Acceptance of mobile banking framework in Pakistan

Tasks & technology characteristics are significant to facilitate task technology fit.Initial trust is facilitated by structural assurance & familiarity with bank.Intention is affected by task technology fit, initial trust & facilitating condition. PurposeThe purpose of this study is to analyze the untapped (behavioral, environmental and technological) dimensions of mobile banking acceptance by following a more comprehensive approach to address mobile banking intention adoption. Design/methodology/approachCFA and SEM analyses have been used to analyze the data collected from university students. The study strives to examine the role of technological and environmental variables in predicting behavioral intention of individuals to adopt mobile banking by integrating three pre-established frameworks of UTAUT, TTF and ITM. FindingsThe empirical findings established the significant contribution of task (TAC) and technology characteristics (TEC) in facilitating task technology fit (TTF). Initial trust is also found to be facilitated by structural assurance (SA) and familiarity with bank (FB). The statistical results also support the significant association of task technology fit (TTF), initial trust (IT) and facilitating condition (FC) with intention to adopt m-banking. Originality/valueThe present study provides an all-inclusive approach to understand the acceptance of mobile banking by incorporating three established theories of technology acceptance. The existing literature on mobile banking emphasizes greatly on the perception aspects of technology and hardly studies the impact of the task technology fit. The strength of present research lies in combining behavioral, technological and environmental aspects of mobile banking. This is evidenced by high explanatory power of our research model that depicted 60.1% of the behavioral intention to adopt m-banking compared to 31% by Kim et al. (2009) and 53% by Oliveira et al. (2014).

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

[2]  Yee Yen Yuen,et al.  User Acceptance of Internet Banking Service in Malaysia , 2008, WEBIST.

[3]  Julie Fisher,et al.  "Usability + usefulness = trust": an exploratory study of Australian health web sites , 2008, Internet Res..

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

[5]  Richard T. Watson,et al.  Task-technology fit for mobile locatable information systems , 2008, Decis. Support Syst..

[6]  David Corkindale,et al.  Towards an understanding of the behavioral intention to use online news services: An exploratory study , 2008, Internet Res..

[7]  S. Raza,et al.  Factors affecting internet banking adoption among internal and external customers: a case of Pakistan , 2011 .

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

[9]  James H. Steiger,et al.  Understanding the limitations of global fit assessment in structural equation modeling , 2007 .

[10]  Xinran Y. Lehto,et al.  Adoption of Mobile Technologies for Chinese Consumers , 2007 .

[11]  Niina Mallat,et al.  Exploring consumer adoption of mobile payments - A qualitative study , 2007, J. Strateg. Inf. Syst..

[12]  Heikki Karjaluoto,et al.  Mobile banking adoption: A literature review , 2015, Telematics Informatics.

[13]  A. Burton-Jones.  Minimizing Method Bias Through Programmatic Research , 2009 .

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

[15]  Ibrahim M. Al-Jabri,et al.  Mobile Banking Adoption: Application of Diffusion of Innovation Theory , 2012 .

[16]  Jeremy Foster,et al.  Understanding and Using Advanced Statistics , 2005 .

[17]  Rajeev Sharma,et al.  Estimating the effect of common method variance: the method-method pair technique with an illustration from TAM research , 2009 .

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

[19]  Eduardo Torres,et al.  The influence of corporate image on consumer trust: A comparative analysis in traditional versus internet banking , 2005, Internet Res..

[20]  Sahar Afshan,et al.  Impact of Human Resource Management Practices on Teacher's Performance: A Mediating Role of Monitoring Practices , 2013 .

[21]  Achilles A. Armenakis,et al.  Organizational Change Recipients' Beliefs Scale , 2007 .

[22]  Payam Hanafizadeh,et al.  Mobile-banking adoption by Iranian bank clients , 2014, Telematics Informatics.

[23]  S. Shapiro.  The Social Control of Impersonal Trust , 1987, American Journal of Sociology.

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

[25]  Norman L. Chervany,et al.  Trust and Distrust Definitions: One Bite at a Time , 2000, Trust in Cyber-societies.

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

[27]  James C. Anderson,et al.  The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis , 1984 .

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

[29]  I. Ajzen.  The theory of planned behavior , 1991 .

[30]  Yeoh Sok Foon,et al.  Internet Banking Adoption in Kuala Lumpur: An Application of UTAUT Model , 2011 .

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

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

[33]  Ulun Akturan,et al.  Mobile banking adoption of the youth market , 2012 .

[34]  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..

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

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

[37]  Carl J. Huberty,et al.  Multivariate Analysis of Variance and Covariance , 2000 .

[38]  Qingfei Min,et al.  Mobile commerce user acceptance study in China: A revised UTAUT model , 2008 .

[39]  R. P. McDonald,et al.  Principles and practice in reporting structural equation analyses. , 2002, Psychological methods.

[40]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

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

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

[43]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[44]  J. Pearson,et al.  An Exploratory Study Into The Adoption of Internet Banking in a Developing Country: Malaysia , 2008 .

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

[46]  D. Harrison Charles J Vivek McKnight,et al.  Dispositional Trust And Distrust Distinctions in Predicting High- and Low-Risk Internet Expert Advice Site Perceptions , 2005 .

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

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

[49]  Tao Zhou,et al.  Understanding users' initial trust in mobile banking: An elaboration likelihood perspective , 2012, Comput. Hum. Behav..

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

[51]  W. Velicer,et al.  Relation of sample size to the stability of component patterns. , 1988, Psychological bulletin.

[52]  Veera Bhatiasevi.  An extended UTAUT model to explain the adoption of mobile banking , 2016 .

[53]  Abdul Kabeer Kazi,et al.  Factors affecting adoption of mobile banking in Pakistan: Empirical Evidence , 2013 .

[54]  Rex B. Kline,et al.  Beyond Significance Testing: Reforming Data Analysis Methods in Behavioral Research , 2004 .

[55]  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.

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

[57]  Ignacio Mas,et al.  The Early Experience with Branchless Banking , 2008 .

[58]  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..

[59]  Marcia J. Simmering,et al.  A Tale of Three Perspectives , 2009 .

[60]  Phyllis Tharenou,et al.  Management Research Methods , 2007 .

[61]  Keng Siau,et al.  Building customer trust in mobile commerce , 2003, CACM.

[62]  Cynthia K. Riemenschneider,et al.  Executive Decisions About Adoption of Information Technology in Small Business: Theory and Empirical Tests , 1997, Inf. Syst. Res..

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

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

[65]  Sulaiman D. Muhammed,et al.  An Analysis of Mobile Banking Acceptance by Pakistani Customers , 2013 .

[66]  Michael R. Mullen,et al.  Structural equation modelling: guidelines for determining model fit , 2008 .

[67]  N. Ashkanasy.  Submitting your manuscript. , 2008 .

[68]  Faruq Muhammad Abubakar,et al.  The Moderating Effect of Technology Awareness on the Relationship between UTAUT Constructs and Behavioural Intention to Use Technology: A Conceptual Paper , 2013, Australian Journal of Business and Management Research.

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

[70]  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..

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

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

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

[74]  Hsi-Peng Lu,et al.  Factors affecting purchase intention on mobile shopping web sites , 2009, Internet Res..

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

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

[77]  Shahzad Khan,et al.  Internet versus Mobile Banking: A Study of Peshawar City (Pakistan) , 2012 .

[78]  S. Mulaik,et al.  EVALUATION OF GOODNESS-OF-FIT INDICES FOR STRUCTURAL EQUATION MODELS , 1989 .

[79]  David J. Ketchen,et al.  Addressing Common Method Variance: Guidelines for Survey Research on Information Technology, Operations, and Supply Chain Management , 2011, IEEE Transactions on Engineering Management.

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

[81]  Chao-hsiu Chen.  Why Do Teachers Not Practice What They Believe Regarding Technology Integration? , 2008 .

[82]  D. Dillman,et al.  Mail and telephone surveys , 1978 .

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

[84]  Gilbert A. Churchill,et al.  Marketing Research: Methodological Foundations , 1976 .

[85]  W F Velicer,et al.  Component Analysis versus Common Factor Analysis: Some issues in Selecting an Appropriate Procedure. , 1990, Multivariate behavioral research.

[86]  Nancy L. Leech,et al.  IBM SPSS for Intermediate Statistics: Use and Interpretation, Fifth Edition , 2014 .

[87]  J. Hair.  Multivariate data analysis : a global perspective , 2010 .

[88]  Barbara M. Byrne,et al.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[89]  Paul A. Pavlou,et al.  Predicting E-Services Adoption: A Perceived Risk Facets Perspective , 2002, Int. J. Hum. Comput. Stud..

[90]  Amy B. Woszczynski,et al.  The Problem of Common Method Variance in IS Research , 2004 .

[91]  S. Crowley,et al.  Structural equation modeling: basic concepts and applications in personality assessment research. , 1997, Journal of personality assessment.

[92]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

[93]  Tiago Oliveira,et al.  International Journal of Information Management , 2014 .

[94]  B. Byrne,et al.  Testing for the equivalence of factor covariance and mean structures: The issue of partial measurement invariance. , 1989 .

[95]  Gwo-Guang Lee,et al.  Perceptions of senior managers toward knowledge‐sharing behaviour , 2004 .

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

[97]  R. Bagozzi,et al.  Multitrait-Multimethod Matrices in Consumer Research , 1991 .

[98]  J. H. Steiger.  Structural Model Evaluation and Modification: An Interval Estimation Approach. , 1990, Multivariate behavioral research.

[99]  Ibrahim M. Al-Jabri,et al.  Attitudes towards mobile banking: are there any differences between users and non-users? , 2014, Behav. Inf. Technol..

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