Yeolib Kim

On the relationship between coefficient alpha and composite reliability.

Cronbachs coefficient alpha is the most widely used estimator of the reliability of tests and scales. However, it has been criticized as being a lower bound and hence underestimating true reliability. A popular alternative to coefficient alpha is composite reliability, which is usually calculated in conjunction with structural equation modeling. A quantitative analysis of 2,524 pairs of coefficient alpha and composite reliability values derived from empirical investigations revealed that although the average composite reliability value (.86) exceeded the average corresponding coefficient alpha value (.84), the difference was relatively inconsequential for practical applications such as meta-analysis.

Differential innovation of smartphone and application use by sociodemographics and personality

We model sociodemographics and personality on smartphone use.We model sociodemographics and personality on smartphone application use.Sociodemographics play a major role in smartphone behavior.Personality plays a smaller, but significant, role in smartphone behavior. In the current study, we explore predictors of smartphone and smartphone application use in a large, diverse, population representative South Korean sample (N=9482). Sociodemographics (e.g., gender, age, education, and income) were major predictors of smartphone and smartphone application use. Generally, younger, educated, and wealthy individuals tended to use smartphones and smartphone applications to a greater extent. Females tended to use smartphones, e-commerce applications, and relational applications more compared to males. Openness, extraversion, and conscientiousness were associated with increased probability of smartphone ownership. Extraversion was associated with decreased literacy application use and increased relational application use. Conscientiousness was associated with decreased e-commerce application use. These results imply that sociodemographics and personality predict smartphone innovation.

Trust in health information websites: A systematic literature review on the antecedents of trust

Health websites are important sources of information for consumers. In choosing websites, trust in websites largely determines which website to access and how to best utilize the information. Thus, it is critical to understand why consumers trust certain websites and distrust others. A systematic literature review was conducted with the goal of identifying the antecedents of trust in health information websites. After four rounds of screening process, 20 articles between 2000 and 2013 were harvested. Factors that determine trust are classified into individual difference antecedents, website-related antecedents, and consumer-to-website interaction-related antecedents. The most frequently studied antecedents were socio-demographics, information quality, appearance, and perceived reputation of the website. Each antecedent of trust are discussed in detail and future research directions are proposed.

Personality predictors for the use of multiple internet functions

Purpose – The purpose of this paper is to explore how the Big-Five model of personality traits relates to the use of multiple internet functions and test if the relationship differs by gender, age, and education. Design/methodology/approach – To test the research questions, this study uses data from a large-scale survey of 9,479 Korean media users. Poisson’s regression is applied to model the count data, which accounts for the number of internet functions used. In the regression models, the first block entered is socio-demographics followed by a second block including personality traits. Findings – Results indicate that openness to experience and conscientiousness are positively related to using multiple internet functions, whereas emotional stability has a negative relationship. The findings differed depending on age and education. The younger age cohort, with higher levels of conscientiousness and extraversion, are likely to use more internet functions. In addition, the relationship between conscientiou...

Structural change in search engine news service: a social network perspective

This research investigates structural change made by Navers online news section and how it has impacted the overall traffic flow of Koreas online news. This paper examined 45 websites in 2008 and 2010, and the total number of pages viewed within these sites was considered in the analysis. Social network analysis was applied to study the relationships between the news sites. The analysis through degree centrality and Bonacich powers shows that there has been a shift in market leadership. In 2007, Naver, the top search engine in Korea, stepped down from its leading position after they started to provide news services. Daum, the second largest search engine, has taken over the central position as the most influential news site. Based on the results of this study, practical implications for online service markets and theoretical implications for online services are recommended accordingly.

The acceptance of computer technology by teachers in early childhood education

ABSTRACT This study investigated kindergarten teachers’ decision-making process regarding the acceptance of computer technology. We incorporated the Technology Acceptance Model framework, in addition to computer self-efficacy, subjective norm, and personal innovativeness in education technology as external variables. The data were obtained from 160 kindergarten teachers, from public kindergartens in Daejeon, South Korea. According to the results, subjective norm had the strongest effect on computer acceptance. In addition, perceived usefulness and computer self-efficacy had a direct effect on computer technology acceptance. On the other hand, perceived ease of use and personal innovativeness in education technology had an indirect effect on computer technology acceptance. The measures accounted for approximately 32% of the variance of intentions to use computers in kindergartens.

A comparative analysis of infractions in Texas alcohol establishments and adult entertainment clubs

A crucial yet disputed element in the attempt to regulate sexually oriented businesses has been the negative secondary effects these firms have on nearby businesses and residential communities. This paper addresses a new dimension of the negative effects from such businesses by examining data on administrative and criminal infractions inside a large number of sexually oriented businesses and a comparable group of alcohol establishments. We compare administrative and criminal violations data from the Texas Alcohol Beverage Commission for all adult entertainment clubs (AECs) serving alcohol against a randomly selected sample of bars in the State of Texas. We find that there are important differences between the clubs and bars in 10 of the 23 t-test comparisons. What is more, even though alcohol-related infractions are the most common type of infraction for both AECs and for bars, the number of sex- and drug-related offenses was consistently more prevalent for sexually oriented businesses than for bars. In contrast, the bars have much higher numbers of criminal violations, primarily because of the higher incidence of infractions involving minors. This paper contributes to the literature on negative primary and secondary effects of sexually oriented businesses.

Meta-analysis of the relationship between Internet use and political participation: examining main and moderating effects

ABSTRACT Although a growing number of studies are examining the relationship between Internet use and political participation, varying study characteristics make the overall effect size difficult to estimate. Using a meta-analysis, we estimated the mean effect size and tested whether the effect size was influenced by study characteristics. Data for this meta-analysis were derived from 56 papers reporting 63 independent studies. Results revealed that Internet use had a weak relationship with political participation (rc = .22). Moderator analyses demonstrated that type of Internet use, Internet use measure, Internet use for news, type of political participation, sample origin, and survey year significantly moderated the relationship between Internet use and political participation. For instance, Internet use including news (rc = .27) had a significantly stronger relationship with political participation than did Internet use excluding news (rc = .19). European samples (rc = .27) had the largest mean correlation followed by North American samples (rc = .23) and Asian samples (rc = .18) in decreasing order of strength of relationship. The theoretical and methodological implications of the findings are discussed.