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The effects of Dessert Cafe Franchise’s Experiential value on Lovemarks and Brand loyalty: Focusing on the Control Variables by Structural Equation Model

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2018, v.16 no.10, pp.39-46
https://doi.org/https://doi.org/10.15722/jds.16.10.201810.39
Kim, Ki-Soo
Kim, Sung-Hun
Cho, Sung-Ho
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Abstract

Purpose - this research is to examine the relationship between Franchise's experiential value, lovemarks, respectful recognition, and brand loyalty focusing on the control variables. Control variables such as age, occupation, education, monthly income, and kinds of restaurant are included to measure influence on these as well. Research, design, data, and methodology - 500 questionnaires were distributed from June 10th to July 10th, 2017. 225 respondents were totally included in this analysis using SPSS and AMOS program. In order to test hypothesis, factor analysis and reliability verification firstly were employed, and then covariance structure analysis was used. Results - Empirical results are as followed. First, it can be mentioned that the esthetics of dessert cafe is analyzed to have a positive effect on the perception of love and respectful perception. Second, playfulness has a positive effect on perception of love. Third, respect perception has a positive effect on brand loyalty. When variables such as age, occupation, education, monthly income, and restaurant type were used as control variables, only monthly income had a significant effect on respect recognition. This shows that the control variable has a significant effect on the causal relationship of the variables. Conclusions - In summary, it can be stated that it is necessary for marketers to establish marketing strategies in order to boost customers' experiential value such as esthetics of franchise and also to strengthen lovemarks for respectful recognition and brand loyalty.

keywords
Experiential value, Lovemarks, Respectful recognition, Brand loyalty

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The Journal of Distribution Science