Asia pacific journal of information systems

  • 제20권3호
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  • Pages.167-190
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  • 2010
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  • 2288-5404(pISSN)
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  • 2288-6818(eISSN)
한국경영정보학회 (The Korea Society of Management Information Systems)
권호 표지

UCC(user-created-contents) 웹 사이트에서 사용자의 인성이 감정적, 인지적 평가와 UCC 활용에 미치는 영향

The Effect of Users' Personality on Emotional and Cognitive Evaluation in UCC Web Site Usage

  • Moon, Yun-Ji (Division of Business Administration, Pusan National University) ;
  • Kang, So-Ra (Division of Digital Business, Hoseo University) ;
  • Kim, Woo-Gon (College of Business, Florida State University)
  • 발행 : 2010.09.30
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초록

The research conducted here focuses on the effect of factors that affect the behavior of UCC (User Created Content) website users, other than user's rational recognition of how useful a UCC website can be. Most discussions in the existing literature on information systems have focused on users' evaluation how a UCC website can help to attain the users' own goals. However, there are other factors and this research pays attention to an individual's 'personality,' which is stable and biological in nature. Specifically, I have noted here that 'extroversion' and 'neuroticism,' the two common personality factors presented in Eysenck's most representative 'EPQ Model' and 'Big Five Model,' are the two personality factors that affect a site's 'usefulness,' by this I mean how useful does the user consider the website and its content. How useful a site is considered by the user is the other factor that has been regarded as the antecedent factor that influences the adoption of information systems in the existing MIS (Management Information System) research. Secondly, as using or creating a UCC website does not guarantee the user's or the creator's extrinsic motivation, unlike when using the information system within an organization, there is a greater likelihood that the increase in user's activities in relation to a UCC website is motivated by emotional factors rather than rational factors. Thus, I have decided to include the relationship between an individual's personality and what they find pleasurable in the research model. Thirdly, when based on the S-O-R Paradigm of Mehrabian and Russell, the two cognitive factors and emotional factors are finally affected by stimulus, and thus these factors ultimately have an effect on an individual's respondent behavior. Therefore, this research has presented an assumption that the recognition of how useful the site and content is and what emotional pleasure it provides will finally affect the behavior of the UCC website users. Finally, the relationship between the recognition of how useful a site is and how pleasurable it is to useand UCC usage may differ depending on certain situational conditions. In other words, the relationship between the three factors may vary according to how much users are involved in the creation of the website content. Creation thus emerges as the keyword of UCC. I analyzed the above relationships through the moderating variable of the user's involvement in the creation of the site. The research result shows the following: When it comes to the relationship between an individual's personality and what they find pleasurable it is extroverted users who have a greater likelihood to feel pleasure when using a UCC website, as was expected in this research. This in turn leads to a more active usage of the UCC web site because a person who is an extrovert likes to spend time on activities with other people, is sensitive to new experiences and stimuli and thus actively responds to these. An extroverted person accepts new UCC activities as part of his/her social life, rather than getting away from this new UCC environment. This is represented by the term 'Foxonomy' where the users meet a variety of users from all over the world and contact new types of content created by these users. However, neuroticism creates the opposite situation to that created by extroversion. The representative symptoms of neuroticism are instability, stress, and tension. These dispositions are more closely related to stress caused by a new environment rather than this creatingcuriosity or pleasure. Thus, neurotic persons have an uneasy feeling and will eventually avoid the situation where their own or others' daily lives are frequently exposed to the open web environment, this eventually makes them have a negative attitude towards the web environment. When it comes to an individual's personality and how useful site is, the two personality factors of extroversion and neuroticism both have a positive relationship with the recognition of how useful the site and its content is. The positive, curious, and social dispositions of extroverted persons tend to make them consider the future usefulness and possibilities of a new type of information system, or website, based on their positive attitude, which has a significant influence on the recognition of how useful these UCC sites are. Neuroticism also favorably affects how useful a UCC website can be through a different mechanism from that of extroversion. As the neurotic persons tend to feel uneasy and have much doubt about a new type of information system, they actively explore its usefulness in order to relieve their uncomfortable feelings. In other words, neurotic persons seek out how useful a site can be in order to secure their own stable feelings. Meanwhile, extroverted persons explore how useful a site can be because of their positive attitude and curiosity. As a lot of MIS research has revealed that the recognition of how useful a site can be and how pleasurable it can be to use have been proven to have a significant effect on UCC activity. However, the relationship between these factors reveals different aspects based on the user's involvement in creation. This factor of creationgauges the interest of users in the creation of UCC contents. Involvement is a variable that shows the level of an individual's mental effort in creating UCC contents. When a user is highly involved in the creation process and makes an enormous effort to create UCC content (classed a part of a high-involvement group), their own pleasure and recognition of how useful the site is have a significantly higher effect on the future usage of the UCC contents, more significantly than the users who sit back and just retrieve the UCC content created by others. The cognitive and emotional response of those in the low-involvement group is unlikely to last long,even if they recognize the contents of a UCC website is pleasurable and useful to them. However, the high-involvement group tends to participate in the creation and the usage of UCC more favorably, connecting the experience with their own goals. In this respect, this research presents an answer to the question; why so many people are participating in the usage of UCC, the representative form of the Web 2.0 that has drastically involved more and more people in the creation of UCC, even if they cannot gain any monetary or social compensation. Neither information system nor a website can succeed unless it secures a certain level of user base. Moreover, it cannot be further developed when the reasons, or problems, for people's participation are not suitably explored, even if it has a certain user base. Thus, what is significant in this research is that it has studied users' respondent behavior based on an individual's innate personality, emotion, and cognitive interaction, unlike the existing research that has focused on 'compensation' to explain users' participation with the UCC website. There are also limitations in this research. Firstly, I divided an individual's personality into extroversion and neuroticism; however, there are many other personal factors such as neuro-psychiatricism, which also needs to be analyzed for its influence on UCC activities. Secondly, as a UCC website comes in many types such as multimedia, Wikis, and podcasting, these types need to be included as a sub-category of the UCC websites and their relationship with personality, emotion, cognition, and behavior also needs to be analyzed.

키워드

참고문헌

  1. Ajzen, I. and Fishbein, M., Understanding attitudes and predicting social behavior, Englewood Cliffs, NJ: Prentice-Hall, 1980.
  2. Anderson, P., What is web 2.0? ideas, technologies and implications for education, joint information systems Committee, Retrieved from http://www.jisc.ac.ukmedia/documents/ techwatch/tsw0701b.pdf, 2007.
  3. Argyle, M. and Lu, L., "The happiness of extraverts," personality and individual differences, Vol. 11, pp. 1011-1017, 1990. https://doi.org/10.1016/0191-8869(90)90128-E
  4. Bergenwall, M., An overview of emotion theory: incorporating the concept of emotion into service quality research, Meddelanden Working Papers, Swedish School of Economics and Business Administration, Helsinki, 1998.
  5. Bitner, M.J., "Servicescape: the impact of physical surroundings on customers and employees," Journal of Marketing, Vol. 56, No. 2, 1992, pp. 57-67. https://doi.org/10.2307/1252042
  6. Blythe, J., The essence of consumer behaviour, New York: Prentice Hall, 1997.
  7. Brisoux, J.E. and Cheron, E.J., "Brand categorization and product involvement," Advances in Consumer Research, Vol. 17, No. 1, 1990, pp. 101-109.
  8. Bruce, W.D., "Oh, my!," Information Management Journal, Vol. 41, No. 4, 2007, pp. 25-33.
  9. Chen, Q., Gifford, S.J., and Wells, W.D., "Attitude towards the site II: new information," Journal of Advertising Research, Vol. 42, No. 2, pp. 33-45.
  10. Childers, T., 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. 511-536. https://doi.org/10.1016/S0022-4359(01)00056-2
  11. Cho, J., "Likelihood to abort an online transaction: influences from cognitive evaluations, attitudes, and behavioral variables," Information and Management, Vol. 41, 2004, pp. 827-838. https://doi.org/10.1016/j.im.2003.08.013
  12. Chun, H.M. and Yoon, J.S., "A Study on Web 2.0 and UCC: The Evolving Trends and Strategic Implication," KSCI Review, Vol. 15, No.1, 2007, pp. 91-98.
  13. Costa P.T. and McCrae, R.R, "Influence of extraversion and neuroticism on subjective well-being: happy and unhappy people," Journal of Personality and Social Psychology, Vol. 38, 1980, pp. 668-678.
  14. Costa P.T. and McCrae, R.R., Revised NEO personality inventory (NEO-PI-R) and NEO-Five Factor Inventory (NEO-FFI) Professional manual, Odessa, FL: Psychological Assessment Resources, 1992.
  15. Davey, G.C.L., Jubb, M., and Cameron, C, "Catastrophic worrying as a function of changes in problem-solving confidence," Cognitive Therapy and Research, Vol. 20, 1996, pp. 333-344. https://doi.org/10.1007/BF02228037
  16. Davey, G.C.L., Tallis, F., and Capuzzo, N., "Beliefs about the consequences of worrying," Cognitive Therapy and Research, Vol. 20, 1996, pp. 499-520. https://doi.org/10.1007/BF02227910
  17. David, J.P. and Suls, J., "Coping efforts in daily life: role of Big Five traits and problem appraisals," Journal of Personality, Vol. 67, 1999, pp. 265-294. https://doi.org/10.1111/1467-6494.00056
  18. Davis, F.D., "Perceived usefulness, perceived ease of use and user acceptance of information technology," MIS Quarterly, Vol. 13, 1989, pp. 319-340. https://doi.org/10.2307/249008
  19. Davis, F.D., Bagozzi, R.P., and Warshaw, P.R, "Extrinsic and intrinsic motivation to use computers in the workplace," Journal of Applied Social Science, Vol. 35, No. 8, 1992, pp. 1111-1132.
  20. 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, 1989, pp. 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  21. De Wulf, K., Schillewaert, N., Muylle, 5., and Rangarajan, D., "The role of pleasure in web site success," Information and Management, Vol. 43, No. 3, 2006, pp. 434-446.
  22. Diener, E. and Lucas, R.E, Personality and Subjective Well-being, In Kahnemanm, D., Diener, E., and Schwartz, E.(Eds.), Wellbeing: the foundations of a hedonic psychology, NY: Russell Sage Foundation, 1999, pp. 213-229.
  23. Dishaw, M.T. and Strong, D.M., "Extending the technology acceptance model with task-technology fit constructs," Information and Management, Vol. 36, No. 1, 1999, pp. 9-21. https://doi.org/10.1016/S0378-7206(98)00101-3
  24. Diener, E., Suh, E.M., Lucas, R.E, and Smith, H., "Subjective well-being: three decades of progress," Psychological Bulletin, Vol. 125, 1999, pp. 276-302.
  25. Dorn, L. and Mattews, G., "Two further studies of personality correlates of driver stress," Personality and Individual Differences, Vol. 13, 1992, pp. 929-951.
  26. Eaves, L.J. and Eysenck, H.J., "The nature of extraversion: a genetical Analysis," Journal of Personality and Social Psychology, Vol. 32, 1975, pp. 102-112.
  27. Emmons, R.A. and Diener, E., "Influence of impulsivity and sociability on subjective well-being," Journal of Personality and Social Psychology, Vol. 50, 1986, pp. 1211-1215.
  28. Emmons, R.A, Diener, E., and Larsen, R.J., "Choice and avoidance of everyday situations and affect fongruence: two models of reciprocal interactionism," Journal of Personality and Social Psychology, Vol. 51, 1986, pp. 815-826.
  29. Engel, J.F., Blackwell, R.D., and Miniard P.W., Consumer Behavior (8th ed.), Fort Worth, TX: Dryden Press, 1993.
  30. Engel, J.F., Kollat, D.T., and Blackwell, R.D., Consumer Behavior, New York: Dryden Press, 1978.
  31. Etezadi-Amoli, J. and Farhoomand, AF., "A structural model of end user computing satisfaction and user performance," Information and Management, Vol. 30, 1996, pp. 65-73. https://doi.org/10.1016/0378-7206(95)00052-6
  32. Eysenck, H.J. and Eysenck, S.B.G., Manual of the Eysenck personality questionnaire (Junior and Adult), Hodder and Stoughton, 1975.
  33. Eysenck, S.B.G., Eysenck, H.J., and Barrett, P.T., "A revised version of the psychoticism scale," Personality and Individual Differences, Vol. 6, 1985, pp. 21-29. https://doi.org/10.1016/0191-8869(85)90026-1
  34. Fornell, C. and Larcker, D.F., "Evaluating structural equation models with unobservable variables and measurement error," Journal of Marketing Research, Vol. 18, No. 2, 1981, pp. 39-50.
  35. Francis, L.J. and Jones, S.H, "The relationship between the Myers-Briggs type indicator and the Eysenck personality questionnaire among adult churchgoers," Pastoral Psychology, Vol. 48, 2000, pp. 377-384. https://doi.org/10.1023/A:1022036504232
  36. Hambruger, Y.A and Ben-Artzi, E., "The relationship between extraversion and neuroticism and the different uses of the internet," Computers in Human Behavior, Vol. 16, 2000, pp. 441-449. https://doi.org/10.1016/S0747-5632(00)00017-0
  37. Hansen, T., "Understanding consumer perception of food quality: the cases of shrimps and cheese," British Food Journal, Vol. 107, No. 7, 2005, pp. 500-525. https://doi.org/10.1108/00070700510606909
  38. Hong, S.H., "The Criteria for Selecting Appropriate Fit Indices in Structural Equation Modeling and Their Rationales," Korean Journal of Health Psychology, Vol. 19, No. 1, 2000, pp. 161-177.
  39. Hu, L. and Bentler, P.M., "Fit indices in covariance structure modeling: sensitivity to underparameterized model misspecification," Psychological Methods, Vol 3, No. 4, 1998, pp. 424-453.
  40. Igbaria, M., Guimaraes, T., and Davis, G. B., "Testing the determinants of microcomputer usage via a structural equation model," Journal of Management Information Systems, Vol. 11, No. 4, 1995, pp. 87-114.
  41. Im, H.J., Shim, J.T., and Lee, S.S., The Study on Impact of Introduction Characteristics Factor of EMR System on Perceived Usefulness and Ease of Use and Behavioral Intention to Use, The 9th Conference of Korean Academic Society of Business Administration, 2007.
  42. Jung, C.G., Psychological types, Princeton, NJ; Prinston University Press, 1921.
  43. Kang, B.S., Methodology for Causal Analysis, Seoul: Muyok publisher, 1999.
  44. Kolbitsch, J. and Maurer, H., "The transformation of the web: how emerging communities shape the information we consume," Journal for Universal Computer Science, Vol 12, 2006, pp. 187-213.
  45. Kwon, S.M., Yoo, S.J., and Jung, J.H.,"Cognitive characteristics of worriers: Cognitive bias in evaluation of and coping to threat and catastrophizing tendency," Korean Journal of Health Psychology, Vol. 20, No. 3, 2001, pp. 467-487.
  46. Langford, C. and Glendon, A.I, "Effects of neuroticism, extraversion, circadian type and age on reported driver stress," Work and Stress, Vol. 16, 2002, pp. 316-334. https://doi.org/10.1080/0267837021000059019
  47. Larsen, R.J. and Ketelaar, T., "Personality and Susceptibility to Positive and Negative Emotional States," Journal of Personality and Social Psychology, Vol. 61, 1991, pp. 132-140.
  48. Lauver, S.L. and Johnson, J.L., "The role of neuroticism and social support in older adults with chronic stress behavior," Personality and Individual Differences, Vol. 23, 1997, pp. 165-167. https://doi.org/10.1016/S0191-8869(97)00001-9
  49. Lazar, I., "Creating enterprise 2.0 from web 2.0," Business Communications Review, Vol. 37, No. 8, 2007, pp. 14-16.
  50. Lee, E.K., The effects of neuroticism and extraversion on subjective well-being: the importance of depression and positive emotions, master's thesis, Yonsei University, 2005.
  51. Lee, H.J., Kim, Y.J., and Kang, S.R, "Understanding Personal and Cultural Factors on the Level of UCC Participation: Centered on Korea and U.S.A," Korean Journal of Contents, Vol. 9, No. 2, 2009, pp. 216-232. https://doi.org/10.5392/JKCA.2009.9.2.216
  52. Lee, H.S., Psychology of Personality and Individual differences, Seoul: Woosung, 1989.
  53. Lim, L.K.S. and Razzaque, M.A., "Brand loyalty and situational effects: an interactionist perspective," Journal of International Consumer Marketing, Vol. 9, No. 4, 1997, pp. 95-115. https://doi.org/10.1300/J046v09n04_06
  54. Lucas, H.C. Jr., Computer based information systems in organizations. Chicago, IL; Science Research Associates, Inc, 1973.
  55. Lucas, H.C. Jr., Implementation, the key to successful information systems, Columbia University Press: New York, 1981.
  56. Lucas, R.E. and Diener, E., "Understanding extraverts' enjoyment of social situations: the importance of pleasantness," Journal of Personality and Social Psychology, Vol. 81, 2001, pp. 343-356.
  57. Lucas, R.E. and Fujita, F., "Factors influencing the relation between extraversion and pleasant affect," Journal of Personality and Social Psychology, Vol. 79, 2000, pp. 1039-1056.
  58. Maddi, S.R, Persoanlity theories: a comparative analysis (5th ed.), Homewood, IL; Dorsey, 1989.
  59. Mathieson, K., "Predicting user intentions: comparing the technology of planned behavior," Information Systems Research, Vol. 2, No. 3, 1991, pp. 173-191. https://doi.org/10.1287/isre.2.3.173
  60. McElroy, J.C, Hendrickson, A.R, Townsend, A.M., and DeMarie, S.M., "Dispositional factors in internet use: personality versus cognitive style," MIS Quarterly, Vol. 31, 2007, pp. 809-820.
  61. Mehrabian, A. and Russell, J.A., An approach to environmental psychology, Cambridge: MIT Press, 1974.
  62. Myers, T.B., The Myers-Briggs type indicator, Princeton, NJ; Educational Testing Service, 1962.
  63. Newcomb, M.D., Huba, G.T., and Bentler, P.M., "Determinants of sexual and dating behaviors among adolescence," Journal of Personality and Social Psychology, Vol. 50, 1986, pp. 428-438.
  64. Noh, A.Y. and Kang, Y.S., Personality Psychology, Seoul: Hajisa, 2006.
  65. Nunnally, J., Psychometric Theory (2nd ed.), New York: McGraw-Hill, 1978.
  66. Park, S.A and Song, K.J., "The Effect of Social anxiety on Psychological Adaptation," Korean Journal of Health Psychology, Vol. 11, No. 2, 2005, pp. 1-29.
  67. Park, H.J., Consumer's evaluation of the internet shopping mall, master's thesis, Seoul National University, 1999.
  68. Patwardhan, P., "Exposure, involvement and satisfaction with online activities: a cross-national comparison of American and Indian Internet users," International Communication Gazette, Vol. 66, No. 5, 2004, pp. 411-436. https://doi.org/10.1177/0016549204045920
  69. Pavot, W., Diener, E., and Fujita, F., "Extraversion and happiness," Personality and Individual Differences, Vol. 11, 1990, pp. 1299-1306. https://doi.org/10.1016/0191-8869(90)90157-M
  70. Ryu, K. and Jang, S., "The effect of environmental perceptions on behavioral intentions through emotions: the case of upscale restaurants," Journal of Hospitality and Tourism Research, Vol. 31, No. 1, 2007, pp. 56-72. https://doi.org/10.1177/1096348006295506
  71. Sheppard, B.H., Hartwick, J., and Warshaw, P.R., "The theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research," Journal of Consumer Research, Vol. 15, 1988, pp.325-343. https://doi.org/10.1086/209170
  72. Tellegen, A., Structures of mood and personality and their relevance to assessing anxiety with an emphasis on self-report. In Tuma, A.H., and Maser, J.D. (eds.), Anxiety and the anxiety disorders, NJ: Erlbaum, Hillsdale, 1985, pp. 681-706.
  73. Twenge, J.M., "The age of anxiety? Birth cohort change in anxiety and neuroticism," Journal of Personality and Social Psychology, Vol. 79, 2000, pp. 1007-1021.
  74. Venkatesh, V. and Davis, F.D., "A theoretical extension of the Technology Acceptance Model: four longitudinal field studies," Management Science, Vol. 46, 2000, pp. 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
  75. Venkatesh, V., "Determinants of perceived rase of use: integrating control, intrinsic motivation, and emotion into the Technology Acceptance Model," Information Systems Research, Vol. 11, No. 4, 2000, pp. 342-365. https://doi.org/10.1287/isre.11.4.342.11872
  76. Vickery, G. and Wunsch-Vincent, S., Participative web and user-created content: web 2.0, wikis, and social networking, Paris: Organization for Economic Cooperation and Development, 2006.
  77. Watson, D. and Hubbard, B., "Adaptational style and dispositional structure: coping in the context of the five factor model," Journal of Personality, Vol. 64, 1996, pp. 737-774. https://doi.org/10.1111/j.1467-6494.1996.tb00943.x
  78. Webster, J. and Martocchio, J.J., "Microcomputer playfulness: development of a measure with workplace implication," MIS Quarterly, Vol. 16, No. 2, 1992, pp. 201-226. https://doi.org/10.2307/249576
  79. Vi, I.H., "Personality, Uplifts/Hassles, and Subjective Well-Being: An Application to the NEO Personality Model," Korean Journal of Health Psychology, Vol. 2, No. 1, 1997, pp. 209-219.
  80. Yi, M.Y. and Hwang, Y., "Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model," International Journal of Human-Computer Studies, Vol. 59, No. 4, 2003, pp. 431-449. https://doi.org/10.1016/S1071-5819(03)00114-9
  81. Yoo, H,J., "The Influence of Personality on Subjective Well-Being of the Elder: With Reference to Extraversion and Neuroticism," Korean Journal of Clinical Psychology, Vol. 6, No. 1, 1987, pp. 1-8.
  82. Zajonc, R.B., "Feeling and thinking: preferences need no inferences," American Psychologist, Vol. 35, 1980, pp. 151-175.
  83. Zuckerman, M., Kuhlman, D.M., Joireman, J., Teta, P., and Kraft, M., "A comparison of three structural models for personality: the big three, the big five, and the alternative five," Journal of Personality and Social Psychology, Vol. 65, 1993, pp. 757-768.