The Effect of Individual Motivated Propensity on Perceived Characteristics and Use Intentions for Mobile Medical Service

WonIL Joh, ByungTae Yoo, SeungChul Kim

Abstract


This paper attempts to analyze how the psychological factors would have an effect on the user’s intention to make use of the mobile care via smart-phone, identifying the relationships among individual motivation propensity that consists of prevention propensity and promotion propensity, perceived usefulness and ease of use, perceived cost, behavioral use attitude and use intention based on technology acceptance model, and verifying them empirically through the structural equation modeling. The findings are as the followings. First, prevention motivation propensity affects positively on usefulness of smart-phone for mobile care service, but there are no significant indications that it affects on the ease of use and perceived cost. Second, promotion propensity affects positively on perceived ease of use and perceived cost of smart-phone for mobile care service, but there is no significant indication that it affects on perceived usefulness. Third, perceived usefulness and ease of use, and perceived cost affects positively on the use attitude.
In sum, this paper confirms that the prevention propensity and promotion propensity might be used as antecedent variables for developing new smart-phone services of mobile care.

 


Full Text:

PDF

References


Adams, D. A., Nelson, R. R., and Todd, P. A., “Perceived usefulness, ease of use, and usage of information technology： A replication,” MIS Quarterly, Vol. 16, No. 2, pp. 227-247, 1992.

Agarwal, R. and Prasad, J., “A conceptual and operational definition of personal innovativeness in the domain of information technology,” Information Systems Research, Vol. 9, No. 2, pp. 204-215, 1998.

Ajzen, I., “The theory of planned behavior,” Organizational Behavior and Human Decision Processes, Vol. 50, No. 2, pp. 179-211, 1991.

Alhakami, A. S. and Slovic, P., “A psychological study of the inverse relationship between perceived risk and perceived benefit,” Risk Analysis, Vol. 14, No. 6, pp. 1085-1096, 1994.

Anderson, J. C. and Gerbing, D. W., “Structural equation modeling in practice : A review and recommended two- step approach,” Psychological Bulletin, Vol. 103, No. 3, pp. 411-423, 1988.

Armitage, C. J. and Mark Conner, “Efficacy of the theory of planned behaviour : A meta-analytic review,” British Journal of Social Psychology, Vol. 40, No. 4, pp. 471-499, 2001.

Bagozzi, R. P. and Yi, Y., “On the evaluation of structural equation models,” Journal of Academy of Marketing Science, Vol. 16, No 1, pp. 74-94, 1988.

Ballags, R., Borchers, J., Rohs, M., and Sheridan, J. G., “The smart phone : A ubiquitous input device,” IEEE Pervasive Computing, Vol. 5, No. 1, pp. 1-9, 2006.

Bandura, A., Self-Efficacy : The exercise of control, New York : W. H. Freeman, 1997.

Baumgartner, H. J. and Jan-Benedict E. M. Steenkamp, “Exploratory consumer buying behavior : Conceptualization and measurement,” International Journal of Research in Marketing, Vol. 13, No. 2, pp. 121-137, 1996.

Bhattacherjee, A. and Premkumar, G., “Understanding changes in belief and attitude toward information technology usage : A theoretical model and longitudinal Test,” MIS Quarterly, Vol. 28, No. 2, pp. 229-254, 2004.

Bin, F., Jung, C. H., and Chung, Y.-S., “The role of perceived cost toward on continuance intention of mobile TV : Focused on chinese users,” The Journal of Digital Policy and Management, Vol. 11, No. 10, pp. 295-303, 2013.

Bobbitt, L. M. and Dabholkar, P. A., “Integrating attitudinal theories to understanding and predict use of technology- based self-service : The internet as an illustration,” International Journal of Service Industry Management, Vol. 12, No. 5, pp. 423-450, 2001.

Choi, W. G. and Lee, Y. J., “Factors influencing the introduction of mobile security technology,” The Journal of Society for e-Business Studies, Vol. 18, No. 4, pp. 215-240, 2013.

Cowles, D., “Consumer perceptions of interactive media,” Journal of Broadcasting and Electronic Media, Vol. 33, No. 1, pp. 83-89, 1989.

Davis, F. D., “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, Vol. 13, No. 3, pp. 319-340, 1989.

Davis, F. D., Bagozzi, R. P., and Warshaw, P. R., “User acceptance of computer technology : A comparison of two theoretical models,” Management Science, Vol. 35, No. 8, pp. 982-1003, 1989.

Davis, F. D., Technology acceptance model for empirically testing new end user information systems : Theory and results, Doctoral Dissertation, Sloan School of Management, Massachusetts Institute of Technology, 1986.

Dowling, G. R. and Staelin, R., “A model of perceived risk and intended risk-handling activity,” Journal of Consumer Research, Vol. 21, No. 3, pp. 119-134, 1994.

Drucker, P. F., Management challenges for the 21century, Harper Business, 1999.

Egea, J. M. O. and González, M. V. R., “Explaining physiciansʼ acceptance of EHCR systems : An extension of TAM with trust and risk factors,” Computers in Human Behavior, Vol. 27, No. 1, pp. 319-332, 2011.

Fazio, R. H. and Zanna, M. P., “On the predictive validity of attitudes : The roles of direct experience and confidence,” Journal of Personality, Vol. 46, No. 2, pp. 228- 243, 1978.

Festinger, L., A theory of cognitive dissonance, Stanford University Press, 1957.

Fishbein, M. and Ajzen, I., Belief, attitude, intention, and behavior : An introduction to theory and research. reading, MA : Addison-Wesley, 1975.

Fishbein, M. and Ajzen, I., Predicting and changing behavior : The reasoned action approach. New York : Psychology Press, 2010.

Fishbein, M., Readings in attitude theory and measurement, Oxford, England, 1967.

Fornell, C. and Lacker, D. F., “Structural equation models with unobservable variables and measurement errors,” Journal of Marketing Research, Vol. 18, No. 3, pp. 382-388, 1981.

Gage, L. and Berliner, C., Educational psychology, 3rd ed. Boston : Houghton Mifflin Company, 1984.

Garbarino, E. C. and Edell, J. A., “Cognitive effort, affect, and choice,” Journal of Consumer Research, Vol. 24, No. 2, pp. 147-158, 1997.

Gartner, Smart device forcasting report 2013, Survey Report, 2013.

Gefen, D., Karahanna, E., and Straub, D. W., “Trustand TAM in online Shopping : An integrated model,” Mis Quarterly, Vol. 27, No, 1. pp. 51-90, 2003.

Goldsmith, R. E. and Hofacker, C. F., “Measuring consumer innovativeness,” Academy of Marketing Science, Vol. 19, No, 2, pp. 209-211, 1991.

Goldsmith, R. E. and Horowitz, D., “Measuring motivations for online opinion seeking,” Journal of Interactive Advertising, Vol. 6, No. 2, pp. 1-16, 2006.

Halvorson, H. G. and Higgins, E. T., Focus : Use different ways of seeing the world to power success and influence, NY : Hudson Street Press, 2013.

Han, H. J., “The effects of perceived risk and technology type on users’ acceptance of technologies,” Information and Management, Vol. 45, No. 1, pp. 1-9, 2008.

Han, S. I., “Determinants of the user’s intention to use of mobile banking,” The Journal of Society for e-Business Studies, Vol. 10, No. 3, pp. 135-157, 2005.

Higgins, E. T., Beyond pleasure and pain : How motivation works, NY : Oxford University Press, 2012.

Higgins, E. T., Self-discrepancy : A theory relating self and affect, Psychological Review, Vol. 94, pp. 319-340, 1987.

Holak, S. L., “Determinants of innovative duravles adoption : An empirical study with implications for early product screening,” Journal of Product Innovation Management, Vol. 15, No. 3, pp. 50-69, 1988.

Hsiao, C. H. and Yang, C., “The intellectual development of the technology acceptance model,” International Journal of Information Management, Vol. 31, No. 2, pp. 128-136, 2011.

Hubona, G. S. and Geitz, S., “External variables, beliefs, attitudes and information technology usage behavior,” IEEE Computer Society Press, pp. 21-28, 1997.

Im, J. W., Kim, J. I., Hong, S. T., and Lee, Y. J., The theory of consumer behavior, Kyungmoon Publishing, 2007.

Jarvenpaa, S. L. and Todd, P. A., “Consumer reactions to electronic shopping on world wide web,” Journal of Electronic Commerce, Vol. 1, No. 2, pp. 59-88, 1997.

Jayanti, R. K. and Burns, A. C., “The antecedents of preventive health care behavior : An empirical study,” Journal of the Academy of Marketing Science, Vol. 26, No. 1, pp. 6-15, 1998.

Kim, E. J., “The effect of achievement goals and types of feedback on intrinsic motivation and perceived competence,” Master Dissertation, The Graduate School of Korea University, 2003.

Kim, H. G., “The impact of user perceptionon usage intention : Focusing on the moderating role of attitude of acceptance and resistance,” Journal of Information Technology Applications and Management, Vol. 16, No. 2, pp. 65-67, 2009.

Kim, I. H., Management 4.0 and dynamic management, Bibong Publishing, 2012.

Kim, J. H., “A study on the acceptance intention for smartphone : Using an extended TAM,” Master Dissertation, The Graduate School of Konkuk University, 2010.

Kim, K. J., “A Study on acceptance factor of digital multimedia broadcasting,” The Korean Society for Journalism and Communication Studies, Vol. 53, No. 3, pp. 296-323, 2009.

Kim, S. G., “The influences of user environments and intrinsic features of smartphone on the perceived usability and receptivity,” Master Dissertation, The Graduate School of HongIk University, 2009.

Korea Internet and Security Agency, Mobile internet use and attitudes survey 2013, Survey Report, 2013.

Lee, J. O. and Kim, Y. M., “A study on the impact of the app-book purchasing behavior of smart phone users in korea,” The Journal of Society for e-Business Studies, Vol. 18, No. 3, pp. 45-67, 2013.

Lee, K. K. and Jung, Y. S., and Han, C. H., “A study on consumerʼs acceptance of medical internet marketing according to medical departments,” The Journal of Society for e-Business Studies, Vol. 14, No. 1, pp. 121-142, 2009.

Lee, M. S. and Rim, S., “Perceived risk in online purchase of sporting goods, Journal of Information Technology Application and Management,” Vol. 13, No. 2, pp. 127-143, 2006.

Legris, P., Ingham, J., and Collerette, P., “Why do people use information technology? A critical review of the technology acceptance model,” Information and Management, Vol, 40, No. 3, pp. 191-204, 2003.

Maslow, M. H., Motivation and personality, 2nd ed. NY : Harper and Row, 1970.

Mathieson, K., “Predicting user intention : Comparing the technology acceptance model with the theory of planned behavior,” Information Systems Research, Vol. 2, No. 3, pp. 173-191, 1991.

Meuter, M. L., Ostrom, A. L., and Bitner, M. J., Roundtree, R., “The influence of technology anxiety on consumer use and experiences with self service technologies,” Journal of Business Research, Vol. 56, No. 11, pp. 899-906, 2005.

Meuter, M. L., Ostrom, A. L., Bitner, M. J., and Roundtree, R., “Self service technologies : Understanding customer satisfaction with technology based service encounters,” Journal of Marketing, Vol. 64, No. 3, pp. 50-64, 2000.

Michael, A. J., Mothersbaugh, D. L., and Beatty, S. E., “Switching barriers and repurchase intentions in services,” Journal of Retailing, Vol. 76, No. 2, pp. 259-274, 2000.

Mitchell, V. W., “Consumer perceived risk : Conceptualizations models,” European Journal of Marketing, Vol. 33, No. 1, pp. 163- 195, 1999.

Moore, G. C. and Benbasat, I., “Development of an instrument to measure the perceptions of adopting an information technology innovation,” Information Systems Research, Vol. 2, No. 3, pp. 192-222, 1991.

Moore, G. C., An examination of the implementation of information technology by end-users : A diffusion of innovations perspective, University of British Columbia, 1989.

Newby, T. J., “Classroom motivation : Strategies of first-year teachers,” Journal of Educational Psychology, Vol. 83, pp. 195-200, 1991.

Parasuraman, A., “Technology readiness index(TRI) : A multiple item scale to measure readiness to embrace new technologies,” Journal of Service Research, Vol. 2, No. 4, pp. 177-192, 2000.

Parasuraman, A., Zeithaml V. A., and Berry, L. L., “Servqual : A multiple item scale for measuring consumer perceptions of service quality,” Journal of Retailing, Vol. 64, No. 1, pp. 12-37, 1998.

Ram, S., “A model of innovation resistance,” Advances in Consumer Research, Vol. 14, No. 1, pp. 208-212, 1987.

Ritu Agarwal, and Elena Karahanna, “Cognitive absorption and beliefs about information technology usage,” MIS Quarterly, Vol. 24, No. 4, pp. 665-694, 2000.

Rogers, E. M., Communication technology : The new Media and society, New York : The Free Press, 1986.

Rogers, E. M., Diffusion of innovations, 1st ed. Free Press, 1983.

Rogers, E. M., Diffusion of innovations, 4th ed. The Free Press, New York, 1995.

Rogers, E. M., Diffusion of innovations, 5th ed. The Free Press, New York, 2003.

Settle, R. B. and Alreck, P. L., Why they buy : American consumers inside and out, Wiley, 1989.

Tornatzky, L. G. and Klein, K. J., “Innovation characteristics and innovation adoption implementation : A meta analysis of findings,” IEEE Transactions on Engineering Management, Vol. 29, No. 1, pp. 28-45, 1982.

Venkatesh, V. A., “Determinants of perceived ease of use：Integration control, intrinsic motivation, and emotion into the technology acceptance model, Information Systems Research,” Vol. 11, No. 4, pp. 342-365, 2000.

Venkatesh, V. and Bala, H., “Technology acceptance model 3 and a research agenda on interventions,” Decision Sciences, Vol. 39, No. 2, pp. 273-315, 2008.

Venkatesh, V. and Davis, F. D., “A model of the antecedents of perceived ease of use : development and test,” Decision Sciences, Vol. 27, No. 3, pp. 451-481, 1996.

Wixom, B. H. and Todd, P. A., “A theoretical integration of user satisfaction and technology acceptance,” Information Systems Research, Vol. 16, No. 1, pp. 85-102, 2005.

Yi, Y. J. and Gong, T. S., “The effects of customer personality on consumption emotion and service performance : The moderating role of customer contact,” Services Marketing Journal, Vol. 1, No. 1, pp. 7-41, 2008.

Yoo, H. S., Kim, M. Y., and Oh, B. K., “Factors Influencing acceptance of hedonic ubiquitous services,” The Journal of Society for e-Business Studies, Vol. 17, No. 1, pp. 1-21, 2012.

Zaltman, J., How customers think, Harvard Business Press, 2003.


Refbacks

  • There are currently no refbacks.