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A Study on the Acceptance Factors of the Capital Market Sentiment Index
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Suk-Hwan Kim (Department of Computer Science and Engineering, Hanyang University)
Hyoung-Goo Kang (Department of Finance, Business School, Hanyang University)
Vol. 26, No. 3, Page: 1 ~ 36
10.13088/jiis.2020.26.3.001
Keywords
Capital Market, Stock Investment, Unstructured Big Data, Market Sentiment Index, Technology Acceptance Model, Structural Equation Model, Investment Decision Support System MSI, TAM, SEM.
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%.
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A Study on the Acceptance Factors of the Capital Market Sentiment Index
김석환 (한양대학교 공과대학 컴퓨터소프트웨어학부)
강형구 (한양대학교 경영대학 파이낸스경영학과)
Keywords
자본시장, 빅 데이터, 비정형 빅 데이터, 시장심리지수, 기술수용모델, 구조방정식, 투자의사결정 지원시스템, SEM, Market Sentiment Index, MSI
Abstract
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 주관적규범, 소셜 빅 데이터 시스템의 특성요인에 대한 사전인지(지식)등에 포함된 세부 독립변수가 지속적 사용의도에 미치는경로별 영향도의 차이와 통계적 유의성에 대한 분석은 두 집단 간 측정동일성이 확보되지 않아 불가능하였다. 둘째, 두집단 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 사용의도의인과경로에서는 남성이 매우 높은 것으로 유의수준 5%에서 통계적으로 유의한 차이를 보였다.
Cite this article
JIIS Style
Kim, S.-H., and H.-G. Kang, "A Study on the Acceptance Factors of the Capital Market Sentiment Index", Journal of Intelligence and Information Systems, Vol. 26, No. 3 (2020), 1~36.

IEEE Style
Suk-Hwan Kim, and Hyoung-Goo Kang, "A Study on the Acceptance Factors of the Capital Market Sentiment Index", Journal of Intelligence and Information Systems, vol. 26, no. 3, pp. 1~36, 2020.

ACM Style
Kim, S.-H., and Kang, H.-G., 2020. A Study on the Acceptance Factors of the Capital Market Sentiment Index. Journal of Intelligence and Information Systems. 26, 3, 1--36.
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@article{Kim:JIIS:2020:814,
author = {Kim, Suk-Hwan and Kang, Hyoung-Goo},
title = {A Study on the Acceptance Factors of the Capital Market Sentiment Index},
journal = {Journal of Intelligence and Information Systems},
issue_date = {September 2020},
volume = {26},
number = {3},
month = Sep,
year = {2020},
issn = {2288-4866},
pages = {1--36},
url = {http://dx.doi.org/10.13088/jiis.2020.26.3.001 },
doi = {10.13088/jiis.2020.26.3.001},
publisher = {Korea Intelligent Information System Society},
address = {Seoul, Republic of Korea},
keywords = { Capital Market, Stock Investment, Unstructured Big Data, Market Sentiment Index, Technology Acceptance Model, Structural Equation Model, Investment Decision Support System MSI, TAM and SEM.
},
}
%0 Journal Article
%1 814
%A Suk-Hwan Kim
%A Hyoung-Goo Kang
%T A Study on the Acceptance Factors of the Capital Market Sentiment Index
%J Journal of Intelligence and Information Systems
%@ 2288-4866
%V 26
%N 3
%P 1-36
%D 2020
%R 10.13088/jiis.2020.26.3.001
%I Korea Intelligent Information System Society