• 제목/요약/키워드: market segment

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A Study on Segmenting of Cruiser Customers (관광유람선 고객의 시장세분화에 관한 연구)

  • Lee, Jun-Hyunk
    • Journal of Global Scholars of Marketing Science
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    • v.16 no.1
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    • pp.73-91
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    • 2006
  • This study was conducted for market segmentation of cruise tourist according to launching the "T" in Busan. Benefit segmentation was used to identify attributes of cruise services; importance of ship's physical appearance and importance of service and activities. 24 attributes were distilled to 5 factors: 'Facility & Service', 'Atmospherics of cruise ship', 'Escape', 'Choice', 'Safety'. A K-means cluster analysis identified three clustered segments for five importance factors in which high loyalty customers were found to be the most important segment. Based on the findings, three distinct groups were formed: 'Moderators', 'High Loyalty', 'Spurious'. The most important factors by high loyalty groups were identified 'Safety', 'Facility & Service', 'Atmospherics of cruise ship', 'Choice', 'Escape' in order. The results of the study showed statistically significant differences among the three groups in terms of demographic and behavioral variables. Especially, the target market should be considered by 'High Loyalty' group and 'Moderators' group in order. Positioning strategies and marketing mix strategies for effectively targeting the segments were discussed.

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Prediction of Market Segment for Ptecticus tenebrifer Experience Programs in Accordance with Insect Experience Orientation (곤충체험 지향성에 따른 동애등에 체험 프로그램의 세분시장 예측)

  • Yang, Jong-Im;Hwang, Dae-Yong;Lee, Jung-Kyu
    • Korean journal of applied entomology
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    • v.54 no.4
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    • pp.409-417
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    • 2015
  • This study aimed to summarize the characteristics of visitor experience for different market segments based on insect experience orientation in order to develop Ptecticus tenebrifer (Diptera: Stratiomyidae [Walker]) experience programs using local resources in the insect industrial market. A total of 325 effective samples were collected, and the attributes of insect experience orientation were connected to education, emotion, society, and ego. The survey respondents were students and parents of school-age children. Cluster analysis showed that the respondents were classified into two or three groups that were all found to be high in the prediction validity and discriminant analysis. Based on this result, the respondents were properly subdivided into three clusters for final analysis. Those three groups were: the passive group, the moderate group, and the active-orientation group. As a group aiming for various insect experiences, the active-orientation group consisted of parents whose children range in age from either 5 to 9 or from 10 to 14. This group was willing to spend 7 ~ 8,000 won on each experience program, and they preferred emotional experience programs. The passive and moderate orientation groups were most interested in having an educational experience. In order to increase people's interest in experience programs, education-oriented programs should be developed and promotional marketing should be reinforced. The results and implications of this study may be useful for the development of insect experience programs that can meet various visitor experience orientations as basic data that can contribute to the vitalization of the 6th industrialization plan for the insect industry.

Measuring Destination Image Components and Segmenting the Market of Forest Region Festival : The Case of Acasia-Honey Festival in Chilgok (산촌지역축제(山村地域祝祭)의 관광지(觀光地) 이미지 구성요인(構成要因) 측정(測定)과 시장분할(市場分割): 칠곡군(漆谷郡) 아카시아벌꿀축제(祝祭)를 대상(對象)으로)

  • Han, Sang-Yoel
    • Journal of Korean Society of Forest Science
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    • v.90 no.6
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    • pp.747-755
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    • 2001
  • This study was analyzed the destination image and tests of image value of forest region festival by segmenting the market. A field survey was conducted during the Acasia-Honey Festival days in Chilgok, the famous acasia-honey products place, from May 12-15, 2001. In this study, 20 image items on five-point Likert scale were examined through factor analysis using a sample of 394 visitors. Four factors were identified as follows : environment, behavior-facilities, festival programs, and products. The author observed if there were statistically significant differences of destination images between the first-time and the repeat visitors, between residents and non-residents, and between purchasers and non-purchasers of acasia-honey products. The results indicated that repeat visitors and residents group had a more positive image of behavior factor such as hospitality and information for festival. And, the author found that purchasers of acasia-honey products had more positive image of product as well as environment factor such as special atmosphere, nostalgia, natural attractions, local culture, and novelty. For these results, it is possible to conclude that local government must effectively provide the festival visitors with well-defined information such as festival contents and schedule, also, develop the programs involved unique attributes of forest region festival to improve festival image.

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The Impacts of Need for Cognitive Closure, Psychological Wellbeing, and Social Factors on Impulse Purchasing (인지폐합수요(认知闭合需要), 심리건강화사회인소대충동구매적영향(心理健康和社会因素对冲动购买的影响))

  • Lee, Myong-Han;Schellhase, Ralf;Koo, Dong-Mo;Lee, Mi-Jeong
    • Journal of Global Scholars of Marketing Science
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    • v.19 no.4
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    • pp.44-56
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    • 2009
  • Impulse purchasing is defined as an immediate purchase with no pre-shopping intentions. Previous studies of impulse buying have focused primarily on factors linked to marketing mix variables, situational factors, and consumer demographics and traits. In previous studies, marketing mix variables such as product category, product type, and atmospheric factors including advertising, coupons, sales events, promotional stimuli at the point of sale, and media format have been used to evaluate product information. Some authors have also focused on situational factors surrounding the consumer. Factors such as the availability of credit card usage, time available, transportability of the products, and the presence and number of shopping companions were found to have a positive impact on impulse buying and/or impulse tendency. Research has also been conducted to evaluate the effects of individual characteristics such as the age, gender, and educational level of the consumer, as well as perceived crowding, stimulation, and the need for touch, on impulse purchasing. In summary, previous studies have found that all products can be purchased impulsively (Vohs and Faber, 2007), that situational factors affect and/or at least facilitate impulse purchasing behavior, and that various individual traits are closely linked to impulse buying. The recent introduction of new distribution channels such as home shopping channels, discount stores, and Internet stores that are open 24 hours a day increases the probability of impulse purchasing. However, previous literature has focused predominantly on situational and marketing variables and thus studies that consider critical consumer characteristics are still lacking. To fill this gap in the literature, the present study builds on this third tradition of research and focuses on individual trait variables, which have rarely been studied. More specifically, the current study investigates whether impulse buying tendency has a positive impact on impulse buying behavior, and evaluates how consumer characteristics such as the need for cognitive closure (NFCC), psychological wellbeing, and susceptibility to interpersonal influences affect the tendency of consumers towards impulse buying. The survey results reveal that while consumer affective impulsivity has a strong positive impact on impulse buying behavior, cognitive impulsivity has no impact on impulse buying behavior. Furthermore, affective impulse buying tendency is driven by sub-components of NFCC such as decisiveness and discomfort with ambiguity, psychological wellbeing constructs such as environmental control and purpose in life, and by normative and informational influences. In addition, cognitive impulse tendency is driven by sub-components of NFCC such as decisiveness, discomfort with ambiguity, and close-mindedness, and the psychological wellbeing constructs of environmental control, as well as normative and informational influences. The present study has significant theoretical implications. First, affective impulsivity has a strong impact on impulse purchase behavior. Previous studies based on affectivity and flow theories proposed that low to moderate levels of impulsivity are driven by reduced self-control or a failure of self-regulatory mechanisms. The present study confirms the above proposition. Second, the present study also contributes to the literature by confirming that impulse buying tendency can be viewed as a two-dimensional concept with both affective and cognitive dimensions, and illustrates that impulse purchase behavior is explained mainly by affective impulsivity, not by cognitive impulsivity. Third, the current study accommodates new constructs such as psychological wellbeing and NFCC as potential influencing factors in the research model, thereby contributing to the existing literature. Fourth, by incorporating multi-dimensional concepts such as psychological wellbeing and NFCC, more diverse aspects of consumer information processing can be evaluated. Fifth, the current study also extends the existing literature by confirming the two competing routes of normative and informational influences. Normative influence occurs when individuals conform to the expectations of others or to enhance his/her self-image. Whereas informational influence occurs when individuals search for information from knowledgeable others or making inferences based upon observations of the behavior of others. The present study shows that these two competing routes of social influence can be attributed to different sources of influence power. The current study also has many practical implications. First, it suggests that people with affective impulsivity may be primary targets to whom companies should pay closer attention. Cultivating a more amenable and mood-elevating shopping environment will appeal to this segment. Second, the present results demonstrate that NFCC is closely related to the cognitive dimension of impulsivity. These people are driven by careless thoughts, not by feelings or excitement. Rational advertising at the point of purchase will attract these customers. Third, people susceptible to normative influences are another potential target market. Retailers and manufacturers could appeal to this segment by advertising their products and/or services as products that can be used to identify with or conform to the expectations of others in the aspiration group. However, retailers should avoid targeting people susceptible to informational influences as a segment market. These people are engaged in an extensive information search relevant to their purchase, and therefore more elaborate, long-term rational advertising messages, which can be internalized into these consumers' thought processes, will appeal to this segment. The current findings should be interpreted with caution for several reasons. The study used a small convenience sample, and only investigated behavior in two dimensions. Accordingly, future studies should incorporate a sample with more diverse characteristics and measure different aspects of behavior. Future studies should also investigate personality traits closely related to affectivity theories. Trait variables such as sensory curiosity, interpersonal curiosity, and atmospheric responsiveness are interesting areas for future investigation.

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UX Methodology Study by Data Analysis Focusing on deriving persona through customer segment classification (데이터 분석을 통한 UX 방법론 연구 고객 세그먼트 분류를 통한 페르소나 도출을 중심으로)

  • Lee, Seul-Yi;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.27 no.1
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    • pp.151-176
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    • 2021
  • As the information technology industry develops, various kinds of data are being created, and it is now essential to process them and use them in the industry. Analyzing and utilizing various digital data collected online and offline is a necessary process to provide an appropriate experience for customers in the industry. In order to create new businesses, products, and services, it is essential to use customer data collected in various ways to deeply understand potential customers' needs and analyze behavior patterns to capture hidden signals of desire. However, it is true that research using data analysis and UX methodology, which should be conducted in parallel for effective service development, is being conducted separately and that there is a lack of examples of use in the industry. In thiswork, we construct a single process by applying data analysis methods and UX methodologies. This study is important in that it is highly likely to be used because it applies methodologies that are actively used in practice. We conducted a survey on the topic to identify and cluster the associations between factors to establish customer classification and target customers. The research methods are as follows. First, we first conduct a factor, regression analysis to determine the association between factors in the happiness data survey. Groups are grouped according to the survey results and identify the relationship between 34 questions of psychological stability, family life, relational satisfaction, health, economic satisfaction, work satisfaction, daily life satisfaction, and residential environment satisfaction. Second, we classify clusters based on factors affecting happiness and extract the optimal number of clusters. Based on the results, we cross-analyzed the characteristics of each cluster. Third, forservice definition, analysis was conducted by correlating with keywords related to happiness. We leverage keyword analysis of the thumb trend to derive ideas based on the interest and associations of the keyword. We also collected approximately 11,000 news articles based on the top three keywords that are highly related to happiness, then derived issues between keywords through text mining analysis in SAS, and utilized them in defining services after ideas were conceived. Fourth, based on the characteristics identified through data analysis, we selected segmentation and targetingappropriate for service discovery. To this end, the characteristics of the factors were grouped and selected into four groups, and the profile was drawn up and the main target customers were selected. Fifth, based on the characteristics of the main target customers, interviewers were selected and the In-depthinterviews were conducted to discover the causes of happiness, causes of unhappiness, and needs for services. Sixth, we derive customer behavior patterns based on segment results and detailed interviews, and specify the objectives associated with the characteristics. Seventh, a typical persona using qualitative surveys and a persona using data were produced to analyze each characteristic and pros and cons by comparing the two personas. Existing market segmentation classifies customers based on purchasing factors, and UX methodology measures users' behavior variables to establish criteria and redefine users' classification. Utilizing these segment classification methods, applying the process of producinguser classification and persona in UX methodology will be able to utilize them as more accurate customer classification schemes. The significance of this study is summarized in two ways: First, the idea of using data to create a variety of services was linked to the UX methodology used to plan IT services by applying it in the hot topic era. Second, we further enhance user classification by applying segment analysis methods that are not currently used well in UX methodologies. To provide a consistent experience in creating a single service, from large to small, it is necessary to define customers with common goals. To this end, it is necessary to derive persona and persuade various stakeholders. Under these circumstances, designing a consistent experience from beginning to end, through fast and concrete user descriptions, would be a very effective way to produce a successful service.

A Study on Market Expansion Strategy via Two-Stage Customer Pre-segmentation Based on Customer Innovativeness and Value Orientation (고객혁신성과 가치지향성 기반의 2단계 사전 고객세분화를 통한 시장 확산 전략)

  • Heo, Tae-Young;Yoo, Young-Sang;Kim, Young-Myoung
    • Journal of Korea Technology Innovation Society
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    • v.10 no.1
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    • pp.73-97
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    • 2007
  • R&D into future technologies should be conducted in conjunction with technological innovation strategies that are linked to corporate survival within a framework of information and knowledge-based competitiveness. As such, future technology strategies should be ensured through open R&D organizations. The development of future technologies should not be conducted simply on the basis of future forecasts, but should take into account customer needs in advance and reflect them in the development of the future technologies or services. This research aims to select as segmentation variables the customers' attitude towards accepting future telecommunication technologies and their value orientation in their everyday life, as these factors wilt have the greatest effect on the demand for future telecommunication services and thus segment the future telecom service market. Likewise, such research seeks to segment the market from the stage of technology R&D activities and employ the results to formulate technology development strategies. Based on the customer attitude towards accepting new technologies, two groups were induced, and a hierarchical customer segmentation model was provided to conduct secondary segmentation of the two groups on the basis of their respective customer value orientation. A survey was conducted in June 2006 on 800 consumers aged 15 to 69, residing in Seoul and five other major South Korean cities, through one-on-one interviews. The samples were divided into two sub-groups according to their level of acceptance of new technology; a sub-group demonstrating a high level of technology acceptance (39.4%) and another sub-group with a comparatively lower level of technology acceptance (60.6%). These two sub-groups were further divided each into 5 smaller sub-groups (10 total smaller sub-groups) through two rounds of segmentation. The ten sub-groups were then analyzed in their detailed characteristics, including general demographic characteristics, usage patterns in existing telecom services such as mobile service, broadband internet and wireless internet and the status of ownership of a computing or information device and the desire or intention to purchase one. Through these steps, we were able to statistically prove that each of these 10 sub-groups responded to telecom services as independent markets. We found that each segmented group responds as an independent individual market. Through correspondence analysis, the target segmentation groups were positioned in such a way as to facilitate the entry of future telecommunication services into the market, as well as their diffusion and transferability.

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The Evolution of Flow-Diverting Stents for Cerebral Aneurysms; Historical Review, Modern Application, Complications, and Future Direction

  • Shin, Dong-Seong;Carroll, Christopher P.;Elghareeb, Mohammed;Hoh, Brian L.;Kim, Bum-Tae
    • Journal of Korean Neurosurgical Society
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    • v.63 no.2
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    • pp.137-152
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    • 2020
  • In spite of the developing endovascular era, large (15-25 mm) and giant (>25 mm) wide-neck cerebral aneurysms remained technically challenging. Intracranial flow-diverting stents (FDS) were developed to address these challenges by targeting aneurysm hemodynamics to promote aneurysm occlusion. In 2011, the first FDS approved for use in the United States market. Shortly thereafter, the Pipeline of Uncoilable or Failed Aneurysms (PUFS) study was published demonstrating high efficacy and a similar complication profile to other intracranial stents. The initial FDA instructions for use (IFU) limited its use to patients 22 years old or older with wide-necked large or giant aneurysms of the internal carotid artery (ICA) from the petrous segment to superior hypophyseal artery/ophthalmic segment. Expanded IFU was tested in the Prospective Study on Embolization of Intracranial Aneurysms with PipelineTM Embolization Device (PREMIER) trial. With further post-approval clinical data, the United States FDA expanded the IFU to include patients with small or medium, wide-necked saccular or fusiform aneurysms from the petrous ICA to the ICA terminus. However, IFU is more restrictive in South Korea than in United States. Several systematic reviews and meta-analyses have sought to evaluate the overall efficacy of FDS for the treatment of cerebral aneurysms and consistently identify FDS as an effective technique for the treatment of aneurysms broadly with complication rates similar to other traditional techniques. A growing body of literature has demonstrated high efficacy of FDS for small aneurysms; distal artery aneurysms; non-saccular aneurysms posterior circulation aneurysms and complication rates similar to traditional techniques. In the short interval since the Pipeline Embolization Device was first introduced, FDS has been firmly entrenched as a powerful tool in the endovascular armamentarium. As new FDS are developed, established FDS are refined, and delivery systems are improved the uses for FDS will only expand further. Researchers continue to work to optimize the mechanical characteristics of the FDS themselves, aiming to optimize deploy ability and efficacy. With expanded use for small to medium aneurysms and posterior circulation aneurysms, FDS technology is firmly entrenched as a powerful tool to treat challenging aneurysms, both primarily and as an adjunct to coil embolization. With the aforementioned advances, the ease of FDS deployment will improve and complication rates will be further minimized. This will only further establish FDS deployment as a key strategy in the treatment of cerebral aneurysms.

Classification of Web Search Engines and Necessity of a Hybrid Search Engine (웹 검색엔진 분류 및 하이브리드 검색엔진의 필요성)

  • Paik, Juryon
    • Journal of Digital Contents Society
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    • v.19 no.4
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    • pp.719-729
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    • 2018
  • Abstract In 2017, it has been reported that Google had more than 90% of the market share in search-engines of desktops and mobiles. Most people may consider that Google surely searches the entire web area. However, according to many researches for web data, Google only searches less than 10%, surprisingly. The most region is called the Deep Web, and it is indexable by special search engines, which are different from Google because they focus on a specific segment of interest. Those engines build their own deep-web databases and run particular algorithms to provide accurate and professional search results. There is no search engine that indexes the entire Web, currently. The best way is to use several search engines together for broad and efficient searches as best as possible. This paper defines that kind of search engine as Hybrid Search Engine and provides characteristics and differences compared to conventional search engines, along with a frame of hybrid search engine.

A Study on the University Students′ Benefits Sought and the Use of Information Sources on the Hair Care Cosmetics (대학생의 모발화장품 추구혜택과 정보원 활용)

  • 권태신;김용숙
    • Journal of the Korean Society of Costume
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    • v.50 no.7
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    • pp.97-111
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    • 2000
  • The purpose of this study were to segment the hair care cosmetics market according to the benefits sought, to categorize the information sources on the hair care cosmetics, and to characterize the profiles of the segmentized groups of university students. Self-administered questionnaires were distributed to 457 university students in Chonbuk province from Jul. 10 to Jul. 21, 1999. Frequencies and percentages were calculated, and factor analysis, cluster analysis, one-way ANOVA, and $\chi$$^2$-test were used. The results were: 1. University student's benefit variables on hair care cosmetics were classified into special function, fashion, practicality, brand, fragrance, styling, nutritional reinforcement, and economy. And they were segmentized into the feeling pursuit, the multi-benefit pursuit, the practicality pursuit, the benefit unconscious, and the function pursuit. The information sources were classified into marketer-dominated sources, neutral sources and consumer -dominated sources. 2. The feeling pursuit strongly sought for fashion, brand and fragrance pursuit, but considered economy less, chiefly used the marketer-dominated and neutral information sources, and showed much interests in hair care cosmetics, and were consisted of women dominantly. The multi-benefits pursuit sought for various kinds of benefits from hair care cosmetics, depended heavily on various kinds of information sources, were well aware of their hair types and instructions on the hair care cosmetics label, and were consisted of women dominantly. The practicality pursuit highly sought for practicality, but low on the fashion, were not aware of their hair style, haler care, hair health status and hair type, and almost half of them are men. The benefit unconscious showed low concern about, all kinds of benefits and hair care cosmetics, and were consisted of more men than women. The function pursuit highly sought for special function and nutritional reinforcement, mainly depended on the consumer-dominated sources. and showed low concern about their hair style and hair care.

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A Study on Fabric Color Mapping for 2D Virtual Wearing System (2D 가상 착의 시스템의 직물 컬러 매핑에 관한 연구)

  • Kwak, No-Yoon
    • Journal of Digital Contents Society
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    • v.7 no.4
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    • pp.287-294
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    • 2006
  • Mass-customization is fast growing a segment of the apparel market. 2D Virtual wearing system is one of visual support tools that make possible to sell apparel before producing and reduce the time and costs related to product development and manufacturing in the world of apparel mass-customization. This paper is related to fabric color mapping method for 2D image-based virtual wearing system. In proposed method, clothing shape section of interest is segmented from a clothes model image using a region growing method, and then mapping a new fabric color selected by user into it based on its intensity difference map is processed. With the proposed method in 2D virtual wearing system, regardless of color or intensity of model clothes, it is possible to virtually change the fabric color with holding the illumination and shading properties of the selected clothing shape section, and also to quickly and easily simulate, compare, and select multiple fabric color combinations for individual styles or entire outfits.

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