An investigation of consumer acceptance of M-Banking in Australia

Mobile phone banking (M-Banking) adoption around the world has been slow, and this has been perpetuated by the limited research that has been undertaken in the area. To address this gap, the study developed a model of antecedents to consumers' intention to sue M-Banking using attitudinal theory as a framework. To test the model, a quantitative web-based survey was undertaken with 314 respondents. The findings show that perceived usefulness, compatibility, perceived risk, perceived cost and attitude are primary determinants of consumer acceptance of M-Banking in an Australian context, The research contributes to an enhanced understanding of the multiple antecedents beliefs to customer attitudes and usage intentions that must be considered when introducing technology into the service encounter.

[1]  Minna Mattila,et al.  Mobile banking and consumer behaviour: New insights into the diffusion pattern , 2004 .

[2]  J. R. Lang,et al.  Sample Composition Bias and Response Bias in a Mail Survey: A Comparison of Inducement Methods , 1980 .

[3]  Gi Mun Kim,et al.  Understanding dynamics between initial trust and usage intentions of mobile banking , 2009, Inf. Syst. J..

[4]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[5]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[6]  Kristina Heinonen,et al.  Acceptance of mobile services - insights from the Swedish market for mobile telephony , 2002 .

[7]  Pirkko Walden,et al.  Barriers and drivers in the adoption of current and future mobile services in Finland , 2007, Telematics Informatics.

[8]  E. Rogers Diffusion of Innovations , 1962 .

[9]  Margherita Pagani Determinants of adoption of third generation mobile multimedia services , 2004 .

[10]  G. Hofstede Culture′s Consequences: Comparing Values, Behaviors, Institutions and Organizations Across Nations , 2001 .

[11]  Paul A. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003, Int. J. Electron. Commer..

[12]  R. Bhagat Culture's Consequences: Comparing Values, Behaviors, Institutions, and Organizations Across Nations , 2002 .

[13]  Kun Chang Lee,et al.  Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean's model perspective , 2009, Interact. Comput..

[14]  M. R. Solomon,et al.  Consumer Behaviour: Buying, Having, Being , 2007 .

[15]  J. Farquhar,et al.  The more, the merrier? An exploratory study into managing channels in UK financial services , 2007 .

[16]  Stefan Baldi,et al.  The Entertaining Way to M-Commerce: Japan's Approach to the Mobile Internet - A Model for Europe? , 2002, Electron. Mark..

[17]  Bassam Hasan,et al.  Examining the Effects of Computer Self-Efficacy and System Complexity on Technology Acceptance , 2007, Inf. Resour. Manag. J..

[18]  Per E. Pedersen,et al.  Intentions to use mobile services: Antecedents and cross-service comparisons , 2005 .

[19]  Mohamed Khalifa,et al.  Explaining the adoption of transactional B2C mobile commerce , 2008, J. Enterp. Inf. Manag..

[20]  Erdener Kaynak,et al.  Retail bank marketing in Western Australia , 1999 .

[21]  Anastasios A. Economides,et al.  Evaluating mobile banking portals , 2009, Int. J. Mob. Commun..

[22]  Ioanna D. Constantiou,et al.  Exploring the influence of reference situations and reference pricing on mobile service user behaviour , 2006, Eur. J. Inf. Syst..

[23]  Sumeet Gupta,et al.  Value-based Adoption of Mobile Internet: An empirical investigation , 2007, Decis. Support Syst..

[24]  D. A. Kenny,et al.  The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. , 1986, Journal of personality and social psychology.

[25]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[26]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[27]  Tommi Laukkanen Customer preferred channel attributes in multi‐channel electronic banking , 2007 .

[28]  Jung-ki Lee,et al.  Effects of personal control on adoption of self‐service technology innovations , 2002 .

[29]  M.H.P. Kleijnen,et al.  Consumer acceptance of wireless finance , 2004 .

[30]  S. Laforet,et al.  CONSUMERS’ ATTITUDES TOWARDS ONLINE AND MOBILE BANKING IN CHINA , 2005 .

[31]  G. S. Mort,et al.  Marketing m-services: Establishing a usage benefit typology related to mobile user characteristics , 2005 .

[32]  Jukka Riivari,et al.  Mobile banking: A powerful new marketing and CRM tool for financial services companies all over Europe , 2005 .

[33]  Kristopher J Preacher,et al.  Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions , 2007, Multivariate behavioral research.

[34]  Yining Chen,et al.  Distance Learning Technology Adoption: A Motivation Perspective , 2002, J. Comput. Inf. Syst..

[35]  Bill Anckar,et al.  VALUE CREATION IN MOBILE COMMERCE: FINDINGS FROM A CONSUMER SURVEY , 2002 .

[36]  P. Hewer,et al.  Consumer attitude and the usage and adoption of home‐based banking in the United Kingdom , 2002 .

[37]  Aref A. Alashban,et al.  Customer adoption of tele‐banking technology:the case of Saudi Arabia , 2001 .

[38]  S. Olson,et al.  Selection of control groups by using a commercial database and random digit dialing. , 2000, American journal of epidemiology.

[39]  Fred D. Davis,et al.  Dead Or Alive? The Development, Trajectory And Future Of Technology Adoption Research , 2007, J. Assoc. Inf. Syst..

[40]  F. Conrad,et al.  Spacing, Position, and Order Interpretive Heuristics for Visual Features of Survey Questions , 2004 .

[41]  Chieh-Peng Lin,et al.  Gender differs: assessing a model of online purchase intentions in e‐tail service , 2005 .

[42]  Gary Hackbarth,et al.  Computer playfulness and anxiety: positive and negative mediators of the system experience effect on perceived ease of use , 2003, Inf. Manag..

[43]  P. A. Dabholkar,et al.  Integrating attitudinal theories to understand and predict use of technology‐based self‐service: The Internet as an illustration , 2001 .

[44]  D. Mackinnon Introduction to Statistical Mediation Analysis , 2008 .

[45]  M. Sobel Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models , 1982 .

[46]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[47]  Pratibha A. Dabholkar Role of Affect and Need For Interaction in On-Site Service Encounters , 1992 .

[48]  Shin-Yuan Hung,et al.  Critical factors of WAP services adoption: an empirical study , 2003, Electron. Commer. Res. Appl..

[49]  Per E. Pedersen,et al.  Adoption of Mobile Internet Services: An Exploratory Study of Mobile Commerce Early Adopters , 2005, J. Organ. Comput. Electron. Commer..

[50]  Myeong-Cheol Park,et al.  Mobile internet acceptance in Korea , 2005, Internet Res..

[51]  Tommi Laukkanen,et al.  Comparing Consumer Resistance to Mobile Banking in Finland and Portugal , 2008, ICETE.

[52]  J. Weerawardena,et al.  Gendered perceptions of experiential value in using web-based retail channels , 2007 .

[53]  B. Hourahine,et al.  Money on the move: Opportunities for financial service providers in the ‘third space’ , 2004 .

[54]  Sally Rao Hill,et al.  A Conceptual Framework and Propositions for the Acceptance of Mobile Services , 2007, J. Theor. Appl. Electron. Commer. Res..

[55]  M. Meuter,et al.  Self‐service technology adoption: comparing three technologies , 2005 .

[56]  Kristopher J Preacher,et al.  SPSS and SAS procedures for estimating indirect effects in simple mediation models , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[57]  Heikki Karjaluoto,et al.  Factors underlying attitude formation towards online banking in Finland , 2002 .

[58]  Shu Tian Cole Comparing Mail and Web-Based Survey Distribution Methods: Results of Surveys to Leisure Travel Retailers , 2005 .

[59]  K. Keeling,et al.  Using ZMET to explore barriers to the adoption of 3G mobile banking services , 2003 .

[60]  Jintae Lee,et al.  An end-user perspective on file-sharing systems , 2003, CACM.

[61]  Pratibha A. Dabholkar,et al.  Technology-based service delivery: A classification scheme for developing marketing strategies , 1994 .

[62]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[63]  Izak Benbasat,et al.  Interface design for mobile commerce , 2003, CACM.

[64]  Marke Kivijärvi,et al.  Innovation resistance among mature consumers , 2007 .

[65]  George Ioannou,et al.  Consumers’ perspectives on online banking services , 2006 .

[66]  Venkataraman Ramesh,et al.  Understanding usability in mobile commerce , 2003, CACM.

[67]  Kenneth C. C. Yang,et al.  Exploring factors affecting the adoption of mobile commerce in Singapore , 2005, Telematics Informatics.

[68]  R. Bagozzi,et al.  An attitudinal model of technology-based self-service: Moderating effects of consumer traits and situational factors , 2002 .

[69]  Margaret Jackson,et al.  Australian Case Studies in Mobile Commerce , 2007, J. Theor. Appl. Electron. Commer. Res..

[70]  Paul G. Patterson,et al.  Services marketing : an Asia-Pacific and Australian perspective , 2004 .

[71]  Peter Meso,et al.  Towards a model of consumer use of mobile information and communication technology in LDCs: the case of sub‐Saharan Africa , 2005, Inf. Syst. J..

[72]  M.H.P. Kleijnen,et al.  Consumer adoption of wireless services: Discovering the rules, while playing the game , 2004 .

[73]  Ioanna D. Constantiou,et al.  Exploring perceptions and use of mobile services: user differences in an advancing market , 2006, Int. J. Mob. Commun..

[74]  Mary Jo Bitner,et al.  Self-Service Technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters , 2000 .

[75]  Paul Pavlou,et al.  Consumer Intentions to Adopt Electronic Commerce - Incorporating Trust and Risk in the Technology Acceptance Model , 2001 .

[76]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[77]  Earl Chrysler,et al.  Entry Level Value versus Career Value of Mis Courses: Faculty Expectations versus Alumni Perceptions , 2002, J. Comput. Inf. Syst..

[78]  Pin Luarn,et al.  Predicting consumer intention to use mobile service , 2006, Inf. Syst. J..

[79]  G. Holmbeck Toward terminological, conceptual, and statistical clarity in the study of mediators and moderators : examples from the child-clinical and pediatric psychology literatures , 1997 .

[80]  Jinwoo Kim,et al.  What's so different about the mobile Internet? , 2003, CACM.

[81]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[82]  Pin Luarn,et al.  AIS Electronic Library (AISeL) , 2017 .

[83]  K. Williamson,et al.  Understanding Consumer Adoption of Internet Banking: An Interpretive Study in the Australian Banking Context , 2006 .

[84]  Steven M. Edwards,et al.  Internet Diffusion in Japan: Cultural Considerations , 2002, Journal of Advertising Research.

[85]  Tommi Laukkanen,et al.  Internet vs mobile banking: comparing customer value perceptions , 2007, Bus. Process. Manag. J..

[86]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[87]  Chih-Chien Wang,et al.  Extending the technology acceptance model to mobile telecommunication innovation: The existence of network externalities , 2008 .

[88]  James H. Gerlach,et al.  A comparison of consumer views of traditional services and self‐service technologies , 2009 .

[89]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[90]  P. A. Dabholkar Consumer evaluations of new technology-based self-service options: An investigation of alternative models of service quality , 1996 .