Perceived Enjoyment and the Effect of Gender on Continuance Intention for Mobile Internet Services

Based on technology acceptance theory, the authors examined the effect of perceived enjoyment and gender on the intention to continue using mobile Internet services (MIS) in an everyday life context. A survey was conducted among 623 current MIS users to test the structural equation model. Their findings confirm the effect of perceived enjoyment on MIS continuance intention as well as the moderating effect of gender. Women expressed a stronger need for perceived usefulness and ease-of-use than men, while men expressed a significant need for perceived enjoyment. Interestingly, and somewhat contrary to previous findings, the effect of perceived usefulness on MIS continuance intention was stronger for women; whereas the effect of perceived enjoyment was significantly stronger for men. The authors findings suggest that MIS developers and providers should consider the gender of users when designing and offering MIS. The paper provides some guidelines regarding how MIS can be designed and customized for gender segments.

[1]  Hiroshi Ono,et al.  Gender Differences in Information Technology Usage: A U.S.-Japan Comparison , 2004 .

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

[3]  Hans van der Heijden,et al.  Measuring attitudes towards mobile information services: an empirical validation of the HED/UT scale , 2003, ECIS.

[4]  Angela Giovanangeli,et al.  Describing Undergraduate Students' Intercultural Learning Through Study Abroad in Terms of Their ‘Cultural Responsiveness' , 2016, Multicultural Instructional Design.

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

[6]  Sheng Wu,et al.  Integrating perceived playfulness into expectation-confirmation model for web portal context , 2005, Inf. Manag..

[7]  Dongsong Zhang,et al.  The Effects of Tree-View Based Presentation Adaptation on Model Web Browsing , 2011, MIS Q..

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

[9]  R. Hoyle.  Structural equation modeling: concepts, issues, and applications , 1997 .

[10]  C. Ranganathan,et al.  Switching behavior of mobile users: do users' relational investments and demographics matter? , 2006, Eur. J. Inf. Syst..

[11]  Jinwoo Kim,et al.  Use Contexts for the Mobile Internet: A Longitudinal Study Monitoring Actual Use of Mobile Internet Services , 2005, Int. J. Hum. Comput. Interact..

[12]  Robin L. Wakefield,et al.  Mobile computing: a user study on hedonic/utilitarian mobile device usage , 2006, Eur. J. Inf. Syst..

[13]  Shalini Chandra,et al.  of the Association , 2018 .

[14]  Louis Leung,et al.  More Than Just Talk on the Move: Uses and Gratifications of the Cellular Phone , 2000 .

[15]  Zhaohua Deng,et al.  Exploring factors affecting Chinese consumers' usage of short message service for personal communication , 2010, Inf. Syst. J..

[16]  Bongsik Shin,et al.  Understanding Post-adoption Usage of Mobile Data Services: The Role of Supplier-side Variables , 2009, J. Assoc. Inf. Syst..

[17]  Gill Kirkup,et al.  Gender and cultural differences in Internet use: A study of China and the UK , 2007, Comput. Educ..

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

[19]  J. Neter,et al.  Applied Linear Regression Models , 1983 .

[20]  Chechen Liao,et al.  Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT) , 2009, Int. J. Inf. Manag..

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

[22]  Carol Ting,et al.  Investigating the Connection between Awareness and Internet Non-Use , 2015, Int. J. Inf. Commun. Technol. Hum. Dev..

[23]  Chorng-Shyong Ong,et al.  Gender differences in perceptions and relationships among dominants of e-learning acceptance , 2006, Comput. Hum. Behav..

[24]  Per E. Pedersen,et al.  Explaining intention to use mobile chat services: moderating effects of gender , 2005 .

[25]  L. Sha.  Mobile Seamless Learning from the Perspective of Self-Regulated Learning , 2015 .

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

[27]  Kar Yan Tam,et al.  The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance , 2006, Int. J. Hum. Comput. Stud..

[28]  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..

[29]  Bruce Bimber.  Measuring the Gender Gap on the Internet 1 , 2000 .

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

[31]  Regina Vollmeyer,et al.  Computer use and the gender gap: The issue of access, use, motivation, and performance , 2007, Comput. Hum. Behav..

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

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

[34]  Viswanath Venkatesh,et al.  Predicting Collaboration Technology Use: Integrating Technology Adoption and Collaboration Research , 2010, J. Manag. Inf. Syst..

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

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

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

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

[39]  Jintae Lee,et al.  An end-user perspective on file-sharing systems , 2003, CACM.

[40]  Susan M. Keaveney,et al.  Customer switching behavior in online services: An exploratory study of the role of selected attitudinal, behavioral, and demographic factors , 2001 .

[41]  Liqiong Deng,et al.  User experience, satisfaction, and continual usage intention of IT , 2010, Eur. J. Inf. Syst..

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

[43]  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..

[44]  Dan Jong Kim,et al.  Consumers Mobile Internet Service Satisfaction and their Continuance Intentions , 2004, AMCIS.

[45]  Sumeet Gupta,et al.  Value-based Adoption of Mobile Internet: An empirical investigation , 2007, Decis. Support Syst..

[46]  Guy Feigenblat,et al.  Use of Scripted Role-Play in Evaluation of Multiple-User Multiple-Service Mobile Social and Pervasive Systems , 2015, Int. J. Mob. Hum. Comput. Interact..

[47]  Robert D. Hill,et al.  Engaging Older Adults with Modern Technology: Internet Use and Information Access Needs , 2012 .

[48]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[49]  Venkatesh,et al.  A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. , 2000, Organizational behavior and human decision processes.

[50]  Robert D. Macredie,et al.  Web-based interaction: A review of three important human factors , 2010, Int. J. Inf. Manag..

[51]  Jason Bennett Thatcher,et al.  Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use , 2005, MIS Q..

[52]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[53]  Richard P. Bagozzi,et al.  The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift , 2007, J. Assoc. Inf. Syst..