• 유통과학연구
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• 제8권3호
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• pp.27-35
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• 2010

실버세대의 중요성은 인구 증가뿐만 아니라 구매력의 향상 및 의사 표현의 강도가 증가하면서 더욱 커지고 있다. 이에 따라 과거 실버세대 전체를 대상으로 접근하던 마케팅 전략은 실버세대의 특성에 따라 적절히 분류하여 접근하는 방식으로 수정되는 것이 적절하다. 또한 세분군 분류 결과에 따라 고객 접근 전략이 결정되므로, 세분군이 얼마나 동일한 특성을 보유하고 있는 지는 마케팅 계획 수립에 매우 중요한 요소가 된다. 따라서 이론적으로 동일 세분군에 속해 있는 고객의 니즈는 대체로 일치해야 한다. 본 연구에서는 실버세대의 생활 행태와 생애 단계를 감안하여, 실버 세대 대상의 마케팅을 위한 세분군 (細分群) 분류를 수행하였으며, 분류된 세분군의 니즈가 얼마나 일치하고 있는지를 측정하기 위하여 동질도 (DoH: Degrees of Homogeneity)를 측정하였다. 동질도는 각 세분군을 대상으로 수행된 설문조사의 객관식 문항 별로 최다 응답자가 선택한 보기 문항이 다른 문항에 비하여 유의미하게 많다고 판단되는 문항의 수를 전체 문항의 수로 나눈 것으로 정의하였다. 본 연구는 동질도를 활용한 세분군 분류 결과의 적절성 평가 방법을 제시하였다는데 의의가 있으며, 다양한 분야에서 응용될 수 있을 것으로 판단된다. 또한 본 연구에서 제시한 실버세대 세분군 분류 결과는 점차 증가하고 있는 실버세대를 위한 마케팅 방안 수립의 기본 자료로 활용될 수 있을 것으로 판단된다.

• Journal of Information Technology Applications and Management
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• 제22권1호
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• pp.77-93
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• 2015

As the range of the customer choice becomes more diverse, the average life span of companies' products and services is becoming shorter. Most companies are striving to maximize the revenue by understanding the customer's needs and providing customized products and services. However, companies had to bear a significant burden, in terms of the time and cost involved in the process of determining each individual customer's needs. Therefore, an alternative method is employed that involves grouping the customers into different categories based on certain criteria and establishing a marketing strategy tailored for each group. In this way, customer segmentation and customer clustering are performed using demographic information and behavioral information. Demographic information included sex, age, income level, and etc., while behavioral information was usually identified indirectly through customers' purchase history and search history. However, there is a limitation regarding companies' customer behavioral information, because the information is usually obtained through the limited data provided by a customer on a company's website. This is because the pattern indicated when a customer accesses a particular site might not be representative of the general tendency of that customer. Therefore, in this study, rather than the pattern indicated through a particular site, a customer's interest is identified using that customer's access record pertaining to external news. Hence, by utilizing this method, we proposed a methodology to perform customer segmentation. In addition, by extracting the main issues through a topic analysis covering approximately 3,000 Internet news articles, the actual experiment applying customer segmentation is performed and the applicability of the proposed methodology is analyzed.

• 산학경영연구
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• 제6권
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• pp.135-152
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• 1993

The optional market segmentation pricing policy for rooms of hotels are investigated under the assumption of a linear demand function, and for four different situations: (1) single price market, (2) optimal segmentation of the unused capacity of a single-price-maeket, (3) optimal segmantation for all rooms, and (4) opimal segmentation for infiltration from higher priced to adjacent lower priced segments. The purpose of tis study is th show that with proper pricing policy, it would be possible to increase profits considerably. Such a profit increase might be achived by market segmentation coupled with product differentiation, where the different market segments are identified, sperated, and in each segment a different price per room is called for. The different prices are determined based on the specific price elasticity typical for each market segment and the relavant costs. The pricing model implied in this study is based on basic economic pricing theory and optimization techniques. While somewhat complex in its mathmatical solution, it can be easily programmed for use by practitioners, avoiding the need to cope with the technical aspects of the solution. In section II-1, the optimal single-market Single-price policy is evaluated. The optimal strategy under the constraint that only the previously unutilized rooms are segmented is analysed in section II-2, while the optimal strategy without this constraint is determined in section II-3. In section II-4, the optimal market-segmentation pricing policy is derived for the case in which market seperation is allowed for all the rooms under the assumption of custtomer infiltration from each market segment to the adjacent lower priced segment Finally, some considerations relating to the practicality of the model as a decision support tool and the requirements for its implementation are discussed in section III.

• Journal of Information Technology Applications and Management
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• 제10권1호
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• pp.19-34
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• 2003

Identifying customer repurchase intention is very Important for the Internet shopping mall to activate CRM (customer relationship management) in B2C (Business to Customer) eCommerce. In this paper, the experienced buyer's repurchase intention Is analyzed by using the approach of customer segmentation. Total of 979 samples, which had already experience of Internet shopping, are analyzed to demonstrate that the degree of repurchase Intentions differs from each segmented group. The benefit segmentation is performed by identifying private benefits for which consumers can seek among 14 services. The results show that the different group has a significant difference in the repurchase Intention. The results of repurchase intention can lead to practical recommendations for CRM in B2C eCommerce.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권10호
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• pp.4092-4107
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• 2015

We propose a background subtraction method for moving cameras based on trajectory classification, image segmentation and label inference. In the trajectory classification process, PCA-based outlier detection strategy is used to remove the outliers in the foreground trajectories. Combining optical flow trajectory with watershed algorithm, we propose a trajectory-controlled watershed segmentation algorithm which effectively improves the edge-preserving performance and prevents the over-smooth problem. Finally, label inference based on Markov Random field is conducted for labeling the unlabeled pixels. Experimental results on the motionseg database demonstrate the promising performance of the proposed approach compared with other competing methods.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제11권2호
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• pp.41-47
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• 2007

A fine segmentation algorithm is proposed for extracting objects in an image, which have both weak boundaries and highly non-convex shapes. The image has simple background colors or simple object colors. Two concepts, geometric attraction-driven flow (GADF) and edge-regions are combined to detect boundaries of objects in a sub-pixel resolution. The main strategy to segment the boundaries is to construct initial curves close to objects by using edge-regions and then to make a curve evolution in GADF. Since the initial curves are close to objects regardless of shapes, highly non-convex shapes are easily detected and dependence on initial curves in boundary-based segmentation algorithms is naturally removed. Weak boundaries are also detected because the orientation of GADF is obtained regardless of the strength of boundaries. For a fine segmentation, we additionally propose a local region competition algorithm to detect perceptible boundaries which are used for the extraction of objects without visual loss of detailed shapes. We have successfully accomplished the fine segmentation of objects from images taken in the studio and aphids from images of soybean leaves.

• 수산경영론집
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• 제49권4호
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• pp.53-68
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• 2018

The industrial structure of Chuja Island is mainly occupied by fisheries. Since the fisheries resources have been depleted and the marine environment has been changed, the fishery industry has been hard to survive. It is the time when residents are looking for a breakthrough in the tourism industry. Market segmentation is a valuable tool in the establishment of marketing strategies. Segmentation of tourists by the same desire and motivation is an essential factor in identifying the characteristics of tourists. The research on market segmentation of tourism sector focuses mainly on demographic subdivision, psychological subdivision, and behavioral subdivision, so it is urgent to study geographical market segmentation. The purpose of this study is to present data that can be used to establish a marketing strategy for tourism promotion in Chuja Island by analyzing the tourism activities via subdivision market according to demographic characteristics, tourism behavior characteristics, and tourism motivation after grasping the geographical segment of tourists through empirical analysis. In this study, 285 valid samples were analyzed by frequency analysis, ${\chi}^2$ test, cluster analysis and ANOVA test.

• Management Science and Financial Engineering
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• 제13권1호
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• pp.73-91
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• 2007

We investigate factors that influence the choice of high-share brands(HSBs) vs. low-share brands(LSBs) among various product and consumer characteristics related to brand-share perceptions. Specifically, using 8 product categories varying in terms of purchase decision involvement, we show how the influencing factors vary across the categories. At the general level that cover all the 8 categories, our hierarchical Bayesian regressions analysis shows that factors that favor high-share brands are purchase decision involvement, search goods, experience goods, price-quality relationship, positive network externalities, and price-prestige beliefs. Conversely, consumers who value variety seeking and need for uniqueness favor low-share brands. The effects of these factors, however, vary across product categories. The identification of these characteristics can help brand managers establish a more effective brand-share strategy in such areas as setting an optimal market share goal, extending a brand, and developing ad copy. Furthermore, our consumer segmentation analysis demonstrates the general market has two distinct segments - (1) a segment composed of HSB buyers(86%) and (2) a segment composed of LSB buyers(14%). The two segments are also shown to have different significant factors that explain their brand choice. Our segmentation analysis can help marketers establish a marketing strategy that targets a specific segment of interest.

• Journal of information and communication convergence engineering
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• 제21권4호
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• pp.322-328
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• 2023

The number of senior citizens with large bowel obstruction is steadily growing in Korea. Plain radiography was used to examine the severity and treatment of this phenomenon. To avoid examiner subjectivity in radiography readings, we propose an automatic segmentation method to identify fluid-filled areas indicative of large bowel obstruction. Our proposed method applies the Hough transform to locate suspicious areas successfully and applies the possibilistic fuzzy c-means unsupervised learning algorithm to form the target area in a noisy environment. In an experiment with 104 real-world large-bowel obstruction radiographs, the proposed method successfully identified all suspicious areas in 73 of 104 input images and partially identified the target area in another 21 images. Additionally, the proposed method shows a true-positive rate of over 91% and false-positive rate of less than 3% for pixel-level area formation. These performance evaluation statistics are significantly better than those of the possibilistic c-means and fuzzy c-means-based strategies; thus, this hybrid strategy of automatic segmentation of large bowel suspicious areas is successful and might be feasible for real-world use.

• 한국안광학회지
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• 제20권4호
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• pp.405-414
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• 2015

목적: 안경원 고객에 대한 군집분석을 통하여 고객의 세분시장 특성을 분석하고, 이를 안경원 마케팅 전략에 유용한 지표로 삼을 수 있도록 하고자 한다. 방법: 2015년 3월 10일부터 3월 31일 사이에 서울 및 경기북부지역의 안경원을 방문한 고객을 대상으로 설문조사를 실시하였으며, SPSS v.10.0 통계 패키지 프로그램을 활용하여 분석하였다. 분석방법은 빈도분석, 가치관 변수에 대한 요인분석, 시장세분화를 위한 군집분석, 교차분석을 실시하였다. 결과: 가치관에 근거하여 시장을 세분화하였다. 마케팅 전략을 수립할 때 "중도가치 지향 집단", "고도가치 지향 집단", "고도가치 지향 비종교 집단"의 3가지 군집으로 고객을 분류하여 전략을 수립하는 것이 좋은 것으로 나타났다. 누진굴절력렌즈의 마케팅 전략은 "중도가치 지향 집단"에서 자영업자를 중심으로 하는 전략이 가장 중요한 것으로 나타났다. 결론: 군집분석을 통하여 시장을 세분화한 결과 3가지 군집으로 분류되었으며, 누진굴절력렌즈의 가장 중요한 고객은 "중도가치 지향 집단"에서 41세 이상의 자영업자임을 알 수 있었다.