• 한국식품조리과학회지
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• 제33권2호
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• pp.228-236
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• 2017

Purpose: This study investigated beef restaurant's selection attributes using conjoint analysis in order to provide useful information to marketers and managers. Methods: A total of 320 questionnaires were distributed to consumers who visited a beef restaurant in August 2016, and 284 were completed (96.90%). Statistical analyses of data were performed using SPSS/Windows 22.0 for descriptive statistics and conjoint analysis. Results: The results of this study demonstrate the relative importance and level of each attribute for selecting beef restaurants. Price showed the greatest importance (34.86%), followed by origin of beef (27.52%), level of support services (25.72%), and variety of side dishes (11.90%). The optimum attribute combination was various side dishes (0.059), Korean beef (0.385), Very high service level (-0.291), and price of 8,000 won (-0.782). The most preferred beef restaurant gained 37.60% potential market share from choice simulation. There were significant differences in importance of attributes related to age of respondents. For respondents in their 20s and older than 50s, the first consideration was price. Respondents in their 30s considered the level of support services first while those in their 40s considered origin of beef first. Importance of attributes based on companion of respondents revealed that all respondents considered price first. Conclusion: This study contributes to development of marketing plans based on a customer's involvement level focusing on their primary selection criteria when choosing a beef restaurant. Additionally, marketers who manage beef restaurants can estimate the market share of imaginary beef restaurants from these results.

• 복식문화연구
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• 제30권2호
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• pp.297-318
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• 2022

A growing number of fashion brands and retailers are actively adopting live streaming as a new marketing channel. In spite of the increasing use of live commerce, the effects of live streaming commerce on customer purchasing behavior for fashion products are not fully understood. The purpose of this study is to examine factors affecting consumers' attitudes toward a purchase via fashion live streaming commerce (FLSC) and intention to use FLSC. The study also investigated whether consumers' expenditure on fashion and time spent on mobile shopping moderate the relationships among research variables. A total of 230 questionnaires were analyzed through descriptive statistics, confirmatory factor analysis, and multiple-group comparison tests using SPSS and AMOS. A summary of the main results of this study is as follows. First, the perception of the attributes of FLSC (ease of use, economic efficiency, interactivity, and enjoyment) has a positive effect on attitude toward a purchase via FLSC. The ease of use and economic efficiency of FLSC, in particular, have greater impacts on attitudes than other factors. Secondly, attitudes toward FLSC positively impact the intention to use FLSC. Lastly, the results of group comparisons, by fashion expenditure and time spent on mobile shopping respectively, hold no significant moderation effects among the variables. These findings demonstrate that consumers are more likely to use FLSC as they form a positive attitude by the attributes of FLSC mentioned earlier. The study provides some insights on an exploration of live streaming commerce for fashion product sales.

• Asia pacific journal of information systems
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• 제18권3호
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• pp.1-20
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• 2008

Based on the multi-attribute utility theory (MAUT), we present a survey method to measure consumer preferences. The multi-attribute utility theory has been used to make decisions in OR/MS field; however, we show that the method can be effectively used to estimate the demand for new services by measuring individual level utility function. Because conjoint method has been widely used to measure consumer preferences for new products and services, we compare the pros and cons of two consumer preference survey methods. Further, we illustrate how swing weighing method can be effectively used to elicit customer preferences especially for new telecommunications services, Multi-attribute utility theory is a compositional approach for modeling customer preference, in which researchers calculate overall service utility by summing up the evaluation results for each attribute. On the contrary, conjoint method is a decompositional approach, which requires holistic evaluations for profiles. Partworth for each attribute is derived or estimated based on the evaluation, and finally consumer preferences for each profile are calculated. However, if the profiles are quite new and unfamiliar to the survey respondents, they will find it very difficult to accurately evaluate the profiles. We believe that the multi-attribute utility theory-based survey method is more appropriate than the conjoint method, because respondents only need to assess attribute level preferences and not holistic assessment. We chose swing weighting method among many weight assessment methods in multi-attribute utility theory, because it is designed to perform in a simple and fast manner. As illustrated in Clemen and Reilly (2001), to assess swing weights, the first step is to create the worst possible outcome as a benchmark by setting the worst level on each of the attributes. Then, each of the succeeding rows "swings" one of the attributes from worst to best. Upon constructing the swing table, respondents rank order the outcomes (rows). The next step is to rate the outcomes in which the rating for the benchmark is set to be 0 and the rating for the best outcome to be 100, and the ratings for other outcomes are determined in the ranges between 0 and 100. In calculating weight for each attribute, ratings are normalized by the total sum of all ratings. To demonstrate the applicability of the approach, we elicited and analyzed individual-level customer preference for new telecommunication services-WiBro and HSDPA. We began with a randomly selected 800 interviewees, and reduced them to 432 because other remaining ones were related to the people who did not show strong intention for subscription to new telecommunications services. For each combination of content and handset, number of responses which favored WiBro and HSDPA were counted, respectively. It was assumed that interviewee favors a specific service when expected utility is greater than that of competing service(s). Then, the market share of each service was calculated by normalizing the total number of responses which preferred each service. Holistic evaluation of new and unfamiliar service is a tough challenge for survey respondents. We have developed a simple and easy method to assess individual level preference by estimating weight of each attribute. Swing method was applied for this purpose. We believe that estimating individual level preference will be quite flexibly used to predict market performance of new services in many different business environments.

• 유통과학연구
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• 제12권2호
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• pp.49-57
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• 2014

Purpose - Theorists and researchers in the area of customer satisfaction generally agree that product satisfaction intervenes between expectancy disconfirmation and various post-purchase cognitive states including attitude and behavioral intention. Studies in a variety of settings have supported the effect of expectation and its disconfirmation on satisfaction, but only a small number of studies address the cognitive consequences of satisfaction decisions and none report data on choice processes such as brand selection. This study examines the influence of satisfaction and its determinants on behavioral intention and product preference in eight coffee shops across the country. Generally it was found in both overall and summed attribute analyses that satisfaction was a function of expectation and disconfirmation, that intention was a function of satisfaction, and that preference was influenced by satisfaction and disconfirmation, the latter having the greater effect. Research design, data, and methodology - The main objective of this study was to assess the dimensions of consumer selection and satisfaction in choosing a coffee shop. In order to achieve this objective, a study of coffee shops across the country was conducted. This study comprised in-depth questionnaires distributed to coffee shop customers. A survey was conducted from September 1, 2011 to September 30, 2011, involving franchise coffee shop, independently owned coffee shop, and roastery coffee shop customers. Results - Hypothesis 1-1, which states that coffee shop choice attributes differ based on the type of coffee shop, is accepted. It has a significance level of 0.05, according to choosing properties of coffee shop by convenience of transportation, varieties of beans, residence of the owner (manager), information, and relationships. Hypothesis 1-2, which states that satisfaction with the choice factor differs depending on the type of coffee shops, is accepted. The P-values for cleanliness and varieties of beans were 0.04 and 0.00, respectively, and have a significance level of 0.05, according to the satisfaction with the chosen coffee shop. Hypothesis 2-1, which states that the importance of the choice attributes in coffee shop selections differs based on the demographic characteristics of the customers, is accepted. According to the t-test result, convenience of parking and residence of the owner (manager) are significant. Hypothesis 2-2, which states that satisfaction with the choice factor will differ depending of the type of coffee shop, is accepted. According to the t-test result, convenience of parking and residence of the owner (manager) are significant. Conclusions - This study has shown that intention to revisit a certain shop is most likely correlated to satisfaction in all cases. In order to offer subsequent developments for coffee shops, this study also identifies relations between customer satisfaction and selection by finding significant factors. In order to maximize customers' satisfaction, coffee shops should analyze and satisfy customers' needs and wants in terms of coffee service. While the findings do not generalize beyond the mall sampling procedure used here, we have hopefully identified a close approximation of the process of satisfaction decisions used by consumers generally.

• 한국조리학회지
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• 제17권2호
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• pp.1-17
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• 2011

본 연구에서는 부산지역 한식호텔레스토랑을 이용하는 고객의 메뉴선택속성으로 메뉴디자인, 메뉴품질, 건강, 메뉴선택동기, 메뉴제공이 고객 만족과 재방문의도에 관한 연구이다. 그리고 변수들 관계의 인과관계를 수행하였다. 실증분석을 위한 설문조사는 부산지역 호텔한식레스토랑을 이용하는 고객을 대상으로 하였으며, 조사기간은 2008년 9월 1일부터 9월 30일까지 실시되었다. 실증분석 유호표본은 310부를 가지고 사회과학 통계프로그램인 SPSS/PC+ for Window 12.0을 이용하여 분석하였다. 분석결과는 다음과 같다. 첫째, 한식 레스토랑 메뉴선택 속성 중 고객만족에 가장 큰 영향을 미치는 요인으로는 건강요인이다. 이는 오늘날 웰빙으로 인한 건강을 지향하는 소비 경향이 반영된 것으로 볼 수 있다. 둘째, 메뉴 선택 속성의 요인 중 가장 크게 영향을 미치는 요인은 메뉴디자인이다. 이는 호기심을 유발하는 다양하고 독특한 메뉴를 디자인하여 메뉴에 대한 설명을 추가하여 차별화한 요인이 향후 재방문하는 것에 긍정적인 영향을 미치는 것으로 나타났다. 셋째, 메뉴 품질, 건강, 메뉴의 제공이 고객 만족이 영향을 미치는 것으로 나타났다. 넷째, 한식 레스토랑을 이용함에 있어 메뉴 선택 고려요인은 맛과 영양을 가장 중요한 것으로 나타났다. 한계점으로는 부산지역에 한정되어 연구가 이루어 졌으며, 특히 관광호텔을 대상으로 하여 일반 소비자들의 이용 빈도가 높은 대중의 한식레스토랑의 실증조사는 실시되지 않았다.

• 한국조리학회지
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• 제17권4호
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• pp.204-218
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• 2011

본 연구에서는 약선 요리의 문제점을 도출하여 향후 약선 음식이 나아가야 할 방향을 제시하고, 약선 전문식당의 고객유지 및 고객확보를 위한 마케팅 전략을 수립하여 외식산업의 한 축으로 성장할 수 있는 효율적인 운영방향을 제시하는데 본 연구의 목적이 있다. 영향요인인 구매동기의 성인병예방, 지방함유량, 무공해식품, 식품균형이 재구매의도와 추천의도에 미치는 영향에 관한 가정을 검증한 결과, 약선 요리의 구매동기는 성인병, 지방, 무공해식품 등 건강에 대한 소비자의 욕구를 충족할 수 있는 약선 요리의 수준이 높을수록 재구매의도와 추천의도에 유의적인 영향을 미친다는 검증결과가 나타났다. 영향요인인 구매동기의 성인병예방, 지방함유량, 무공해식품, 식품균형이 매개요인인 만족도에 미치는 영향에 관한 가설을 검증한 결과, 지방함유량을 제외한 성인병예방, 무공해식품, 식품균형이 유의적인 영향을 미치는 것으로 밝혀졌다. 따라서 이러한 연구의 분석결과를 바탕으로, 약선요리와 약선 전문식당 운영에 대한 유용한 정보를 제시하고자 하였다.

• 한국콘텐츠학회논문지
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• 제10권3호
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• pp.282-293
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• 2010

현재, 인터넷 비스니스의 급성장으로 인해 인터넷 포털시장에서도 경쟁이 심화되고 있다. 경쟁이 심한 시장에서 고객에게 차별화된 자사만의 독특한 이미지를 전달할 수 없다면 더 이상 경쟁우위를 차지할 수가 없다. 따라서 본 연구에서는 포지셔닝 맵 구축을 통한 포털간의 경쟁관계를 비교하고 세분집단별로 소비자들이 선호하는 인터넷 포탈이미지 평가속성과 이상점을 파악하여 차별화된 포지셔닝전략을 수립하고자 하였다. 연구대상은 인터넷다량이용자층인 대학생들을 대상으로 주로 이용하는 인터넷포털에 대해 이미지평가를 하도록 하였다. 분석결과 포털 간에 가장 차별화되어 있는 속성은 오락 및 부가서비스와 편리성이며 가장 차별화되지 않은 속성은 고객서비스로 나타났다. 포털에 대한 선호도와 이상점파악에서도 세분집단별로 유의한 차이가 있었다. 이러한 연구결과는 인터넷 포털시장에서 차별적인 시장세분화전략수립에 있어서 의미있는 기초자료가 될 것으로 본다.

• Industrial Engineering and Management Systems
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• 제11권2호
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• pp.155-164
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• 2012

As the global market becomes more competitive, manufacturing industries face relentless pressure caused by a growing tendency of greater varieties of products, shorter manufacturing cycles and more sophisticated customer requirements. Efficient and effective supplier selection and order allocation decisions are, therefore, important decisions for a manufacturer to ensure stable material flows in a highly competitive supply chain, in particular, when customers are willing to accept products with less desirable product attributes (e.g., color, delivery date) for economic reasons. This paper attempts to solve optimally the challenging problem of supplier selection and order allocation, taking into consideration the customer flexibility for a manufacturer producing multi-products to satisfy the customers' demands in a multi period planning horizon. A new mixed integer programming model is developed to describe the behavior of the supply chain. The objective is to maximize the manufacturer's total profit subject to various operating constraints of the supply chain. Due to the complexity and non-deterministic polynomial-time (NP)-hard nature of the problem, an improved genetic approach is proposed to solve the problem optimally. This approach differs from a canonical genetic algorithm in three aspects: a new selection method to reduce the chance of premature convergence and two problem-specific repair heuristics to guarantee feasibility of the solutions. The results of applying the proposed approach to solve a set of randomly generated test problems clearly demonstrate its excellent performance. When compared with applying the canonical genetic algorithm to locate optimal solutions, the average improvement in the solution quality amounts to as high as ten percent.

• 한국항만경제학회지
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• 제24권4호
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• pp.115-137
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• 2008

본 연구는 선행연구와 전문가 인터뷰를 통하여 배후단지의 서비스품질 차원을 구성하는 주요속성들을 추출하고, 이 속성들을 토대로 배후단지 서비스품질 차원과 만족, 전환장벽, 고객행동간에 어떠한 인과관계가 있는지를 파악하여 전략적인 시사점을 제시하고자 하였다. 연구결과 인천항의 배후단지 서비스품질은 '상호작용품질', '물리적환경품질', '서비스전달품질'의 3차원으로 구분됨을 확인하였고, 이들 3차원중 '상호작용품질'을 제외한 '물리적 환경품질' 및 '서비스전달품질'이 만족에 유의한 영향을 미치는 것으로 나타났다. 이는 한정된 경영자원으로 배후단지 서비스품질을 향상시키려 할 때 어떠한 차원의 품질을 관리해야 할 것인지에 관한 방향을 제시하고 있으며, 이를 통해 고객들에 대한 보다 전략적인 마케팅 활동이 가능해질 것으로 보인다.

• 한국의류학회지
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• 제31권5호
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• pp.765-776
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• 2007

Customer expectations and requirements for products play an important role in product planning for companies and decision making process for the consumer. These expectations are expressed by product qualities that consumers consider important when they purchase. Therefore, to identify quality elements that reflect consumer requirements would be a useful guide for companies. The purposes of this study are to find out quality factors of apparel product, to identify apparel product quality elements using Kano's theory, to find attributes of product which improvement are required. Women over 20 years-old from metropolitan areas in South Korea participated in the study and a quota sampling method was used. A questionnaire was arranged with four separate subject sections, importance of quality, Kano's questionnaires, and demographics. Data from 525 questionnaires were used for the statistical analysis. The results were as follows: Six dimensions of product quality(i.e., usefulness, performance, aesthetic, symbol, individuality and appearance) were identified. According to Kano's quality elements, performance was categorized into must-be quality which could lead to product dissatisfaction. Usefulness and appearance were categorized into one-dimensional quality which lead to both satisfaction and dissatisfaction. Aesthetic, symbol, and individuality was categorized into attractive quality which could lead to satisfaction. Findings of this study provide both industry and academic researchers with a guide to increase customer satisfaction in the product development process.