• Journal of the Korean Society of Food Culture
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• v.30 no.2
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• pp.182-189
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• 2015

This study assessed the effect of color marketing in the RTD coffee industry in Korea. In order to investigate the effect of color marketing, this study measured the characteristics of color marketing as well as brand image and attitude in accordance with behavioral intention to purchase. Data were collected using questionnaires, and a total of 310 questionnaires were distributed with 298 entered for data analysis. Frequency analysis, factor analysis, correlation, and multiple regression analysis were tested using SPSS. A total of seven factors were extracted, including brand attitude, purchase intention, association, identification, brand awareness, symbolism, and attention. Significances were found between brand awareness and identification (p<0.001) and attention (p<0.001). In the relationship between characteristics of colors and brand attitude, significances were found in identification (p<0.001), attention (p<0.001), and association (p<0.001). Further, brand attitude and brand awareness had a significant positive effect on purchasing intention of RTD coffee. Results of this study suggested that color marketing is a good marketing tool to persuade potential consumers to purchase RTD coffee based on brand attitude and brand awareness.

• Journal of Distribution Research
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• v.8 no.1
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• pp.91-116
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• 2003

This study empirically analyzes the relationships among small and medium-sized stores' competitive strategies, marketing capabilities, and retail performance to cope with hostile environments like mass merchandisers' threats. To accomplish the proposed research objectives, data were collected from 325 small and medium-sized stores scattered nationwide. Three types of competitive strategies were significantly classified as follows cost leadership, merchandise differentiation, and service differentiation. Also, several strategic groups such as doing-nothing type, service differentiation type, cost leadership type, and merchandiser differentiation type were recognized through the cluster analysis. The test results show that the small and medium-sized stores perceiving hostile environments less importantly marked the high retail performance among clusters like cost leadership type, merchandise differentiation type, and even doing-nothing type. On the other hand, the moderating effects resulted from the interaction between strategic groups and environmental hostility did not have significant influence on retail performance. Additionally, merchandise differentiation cluster obtains and accumulates marketing capability most efficiently and the cluster like cost leadership, service differentiation, and doing-nothing follows next in order. Finally, merchandise differentiation cluster shows the most highest retail performance among the clusters while there was no difference between cost leadership and service differentiation cluster in terms of retail performance.

• The International Journal of Costume Culture
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• v.9 no.1
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• pp.15-26
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• 2006

The purposes of this study were 1) to identify the dimension of perceived service quality of fashion retail stores in the basis of expanded marketing mix, 2) to investigate the effect of each dimension on long-term orientation/customer satisfaction, trust, commitment and WOM/repurchase intention) on perceived service quality. The questionnaires were administered to 333 women shopped in a fashion retail store in Gwang-ju city. Data were analyzed by using exploratory and confirmatory factor analysis, Cronbach' ${\alpha}$, and multi-regression analysis. The results were as follows: 1) The dimension of perceived service quality based on expanded marketing mix were classified as follow: product, price, place, promotion, people, physical evidence, process services. Long-term orientation was categorized into four factors: customer satisfaction, trust, commitment, WOM/repurchase intention. 2) For the effect of the perceived service quality by dimension, product, people, physical evidence, process services have significant effect on long-term orientation, while price, place, promotion services have not significant.

• Journal of Distribution Science
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• v.14 no.11
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• pp.5-17
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• 2016

Purpose - The purpose of this study is to establish an conceptual framework to explain the mechanism of internationalization behavior being used by recently established retailer in emerging countries. Research design, data, and methodology - The existing research on retail internationalization has focused on global retailers located in advanced countries which have expanded their business to emerging countries. That is, "internationalization from top to bottom". However, recent years have seen a reversal in this trend, resulting in the emergence of "internationalization from bottom to top" by retailers based in emerging economies. In order to explore this reversal, this study attempts to develop an conceptual framework based on the theories of "innovation" and "retail format". Results - This study found an conceptual framework which was adopted both a concept of "formula" derived from the theory of retail format and a concept of "production and process innovation" derived from the theory of innovation as a core concept. Conclusions - The conceptual framework provided an understanding of how retailers in emerging countries have gained a competitive advantage over retail companies based in countries with advanced economies. It suggested that innovation that gave these companies a competitive edge was caused by competitive interaction which allowed them to expand to oversea markets.

• Fourth Industrial Review
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• v.1 no.1
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• pp.23-29
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• 2021

Purpose - Faced with the great change of the 4th industrial revolution and the addition of the COVID-19 pandemic, great confusion and crises are occurring in the retail environment as well. The purpose of this study is to suggest the necessity of establishing a methodology for applying retail tech to offline distribution channels in crisis. Research design, data, and methodology - After examining the recent developments of representative fields to which retail technology is applied, it is rearranged through consideration through previous studies. Result - The retail industry must transform into digital commerce through digital transformation. According to the development of retail technology, the distribution industry is at a time of change from the stage of brokering product and service transactions to a structure that creates value based on information on production and consumption. The business model of the distribution industry must be converted to a platform business model in which both consumers and producers become users. Conclusion - In-depth analysis of the cases has not been conducted, and there are limitations in that the development is somewhat insufficient due to insufficient prior research data. However, it is meaningful to suggest the necessity of finding a methodology for applying retail technology to overcome the crisis of offline retailers through quantitative research on the retail technology area.

• Korean Journal of Agricultural Science
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• v.47 no.4
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• pp.769-782
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• 2020

Interest in fruit and vegetables has increased due to changes in consumer consumption patterns, socioeconomic status, and family structure. This study determined the factors influencing the demand for fruit and vegetables (strawberries, paprika, tomatoes and cherry tomatoes) using a panel of Rural Development Administration household-level purchases from 2010 to 2018 and compared the ability to the prediction performance. An artificial neural network model was constructed, linking household characteristics with final food expenditure. Comparing the analysis results of the artificial neural network with the results of the panel model showed that the artificial neural network accurately predicted the pattern of the consumer panel data rather than the fixed effect model. In addition, the prediction for strawberries was found to be heavily affected by the number of families, retail places and income, while the prediction for paprika was largely affected by income, age and retail conditions. In the case of the prediction for tomatoes, they were greatly affected by age, income and place of purchase, and the prediction for cherry tomatoes was found to be affected by age, number of families and retail conditions. Therefore, a more accurate analysis of the consumer consumption pattern was possible through the artificial neural network model, which could be used as basic data for decision making.

• Journal of Distribution Science
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• v.19 no.7
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• pp.87-100
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• 2021

Purpose: This paper examined the role of conditional value in the green automotive industry. The relationships of conditional value's four factors, consumers' attitudes and consumers' intention to purchase green cars were investigated. The conditional value was extended by examining the effect of fuel prices. Research design, data, and methodology: This study is quantitatively designed. All variables were measured using a 7-point Likert-scale; 425 questionnaires were collected from the respondents in Malaysia. SmartPLS was utilized to examine the proposed nine hypotheses. Result: The results demonstrate a positive relationship between attitude and intention toward green cars. Additionally, the results of the relationships were as follows: fuel prices was the most significant predictor of Malaysian consumers' attitudes and consumers' intention to purchase green cars, followed by environmental consequences and government policy. However, retail sales promotions did not show a significant effect on both consumers' attitudes and intentions. Conclusion: The study's findings suggest that the Malaysian government should implement an integrated package that includes a fuel pricing policy that restricts the purchase of non-green cars, as well as a set of financial incentives for purchasing green cars. Moreover, it is valuable to conduct public awareness campaigns about the negative consequences of current consumption patterns.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.533-543
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• 2021

The purpose of this research is to examine and analyze the effect of Relationship Marketing on service quality and customer loyalty, especially in the context of the retail industry. In retail industry, Relationship Marketing is the key to increase and maintain a large pool of customers. This research was conducted in North Sulawesi Province with a sample size of 155 supermarket customers. The sampling technique used for the study is the purposive sampling. Data was analyzed using SEM based on GeSCA components. The results showed that Relationship Marketing had a significant positive effect both on service quality and customer loyalty. The commitment, communication, conflict handling, and competence play an important role in improving service quality which ultimately makes customers loyal. In addition, the relationship between service quality and customer loyalty, also has significant positive findings. These findings are in line with the concept of SERVQUAL and The Commitment-Trust Theory. The implication of the managerial research is that supermarket managers in North Sulawesi must focus and emphasize more on the Relationship Marketing dimension especially in terms of commitment, communication, conflict handling, and competence. Once these factors can be met, the quality of service will increase, and it causes an increase in customer loyalty to shop more at the supermarket.

• Journal of Distribution Science
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• v.12 no.9
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• pp.5-13
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• 2014

Purpose -This study is to measure the effects of retail legislations on small retailers and traditional markets. Research Design, Data, and Methodology - The authors have developed a questionnaire with five hypotheses on the basis of previous research results and six constructs: the improvement of sales volume, the number of customers, the improvement of store traffic, the increase of store staff, business expansion and retail regulation. Furthermore, the research has adopted a five-point Likert-scale technique. In order to increase research reliability as well as validity, the authors have adopted a few different research techniques such as exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Results - Although existing retail regulations might be better than nothing for now, the degree of retail constraints on large retailers should be strengthened. Furthermore, different legal methods to protect mom and pops are needed. Conclusions - In order to improve the effects of retail restrictions on large retailers, the research indicates that the central government should change a retail policy, that is, introduce new technical ways to keep mom and pops and conventional markets.

• The Journal of Industrial Distribution & Business
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• v.7 no.4
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• pp.11-16
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• 2016

Purpose - There are numerous theories for retail trade area analysis which are designed to select candidate locations for new stores. In this study, comparative analysis on the characteristics from those of the theories are shown, and the explanation for the power in consumers' store-choice behaviors and their limitations are examined. Also, plans for improving commercial sphere analysis are explored. Research design, data, and methodology - This study is based on literature reviews with normative research methodology. Among many researches regarding the analysis on the location and commercial sphere for launching a new store, researches relying on statistics are excluded in this study since they belong to the marketing research area,. Results - In the Law of retail gravitation, Huff's model multinomial logit model and etc. are mutual complementary mathematical techniques for analyzing commercial spheres and each of them has its own characteristics. These theories rely on the same hypothesis in which consumers are all believed to be behaving rationally under a similar behavioral system. However, the trial in explaining or estimating behavior of choosing a store with only a select size of the population that is objectively estimated by some major properties has limits in its credibility. Conclusion - Research on consumer's spatial behaviors can be fully illustrative and explainable when it has both quantitative approaches such as 'law of retail gravitation', 'logit model' and etc., and qualitative approaches like consumer's 'cognitive structure', 'learning status', 'image formation', 'attitude' and etc.