): 22-29.
FU Zhiyan, ZHAO Hanlin, CHEN Jian, et al. Influence model of social network traffic information on the travel mode choice behavior[J].Journal of Transportation Systems Engineering and Information Technology, 2019, 19(2): 22-29.
[6] BENELIA E, PACE D R, BIFULCO G N, et al. The impact of travel information’s accuracy on route-choice[J]. Transportation Research Part C: Emerging Technologies, 2013, 26: 146-159.
[7]李忠奇, 白凯. 西安城市居民共享单车使用意愿——服务便捷性与感知风险的交互中介效应检验[J]. 陕西师范大学学报(自然科学版), 2021, 49(2): 78-85.
LI Zhongqi, BAI Kai. The willingness of urban residents to shared bicycle in Xi’an city: Test of interactive mediating effect between service convenience and perceived risk[J].Journal of Shaanxi Normal University (Natural Science Edition), 2021, 49(2): 78-85.
[8] REJALI S, AGHABAYK K, ESMAELI S, et al. Comparison of technology acceptance model, theory of planned behavior, and unified theory of acceptance and use of technology to assess a priori acceptance of fully automated vehicles[J].Transportation Research Part A: Policy and Practice, 2023, 168: 103565.
[9] CHENG Peng, OUYANG Zhe, LIU Yang. Understanding bike sharing use over time by employing extended technology continuance theory[J].Transportation Research Part A: Policy and Practice, 2019, 124: 433-443.
[10] BLAZANIN G, MONDAL A, ASMUSSEN K E, et al. E-scooter sharing and bike-sharing systems: An individual-level analysis of factors affecting first-use and use frequency[J].Transportation Research Part C: Emerging Technologies, 2022, 135: 103515.
[11] DAVIS F D.Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology[M]. U.S.A.: Society for Information Management and the Management Information Systems Research Center, 1989.
[12] 杨鸿麟, 曹小曙, 李涛, 等. 城市居民使用共享单车的行为意愿及影响因素分析—以西安市为例[J]. 干旱区资源与环境, 2019, 33(6): 78-83.
YANG Honglin, CAO Xiaoshu, LI Tao, et al. Analysis of willingness and influence factors of urban residents to use shared bikes: A case study of Xi’an[J].Journal of Arid Land Resources and Environment, 2019, 33(6): 78-83.
[13] 柯湾. 共享单车大学生用户持续使用意愿影响因素研究[D]. 成都: 西南交通大学, 2019.
KE Wan.The Study of Influence Factors on the College Students’ Continuance Intention of Bike-Sharing[D]. Chengdu: Southwest Jiaotong University, 2019.
[14] 顾家锋. 共享单车用户付费意愿的影响因素研究[D]. 北京: 对外经济贸易大学, 2019.
GU Jiafeng.A Research on Factors Influencing Users’ Willingness to Pay for Shared Bicycles[D]. Beijing: University of International Business and Economics, 2019.
[15] 张国方, 李孟凯. 智能网联汽车用户使用满意度影响因素研究[J]. 现代管理科学, 2022(2): 78-88.
ZHANG Guofang, LI Mengkai. Research on influencing factors of intelligent networked automobile users satisfaction[J].Modern Management Science, 2022(2): 78-88.
[16] BHATTACHERJEE A. Understanding information systems continuance: An expectation-confirmation model[J]. MIS Quarterly, 2001, 25(3): 351-370.
[17] 郭星光. 共享单车用户使用意愿影响因素研究[D]. 昆明: 云南财经大学, 2018.
GUO Xingguang.Research on the Influence Factors of Users’ Usage Intention of Using Sharing Bicycle[D]. Kunming: Yunnan University of Finance and Economics, 2018.
[18] KLEMPERER P. Markets with consumer switching costs[J].The Quarterly Journal of Economics, 1987, 102(2): 375-394.
[19] BAUER R A. Consumer behavior as risk taking[C]//Proceedings of the 43rd Dynamic Marketing for a Changing World. U.S.A.: Conference of the American Marketing Association,1960: 389-398.
[20] HAIR J F, BLACK B, BABIN B J, et al.Multivariate Data Analysis[M]. Beijing: Mechanical Industry Press, 2011.
[21] 姜宝山, 关菲, 刘圣. 共享单车用户持续使用意愿影响因素研究[J]. 科学与管理, 2019, 39(3): 42-48.
JIANG Baoshan, GUAN Fei, LIU Sheng. Research on influence factors of consumers continuous usage intention for shared bike[J].Science and Management, 2019, 39(3): 42-48. |