Factors influencing intention of mobile application use

International Journal of Mobile Communications

Volumn 12, Issue 4, 2014, Pages 360-379

  Kang, Seok ^a  

^a UNIVERSITY OF TEXAS AT SAN ANTONIO   (United States)

Author keywords

Effort expectancy; Mobile applications; Mobile communication; Motivations; Performance expectancy; Social influence; Use intention

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; MOTIVATION;

EFFORT EXPECTANCY; MOBILE APPLICATIONS; MOBILE COMMUNICATIONS; PERFORMANCE EXPECTANCY; SOCIAL INFLUENCE; USE INTENTIONS;

MOBILE COMPUTING;

EID: 84904730450     PISSN: 1470949X     EISSN: 17415217     Source Type: Journal    
DOI: 10.1504/IJMC.2014.063653     Document Type: Article

References (72)

1. Abu, S.T. (2010) 'Technological innovations and 3G mobile phone diffusion: lessons learned from Japan', Telematics and Informatics, Vol. 27, No. 1, pp.418-432.
2. Agarwal, R. and Prasad, J. (1999) 'Are individual differences germane to the acceptance of new information technologies?', Decision Sciences, Vol. 30, pp.361-391.
3. Ajzen, I. (1985) 'From intentions to actions: a theory of planned behavior', in Kuhl, J. and Beckman, J. (Eds.): Action-control: From cognition to behaviour, Springer, Heidelberg, Germany, pp.11-39.
4. Albarran, A.B. (2009) 'Young Latinos use of mobile phone: a cross-cultural study', Revista de Communicacion, Vol. 8, pp.95-108.
5. American Association for Public Opinion Research (2008) Standard Definitions. Final Dispositions of Case Codes and Outcome Rates for Survey, Deerfield, IL: Author. Available from: http://www.aapor.org/Standard- Definitions2.htm (Accessed on 7 August, 2011).
6. Arya, A. (April, 2011) 'More than 10 billion app store downloads served', Macworld, Vol. 29, No. 4, p.29.
7. Baaren, E., van de Wijngaert, L. and Huizer, E. (2011) 'Understanding technology adoption through individual and context characteristics: The case of HDTV', Journal of Broadcasting & Electronic Media, Vol. 55, No. 1, pp.72-89.
8. Babbie, E. (2002) The Basics of Social Research, Wadsworth, Belmont, CA.
9. Bandura, A. (1997) Self-Efficacy: The Exercise of Control, Freeman, New York.
10. Bilton, N. (March, 2011) 'Mobile app revenue to reach $38 billion by 2015, report predicts', New York Times, Available from: http://bits.blogs. nytimes.com/2011/02/28/mobile-apprevenue- to-reach-38-billion-by-2015-report- predicts/?scp=1&sq=mobile%20apps&st=cse (Accessed on 4 March, 2011).
11. Bollen, K.A. (1989) Structural Equations with Latent Variables, Wiley, New York.
12. Browser Media (March 30, 2011) 2011 Social Media Show Huge Growth, Available from: http://www.browsermedia.co.uk/2011/03/30/2011-social-media- statistics-show-huge-growth/(Accessed on 4 April, 2011).
13. Byrne, B. (1998) Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS: Basic Applications and Programs, Lawrence Erlbaum, Mahwah, New Jersey.
14. Campbell, S.W. and Kwak, N. (2010) 'Mobile communication and civic life: linking patterns of use to civic and political engagement', Journal of Communication, Vol. 60, No. 3, pp.536-555.
15. Chang, B., Lee, S. and Kim, B. (2006) 'Exploring factors affecting the adoption and continuance of online games among college students in South Korea: Integrating uses and gratifications and diffusion of innovation approaches', New Media & Society, Vol. 8, No. 2, pp.295-319. (Pubitemid 43384563)
16. Choi, Y.K., Kim, J. and McMillan, S.J. (2009) 'Motivators for the intention to use mobile TV', International Journal of Advertising, Vol. 28, No. 1, pp.147-167.
17. Chong, A.Y., Darmawan, N., Ooi, K. and Lin, B. (2010) 'Adoption of 3G services among Malaysian consumers: An empirical analysis', International Journal of Mobile Communications, Vol. 8, No. 2, pp.129-149.
18. ComScore (2012) Mobile Subscriber Market Share, Available from: http://www.comscore.com/Press-Events/Press-Releases/2012/6/comScore-Reports- April-2012-U.S.-Mobile-Subscriber-Market-Share (Accessed on 22 July, 2012).
19. Curtis, L., Edwards, C., Fraser, K.L., Gudelsky, S., Holmquist, J., Thornton, K. and Sweetser, K.D. 'Adoption of social media for public relations by nonprofit organizations', Public Relations Review, Vol. 36, No. 1, pp.90-92.
20. Davis, F.D. (1989) 'Perceived usefulness, perceived ease of use, and user acceptance', MIS Quarterly, Vol. 13, No. 3, pp.319-340.
21. Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989) 'User acceptance of computer technology: a comparison of two theoretical models', Management Science, Vol. 35, No. 8, pp.982-1003.
22. eBizMBA. (2011) Top 15 Most Popular Social Network Sites, Available from: http://www.ebizmba.com/articles/social-networking-websites (Accessed 6 April, 2011).
23. Fishbein, M. and Ajzen, I. (1975) Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, Addison-Wesley, Reading, MA.
24. Fitzmaurice, J. (2005) 'Incorporating consumers' motivation into the theory of reasoned action', Psychology & Marketing, Vol. 22, No. 11, pp.911-929. (Pubitemid 41596273)
25. Flurry Analytics (2012) Mobile Freemium Games: Women Thrify, Men Binge, Available from http://blog.flurry.com/bid/72755/Mobile-Freemium-Games-Women- Thrify-Men-Binge (Accessed on 22 July, 2012).
26. Gefen, D. (2000) 'E-Commerce: the role of familiarity and trust', Omega, Vol. 28, No. 6, pp.725-737.
27. Gefen, D. and Straub, D.W. (1997) 'Gender differences in the perception and use of e-mail: an extension to the technology acceptance model', MIS Quarterly, Vol. 21, pp.389-400. (Pubitemid 127709777)
28. Gupta, B., Dasgupta, S. and Gupta, A. (2008) 'Adoption of ICT in a government organization in a developing country: an empirical study', Journal of Strategic Information Systems, Vol. 17, No. 2, pp.140-154.
29. Han, S., Mustonen, P., Seppanen, M. and Kallio, M. (2006) 'Physicians' acceptance of mobile communication technology: an exploratory study', International Journal of Mobile Communications, Vol. 4, No. 2, pp.210-230.
30. Homburg, C., Wieseke, J. and Kuehnl, C. (2010) 'Social influence on salespeople's adoption of sales technology: a multilevel analysis', Journal of the Academy of Marketing Science, Vol. 38, No. 2, pp.159-168.
31. Huang, E. (2008) 'Use and gratification in e-consumers', Internet Research, Vol. 18, No. 4, pp.405-426.
32. Infante, D.A., Rancer, A.S. and Womack, D.F. (1993) Building Communication Theory, 2nd ed., Waveland Press, Prospect Heights, IL.
33. Jin, B. and Peña, J.F. (2010) 'Mobile communication in romantic relationships: mobile phone use, relational uncertainty, love, commitment, and attachment styles', Communication Reports, Vol. 23, No. 1, pp.39-51.
34. Jöreskog, K. and Sörbom, D. (1996) LISREL 8: User's Reference Guide, Scientific Software International, Lincolnwood, IL.
35. Katz, E., Blumler, J.G. and Gurevitch, M. (1974) 'Uses and gratifications research', The Public Opinion Quarterly, Vol. 37, No. 4, pp.509-523.
36. Kempf, D.S. (1999) 'Attitude formation from product trial: distinct roles of cognition and affect for hedonic and functional products', Psychology and Marketing, Vol. 16, No. 1, pp.35-50.
37. Kijsanayotin, B., Pannarunothai, S. and Speedie, S.M. (2009) 'Factors influencing health information technology adoption in Thailand's community health centers: applying the UTAUT model', International Journal of Medical Informatics, Vol. 78, No. 6, pp.404-416.
38. King, W.R. and He, J. (2006) 'A meta-analysis of the technology acceptance model', Information & Management, Vol. 43, pp.740-755. (Pubitemid 44287241)
39. LaRue, E.M., Mitchell, A.M., Terhorst, L. and Karimi, H.A. (2010) 'Assessing mobile phone communication utility preferences in a social support network', Telematics & Informatics, Vol. 27, No. 4, pp.363-369.
40. Lee, C.S., Goh, D.H., Chua, A.Y.K. and Ang, R.P. (2010a) 'Indagator: investigating perceived gratifications of an application that blends mobile content sharing with game play', Journal of the American Society for Information Science & Technology, Vol. 61, No. 6, pp.1244-1257.
41. Lee, J.H., Kim, J.H. and Hong, J.H. (2010b) 'A comparison of adoption models for new mobile media services between high- and low-motive groups', International Journal of Mobile Communications, Vol. 8, No. 5, pp.487-506.
42. Leung, L. and Wei, R. (2000) 'More than just talk on the move: uses and gratifications of the cellular phone', Journalism & Mass Communication Quarterly, Vol. 77, No. 2, pp.308-320.
43. McQuail, D. (1985) 'Gratifications research and media theory: four models or one', in Rosengren, K.E., Wenner, L.A. and Palmer, P. (Eds.): Media Gratification Research: Current Perspectives, Sage, Beverly Hills, CA, pp.149-167.
44. Microsoft Tag (2011) How People Use Mobile Phones, Available from: http://www.digitalbuzzblog.com/2011-mobile-statistics-stats-facts-marketing- infographic/(Accessed on 16 July, 2012).
45. Monge, P.R., Bachman, S.G., Dillard, J.P. and Eisenberg, E.M. (1982) 'Communicator competence in the workplace: model testing and scale development', Communication Yearbook, Vol. 5, pp.505-527.
46. Moon, J. and Kim, Y. (2001) 'Extending the TAM for a world-wide-web context', Information & Management, Vol. 38, No. 4, pp.217-230. (Pubitemid 33651294)
47. Moore, G.C. and Benbasat, I. (1991) 'Development of an instrument to measure the perceptions of adopting an information technology innovation', Information Systems Research, Vol. 2, No. 3, pp.192-222.
48. Nielsen Wire (2012) State of the Application, Available from: http://blog.nielsen.com/nielsenwire/?p=31891 (Accessed on 22 July, 2012).
49. Park, N. (2010) 'Adoption and use of computer-based voice over Internet protocol phone service: toward an integrated model', Journal of Communication, Vol. 60, No. 1, pp.40-72.
50. Park, N., Lee, K.M. and Cheong, P.H. (2007) 'University instructors' acceptance of electronic courseware: an application of the technology acceptance model', Journal of Computer- Mediated Communication, Vol. 13, No. 1, pp.163-186.
51. Pew Internet (2012) The Future of Apps and Web, Available from: http://pewinternet.org/Reports/2012/Future-of-Apps-and-Web/Main-Findings/ Apps-convenience.aspx (Accessed on 18 July, 2012).
52. Pynoo, B., Devolder, P., Tondeur, J., van Braak, J., Duyck, W. and Duyck, P. (2011) 'Predicting secondary school teachers' acceptance and use of a digital learning environment: a crosssectional study', Computers in Human Behavior, Vol. 27, No. 1, pp.568-575.
53. Reagan, J. (2002) 'The difficult world of predicting telecommunication innovations: factors affecting adoption', in Lin, C.A. and Atkin, D.J. (Eds.): Communication Technology and Society, Hampton Press, Cresskill, NJ, pp.65-87.
54. Rogers, E.M. (1962) Diffusion of Innovations, The Free Press, New York.
55. Rogers, E.M. (1995) Diffusion of Innovations, 4th ed., The Free Press, New York.
56. Schepers, J. and Wetzels, M. (2007) 'A meta-analysis of the technology acceptance model: investigating subjective norm and moderation effects', Information & Management, Vol. 44, pp.90-103. (Pubitemid 46028956)
57. Shin, D. (2010) 'MVNO services: policy implications for promoting MVNO diffusion', Telecommunications Policy, Vol. 34, No. 10, pp.616-632.
58. Shin, D. (2011) 'Understanding e-book users: uses and gratification expectancy model', New Media & Society, Vol. 13, No. 2, pp.260-278.
59. Smith, C. (2011) 'Twitter user statistics show stunning growth', The Huffington Post, 14 March, Available from http://www.huffingtonpost.com/2011/03/ 14/twitter-userstatistics-n-835581.html (Accessed on 5 April, 2011).
60. Stafford, T.F. and Stafford, M.R. (2001) 'Identifying motivations for the use of commercial websites', Information Resources Management Journal, Vol. 14, pp.22-30.
61. The Nielsen Company (2011) State of Mobile Apps [Online], Available from: http://www.nielsen.com/content/corporate/us/en/search.html?q=mobile+apps (Accessed on 21 August, 2011).
62. Venkatesh, V. and Davis, F.D. (2000) 'A theoretical extension of the technology acceptance model: four longitudinal field studies', Management Science, Vol. 46, No. 2, pp.186-204. (Pubitemid 30594361)
63. Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003) 'User acceptance of information technology: toward a unified view', MIS Quarterly, Vol. 27, No. 3, pp.425-478.
64. Vladar, A. and Fife, E. (2010) 'The growth of mobile social networking in the US: how far, how fast?', Intermedia, Vol. 38, No. 3, pp.30-33.
65. Wang, H. and Wang, S. (2010) 'User acceptance of mobile Internet based on the unified theory of acceptance and use of technology: investigating the determinants and gender differences', Social Behavior & Personality: An International Journal, Vol. 38, No. 3, pp.415-426.
66. Wang, Y., Wu, M. and Wang, H. (2009) 'Investigating the determinants and age gender differences in the acceptance of mobile learning', British Journal of Educational Technology, Vol. 40, No. 1, pp.92-118.
67. Webster, J. and Martocchio, J.J. (1992) 'Microcomputer playfulness: development of a measure with workplace implications', MIS Quarterly, Vol. 16, No. 2, pp.201-226.
68. Wei, R. (2008) 'Motivations for using the mobile phone for mass communications and entertainment', Telematics & Informatics, Vol. 25, No. 1, pp.36-46. (Pubitemid 350103749)
69. Wheaton, B., Muthen, B., Alwin, D.R. and Summers, G.F. (1977) 'Assessing reliability and stability in panel models', in Heise, D.R. (Ed.): Sociological Methodology 1977, Jossey-Bass, San Francisco, CA, pp.84-136.
70. Yang, K.C. (2007) 'Exploring factors affecting consumer intention to use mobile advertising in Taiwan', Journal of International Consumer Marketing, Vol. 20, No. 1, pp.33-49.
71. Yang, Z.J., McComas, K., Gay, G., Leonard, J.P., Dannenberg, A.J. and Dillon, H. (2010) 'Motivation for health information seeking and processing about clinical trial enrollment', Health Communication, Vol. 25, No. 2, pp.423-436.
72. Zillman, D. and Bryant, J. (1985) Selective Exposure to Communication, Lawrence Erlbaum Associates, Hillsdale, NJ.