What catalyses mobile apps usage intention: An empirical analysis

Industrial Management and Data Systems

Volumn 115, Issue 7, 2015, Pages 1269-1291

  Hew, Jun Jie ^a   Lee, Voon Hsien ^a   Ooi, Keng Boon ^b   Wei, June ^c  

^a UNIVERSITI TUNKU ABDUL RAHMAN   (Malaysia)

^b UCSI UNIVERSITY   (Malaysia)

^c University of West Florida College of Business   (United States)

Author keywords

Consumer behavioural intention; Educational level; Gender; Malaysia; Mobile applications; UTAUT2

Indexed keywords

LEAST SQUARES APPROXIMATIONS; MODERATORS;

BEHAVIOURAL INTENTIONS; EDUCATIONAL LEVELS; GENDER; MALAYSIA; MOBILE APPLICATIONS; UTAUT2;

MOBILE COMPUTING;

EID: 84938382786     PISSN: 02635577     EISSN: None     Source Type: Journal    
DOI: 10.1108/IMDS-01-2015-0028     Document Type: Article

References (90)

1. Abu-Shanab, E.A. (2011), "Education level as a technology adoption moderator", Proceedings of the 3rd International Conference on Computer Research and Development (ICCRD), IEEE, Shanghai, pp. 324-328.
2. Ajzen, I. (1991), "The theory of planned behaviour", Organizational Behavior and Human Decision Processes, Vol. 50 No. 2, pp. 179-211.
3. Ajzen, I. and Fishbein, M. (1980), Understanding Attitudes and Predicting Social Behaviour, Prentice-Hall, Englewood Cliffs, NJ.
4. Al-Gahtani, S.S., Hubona, G.S. and Wang, J. (2007), "Information technology (IT) in Saudi Arabia: culture and the acceptance and use of IT", Information & Management, Vol. 44 No. 8, pp. 681-691.
5. Armstrong, J.S. and Overton, T.S. (1977), "Estimating nonresponse bias in mail surveys", Journal of Marketing Research, Vol. 14 No. 3, pp. 396-402.
6. Bagozzi, R.P. and Yi, Y. (1988), "On the evaluation of structural equation models", Journal of the Academy of Marketing Science, Vol. 16 No. 1, pp. 74-94.
7. Bomhold, C.R. (2013), "Educational use of smart phone technology: a survey of mobile phone application use by undergraduate university students", Program: Electronic Library and Information Systems, Vol. 47 No. 4, pp. 424-436.
8. Bowen, K. and Pistilli, M.D. (2012), Student Preferences for Mobile App Usage, EDUCAUSE Center for Analysis and Research, Louisville, CO.
9. Brasel, S.A. and Gips, J. (2014), "Tablets, touchscreens, and touchpads: how varying touch interfaces trigger psychological ownership and endowment", Journal of Consumer Psychology, Vol. 24 No. 2, pp. 226-233.
10. Budiu, R. (2013), "Mobile: native apps, web apps, and hybrid apps", 14 September, available at: www.nngroup.com/articles/mobile-native-apps/(accessed 10 December 2013).
11. Chan, F.K.Y., Thong, J.Y.L., Venkatesh, V, Brown, S.A., Hu, P.J.H. and Tam, K.Y (2010), "Modeling citizen satisfaction with mandatory adoption of an e-government technology", Journal of the Association for Information Systems, Vol. 11 No. 10, pp. 519-549.
12. Chang, T.Y., Tsai, C.J. and Lin, J.H. (2012), "A graphical-based password keystroke dynamic authentication system for touch screen handheld mobile devices", The Journal of Systems and Software, Vol. 85 No. 5, pp. 1157-1165.
13. Chen, C.S. (2013), "Perceived risk, usage frequency of mobile banking services", Managing Service Quality, Vol. 23 No. 5, pp. 410-436.
14. Chin, W.W. (1998), "Issues and opinion on structural equation modelling", MIS Quarterly, Vol. 22 No. 1, pp. 7-16.
15. Chin, W.W., Marcolin, B.L. and Newsted, P.R. (2003), "A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic mail emotion/adoption study", Information Systems Research, Vol. 14 No. 2, pp. 189-217.
16. Chong, A.Y.L. (2013), "Predicting m-commerce adoption determinants: a neural network approach", Expert Systems With Applications, Vol. 40 No. 2, pp. 523-530.
17. Chong, A.Y.L., Chan, F.T.S. and Ooi, K.B. (2012), "Predicting consumer decisions to adopt mobile commerce: cross country empirical examination between China and Malaysia", Decision Support Systems, Vol. 53 No. 1, pp. 34-43.
18. Chuang, Y.F. (2011), "Pull-and-suck effects in Taiwan mobile phone subscribers switching intentions", Telecommunications Policy, Vol. 35 No. 2, pp. 128-140.
19. Cohen, J. (2013), Statistical Power Analysis for the Behavioral Sciences, Routledge Academic, New York, NY.
20. Compeau, D., Marcolin, B., Kelley, H. and Higgins, C. (2012), "Research commentary-generalizability of information systems research using student subjects-a reflection on our practices and recommendations for future research", Information Systems Research, Vol. 23 No. 4, pp. 1093-1109.
21. Costello, A.B. and Osborne, J.W. (2005), "Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis", Practical Assessment Research & Evaluation, Vol. 10 No. 7, pp. 1-9.
22. Crabbe, M., Standing, C, Standing, S. and Karjaluoto, H. (2009), "An adoption model for mobile banking in Ghana", International Journal of Mobile Communications, Vol. 7 No. 5, pp. 515-543.
23. Davis, F.D. (1989), "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, Vol. 13 No. 3, pp. 319-340.
24. Davis, F.D. and Venkatesh, V. (1996), "A critical assessment of potential measurement biases in the technology acceptance model: three experiments", International Journal of Human-Computer Studies, Vol. 45 No. 1, pp. 19-45.
25. 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.
26. Deng, Z., Mo, X. and Liu, S. (2014), "Comparison of the middle-aged and older users' adoption of mobile health services in China", International Journal of Medical Informatics, Vol. 83 No. 3, pp. 210-224.
27. Doong, H.S. and Wang, H.C. (2011), "Do males and females differ in how they perceive and elaborate on agent-based recommendations in internet-based selling?", Electronic Commerce Research and Applications, Vol. 10 No. 5, pp. 595-604.
28. Eu, G.T. (2011), "Growing interest in Malaysia mobile apps", 26 January, available at: www. btimes.com.my/Current-News/BTIMES/articles/mcc25/Article/(accessed 8 June 2013).
29. Field, A. (2009), Discovering Statistics Using SPSS, 3rd ed., Sage, London.
30. Fornell, C. and Larcker, D.F. (1981), "Evaluating structural equation models with unobservable variables and measurement error"Journal ofMarketing Research, Vol. 18 No. 1, pp. 39-50.
31. Gartner (2013), "Gartner Says mobile app stores will see annual downloads reach 102 billion in 2013", 19 September, available at: www.gartner.com/newsroom/id/2592315 (accessed 13 December 2013).
32. Hair, J.F., Ringle, CM. and Sarstedt, M. (2011), "PLS-SEM: indeed a silver bullet", Journal of Marketing Theory and Practice, Vol. 19 No. 2, pp. 139-151.
33. Hair, J.F., Hult, G.T.M., Ringle, CM. and Sarstedt, M. (2013), A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), SAGE Publications Incorporated, Thousand Oaks, CA
34. Hair, J.F., Hult, G.T.M., Ringle, CM. and Sarstedt, M. (2014), A Primer on Partial Least Squares Structural Equation Model (PLS-SEM), Sage, Los Angeles, CA.
35. Hair, J.F., Sarstedt, M., Ringle, CM. and Mena, JA. (2012), "An assessment of the use of partial least squares structural equation modeling in marketing research" Journal of the Academy of Marketing Science, Vol. 40 No. 3, pp. 414-433.
36. Hanafizadeh, P., Behboudi, M., Koshksaray, A.A and Tabar, MJ.S. (2014), "Mobile-banking adoption by Iranian bank clients", Telematics and Informatics, Vol. 31 No. 1, pp. 62-78.
37. Islam, M.R., Islam, M.R. and Mazumder, T.A (2010), "Mobile application and its global impact", International Journal of Engineering & Technology, Vol. 10 No. 6, pp. 72-78.
38. Kang, S. (2014), "Factors influencing intention of mobile application use", International Journal of Mobile Communications, Vol. 12 No. 4, pp. 360-379.
39. Keith, M.J., Thompson, S.C, Hale, J., Lowry, P.B. and Greer, C. (2013), "Information disclosure on mobile devices: re-examining privacy calculus with actual user behaviour", International Journal of Human-Computer Studies, Vol. 71 No. 12, pp. 1163-1173.
40. Kline, R.B. (1998), Principles and Practice of Structural Equation Modeling, 1st ed., Guilford Press, New York, NY.
41. Kline, R.B. (2005), Principles and Practice of Structural Equation Modeling, 2nd ed., Guilford Press, New York, NY.
42. Kuo, Y.F. and Yen, S.N. (2009), "Towards an understanding of the behavioral intention to use 3G mobile value-added services", Computers in Human Behavior, Vol. 25 No. 1, pp. 103-110.
43. Lee, M.C. (2009), "Understanding the behavioural intention to play online games: an extension of the theory of planned behaviour", Online Information Review, Vol. 33 No. 5, pp. 849-872.
44. Lee, V.H., Ooi, K.B., Chong, A.Y.L. and Lin, B. (2015), "A structural analysis of greening the supplier, environmental performance and competitive advantage", Production Planning & Control, Vol. 26 No. 2, pp. 116-130.
45. Leong, L.Y., Hew, T.S., Tan, G.W.H. and Ooi, K.B. (2013a), "Predicting the determinants of the NFC-enabled mobile credit card acceptance: a neural networks approach", Expert Systems with Applications, Vol. 40 No. 14, pp. 5604-5620.
46. Leong, L.Y., Ooi, K.B., Chong, A.Y.L. and Lin, B. (2011), "Influence of individual characteristics, perceived usefulness and ease of use on mobile entertainment adoption", International Journal of Mobile Communications, Vol. 9 No. 4, pp. 359-382.
47. Leong, L.Y., Ooi, K.B., Chong, A.Y.L. and Lin, B. (2013b), "Modeling the stimulators of the behavioral intention to use mobile entertainment: does gender really matter?", Computers in Human Behavior, Vol. 29 No. 5, pp. 2109-2121.
48. Lewis, C.C., Fretwell, C.E., Ryan, J. and Parham, J.B. (2013), "Faculty use of established and emerging technologies in higher education: a unified theory of acceptance and use of technology perspective", International Journal of Higher Education, Vol. 2 No. 2, pp. 22-34.
49. Li, Q., Yang, D. and Chen, X. (2014), "Predicting determinants and moderating factors of mobile phone data flow service adoption", Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization, IEEE, Beijing, pp. 390-394.
50. Liebowitz, J., Ayyavoo, N., Nguyen, H., Carran, D. and Simien, J. (2007), "Cross-generational knowledge flows in edge organizations", Industrial Management &Data Systems, Vol. 107 No. 8, pp. 1123-1153.
51. Lionbridge (2012), "Mobile web apps vs mobile native apps: how to make the right choice", November, available at: www.lionbridge.com/files/2012/11/Lionbridge-WP-MobileApps2.pdf (accessed 11 December 2013).
52. Lu, J., Yao, J.E. and Yu, C.S. (2005), "Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology", Journal of Strategic Information Systems, Vol. 14 No. 3, pp. 245-268.
53. Luo, X., Li, H., Zhang, J. and Shim, J.P. (2010), "Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: an empirical study of mobile banking services", Decision Support Systems, Vol. 49 No. 2, pp. 222-234.
54. Mclaughlin, D. (2013), "More mobile devices than people by the end of 2013-is your business prepared?", 17 June, available at: http://blogs.cisco.com/collaboration/more-mobile-devices-than-people-by-the-end-of-2013-is-your-business-prepared/(accessed 8 January 2014).
55. Martin, H.S. and Herrero, A. (2012), "Influence of the user's psychological factors on the online purchase intention in rural tourism: integrating innovativeness to the UTAUT framework", Tourism Management, Vol. 33 No. 2, pp. 341-350.
56. Maurits, N. (2012), From Neurology to Methodology and Back: An Introduction to Clinical Neuroengineering, Springer, New York, NY.
57. Nikou, S. and Bouwman, H. (2014), "Ubiquitous use of mobile social network services", Telematics and Informatics, Vol. 31 No. 3, pp. 422-433.
58. Nunnally, J.C. and Bernstein, I.H. (1994), Psychometric Theory, 3rd ed., McGraw-Hill, New York, NY.
59. Park, J.K., Yang, S.J. and Lehto, X. (2007), "Adoption of mobile technologies for Chinese consumers", Journal of Electronic Commerce Research, Vol. 8 No. 3, pp. 196-206.
60. Parreño, J.M., Sanz-Blas, S., Ruiz-Mafé, C. and Aldás-Manzano, J. (2013), "Key factors of teenagers' mobile advertising acceptance", Industrial Management & Data Systems, Vol. 113 No. 5, pp. 732-749.
61. Pikkarainen, T., Pikkarainen, K., Karjaluoto, H. and Pahnila, S. (2004), "Consumer acceptance of online banking: an extension of the technology acceptance model", Internet Research, Vol. 14 No. 3, pp. 224-235.
62. Pynoo, B., Devolder, P., Tondeur, J., Braak, J.V., Duyck, W. and Duyck, P. (2011), "Predicting secondary school teachers' acceptance and use of a digital learning environment: a cross-sectional study", Computers in Human Behavior, Vol. 27 No. 1, pp. 568-575.
63. Ranganathan, C, Teo, T.S. and Dhaliwal, J. (2011), "Web-enabled supply chain management: key antecedents and performance impacts", International Journal of Information Management, Vol. 31 No. 6, pp. 533-545.
64. Ringle, CM., Wende, S. and Will, A. (2005), Smart PLS 2.0, University of Hamburg, Hamburg.
65. Rodriguez-Sanchez, M.C., Martinez-Romo, J., Borromeo, S. and Hernandez-Tamames, J.A. (2013), "GAT: platform for automatic context-aware mobile services for m-tourism", Expert Systems with Applications, Vol. 40 No. 10, pp. 4154-4163.
66. Rogers, E.M. (1995), Diffusion of Innovations, 4th ed., The Free Press, New York, NY.
67. Shaw, N. (2014), "The mediating influence of trust in the adoption of the mobile wallet", Journal of Retailing and Consumer Services, Vol. 21 No. 4, pp. 449-459.
68. Skidmore, S. (2013), "Enterprise mobile apps: native, HTML5 or hybrid?", 16 April, available at: www.apperian.com/enterprise-mobile-apps-native-html5-hybrid/(accessed 10 December 2013).
69. Taylor, S. and Todd, P.A. (1995), "Understanding information technology usage: a test of competing models", Information Systems Research, Vol. 6 No. 2, pp. 144-176.
70. Tenenhaus, M., Amato, S. and Esposito Vinzi, V. (2004), "A global goodness-of-fit index for PLS structural equation modelling", Proceedings of the XLII SIS Scientific Meeting, CLEUP, Padova, pp. 739-742.
71. Teo, A.C., Tan, G.W.H., Ooi, K.B., Hew, T.S. and Yew, K.T. (2015), "The effects of convenience and speed in m-payment", Industrial Management & Data Systems, Vol. 115 No. 2, pp. 311-331.
72. The Star (2013), "Malaysian app developers still lack market knowledge", The Star, 27 October, available at: www.thestar.com.my/News/Nation/2013/10/27/Msian-app-developers-still-lack-market-knowledge.aspx (accessed 14 December 2013).
73. Thong, J.Y.L. (2001), "Resources constraints and information systems implementation in Singaporean small business", Omega, Vol. 29 No. 2, pp. 143-156.
74. Tomas, E.R. and Elena, C.T. (2013), "Online drivers of consumer purchase of website airline tickets", Journal of Air Transport Management, Vol. 32, pp. 58-64.
75. Valentine, D.B. and Powers, T.L. (2013), "Generation y values and lifestyle segments", Journal of Consumer Marketing, Vol. 30 No. 7, pp. 597-606.
76. Varshney, U. and Vetter, R. (2002), "Mobile commerce: framework, applications and networking support", Mobile Networks and Applications, Vol. 7 No. 3, pp. 185-198.
77. Venkatesh, V. and Morris, M.G. (2000), "Why men don't ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage", MIS Quarterly, Vol. 24 No. 1, pp. 115-139.
78. Venkatesh, V., Thong, J.Y.L. and Xu, X. (2012), "Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology", MIS Quarterly, Vol. 36 No. 1, pp. 157-178.
79. 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.
80. Vlachos, PA. and Vrechopoulos, A.P. (2008), "Determinants of behavioral intentions in the mobile internet services market", Journal of Services Marketing, Vol. 22 No. 4, pp. 280-291.
81. Wei, T.T., Marthandan, G., Chong, A.Y.L., Ooi, K.B. and Arumugam, S. (2009), "What drives Malaysian m-commerce adoption? An empirical analysis", Industrial Management & Data Systems, Vol. 109 No. 3, pp. 370-388.
82. Wong, C.H., Tan, G.W.H., Loke, S.P. and Ooi, K.B. (2014), "Mobile TV: a new form of entertainment?", Industrial Management & Data Systems, Vol. 114 No. 7, pp. 1050-1067.
83. Wu, I.L. and Chen, J.L. (2014), "A stage-based diffusion of IT innovation and the BSC performance impact: a moderator of technology-organization-environment", Technological Forecasting & Social Change, Vol. 88, pp. 76-90.
84. Wu, I.L., Li, J.Y. and Fu, C.Y. (2011), "The adoption of mobile healthcare by hospital's professionals: an integrative perspective", Decision Support Systems, Vol. 51 No. 3, pp. 587-596.
85. Yahya, M., Nadzar, F., Masrek, N. and Rahman, BA. (2011), "Determinants of UTAUT in measuring user acceptance of e-Syariah portal in syariah courts in Malaysia", The 2nd International Research Symposium in Service Management, Yogyakarta, pp. 242-250.
86. Yang, K.C. (2005), "Exploring factors affecting the adoption of mobile commerce in Singapore", Telematics and Informatics, Vol. 22 No. 3, pp. 257-277.
87. Yu, C.S. (2012), "Factors affecting individuals to adopt mobile banking: empirical evidence from the UTAUT model", Journal of Electronic Commerce Research, Vol. 13 No. 2, pp. 104-121.
88. Yuan, S., Liu, Y., Yao, R. and Liu, J. (2014), "An investigation of users' continuance intention towards mobile banking in China", Information Development, pp. 1-15, doi:10.1177/0266666914522140.
89. Zeithaml, VA. (1988), "Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence", Journal of Marketing, Vol. 52 No. 3, pp. 2-22.
90. Zhou, T., Lu, Y. and Wang, B. (2010), "Integrating TTF and UTAUT to explain mobile banking user adoption", Computers in Human Behavior, Vol. 26 No. 4, pp. 760-767.