• Title/Summary/Keyword: Propensity

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The effects of fashion consumers' moral identity and empathy propensity on ethical consumption attitude and donation behavior (패션 소비자의 도덕적 정체성과 공감성향이 윤리적 소비태도 및 기부행동에 미치는 영향)

  • Lee, Eun-Jin
    • The Research Journal of the Costume Culture
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    • v.29 no.3
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    • pp.307-327
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    • 2021
  • This study analyzed the effects of fashion consumers' moral identity and empathy propensity on ethical consumption attitude and donation behavior, and the effect of ethical consumption attitude on donation behavior. The survey was conducted on consumers over the 20s who experienced the donation of fashion products, 384 responses were used for data analysis. The result showed that the internality and symbolism of moral identity had a positive effect on ethical consumption attitudes. The all factors of empathy propensity positively affected eco-friendly oriented consumption, and cognitive empathy and social empathy positively affected boycott oriented consumption. The cognitive empathy, social empathy and relational empathy positively affected community oriented consumption and practice oriented consumption. Furthermore, social empathy and relational empathy positively affected recycling oriented consumption. The eco-friendly, boycott, community, and recycling oriented consumption positively affected temporal donation. The all factors of ethical consumption attitude positively affected emotional donation, and eco-friendly, community, recycling, and practice oriented consumption positively affected material donations. The internality and symbolism of moral identity positively affected temporal and emotional donation, and the symbolism except internality positively affected material donation. The cognitive empathy, social empathy and relational empathy positively affected the temporal donation and material donation. In addition, the all factors of empathy propensity positively affected emotional donation. The results of this study will contribute to the ethical product strategy, marketing, and sustainable development of the fashion industry.

The Relationship between Consumption Value of Sports Products, Upward Comparison Propensity, and Post-Purchase Happiness in Adolescence

  • Byung-Kwan, Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.1
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    • pp.143-150
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    • 2023
  • This paper aims to investigate the relationship between consumption value of sports products, upward consumption propensity, and post-purchase happiness among adolescents. The subjects of the study were extracted from adolescents in Chungcheong-do by convenience sampling method, and 257 people were used in the final analysis. Statistical methods were frequency analysis, correlation analysis, and regression analysis. The research results are as follows. First, social value and exploratory value, which are sub-factors of consumption value, were shown to have a significant effect on upward consumption propensity, but functional value and self-value were found to be statistically insignificant. Second, social value, self-value, and functional value, which are sub-factors of consumption value, had a significant effect on post-purchase happiness, but exploratory value was found to be statistically insignificant. Third, the upward comparison propensity was found to have a significant effect on post-purchase happiness.

Overview of estimating the average treatment effect using dimension reduction methods (차원축소 방법을 이용한 평균처리효과 추정에 대한 개요)

  • Mijeong Kim
    • The Korean Journal of Applied Statistics
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    • v.36 no.4
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    • pp.323-335
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    • 2023
  • In causal analysis of high dimensional data, it is important to reduce the dimension of covariates and transform them appropriately to control confounders that affect treatment and potential outcomes. The augmented inverse probability weighting (AIPW) method is mainly used for estimation of average treatment effect (ATE). AIPW estimator can be obtained by using estimated propensity score and outcome model. ATE estimator can be inconsistent or have large asymptotic variance when using estimated propensity score and outcome model obtained by parametric methods that includes all covariates, especially for high dimensional data. For this reason, an ATE estimation using an appropriate dimension reduction method and semiparametric model for high dimensional data is attracting attention. Semiparametric method or sparse sufficient dimensionality reduction method can be uesd for dimension reduction for the estimation of propensity score and outcome model. Recently, another method has been proposed that does not use propensity score and outcome regression. After reducing dimension of covariates, ATE estimation can be performed using matching. Among the studies on ATE estimation methods for high dimensional data, four recently proposed studies will be introduced, and how to interpret the estimated ATE will be discussed.

Estimation of Driving Behavior Characteristics through Self-Reported-Based Driving Propensity (자기보고 기반 운전성향을 통한 주행행태 특성 추정 연구)

  • Sooncheon Hwang;Dongmin Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.1
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    • pp.26-41
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    • 2024
  • To ensure safer road conditions, understanding the human factors influencing driving behavior is crucial. However, there are many difficulties in deriving the characteristics of individual human factors that affect actual driving behaviors. Therefore, this study analyzes self-reported dangerous-driving propensities in order to explore potential correlations with drivers' behaviors. The goal is to propose a method for assessing driving tendencies based on varying traffic scenarios. The study employed a questionnaire to gauge participants' propensity to drive dangerously, utilizing a simulator to analyze their driving behaviors. The aim is to determine any notable connections between dangerous-driving propensity and specific driving behaviors. Results indicate that individuals exhibiting a high propensity for reckless driving, as identified by the Korean DBQ, tend to drive at higher speeds and display more aggressive acceleration patterns. These findings contribute to a potential method for assessing reckless driving drivers.

Exploring the Feasibility of Neural Networks for Criminal Propensity Detection through Facial Features Analysis

  • Amal Alshahrani;Sumayyah Albarakati;Reyouf Wasil;Hanan Farouquee;Maryam Alobthani;Someah Al-Qarni
    • International Journal of Computer Science & Network Security
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    • v.24 no.5
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    • pp.11-20
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    • 2024
  • While artificial neural networks are adept at identifying patterns, they can struggle to distinguish between actual correlations and false associations between extracted facial features and criminal behavior within the training data. These associations may not indicate causal connections. Socioeconomic factors, ethnicity, or even chance occurrences in the data can influence both facial features and criminal activity. Consequently, the artificial neural network might identify linked features without understanding the underlying cause. This raises concerns about incorrect linkages and potential misclassification of individuals based on features unrelated to criminal tendencies. To address this challenge, we propose a novel region-based training approach for artificial neural networks focused on criminal propensity detection. Instead of solely relying on overall facial recognition, the network would systematically analyze each facial feature in isolation. This fine-grained approach would enable the network to identify which specific features hold the strongest correlations with criminal activity within the training data. By focusing on these key features, the network can be optimized for more accurate and reliable criminal propensity prediction. This study examines the effectiveness of various algorithms for criminal propensity classification. We evaluate YOLO versions YOLOv5 and YOLOv8 alongside VGG-16. Our findings indicate that YOLO achieved the highest accuracy 0.93 in classifying criminal and non-criminal facial features. While these results are promising, we acknowledge the need for further research on bias and misclassification in criminal justice applications

An Analysis on the Propenity for Conspicuous Consumption of Urban Housewives (도시주부의 과시소비성향에 관한분석)

  • 이기춘
    • Journal of Families and Better Life
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    • v.13 no.4
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    • pp.85-100
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    • 1995
  • The objectives of this study are : 1) To clarify the definition of conspicuous consumption. 2) To examine the degree of conspicuous consumption amongst urban housewives. In this research conspicuous consumption is defined as the use and acquisition of goods and services to ostentatiously display wealty with the purpose of establishing or sustaning a status through the symbolic values of goods and services, The data used in this study included 670 housewives living in Seoul. Statistics used for data analysis were frequencies means standard deviation and one-way anova. The research results can be summarized as follows. First the propensity for conspicuous consumption differs significantly according to wife's age wife's education and husband's job. Second the propensity for conspicuous consumption in high quality and high price preference is high, And the propensity for conspicuous consumption in house and furniture is high.

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Housing consumption and the propensity of residential mobility over family life cycle (가족생활주기별 주거소비 및 주거이동 지향성에 관한 연구)

  • 김순미
    • Journal of Families and Better Life
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    • v.14 no.4
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    • pp.233-248
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    • 1996
  • The purpose of this study were 1) to identify housing consumption over family life cyle and 2) to analyze the propensity of residential mobility and its contributing factors over family life cycle. For these purposes the 1993 KHPS data was used. The sample in this study consisted of 2,796 couple households. Satistics employed for the analysis were frequencies means and logistic regression analysis. As the number of children and the children's age increased the housing consumption increased. There were many factors such as husband's education satisfaction of health and family relations monthly income wealth debt owning a car home ownership duration of residence and the satisfaction with housing contributing to housing consumption and propensity to move. Those with home ownership higher wealth higher satisfaction with health higher expenditure, longer duration of residence and higher satisfaction with housing tend to move more frequently. However those with low educational attai ment less satisfaction with family relation less income and having no debts were likely to move.

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The Propensity for Materialism of Adolescent Consumer and Its Related Factors in Inchon (인천지역 청소년소비자의 물질주의 가치 성향과 관련요인)

  • 이은희;김성숙
    • The Korean Journal of Community Living Science
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    • v.11 no.2
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    • pp.43-59
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    • 2000
  • The objectives of this study are to examine the propensity of materialism of adolescent consumers, to investigate the effects of demographic variables and socio-psychological variables on materialism of adolescent consumers. The survey of this study was conducted by means of self-administered questionnaire with 483 adolescent consumers attending middle school located in Inchon. Major findings are the following : (1) The propensity for materialism of adolescent consumers averages 31.18. This score is beyond the middle slightly. (2) According to the results for examining the relative influences of variables affecting materialism of adolescent consumers, the relative importance of related variables are in the order of ; affecting degree of their friends, the degree of taking in advertisement, affecting degree of school consumer education. Explanatory power of these variables totalled 25.7%.

Recommended Chocolate Applications Based On The Propensity To Consume Dining outside Using Big Data On Social Networks

  • Lee, Tae-gyeong;Moon, Seok-jae;Ryu, Gihwan
    • International Journal of Advanced Culture Technology
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    • v.8 no.3
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    • pp.325-333
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    • 2020
  • In the past, eating outside was usually the purpose of eating. However, it has recently expanded into a restaurant culture market. In particular, a dessert culture is being established where people can talk and enjoy. Each consumer has a different tendency to buy chocolate such as health, taste, and atmosphere. Therefore, it is time to recommend chocolate according to consumers' tendency to eat out. In this paper, we propose a chocolate recommendation application based on the tendency to eat out using data on social networks. To collect keyword-based chocolate information, Textom is used as a text mining big data analysis solution.Text mining analysis and related topics are extracted and modeled. Because to shorten the time to recommend chocolate to users. In addition, research on the propensity of eating out is based on prior research. Finally, it implements hybrid app base.

A Study on the Propensity for Conspicious Consumption of Housewives and It과s Influential Variables (도시주부의 과시소비성향과 영향요인에 관한 연구)

  • 계선자;김태은
    • Journal of Family Resource Management and Policy Review
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    • v.2 no.1
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    • pp.33-46
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    • 1998
  • This study was designed to examine the propensity for conspicious consumption of housewives and its influential variables on it. The purpose of this study also is to suggest some fundamental information of consumer education program and policy, in order to prevent consumers from over consumption. The samples were selected from housewives lived in Seoul, in 1997. The 457 subjects were analyzed by Frequency, Mean, t-test, ANOVA, Duncan’s Multiple Range Test, and Regression. Consequently, the propensity for conspicious consumption of housewives is influenced not only by the individual factor, but also by the more effect of psychological and social effects. Therefore, based on the findings it is required that we will have to reinforce the consumer education, so that they have rational consumer’s conscious based upon desirable values. And this education is treated a matter as important by social view.

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