基于用户行为感知的移动社交网络信息服务持续使用意愿研究
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摘要
[目的/意义]本文以用户行为感知视角,研究影响移动社交网络主导型用户与浏览型用户持续使用的因素,为移动社交网络信息服务提供理论基础,并为移动社交网络提供商提出参考与应用借鉴。[方法/过程]分析移动社交网络主导型用户与浏览型用户持续使用意愿影响因素,引入相关变量,构建了基于用户行为感知的移动社交网络信息服务持续使用意愿模型并提出假设,最后通过结构方程模型进行实证分析。[结果/结论]感知有用性、感知易用性、感知娱乐、感知质量等因素均显著影响主导型及浏览型两类用户;服务质量、感知风险、知识获取、个人创新、社会认可、感知信任、感知转换成本等因素对两类用户有不同程度的影响。
[Purpose/Significance] This paper discussed the factors that affected the continuous usage intention of dominant and browsing users of mobile social networks,provided a theoretical basis for mobile social network information services and reference for mobile social network providers. [Method/Process] This paper analyzed the influencing factors of the continuous usage intention of the dominant and browsing users in mobile social networks,introduced relevant variables,built the continuous usage intention model of mobile social network information service based on user behavior perception and put forward the hypothesis,and finally used the structural equation model to conduct empirical analysis. [Results/Conclusions] The results showed that perceived usefulness,perceived ease of use,perceived entertainment,perceived quality and other factors had a significant impact on dominant and browsing users of mobile social networks; quality of service,perceived risk,knowledge acquisition,personal innovation,social recognition,perceived trust,perceived transformation Costs and other factors had different degrees of impact on two types of users.
[Purpose/Significance] This paper discussed the factors that affected the continuous usage intention of dominant and browsing users of mobile social networks,provided a theoretical basis for mobile social network information services and reference for mobile social network providers. [Method/Process] This paper analyzed the influencing factors of the continuous usage intention of the dominant and browsing users in mobile social networks,introduced relevant variables,built the continuous usage intention model of mobile social network information service based on user behavior perception and put forward the hypothesis,and finally used the structural equation model to conduct empirical analysis. [Results/Conclusions] The results showed that perceived usefulness,perceived ease of use,perceived entertainment,perceived quality and other factors had a significant impact on dominant and browsing users of mobile social networks; quality of service,perceived risk,knowledge acquisition,personal innovation,social recognition,perceived trust,perceived transformation Costs and other factors had different degrees of impact on two types of users.
引文
[1] Chang S E,Shen W C,Yeh C H. A Comparative Study of User Intention to Recommend Content on Mobile Social Networks[J].Multimedia Tools&Applications,2016:1-19.
[2] Zhou T. Understanding Continuance Usage of Mobile Sites[J].Industrial Management&Data Systems,2013,11(1):56-70.
[3] Ha Y W,Park M C,Lee E. A Framework for Mobile SNS Advertising Effectiveness:User Perceptions and Behaviour Perspective[J]. Behaviour&Information Technology,2014,33(12):1333-1346.
[4] Wu I L,Li J Y,Fu C Y. The Adoption of Mobile Healthcare by Hospital’ s Professionals:An Integrative Perspective[J]. Decision Support Systems,2011,51(3):587-596.
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[12] Lin T C,Wu S,Hsu S C,et al. The Integration of Value-based Adoption and Expectation-confirmation Models:An Example of IPTV Continuance Intention[J]. Decision Support Systems,2012,54(1):63-75.
[13]代宝,刘业政.基于期望确认模型、社会临场感和心流体验的微信用户持续使用意愿研究[J].现代情报,2015,35(3):19-23.
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[16] Delone W H,Mclean E R. Measuring e-Commerce Success:Applying the De Lone&Mc Lean Information Systems Success Model[M]. M. E. Sharpe,Inc,2004.
[17]左晓琳.移动应用商店用户持续使用意愿影响因素分析[J].北京市经济管理干部学院学报,2014,(1):33-37.
[18] Kim D,Chun H,Lee H. Determining the Factors that Influence College Students’ Adoption of Smartphones[J]. Journal of the Association for Information Science&Technology, 2014, 65(3):578-588.
[19] Luo X. Trust Production and Privacy Concerns on the Internet:A Framework Based on Relationship Marketing and Social Exchange Theory[J]. Industrial Marketing Management,2002,31(2):111-118.
[20]邓晓玲.移动购物用户持续使用意愿影响因素的实证研究[D].南昌:江西财经大学,2016.
[21]刘人境,柴婧. SNS社交网络个人用户持续使用行为的影响因素研究[J].软科学. 2013,27(4):132-135,140.
[22]刘莉.社交网站用户持续使用行为研究——基于信息获取和人际交互的视角[J].情报理论与实践,2012,35(11)17-22.
[23]胡守伟.社会化问答平台用户持续使用意愿影响因素研究[D].合肥:安徽大学,2017.
[24]江勇威.感知利益对社会化问答社区用户持续使用意愿的影响机制[D].广州:暨南大学,2016.
[25] Girolami M,Chessa S,Caruso A. On Service Discovery in Mobile Social Networks:Survey and Perspectives[J]. Computer Networks,2015,88:51-71.
[26] Davis F D. Perceived Usefulness,Perceived Ease of Use,and User Acceptance of Information Technology[J]. Mis Quarterly,1989,13(3):319-340.
[27] Venkatesh V,Davis F D. A Theoretical Extension of the Technology Acceptance Model:Four Longitudinal Field Studies[M]. INFORMS,2000.
[2] Zhou T. Understanding Continuance Usage of Mobile Sites[J].Industrial Management&Data Systems,2013,11(1):56-70.
[3] Ha Y W,Park M C,Lee E. A Framework for Mobile SNS Advertising Effectiveness:User Perceptions and Behaviour Perspective[J]. Behaviour&Information Technology,2014,33(12):1333-1346.
[4] Wu I L,Li J Y,Fu C Y. The Adoption of Mobile Healthcare by Hospital’ s Professionals:An Integrative Perspective[J]. Decision Support Systems,2011,51(3):587-596.
[5] Shin Y M,Lee S C,Shin B,et al. Erratum to:Examining Influencing Factors of Post-adoption Usage of Mobile Internet:Focus on the User Perception of Supplier-side Attributes[J]. Information Systems Frontiers,2010,12(5):595-606.
[6] Schierz P G,Schilke O,Wirtz B W. Understanding Consumer Acceptance of Mobile Payment Services:An Empirical Analysis[J]. Electronic Commerce Research&Applications,2010,9(3):209-216.
[7] Liang T P,Yeh Y H. Effect of Use Contexts on the Continuous Use of Mobile Services:The Case of Mobile Games[J]. Personal&Ubiquitous Computing,2011,15(21):87-196.
[8] Thong J Y L,Venkatesh V,Xu X,et al. Consumer Acceptance of Personal Information and Communication Technology Services[J]. IEEE Transactions on Engineering Management,2011,58(4):613-625.
[9] Park J,Yang S,Lehto X. Adoption of Mobile Technologies for Chinese Consumers[J]. Journal of Electronic Commerce Research,2007,8(3).
[10] Zhou T. Understanding Mobile Internet Continuance Usage from the Perspectives of UTAUT and Flow[J]. Information Development,2011,27(3):207-218.
[11] Kim B,Min J. The Distinct Roles of Dedication-based and Constraint-based Mechanisms in Social Networking Sites[J]. Internet Research,2015,25(1):30-51.
[12] Lin T C,Wu S,Hsu S C,et al. The Integration of Value-based Adoption and Expectation-confirmation Models:An Example of IPTV Continuance Intention[J]. Decision Support Systems,2012,54(1):63-75.
[13]代宝,刘业政.基于期望确认模型、社会临场感和心流体验的微信用户持续使用意愿研究[J].现代情报,2015,35(3):19-23.
[14] Yuan Y,Archer N,Connelly C E,et al. Identifying the Ideal Fit Between Mobile Work and Mobile Work Support[J]. Information&Management,2010,47(3):125-137.
[15] Hsu C L,Lu H P,Hsu H H. Adoption of the Mobile Internet:An Empirical Study of Multimedia Message Service(MMS)[J].Omega,2007,35(6)715-726.
[16] Delone W H,Mclean E R. Measuring e-Commerce Success:Applying the De Lone&Mc Lean Information Systems Success Model[M]. M. E. Sharpe,Inc,2004.
[17]左晓琳.移动应用商店用户持续使用意愿影响因素分析[J].北京市经济管理干部学院学报,2014,(1):33-37.
[18] Kim D,Chun H,Lee H. Determining the Factors that Influence College Students’ Adoption of Smartphones[J]. Journal of the Association for Information Science&Technology, 2014, 65(3):578-588.
[19] Luo X. Trust Production and Privacy Concerns on the Internet:A Framework Based on Relationship Marketing and Social Exchange Theory[J]. Industrial Marketing Management,2002,31(2):111-118.
[20]邓晓玲.移动购物用户持续使用意愿影响因素的实证研究[D].南昌:江西财经大学,2016.
[21]刘人境,柴婧. SNS社交网络个人用户持续使用行为的影响因素研究[J].软科学. 2013,27(4):132-135,140.
[22]刘莉.社交网站用户持续使用行为研究——基于信息获取和人际交互的视角[J].情报理论与实践,2012,35(11)17-22.
[23]胡守伟.社会化问答平台用户持续使用意愿影响因素研究[D].合肥:安徽大学,2017.
[24]江勇威.感知利益对社会化问答社区用户持续使用意愿的影响机制[D].广州:暨南大学,2016.
[25] Girolami M,Chessa S,Caruso A. On Service Discovery in Mobile Social Networks:Survey and Perspectives[J]. Computer Networks,2015,88:51-71.
[26] Davis F D. Perceived Usefulness,Perceived Ease of Use,and User Acceptance of Information Technology[J]. Mis Quarterly,1989,13(3):319-340.
[27] Venkatesh V,Davis F D. A Theoretical Extension of the Technology Acceptance Model:Four Longitudinal Field Studies[M]. INFORMS,2000.