• Title/Summary/Keyword: 인과성분석

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Causal Relation Analysis of the Motivation and Benefits Factors Affecting Customers' Purchase Intention of Counterfeit Goods (위조품 구매동기와 사용혜택 요인이 구매의도에 미치는 인과모형분석)

  • Yu, Seung Yeob
    • Journal of Digital Convergence
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    • v.10 no.11
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    • pp.287-293
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    • 2012
  • The present paper attempts to account for customers' purchase intention of counterfeit goods. Based on some previous analyses, we have set up a structured model for analysis with a hope to identify the relationship between benefits from using counterfeit goods and motivational factors to purchase them. It is found, first of all, that motivation for ostentation significantly influences personal benefits from using the counterfeit goods. Second, we also find that motivation for satisfaction does not exert any direct influence on the factors of benefits, though it affects decisions to purchase. Third, motivation for practicability has significant influence on personal and, more strongly, on economic benefits. Fourth, quality has significant influence on both personal and economic benefits. Again, this factor is also more closely related with economic benefits than with personal ones. We hope that we will be able to provide practical tips for those who design and plan public service advertisements that intend to reduce purchasing of counterfeit products.

A Study in Bitcoin Volatility through Economic Factors (경제적 요인으로 살펴본 비트코인의 변동성에 관한 연구)

  • Son, JongHyeok;Kim, JeongYeon
    • The Journal of Society for e-Business Studies
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    • v.24 no.4
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    • pp.109-118
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    • 2019
  • As a result of the United States (U.S) -China trade conflict, the recent instability of the stock market has led many people to invest in Bitcoin, a commodity that many previous studies have interpreted as a safe asset. However, recent Bitcoin market price fluctuations suggest that the asset's stability stems from speculative purchasing trends. Therefore, classifying the characteristics of Bitcoin assets can be an important reference point in analyzing relevant accounting information. To determine whether Bitcoin is a safe asset, this study analyzed the correlation between Bitcoin and economic indicators to verify whether gold and Bitcoin responded similarly in time series analyses. These show that the regression explanatory power between the price of gold and bitcoin is low, thus no relation between the two assets could be drawn. Additionally, the Granger causality analyses of six individual economic variables and Bitcoin did not establish any notable causality. This can be interpreted that short-term price fluctuations have a significant impact on the nature of Bitcoin as an asset.

기업가적 리더십이 조직 구성원의 창의성에 미치는 영향

  • Gwon, Sang-Jip
    • 한국벤처창업학회:학술대회논문집
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    • 2022.04a
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    • pp.187-194
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    • 2022
  • 기존 연구에서는 꾸준히 조직 구성원의 창의성을 향상하는데 있어 리더십이 매우 중요한 역할을 한다는 점을 강조해왔다. 수많은 연구가 리더십과 창의성의 관계를 언급하고 있지만 벤처창업의 핵심이라고 할 수 있는 기업가적 리더십에 관해서는 여전히 연구가 부족한 편이다. 이를 감안, 본 연구는 조직 내 혁신 분위기의 조절효과 및 구성원의 심리적 임파워먼트의 매개효과를 토대로 기업가적 리더십과 구성원의 창의성 간의 인과관계를 분석하였다. 국내 중소·벤처기업에 근무하는 161명의 구성원을 대상으로 설문을 진행, 분석한 결과는 다음과 같다. 첫째, 구성원의 심리적 임파워먼트는 리더의 기업가적 리더십과 구성원의 창의성 간의 관계를 긍정적으로 매개하는 것으로 나타났다. 둘째, 구성원의 심리적 임파워먼트에 미치는 리더의 기업가적 리더십의 효과는 조직의 혁신 분위기가 높을 때 더욱 강하게 발휘되는 것으로 나타났다. 즉, 조직 내 혁신 분위기는 리더의 기업가적 리더십과 구성원의 심리적 임파워먼트의 관계를 긍정적으로 조절하는 것으로 나타났다. 본 연구는 창의적인 벤처기업을 육성하기 위해 리더의 기업가적 리더십과 구성원의 창의성 간의 관계에 대한 포괄적인 시사점을 제공해주었다.

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The Effect of Analytic-holistic Thinking Style on Intentionality Judgment: The role of crime typicality (분석적-종합적 사고 양식이 고의성 판단에 미치는 영향: 범죄 전형성의 역할)

  • Seheon Kim;Taekyun Hur;Seung-Hyuk Choi
    • Korean Journal of Culture and Social Issue
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    • v.29 no.2
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    • pp.253-273
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    • 2023
  • This study was conducted to determine how analytic-holistic thinking style, one of the cultural characteristics, affects intentionality judgment and what role the crime typicality plays in the process. To this end, the psychological mechanism of intentionality judgment was confirmed in cases where the criminal typicality was manipulated by the moral characteristics of the crime perpetrator and victim. As a result, higher the criminal typicality lead to higher intentionality judgement. In addition, it was found that people with relatively holistic thinking style (with high causality and perception of change) judge less of the perpetrator intentionality. In particular, it was confirmed that the analytic-holistic thinking style interacts with criminal typicality and affects the intentionality judgment. Specifically, people with a holistic thinking style (high causality) judged the perpetrator to have high intentionality in typical cases, but judged in a reverse way in atypical cases. It means that, holistic thinkers, compared to analytic thinkers, strongly judge intentionality based on criminal typicality considering the moral characteristics of not only the perpetrators but also the victims. Along with the significance of this study, the relationships among analytic-holistic thinking style, criminal typicality and intentionality judgment were discussed.

Comparative Analysis of the Causal Relationship between Regions of Fluctuations in the Housing Market (주택시장 변동의 지역간 인과성 비교분석)

  • Kim, Kyong-hoon;Jang, Ho-myun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.3
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    • pp.518-527
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    • 2016
  • The housing market is changing continuously according to the place and time and these changes have a ripple effect across various fields. On the other hand, the amount of housing that is consumed in the region also acts as a central cause of price movement. Moreover, the cause of variations in the housing market can be separated according to the characteristics of the housing consumer. In addition, the individual characteristics of the consumer varies according to the region. As a result, a study on the regional causal relationship of the housing market is underway. Although significant research has been done on the domestic home sales market, there has been limited research on the housing charter market. Therefore, in this paper, regional causal relationship of the housing market in the Gangnam and Gangbuk area in Seoul and Gyeonggi Province was analyzed using the vector error correction model, and is segmented by housing sale market and housing jeonse market. In addition, housing sale and housing jeonse of Gangam, Ganbuk and Gyeonggi province are defined as analysis variables, and time series data is the monthly material of June 2003 to November 2015. The results of the analysis, in the case of the housing sale market, showed that fluctuations in house prices in Gangnam area have a major influence on the fluctuations in house prices in the surrounding region. Similarly, in the case of the housing jeonse market, it was found that the jeonse price of Gangnam area has a significant impact on the jeonse price of housing in the surrounding area.

A Study on the Causal Relationship Between Attributes of VR Ad and Advertising Effectiveness: Mediating Effect of the Consumer's Innovation (VR 광고 특성과 광고효과 간의 인과관계에 관한 연구 : 소비자 혁신성의 매개효과)

  • Choi, Yun-Seul;Yu, Seung-Yeob
    • Journal of Digital Convergence
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    • v.17 no.2
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    • pp.37-45
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    • 2019
  • This study investigated whether the model attributes of VR Ads (3D effect, presence, Dynamics, Amusement) affect the attitude of the advertising. We also examined the mediating role of consumer's innovation in the model attributes and advertising attitude of VR advertisements. To do this, VR equipment was used to induce real advertisers to experience advertisements. The causal relationship between variables was examined through covariance structure analysis. The results are as follows. First, all independent variables of the VR advertising model have a positive effect on the consumer's innovation. Second, the 3D effect, Amusement of the VR advertising model have a positive effect on the attitude of the advertising. Third, the effects of the VR advertising model on all variables are mediated by the consumer's innovation of the VR advertisement. The results of this study provide implications for understanding the characteristics of VR Ads.

The Analysis of EU Carbon Prices Using SVECM Approach (SVECM 모형을 이용한 탄소배출권 가격 연구)

  • Bu, Gi-Duck;Jeong, Kiho
    • Environmental and Resource Economics Review
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    • v.20 no.3
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    • pp.531-565
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    • 2011
  • All previous studies analyzing multivariate time series data of EUA (European Union Allowance) price commonly used endogenous variables within the four variables and included the period from April to June of 2006 in the analysis, when the price distortion occurred. This study uses graph theory and structural vector error correction model (SVECM) to analyze the daily time series data of the EUA (European Union Allowance) price. As endogenous variables, five variables are considered for the analysis, including prices of crude oil, natural gas, electricity and coal in addition to carbon price. Data period is Phase 2 period (April 21, 2008 to March 31, 2010) to avoid the EUA price distortion of Phase 1 period (2005~2007). Further, the monthly data including the economic variables as endogenous variables are analyzed.

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SD 모형을 이용한 한국 방위산업의 동태성 연구

  • Seo, Hyeok;O, Gi-Yeol
    • Proceedings of the Korean System Dynamics Society
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    • 2005.10a
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    • pp.23-42
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    • 2005
  • 세계 각 국은 자국의 이익을 보장하기 위해 방위산업의 기반을 강화하고 있고 갈수록 첨단무기체계를 도입 및 개발하고 있는 추세이다. 왜냐하면 방위산업은 평화와 군비경쟁이 공존하는 '균형속의 대결' 양상을 보이는 환경에서 자국의 생존을 위한 중요한 변수이기 때문이다. 한국의 방위산업도 1970년대 이후 괄목할 만한 성장을 이루었으나 구조적인 문제점을 탈피하지 못하였고 이제는 한계점에 도달하였다. 많은 방위산업 분야 전문가들은 현 시점에서 한국 방위산업의 발전과 활성화를 위한 방안들을 제시하였고, 정부에서도 자주국방의 기치 아래 다양한 개혁과 정책을 추구하고 있다. 그러나 대부분의 전문가 제시 내용과 연구 논문들은 방위산업의 대해 제한적으로 정성적인 분석과 대안제시에 국한되어 있는 수준이고 시스템 사고를 통해 인과관계를 분석하여 정책적인 대안을 제시하는 부분이 미흡한 실정이다. 따라서, 본 연구 논문에서는 방위산업의 전반적ㅇ.ㄴ 핵심요인을 식별하고 각 요인들간의 인과관계를 분석하여 한국 방위산업의 인과지도를 제시하였고 이를 통해 구조적인 문제점들을 해결하여 21세기 협력적 자주국방이 가능하도록 정책적인 대안을 제시하였다. 본 논문은 향후 복잡성이 가속화되는 방위산업에서 시스템적 사고를 이해하는데 기여가 될 것이고, 정책을 결정하고 추진하는 의사결정자와 무기체계 획득업무를 담당하는 실무자들에게 반드시 시스템적인 사고에 바탕을 둔 피드백 로프를 고려해야 한다는 것을 인식시킬 수 있을 것이다. 아울러 한국 방위산업의 활성화와 발전에 기여하리라 믿는다.정보통신산업을 미시적 분석이나 세부 항목별 정량적 분석을 통해서가 아니라 산업의 발전 속성 및 경기 순환 등의 관점에서 분석함으로써 정보통신산업 정책의 수립 및 집행을 거시적 안목 하에 정립할 수 있게 한다는 데 의의를 가진다. 또한 경제변수를 묘사하는데 있어 국면전환 확산과정을 사용함으로써 향후 실물옵션 등을 통한 기술 및 무형자산의 가치평가에 있어 기초자산의 움직임을 보다 정확히 포착해 낼 수 있는 프로세스를 제공하였다는데 또 다른 의의를 갖는다고 하겠다. 수 있다. 따라서 성장 ${\cdot}$ 고용 ${\cdot}$ 분배의 조화는 바로 노동효율 증가형 기순혁신이며, 이를 위한 인적자본에의 투자라고 말할 수 있다. 본 연구가 기술경제 패러다임(techno-economic paradigm)의 시각에서 제시하는 한국경제의 성장 ${\cdot}$ 고용 ${\cdot}$ 분배를 위한 정책방향은 다음과 같은 동태적발전과정으로 요약할 수 있다 : 기초과학연구능력 확충 ${\rightarrow}$ 소화 ${\cdot}$ 흡수 ${\cdot}$ 개량 ${\rightarrow}$ 토착화 능력의 배양 ${\rightarrow}$ 자체기술개발, 선진기술 도입, 산업간 및 산업내 기술확산, 국제기술협력 ${\rightarrow}$ 기술혁신의 촉진 ${\rightarro

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A Causal Model Analysis of the Family Health of Baby Boomer Parents and the Marital Preparation Skill of Eco-Boomer Children - Focusing on College-Aged Students - (베이비붐 부모세대의 가족건강성과 에코 자녀세대의 결혼생활준비기술에 대한 인과모형분석 - 대학생 자녀를 중심으로 -)

  • Lee, Sung Hoon
    • Journal of Korean Home Economics Education Association
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    • v.25 no.4
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    • pp.99-111
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    • 2013
  • The purpose of the present study was to examine the causal effects of the family health of baby boomer parents as a determinant of marital preparation skills of eco-boomer children. Subjects in this study consisted of 475 students born before 1992, and whose parents were born from 1955 to 1963. The programs of SPSSWIN 18.0 and LISREL 8.51 were used for data analysis. The result of this study showed that the financial management skills of saving and consumption were the lowest of marital preparation skills of echo-boomer generation. Besides, baby boomer parents' family health perceived by their children was found to be the determinant of the marital preparation skills of eco-boomers. Particularly, the effect of family health was shown to be high on parental role skill, conflict resolution skill, and parenting preparation skill of marital preparation skills, whereas it was revealed to be relatively low on financial management skill. Findings of this study can be used in developing educational programs of marital preparation skills for eco-boomers.

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Forecasting Cryptocurrency Prices in COVID-19 Phase: Convergence Study on Naver Trends and Deep Learning (COVID-19 국면의 암호화폐 가격 예측: 네이버트렌드와 딥러닝의 융합 연구)

  • Kim, Sun-Woong
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.116-125
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    • 2022
  • The purpose of this study is to analyze whether investor anxiety caused by COVID-19 affects cryptocurrency prices in the COVID-19 pandemic, and to experiment with cryptocurrency price prediction based on a deep learning model. Investor anxiety is calculated by combining Naver's Corona search index and Corona confirmed information, analyzing Granger causality with cryptocurrency prices, and predicting cryptocurrency prices using deep learning models. The experimental results are as follows. First, CCI indicators showed significant Granger causality in the returns of Bitcoin, Ethereum, and Lightcoin. Second, LSTM with CCI as an input variable showed high predictive performance. Third, Bitcoin's price prediction performance was the highest in comparison between cryptocurrencies. This study is of academic significance in that it is the first attempt to analyze the relationship between Naver's Corona search information and cryptocurrency prices in the Corona phase. In future studies, extended studies into various deep learning models are needed to increase price prediction accuracy.