• Fashion & Textile Research Journal
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• v.7 no.5
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• pp.509-518
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• 2005

In recent years retail competition has intensified, generally as a consequence of technologies, more sophisticated management practices and industry consolidation. An understanding of current customers' loyalty intentions and their determinants is an important basis for the identification of optimal retailer actions. The focus of this study is to examine the links between patronage intention and the effects of various antecedents of current customers' store loyalty intentions in fashion store. 340 female universities students living in Seoul were analyzed by utilizing multiple regressions to investigate the predictability of each of the 4 different sets of variables(consumer value, source of information, clothing benefits, importance of store attributes) on four patronage intentions of apparel shopping(discount store, speciality store, conventional market, Fashion shopping mall). Four factors were significant in predicting conventional market patronage intention. Brand had a negative coefficient, while price, social affiliation, store fashion service/promotion had positive coefficients. Fashion shopping mall were predicted by five factors:brand had a negative coefficient, while media, social affiliation, price, uniqueness had positive coefficients. For specialty store, four factors were significant: brand had a negative coefficient, while store fashion service/promotion, personal sources, uniqueness had positive coefficients. Four factors were significant in predicting discount store patronage intention :price, store fashion service/promotion, social affiliation, variety of price & product had positive coefficients. Despite the relatively low $r^2s$, all four variables appeared to have, to some degree, predictability of choosing among four different types of store for apparel shopping. Based on the results, patronage intention profiles for four retail stores were developed. Marketing implications are discussed.

• Journal of the Korean Mathematical Society
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• v.19 no.2
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• pp.75-82
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• 1983

• Communications of the Korean Mathematical Society
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• v.2 no.2
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• pp.175-181
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• 1987

• Journal of the Korean Mathematical Society
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• v.24 no.1
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• pp.105-111
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• 1987

• Bulletin of the Korean Mathematical Society
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• v.22 no.2
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• pp.101-116
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• 1985

• Journal of the Korean Mathematical Society
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• v.25 no.1
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• pp.53-66
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• 1988

• Bulletin of the Korean Mathematical Society
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• v.22 no.1
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• pp.43-52
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• 1985

• East Asian mathematical journal
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• v.5 no.1
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• pp.69-79
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• 1989

• Plant Resources
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• v.7 no.1
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• pp.54-59
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• 2004

This study was conducted to investigate the relationships between yearly variations of weather elements and productivity in rice. In addition, coefficients of correlation among yield and yield components were used to find out the relationships between weather elements and productivity. Coefficients of variance (C.V.) of air temperature mean was considerable with 25％, but the variation by duration of sunshine was small in May. Culm length and number of spikes were great with c.v. of 21.5, 16.4％, respectively. Coefficients of correlation between temperatures of cultivation in May and yield were positive correlations. Coefficients of correlation between precipitation and sunshine of cultivation period from Oct. to May and yield were negative correlations. Coefficients of correlation amount the culm length, number of spikes, 1,000 grains wt. of seed, and yield were positively significant at the level of 1 ％, respectively.

• Honam Mathematical Journal
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• v.42 no.1
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• pp.1-15
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• 2020

In this work we investigate interrelationships between two arithmetic tables of (cx² + x + 1)^±m. It would give a way to expand (cx²+x+1)^-m by means of the coefficients of (x²+x+1)^m.