Journal of Intelligence and Information Systems (지능정보연구)

Korea Intelligent Information System Society (한국지능정보시스템학회)
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A Study on the Acceptance Factors of the Capital Market Sentiment Index

자본시장 심리지수의 수용요인에 관한 연구

  • Kim, Suk-Hwan (Department of Computer Science and Engineering, Hanyang University) ;
  • Kang, Hyoung-Goo (Department of Finance, Business School, Hanyang University)
  • 김석환 (한양대학교 공과대학 컴퓨터소프트웨어학부) ;
  • 강형구 (한양대학교 경영대학 파이낸스경영학과)
  • Received : 2020.07.18
  • Accepted : 2020.09.11
  • Published : 2020.09.30
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Abstract

This study is to reveal the acceptance factors of the Market Sentiment Index (MSI) created by reflecting the investor sentiment extracted by processing unstructured big data. The research model was established by exploring exogenous variables based on the rational behavior theory and applying the Technology Acceptance Model (TAM). The acceptance of MSI provided to investors in the stock market was found to be influenced by the exogenous variables presented in this study. The results of causal analysis are as follows. First, self-efficacy, investment opportunities, Innovativeness, and perceived cost significantly affect perceived ease of use. Second, Diversity of services and perceived benefits have a statistically significant impact on perceived usefulness. Third, Perceived ease of use and perceived usefulness have a statistically significant effect on attitude to use. Fourth, Attitude to use statistically significantly influences the intention to use, and the investment opportunities as an independent variable affects the intention to use. Fifth, the intention to use statistically significantly affects the final dependent variable, the intention to use continuously. The mediating effect between the independent and dependent variables of the research model is as follows. First, The indirect effect on the causal route from diversity of services to continuous use intention was 0.1491, which was statistically significant at the significance level of 1%. Second, The indirect effect on the causal route from perceived benefit to continuous use intention was 0.1281, which was statistically significant at the significance level of 1%. The results of the multi-group analysis are as follows. First, for groups with and without stock investment experience, multi-group analysis was not possible because the measurement uniformity between the two groups was not secured. Second, the analysis result of the difference in the effect of independent variables of male and female groups on the intention to use continuously, where measurement uniformity was secured between the two groups, In the causal route from usage attitude to usage intention, women are higher than men. And in the causal route from use intention to continuous use intention, males were very high and showed statistically significant difference at significance level 5%.

본 연구는 비정형 빅 데이터를 가공하여 추출된 투자자 감성을 반영하여 만든 자본시장 심리지수(Market Sentiment Index: MSI)의 수용요인을 밝히는 것이다. 이를 위해 합리적 행동이론에 근거한 외생변수들을 탐색하고 기술수용모형(Technology Acceptance Model: TAM)을 응용하여 연구모형을 설정하였다. 주식시장에서 투자자에게 제공되는 MSI의 수용은 본 연구에서 제시한 외생변수에 의해 영향을 받는 것으로 확인되었다. 인과관계 분석결과는 다음과 같다. 첫째, 자기효능감, 투자기회확장, 혁신적 성향, 사용비용이 인지된 용이성에 통계적으로 유의하게 영향을 미친다. 둘째, 서비스다양성과 인지된 효익은 인지된 유용성에 통계적으로 유의하게 영향을 미친다. 셋째, 인지된 용이성과 인지된 유용성은 사용태도에 통계적으로 유의하게 영향을 미친다. 넷째, 사용태도는 사용의도에 통계적으로 유의하게 영향을 미치고 독립변수인 투자기회확장이 사용의도에 영향을 미친다. 다섯째, 사용의도는 최종 종속변수인 지속적 사용의도에 통계적으로 유의하게 영향을 미친다. 연구모형의 독립변수와 종속변수 간의 매개효과는 다음과 같다. 첫째, 서비스다양성에서 지속적 사용의도의 인과경로에 간접효과가 0.1491로 유의수준 1%에서 통계적으로 유의하게 나타났다. 둘째, 인지된 효익에서 지속적 사용의도의 인과경로에 간접효과가 0.1281로 유의수준 1%에서 통계적으로 유의하게 나타났다. 다중집단분석에 대한 결과는 다음과 같다. 첫째, 주식투자경험이 있는 집단과 없는 집단의 투자자 태도, 투자자 주관적 규범, 소셜 빅 데이터 시스템의 특성요인에 대한 사전인지(지식)등에 포함된 세부 독립변수가 지속적 사용의도에 미치는 경로별 영향도의 차이와 통계적 유의성에 대한 분석은 두 집단 간 측정동일성이 확보되지 않아 불가능하였다. 둘째, 두 집단 간 측정동일성이 확보된 남, 여 집단의 세부 독립변수가 지속적 사용의도에 미치는 경로별 영향도 차이에 대한 분석결과, 사용태도에서 사용의도의 인과경로에서는 여성이 남성보다 높은 것으로 그리고 사용의도에서 지속적 사용의도의 인과경로에서는 남성이 매우 높은 것으로 유의수준 5%에서 통계적으로 유의한 차이를 보였다.

Keywords

References

  1. Admas, D. A., R. Nelson and P. A. Tood, "Perceived usefulness, ease of use, and usage of information technology: a replication", MIS Quarterly, Vol.16 No2(1992), 227-247. https://doi.org/10.2307/249577
  2. Agarwal, R. and J. Prasad, "The role if innovation characteristics and perceived voluntariness in the acceptance of information technology", Decision Science, Vol.28 No.3(1997), 557-582. https://doi.org/10.1111/j.1540-5915.1997.tb01322.x
  3. Ahn, M. J., "A Study on the Acceptance Factors and Gratification of the early Smart TV Users", Master's Thesis, Graduate School of Mass Communication, Sogang Univ., 2013.
  4. Ajzen, I. (1991). "The theory of planned behavior, Organizational Behavior and Human Processes.", Vol.50, No.2(1991), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
  5. Ajzen, I. and M. Fishbein, "Understanding attitudes and predicting social behaviour", Englewood Cliffs., NJ:Prentice-Hall, 1980
  6. Baek, S. Y., "In Search of Moderators in the Technology Acceptance Model with Meta-Analysis", korean management review, Vol.38, No.5(2009) 1353-1380.
  7. Baker, M. and J. Wurgler, "Investor Sentiment and the Cross-Section of Stock Returns", The Journal of Finance, Vol.61, No.4(2006), 1645-1680. https://doi.org/10.1111/j.1540-6261.2006.00885.x
  8. Baker, M. and J. Wurgler, "Investor Sentiment in the Stock Market", Journal of Economic Perspectives, American Economic Association, Vol.21, No.2(2007) 129-152.
  9. Baloglu, S., "Image variations of Turkey by familiarity index: Informational and experiential dimensions" Tourism management, Vol.22, No.2(2001), 127-133. https://doi.org/10.1016/S0261-5177(00)00049-2
  10. Bentler, P. M., "Comparative fit indexes in structural models", Psychological bulletin, Vol.107, No.2(1990), 238-246 https://doi.org/10.1037/0033-2909.107.2.238
  11. Bollen, J., H. Mao and X. Zeng, "Twitter mood predicts the stock market", Journal of Computational Science, Vol.2, (2001), 1-8. https://doi.org/10.1016/j.jocs.2010.12.007
  12. Chin, W. W. and P. A. Todd, "On the use, usefulness, and ease of use of structural equation modeling in MIS Research: A note of auction", MIS Quarterly, Vol.19, No.2(1995), 237-246. https://doi.org/10.2307/249690
  13. Cho, M. H., "The Role of Prior Knowledge in Information Search and Factors to Influence Search Behavior through the Internet Website of Tourism Destination", Tourism Management and Science, Vol.26, No4(2011) 567-589.
  14. Choi, M. S., "A study on the influence of factors such as personal innovativeness, social influence and user interface on smart phone acceptance : based on an expanded technology acceptance model", Doctoral Dissertation, Graduate School, Ewha Womans Univ., 2011.
  15. Davis, F. D., R. P. Bagozzi and P. R. Warshaw, "Extrinsic and intrinsic motivation to use computers in the work-place", Journal of Applied Social Psychology, Vol.22, (1992) 111-1132.
  16. Davis, F. D., "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, Vol. 13, No.3(1989), 319-340. https://doi.org/10.2307/249008
  17. Duhan, D. F., S. D. Johnson, J. B. Wilcox, and G. D. Harrell, "Influences on consumer use of word-of-mouth recommendation sources", Journal of the academy of marketing science, Vol.25, 283 (1997) https://doi.org/10.1177/0092070397254001
  18. Eastin, M. S. and R. LaRose, "Internet self- efficacy and the psychology of the digital divide", Journal of Computer-Mediated Communication, Vol.6, No.1(2000). [Online] http://jcmc.inciana.edu/vol6/issue1/eastin.html.
  19. Fishbein, M., "An investigation of the relationships between beliefs about an object and the attitude toward that object", Human relations, Vol.16, No.3(1963), 233-239. https://doi.org/10.1177/001872676301600302
  20. Fishbein, M., and I. Ajzen, "Belief, attitude, intention and behavior : An introduction to theory and research", Reading, Mass.: Addison-Wesley Pub. Co. 1975
  21. Fishbein, M., "A theory of reasoned action: Some applications and implications", Nebraska Symposium on Motivation, 27, (1979), 65-116.
  22. Hair, Anderson, Tatham, and Black, "Multivariate data analysis", 4rd ed., Prentice-Hall International, 1995
  23. Han, B., "Investor Sentiment and Option Prices", The Review of Financial Studies, Vol.21, (2008), 387-414. https://doi.org/10.1093/rfs/hhm071
  24. Han, J. E., "The Influence of Media and Interpersonal Communication on Male Cosmetic Consumption and Purchasing Intention: Focused on Rational Behavior Theory", Master's Thesis, Graduate School of Media & Communication, Korea Univ., 2011.
  25. Heo, J., Heo Jun's Easily Followed Amos Structural Equation Model-Basic, Seoul: Hannarae, 2013.
  26. Heo, J., Heo Jun's Easily Followed Amos Structural Equation Model-Expert, Seoul: Hannarae, 2013.
  27. Horst, M., M. Kuttschreuter and J. M. Gutteling, "Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government services in The Netherlands", Computers in Human Behavior, Vol.23, No.4(2007), 1838-1852. https://doi.org/10.1016/j.chb.2005.11.003
  28. Hu, L. T. and P. M. Bentler, "Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives", Structural equation modeling: a multidisciplinary journal, Vol.6, No.1(1999), 1-55. https://doi.org/10.1080/10705519909540118
  29. Kahn H. S. and J. P. Kim, "The Effects of Prior Knowledge and Ad Types on Consumer Attitude between Hedonic and Utilitarian Products", Korean Academy Of Commodity Science & Technology, Vol.25, No.3(2007) 53-60.
  30. Kang J. W. and S. W. Lee, "A User's Adoption of IPTV under a Preannouncing Circumstance : Predictors to Affect IPTV Adoption and Characteristics of Potential Innovators", Korean Journal of Broadcasting and Telecommunication Studies, Vol.21, No.3(2007) 7-46.
  31. Kim G. J., "A Study on Acceptance Factor of Digital Multimedia Broadcasting", Korean Journal of Journalism & Communication Studies, Vol.53. No.3(2009), 296-323.
  32. Kim, J. H., M. K. Kim., and S. H. Hong., Writing thesis with structural equation model., Seoul:Communication Books, 2009
  33. Kim G. S., Structural Equation Model Analysis AMOS 18.0., Seoul:SPSS Academy, 2010.
  34. Kim, E. Y., J. H. Lee., and D. U. Seo., "A Study on the Effect of Organization's Environment on Acceptance Intention for Big Data System", Journal of Information Technology Application & Management, Vol.20, No.4(2013), 1-18. https://doi.org/10.21219/JITAM.2013.20.4.001
  35. Kim, G. J., "The study on constructing acceptance model of digital multimedia broadcasting", Doctoral Dissertation, Graduate School, Sogang Univ., 2007.
  36. Kim, J. O., S. S. Lee., and H. S. Yong., "Automatic Classification Scheme of Opinions Written in Korean", Journal of KISS : Databases, Vol.38, No.6(2011) 423-428.
  37. Kim, J. S. and T. M. Song., "A Study on Initial Characterization of Big Data Technology Acceptance - Moderating Role of Technology User & Technology Utilizer", Journal of The Korea Contents Association, Vol.14, No.9(2014) 538-555. https://doi.org/10.5392/JKCA.2014.14.09.538
  38. Kim, J. S., "A Study on Initial Characteristics of the Acceptance of Innovative Big Data Technology in Korea", Doctoral Dissertation, Graduate School, Ewha Womans Univ., 2015.
  39. Kim, M. S. and P. H. Koo, "A Study on Big Data Based Investment Strategy Using Internet Search Trends", Journal of the Korean Operations Research and Management Science Society, Vol.38, No.4(2013), 53-63. https://doi.org/10.7737/JKORMS.2013.38.4.053
  40. Kim, M. S., "A study on the early users' perception and usage of the interactive television : focused on the use of IPTV", Doctoral Dissertation, Graduate School, Ewha Womans Univ., 2010
  41. Kim, S. G., "The influences of user environments and intrinsic features of smart phone on the perceived usability and receptivity", Master's Thesis, Graduate School of Advertising and Public Relations., 2009.
  42. Kim, S. H. and T. K. Park, "Acceptance Factors of Financial Consumers on Internet Primary Banks", Journal of Industrial Economics and Business, Vol.30, No.2(2017) 589-622. https://doi.org/10.22558/jieb.2017.04.30.2.589
  43. Kim, S. H., "Four empirical essays on investor sentiment and types", Doctoral Dissertation, Graduate School, Hanyang Univ., 2019.
  44. Kim, S. H., E. J. Shin., S. Y. Bae., and H. G. Kang, "Factors affecting the acceptance of Bitcoin", The Journal of Internet Electronic Commerce Resarch, Vol.18 No.3(2018) 187-226.
  45. Kim, S. I., "A study on the acceptance intention for smart phone by the innovation diffusion theory : focused on smart phone non-users", Doctoral Dissertation, Graduate School, Sejong Univ., 2011.
  46. Kim, T. M. and J. S. Han., "A Study for User's Purchasing Intentions of Internet Travel Products - Focused on extended Technology Acceptance Model(TAM)", Tourism Management and Science, Vol.24, No1(2009) 423-428.
  47. Kim, Y. S., S. R. Jung., and N. K. Kim., "Stock-Index Invest Model Using News Big Data Opinion Mining", Journal of Intelligence and Information Systems, Vol.8, No.4(2012), 143-156.
  48. Lee, D. H., H. G. Kang. and C. M. Lee., "Autocorrelation Analysis of the Sentiment with Stock Information Appearing on Big-Data", The Korean Journal of Financial Engineering, Vol.12, No.2(2013), 282-304.
  49. Lee, H. S., J. H. Lim., SPSS 20.0 Manual, Seoul:Jiphyunjae, 2013.
  50. Lee, H. S., K. H. Ahn. and Y. W. Ha., Consumer behavior, Seoul: Beopmunsa, 2003.
  51. Li, A. S., "Exploring the factors influencing the adoption of interactive cable television service in Taiwan", Journal of Broadcasting & Electronic Media, Vol.48, No.3(2004), 466-483. https://doi.org/10.1207/s15506878jobem4803_7
  52. Lin, C. A., "Exploring personal computer adoption dynamics", Journal of Broadcasting & Electronic Media, Vol.42, No.1(1998), 95-112. https://doi.org/10.1080/08838159809364436
  53. Ouellette, J. A. and W. Wood, "Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior", Psychological bulletin, Vol.124, No.1(1998), 54-74 https://doi.org/10.1037/0033-2909.124.1.54
  54. Park, I. K. and H. K. Khng., "Uses and Gratifications of Digital Cable TV Adopters, and Effects of Potential Variables on Adoption of Digital Cable TV". Korean Journal of Broadcasting and Telecommunication Studies, Vol.21, No.6(2007), 156-191.
  55. Porter, E., C. and N. Donthu, "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics", Journal of Business Research, Vol.59, (2006), 999-1007. https://doi.org/10.1016/j.jbusres.2006.06.003
  56. Preis, T., D, Reith and H. E. Stanley, " Complex dynamics of our economic life on different scales: insights from search engine query data", Philosophical Transaction of the Royal Society, Vol.368, (2010), 5707-5719.
  57. Preis, T., Reith, D., Stanley, H., E, (2013). Quantifying trading behavior in financial markets using Google trends, Scientific Report. 3. 1684: 1-5.
  58. Reagan, J., "The difficult world of predicting telecommunication innovations: Factors affecting adoption", Cresskill, New Jersey:Hampton Press Inc. 65-87,
  59. Rogers, E. M., "Diffusion of innovation", 4rd ed. New York: Free Press, 1995
  60. Ruiz, E. J., V. Hristidis, C. Castillo, A. Gionis and A. Jaimes, "Correlating financial time series with micro-blogging activity", In Proceedings of the fifth ACM international conference on Web search and data mining (2012), 513-522.
  61. Ryu, Y. J. and W. S. Gim., "Effects of Linguistic Category Cue on Differential Perception of New Digital Convergence Products", The Korean Journal of Consumer and Advertising Psychology, Vol.11, No.1(2010), 67-93. https://doi.org/10.21074/kjlcap.2010.11.1.67
  62. Seo, I. S., D. H. Lim. and G. H. Kwon., "A Research on Perceptions and Behaviors of Collage Students to Mational Patriot and Veteran: Focusing on Theory of Reasoned Action & Theory of Planned Behavior", Korean Policy Sciences Review, Vol.15 No.2(2011) 141-170.
  63. Sohn, S. H., Y. J. Choi. and H. S. Hwang., "Understanding Acceptance of Smartphone among Adopters Using Extended Technology Acceptance Model", Korean Journal of Journalism & Communication Studies, Vol.55, No.2, 227-251.
  64. Taylor, S. and P. Todd, "Understanding information technology usage: A test of competing models", Information systems Research, Vol.6, (1995), 144-176. https://doi.org/10.1287/isre.6.2.144
  65. Tucker, L. R. and C. Lewis, "A reliability coefficient for maximum likelihood factor analysis". Psychometrika, Vol.38, No.1(1973), 1-10. https://doi.org/10.1007/BF02291170
  66. Venkatesh, V. and F. D. Davis, "A theoretical extension of the technology acceptance model : four longitudinal field studies", Management Science, Vol.46, No.2(2000), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
  67. You, J. H. and C. Park., "A Comprehensive Review of Technology Acceptance Model Researches", Entrue Journal of Information Technology, Vol.9 No.2(2010), 31-50.