International Journal of Soft Computing

Year: 2016
Volume: 11
Issue: 6
Page No. 401 - 408

Why Do Individuals Adopt Smart Devices? Model of Factors Influencing Individuals’ Adoption of Smart Devices

Authors : Sanghyun Kim, Hyunsun Park and Inho Hwang

References

Agarwal, R. and J. Prasad, 1999. Are individual differences germane to the acceptance of new information technologies? Decis. Sci., 30: 361-391.
CrossRef  |  

Agrawal, R., V. Sambamurthy and R.M. Stair, 2000. Research report: The evolving relationship between general and specific computer self-efficacy: An empirical assessment. Inform. Syst. Res., 11: 418-430.
Direct Link  |  

Ajzen, I., 1985. From Intentions to Actions: A Theory of Planned Behavior. In: Action Control, Kuhl, J. and J. Beckmann (Eds.). Springer, Berlin, Germany, ISBN:978-3-642-69748-7, pp: 11-39.

Anandarajan, M., M. Igbaria and U. Anakwe, 2002. IT acceptance in a less-developed country: A motivational factor perspective. Int. J. Inform. Manage., 22: 47-65.
Direct Link  |  

Bass, F.M., 1696. A new product growth model for consumer durables. Manage. Sci., 15: 215-227.
Direct Link  |  

Black, N.J., A. Lokett, H. Winklhofer and C. Ennew, 2001. The adoption of Internet financial services: A qualitative study. Int. J. Retail Distribut. Manage., 29: 390-398.
CrossRef  |  

Carroll, J., S. Howard, F. Vetere, J. Peck and J. Murphy, 2002. Just what do the youth of today want? Technology appropriation by young people. Proceedings of the 35th Annual Hawaii International Conference on System Sciences, January 10-10, 2002, IEEE, New York, USA., ISBN:0-7695-1435-9, pp: 1777-1785.

Chiasson, M.W. and C.Y. Lovato, 2001. Factors influencing the formation of a user's perceptions and use of a DSS software innovation. ACM. SIGMIS. Database, 32: 16-35.
CrossRef  |  Direct Link  |  

Chin, W., 1998. The Partial Least Squares Approach for Structural Equation Modeling. In: Modern Methods for Business Research, Marcoulides, G.A. (Ed.). Lawrence Erlbaum Associates, New Jersey, pp: 295-336.

Constantiou, I.D., J. Damsgaard and L. Knutsen, 2004. Investigating mobile services adoption and diffusion in the danish market. Proceedings of the IRIS27 Working Conference: Learn IT, Know IT, Move IT, August 14-17, 2004, Falkenberg, Sweden, pp: 1-1.

Crawford, C.M., 1996. New Products Management. 5th Edn., Richard D. Irwin Inc., Chicago.

Danaher, P., B. Hadie and W. Putsis, 2001. Marketing-Mix variables and the diffusion of successive generations of a technological innovation. J. Market. Res., 38: 501-514.
Direct Link  |  

Davis, F.D., 1989. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quart., 13: 319-340.
CrossRef  |  Direct Link  |  

Dishaw, M.T. and D.M. Strong, 1999. Extending the technology acceptance model with task-technology fit constructs. Inform. Manage., 36: 9-21.
CrossRef  |  

Fishbein, M. and I. Ajzen, 1975. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. 1st Edn., Addison-Wesley, Reading, MA., USA., ISBN-13: 9780201020892, Pages: 578.

Fisher, J.C. and R.H. Pry, 1971. A simple substitution model of technological change. Technol. Forecasting Social Change, 3: 75-88.
Direct Link  |  

Hu, P.J., P.Y.K. Chau, O.R.L. Sheng and K.Y. Tam, 1999. Examining the technology acceptance model using physician acceptance of telemedicine technology. J. Manage. Inform. Syst., 16: 91-112.
Direct Link  |  

Jain, D.C., E. Muller and N.J. Vilcassim, 1999. Pricing patterns of cellular phones and phone calls a segment-level analysis. Manage. Sci., 45: 131-139.
Direct Link  |  

Khalifa, M. and S.K. Cheng, 2002. Adoption of mobile commerce: Role of exposure. Proceedings of the 35th Annual Hawaii International Conference on System Sciences, January 07-10, 2002, IEEE, New York, USA., pp: 46-46.

Kshetri, N. and M.K. Cheung, 2002. What factors are driving China's mobile diffusion?. Electron. Markets, 12: 22-26.
Direct Link  |  

Kwon, H. and L. Chidambaram, 2000. A test of the technology acceptance model the case of cellular telephone adoption. Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, January 4-7, 2000, IEEE Compute Society, Press, Los Alamitos, pp: 1-1.

Looney, C.A., L.M. Jessup and J.S. Valacich, 2004. Emerging business models for mobile brokerage services. Commun. ACM, 47: 71-77.
Direct Link  |  

Mallat, N., M. Rossi and V. Tuunainen, 2004. Mobile banking services. Commun. ACM, 47: 42-46.

Morris, M. and V. Venkatesh, 2000. Age differences in technology adoption decisions: Implications for a changing work force. Personnel Psychol., 53: 375-403.
CrossRef  |  Direct Link  |  

Norton, J.A. and F.M. Bass, 1992. Evolution of technological generations: The law of capture. Sloan Manage. Rev., 33: 66-77.
Direct Link  |  

Pedersen, P., 2005. Adoption of mobile Internet services: An exploratory study of mobile commerce early adopters. J. Organizational Comput. Elect. Commerce, 15: 203-222.
Direct Link  |  

Pedersen, P.E. and R. Ling, 2002. Mobile end-user service adoption studies: A selective review. Scand. J. Inf. Syst., 14: 3-3.

Pedersen, P.E., H. Nysveen and H. Thorbjornsen, 2003. Identity expression in the adoption of mobile services: The case of multimedia messaging services SNF Working Paper No. 26/03. Master Thesis, Foundation for Research in Economics and Business Administration, Bergen, Norway.

Pennings, J.M.E. and A. Smidst, 2000. Assessing the construct validity of risk attitude. Manage. Sci., 46: 1337-1348.
CrossRef  |  

Robertson, T.S. and H. Gatignon, 1986. Competitive effects on technology diffusion. J. Marketing, 50: 1-12.
CrossRef  |  Direct Link  |  

Rogers, E.M., 1995. Diffusion of Innovations. 4th Edn., Free Press, New York, USA.,.

Sarker, S. and J.D. Wells, 2003. Understanding mobile handheld device use and adoption. Commun. ACM, 46: 35-40.
Direct Link  |  

Schillewaert, N., M.J. Ahearne, R.T. Frambach and R.K. Moenaert, 2000. The acceptance of technology in the sales force. MBA Thesis, Vlerick Leuven Ghent Management School, Ghent, Belgium.

Straub, D., M. Limayem and E. Karahanna-Evaristo, 1995. Measuring system usage: Implications for IS theory testing. Manage. Sci., 41: 1328-1342.
CrossRef  |  Direct Link  |  

Taylor, S. and P.A. Todd, 1995. Understanding information technology usage: A test of competing models. Inform. Syst. Res., 6: 144-176.
CrossRef  |  Direct Link  |  

Teo, T.S.H., V.K.G. Lim and R.Y.C. Lai, 1999. Intrinsic and extrinsic motivation in internet usage. Omega, 27: 25-37.
CrossRef  |  Direct Link  |  

Venkatesh, V. and F.D. Davis, 2000. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Manage. Sci., 46: 186-204.
CrossRef  |  Direct Link  |  

Venkatesh, V. and S.A. Brown, 2001. A longitudinal investigation of personal computers in homes: Adoption determinants and emerging challenges. MIS Quarterly, 25: 71-102.
Direct Link  |  

Venkatesh, V., 1999. Creation of favorable user perceptions: Exploring the role of intrinsic motivation. MIS Q., 23: 239-260.
Direct Link  |  

Vrechopoulos, A.P., I. Constantiou, N. Mylonopoulos and I. Sideris, 2002. Critical success factors for accelerating mobile commerce diffusion in Europe. Proceedings of the 15th Bled E-commerce Conference E-Reality Constructing the E-Economy, Jun. 17-19, Bled, Slovenia, pp: 477-492.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved