Asia pacific journal of information systems

The Korea Society of Management Information Systems (한국경영정보학회)
권호 표지

IS Continuance of Hedonic Information Systems

헤도닉 정보시스템의 지속적인 사용에 관한 연구: UCC를 중심으로

  • 서호철 (서울대학교 경영대학) ;
  • 안중호 (서울대학교 경영대학 및 경영전문대학원) ;
  • 양지윤 (한국항공대학교 산학협력단 BK21)
  • Published : 2007.09.30
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Abstract

The Expectation Confirmation Model (ECM) of information systems investigates the continued information systems usage behavior. This paper expands the original post-adoption beliefs and searches the applications in the emerging hedonic information systems. Previous IS researches focused on the organizational environments. However as the information technology (especially internet) evolves, information systems have not only emerged for the organizations but also for the individual users, such as internet portals, internet communities, on-line games etc. These information systems so called Hedonic Information Systems aims to provide self-fulfilling value rather than instrumental value to the users. Researches in other disciplines, including marketing and consumer behavior research, illustrate that the hedonic and utilitarian perspective of goods and services have different influence on the consumer behavior. Goods and services used to be classified into either hedonic or utilitarian aspect but now they may belong to both aspects simultaneously. Moreover consumer's goals or tasks have both hedonic utilitarian aspects. When a consumer makes a decision to purchase or repurchase goods or services, he/she compares the hedonic and utilitarian perspectives of goods to find most suitable ones to satisfy their goals/tasks. Finally, consumer's behavior is determined by the trade-off between what the goods can provide to the consumers and in what extent the goods fulfill consumer's purchase behavior. Consumer also shows that the salience of hedonic perspective is relatively greater when consumer decides which of several items to give up (forfeiture choices) than the time when they decide which item to acquire (acquisition choices). Some researches in MIS discipline have found out that the information systems also have both hedonic and utilitarian perspectives. The decision process of whether to use information systems or not is similar to that of a consumer's decision of purchasing or repurchasing goods or services. However most of researches in MIS tend to focus on the extrinsic motivation variables which only cover the utilitarian perspective of information systems. It is only recent that researches start to investigate the intrinsic motivation variable - Perceived Enjoyment - for the hedonic perspective. Considering the consumer's purchasing decision process, users of information systems evaluate the systems through balancing between intrinsic (hedonic) and extrinsic (utilitarian) variables according to their main tasks or tendencies. This paper proposes a model that is based on the ECM of IS Continuance model modified from Expectation Confirmation Model to fit into the continued usage of information system. It first started from the decision process regarding hedonic and utilitarian perspectives in the consumer behavior literatures. The model deals with continued usage of information systems beyond the mere technology adoption as in most of the previous MIS researches. This research is particularly important to the hedonic information systems, because their business model depends on the frequent usages rather simple adoption at the beginning. Because the basic model only considered the extrinsic motivations (perceived usefulness) to explain the users' behavior and as the information systems can have both hedonic and utilitarian dimensions, it should consider both perspectives. Therefore, this newly proposed model considers intrinsic variable (perceived enjoyment) as well. Since the individual user can have a preference on either aspects that is between the hedonic and utilitarian perspective depending on his/her main tasks or goals, some variables (Hedonic Orientation and Utilitarian Orientation) meaning the extents of users' pursuing from the information system were additionally studied.

Keywords

References

  1. 이순묵, 공변량 구조 분석, 성원사, 1990
  2. 배병렬, 구조방정식모델: 이해와활용, 대경, 2000
  3. 채서일, 사회과학조사방법론, 학현사, 1997
  4. 도토오 야스나리, 아가와 히로시, WEB 2.0 이노베이션 권민 역, 브라이언앤 컴퍼니, 2006
  5. Agarwal, R. and Karahanna, E., "Time Flies when you're having fun: cognitive absorption and beliefs about information technology usage," MIS Quarterly, Vol. 24, No.4, 2000, pp. 665-694 https://doi.org/10.2307/3250951
  6. Ahtola, O.T., "Hedonic and Utilitarian Aspects of Consumer Behavior: an Attitudinal Perspective," Advances in Consumer Research, Vol. 12, No. 1, 1985, pp. 7-10
  7. Ajzen, I. and Fishbein, M., "Understanding Attitudes and Predicting Social Behavior," Englewood Cliffs, NT, Prentice-Hall Inc., 1980
  8. Atkinson, M.A. and Kydd, C., "Individual characteristics associated with world wide web use: an empirical study of playfulness and motivation," The DATABASE for Advances in Information Systems, Vol. 28, No.2, 1997, pp. 53-62
  9. Ayyagari, R., "Examination of Hedonism in TAM Research," the 2006 Southern Association for Information Systems Conference, Jacksonville, Florida, 2006
  10. Babin, B.J., Darden, W.R, and Griffin, M., "Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value," Journal of Consumer Research, Vol. 20, No.4, 1994, pp. 644-656 https://doi.org/10.1086/209376
  11. Banker, R.D., Rajiv, D., and Kauffman, R, et al., "Strategic Information Technology Management: Perspective on Organizational Growth and Competitive Advantage," Harrisburg, PA, Idea Group Publishing, 1993
  12. Batra, R and Ahtola, O.T., "Measuring the Hedonic and Utilitarian Sources of Consumer Attitudes," Marketing Letters, Vol. 2, No.2, 1991, pp. 159-170 https://doi.org/10.1007/BF00436035
  13. Bazerman, M.H., Tenbrunsel, AE., and Wade-Benzoni, K, "Negotiating with Yourself and Losing: Understanding and Managing Conflicting Internal Preferences," Academy of Management Review, Vol. 23, 1998, pp. 225-241
  14. Bhattacherjee, A, "Understanding Information Systems Continuance: an Expectation- Confirmation Model," MIS Quarterly, Vol. 25, No.3, 2001, pp. 351-370 https://doi.org/10.2307/3250921
  15. Browne, M.W. and Cudeck, R, "Alternative ways of assessing model fit," KA Bollen, JS. Long(ed.), Testing structural equation models, Newbury Park, CA, Sage, 1993
  16. Chau, P. and Hu, P., "Examining a model of information technology acceptance by individual professionals: an exploratory study," Journal of Management Information Systems, Vol. 18, No.4, 2002, pp. 191-229
  17. Chaudhuri, A and Holbrook, M.B., "Product- class effects on brand commitment and brand outcomes: The role of brand trust and brand affect," Journal of Brand Management, Vol. 10, No.1, 2002, p. 33 https://doi.org/10.1057/palgrave.bm.2540100
  18. Chen, L.D., Gillenson, M.L., and Sherrell, D.L., "Enticing online consumers: an extended technology acceptance perspective," Information & Management, Vol. 39, No.8, 2002, pp. 705-719 https://doi.org/10.1016/S0378-7206(01)00127-6
  19. Chernev, A., "Goal-Attribute Compatibility in Consumer Choice," Journal of Consumer Psychology, Vol. 14, 2004, pp. 141-150 https://doi.org/10.1207/s15327663jcp1401&2_16
  20. Childers, T.L., Carr, C.L.,.Peck, J., and Carson,S., "Hedonic and utilitarian motivations for online retail shopping behavior," Journal of Retailing, Vol. 77, No.4, 2001, pp. 511-535 https://doi.org/10.1016/S0022-4359(01)00056-2
  21. Chiu, C.M., Hsu, M.H., Sun, S.Y., Lin, T.C., and Sun, P.C., "Usability, quality, value and e-Ieaming continuance decisions," Computers and Education, Vol. 45, No.4, 2005, pp. 399-416 https://doi.org/10.1016/j.compedu.2004.06.001
  22. Crowley, A.E., Spangenberg, E.R and Hughes, K.R., "Measuring the Hedonic and Utilitarian Dimensions of Attitudes Toward Product Categories," Marketing Letters, Vol. 3, No.3, 1992, p. 239 https://doi.org/10.1007/BF00994132
  23. Csikszentmihalyi, M., "Flow: The Psychology of Optimal Experience," New York, Harper and Row, 1990
  24. Davis, P.D., Bagozzi, R.P., and Warshaw, P.R., "User Acceptance of computer technology: a comparison of two theoretical model," Management Science, Vol. 35, No.8, 1989, pp. 982-1003 https://doi.org/10.1287/mnsc.35.8.982
  25. Davis, F.D., Bagozzi, R.P., and Warshaw, P.R., "Extrinsic and intrinsic motivation to use computers in the workplace," Journal of Applied Social Psychology, Vol. 22, 1992, pp. 1111-1132 https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  26. Deci E.L., "Intrinsic Motivation," New York, Plenum Press, 1975
  27. Deci, E.L. and Ryan, R.M., "Intrinsic motivation and self-determination in human behavior," Plenum Press, New York, 1985
  28. Delone, W.H. and Mclean, E.R., "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, Vol. 3, No.1, 1992, pp. 60-95 https://doi.org/10.1287/isre.3.1.60
  29. Deng, X.D., Doll, W.J., and Hendrikson, A.R., et al., "A Multi-group analysis of structural invariance: an illustration using the technology acceptance model," Information & Management, Vol. 42, No.5, 2005, pp. 745-759 https://doi.org/10.1016/j.im.2004.08.001
  30. Devaraj, S., Fan, M., and Kohli, R, "Antecedents of B2C channel satisfaction and preference: Validating e-commerce metrics," Information & Management, Vol. 13, No.3,2002, pp. 316-333
  31. Dhar, R. and Wertenbroch, K., "Consumer Choice Between Hedonic and Utilitarian Goods," Journal of Marketing Research, Vol. 37, No.1, 2000, pp. 60-71 https://doi.org/10.1509/jmkr.37.1.60.18718
  32. Dillon, W., Thomas, R., and Madden, J., et al., "Understanding What's in a Brand Rating: A Model for Assessing Brand and Attribute Effects and Their Relationship to Brand Equity," Journal of Marketing Research, Vol. 38, 2001, pp. 415-419 https://doi.org/10.1509/jmkr.38.4.415.18910
  33. Engel, J.F., Blackwell, R.D., and Miniard, P.W., "Consumer Behavior," Chicago, Dryden, 1993
  34. Fang, X., Chan,S., Brzezinski, J., and Shuang, X., "Moderating Effects of Task Type on Wireless Technology Acceptance," Journal of Management Information Systems, Vol. 22, No.3, 2005
  35. Fazio, R.H. and Zanna, M.P., "Direct Experience and Attitude-Behavior Consistency," Advances in Experimental Social Psychology, New York, Academic Press,1981
  36. Festinger, L.A., "A Theory of Cognitive Dissonance," IL, Rowand Peterson, 1957
  37. Gefen, D., Karahanna, E., and Straub, D.W., "Trust and TAM in online shopping: An integrated model," MIS Quarterly, Vol. 27, No. 1, 2003, pp. 51-90
  38. Gutman, J., "Means-ends chains as goal hierarchies," Psychology & Marketing, Vol. 14,No.6, 1997, pp. 545-560 https://doi.org/10.1002/(SICI)1520-6793(199709)14:6<545::AID-MAR2>3.0.CO;2-7
  39. Heijden, H., "Factors influencing the usage of websites: the case of a generic portal in The Netherlands," Information & Management, Vol. 40,No. 6, 2003,pp. 541-549 https://doi.org/10.1016/S0378-7206(02)00079-4
  40. Heijden, H., "User Acceptance of hedonic information systems," MIS Quarterly, Vol. 28, No. 4, 2004, pp. 695-704
  41. Hirschman, E.C. and Holbrook, M.B., "Hedonic Consumption: Emerging Concepts, Methods and Propositions," Journal of Marketing Research, Vol. 46, No.3, 1982, pp.92-101 https://doi.org/10.1509/jmkr.46.1.92
  42. Hoffman, D.L. and Novak, P.T., "Marketing in hypermedia computer-mediated environments: conceptual fuoundation," Journal of Marketing, Vol. 60, 19961, pp. 50-68 https://doi.org/10.2307/1251841
  43. Holbrook, M.B. and Hirschman, E.C., "The Experiential Aspects of Consumption: Consumer Fantasies, Feelings and Fun," Journal of Consumer Research, Vol. 9, 1982, pp. 132-140 https://doi.org/10.1086/208906
  44. Hong, S. and Kim, J., "Architectural criteria for website evaluation - conceptual framework and empirical validation," Behaviour and Information Technology, Vol. 23, No.5, 2004, pp. 337-357 https://doi.org/10.1080/01449290410001712753
  45. Hong,S., Thong, J.Y.L., and Tam, K.Y., "Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet," Decision Support Systems, Vol. 42, No. 3, 2006, pp. 1819-1834 https://doi.org/10.1016/j.dss.2006.03.009
  46. 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, Vol. 41, 2004, pp.853-868 https://doi.org/10.1016/j.im.2003.08.014
  47. Igbaria, M., Parasuraman, S., and Baroudi, J.J., "A motivational model of microcomputer usage," Journal of Management Information Systems, Vol. 13, No. 1, 1996, pp.127-143
  48. Karahanna, E. and Straub, E.W., "The psychological origins of perceived usefulness and ease of use," Information & Management, Vol. 35, 1999, pp. 237-250 https://doi.org/10.1016/S0378-7206(98)00096-2
  49. Kivetz, Rand Strahilevitz, M., "Factors Affecting Consumer Choices Between Hedonic and Utilitarian Options," Advances in Consumer Research, Vol. 28, No. 1, 2001, p. 325
  50. Koufaris, M., "Applying the technology acceptance model and flow theory to online consumer behavior," Information Systems Research, Vol. 13, No.2, 2002, pp. 205-223 https://doi.org/10.1287/isre.13.2.205.83
  51. Kraut, R, Mukhopadhyay, T., Szczypula, J., Kiesler,S., and Scherlis, B., "Information and Communication: Alternative Uses of the Internet in Households," Information Systems Research, Vol. 10, No.4, 1999, pp. 287-303 https://doi.org/10.1287/isre.10.4.287
  52. Kwon, T.H. and Zmud, R.W., "Unifying the Fragmented Models of Information systems Implementation," R.J. Boland and R.A. Hirschheim(ed.), New York, John Wiley and Sons, 1987
  53. Lee, H.H., Ann, M.F., and Kim, J., "The role of the technology acceptance model in explaining effects of image interactivity technology on consumer responses," International Journal of Retail & Distribution Management, Vol. 34, No.8, 2006, p. 621 https://doi.org/10.1108/09590550610675949
  54. 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, Vol. 42, 2005, pp. 1095-1104 https://doi.org/10.1016/j.im.2003.10.007
  55. Levy, S., "Symbols for sale," Harvard Business Review, Vol. 37, 1959
  56. Lin, C.S., Wu, S., and Tsai, R.J., "Integrating perceived playfulness into expectation-eonfirmation model for web portal context," Information and Management, Vol. 42, No.5, 2005, pp. 683-693 https://doi.org/10.1016/j.im.2004.04.003
  57. Lyytinen, K. and Hirschheim, R, "Information Systems Failures: A Survey and Classification of the Empirical Literature," Oxford Surveys in Information Technology, Vol. 4, 1987, pp. 257-309
  58. Machleit, K.A, Allen, C.T., and Madden, T.J., "The Mature Brand and Brand Interest: An Alternative Consequence of Ad-Evoked Affect," Journal of Marketing, Vol. 57, 1993, pp. 72-87 https://doi.org/10.2307/1252220
  59. Mano, H. and Oliver, R.L., "Assessing the dimensionality and structure of the consumption consumption," Journal of Consumer Research, Vol. 20, No.3, 1993, pp. 451-466 https://doi.org/10.1086/209361
  60. Mathieson, K., "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, Vol. 2, No.3, 1991, pp. 173-191 https://doi.org/10.1287/isre.2.3.173
  61. Moon, J.W. and Kim, Y.G., "Extending the TAM for a WWW context," Information & Management, Vol. 38, 2001, pp. 217-230 https://doi.org/10.1016/S0378-7206(00)00061-6
  62. Mort, G.S. and Rose, T., "The effect of product type on value linkages in the means- end chain: Implications for theory and method," Journal of Consumer Behaviour, Vol. 3, No.3, 2004, pp. 221-234 https://doi.org/10.1002/cb.136
  63. Oliver, R.L., "A Cognitive Model for the Antecedents and Consequences of Satisfaction," Journal of Marketing Research, Vol. 17, 1980, pp. 460-469 https://doi.org/10.2307/3150499
  64. Oliver, R.L., and DeSarbo, W., "Response determinants in satisfaction judgment," Journal of Consumer Research, Vol. 14, 1988, pp. 495-507 https://doi.org/10.1086/209131
  65. Overby, J.W. and Lee, E.-J., "The effects of utilitarian and hedonic online shopping value on consumer preference and intentions," Journal of Business Research, Vol. 59, No. 10/11, 2006, p. 1160 https://doi.org/10.1016/j.jbusres.2006.03.008
  66. Panko, R.R, "Is Office Productivity Stagnant," MIS Quarterly, Vol. 15, No.2, 1991
  67. Park, C., Bernard, W., Jaworski, J., and MacInnis, D.J., "Strategic Brand Concept Image Management," Journal of Marketing, Vol. 50, 1986, pp. 135-145 https://doi.org/10.2307/1251291
  68. Parthasarathy, M. and Bhattacherjee, A, "Understanding Post-Adoption Behavior in the Context of Online Services," Information Systems Research, Vol. 9, No.4, 1998, pp. 362-379 https://doi.org/10.1287/isre.9.4.362
  69. Patterson, P.G., Johnson, L.W., and Spreng, R.A., "Modeling the Determinants of Customer Satisfaction for Business-to-Business Professional Services," Journal of the Academy of Marketing Science, Vol. 25, No.1, 1997, pp. 4-17 https://doi.org/10.1007/BF02894505
  70. Quelch, J.A. and Klein, L.R., "The internet and international marketing," Sloan Management Review, Spring 1996
  71. Saade, R and Bahli, B., "The impact of cognitive absorption on perceived usefulness and perceived ease of use un on-line learning: an extension of technology acceptance model," Information & Management, Vol. 42, 2005, pp. 317-327 https://doi.org/10.1016/j.im.2003.12.013
  72. Schumacker, R and Lomax, R., "A Beginner's Guide to Structural Equation Modeling," Mahwah, NJ, Lawrence Erlbaum, 1996
  73. Segars, A.H. and Grover, V., "Re-examining perceived ease of use and usefulness: a confirmatory factor analysis," MIS Quarterly, Vol. 17, No.4, 1993, pp. 517-527 https://doi.org/10.2307/249590
  74. Shang, R.A, Chen, Y.C., and Shen, L., "Extrinsic versus intrinsic motivations for consumers to shop on-line," Information & Management, Vol. 42, 2005, pp. 401-413 https://doi.org/10.1016/j.im.2004.01.009
  75. Shih, H.P., "An empirical study on predicting user acceptance of e-shopping on the Web," Information & Management, Vol. 41, No.3, 2004, pp. 351-368 https://doi.org/10.1016/S0378-7206(03)00079-X
  76. Sliwa, C. and Collett, S., "Consumers Gripe About Web Shopping," Computenvorld, Vol. 34, No.2, 2000, p. 6
  77. Spreng, R.A, MacKenzie, S.B. and Olshavsky, R.W., "A Reexamination of the Determinants of Consumer Satisfaction," Journal of Marketing, Vol. 60, 1996, pp. 15-32 https://doi.org/10.2307/1251839
  78. Strahilevitz, M.A and Myers, G., "Donations to Charity as Purchase Incentives: How Well They Work May Depend on What You Are Trying to Sell," Journal of Consumer Research, Vol. 24, 1998, pp. 434-446 https://doi.org/10.1086/209519
  79. Taylor, S. and Todd, P., "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, Vol. 6, No.2, 1995, pp. 144-176 https://doi.org/10.1287/isre.6.2.144
  80. Teo, T.S.H., Lim, V.K.G., and Lai, R.Y. C., "Intrinsic and extrinsic motivation in Internet usage," Omega, Vol. 27, No. 1, 1999, pp.25-37 https://doi.org/10.1016/S0305-0483(98)00028-0
  81. Thong, J.Y L., Hong, S. J., and Tam, K.Y., "The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance," International Journal of Human-Computer Studies, Vol. 64, 2006, pp. 799-810 https://doi.org/10.1016/j.ijhcs.2006.05.001
  82. Tse, D.K. and Wilton, P.C., "Models of Consumer Satisfaction: An Extension," journal of Marketing Research, Vol. 25, 1988, pp. 204-212 https://doi.org/10.2307/3172652
  83. Tversky, A and Kahneman, D., "Loss Aversion in Riskless Choice: A Reference-Dependent Model," Quarterly Journal of Economics, Vol. 106, No.4, 1991, pp. 1039-1061 https://doi.org/10.2307/2937956
  84. Vijayasarathy, L.R., "Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model," Information & Management, Vol. 41, No.6, 2004, pp. 747-762 https://doi.org/10.1016/j.im.2003.08.011
  85. Voss, K.E., Spangenberg, E.R. and Grohmann, B., 'easuring the Hedonic and Utilitarian Dimensions of Consumer Attitude,'Journal of Marketing Research, Vol. 40, No.3, 2003, pp. 310-320 https://doi.org/10.1509/jmkr.40.3.310.19238
  86. Vroom, V., "Work and motivation," New York, Wiley, 1964
  87. Webster, J. and Martocchio, J.J., "Microcomputer playfulness: development of a measure with workplace implications," MIS Quarterly, Vol. 16, No.2, 1992, pp. 201-226 https://doi.org/10.2307/249576
  88. Webster, J., Trevino, L., and Ryan, L., "The dimensionality and correlates of flow in human-eomputer interactions," Computer in Human Behavior, Vol. 9, No.4, 1993, pp. 411- 426 https://doi.org/10.1016/0747-5632(93)90032-N
  89. Weill, P. and Broadbent, M., "Leveraging the new infrastructure: how market leaders capitalize on information technology," Boston, Massachusetts: Harvard Business School Press, 1998
  90. Wertenbroch, K., "Consumption Self-Control by Rationing Purchase Quantizes of Virtue and Vice," Marketing Science, Vol. 17, No.4, 1998, pp. 317-337 https://doi.org/10.1287/mksc.17.4.317
  91. Wu, J.E. and Wang, S.C., "What drives mobile commerce? An empirical evaluation of the revised technology acceptance model," Information & Management, Vol. 42, No.5, 2005, pp. 719-729 https://doi.org/10.1016/j.im.2004.07.001
  92. Yi, Y., "A Critical Review of Consumer Satisfaction," V.A. Zeithmal(ed.), Review of Marketing, Chicago, American Marketing Association, Vol. 4 1990
  93. Yu, J., Ha, I., Choi, M., and Rho, J., "Extending the TAM for a t-eommerce," Information & Management, Vol. 42, No.7, 2005, pp. 965-976 https://doi.org/10.1016/j.im.2004.11.001
  94. Zmud, R.W., "Diffusion of Modem Software Practices: Influence of Centralization and formalization," Management Science, Vol. 25, No. 10, 1982, pp. 966-979 https://doi.org/10.1287/mnsc.25.10.966