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The Relationship between Social Competence and Popularity in Children (아동의 사회적 능력과 인기도간의 관계)

  • Han, Seong Hee
    • Korean Journal of Child Studies
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    • v.9 no.1
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    • pp.81-91
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    • 1988
  • The present research studied the relationship between children's social competence and popularity and examined popularity variables for the prediction of children's social competence. The subjects of this study were 80 children, 40 boys and 40 girls at age 5. Children's social competence was measured by the children's teachers with the use of the Social Competence Scale (Kohn & Rossman, 1972). Children's popularity and unpopularity were obtained from the subjects with the use of Moore's (1973) Sociometric Status Test. Teacher's estimate of the popularity of children was obtained with the use of Connolly & Doyle's (1981) Teacher Rankings of Popularity. The analysis of the data was by Pearson's Correlation Coefficient, and Stepwise Multiple Regression. There were significant relationships between children's social competence and popularity (children's popularity, children's unpopularity, teacher's popularity). Teacher's estimate of child's popularity was the best variable with which to predict children's social competence, the second best variable was children's popularity as measured by Moore's Sociometric Test.

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Relation Among Sociometric Popularity, Perceived Popularity and Aggression in Adolescence (청소년의 사회측정적 인기도 및 지각된 인기도와 공격성과의 관계)

  • Do, Kum-Hae;Choi, Bo-Ga;Lee, Ji-Min
    • Journal of the Korean Home Economics Association
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    • v.43 no.2
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    • pp.57-67
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    • 2005
  • The purpose of this study was to investigate the relationship between sociometric popularity (like-most nomination and like-least nomination) and perceived popularity (most-popular nomination and least-popular nomination ) and to examine the relationships between adolescent aggression (overt, relational, and not prosocial behavior) and each of the popularities. The 377 subjects were selected from first and second graders of middle and high schools. The results of this study were as follows: 1) Sociometric popularity is significantly correlated with least-popular nomination, but not with most-popular nomination. 2) Adolescent aggression is negatively correlated with socimetric popularity, but positively associated with perceived popularity. 3) Sociometric popularity is negatively associated with aggression for only girls, but perceived popularity is positively associated with aggression for both boys and girls. 4) Sociometric popularity is negatively associated with aggression for only middle school students, but perceived popularity is positively associated with aggression for both middle and high students.

Development of Children's Perceptions of Popular and Unpopular Peers (인기아와 비인기아에 대한 아동의 인식 발달)

  • Kang, In-Seol;Chung, Kai-Sook
    • Korean Journal of Child Studies
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    • v.30 no.5
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    • pp.209-224
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    • 2009
  • This study examined the development of children's perceptions of popular and unpopular peers. Subjects were 784 children in kindergarten, $2^{nd}$, $4^{th}$, and $6^{th}$ grades. Research findings were that : (1)socio-metric popularity and perceived popularity correlated positively with athletic ability, academic ability, and prosocial behavior. Whereas two subtypes of aggression(physical aggression and relational aggression) correlated negatively with sociometric popularity, perceived popularity correlated positively with relational aggression in 6th grade. (2)Social behaviors consistently emerged across developmental periods as predictors of popularity. (3)Academic ability was an important characteristic of popular children. (4)Teachers' praise and punishment affected popularity in kindergarten and $2^{nd}$grade children, but peer effect was more important for $4^{th}$ and $6^{th}$graders.

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The Relationship between Perceived Popularity and Aggression in Adolescence : The Mediating Effects of Narcissism (청소년의 지각된 인기도와 공격성 간의 관계에서 자기애의 매개효과)

  • Yun, Hyeon-Hae;Kim, Hee-Hwa;Kim, Kyong-Yeon
    • Korean Journal of Child Studies
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    • v.31 no.4
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    • pp.111-124
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    • 2010
  • The major purpose of this study was to explore mediating effects of narcissism between perceived popularity and aggression in adolescence. The subjects who participated in this study were 783 middle school students based in Busan. The results indicated that perceived popularity and narcissism were positively correlated to overt and relational aggression. The effects of perceived popularity on overt and relational aggression was perfectly mediated by narcissism. Athletic and fighting abilities were more important for boys' perceived popularity, but active involvement in social activity and appearance were more important for girls' perceived popularity. It was further observed that having a good sense of humour was the most important determinant of perceived popularity, irrespective of gender.

Effect of Brand Popularity in a Foreign Market on Consumer Behavior in a Franchise Cosmetic Retailer's Online Shop

  • KIM, Ji-Hern;GONG, Tae Gyung;AHN, So Jung
    • The Korean Journal of Franchise Management
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    • v.11 no.2
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    • pp.17-22
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    • 2020
  • Purpose: As consumers have difficulty in brand choice due to excessive information, using brand popularity as an advertising cue (e.g., Sales No. 1, Hit Product) has been getting more attention as an effective curation strategy for decreasing consumers' cognitive efforts. Accordingly, recent studies empirically demonstrate that consumers tend to prefer and choose a brand with a popularity cue and offer a useful information regarding how to use a popularity cue in marketing communication. However, extant research has mainly focused on investigating the impact of "brand popularity in a domestic market" on consumer behaviors. Thus, little is known about the effect of "brand popularity in a foreign market" on local consumers' decision-making process. Given that domestic consumers tend to purchase imported products from overseas countries, it can be meaningful information for global companies. Therefore, this research derives and tests the five hypotheses to examine how local consumers respond to brand popularity in a foreign market as an advertising cue. Specifically, it tests the three hypotheses regarding the direct and indirect effects of brand popularity in a foreign market on risk perception and purchase intention. Then, it tests two additional hypotheses about moderating effects of psychic distance on the relationship between brand popularity and risk perception as well as on the relationship between brand popularity and purchase intention. Seventy participants are exposed to an advertisement for an Indian cosmetic brand using a popularity cue in Indian market and answer the questions about brand evaluation. For data analysis, regression analysis is employed. The findings of this research show that perceived brand popularity lowers local consumers' perceived risk with a foreign brand. However, perceived brand popularity does not have a direct impact on purchase intention while it has an indirect effect through perceived risk. Meanwhile, psychic distance moderates the effect of perceived brand popularity on perceived risk level, but it has no impact on the relationship between brand popularity and purchase intention. This research is one of the first studies that demonstrate the positive impact of brand popularity in a foreign market on a local consumer's purchase decision, and it shows the effect can be moderated by psychic distance.

Forecasted Popularity Based Lazy Caching Strategy (예측된 선호도 기반 게으른 캐싱 전략)

  • Park, Chul;Yoo, Hae-Young
    • The KIPS Transactions:PartA
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    • v.10A no.3
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    • pp.261-268
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    • 2003
  • In this paper, we propose a new caching strategy for web servers. The proposed strategy collects only the statistics of the requested file, for example the popularity, when a request arrives. At a point of time, only files with higher forecasted popularity are cached all together. Forecasted popularity based lazy caching (FPLC) strategy uses exponential smoothing method for forecast popularity of web files. And, FPLC strategy shows that the cache hit ratio and the cache transfer ratio are better than those produced by other caching strategy. Furthermore, the experiment that is performed with real log files built from web servers shows our study on forecast method for popularity of web files improves cache efficiency.

The Ecological Variables on Adolescent's Popularity (청소년의 사회측정적 인기도에 영향을 미치는 생태학적 변인)

  • Do, Kum-Hae
    • Journal of Families and Better Life
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    • v.25 no.4
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    • pp.43-55
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    • 2007
  • The Purpose of this study was to investigate the ecological variables on adolescent's sociometric popularity. Independent variables were organism(sex, age, aggression, self-esteem, impulsiveness, prosocial behavior, dominance), microsystem(parenting style, family support, friends relationship, teacher support), mesosystem(family-peer relationship, family-school relationship), and exosystem(positive community environment, social support of extended family, school's policy). The subjects were 835 - 1st and 2nd graders of two middle and two high schools in Daegu. Adolescent's sociometric popularity and ecological variables were measured with questionnaire. Adolescent's sociometric popularity was measured with sociometric popularity questionnaire. Organism variables were measured with sex, age, aggression, self-esteem, impulsiveness, prosocial behavior and dominance questionnaire. Microsystem variables were measured with parenting style, family support, friends relationship and teacher support questionnaire. Mesosystem variables were measured with family-peer relationship and family-school relationship questionnaire. Exosystem variables were measured with positive community environment, social support of extended family and school's policy questionnaire. The data analyzed by frequency, percentage, mean, cronbach's $\alpha$, and multiple regression. The major findings were as follows: First, adolescent's sociometric popularity was affected by age, overt aggression, academic self-esteem, social self-esteem, and impulsiveness of organism variables. Second, adolescent's sociometric popularity was affected by mother's affectional parenting, mother's control parenting, and attachment to friends of microsystem variables. Third, adolescent's sociometric popularity was affected by family - peer relationship and family - school relationship of mesosystem variables. Fourth, adolescent's sociometric popularity was affected by appraisal support of extended family, after-school activity, and circle activity of exosystem variables.

Why Popular Employees Engage in Knowledge Sharing: The Motivational Approach (왜 인기 있는 직원이 지식공유를 하는가: 동기부여 관점에서)

  • Kim, Boyoung;Kim, Yonghyun
    • Knowledge Management Research
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    • v.21 no.1
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    • pp.151-173
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    • 2020
  • The purpose of this study is to identify the antecedents that impact on the individual knowledge sharing based on motivational perspectives. Specifically, the authors investigate the roles of general self-efficacy and popularity on knowledge sharing drawn on costly signaling theory and trait activation theory. Data from 227 pairs of employees and coworkers working in companies located in South Korea supported the model. General self-efficacy was positively related to knowledge sharing and popularity was positively associated to knowledge sharing. Also, by taking an interactional approach, our study demonstrated the moderating effect of popularity on the relationship between general self-efficacy and knowledge sharing. The positive relationship between general self-efficacy and knowledge sharing is significant when popularity is low, but not significant when popularity is high. Our findings suggest that the various motivation types including intrinsic and extrinsic motivations for knowledge sharing of individuals exist simultaneously and these motivations have an interactive effect on knowledge sharing.

Comparisons of Popularity- and Expert-Based News Recommendations: Similarities and Importance (인기도 기반의 온라인 추천 뉴스 기사와 전문 편집인 기반의 지면 뉴스 기사의 유사성과 중요도 비교)

  • Suh, Kil-Soo;Lee, Seongwon;Suh, Eung-Kyo;Kang, Hyebin;Lee, Seungwon;Lee, Un-Kon
    • Asia pacific journal of information systems
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    • v.24 no.2
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    • pp.191-210
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    • 2014
  • As mobile devices that can be connected to the Internet have spread and networking has become possible whenever/wherever, the Internet has become central in the dissemination and consumption of news. Accordingly, the ways news is gathered, disseminated, and consumed have changed greatly. In the traditional news media such as magazines and newspapers, expert editors determined what events were worthy of deploying their staffs or freelancers to cover and what stories from newswires or other sources would be printed. Furthermore, they determined how these stories would be displayed in their publications in terms of page placement, space allocation, type sizes, photographs, and other graphic elements. In turn, readers-news consumers-judged the importance of news not only by its subject and content, but also through subsidiary information such as its location and how it was displayed. Their judgments reflected their acceptance of an assumption that these expert editors had the knowledge and ability not only to serve as gatekeepers in determining what news was valuable and important but also how to rank its value and importance. As such, news assembled, dispensed, and consumed in this manner can be said to be expert-based recommended news. However, in the era of Internet news, the role of expert editors as gatekeepers has been greatly diminished. Many Internet news sites offer a huge volume of news on diverse topics from many media companies, thereby eliminating in many cases the gatekeeper role of expert editors. One result has been to turn news users from passive receptacles into activists who search for news that reflects their interests or tastes. To solve the problem of an overload of information and enhance the efficiency of news users' searches, Internet news sites have introduced numerous recommendation techniques. Recommendations based on popularity constitute one of the most frequently used of these techniques. This popularity-based approach shows a list of those news items that have been read and shared by many people, based on users' behavior such as clicks, evaluations, and sharing. "most-viewed list," "most-replied list," and "real-time issue" found on news sites belong to this system. Given that collective intelligence serves as the premise of these popularity-based recommendations, popularity-based news recommendations would be considered highly important because stories that have been read and shared by many people are presumably more likely to be better than those preferred by only a few people. However, these recommendations may reflect a popularity bias because stories judged likely to be more popular have been placed where they will be most noticeable. As a result, such stories are more likely to be continuously exposed and included in popularity-based recommended news lists. Popular news stories cannot be said to be necessarily those that are most important to readers. Given that many people use popularity-based recommended news and that the popularity-based recommendation approach greatly affects patterns of news use, a review of whether popularity-based news recommendations actually reflect important news can be said to be an indispensable procedure. Therefore, in this study, popularity-based news recommendations of an Internet news portal was compared with top placements of news in printed newspapers, and news users' judgments of which stories were personally and socially important were analyzed. The study was conducted in two stages. In the first stage, content analyses were used to compare the content of the popularity-based news recommendations of an Internet news site with those of the expert-based news recommendations of printed newspapers. Five days of news stories were collected. "most-viewed list" of the Naver portal site were used as the popularity-based recommendations; the expert-based recommendations were represented by the top pieces of news from five major daily newspapers-the Chosun Ilbo, the JoongAng Ilbo, the Dong-A Daily News, the Hankyoreh Shinmun, and the Kyunghyang Shinmun. In the second stage, along with the news stories collected in the first stage, some Internet news stories and some news stories from printed newspapers that the Internet and the newspapers did not have in common were randomly extracted and used in online questionnaire surveys that asked the importance of these selected news stories. According to our analysis, only 10.81% of the popularity-based news recommendations were similar in content with the expert-based news judgments. Therefore, the content of popularity-based news recommendations appears to be quite different from the content of expert-based recommendations. The differences in importance between these two groups of news stories were analyzed, and the results indicated that whereas the two groups did not differ significantly in their recommendations of stories of personal importance, the expert-based recommendations ranked higher in social importance. This study has importance for theory in its examination of popularity-based news recommendations from the two theoretical viewpoints of collective intelligence and popularity bias and by its use of both qualitative (content analysis) and quantitative methods (questionnaires). It also sheds light on the differences in the role of media channels that fulfill an agenda-setting function and Internet news sites that treat news from the viewpoint of markets.

Movie Popularity Classification Based on Support Vector Machine Combined with Social Network Analysis

  • Dorjmaa, Tserendulam;Shin, Taeksoo
    • Journal of Information Technology Services
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    • v.16 no.3
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    • pp.167-183
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    • 2017
  • The rapid growth of information technology and mobile service platforms, i.e., internet, google, and facebook, etc. has led the abundance of data. Due to this environment, the world is now facing a revolution in the process that data is searched, collected, stored, and shared. Abundance of data gives us several opportunities to knowledge discovery and data mining techniques. In recent years, data mining methods as a solution to discovery and extraction of available knowledge in database has been more popular in e-commerce service fields such as, in particular, movie recommendation. However, most of the classification approaches for predicting the movie popularity have used only several types of information of the movie such as actor, director, rating score, language and countries etc. In this study, we propose a classification-based support vector machine (SVM) model for predicting the movie popularity based on movie's genre data and social network data. Social network analysis (SNA) is used for improving the classification accuracy. This study builds the movies' network (one mode network) based on initial data which is a two mode network as user-to-movie network. For the proposed method we computed degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality as centrality measures in movie's network. Those four centrality values and movies' genre data were used to classify the movie popularity in this study. The logistic regression, neural network, $na{\ddot{i}}ve$ Bayes classifier, and decision tree as benchmarking models for movie popularity classification were also used for comparison with the performance of our proposed model. To assess the classifier's performance accuracy this study used MovieLens data as an open database. Our empirical results indicate that our proposed model with movie's genre and centrality data has by approximately 0% higher accuracy than other classification models with only movie's genre data. The implications of our results show that our proposed model can be used for improving movie popularity classification accuracy.