• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.8
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• pp.1086-1097
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• 1999

본 연구는 청바지 제품 소비자가 쇼핑시 제품이 품절된 상황에 접했을 때 보여주는 상표 전환행동에 관한 것이다. 의류 매장 관리자의 적시 적량의 제품 입고 관리 능력이 부족할 때 발생하게 될 손실을 유추해 보고 어떤 유형의 소비자가 상표 전환을 쉽게 일으키느니를 규명하는 것은 더욱 효과적인 매장 운영 소비자 만족과 고객 관리를 위해 의미있는 일일 것이다. 본 연구는 다음과 같은 목적을 가진다. 1) 제품 품절시 소비자들은 어떤 상표전환 행동을 보이는지 밝힌다. 2) 제품 품절시 대체 상표제품을 구매할 경우 대체 상표 제품의 가격의 영향력이 상표전환 행동과 어떤 관련을 보이는지 밝힌다. 3) 소비자의 쇼핑지향성, 상표충성, 애고 행동, 인구통제적 특성(성별)이 상표전환 행동에 미치는 영향력을 밝힌다. 이러한 목적을 위해 본 연구는 1997년 3월 버지니아주 블랙스버그에 소재한 버지니아 주립대학교 110명의 학생들을 대상으로 설문조사를 이용한 양적연구를 실시하였다 남녀학생 모두가 소비자로서의 역할을 담당할 수 있는 청바지를 선택하여 상표전환 행동에 대한 설문에 답하게 한후 t-test 와 카이 분석을 실시하였다 그결과 20%의 응답자가 품절기 상표전환 행동을 보이는 것을 나타났다 쇼핑시간과 편의성을 덜 중요하게 여기거나 강한 상표 충성을 보이고 의류전문매장이나 백화점을 주로 이용하는 여성 소비자들의 경우 상표전환을 쉽게하지 않는 것으로 나타났다 연구결과를 바탕으로 의류제조업자 및 소매업자의 제품입고에 과한 제언을 하였다.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.385-396
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• 2014

In the Korean mobile market, the mobile phone has reach the stage of maturity in terms of demand. Since the long-term evolution(LTE) service was introduced in 2011, there have been drastic changes in the market structure. The purpose of this paper is to examine the user intension of brand switching, to analyse the market share among 3 major mobile service companies using the brand switching matrix and to provide some insights. The results show that the smartphone subscriber rate provided by Ministry of Science, lCT and Future Planning agrees with the market share by brand switching matrix of this study. The potential rate of costumer retention would be arranges in order of SKT>KT>LGU+. The preference of mobile service company on switch be in order of SKT>KT>LGU+. The future market share be SKT 63.55%, KT 21.99%, LGU+ 14.36%. The potential rate of costumer retention fell sharply over the past year, suggesting the drastic fluctuations in market share for a while.

• Journal of the Korean Home Economics Association
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• v.45 no.1
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• pp.51-61
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• 2007

The purpose of this study was to examine if multi-shop's store image affects store loyalty and brand switching. Two hundred fifty females and males who have purchased fashion products in multi-shop participated in this survey. For data analysis, descriptive statistics, factor analysis, Pearson's correlation and regression analysis were used for this study. The results were as followed. First, respondents' the most favorite multi-shop was MUE, followed by Boon the shop and ABC mart. Second, store image was classified into four factors such as store atmosphere, service of store, store recognition and product variety. Store loyalty was classified into five factors such as emotional relationship, pursue of novelty, trust about salesperson, satisfaction about service, and active loyalty. Third, result revealed that 'product variety' and 'store atmosphere', 'store recognition', 'service of store' accounted for 39.6% of the explained varience in store loyalty, and 'store recognition' accounted for 4% of the explained varience in brand switching behavior, while 'trust about salesperson', 'pursue of novelty' accounted for 5% of the explained varience in brand switching behavior. Based on these results, multi-shop's fashion marketing strategy would be suggested.

• Asia Marketing Journal
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• v.14 no.2
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• pp.157-176
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• 2012

Brand switching data frequently used in market structure analysis is adequate to analyze non- durable goods, because it can capture competition between specific two brands. But brand switching data sometimes can not be used to analyze goods like automobiles having long term duration because one of main assumptions that consumer preference toward brand attributes is not changed against time can be violated. Therefore a new type of data which can precisely capture competition among durable goods is needed. Another problem of using brand switching data collected from actual purchase behavior is short of explanation why consumers consider different set of brands. Considering above problems, main purpose of this study is to analyze market structure for durable goods with consideration set. The author uses exploratory approach and latent class clustering to identify market structure based on heterogeneous consideration set among consumers. Then the relationship between some factors and consideration set formation is analyzed. Some benefits and two demographic variables - age and income - are selected as factors based on consumer behavior theory. The author analyzed USA automotive market with top 11 brands using exploratory approach and latent class clustering. 2,500 respondents are randomly selected from the total sample and used for analysis. Six models concerning market structure are established to test. Model 1 means non-structured market and model 6 means market structure composed of six sub-markets. It is exploratory approach because any hypothetical market structure is not defined. The result showed that model 1 is insufficient to fit data. It implies that USA automotive market is a structured market. Model 3 with three market structures is significant and identified as the optimal market structure in USA automotive market. Three sub markets are named as USA brands, Asian Brands, and European Brands. And it implies that country of origin effect may exist in USA automotive market. Comparison between modal classification by derived market structures and probabilistic classification by research model was conducted to test how model 3 can correctly classify respondents. The model classify 97% of respondents exactly. The result of this study is different from those of previous research. Previous research used confirmatory approach. Car type and price were chosen as criteria for market structuring and car type-price structure was revealed as the optimal structure for USA automotive market. But this research used exploratory approach without hypothetical market structures. It is not concluded yet which approach is superior. For confirmatory approach, hypothetical market structures should be established exhaustively, because the optimal market structure is selected among hypothetical structures. On the other hand, exploratory approach has a potential problem that validity for derived optimal market structure is somewhat difficult to verify. There also exist market boundary difference between this research and previous research. While previous research analyzed seven car brands, this research analyzed eleven car brands. Both researches seemed to represent entire car market, because cumulative market shares for analyzed brands exceeds 50%. But market boundary difference might affect the different results. Though both researches showed different results, it is obvious that country of origin effect among brands should be considered as important criteria to analyze USA automotive market structure. This research tried to explain heterogeneity of consideration sets among consumers using benefits and two demographic factors, sex and income. Benefit works as a key variable for consumer decision process, and also works as an important criterion in market segmentation. Three factors - trust/safety, image/fun to drive, and economy - are identified among nine benefit related measure. Then the relationship between market structures and independent variables is analyzed using multinomial regression. Independent variables are three benefit factors and two demographic factors. The result showed that all independent variables can be used to explain why there exist different market structures in USA automotive market. For example, a male consumer who perceives all benefits important and has lower income tends to consider domestic brands more than European brands. And the result also showed benefits, sex, and income have an effect to consideration set formation. Though it is generally perceived that a consumer who has higher income is likely to purchase a high priced car, it is notable that American consumers perceived benefits of domestic brands much positive regardless of income. Male consumers especially showed higher loyalty for domestic brands. Managerial implications of this research are as follow. Though implication may be confined to the USA automotive market, the effect of sex on automotive buying behavior should be analyzed. The automotive market is traditionally conceived as male consumers oriented market. But the proportion of female consumers has grown over the years in the automotive market. It is natural outcome that Volvo and Hyundai motors recently developed new cars which are targeted for women market. Secondly, the model used in this research can be applied easier than that of previous researches. Exploratory approach has many advantages except difficulty to apply for practice, because it tends to accompany with complicated model and to require various types of data. The data needed for the model in this research are a few items such as purchased brands, consideration set, some benefits, and some demographic factors and easy to collect from consumers.

• Journal of the Korean Home Economics Association
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• v.37 no.5
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• pp.61-84
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• 1999

The purpose of this study is to understand the context of cosumers' lives in Korea with a narrative analysis method. The epistemological orientation of eh narrative analysis is Interpretivism, which blends the two polar philosophical perspectives, Empiricism and Rationalism, and includes Narrotology, Hermeneneutics, Semiotics, and Structural Criticism. Narrative analysis takes as its object of investigation the story itself. This study collects eleven narrative plots from four housewives, into which Labov's structural approach is applied. This study shows clearly that the socio-cultural environment in which consumers live has strong influence on their consumption behavior and also reveals that narrativization tells not only about past actions but how individuals understand those actions, that is, meaning.