Perceived Values and Their Effects on Intention to Adopt Online Learning

Main Article Content

Boonlert Watjatrakul

Abstract

The concept of perceived value and its effect on technology adoption has received much attention in information systems literature. The value dimensions of theory of consumption value, however, has less focus among IS researchers. The study applies the theory’s value dimensions-functional (quality and monetary values), emotional, social, epistemic, and conditional values to understand their interrelationships and effects on students’ intentions to adopt online learning. The structural equation modelling analysis technique is used to investigate the research model. The results show that conditional value plays an important role to influence students’ intentions to adopt online learning through other values. Emotional and social values have direct effects on intention to adopt online learning. The study extends the knowledge on technology adoption and provides guidance for universities to improve their online learning services to be more valuable perceived by students. The paper discusses the study results, implications for theory and practice, limitations of the study, and direction for future studies.

Article Details

Section
Research Article

References

P. Barrett. “Structural equation modeling: adjudging model fit,” Personal Individual Differences, Vol. 42, pp. 815–824, 2007.

B.J. Babin W.R. Darden and M. Griffin. “Work and/or fun: measuring hedonic and utilitarian shopping value.” Journal of Consumer Research. Vol. 20, pp. 644-56, 1994.

S. Carliner. An Overview of Online Learning, Armherst, MA: Human Resource Development Press, 2004.

Y.C. Chen R.A. Shang and A.K. Lin. “The intention to download music files in a P2P environment: Consumption value, fashion, and ethical decision perspectives,” Electronic Commerce Research and Applications, Vol. 7, pp. 411-422, 2009.

Y.M. Cheng, “Effects of quality antecedents on e-learning acceptance.” Internet Research, Vol. 22, pp. 361-390, 2012.

J.J. Cronin M.K. Brady G.T.M. Hult “Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments,” Journal of Retailing, Vol. 76, pp. 193–218, 2000.

Z. Deng Y. Lu K.K. Wei and J. Zhang, “Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China,” International Journal of Information Management, Vol. 30, pp. 289-300, 2010.

Docebo Report E-Learning Market Trends & Forecast 2014 -2016, Athens, GA: Decebo, 2014

C. Fornell and D.F. Larcker “Evaluating structural equation models with unobservable variables and measurement error”, Journal of Marketing Research, Vol. 18, pp. 39-50, 1981.

J.F. Hair R.E. Anderson R.L. Tatham and W.C. Black. Multivariate Data Analysis. New Jersey: Prentice Hall, 1998.

L-A. Ho, T-H. Kuo and B. Lin. “Influence of online learning skills in cyberspace”, Internet Research, Vol. 20, pp. 55-71, 2010.

M.B. Holbrook. “The nature of customer value: an axiology of services in the consumption experience,” in Service Quality: New Directions in Theory and Practice, Thousand Oaks, CA: Sage Publications, 1994, pp. 21–71.

M.B. Holbrook and E.C. Hirschman. “The experiential aspects of consumption: consumer fantasies, feelings and fun”, Journal of Consumer Research, Vol. 9, pp. 132-140, 1982.

C-L. Hsu and H-P. Lu. “Consumer Behavior in Online Game Communities: a Motivational Factor Perspective”, Computers in Human Behavior, Vol. 23, pp. 1642-1659, 2007.

H.W. Kim H.C., Chan and S. Gupta. “Value-based adoption of mobile internet: an empirical investigation,” Decision Support Systems, Vol. 43, pp. 111-126, 2007.

N. Mallat M. Rossi V.K. Tuunainen and A. Oorni. “The impact of use context on mobile services acceptance: The case of mobile ticketing”, Information & Management, Vol. 46, pp. 190-195, 2009.

J.L. Moore C. Dickson-Deane and K. Galyen. “e-Learning, online learning, and distance learning environments: Are they the same?”, Internet and Higher Education, Vol. 14, pp.129-135, 2011.

M. Pura, “Linking perceived value and loyalty in location-based mobile services,” Managing Service Quality, Vol. 15, pp. 509-538, 2005.

R. Sánchez-Fernández and M. Iniesta-Bonillo “The concept of perceived value: a systematic review of the research”, Marketing Theory, Vol. 7, pp. 427-451, 2007.

J.N. Sheth B.I. Newman and B.L. Gross. Consumption Values and Market Choices: Theory and Applications, Cincinnati, OH: South- Western Publishing, 1991.

J.C. Sweeney and G.N. Soutar “Consumer perceived value: The development of a multiple item scale,” Journal of retailing, Vol. 77, pp. 203-220, 2001.

O. Turel A. Serenko and N. Bontis. “User acceptance of hedonic digital artifacts: A theory of consumption values perspective”, Information & Management, Vol. 47, pp. 53-59, 2010.

J.Y. Tzeng. “Perceived values and prospective users' acceptance of prospective technology: The case of a career portfolio system”, Computers & Education, Vol. 56, pp. 157-165, 2011.

H. Verkasalo C. López-Nicolás F.J. Molina-Castillo and H. Bouwman. “Analysis of users and non-users of smartphone applications”, Telematics and Informatics, Vol. 27, pp. 242-255, 2010.

H-Y. Wang C. Liao and L-H. Yang. “What Affects Mobile Application Use? The Roles of Consumption Values”, International Journal of Marketing Studies, Vol. 5, pp. 11-22, 2013.

K. Yang and L.D. Jolly. “The effects of consumer perceived value and subjective norm on mobile data service adoption between American and Korean consumers”, Journal of Retailing and Consumer Service, Vol. 16, pp. 502-508, 2009.