期刊文献+

社交电商平台用户互动持续使用意愿影响因素分析

Analysis on Influencing Factors of Users’ Willingness to Continue Using Social E-commerce Platform
下载PDF
导出
摘要 [目的/意义]旨在为社交电商平台优化、设计用户互动功能提供参考。[方法/过程]运用期望确认模型、技术接受模型的整合模型,引入潜变量感知娱乐性,回收281份有效问卷数据,通过SPSS、AMOS软件,以结构方程法实证分析用户对社交电商平台的用户互动的持续使用意愿。[结果/结论]感知有用性、感知易用性、感知娱乐性、满意度4个因素均对用户的持续使用社交电商平台用户互动的意愿构成正向影响;期望确认度正向影响感知有用性、感知易用性;感知有用性、感知易用性、期望确认度、感知娱乐性正向影响满意度;感知易用性正向影响感知有用性。最后,提出“易用性”“有用性”“娱乐感”“情感态度”4点优化建议。 [Purpose/significance] It aims to provide a reference for the optimization of social e-commerce platforms and the design of user interaction functions. [Method/process]With the integration model of expectation confirmation model and technology acceptance model,the paper introduces latent variables to perceive entertainment,recovers 281 pieces of valid questionnaire data,and empirically analyzes users’ willingness to continuously use the user interaction of social e-commerce platform by structural equation method through SPSS and Amos software. [Result/conclusion]Four factors of perceived usefulness,perceived ease of use,perceived entertainment and satisfaction have a positive impact on users’ willingness to continuously use the social e-commerce platform;expected confirmation has a positive impact on perceived usefulness and perceived ease of use;perceived usefulness,perceived ease of use,expected confirmation and perceived entertainment have a positive impact on satisfaction;and perceived ease of use has a positive impact on perceived usefulness. Finally,the paper puts forward four optimization suggestions of “ease of use”,“usefulness”,“sense of entertainment” and “emotional attitude”.
作者 刘静 赵军 Liu Jing;Zhao Jun(Business School of Ningxia University,Zhongwei Ningxia 755099)
机构地区 宁夏大学商学院
出处 《情报探索》 2022年第11期72-80,共9页 Information Research
关键词 用户互动 持续使用意愿 ECM TAM 感知娱乐 user interaction willingness to continue using ECM TAM perceived entertainment
  • 相关文献

二级参考文献120

  • 1温忠麟,侯杰泰,张雷.调节效应与中介效应的比较和应用[J].心理学报,2005,37(2):268-274. 被引量:3076
  • 2中国互联网络信息中心.第28次中国互联网发展状况统计报告[R].北京:中国互联网络信息中心,2011.
  • 3Parthasarathy M, Bhattacherjee A. Understanding post-adoption behavior in the context of online services [ J]. Information Sys- tems Research, 1998,9 4:362-379.
  • 4Hong J L, Thong J Y L, Tam K Y. Understanding continued in- formation technology usage behavior: A comparison of three models in the context of mobile internet [ J ]. Decision Support Systems, 2006, 42(3): 1819-1834.
  • 5Hayashi A, Chert C, Ryan T, et al. The role of social presence and moderating role of computer self efficacy in predicting the continuance usage of E-Learning systems[J]. Journal of Informa- tionSystems,2004,15(2): 139-154.
  • 6Hsu M H, Chiu C M, Ju T L. Determinants of continued useof the WWW: an integration of two theoretical models[ J]. Indus- trial Management and Data Systems, 2004,104 ( 9 ) : 766-775 Interna- tional Journal of Information Management, 2009,29 (4) : 309-320.
  • 7Liao O C, Palvia P, Ohen J L. Information technology adoption be- havior life cycle toward a technology continuance theory[ J].
  • 8Bhattacherjee A. Understanding information systemscontinuance: an expectation confirmation model [ J]. MIS Quar- terly, 2001,25[3/ :351-370.
  • 9Sabrina S S F, Matthew K 0 L. Explaining IT-based knowl-edge sharing behavior with IS continuance model and social fac- tors[ C].//PACIS. PACIS 206 Proceedings. Taiwan: Electronic Commerce RES CTR, 2006 : 255-270.
  • 10舒洁.政府内部办公系统用户持续使用意愿影响因素研究——基于期望确认理论视角[D].浙江:浙江大学,2011.

共引文献203

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部