用户接受网上银行影响因素及管理策略研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
本文基于技术接受模型,考虑网上银行应用的特殊性,对传统的技术接受模型进行修正和扩展,增加了新的影响变量和逻辑关系,得到新的理论模型。首先以有互联网使用经验的人群作为调查对象。研究结果表明:网上银行信任水平程度和感知有用性、感知易用性一起对网上银行使用态度产生正向影响;对感知安全水平、网上银行了解程度对网上银行信任程度产生正向影响;计算机自我效能以及互联网连接对感知易用性产生正向影响;自我效能和互联网连接质量通过感知易用性对网上银行使用态度产生间接影响,感知安全水平、网上银行了解程度通过信任水平对网上银行产生间接影响。本文还通过定性研究发现,在用户使用网上银行的不同阶段,其接受、使用网上银行的影响因素存在差异。在理论研究及实证研究的基础上,从感知易用性、感知有用性等多个角度,系统提出提升银行用户对网上银行平台接受程度以及使用程度的管理策略。
From the perspective of the special nature of the online banking application, thispaper, based on technology acceptance model, corrects and extends the traditionaltechnology acceptance model to get a new theoretical model in which newantecedents are introduced, and some relationship of different variables areadjusted.We select people with internet experience as our research object, Analysisresult shows that: the level of trust,perceived usefulness and perceived ease of usehave positive impacts on attitude to online banking; degree of security and privacyprotection, understanding of online banking and social impact have positive impactson online banking trust; computer self-efficacy and quality of Internet connectionhave positive impacts on perceived ease of use; Self-efficacy and quality of Internetconnection have mediating impact on attitude of online bank through perceived easeof use, and perceived safety and understanding about online bank have mediatingeffect on attitude through trust. Additionally, we conduct a qualitive study and findthat the influencing factors are different from each other in different period.According to theoretical and empirical research results, the methods for improvingonline banking acceptance are discussed from following perspectives: perceived easeof use, perceived usefulness, and so on.
引文
[1] Agarwal, R.&Prasad, J. The antecedents and consequents of user perceptions ininformation technology adoption [J]. Decision Support Systems,1998,22(1):15-29.
    [2] Agarwal, R., Prasad, J. Are individual differences germane to the acceptance of newinformation technologies?[J] Decision Sciences,1999,(2),361-391.
    [3] Agarwal, R.,&Venkatesh, V. Assessing a firm’s web presence: A heuristic evaluationprocedure for the measurement of usability [J]. Information Systems Research,2002,13(2):168-186.
    [4] Ajzen, I.&Fishbein, M. Understanding attitudes and predicting social behavior[M],Englewood Cliffs, NJ: Prentice Hall,1980.
    [5] Ajzen, I. The theory of planned behavior [J]. Organizational behavior and human decisionprocesses,1991,50(2):179-211.
    [6] Ajzen, I. From intentions to actions: a theory of planned behavior, action control: fromcognition to behavior[M].Springer Verlag, New York,1985:11-39
    [7] Almogbil, A. Security, perceptions, and practices: challenges facing adoption of onlinebanking in Saudi[D]. Unpublished Ph.D. Thesis, George Washington University,Washington.2005.
    [8] Alsajjan, B. Dennis, C. The impact of trust on acceptance of online banking. in: Europeanassociation of education and research in commercial distribution[M], Brunel University,West London, United Kingdom,2006,6:27-30
    [9] Al-Somali, S. Gholami, R. Clegg, B. An investigation into the acceptance of onlinebanking in Saudi Arabia [J]. Technovation,2009,29:130-141.
    [10] Al-Khaldi, M.A. Al-Jabri, I.M.The relationship of attitudes to computer utilization: newevidence from a developing nation [J], Computers in Human Behavior,1998,14(1):23-42.
    [11] Anandarajan, M. Igbariam, U.P. Anakwe, IT acceptance in a less-developed country: amotivational factor perspective [J], International Journal of Information Management.2002,22(1):47-65.
    [12] Bailey, J.E. Pearson, S.W. Development of a tool formeasuring and analysing computeruser satisfaction [J], Management Sciences,1983,29(5):530-545.
    [13] Baner,K. Hein,S.E. The effect of heterogeneous risk on the early adoption of Internetbanking technologies[J]. Jounal of Banking and Finance,2006,30(6):1713-1725.
    [14] Baron R, Kenny D. The moderator-mediator variable distinction in social psychologicalresearch: Conceptual, strategic, and statistical considerations [J]. Journal of Personalityand Social Psychology,1986,51,(6):1173-1182
    [15] Bontempo R N. Rivero J C. Cultural variation in cognition: The rote of self-concept andthe attitude-behavior link. Unpublished manuscript,1990.
    [16] Borsboom,D.,Mellenbergh,G. J. and Van Heerden,J. The Conept of Validity,Psychological Review,2004,111:1061-1071.
    [17] Chau, P. Y. K.,&Hu, P. J. H. Investigating healthcare professionals’ decisions to accepttelemedicine technology: An empirical test of competing theories [J]. Information&Management,2002,39(4),297–311.
    [18] Cheng,T.C.E. Lam,D.Y.C.&Yeung,A.C.L. Adoption of internet barking: An empiricalstudy in Hong Kong [J]. Decision Support Systems,2006,42(3):1558-1579.
    [19] Cheney, P.H. Mann, R.I. Amoroso, D.L.Organizational factors affecting the success ofend-user computing [J], Journal of Management Information Systems III,1986,(1):65–80.
    [20] Daniel, E. Provision of electronic banking in the UK and the Republic of Ireland [J].International Journal of Bank Marketing,1999,17(2):72-82.
    [21] DishawM.T. StrongD.M. Extending the technology acceptance model withtask-technology fit constructs[J]. Information and Management,1999,36(1):9-21.
    [22] Davis, F. D. Perceived usefulness, perceived ease of use, and user acceptance ofinformation technology [J], MIS Quarterly,1989,13:319-340
    [23] Davis, F.D. Bagozzi, R.P. Warshaw, P.R. User acceptance of computer technology: acomparison of two theoretical models [J], Management Science,1989,35(8):982-1003.
    [24] Davis, F. D. A technology acceptance model for empirically testing new enduserinformation systems: Theory and results[M]. Doctoral dissertation, Sloan School ofManagement, Massachusetts Institute of Technology, Cambridge, MA.1986.
    [25] Davis, F. D.,&Venkatesh, V. A critical assessment of potential measurement biases in thetechnology acceptance model: Three experiments [J]. International Journal ofHuman–Computer Studies,1996,45(1),19-45.
    [26] Devaraj, S., Fan, M.,&Kohli, R. Antecedents of B2C channel satisfaction and preference:Validating e-commerce metrics [J]. Information Systems Research,2002,13(3),316-333.
    [27] Eid,M. A Multitrait-multimethod Model with Minimal Assumptions,Psychometrika,2000,65:241-261.
    [28] Eisenhardt, K. M.Building Theories from Case Study Research. Academy of ManagementReview,1989,14(4):532-550.
    [29] Eisenhardt, K. M.&Graebner, M. E.Theory Building from Cases: Opportunities andChallenges. Academy of Management Journal,2007,50(1):25-32
    [30] Elsbach K.D.The Case for Case Study Research.中国企业管理案例论坛(2010)暨第四届中国人民大学管理论坛专题报告.2010.
    [31] Featherman, M. S.,&Pavlou, P. A. Predicting e-services adoption: A perceived risk facetsperspective. International Journal of Human–Computer Studies,2003,59(4),451-474.
    [32] Gefen, D.. E-commerce: The Role of Familiarity and Trust.Omega,2000,28(6):725-737.
    [33] Gefen, D., Karahanna, E., Straub, D.W.. Trust and TAM in Online Shopping: AnIntegrated Model. MIS Quarterly,2003,27(1):51-90.
    [34] Gelderman, M. The relation between user satisfaction, usage of information systems andperformance [J], Information&Management,1998,34(1):11-18.
    [35] Giglio, V. Privacy in the world of cyberbanking: emerging legal issues and how you areprotected, The Secured Lender, March/April,2002:48-60.
    [36] Glanz., K.,Barbara Rimer.,K. Viswanath.,K.Health behavior and health education:Theory,research,and practice[M].Jossey-Bass,2008.
    [37] Henderson, R. Divett, M.J. Perceived usefulness, ease of use and electronic supermarketuse [J], International Journal of Human-Computer Studies,2003,59(3):383–395.
    [38] Hsu, C. L.,&Lu, H. P. Why do people play on-line games? An extended TAM withsocial influences and flow experience [J]. Information&Management,2004,41(7):853-868.
    [39] Igbaria, M; Gusmaraes, T. Davis, G. B. Testing the determinants of microcomputer usagevia a structural equation model [J]. Journal of Management Information System; Spring,1995,11(4):87.
    [40] Igbaria, M; Iivari, J. The effects of self-efficacy on computer usage [J]. Omega.1995,23(6):587-605.
    [41] Igbaria, M., Zinatelli, N., Cragg, P.,&Cavaye, A. L. M..Personal computing acceptancefactors in small firms: A structural equation model [J]. MIS Quarterly,1997,21(3):279-305.
    [42] Igbaria, M; Iivari, J; Maragahh, H. Why do individuals use computer technology? AFinnish case study [J]. Information&Management1995,29:227-238
    [43] Judd C, Kenny D. Process Analysis: Estimating Mediation in Treatment Evaluations [J].Evaluation Review, October1981,5(5):602-619
    [44] Karjaluoto, H., Koivuma, ki, T. and Salo, J. Individual differences in private banking:empirical evidence from Finland, Proceedings of the36th Hawaii International Conferenceon System Sciences (HICSS), Big Island, Hawaii,2003:196.
    [45] Kolodinsky, J.M., Hogarth,J.M., Hilgert,M.A. The adoption of electronic bankingtechnologies by US consumers[J]. Marketing,2004,22(4):238-259.
    [46] Koufaris, M.(2002). Applying the technology acceptance model and flow theory to onlineconsumer behavior [J]. Information Systems Research,13(2),205-223.
    [47] Laforet,S., Li,X. Consumers’ attitudes towards online and mobile banking in China[J].The Intemational Joumal of Bank Marketing,2005,23(4/5):362-380.
    [48] Lee C, Green R T. Cross-cultural examination of the Fishbein behavioral intentions model[J]. Journal of Intemational Business Studies.1991,22:289~305。
    [49] Lee., M.C. Factors influencing the adoption of internet banking: An integration of TAMand TPB with perceived risk and perceived benefit [J].Electronic Commerce Research andApplications.2009(8):130-141.
    [50] LegrisP., InghamJ., Collerette,P. Why do People use information technology? A criticalReview of the technology acceptance model[J]. Information&Management,2003,40(3):191-204.
    [51] Liao,Z., Cheung,M.T. Internet-based e-banking and consumer attitudes: an empiricalstudy[J]. Information&Management,2002,39(4):283-295.
    [52] Lim, H., Lee, S. G.,&Nam, K.Validating e-learning factors affecting trainingeffectiveness [J]. International Journal of Information Management,2007,27(1),22-35.
    [53] Lin, A.(2006). The acceptance and use of a business-to-business information system[J].International Journal of Information Management,26(5),386-400.
    [54] Lin, J. C. C.,&Lu, H. P. Towards an understanding of the behavioural intention to use aweb site [J]. International Journal of Information Management,2000,20(3):197-208.
    [55] Mao, E. Srite, M. Thatcher, J.B. Yaprak, O.A research model for mobile phone servicebehaviors: empirical validation in the U.S. and Turkey [J], Journal of Global InformationTechnology Management,2005,8(4):7–28.
    [56] Mathieson,K., Predicting user intentions: comparing the technology acceptance modelwith the theory of planned behavior[J]. Information Systems Research,1999,2(3):173-191.
    [57] Mattila,M., Karjaluoto,H., Pento,T. Internet banking adoption among mature customers:early majority or laggards?[J]. Journal of Services Marketing,2003,17(5):514-528.
    [58] Mayer, R. C., Davis, J. H., Schoorman, F. D.. An Integrative Model of OrganizationalTrust. Academy of Management Review,1995,20(3):709-734.
    [59] McKechnie,S., Winklhofer,H.&Ennew,C. AppIying the technology Acceptance model tothe online retailing of financial services[J]. International Jounal of Retail&DistributionManagement,2006,34(4/5):388-410.
    [60] Mols, N.P.,Bukh, P.N.D. and Nielsen, J.F. Distributionchannel strategies in Danish retailbanking [J], InternationalJournal of Retail&Distribution Management,1999,27(1):37-47.
    [61] Monsuwe,T.P., Perea,T.,Dellaert,B.G.,Ruyter,K.D.What drives consumer stoshop online?A literature review [J]. International Journal of Service Industry Management.2004,15(1):102-121.
    [62] Moore,G.C. Benbasat, I. Development of an Instrument to Measure the Perceptions ofAdopting an Information Technology Innovation[J]. Information systems research,1991,(9):192-222.
    [63] Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., Pahnila, S. Consumer acceptance ofonline banking: an extension of the technology acceptance model [J], Internet Research,2004,14(3):224-235.
    [64] Pavlou, P.A. Consumer acceptance of electronic commerce: integrating trust and risk withthe technology acceptance model [J], International Journal of Electronic Commerce,2003,7(3):101–134.
    [65] Pavlou, P. A.,&Fygenson, M. Understanding and predicting electronic commerceadoption: An extension of the theory of planned behavior [J]. MIS Quarterly,2006,30(1),115–143.
    [66] Pikkarainen,T. Consumer acceptance of online banking: an extension of the technologyacceptance model[J]. Internet Research,2004,14(3):224-235.
    [67] Pikkarainen,T. Pikkarainen,K. Karjaluoto,H. Consumer acceptance of online banking: anextension of the technology acceptance model [J]. Internet Research,2004,14(3):224-235
    [68] Podsakoff,P. M.,Ahearne,M. and MacKenzie,S. B. Organizational Citizenship Behaviorand the Quantity and Quality of Work Group Performance, Journal of Applied Psychology,1997,82(2):262-270.
    [69] Polatoglu,V.N. Ekin, S. An empirical investigation of the Turkish consumers' acceptanceof Internet banking services. International Journal of Bank Marketing,2001,19(4):156-165.
    [70] Prochaska J O, DiClemente C C. Toward a comprehensive model of change[M]. SpringerUS,1986.
    [71] Riemenschneider, C. K., Harrison, D. A.,&Mykytyn, P. P. Understanding IT adoptiondecisions in small business: Integrating current theories [J]. Information&Management,2003,40(4),269-285.
    [72] Ritu, A., Jayesh. Are individual differences germane to the acceptance of new informationtechnologies?[J] Decision Sciences,1999;30(2):361
    [73] Robertson, D.C. Social determinants of information systems use [J], Journal ofManagement Information Systems,1989,5(4):55-71.
    [74] Rogers,E.M.Diuffsion of lnnovations[M].FreePerss,Newyork,1983.
    [75] Rotchanakitumnuai,S.&Speece, M. Barriers to internet banking adoption: a qualitatinvestudy among corporate customers in Thailand[J]. The International Journal of BankingMarketing,2003,21(6):312-329.
    [76] Sobel M. E. Asymptotic Confidence Intervals for Indirect Effects in Structural EquationModels[M]. In: Leinhardt S.(ed.). Sociological Methodology. Washington, DC: AmericanSociological Association.1982:290-312
    [77] Sohail,M.S., Shanmugham,B. E-banking and customer preferences in Malaysia: Anempirical investigation[J]. Information Sciences,2003,150(3-4):207-217.
    [78] Sathye, M. Adoption of internet banking by Australian consumer: an empiricalinvestigation [J]. International Journal of Bank Marketing,1999,17(7):324-334.
    [79] Schneider, I. Is time running out for Internet-onlybanks?[J] Bank Systems&Technology,2001,9:8.
    [80] Suh, B. Han, I. Effect of trust on customer acceptance of Internet banking [J], ElectronicCommerce Research and Applications,2002,(3):247-263.
    [81] Taylor, S., Todd, P.A. Assessing IT usage: the role of prior experience [J]. MIS Quarterly,1995,19(4),561-570.
    [82] Van Raaij, E.M. Schepers, J.J.L.The acceptance and use of a virtual learning environmentin China[M], Computers&Education, in press, doi:10.1016/j.compedu.2006.09.001
    [83] Venkatesh V, Davis F D. A theoretica l extension of the technology acceptancem ode:lFour long itudinal field studies [J]. Management Science,2000,46(2):186-204.
    [84] Venkatesh V, MorrisM G, Dav is G B, et a l. User acceptance of information techno logy:Tow ard a un ified view[J]. MIS Quarterly,2003,27(3):425-478.
    [85] Venkatesh, V., Morris, M.G. Why do not men ever stop to ask for directions? Gender,social influence, and their role in technology acceptance and usage behaviour [J]. MISQuarterly,2000,24(1):115–139.
    [86] Venkatesh,V., Speier,C., Morris,M.G. User acceptance enablers in individual decisionmaking about technology: toward an integrated model[J].Decision Scienees,2002,33(2):297-316
    [87] Venkatesh, V.,&Brown, S. A. A longitudinal investigation of personal computers inhomes: Adoption determinants and emerging challenges [J]. MIS Quarterly,2001,25(1):71-102.
    [88] Venkatesh, V.,&Davis, F. D. A model of the antecedents of perceived ease of use:Development and test [J]. Decision Sciences,1996,27(3),451-481.
    [89] Venkatesh, V.,&Davis, F. D. A theoretical extension of the technology acceptance model:Four longitudinal field studies [J]. Management Science,2000,46(2):186–204.
    [90] Venkatesh, V.,&Morris, M. G. Why don’t men ever stop to ask for directions? Gender,social influence, and their role in technology acceptance and usage behavior [J]. MISQuarterly,2000,24(1):115-139.
    [91] Venkatesh, V., Morris, M. G., Davis, G. B.,&Davis, F. D.. User acceptance ofinformation technology: Toward a unified view [J]. MIS Quarterly,2003,27(3):425–478.
    [92] Wang, Y.S., Wang, Y.M., Lin, H.H., Tang, I. Determinants of user acceptance of internetbanking: an empirical study [J]. International Journal of Service Industry Management,2003,14(5):501–519
    [93] Wilkening E A. Change in farm technology as related to familism, family decision making,and family integration[J]. American Sociological Review,1954:29-37.
    [94] Yousafzai,S.Y., Pallister, J.G., Foxall,G.R. Strategies for building and communicatingtrust in electronic banking: A field experiment[J]. Psychology and Marketing,2005,22(2):181-201.
    [95] Yi, M. Y.,&Hwang, Y. J. Predicting the use of web-based information systems:Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model[J]. International Journal of Human–Computer Studies,2003,59(4):431–449.
    [96]常静、杨建梅,欧瑞秋.基于TAM的百度百科用户参与意向的影响因素研究[J].软科学,2010,12:34-37.
    [97]蔡志坚.农村信息化背景下农户技术接受模型及实证研究[J].科技进步与对策,2010,21:52-55.
    [98]代宝、刘业政.基于技术接受模型和感知流行性的SNS使用意愿研究[J].科技进步与对策,2012,24:47-51.
    [99]段文婷、江光荣.计划行为理论述评[J].心理科学进展,2008,16(2):315-320.
    [100]方针.用户信息技术接受的影响因素模型与实证研究[D].复旦大学,2005.
    [101]冯秀珍、马爱琴.基于TAM的虚拟团队信息沟通技术采纳模型研究[J].科学学研究,2009,05:765-769.
    [102]高芙蓉、高雪莲.国外信息技术接受模型研究述评[J].研究与发展管理,2011,23(2):95-105.
    [103]黄浩,刘鲁,王建军.基于TAM的移动内容服务采纳分析[J].南开管理评论,2008,06:42-47.
    [104]黄芳铭.结构方程模式:理论与应用.北京:中国税务出版社.2005,151
    [105]焦勇兵.顾客使用网上银行的前置因素研究—基于科技接受模型的观点[J].山西财经大学学报,2007,29(6):94-100.
    [106]林家宝、鲁耀斌、张金隆.基于TAM的移动证券消费者信任实证研究[J].管理科学,2009,05:61-71.
    [107]林家宝、鲁耀斌、章淑婷.网上至移动环境下的信任转移模型及其实证研究[J].南开管理评论,2010,(03):80-89.
    [108]鲁耀斌、徐红梅.技术接受模型及其相关理论的比较研究[J].科学进步与对策,2005,(10):176-178.
    [109]吕一林,郭文书,赵艳.基于技术接纳模型的顾客网络抱怨意向实证研究[J].经济管理,2009,02:144-149.
    [110]穆婷、王明明.网上银行用户体验影响因素探析[J].中国信息界,2012,(6):26-29.
    [111]苏勇、邓德香.基于TAM的信息技术与高科技主管知识分享绩效的实证研究[J].研究与发展管理,2011,04:29-34.
    [112]王雁飞、朱瑜.组织社会化与员工行为绩效——基于个人—组织匹配视角的纵向实证研究[J].管理世界,2012,05:109-124.
    [113]温忠麟、张雷、侯杰泰,刘红云.中介效应检验程序及其应用[J].心理学报.2004,36(5):614-620
    [114]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
    [115]温忠麟、张雷、侯杰泰、刘红云.中介效应检验程序及其应用[J].心理学报.2004,36(5):614-620
    [116]应洪斌、郭琳、窦伟.基于TTF和TAM整合视角的移动工作支持系统使用意向研究[J].管理工程学报,2012,04:176-182.
    [117]张红红,葛冬玲,相吉利.基于TAM模型的创新科技产品采用意愿研究[J].科技进步与对策,2010,18:86-90.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700