International Journal of Information Management

Mobile banking (mBanking) enables customers to carry out their banking tasks via mobile devices. We advance the extant body of knowledge about mBanking adoption by proposing a model for understanding the importance and relationship between the user perception of mBanking, initial trust in mBanking services, and the fit between the technology and mBanking task characteristics. We synergistically combine the strengths of three IS theories - task technology fit (TTF) model, unified theory of acceptance and usage of technology (UTAUT), and initial trust model (ITM). The model was tested in a study conducted in Portugal, one of the European Union (EU) countries with the highest mobile phone adoption. Based on the sample of 194 individuals we applied partial least squares (PLS) to test the conceptual model propose. The path significance levels were estimated using the bootstrapping method (500 resamples). The study found that facilitating conditions and behavioral intentions directly influence mBanking adoption. Initial trust, performance expectancy, technology characteristics, and task technology fit have total effect on behavioral intention. The paper offers valuable insights to decision-makers involved in the implementation and deployment of mBanking services. For researchers, the paper highlights the usefulness of integrating TTF, UTAUT and ITM in the development of a decision support framework to study the adoption of new technologies.

[1]  Detmar W. Straub,et al.  A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..

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

[3]  Philip J. Hills,et al.  International Journal of Information Management , 2006, Int. J. Inf. Manag..

[4]  Diane M. Strong,et al.  Extending the technology acceptance model with task-technology fit constructs , 1999, Inf. Manag..

[5]  Gurpreet Dhillon,et al.  User Acceptance of Agile Information Systems: A Model and Empirical Test , 2011, J. Manag. Inf. Syst..

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

[7]  R. Brislin.  Back-Translation for Cross-Cultural Research , 1970 .

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

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

[10]  Tao Zhou,et al.  Integrating TTF and UTAUT to explain mobile banking user adoption , 2010, Comput. Hum. Behav..

[11]  Ying-Feng Kuo,et al.  Towards an understanding of the behavioral intention to use 3G mobile value-added services , 2009, Comput. Hum. Behav..

[12]  Hsing Kenneth Cheng,et al.  An empirical study of mobile commerce in insurance industry: Task-technology fit and individual differences , 2007, Decis. Support Syst..

[13]  Pauline Ratnasingham,et al.  The importance of trust in electronic commerce , 1998, Internet Res..

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

[15]  Sirkka L. Jarvenpaa,et al.  Consumer trust in an Internet store , 2000, Inf. Technol. Manag..

[16]  D. Gefen,et al.  E-commerce: the role of familiarity and trust , 2000 .

[17]  Kentaro Toyama,et al.  Mobile-Banking Adoption and Usage by Low-Literate, Low-Income Users in the Developing World , 2009, HCI.

[18]  Tao Zhou,et al.  Understanding mobile Internet continuance usage from the perspectives of UTAUT and flow , 2011 .

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

[20]  Tiago Oliveira,et al.  Determinants of end-user acceptance of biometrics: Integrating the "Big 3" of technology acceptance with privacy context , 2013, Decis. Support Syst..

[21]  C. Yu.  Factors Affecting Individuals to Adopt Mobile Banking: Empirical Evidence from the Utaut Model , 2012 .

[22]  Chu Shan,et al.  Trust Transference in Mobile Banking: An Investigation of the Initial Trust , 2009, 2009 IITA International Conference on Services Science, Management and Engineering.

[23]  June Lu,et al.  Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology , 2005, J. Strateg. Inf. Syst..

[24]  Sang-Chul Lee,et al.  Determinants of behavioral intention to mobile banking , 2009, Expert Syst. Appl..

[25]  Detmar W. Straub,et al.  Validation in Information Systems Research: A State-of-the-Art Assessment , 2001, MIS Q..

[26]  Sirkka L. Jarvenpaa,et al.  Is Anybody Out There? Antecedents of Trust in Global Virtual Teams , 1998, J. Manag. Inf. Syst..

[27]  Yi-Shun Wang,et al.  Investigating the determinants and age and gender differences in the acceptance of mobile learning , 2009, Br. J. Educ. Technol..

[28]  E. McKinney,et al.  Extending the Technology Acceptance Model and the Task-Technology Fit Model to Consumer E-Commerce , 2004 .

[29]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[30]  Paul Benjamin Lowry,et al.  Explaining and Predicting the Impact of Branding Alliances and Web Site Quality on Initial Consumer Trust of E-Commerce Web Sites , 2007, J. Manag. Inf. Syst..

[31]  A. Palmer,et al.  Predicting young consumers' take up of mobile banking services , 2010 .

[32]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[33]  Kyung Kyu Kim,et al.  Initial trust and the adoption of B2C e-commerce: The case of internet banking , 2004, DATB.

[34]  Yogesh Kumar Dwivedi,et al.  Contemporary trends and issues in IT adoption and diffusion research , 2009, J. Inf. Technol..

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

[36]  Marios Koufaris,et al.  The development of initial trust in an online company by new customers , 2004, Inf. Manag..

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

[38]  Angappa Gunasekaran,et al.  A review for mobile commerce research and applications , 2007, Decis. Support Syst..

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

[40]  Paul P. Tallon.  A Service Science Perspective on Strategic Choice, IT, and Performance in U.S. Banking , 2010, J. Manag. Inf. Syst..

[41]  Dale Goodhue,et al.  Understanding user evaluations of information systems , 1995 .

[42]  Jaeki Song,et al.  Dynamics of Trust Revision: Using Health Infomediaries , 2008, J. Manag. Inf. Syst..

[43]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[44]  Xin Luo,et al.  Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services , 2010, Decis. Support Syst..

[45]  Binshan Lin,et al.  Assessing user experiences and usage intentions of m-banking service , 2010, Int. J. Mob. Commun..

[46]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

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

[48]  Matthew K. O. Lee,et al.  A Trust Model for Consumer Internet Shopping , 2001, Int. J. Electron. Commer..

[49]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[50]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[51]  N. L. Chervany,et al.  Initial Trust Formation in New Organizational Relationships , 1998 .

[52]  Gianluca Miscione,et al.  Examining trust in mobile banking transactions: The case of M-PESA in Kenya , 2008, HCC.

[53]  Kenneth Kipyego Toroitich,et al.  Factors Affecting Individuals to Adopt Mobile Banking In Kenya : A Case of Kenya Commercial Bank ( K . C . B ) , Eldoret , 2016 .

[54]  L GoodhueDale,et al.  Task-technology fit and individual performance , 1995 .

[55]  Stuart J. Barnes,et al.  Mobile banking: concept and potential , 2003, Int. J. Mob. Commun..

[56]  Adrian B. Ryans.  Estimating Consumer Preferences for a New Durable Brand in an Established Product Class , 1974 .

[57]  Charles J. Kacmar,et al.  Shifting Factors and the Ineffectiveness of Third Party Assurance Seals: A Two-Stage Model of Initial Trust in a Web Business , 2004, Electron. Mark..

[58]  Marko Sarstedt,et al.  An assessment of the use of partial least squares structural equation modeling in marketing research , 2012 .

[59]  Kevin Grant,et al.  Big TAM in Oman: Exploring the promise of on-line banking, its adoption by customers and the challenges of banking in Oman , 2012, Int. J. Inf. Manag..

[60]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[61]  Tao Zhou,et al.  An empirical examination of continuance intention of mobile payment services , 2013, Decis. Support Syst..

[62]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[63]  Judy Drennan,et al.  An investigation of consumer acceptance of M-Banking in Australia , 2010 .

[64]  Matti Rossi,et al.  Mobile banking services , 2004, CACM.

[65]  Alexander Hars,et al.  Web Based Knowledge Infrastructures for the Sciences: An Adaptive Document , 2000, Commun. Assoc. Inf. Syst..

[66]  Alison Parkes,et al.  The effect of task-individual-technology fit on user attitude and performance: An experimental investigation , 2013, Decis. Support Syst..

[67]  Hsiu-Fen Lin,et al.  An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust , 2011, Int. J. Inf. Manag..

[68]  R. Tiwari,et al.  The Mobile Commerce Prospects. A Strategic Analysis of Opportunities in the Banking Sector , 2007 .

[69]  Charles J. Kacmar,et al.  Developing and Validating Trust Measures for e-Commerce: An Integrative Typology , 2002, Inf. Syst. Res..

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

[71]  Daniel L. Sherrell,et al.  Communications of the Association for Information Systems , 1999 .

[72]  Tiago Oliveira,et al.  Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application , 2014, Int. J. Inf. Manag..

[73]  Norman L. Chervany,et al.  What Trust Means in E-Commerce Customer Relationships: An Interdisciplinary Conceptual Typology , 2001, Int. J. Electron. Commer..

[74]  Wynne W. Chin.  Issues and Opinion on Structural Equation Modeling by , 2009 .

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

[76]  J. J. Po-An Hsieh,et al.  Motivational Differences Across Post-Acceptance Information System Usage Behaviors: An Investigation in the Business Intelligence Systems Context , 2013, Inf. Syst. Res..

[77]  A. S. Yang.  Exploring adoption difficulties in mobile banking services , 2009 .

[78]  Phillip J. Lederer,et al.  Retail Bank Services Strategy: A Model of Traditional, Electronic, and Mixed Distribution Choices , 2001, J. Manag. Inf. Syst..

[79]  Tao Zhou,et al.  An Empirical Examination of Initial Trust in Mobile Banking , 2011, Internet Res..

[80]  Tao Zhou,et al.  Examining mobile banking user adoption from the perspectives of trust and flow experience , 2012, Inf. Technol. Manag..

[81]  João Cadete de Matos,et al.  Measuring the evolution of monetary and financial services in Portugal , 2010 .

[82]  Paul A. Pavlou,et al.  Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior , 2006, MIS Q..

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

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