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A. O'Cass, Tino Fenech (2003)
Web retailing adoption: exploring the nature of internet users Web retailing behaviourJournal of Retailing and Consumer Services, 10
D. Hoffman, T. Novak (1996)
Marketing in Hypermedia Computer-Mediated Environments: Conceptual FoundationsJournal of Marketing, 60
I. Ajzen (1991)
The theory of planned behaviorOrganizational Behavior and Human Decision Processes, 50
Gary Hackbarth, V. Grover, M. Yi (2003)
Computer playfulness and anxiety: positive and negative mediators of the system experience effect on perceived ease of useInf. Manag., 40
V. Venkatesh, Fred Davis (2000)
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field StudiesManagement Science, 46
D. Hoffman, T. Novak, M. Peralta (1999)
Building consumer trust onlineCommun. ACM, 42
Judy Lin, Hsi-Peng Lu (2000)
Towards an understanding of the behavioural intention to use a web siteInt. J. Inf. Manag., 20
M. Fishbein, I. Ajzen (1977)
Belief, Attitude, Intention, and Behavior: An Introduction to Theory and ResearchContemporary Sociology, 6
S. Akinci, Ş. Aksoy, Eda Atilgan (2004)
Adoption of Internet banking among sophisticated consumer segments in an advanced developing countryInternational Journal of Bank Marketing, 22
D. Mackinnon, C. Lockwood, J. Hoffman, S. West, V. Sheets (2002)
A comparison of methods to test mediation and other intervening variable effects.Psychological methods, 7 1
Vichuda Polatoglu, S. Ekin (2001)
An empirical investigation of the Turkish consumers’ acceptance of Internet banking servicesInternational Journal of Bank Marketing, 19
D.L. Hoffman, T.P. Novak, M. Peralta
Building customer trust online
J. Moon, Young-Gul Kim (2000)
Extending the TAM for a World-Wide-Web contextInf. Manag., 38
M. Igbaria, S. Parasuraman, J. Baroudi (1996)
A Motivational Model of Microcomputer UsageJ. Manag. Inf. Syst., 13
A. Barua, R. Chellappa, Andrew Whinston (1995)
Creating a collaboratory in cyberspace: Theoretical foundation and an implementationJ. Organ. Comput., 5
Hubertus Brandner, Stefan Lessmann, Stefan Voss (2005)
AIS Electronic Library (AISeL)
C. Keen, Martin Wetzels, K. Ruyter, R. Feinberg (2004)
E-tailers versus retailersJournal of Business Research, 57
R. Baron, D. Kenny (1986)
The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations.Journal of personality and social psychology, 51 6
KENNETH YANG (2005)
Exploring factors affecting the adoption of mobile commerce in SingaporeTelematics Informatics, 22
I. Ajzen, M. Fishbein (1977)
Attitude-behavior relations: A theoretical analysis and review of empirical research.Psychological Bulletin, 84
V. Venkatesh, Fred Davis (1996)
A Model of the Antecedents of Perceived Ease of Use: Development and Test†Decision Sciences, 27
Anthony Hendrickson, Michael Collins (1996)
An assessment of structure and causation of IS usageData Base, 27
D. Mackinnon, C. Lockwood, Jason Williams (2004)
Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling MethodsMultivariate Behavioral Research, 39
F.D. Davis
Perceived usefulness, perceived ease of use and user acceptance of computer technology
Lei-da Chen, M. Gillenson, Daniel Sherrell (2002)
Enticing online consumers: an extended technology acceptance perspectiveInf. Manag., 39
M. Igbaria, N. Zinatelli, Paul Cragg, A. Cavaye (1997)
Personal Computing Acceptance Factors in Small Firms: A Structural Equation ModelMIS Q., 21
H. Çeli̇k, Isa Ipcioglu (2006)
GÖNÜLLÜ TEKNOLOJİ KABULÜ: İNTERNET KULLANIMINI BENİMSEME DAVRANIŞI ÜZERİNE BİR ARAŞTIRMA, 24
V. Mitchell (1999)
Consumer perceived risk: conceptualisations and modelsEuropean Journal of Marketing, 33
V. Lai (1994)
A survey of rural small business computer use: Success factors and decision supportInf. Manag., 26
Walfried Lassar, C. Manolis, Sharon Lassar (2005)
The relationship between consumer innovativeness, personal characteristics, and online banking adoptionInternational Journal of Bank Marketing, 23
I. Ajzen, B. Driver (1991)
Prediction of leisure participation from behavioral, normative, and control beliefs: An application of the theory of planned behaviorLeisure Sciences, 13
Bernadette Szajna (1996)
Empirical evaluation of the revised technology acceptance modelManagement Science, 42
Chi Yiu, K. Grant, D. Edgar (2007)
Factors affecting the adoption of Internet Banking in Hong Kong - implications for the banking sectorInt. J. Inf. Manag., 27
V. Venkatesh, Michael Morris, G. Davis, Fred Davis (2003)
User Acceptance of Information Technology: Toward a Unified ViewInstitutions & Transition Economics: Microeconomic Issues eJournal
S. Jarvenpaa, P. Todd (1996)
Consumer Reactions to Electronic Shopping on the World Wide WebInt. J. Electron. Commer., 1
W.W. Chin, A. Gopal
Adoption intention in GSS: importance of beliefs
Kristopher Preacher, A. Hayes (2004)
SPSS and SAS procedures for estimating indirect effects in simple mediation modelsBehavior Research Methods, Instruments, & Computers, 36
Terry Childers, Christopher Carr, J. Peck, Stephen Carson (2001)
HEDONIC AND UTILITARIAN MOTIVATIONS FOR ONLINE RETAIL SHOPPING BEHAVIORJournal of Retailing, 77
Ritu Agarwal, J. Prasad (1999)
Are Individual Differences Germane to the Acceptance of New Information TechnologiesDecision Sciences, 30
Mark Dishaw, D. Strong (1999)
Extending the technology acceptance model with task-technology fit constructsInf. Manag., 36
R. Vallerand (1997)
Toward A Hierarchical Model of Intrinsic and Extrinsic MotivationAdvances in Experimental Social Psychology, 29
Barry Babin, William Darden, Mitch Griffin (1994)
Work and/or Fun: Measuring Hedonic and Utilitarian Shopping ValueJournal of Consumer Research, 20
Patrick Chau, P. Hu (2002)
Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theoriesInf. Manag., 39
C. Keen, Martin Wetzels, J. Ruyter, R. Feinberg (2004)
The Impact of Electronic Commerce as a Mode of Product Purchase on Consumer Retail Shopping AlternativesJournal of Business Research, 57
M.S. Featherman, P.A. Pavlou
Predicting e‐services adoption: a perceived risk perspective
Siu-cheung Chan, Ming-te Lu (2004)
Understanding Internet Banking Adoption and Use Behavior: A Hong Kong PerspectiveJ. Glob. Inf. Manag., 12
Wynne Chin, A. Gopal (1995)
Adoption intention in GSS: relative importance of beliefsData Base, 26
Dennis Adams, R. Nelson, P. Todd (1992)
Perceived Usefulness, Ease of Use, and Usage of Information Technology: A ReplicationMIS Q., 16
Daniel McFarland, D. Hamilton (2006)
Adding contextual specificity to the technology acceptance modelComput. Hum. Behav., 22
Thompson Teo, V. Lim, R. Lai (1999)
Intrinsic and extrinsic motivation in Internet usageOmega-international Journal of Management Science, 27
A. Higgs
Banks embrace e‐commerce: the financial sector is a major driver in Turkey's internet revolution
Deborah Compeau, C. Higgins (1995)
Application of Social Cognitive Theory to Training for Computer SkillsInf. Syst. Res., 6
M. Igbaria, T. Guimaraes, G. Davis (1995)
Testing the Determinants of Microcomputer Usage via a Structural Equation ModelJ. Manag. Inf. Syst., 11
I. Maignan, B. Lukas (1997)
The Nature and Social Uses of the Internet: A Qualitative Investigation.Journal of Consumer Affairs, 31
J. Webster, Joseph Martocchio (1995)
The Differential Effects of Software Training Previews on Training OutcomesJournal of Management, 21
Kieran Mathieson (1991)
Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned BehaviorInf. Syst. Res., 2
Fred Davis (1989)
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information TechnologyMIS Q., 13
S. Jarvenpaa, N. Tractinsky, M. Vitale (2000)
Consumer trust in an Internet storeInformation Technology and Management, 1
V. Venkatesh (2000)
Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance ModelInf. Syst. Res., 11
S. Hung, C. Ku, Chia-Ming Chang (2003)
Critical factors of WAP services adoption: an empirical studyElectron. Commer. Res. Appl., 2
A. Çelik
İnternet Bankacılığı: Uygulamalar ve Bankacılığın Geleceğindeki Muhtemel Etkileri
Bomil Suh, Ingoo Han (2002)
Effect of trust on customer acceptance of Internet bankingElectron. Commer. Res. Appl., 1
S. Liaw (2002)
Understanding user perceptions of World-wide web environmentsJ. Comput. Assist. Learn., 18
Shirley Taylor, P. Todd (1995)
Understanding Information Technology Usage: A Test of Competing ModelsInf. Syst. Res., 6
Fred Davis, R. Bagozzi, P. Warshaw (1992)
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1Journal of Applied Social Psychology, 22
V. Venkatesh (1999)
Creation of Favorable User Perceptions: Exploring the Role of Intrinsic MotivationMechanical Engineering eJournal
S. Chan, M. Lu
Understanding internet adoption and use behavior: a Hong Kong perspective
Elena Karahanna, D. Straub (1999)
The psychological origins of perceived usefulness and ease-of-useInf. Manag., 35
D. Straub (1989)
Validating Instruments in MIS ResearchMIS Q., 13
L. Cunningham, J. Gerlach, Michael Harper (2005)
Perceived risk and e-banking services: An analysis from the perspective of the consumerJournal of Financial Services Marketing, 10
M. Montoya-Weiss, Glenn Voss, Dhruv Grewal (2003)
Determinants of online channel use and overall satisfaction with a relational, multichannel service providerJournal of the Academy of Marketing Science, 31
Murat Atintas, N. Gursakal (2007)
Phishing Attacks and Perceptions of Service Quality: A Content Analysis of Internet Banking in TurkeyThe Journal of Internet Banking and Commerce, 12
Z. Liao, M. Cheung (2002)
Internet-based e-banking and consumer attitudes: an empirical studyInf. Manag., 39
V. Venkatesh, Michael Morris (2000)
Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage BehaviorWGSRN: Gender Equality
Shirley Taylor, P. Todd (1995)
Assessing IT usage: the role of prior experienceManagement Information Systems Quarterly, 19
Julian Cheng, Gwo-Ji Sheen, G. Lou (2006)
Consumer acceptance of the internet as a channel of distribution in Taiwan—a channel function perspectiveTechnovation, 26
Robin Horton, Tamsin Buck, P. Waterson, C. Clegg (2001)
Explaining intranet use with the technology acceptance modelJournal of Information Technology, 16
Ritu Agarwal, Elena Karahanna (2000)
Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology UsageMIS Q., 24
D. Littler, Demetris Melanthiou (2006)
Consumer perceptions of risk and uncertainty and the implications for behaviour towards innovative retail services: The case of Internet BankingJournal of Retailing and Consumer Services, 13
Weiyin Hong, J. Thong, Wai-Man Wong, K. Tam (2002)
Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System CharacteristicsJournal of Management Information Systems, 18
Ali Yakhlef (2001)
Does the Internet compete with or complement bricks‐and‐mortar bank branches?International Journal of Retail & Distribution Management, 29
D. Gefen, D. Straub (1997)
Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance ModelMIS Q., 21
Hung-Pin Shih (2004)
An empirical study on predicting user acceptance of e-shopping on the WebInf. Manag., 41
Purpose – The purpose of this article is to provide an insight into the determinants of customers' internet banking (IB) acceptance. Therefore, it attempts to address a research need for extending the technology acceptance model (TAM) by adding contextual factors for IB case. Design/methodology/approach – A research model reflecting the effects of perceived risk (PR), perceived playfulness (PPL) and perceived behavioral control (PBC) on TAM constructs is proposed. The partial least squares (PLS) procedure is used to analyze 161 cases collected from individual IB users through a web‐based survey. Findings – The results indicate that perceived usefulness (PU) and perceived ease of use (PEOU) are immediate direct determinants of customers' attitudes towards using IB (ATT). PU, PR and ATT determine the large proportion of behavioral intentions to use IB (BI). Although PPL positively influences only PEOU, PBC exerts positive direct effects on PEOU and PU and indirect effects on PU and ATT. Research limitations/implications – The study findings were obtained from the single snapshot research, the small data set covering only active e‐mail users and the participants' self‐reports about BI. Therefore, the future research should carry a longitudinal nature to show the temporal change effects, remedy the possibility of self‐selection bias with a broader research sample and validate the IB usage externally instead of self‐reported BI. Originality/value – This study supplies the valuable information for researchers and practitioners about the effects of PR, PPL and PBC on IB adaptation behavior of Turkish customers. Furthermore, the study reveals that extended TAM could be used to provide a solid theoretical foundation of IB acceptance case.
International Journal of Bank Marketing – Emerald Publishing
Published: Jul 25, 2008
Keywords: Virtual banking; Risk analysis; Least square approximation; Turkey
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