Does ease-of-use contributes to the perception of enjoyment? A case of gamification in e-banking

The success of online games encouraged the development of gamification software in e-banking. Beside the growing trend of gamification, it is important understand how bank customers face the gamified applications, particularly as enjoyment and ease-of-use. To assess the determinants that influence the adoption of gamification in e-banking, we developed a research to propose a conceptual model that illustrates the adoption of gamified business applications by bank customers, in e-banking context. We conducted two quantitative studies (A and B) to understand how bank customers represent a gamified business software and its changes (or improvements) over time. Study A was performed in 2012 (Nź=ź183), and study B in 2015 (Nź=ź219). Online bank customers were invited to rate the importance of variables related to: socialness, ease-of-use, usefulness, enjoyment and intention to use e-banking systems with game features and social cues. The results show that ease-of-use and enjoyment are interrelated, and both have influence in e-banking usage. This study present theoretical ground of the conceptual model, and discuss two empirical studies, aiming to analyse the ease-of-use and enjoyment influence on bank customers. These findings will contribute directly to explain of adoption hedonic business software in e-banking. Two studies, are presented to analyse the ease-of-use and enjoyment influence.A conceptual model was validated in two consequent studies in e-banking.The conceptual model for hedonic business software is not fully recursive.The ease-of-use and enjoyment have a positive influence on each other.The influence of ease-of-use on enjoyment is stronger, than the reverse.

[1]  Mitsuru Ishizuka,et al.  Journal of Visual Languages , 2002 .

[2]  Heshan Sun,et al.  Causal Relationships between Perceived Enjoyment and Perceived Ease of Use: An Alternative Approach , 2006, J. Assoc. Inf. Syst..

[3]  Kent Eriksson,et al.  The adoption of commercial innovations in the former Central and Eastern European markets : The case of internet banking in Estonia , 2008 .

[4]  P. Barrett.  Structural equation modelling : Adjudging model fit , 2007 .

[5]  Mun Y. Yi,et al.  Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model , 2003, Int. J. Hum. Comput. Stud..

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

[7]  O. Mitchell,et al.  The Economic Importance of Financial Literacy: Theory and Evidence , 2013, Journal of economic literature.

[8]  B. J. Fogg,et al.  Computers are social actors: a review of current research , 1997 .

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

[10]  Kenneth A. Bollen,et al.  Structural Equations with Latent Variables , 1989 .

[11]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[12]  Darshana Sedera,et al.  Re-conceptualizing Information System Success: The IS-Impact Measurement Model , 2008, J. Assoc. Inf. Syst..

[13]  M. Conner,et al.  The Theory of Planned Behaviour , 2004 .

[14]  Marios Koufaris,et al.  Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior , 2002, Inf. Syst. Res..

[15]  Ephraim R. McLean,et al.  Measuring information systems success: models, dimensions, measures, and interrelationships , 2008, Eur. J. Inf. Syst..

[16]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[17]  Cheolho Yoon,et al.  The effects of national culture values on consumer acceptance of e-commerce: Online shoppers in China , 2009, Inf. Manag..

[18]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[19]  Younghwa Lee,et al.  The Technology Acceptance Model: Past, Present, and Future , 2003, Commun. Assoc. Inf. Syst..

[20]  Po-yuan Chen,et al.  Perceived value, transaction cost, and repurchase-intention in online shopping: A relational exchange perspective , 2014 .

[21]  Sung S. Kim.  The integrative framework of technology use: an extension and test , 2009 .

[22]  Izak Benbasat,et al.  E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact , 2007, MIS Q..

[23]  Christoph Lattemann,et al.  USER ACCEPTANCE OF VIRTUAL WORLDS , 2008 .

[24]  Jiaqin Yang,et al.  A comparative study on e-banking services between China and USA , 2009 .

[25]  Thompson S. H. Teo,et al.  Intrinsic and extrinsic motivation in Internet usage , 1999 .

[26]  Chris Janiszewski,et al.  The Influence of Avatars on Online Consumer Shopping Behavior , 2006 .

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

[28]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[29]  Hun Myoung Park,et al.  Confirmatory Factor Analysis using Amos, LISREL, Mplus, SAS/STAT CALIS* , 2009 .

[30]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

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

[32]  Izak Benbasat,et al.  The Effects of Presentation Formats and Task Complexity on Online Consumers' Product Understanding , 2007, MIS Q..

[33]  Afzaal H. Seyal,et al.  Determinants of academic use of the Internet: A structural equation model , 2002, Behav. Inf. Technol..

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

[35]  Chan-Kook Park,et al.  A study of factors enhancing smart grid consumer engagement , 2014 .

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

[37]  De Liu,et al.  The Effects of Trust and Enjoyment on Intention to Play Online Games , 2007 .

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

[39]  Mohamed Khalifa,et al.  Online consumer retention: contingent effects of online shopping habit and online shopping experience , 2007, Eur. J. Inf. Syst..

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

[41]  Norazah Mohd Suki,et al.  Exploring the relationship between perceived usefulness, perceived ease of use, perceived enjoyment, attitude and subscribers' intention towards using 3G mobile services , 2011 .

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

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

[44]  Kirk L. Wakefield,et al.  Can A Retail Web Site be Social? , 2007 .

[45]  Thomas W. Malone,et al.  What Makes Things Fun to Learn? A Study of Intrinsically Motivating Computer Games. , 1981 .

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

[47]  Daniel Singer,et al.  THE FREQUENCY AND INTENSITY OF EXPERIENCE IN ONLINE BANKING USE , 2012 .

[48]  E. Hirschman,et al.  The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun , 1982 .

[49]  James C. Anderson,et al.  On the Meaning of Within-Factor Correlated Measurement Errors , 1984 .

[50]  Peter A. Todd,et al.  Consumer Reactions to Electronic Shopping on the World Wide Web , 1996, Int. J. Electron. Commer..

[51]  Zhenyu Huang,et al.  Assessment of a Web-Based Learning Game in an Information Systems Course , 2005, J. Comput. Inf. Syst..

[52]  B. Byrne.  Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Concepts, Applications, and Programming , 1998 .

[53]  Tracy L. M. Kennedy,et al.  Behind the Avatar: The Patterns, Practices, and Functions of Role Playing in MMOs , 2011, Games Cult..

[54]  Yu-Ru Lin,et al.  Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model , 2007, Electron. Libr..

[55]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[56]  Viswanath Venkatesh,et al.  Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation , 1999, MIS Q..

[57]  Chin-Lung Hsu,et al.  Why do people play on-line games? An extended TAM with social influences and flow experience , 2004, Inf. Manag..

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

[59]  David R. Michael,et al.  Serious Games: Games That Educate, Train, and Inform , 2005 .

[60]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[61]  Walfried M. Lassar,et al.  The relationship between consumer innovativeness, personal characteristics, and online banking adoption , 2005 .

[62]  Jinwoo Kim,et al.  Why People Continue to Play Online Games: In Search of Critical Design Factors to Increase Customer Loyalty to Online Contents , 2004, Cyberpsychology Behav. Soc. Netw..

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

[64]  Linsey M. Steege,et al.  Development of a quantitative model of the impact of customers' personality and perceptions on Internet banking use , 2013, Comput. Hum. Behav..

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

[66]  Magid Igbaria,et al.  A Motivational Model of Microcomputer Usage , 1996, J. Manag. Inf. Syst..

[67]  Terry L. Childers,et al.  HEDONIC AND UTILITARIAN MOTIVATIONS FOR ONLINE RETAIL SHOPPING BEHAVIOR , 2001 .

[68]  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..

[69]  Thurasamy Ramayah,et al.  Impact of shared beliefs on “perceived usefulness” and “ease of use” in the implementation of an enterprise resource planning system , 2007 .

[70]  Robin L. Wakefield,et al.  How website socialness leads to website use , 2011, Eur. J. Inf. Syst..

[71]  Jan Noyes,et al.  An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach , 2011, Comput. Educ..

[72]  Jacob Cohen.  Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[73]  Deborah Compeau,et al.  Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study , 1999, MIS Q..

[74]  Detmar W. Straub,et al.  Current Technological Impediments to Business-to-Consumer Electronic Commerce , 1999, Commun. Assoc. Inf. Syst..

[75]  John Scott Lewinski,et al.  Developer's guide to computer game design , 1999 .

[76]  Byron Reeves,et al.  Total Engagement: Using Games and Virtual Worlds to Change the Way People Work and Businesses Compete , 2009 .

[77]  Hans van der Heijden,et al.  Factors influencing the usage of websites: the case of a generic portal in The Netherlands , 2003, Inf. Manag..

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

[79]  Viswanath Venkatesh,et al.  User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model , 2002, Decis. Sci..

[80]  Hal R. Varian,et al.  Information rules - a strategic guide to the network economy , 1999 .

[81]  Neha Dixit,et al.  Acceptance of E-banking among Adult Customers:An Empirical Investigation in India , 2010 .

[82]  R. Vallerand.  Deci and Ryan's self-determination theory: A view from the hierarchical model of intrinsic and extrinsic motivation. , 2000 .

[83]  Heikki Karjaluoto,et al.  Consumer acceptance of online banking: an extension of the technology acceptance model , 2004, Internet Res..