• 베이커리
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• no.11 s.400
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• pp.116-117
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• 2001

• 베이커리
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• no.5 s.394
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• pp.62-63
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• 2001

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.207-216
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• 2019

The purpose of this study was to analyze the relationships among soccer media involvement experience(SMIE), purchase intent(PI) and continued participation intent(CPI) in soccer clubs and provide basic data necessary for the sustainable growth of soccer clubs and related goods companies. In order to accomplish such study purposes, the study employed a survey method with a total of 327 amateur soccer players residing in G metropolitan city. The data from the survey questionnaires were validated through exploratory factor analysis and reliability test. The data were analyzed through descriptive statistics, correlation analysis and multiple regression analysis at the significance level of .05. Accordingly, following findings were derived from the current study. First, the level of interest was the highest among SMIE factors, followed by challenge and technology. Second, the level of alternative evaluation was the highest among PI factors, followed by purchase recognition, problem recognition, and information search. Third, technology factor in SMIE had a negative effect on PI. Fourth, technology factor in SMIE had a positive effect on CPI. Lastly, among PI factors, problem recognition had a negative effect and alternative evaluation had a positive effect on CPI.

• 베이커리
• /
• no.5 s.406
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• pp.117-117
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• 2002

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.163-171
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• 2018

The study on the satisfaction of leisure sports and the leisure sports. The subjects of the study were selected and recruited 250 members belonging to each community association as the population of the sports club members. The data sampling method was a simple random sampling method based on the self-administration method and was collected after the questionnaire was prepared. A total of 200 questionnaires were analyzed, except for 50 cases in which the reliability of the questionnaire was doubtful. Factor analysis, ${\chi}^2$, factor analysis, reliability analysis, and one - way ANOVA were used for the data analysis. First, there was a significant difference in leisure satisfaction among the participants in the age group. Second, there was a statistically significant difference in leisure satisfaction among the different education levels of participants. Third, there was no significant difference in leisure satisfaction according to monthly average salary.