The role of information in mobile banking resistance

Purpose – Adopting technological service innovations entails substantial learning effort requiring information and guidance from the provider. The purpose of this paper is to investigate the effect of information and guidance offered by a bank on five adoption barriers – usage, value, risk, tradition, and image – in a mobile banking context.Design/methodology/approach – The measurement development and hypotheses were based on consumer resistance theory and the earlier literature on internet and mobile banking. A large empirical study on bank customers with 1,551 effective observations was conducted. The measure items were validated by measurement model and hypotheses were tested using structural equation modelling.Findings – The results show that the information and guidance offered by a bank has the most significant effect on decreasing the usage barrier, followed by image, value and risk barriers respectively. The information and guidance showed no effect on the tradition barrier.Originality/value – Thi...

[1]  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..

[2]  Tommi Laukkanen,et al.  Exploring the Factors Behind the Resistance to Mobile Banking in Portugal , 2009, Int. J. E Serv. Mob. Appl..

[3]  Tommi Laukkanen,et al.  Communication strategies to overcome functional and psychological resistance to Internet banking , 2009, Int. J. Inf. Manag..

[4]  Andrew M. Farrell,et al.  Insufficient Discriminant Validity: A Comment on Bove, Pervan, Beatty and Shiu (2009) , 2008 .

[5]  Tommi Laukkanen,et al.  Consumer resistance to internet banking: postponers, opponents and rejectors , 2008 .

[6]  Il Im,et al.  The effects of perceived risk and technology type on users' acceptance of technologies , 2008, Inf. Manag..

[7]  W. Poon.  USERS ADOPTION OF E-BANKING SERVICES: THE MALAYSIAN PERSPECTIVE , 2007 .

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

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

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

[11]  M. Speece,et al.  Satisfaction and dissatisfaction in service encounters , 2007 .

[12]  Tommi Laukkanen,et al.  Mapping the reasons for resistance to Internet banking: A means-end approach , 2007, Int. J. Inf. Manag..

[13]  Tommi Laukkanen,et al.  Measuring mobile banking customers' channel attribute preferences in service consumption , 2007, Int. J. Mob. Commun..

[14]  James F. Devlin,et al.  Why consumers are not using internet banking: a qualitative study , 2006 .

[15]  Heikki Karjaluoto,et al.  The measurement of end‐user computing satisfaction of online banking services: empirical evidence from Finland , 2006 .

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

[17]  Tommi Laukkanen,et al.  Consumer value creation in mobile banking services , 2005, Int. J. Mob. Commun..

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

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

[20]  Kristina Heinonen.  Time and Location as Customer Perceived Value Drivers , 2004 .

[21]  David B. Eastwood,et al.  A Two-Step Estimation of Consumer Adoption of Technology-Based Service Innovations , 2003 .

[22]  Thompson S. H. Teo,et al.  Adoption of WAP-enabled mobile phones among Internet users , 2003 .

[23]  S. Forsythe,et al.  Consumer patronage and risk perceptions in Internet shopping , 2003 .

[24]  Mary Jo Bitner,et al.  The influence of technology anxiety on consumer use and experiences with self-service technologies , 2003 .

[25]  Douglas Davies,et al.  Cell phone banking: predictors of adoption in South Africa - an exploratory study , 2003, Int. J. Inf. Manag..

[26]  Heikki Karjaluoto,et al.  Internet banking adoption among mature customers: early majority or laggards? , 2003 .

[27]  Keng Siau,et al.  Mobile communications and mobile services , 2003, Int. J. Mob. Commun..

[28]  Maria Sääksjärvi,et al.  Consumer adoption of technological innovations , 2003 .

[29]  Mark Speece,et al.  Satisfaction drivers for Internet service technology among stock brokerage customers in Thailand , 2002 .

[30]  Margaret Craig-Lees,et al.  Technology‐enabled service delivery: An investigation of reasons affecting customer adoption and rejection , 2002 .

[31]  Vallabh Sambamurthy,et al.  Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy - An Empirical Assessment , 2000, Inf. Syst. Res..

[32]  A. Parasuraman,et al.  Technology Readiness Index (Tri) , 2000 .

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

[34]  M. Sathye.  Adoption of Internet banking by Australian consumers: an empirical investigation , 1999 .

[35]  Mary Lou Roberts,et al.  Technology vs. Consumer Behavior: The Battle for the Financial Services Customer , 1997 .

[36]  Steve Dunphy,et al.  Acceptance of innovations: The customer is the key! , 1995 .

[37]  R. Kay.  An exploration of theoretical and practical foundations for assessing attitudes toward computers: The Computer Attitude Measure (CAM) , 1993 .

[38]  G. Prendergast,et al.  Consumer adoption of self-service technologies in retail banking: Is expert opinion supported by consumer research? , 1993 .

[39]  Subhash Sharma,et al.  Resistance to technological innovations: An examination of the role of self-efficacy and performance satisfaction , 1991 .

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

[41]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[42]  S. Ram.  Successful innovation using strategies to reduce consumer resistance: An empirical test , 1989 .

[43]  S. Ram,et al.  Consumer Resistance to Innovations: The Marketing Problem and its solutions , 1989 .

[44]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[45]  S. Ram.  A Model of Innovation Resistance , 1987 .

[46]  P. Wilton,et al.  Forecasting the Ultimate Acceptance of an Innovation: The Effects of Information , 1981 .

[47]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[48]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[49]  J. Sheth,et al.  Psychology of innovation resistance : the less developed concept (LDC) in diffusion research / BEBR No. 622 , 1979 .

[50]  J. Nunnally.  Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .

[51]  J. W. Taylor.  The role of risk in consumer behavior. , 1974 .

[52]  J. Hair.  Multivariate data analysis , 1972 .

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