Determinants of Mobile Learning Adoption: An Empirical Analysis

References

• Agarwal, R. and Prasad, J. “Are individual differences Germane to the acceptance of new information technologies?”, Decision Sciences, (30: 2), 1999, 361–391.
   Web of Science ®Google Scholar
• Ahonen, T. and Moore, A. Putting 2.7 Billion in Context: Mobile Phone Users, available at: http://communities-dominate.blogs.com/brands/2007/01/putting_27_bill-html (accessed 5 February 2011).
   Google Scholar
• Ajzen, I. Attitudes, Personality, and Behavior. Chicago: The Dorsey Press, 1988.
   Google Scholar
• Alavi, M. and Joachimsthaler, E.A. “Revisiting DSS implementation research: A meta-analysis of the literature and suggestions for researchers”, MIS Quarterly, (16: 1), 1992, 95–116.
   Web of Science ®Google Scholar
• Arning, K. and Ziefle, M. “Understanding age differences in PDA acceptance and performance”, Computers in Human Behavior, (23: 6), 2007, 2904–2927.
   Web of Science ®Google Scholar
• Barnard, C.J. The Functions of the Executive, Cambridge, MA: Harvard University Press, 1938.
   Google Scholar
• Bartlett, M.S. “A note on the multiplying factors for various chi square approximations”, Journal of the Royal Statistical Society, 16, 1954, 296–298.
   Google Scholar
• Benbasat, I., Dexter, A.S. and Todd, P. “An experimental program investigating color-enhanced and graphical information presentation: An integration of the findings”, Communications of the ACM, (29: 11), 1986, 1094–1105.
   Web of Science ®Google Scholar
• Bopry, J. “The warrant for constructivist practice within educational technology”, Educational Technology Research and Development, (47: 4), 1999, 5–26.
   Web of Science ®Google Scholar
• Brooks, J.G. and Brooks, M.G. The Case for Constructivist Classrooms, Association for Supervision and Curriculum Development, Alexandria, VA, 1993.
   Google Scholar
• Buttle, F. and Bok, B. “Hotel Marketing Strategy and the Theory of Reasoned Action”, International Journal of Contemporary Hospitality Management, (8: 3), 1996, 5–10.
   Google Scholar
• Catchpole, M.J. Interactive Media: The Bridge between Distance and Classroom Education, Distance Education Futures, University of South Australia Press, Adelaide, 1993, 37–56.
   Google Scholar
• Chakraborty, I., Hu, P.J.H. and Cui, D. “Examining the effects of cognitive style in individuals' technology use decision making”, Decision Support Systems, (45: 2), 2008, 228–241.
   Web of Science ®Google Scholar
• Chong, A.Y.L., Ooi, K.B., Darmawan, N. and Lee, V.H. “Determinants of 3G adoption in Malaysia: A structural analysis”, Journals of Computer Information Systems, (51: 2), 2010, 71–80.
   Web of Science ®Google Scholar
• Cmuk, G. Optimization of m-Learning and e-Learning Methods in Methodology Education, available at: www.fer.hr/_download/repository/Cmuk_kvalifikacijski.pdf (accessed 11 February 2011)
   Google Scholar
• Cole, J.S., Bergin, D.A. and Whittaker, T.A. “Predicting student achievement for low stakes tests with effort and task value”, Contemporary Educational Psychology, (33: 4), 2008, 609–624.
   Web of Science ®Google Scholar
• Conner, M., Kirk, S.F.L., Cade, J.E. and Barrett, J.H. “Why do women use dietary supplements? The use of the theory of planned behaviour to explore beliefs about their use”, Social Science and Medicine, (52: 4), 2001, 621–633.
   PubMed Web of Science ®Google Scholar
• Cook, J. and Wall, T. “New work attitude measures of trust, organizational commitment and personal need nonfulfillment”, Journal of Occupational Psychology, (53: 1), 1980, 39–52.
   Web of Science ®Google Scholar
• Corbeil, J.R., and Valdes-Corbeil, M.E. “Are you ready for mobile learning?” Educause Quarterly, (30: 2), 2007, 51–58.
   Google Scholar
• Curran, K., and Huang, W. “A multilingual mobile university information portal designed to cater for visiting overseas students”, Interactive Technology and Smart Education, (5: 1), 2008, 4–28.
   Google Scholar
• Davis, F.D. “Perceived usefulness, perceived ease of use and user acceptance of Information Technology”, Management Information Systems Quarterly, (13: 3), 1989, 319–340.
   Web of Science ®Google Scholar
• Davis, F.D. “User acceptance of Information Technology: System characteristics, user perceptions and behavioral impacts”, International Journal of Man-Machine Studies, (38: 3), 1993, 475–487.
   Google Scholar
• Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. “User acceptance of computer technology: A comparison of two theoretical models”, Management Science, (35: 8), 1989, 982–1003.
   Web of Science ®Google Scholar
• DeSanctis, G. “Expectancy theory as an explanation of voluntary use of a decision support system”, Psychological Reports, (52: 1), 1983, 247–260.
   Web of Science ®Google Scholar
• Donnelly, K. “Learning on the move: How m-learning could transform training and development”, Development and Learning in Organizations, (23: 4), 2009, 8–11.
   Google Scholar
• eLearn Magazine. Predictions for e-Learning in 2011, available at: www.elearnmag.org/subpage.cfm?section=articles&article=148-1 (accessed 15 February 2011).
   Google Scholar
• Evans, M., Kiggundu, M. and House, R. “A partial test and extension of the job characteristics model of motivation”, Organizational Behavior and Human Performance, (24: 3), 1979, 354–381.
   Google Scholar
• Fishbein, M., and Ajzen, I. Believe Attitude, Intention, and Behavior: An Introduction to Theory and Research, Reading, MA: Addison-Wesley, 1975, 982–1003.
   Google Scholar
• Gefen, D. and Straub, D. “Gender differences in the perception and use of email: An extension to the technology acceptance model”, MIS Quarterly, (21: 4), 1997, 389–400.
   Web of Science ®Google Scholar
• Glass, R. and Li, S. “Social influence and instant messaging adoption”, The Journals of Computer Information Systems, (51: 2), 2010, 24–30.
   Web of Science ®Google Scholar
• Gough, H. Personality and Personality Assessment, Handbook of Industrial and Organizational Psychology, Chicago, IL: Rand-McNally, 1976.
   Google Scholar
• Gururajan, R., McDonald, J., Gururajan, V. and Genrich, R. “An exploratory qualitative study to determine factors influencing the adoption of mobile learning for tertiary education”, The International Journal of Technology, Knowledge and Society, (2: 6), 2007. 33–40.
   Google Scholar
• Ha, I., Yoon, Y. and Choi, M. “Determinants of adoption of mobile games under mobile broadband wireless access environment”, Information & Management, (44), 2007, 276–286.
   Google Scholar
• Hall, D. and Mansfield, R. “Relationships of age and seniority with career variables of engineers and scientists”, Journal of Applied Psychology, (60: 2), 1975, 201–210.
   Web of Science ®Google Scholar
• Harrison, A.W. and Rainer Jr., R.K. “The influence of individual differences on skill in end-user computing”, Journal of Management Information Systems, (9: 1), 1992, 93–111.
   Google Scholar
• Hill, T., Smith, N. D. and Mann, M. F. “Role of efficacy expectations in predicting the decision to use advanced technologies: A case of computers”, Journal of Applied Psychology, (72: 2), 1987, 307–318.
   Web of Science ®Google Scholar
• Hsu, C.L. and Lu, H.P. “Why do people play on-line games? An extended TAM with social influences and flow experience”, Information & management, (41: 7), 2004, 853–868.
   Web of Science ®Google Scholar
• Jackson, C.M., Chow, S. and Leitch, R.A. “Toward an understanding of the behavioral intention to use an information system”, Decision Sciences, (28: 2), 1997, 357–389.
   Web of Science ®Google Scholar
• Johnson, R.D., Hornik, S. and Salas, E. “An empirical examination of factors contributing to the creation of successful e-learning environments”, International Journal of Human-Computer Studies, (66: 5), 2008, 356–369.
   Web of Science ®Google Scholar
• Karahanna, E. and Straub, D.W. “The psychological origins of perceived usefulness and ease of use”, Information & Management, (35: 4), 1999, 237–250.
   Web of Science ®Google Scholar
• Kukulska-Hulme, A. “Mobile usability in educational contexts: What have we learnt?” The International Review of Research in Open and Distance Learning, (8: 2), 2007, 1–16.
   Google Scholar
• Kwon, T.H. and Zmud, R.W. Unifying the Fragmented Models of Information Systems Implementation. Critical Issues in Information Systems Research. Chichester: Wiley, 1987, 88–97.
   Google Scholar
• Lee, M.K.O., Cheung, C.M.K. and Chen, Z. “Acceptance of Internet-based learning medium: The role of extrinsic and intrinsic motivation”, Information & Management, (42: 8), 2005, 1095–1104.
   Web of Science ®Google Scholar
• Lee, Y., Kozar, K.A. and Larsen, K.R.T. “The technology acceptance model: Past, present, and future”, Communications of the AIS, (12: 50), 2003, 752–780.
   Google Scholar
• Legris, P., Ingham, J. and Collerette, P. “Why do people use information technology? A critical review of the technology acceptance model”, Information & Management, (40: 3), 2003, 191–204.
   Web of Science ®Google Scholar
• Lim, H., Lee, S.G. and Nam, K. “Validating E-learning factors affecting training effectiveness”, International Journal of Information Management, (27: 1), 2007, 22–35.
   Web of Science ®Google Scholar
• Lopez-Nicolas, C., Molina-Castillo, F.J. and Bouwman, H. “An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models”, Information and Management, (45: 6), 2008, 359–364.
   Web of Science ®Google Scholar
• Lu, J., Yu, CS., Liu, C. and Yao, J.E. “Technology acceptance model for wireless internet”, Internet Research: Electronics Networking Applications and Policy, (13: 3), 2003, 206–222.
   Web of Science ®Google Scholar
• Lucas, H.C. and Spitler, V. “Implementation in a world of workstations and networks”, Information & Management, (38:2), 2000, 119–128.
   Web of Science ®Google Scholar
• Majchrzak, A. and Cotton, J. “A longitudinal study of adjustment to technological change: From mass to computer-automated batch production”, Journal of Occupational Psychology, (61: 1), 1988, 43–66.
   Web of Science ®Google Scholar
• Mathieson, K. “Predicting user intentions: Comparing the technology acceptance model and the theory of plan behavior”, Information Systems Research, (2: 3), 1991, 173–191.
   Web of Science ®Google Scholar
• McCoy, S., Galletta, D.F. and King, W.R. “Applying TAM across cultures: The need for caution”, European Journal of Information Systems, (16: 1), 2007, 81–90.
   Web of Science ®Google Scholar
• Moon, J.W. and Kim, Y.G. “Extending the TAM for a World-Wide-Web context”, Information & Management, (38: 4), 2001, 217–230.
   Web of Science ®Google Scholar
• Moore, G.C. and Benbasat, I. “Development of an instrument to measure the perceptions of adopting an information technology innovation”, Information Systems Research, (2: 3), 1991, 192–222.
   Web of Science ®Google Scholar
• Morris, M.G. and Venkatesh, V. “Age differences in technology adoption decisions: Implications for a changing work force”, Personnel Psychology, (53: 2), 2000, 375–403.
   Web of Science ®Google Scholar
• Motiwalla, L.F. “Mobile learning: A framework and evaluation”, Computers & Education, (49: 3), 2007, 581–596.
   Web of Science ®Google Scholar
• Nelson, D.L. “Individual adjustment to information driven technologies: A critical review”, MIS Quarterly, (14: 1), 1990, 79–100.
   Web of Science ®Google Scholar
• Nunnally, J.C. and Bernstein, I.H. Psychometric Theory, 3rd ed., New York: McGraw-Hill, 1994.
   Google Scholar
• Ong, C. and Lai, J. “Gender differences in perceptions and relationships among dominants of e-learning acceptance”, Computers in Human Behavior, (22: 5), 2006, 816–829.
   Web of Science ®Google Scholar
• Ooi, K.B., Sim, J.J., Yew, K.T. and Lin, B. “Exploring factors influencing consumers' behavioral intention to adopt broadband in Malaysia”, Computers in Human Behavior, (27: 3), 2011, 1168–1179.
   Web of Science ®Google Scholar
• Pfeffer, J. Organizations and Organization Theory, Cambridge, MA: Ballinger Publishing Co., 1982.
   Google Scholar
• Pfeffer, J. Power in Organizations, Marshfield, MA: Pitman, 1981.
   Google Scholar
• Pijpers, G.G.M., Bemelmans, T.M.A., Heemstra, F.J. and van Montfort, K.A.G.M. “Senior executives' use of information technology”, Information and Software Technology, (43: 15), 2001, 959–971.
   Web of Science ®Google Scholar
• Porter, C.E. and Donthu, N. “Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics”, Journal of Business Research, (59: 9), 2006, 999–1007.
   Web of Science ®Google Scholar
• Porter, L. “Job attitudes in management: Perceived importance of needs as a function of job level”, Journal of Applied Psychology, (47: 2), 1963, 141–148.
   Web of Science ®Google Scholar
• Raubenheimer, J.E. “An item selection procedure to maximize scale reliability and validity”, South African J. Industrial Psychology, (30: 4), 2004, 59–64.
   Google Scholar
• Rogers, E.M. Diffusion of Innovations, 4th ed., New York: The Free Press, 1995.
   Google Scholar
• Saadé, R. and Bahli, B. “The impact of cognitive absorption on perceived usefulness and perceived ease of use in online learning: An extension of the technology acceptance model”, Information & Management, (42: 2), 2005, 317–327.
   Web of Science ®Google Scholar
• Schepers, J.J.L. and Wetzels, M.G.M. “The technology acceptance: A meta-analytical view on subjective norm”, proceedings of the 35th European Marketing Academy Conference, Athens, Greece, 2006.
   Google Scholar
• Sharit, J. and Czaja, S.J. “Aging, computer-based task performance, and stress: Issues and challenges”, Ergonomie, (37: 4), 1994, 559–577.
   PubMed Web of Science ®Google Scholar
• Sim, J.J., Tan, G.W.H., Ooi, K.B. and Lee, V.H. “Exploring the individual characteristics on the adoption of broadband: An empirical analysis”, International Journal of Network and Mobile Technologies, (2: 1), 2011, 1–14.
   Google Scholar
• Szajna, B. “Empirical evaluation of the revised technology acceptance model”, Management Science, (42: 1), 1996, 85–92.
   Web of Science ®Google Scholar
• Thornton, P. and Houser, C. “Using mobile phones in English education in Japan”, Journal of Computer-Assisted Learning, (21: 3), 2005, 217–228.
   Web of Science ®Google Scholar
• Tsai, C.C. “The interpretation construction design model for teaching science and its applications to Internet-based instruction in Taiwan”, International Journal of Educational Development, (21: 5), 2001, 401–415.
   Web of Science ®Google Scholar
• Venkatesh, V. and Davis, F.D. “A theoretical extension of the Technology Acceptance Model: Four Longitudinal Field Studies”, Management Science, (46: 2), 2000, 186–204.
   Web of Science ®Google Scholar
• Venkatesh, V. and Morris, M.G. “Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior”, MIS Quarterly, (24: 1), 2000, 115–139.
   Web of Science ®Google Scholar
• Vijayasarathy, L.R. “Predicting customer intentions to use on-line shopping: The case for an augmented technology acceptance model”, Information & Management, (41: 6), 2004, 747–762.
   Web of Science ®Google Scholar
• Wang, M., Shen, R., Novak, D. and Pan, X. “The impact of mobile learning on students' learning behaviours and performance: Report from a large blended classroom”, British Journal of Educational Technology, (40: 4), 2009, 673–695.
   Web of Science ®Google Scholar
• Wang, Y.S., Wu, M.C. and Wang, H.Y. “Investigating the determinants and age and gender differences in the acceptance of mobile learning”, British Journal of Educational Technology, (40: 1), 2009, 92–118.
   Web of Science ®Google Scholar
• Warshaw, P.R. “A new model for predicting behavioral intentions: An alternative to Fishbein”, Journal of Marketing Research, (17: 2), 1980, 153–172.
   Web of Science ®Google Scholar
• Wen, L.M.C. and Tsai, C.C. “Misconceptions and misuses of constructivism”, Educational Practice and Theory, (25: 1), 2003, 77–83.
   Google Scholar
• Yang, K.C.C. “Exploring factors affecting the adoption of mobile commerce in Singapore”, Telematics and Informatics, (22: 3), 2005, 257–277.
   Google Scholar
• Zajicek, M. and Hall, S. “Solution for elderly visually impaired people using the Internet”, HCI, 2000, 299–307.
   Google Scholar
• Zinkhan, G.M., Joachimsthaler, E.A. and Kinnear, T.C. “Individual differences and marketing decision support system usage and satisfaction”, Journal of Marketing Research, (24: 2), 1987, 208–214.
   Web of Science ®Google Scholar