基于用户行为感知的移动APP持续使用模型研究
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摘要
在移动互联网技术快速普及的信息化时代,用户使用或放弃一项移动应用或服务的成本几乎为零,因此增强用户黏性对移动社交网络个性化服务持续发展至关重要。从移动互联网用户行为感知视角出发,以期望确认模型为框架,在充分考虑移动互联网个性化服务特征的基础上,结合羊群行为理论与习惯理论,引入感知愉悦性、模仿他人、弱化自己拥有的信息及习惯等4个变量,构建基于用户行为感知的移动互联网个性化服务持续使用理论模型。同时,对各模型变量进行操作性定义并对变量之间的关系作出理论假设。对移动互联网用户个性化服务持续使用意愿与行为影响因素及作用机制的研究可为后续实证研究提供理论依据。
In the information age,mobile Internet technology is spreading rapidly,the cost of using or abandoning a mobile application or service is almost zero. Therefore,it is very important to enhance the user's adhesiveness to the continuous development of mobile Internets personalized services. From the perspective of user behavior perception,this paper gives full consideration to the characteristics of mobile Internet's personalized services and combines herd behavior theory and habit theory,and introduces four variables(such as,the perceived enjoyment,imitate others,discounting own information and habit)into the expectation confirmation model to construct a theoretical model for the continuous use of mobile Internet's personalized services based on user behavior perception. At the same time,this paper gives an operational definition of each model variable and makes theoretical assumptions about the relationships between variables.This study analyzes the influence factors and mechanism of users' continuous intention and behavior of mobile Internet's personalized services,which provides theoretical basis for subsequent empirical research.
In the information age,mobile Internet technology is spreading rapidly,the cost of using or abandoning a mobile application or service is almost zero. Therefore,it is very important to enhance the user's adhesiveness to the continuous development of mobile Internets personalized services. From the perspective of user behavior perception,this paper gives full consideration to the characteristics of mobile Internet's personalized services and combines herd behavior theory and habit theory,and introduces four variables(such as,the perceived enjoyment,imitate others,discounting own information and habit)into the expectation confirmation model to construct a theoretical model for the continuous use of mobile Internet's personalized services based on user behavior perception. At the same time,this paper gives an operational definition of each model variable and makes theoretical assumptions about the relationships between variables.This study analyzes the influence factors and mechanism of users' continuous intention and behavior of mobile Internet's personalized services,which provides theoretical basis for subsequent empirical research.
引文
[1]BHATTACHERJEE A.Understanding information systems continuance:an expectation confirmation model[J].MIS Quarterly,2001,25(3):351-370.
[2]LIMAYEM M.How Habit limits the predictive power of intention:the ease of information systems continuance[J].MIS Quarterly,2007,31(4):705-737.
[3]BHATTACHERJEE A,PEROLS J,SANFORD C.Information technology continuance:a theoretic extension and empirical test[J].Journal of Computer Information Systems,2008,30(4):17-26.
[4]HIRSCHMAN E,HOLBROOK M.Hedonic consumption:emerging concepts,methods and propositions[J].The Journal of Marketing,1982,46(3):92-101.
[5]翟姗姗,孙雪莹,李进华.基于社交体验的移动APP持续使用意愿研究--以网易云音乐为例[J].现代情报,2019(2):128-135.
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[7]赵忠平.移动游戏用户使用意愿影响因素分析[D].北京:北京邮电大学,2012.
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[9]胡赫男,吴世农.我国基金羊群行为:测度与影响因素[J].经济学家,2006(6):116-125.
[10]OBERHOLZER-GEE F.Non-employment stigma as rational herding:a field experiment[J].Journal of Economic Behavior and Organization,2008,65(1):30-40.
[11]CHEN Y.Herd behavior in purchasing books online[J].Computers in Human Behavior,2008,24(5):1977-1992.
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[15]陈明红,漆贤军,刘莹.移动图书馆持续使用意向及习惯的调节作用[J].情报科学,2016(1):125-132.
[16]LANDIS D,TRIANDIS H,ADAMOPOULOS J.Habit and behavioral intentions as predictors of social behavior[J].Journal of Social Psychology,1978,106(2):227-237.
[17]KIM G S,PARK S B,OH J.An examination of factors influencing consumer adoption of short message service(SMS)[J].Psychology and Marketing,2008(25):769-786.
[18]LIN T C,WU S,HSU J S C,et al.The integration of value-based adoption and expectation-confirmation models:an example of IPTVcontinuance intention[J].Decision Support Systems,2012,54(1):63-75.
[19]KANG Y S,LEE H.Understanding the role of an IT artifact in online service continuance:an extended perspective of user satisfaction[J].Computers in Human Behavior,2010,26(3):353-364.
[20]THONG J Y L,HONG S J,TAM K Y.The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance[J].International Journal of Human-Computer Studies,2006,64(9):799-810.
[21]KIM B.An empirical investigation of mobile data service continuance:incorporating the theory of planned behavior into the expectation-confirmation model[J].Expert Systems with Applications,2010,37(10):7033-7039.
[22]AGRIFOGLIO R,BLACK S,METALLO C,et al.Extrinsic versus intrinsic motivation in continued Twitter usage[J].Journal of Computer Information Systems,2015,53(1):33-41.
[23]SUN H.A longitudinal study of herd behavior in the adoption and continued use of technology[J].Management Information Systems Quarterly,2013(37):1013-1041.
[24]PARTHASARATHY M,BHATTACHERJEE A.Understanding postadoption behavior in the context of online services[J].Information Systems Research,1998(9):362-379.
[25]LIMAYEM M,HIRT S G,CHEUNG C M K.How habit limits the predictive power of intention:the case of information systems continuance[J].MIS Quarterly,2007,31(4):705-737.
[26]周中允.理解社会型虚拟世界中用户的持续参与:在“第二人生”中的探索研究和实证研究[D].合肥:中国科学技术大学,2010.
[27]CHEUNG C,LIMAYEM M.The role of habit in information systems continuance:examining the evolving relationship between intention and usage[C].2005 Proceedings of ICIS,2005:39.
[28]MOHAMED K,VANESSA L.Online consumer retention:contingent effects of online shopping habit and online shopping experience[J].European Journal of Information Systems,2007(16):780-792.
[29]KOUFARIS M.Applying the technology acceptance model and flow theory to online consumer behavior[J].Information Systems Research,2002,13(2):205-223.
[2]LIMAYEM M.How Habit limits the predictive power of intention:the ease of information systems continuance[J].MIS Quarterly,2007,31(4):705-737.
[3]BHATTACHERJEE A,PEROLS J,SANFORD C.Information technology continuance:a theoretic extension and empirical test[J].Journal of Computer Information Systems,2008,30(4):17-26.
[4]HIRSCHMAN E,HOLBROOK M.Hedonic consumption:emerging concepts,methods and propositions[J].The Journal of Marketing,1982,46(3):92-101.
[5]翟姗姗,孙雪莹,李进华.基于社交体验的移动APP持续使用意愿研究--以网易云音乐为例[J].现代情报,2019(2):128-135.
[6]CHILDERS T L,CARR C L,PECK J,et al.Hedonic and utilitarian motivations for online retail shopping behavior[J].Journal of Retailing,2001,77(4):511-535.
[7]赵忠平.移动游戏用户使用意愿影响因素分析[D].北京:北京邮电大学,2012.
[8]BHATTACHERJEE A V.A simple model of herd behavior[J].The Quarterly Journal of Economics,1992,107(3):797-817.
[9]胡赫男,吴世农.我国基金羊群行为:测度与影响因素[J].经济学家,2006(6):116-125.
[10]OBERHOLZER-GEE F.Non-employment stigma as rational herding:a field experiment[J].Journal of Economic Behavior and Organization,2008,65(1):30-40.
[11]CHEN Y.Herd behavior in purchasing books online[J].Computers in Human Behavior,2008,24(5):1977-1992.
[12]CHIU C M,HSU M H,LAI H,et al.Re-examining the influence of trust on online repeat purchase intention:the moderating role of habit and its antecedents[J].Decision Support Systems,2012,53(4):835-845.
[13]VERPLANKEN B,AARTS H,KNIPPENBERG A D.Habit,information acquisition,and the process of making travel mode choices[J].European Journal of Social Psychology,1997(27):539-560.
[18]AARTS H,VERPLANKEN B,KNIPPENBERG A V.Predicting behavior from actions in the past:repeated decision making or a matter of habit[J].Journal of Applied Social Psychology,1998,28(15):1355-1374.
[15]陈明红,漆贤军,刘莹.移动图书馆持续使用意向及习惯的调节作用[J].情报科学,2016(1):125-132.
[16]LANDIS D,TRIANDIS H,ADAMOPOULOS J.Habit and behavioral intentions as predictors of social behavior[J].Journal of Social Psychology,1978,106(2):227-237.
[17]KIM G S,PARK S B,OH J.An examination of factors influencing consumer adoption of short message service(SMS)[J].Psychology and Marketing,2008(25):769-786.
[18]LIN T C,WU S,HSU J S C,et al.The integration of value-based adoption and expectation-confirmation models:an example of IPTVcontinuance intention[J].Decision Support Systems,2012,54(1):63-75.
[19]KANG Y S,LEE H.Understanding the role of an IT artifact in online service continuance:an extended perspective of user satisfaction[J].Computers in Human Behavior,2010,26(3):353-364.
[20]THONG J Y L,HONG S J,TAM K Y.The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance[J].International Journal of Human-Computer Studies,2006,64(9):799-810.
[21]KIM B.An empirical investigation of mobile data service continuance:incorporating the theory of planned behavior into the expectation-confirmation model[J].Expert Systems with Applications,2010,37(10):7033-7039.
[22]AGRIFOGLIO R,BLACK S,METALLO C,et al.Extrinsic versus intrinsic motivation in continued Twitter usage[J].Journal of Computer Information Systems,2015,53(1):33-41.
[23]SUN H.A longitudinal study of herd behavior in the adoption and continued use of technology[J].Management Information Systems Quarterly,2013(37):1013-1041.
[24]PARTHASARATHY M,BHATTACHERJEE A.Understanding postadoption behavior in the context of online services[J].Information Systems Research,1998(9):362-379.
[25]LIMAYEM M,HIRT S G,CHEUNG C M K.How habit limits the predictive power of intention:the case of information systems continuance[J].MIS Quarterly,2007,31(4):705-737.
[26]周中允.理解社会型虚拟世界中用户的持续参与:在“第二人生”中的探索研究和实证研究[D].合肥:中国科学技术大学,2010.
[27]CHEUNG C,LIMAYEM M.The role of habit in information systems continuance:examining the evolving relationship between intention and usage[C].2005 Proceedings of ICIS,2005:39.
[28]MOHAMED K,VANESSA L.Online consumer retention:contingent effects of online shopping habit and online shopping experience[J].European Journal of Information Systems,2007(16):780-792.
[29]KOUFARIS M.Applying the technology acceptance model and flow theory to online consumer behavior[J].Information Systems Research,2002,13(2):205-223.