Factors influencing intention of mobile application use

The current study examined how task performance enhancement, easiness, important others' opinions, entertainment motivation, information seeking motivation, and social connection motivation would predict use intention of mobile applications. Based on a motivational communication theory and the technology acceptance model, a web-based survey was administered among mobile application users. The results of hypothesised model testing show that easiness is the key factor influencing continuance intention of mobile application use. In addition, this study reveals that mobile application users consider human connection and social utility to be more important than entertainment in creating task performance, easiness, social influence, and use intention. This study combined motivations with technology adoption factors for mobile application use in an integrated model. This theoretical attempt strengthened the explanatory power of the technology adoption model for mobile application use. Mobile application vendors and developers must consider the user friendliness of their applications and how many purposes they satisfy.

[1]  Erik Huizer,et al.  Understanding Technology Adoption Through Individual and Context Characteristics: The Case of HDTV , 2011 .

[2]  Andreas Ritter,et al.  Structural Equations With Latent Variables , 2016 .

[3]  Chei Sian Lee,et al.  Indagator: Investigating perceived gratifications of an application that blends mobile content sharing with gameplay , 2010 .

[4]  Thomas F. Stafford,et al.  Identifying Motivations for the Use of Commercial Web Sites , 2001, Inf. Resour. Manag. J..

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

[6]  Kaye D. Sweetser,et al.  Adoption of social media for public relations by nonprofit organizations , 2010 .

[7]  Atul Gupta,et al.  Adoption of ICT in a government organization in a developing country: An empirical study , 2008, J. Strateg. Inf. Syst..

[8]  Scott W. Campbell,et al.  Mobile Communication and Civic Life: Linking Patterns of Use to Civic and Political Engagement , 2010 .

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

[10]  Hsiu-Yuan Wang,et al.  User acceptance of mobile internet based on the Unified Theory of Acceptance and Use of Technology: Investigating the determinants and gender differences , 2010 .

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

[12]  Deanna S. Kempf Attitude formation from product trial: Distinct roles of cognition and affect for hedonic and functional products , 1999 .

[13]  Borae Jin,et al.  Mobile Communication in Romantic Relationships: Mobile Phone Use, Relational Uncertainty, Love, Commitment, and Attachment Styles , 2010 .

[14]  Jin Hwan Hong,et al.  A comparison of adoption models for new mobile media services between high- and low-motive groups , 2010, Int. J. Mob. Commun..

[15]  B. Muthén,et al.  Assessing Reliability and Stability in Panel Models , 1977 .

[16]  A. Bandura Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

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

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

[19]  Namkee Park,et al.  University Instructors' Acceptance of Electronic Courseware: An Application of the Technology Acceptance Model , 2007, J. Comput. Mediat. Commun..

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

[21]  Alain Yee-Loong Chong,et al.  Adoption of 3G services among Malaysian consumers: an empirical analysis , 2010, Int. J. Mob. Commun..

[22]  E. Katz,et al.  Uses and Gratifications Research , 2019, The International Encyclopedia of Journalism Studies.

[23]  Byeng-Hee Chang,et al.  Exploring factors affecting the adoption and continuance of online games among college students in South Korea , 2006, New Media Soc..

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

[25]  Julie Fitzmaurice Incorporating consumers' motivations into the theory of reasoned action , 2005 .

[26]  Donghee Don Shin MVNO services: Policy implications for promoting MVNO diffusion , 2010 .

[27]  Juran Kim,et al.  Motivators for the intention to use mobile TV , 2009 .

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

[29]  Hassan A. Karimi,et al.  Assessing mobile phone communication utility preferences in a social support network , 2010, Telematics Informatics.

[30]  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..

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

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

[33]  Peter R. Monge,et al.  Communicator Competence in the Workplace: Model Testing and Scale Development , 1981 .

[34]  Alton Yeow-Kuan Chua,et al.  Indagator: Investigating perceived gratifications of an application that blends mobile content sharing with gameplay , 2010, J. Assoc. Inf. Sci. Technol..

[35]  William R. King,et al.  A meta-analysis of the technology acceptance model , 2006, Inf. Manag..

[36]  Jennings Bryant,et al.  Selective Exposure To Communication , 2013 .

[37]  Dong-Hee Shin,et al.  Understanding e-book users: Uses and gratification expectancy model , 2011, New Media Soc..

[38]  Sheikh Taher Abu,et al.  Technological innovations and 3G mobile phone diffusion: Lessons learned from Japan , 2010, Telematics Informatics.

[39]  Namkee Park,et al.  Adoption and Use of Computer-Based Voice Over Internet Protocol Phone Service: Toward an Integrated Model , 2010 .

[40]  Shengnan Han,et al.  Physicians' acceptance of mobile communication technology: an exploratory study , 2006, Int. J. Mob. Commun..

[41]  Wouter Duyck,et al.  Predicting secondary school teachers' acceptance and use of a digital learning environment: A cross-sectional study , 2011, Comput. Hum. Behav..

[42]  A. Albarran,et al.  Young Latinos Use of Mobile Phones: A Cross-Cultural Study , 2009 .

[43]  Karl G. Jöreskog,et al.  Lisrel 8: User's Reference Guide , 1997 .

[44]  Earl R. Babbie,et al.  The Basics Of Social Research , 1998 .

[45]  Jan Wieseke,et al.  Social influence on salespeople’s adoption of sales technology: a multilevel analysis , 2010 .

[46]  Ran Wei,et al.  Motivations for using the mobile phone for mass communications and entertainment , 2008, Telematics Informatics.

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

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

[49]  Geri Gay,et al.  Motivation for Health Information Seeking and Processing About Clinical Trial Enrollment , 2010, Health communication.

[50]  Dominic A. Infante,et al.  Building communication theory , 1990 .

[51]  KENNETH C.C. YANG Exploring Factors Affecting Consumer Intention to Use Mobile Advertising in Taiwan , 2007 .

[52]  Martin Wetzels,et al.  A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects , 2007, Inf. Manag..

[53]  Echo Huang,et al.  Use and gratification in e-consumers , 2008, Internet Res..

[54]  Stuart M. Speedie,et al.  Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model , 2009, Int. J. Medical Informatics.

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

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

[57]  Joseph J. Martocchio,et al.  Microcomputer playfulness: development of a measure with workplace implications , 1992 .