• Journal of Global Scholars of Marketing Science
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• v.12
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• pp.77-97
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• 2003

The purpose of this study is to analyze how servant service factor of service marketing factors affects to customer's satisfaction, relationship quality, and commitment and consequently to see how these factors affect to revisit intention which is the hotel performance. The empirical results showed that technical factor and customer orientational factor had a significant influence on customer satisfaction and relationship quality, and functional factor affected to only relationship quality. Also customer and relationship quality had a significant influence, and commitment had a significant influence on revisit intention which is a performance factor. Specifically relationship quality built by the interrelationship between the purchasers and the suppliers showed higher influence than customer satisfaction's influence on the commitment. That is, when there is an interaction between trust on the employees and customer satisfaction, there is a greater synergy effect on the commitment. Although the degree of customer satisfaction is low, the commitment can be high with high effort of service providers. This implies that the attitude of service providers is the critical factor on the degree of commitment of service users.

• Information Systems Review
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• v.13 no.1
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• pp.75-96
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• 2011

This research uses coolhunting to predict the future trend of e-Commerce industry. Coolhunting is a method to take Cool Trends which are the future trend through social network analysis for discovering the trendsetter and its collective intelligence. Coolhunting is generally carried out by social network analysis while this research uses NodeXL of social network analysis tools. We designed industrial network research model for relation among e-Commerce corporation, product, the types of customer service and customer service employee to discover the Cool Trends of e-Commerce industry. According to the result of this research, e-Commerce industrial network was being changed from chaos to collective intelligence form. As a analysis result for network influences, we found that Cool Trends of e-Commerce industry invigorate social commerce industry through the collective intelligence focusing intelligence VIP, Excellence, grade of Administrating for women customers(trendsetter) and it promotes semantic consumption from customers and purchasing power will be concentrated on cosmetic, beauty, perfume product categories in social commerce. We propose the strategic direction for e-Commerce corporation and hope that domestic e-Commerce corporation continues to grow and high-quality services are provided for customers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.412-425
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• 2016

Recently, the influence of the residential value of new town apartment houses has been increasing in the housing market; however, there has been little study on the relationship between the housing value and customer loyalty. This study analyzed the influence of the housing value on housing satisfaction and customer loyalty. To this end, this study conducted a survey targeting 519 residents in the second term new town. Accordingly, basic statistics, reliability and hypothesis test were carried out using SPSS 21.0 and ANOVA as an analysis method. The study results are as follows. First, as a result of factor analysis of the housing value, the factor was analyzed as 6 sorts, such as safety, sociality, convenience, economic feasibility, aesthetics, and comfort. Second, safety, comfort, and convenience among the factors in the housing value were found to have a significant influence on the housing satisfaction. This means that the concepts of property and assets reflect the development of new urban city apartments. Third, a new town house purchaser's positive housing value and housing satisfaction were found to increase customer loyalty. This greater satisfaction of the current residential apartment dwellers means that they are more likely to introduce their relatives and neighbors. These results suggest that a positive outlook of a new town householder on the housing value and housing satisfaction will eventually work more on revitalizing the housing market.

• Journal of Convergence for Information Technology
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• v.9 no.4
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• pp.59-67
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• 2019

Most of the prior researches in brand extension evaluation have utilized purchase intention as a n effective variable to assess the effectiveness of brand extensions. In contrast, the author proposes that trial intention is to better predict consumers' behavioral response in the newly launched brand extension markets where relate to high risk and uncertainty. Furthermore, the study explores the effects of attitude toward parent brand and consumers' characteristics (perceived similarity and consumption experience) on trial intention of brand extensions. In order to achieve the purpose of the study, the data collection was conducted for actual consumers who had experience using parent brand products. This study employed experiment and questionnaire survey and collected data of 186 was analyzed using clustering analysis and regression analysis. The main results are as follows. First, attitude toward parent brand has a positive effect on trial intention of the extensions. Second, perceived similarity and consumption experience of parent brand have moderating effects on the relation of attitude toward parent brand and trial intention of brand extensions. The results provide that both industry and academic researchers with a guide to process trial intention of brand extension from a comprehensive perspective.

• Journal of Service Research and Studies
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• v.13 no.3
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• pp.105-126
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• 2023

The domestic used car market continues to grow along with the used car online platform service. The used car online platform service discloses vehicle specifications, accident history, inspection history, and detailed options to service consumers. Most of the preceding studies were predictions of used car prices using vehicle specifications and some options for vehicles. As a result of the study, it was confirmed that there was a nonlinear relationship between used car prices and some specification variables. Accordingly, the researchers tried to solve the nonlinear problem by executing a Machine Learning model. In common, the Regression based Machine Learning model had the advantage of knowing the actual influence and direction of variables, but there was a disadvantage of low Cost Function figures compared to the Decision Tree based Machine Learning model. This study attempted to predict used car prices of six domestic brands by utilizing both vehicle specifications and vehicle options. Through this, we tried to collect the advantages of the two types of Machine Learning models. To this end, we sequentially conducted a regression based Machine Learning model and a decision tree based Machine Learning model. As a result of the analysis, the practical influence and direction of each brand variable, and the best tree based Machine Learning model were selected. The implications of this study are as follows. It will help buyers and sellers who use used car online platform services to predict approximate used car prices. And it is hoped that it will help solve the problem caused by information inequality among users of the used car online platform service.

• International Commerce and Information Review
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• v.18 no.3
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• pp.23-43
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• 2016

Many customers of individual countries are interested in overseas direct purchase. B2C is not limited in a domestic market anymore. There are giant online shopping sites such as Amazon and eBay around the world. Many local and overseas customers can access and purchase products via B2C sites. Market size of overseas direct purchase has been dramatically increased. Overseas direct purchase can be closely associated with trade or international commerce due to the massive increase. This study aims at gaining a better understanding of overseas direct purchase in the country-level not customer-level. Specifically, this study examines relationships between overseas direct purchase and customer determinants including openness, innovativeness, and strategic confirmity to normative institution. Also, moderating effect with external environments such as logistics infrastructure and market uncertainty. Relying on RBV, TCA, Institutional theory, and OSAM model, this study justifies how internal and external determinants can increase or decrease consumer awareness on overseas direct purchase.

• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.548-558
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• 2017

The purpose of this study is to investigate how the types of perceived brand image related to the main concept building brand equity affect 'brand preference' and 'behavioral intentions'. The perceived brand image is set as the brand image type perceived by the consumer from the image pursued by the corporate brand, while in addition to brand preference, behavioral intentions are set as purchase intention and recommendation intention for the result variables. The result shows that the types of perceived brand image were extracted as 'factor 1(challenge spirit)' and factor 2(reliability) and through the cluster analysis 3 groups under each type were identified. Also, a significant difference between the influence of each type of perceived brand image on 'brand preference', 'purchase intention' and 'recommend intention' was indicated. In addition, the differences of perceived brand image types were found to be higher in order of 'challenge spirit type', 'reliability type', 'integrated type'. The empirical implementation of this study lies in the fact that it classifies the concept of brand image not as a broad theoretical model, but as a model directly related to real consumer perception, and that it gives practical suggestion for brand image management related to advertising.

• Korean Chemical Engineering Research
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• v.46 no.2
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• pp.316-329
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• 2008

Recently the increased attention pays on the processing of multiple, relatively low quantity, high value-added products resulted in adoption of batch process in the chemical process industry such as pharmaceuticals, polymers, bio-chemicals and foods. As there are more possibilities of the improvement of operations in batch process than continuous processes, a lot of effort has been made to enhance the productivity and operability of batch processes. But the chemical process industry faces a range of uncertainties factors such as demands for products, prices of product, lead time for the supply of raw materials and in the production, and the distribution of product. And global competition has made it imperative for the process industries to manage their supply chains optimally. Supply chain management aims to integrate plants with their supplier and customers so that they can be managed as a single entity and coordinate all input/output flows (of materials, information) so that products are produced and distributed in the right quantities, to the right locations, and at the right time.The objective of this study is to solve the purchase, distribution, production planning and scheduling problem, which minimizes the total costs of production, inventory, and transportation under uncertainty. And development of SCM model in chemical industry including batch mode operations. Through that, the enterprise can respond to uncertainty. Also integrated process optimal planning and scheduling model for manufacturing supply chain. The result shows that, the advantage of supply chain integration are quality matters seen by customers and suppliers, order schedules, flexibility, cost reduction, and increase in sales and profits. Also, an integration of supply chain (production and distribution system) generates significant savings by trading off the costs associated with the whole, rather than minimizing supply chain costs separately.

• Proceedings of the Korean DIstribution Association Conference
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• 2006.05a
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• pp.165-192
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• 2006

본 연구의 목적은 소비자의 하이테크 제품 선택에 있어 브랜드와 제품 성능의 상대적 중요성을 결정하는데 영향을 미치는 요인들을 도출하는데 있다. 영향 요인들은 크게 제품 요인과 소비자 요인으로 분류하였는데, 제품 변수로는 제품의 평가 용이성과 제품의 혁신성을 고려하였고, 소비자 요인으로는 소비자 관여도, 소비자 지식, 소비자 혁신성을 고려하였다. 또한 제품의 쾌락성/이성성 정도와 제품의 노출 정도에 의해 4가지 제품군으로 분류하여, 제품의 유형이 변수들의 영향력에 미치는 조절적 역할을 연구하였다. 연구에 대한 주된 결론은 다음과 같다. 첫째, 하이테크 제품 전반적으로 소비자 혁신성, 소비자 지식, 제품 평가의 용이성, 제품의 혁신성이 제품 선택에 있어서 브랜드의 중요성을 결정하는데 영향을 미치는 변수로 나타났다. 즉, 소비자들은 지식수준이 낮을수록, 소비자 혁신성이 낮을수록, 제품의 평가 용이성이 낮을수록, 제품의 혁신성이 낮을수록 브랜드 위주의 제품을 선택하는 것으로 나타났다. 둘째, 제품의 쾌락성 정도에 따라서 브랜드의 상대적 중요도에 영향을 미치는 변수들이 달라지는데, 쾌락재의 경우에는 소비자 혁신성을 제외한 모든 변수가 브랜드의 상대적 중요도에 영향을 미치나, 실용재의 경우에는 제품 평가의 용이성과 제품 혁신성, 그리고 소비자 혁신성이 영향을 미치는 변수로 나타났다. 셋째, 제품의 노출 정도에 따라서 공공재의 경우에는 소비자 혁신성, 제품 평가 용이성, 제품 혁신성이 유의한 변수로 나타났고, 개인재의 경우에는 소비자 지식과 제품 평가 용이성이 영향을 미치는 변수로 나타났다.가치가 유의한 영향을 미치는 것으로 확인되었다. 그러나 소비자의 금전효용가치는 PB제품의 선호도와는 직접적인 관계가 없는 것으로 나타났으며, PB제품구매의 지각적 가치가 PB제품 선호도에 가장 큰 영향을 미치는 것으로 나타났다. 이와 같은 연구결과는 경제성을 추구하는 소비자라 하더라도 PB제품의 지각적 품질수준 여하에 따라 PB제품의 판매가치가 크다고 지각될 때에만 PB제품을 선호하는 것으로 풀이할 수 있다. 본 연구는 최근에 큰 관심의 대상이 되고 있는 PH의 연구자와 유통업계 실무자들에게 유익한 전략적 시사점을 제공할 수 있을 것으로 기대된다. 지자체가 대형유통점에 대한 규제를 강화하는 것이다. 먼저, 대형유통점의 불공정거래행위에 대한 감시감독과 처벌을 강화하는 것은 당연한 것이다. 그러나 정부가 아닌 지자체가 이를 주도하기는 사실 어려움이 있다. 그리고 대형유통점이 영업행위를 영업시간제한에서부터 출점제한에 이르기까지 규제하는 건은 심사숙고하여야 한다. 대형유통점이 국가경제 및 지역사회에 미치는 영향이 부정적인가 긍정적인가에 대해 국내외 학계와 업계에서 여전히 많은 논란이 있기 때문이다. 정부와 지자체에 의한 시장개입은 반드시 필요한 경우에 한해 합당한 방법에 의해 이루어져야 한다. 대형유통점에 대한 규제는 지역사회에 미치는 영향을 다면적으로 평가한 결과에 근거하여 이루어져야 할 것이다. 대부분의 지자체는 체계적인 평가시스템과 객관적인 통계 자료를 갖고 있지 못한 실정이다. 향후 가장 시급한 과제는 시장개방 이후 지난 10년간 대형유통점이 지역사회에 미친 영향에 관한 광범위한 통계자료를 수

• Journal of the East Asian Society of Dietary Life
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• v.24 no.6
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• pp.896-905
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• 2014

The purpose of this study was to investigate the use and perception of adults concerning sprout vegetables. Self-administered questionnaires were collected from 516 residents in the Daegu and Gyeonbuk areas. When purchasing sprout vegetables, respondents answered that they considered freshness, eco green, and price. Consumers purchased sprout vegetables to make bibimbap (58.9%) and salad (29.3%). Approximately 81.4% of respondents answered that they purchased sprout vegetables in grocery and department stores. Once or twice per month was the highest purchase frequency for sprout vegetables. Regarding knowledge of sprout vegetables, radish sprout score was the highest (3.14), whereas preference was highest for barley grass (3.00). When asked how much they like sprout vegetable menus, subjects responded that they liked bibimbap (3.79), salad (3.73) and bibim noodles (3.58). As a result, popularization of sprout vegetables was based on product quality factor and sales promotion factor significantly influenced preference for sprout vegetable menus. To increase consumption of sprout vegetables, there is a need for hygiene and safety of sprout products and variations and improvement of quality.