Understanding Online Banking Adoption in a Developing Country: UTAUT2 with Cultural Moderators

The massive growth in digital devices and communication has spotlighted the wisdom of doing financial transactions through online banking. In developing Asian economies, online banking technology can strengthen financial systems by developing a solid connection between financial institutions and the local populace. Technology acceptance studies are under-researched in this region, especially with innovative models. Filling the gap, this paper uses a comprehensive model of extended Unified Theory of Acceptance and Use of Technology UTAUT2, moderated by cultural variables. This will provide new insights into the determinants of technology acceptance by considering cultural effects on individual customers. The authors analyzed the model through structural equation modeling. The results validated performance expectancy, facilitating conditions, habit, perceived security, and price value as important antecedents of behavioral intentions. The cultural dimensions, collectivism, and uncertainty avoidance were found to be significant moderators in explaining behavioral intention and usage behavior for online banking.

[1]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[2]  M. Rizwan,et al.  Factors contributing towards adoption of E-banking in Pakistan , 2014 .

[3]  Deborah Compeau,et al.  Application of Social Cognitive Theory to Training for Computer Skills , 1995, Inf. Syst. Res..

[4]  Matthew K. O. Lee,et al.  Understanding the sustainability of a virtual community: model development and empirical test , 2009, J. Inf. Sci..

[5]  Vishanth Weerakkody,et al.  Examining the influence of intermediaries in facilitating e-government adoption: An empirical investigation , 2013, Int. J. Inf. Manag..

[6]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[7]  William B. Dodds,et al.  Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations: , 1991 .

[8]  M. A. Hamid,et al.  A comparative analysis of internet banking in Malaysia and Thailand , 2007 .

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

[10]  Zohra Saleem,et al.  Relationship between Customer Satisfaction and Mobile Banking Adoption in Pakistan , 2011 .

[11]  Dong-Hee Shin,et al.  The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption , 2010, Interact. Comput..

[12]  Paul Foley,et al.  Changes in the banking sector - the case of Internet banking in the UK , 2000, Internet Res..

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

[14]  Agnes L. DeFranco,et al.  It's about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels , 2016 .

[15]  Il Im,et al.  An international comparison of technology adoption: Testing the UTAUT model , 2011, Inf. Manag..

[16]  Alain Yee-Loong Chong,et al.  Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia , 2012, Decis. Support Syst..

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

[18]  Peter R. Newsted,et al.  Survey Instruments in Information Systems , 1998, MIS Q..

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

[20]  Dae-Young Kim,et al.  A Study on American Meeting Planners' Attitudes toward and Adoption of Technology in the Workplace , 2009 .

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

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

[23]  Mark Srite,et al.  The Role of Espoused National Cultural Values in Technology Acceptance , 2006, MIS Q..

[24]  Zahir Irani,et al.  Acceptance of online banking information systems: an empirical case in a developing economy , 2013, Behav. Inf. Technol..

[25]  F.J.R. van de Vijver,et al.  Methods and Data Analysis for Cross-Cultural Research , 1997 .

[26]  Magid Igbaria,et al.  Information systems continuance intention of web-based applications customers: The case of online banking , 2008, Inf. Manag..

[27]  C. Morosan Toward an integrated model of adoption of mobile phones for purchasing ancillary services in air travel , 2014 .

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

[29]  James H. Steiger,et al.  Driving Fast in Reverse , 2001 .

[30]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[31]  Beomsoo Kim,et al.  The role of psychological traits and social factors in using new mobile communication services , 2011, Electron. Commer. Res. Appl..

[32]  Mehwish Waheed,et al.  The influence of learning value on learning management system use , 2016 .

[33]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[34]  I. Qureshi,et al.  M-learning adoption: A perspective from a developing country , 2012 .

[35]  Naresh K. Malhotra,et al.  Research Note - Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison , 2005, Inf. Syst. Res..

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

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

[38]  Yujong Hwang,et al.  An empirical study on trust in mobile banking: A developing country perspective , 2016, Comput. Hum. Behav..

[39]  June Lu,et al.  Are personal innovativeness and social influence critical to continue with mobile commerce? , 2014, Internet Res..

[40]  Bradley L. Kirkman,et al.  A quarter century of Culture's Consequences: a review of empirical research incorporating Hofstede's cultural values framework , 2006 .

[41]  Lorin M. Hitt,et al.  Determinants and Outcomes of Internet Banking Adoption , 2011, Manag. Sci..

[42]  Michael Jones,et al.  South African physicians' acceptance of e-prescribing technology: an empirical test of a modified UTAUT model , 2013, South Afr. Comput. J..

[43]  Hsiu-Fen Lin,et al.  Determining the relative importance of mobile banking quality factors , 2013, Comput. Stand. Interfaces.

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

[45]  Harry Bouwman,et al.  An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models , 2008, Inf. Manag..

[46]  Sahar Afshan,et al.  Acceptance of mobile banking framework in Pakistan , 2016, Telematics Informatics.

[47]  Fred D. Davis A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[48]  I. Ajzen Residual Effects of Past on Later Behavior: Habituation and Reasoned Action Perspectives , 2002 .

[49]  Moez Limayem,et al.  How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..

[50]  C. Hampden-Turner,et al.  Riding the waves of culture , 2009 .

[51]  Ali Tarhini,et al.  Impact of individualism and collectivism over the individual's technology acceptance behaviour: A multi-group analysis between Pakistan and Turkey , 2015, J. Enterp. Inf. Manag..

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

[53]  G. M. Kundi,et al.  IT in Pakistan: Threats & Opportunities for eBusiness , 2009, Electron. J. Inf. Syst. Dev. Ctries..

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

[55]  Viswanath Venkatesh,et al.  Model of Adoption and Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle , 2005, MIS Q..

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

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

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

[59]  Detmar W. Straub,et al.  Testing the technology acceptance model across cultures: A three country study , 1997, Inf. Manag..

[60]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[61]  Rosa E. Rios,et al.  The moderating effect of gender in the adoption of mobile banking , 2010 .

[62]  Muhammad Shakil Ahmad,et al.  ECRM and customers: a case of Askari Commercial Bank, Pakistan , 2012 .

[63]  G. Hofstede Culture and Organizations , 1980 .

[64]  Jing Zhu,et al.  A meta-analysis of mobile commerce adoption and the moderating effect of culture , 2012, Comput. Hum. Behav..

[65]  Tiago Oliveira,et al.  Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators , 2015, Comput. Hum. Behav..

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

[67]  Morad Benyoucef,et al.  User preferences of social features on social commerce websites: An empirical study , 2015 .

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

[69]  Faizan Ali,et al.  An assessment of students' acceptance and usage of computer supported collaborative classrooms in hospitality and tourism schools , 2016 .

[70]  Nizar Souiden,et al.  The interplay of counter-conformity motivation, social influence, and trust in customers' intention to adopt Internet banking services: The case of an emerging country , 2016 .

[71]  D. DavisFred,et al.  User Acceptance of Computer Technology , 1989 .

[72]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[73]  B. Carlsson Internationalization of innovation systems: A survey of the literature ☆ , 2006 .

[74]  Zoran Kalinic,et al.  Determinants of users’ intention to adopt m-commerce: an empirical analysis , 2015, Information Systems and e-Business Management.

[75]  John Simpson,et al.  The impact of the Internet in banking: observations and evidence from developed and emerging markets , 2002, Telematics Informatics.

[76]  Hefu Liu,et al.  Enhancing the flow experience of consumers in China through interpersonal interaction in social commerce , 2016, Comput. Hum. Behav..

[77]  Mohamad Noorman Masrek,et al.  Technology Trust and Mobile Banking Satisfaction: A Case of Malaysian Consumers , 2014 .

[78]  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..

[79]  G. Mortimer,et al.  Investigating the factors influencing the adoption of m-banking: A cross cultural study , 2015 .

[80]  Thanika Devi Juwaheer,et al.  Factors influencing the adoption of internet banking: a case study of commercial banks in Mauritius , 2012 .

[81]  Eric T. G. Wang,et al.  Understanding Web-based learning continuance intention: The role of subjective task value , 2008, Inf. Manag..

[82]  Barbara B. Flynn,et al.  Empirical research methods in operations management , 1990 .

[83]  In Lee,et al.  An empirical examination of factors influencing the intention to use mobile payment , 2010, Comput. Hum. Behav..

[84]  Ulf Kroehne,et al.  (Why) Should We Use SEM? Pros and Cons of Structural Equation Modeling , 2003 .

[85]  R. Vallerand Toward A Hierarchical Model of Intrinsic and Extrinsic Motivation , 1997 .