• Title, Summary, Keyword: Market Segmentation

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Freight Market Segmentation Using Company Size and Shipment Characteristics Data (사업체 규모 및 출하특성 자료를 이용한 화물운송시장 분할)

  • Choe, Chang-Ho;Nam, Du-Hui
    • Journal of Korean Society of Transportation
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    • v.24 no.4
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    • pp.103-113
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    • 2006
  • Market Segmentation for Freight Transportation has been used to know the strategies both efficiency of freight transportation market and attraction of freight volume for carriers. It was so difficult to understand the individual preference of shippers that all shippers could be only homogenized through market segmentation. In Korea. standard Industrial classification has been used for freight market segmentation. This study evaluated another new market segmentation method for manufacturing industry. From the study, we knew that the best relevant market segmentation criterion was annual input-output volume, which showed excellent segmenting ability. Also. the results showed many differences against segmentation results according to standard industrial classification. This study had a meaning as a new trial which segmented freight transportation market using company size and shipment characteristic data.

A study on Criteria of International Market Segmentation - Centering on the Market of Passenger Car (국제시장 세분화 기준에 관한 연구 - 승용차 시장을 중심으로-)

  • 김동진
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.19 no.40
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    • pp.187-201
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    • 1996
  • Market segmentation is the act of dividing a market into distinct groups of buyers who might require separate products and/or marketing mixes. For the selection of target markets which is the first stage for the development of international market, international market segmentation should be preceded and objective criteria(variables) for the markets segmentation are necessory. Criteria of international market segmentation for passenger car are constituted with consumer characteristics, characteristics of consumer response, manufacturer characteristics and environment. Criteria of consumer characteristics include geographic variables(nation), G.N.P per capita and so on, criteria of characteristics of consumer response contain the number of possessed car, the number of registered car, the number of imported car and the number of possessed car per 1,000 persons.

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Archival Reference Services Based on Market Segmentation (시장세분화 기반의 기록정보서비스에 관한 고찰)

  • Joung, Kyoung-Hee
    • Journal of Korean Library and Information Science Society
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    • v.38 no.3
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    • pp.277-296
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    • 2007
  • This study aims to propose that archives introduce marketing strategies for their archival reference services. Target marketing which is based on market segmentation for customer satisfaction is popular among enterprises in these days. Market segmentation strategy of target marketing need to be used for user centered archival reference services in archives. This study proposed that demographic, geographic, psychographics, and use variables can be used for archival user segmentation. And for the user segmentation, archives should collect data of use and users systematically.

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Segmentation by Benefit Sought in Marketing Channel : A Sequential Approach (추구혜택에 의한 유통시장의 시장세분화 : 순차적 접근)

  • Yi, Seong-Keun;Kim, Jae-Wook;Lee, Seo-Koo
    • Journal of Distribution Research
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    • v.10 no.3
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    • pp.87-101
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    • 2005
  • Market segmentation has been an important issue in marketing for a long time. Many models and statistical methods have been developed by many scholars. The purpose of this research provides one insight for market segmentation based on clustering technique in channel benefit sought. We proposed a sequential approach in market segmentation. A sequential approach means that we do market segmentation by multi-stage method based on the benefits sought in marketing channel. To achieve this approach, we divided the main benefits sought into subcategories. That is to say, after dividing each benefit sought into more detailed concepts, we did market segmentation sequentially.

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A Methodology of Conjoint Segmentation for Internet Shopping Malls Using Customer's Surfing Data (인터넷 쇼핑몰 방문자의 행위 분석을 이용한 컨조인트 시장세분화 방법론에 대한 연구)

  • Lee, Dong-Hoon;Kim, Soung-Hie
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • pp.187-196
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    • 2000
  • A lot of Internet shopping malls strive for obtaining a competitive advantage over others in an increasingly tighter electronic marketplace. To this end, understanding customer preference toward products (or services) and administering appropriate marketing strategy is essential for their continuous survival. However, only a few marketing researchers and practicioners focused on this issue, compared with academic and industry efforts devoted to traditional market segmentation. In this paper, we suggest a methodology of conjoint segmentation for electronic shopping malls. Traditional market segmentation methodologies based on customer's profile sometimes fail to utilize abundant information given while navigating around cyber shopping malls. In this methodology, we do not impose information overload to the customer for preference elicitation, but this methodology, we do not impose information overload to the customer for preference elicitation, but capture automatically generated surfing or buying data and analyze them to get useful market segmentation information. The methodology consists of 4-stages: 1) analyzing legacy homepages, 2) data preparation, 3) estimating and interpreting the result, and 4) developing marketing mix. Our methodology was to give useful guidelines for market segmentation to companies working in the electronic marketplace.

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A Study on Ubiquitous Health Business Model - Focused on Market Segmentation (유비쿼터스 헬스 비즈니스 모델 연구 - 시장 세분화 분석 중심)

  • Kim, Min-Cheol;Ha, Tai-Hyun
    • Journal of Digital Convergence
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    • v.7 no.3
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    • pp.93-102
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    • 2009
  • Recently, concerns regarding ubiquitous health have been on the increase according to development of ubiquitous technology and growth of health industry. This study suggested a necessity for market segmentation for the creation of new markets of ubiquitous health business under this background. This paper also analyzed possibile health service industry with characteristics of customers by making an analysis of market segmentation. It was grouped into 4 parts by factor analysis and cluster analysis with raw data collected, the results showed that they would be main potential ubiquitous health service industry. However, some are not significant in statistics, which means that since ubiquitous health industry has not yet been experienced, it probably shows uncertainty about its favour. Finally, the study suggested that a future study should build up more detailed market segmentation data with continuous supplementation.

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A Study on Geographical Market Segmentation of Island Tourists (섬 관광객의 지리적 시장세분화에 관한 연구)

  • Lee, Jin-Hee
    • The Journal of Fisheries Business Administration
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    • v.49 no.4
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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.

A Study on Market Segmentation through Clothes Image Preferences and Benefit (PartII) (선호 의복이미지와 편익에 의한 시장세분화에 관한 연구 (제2보))

  • 이숙희;임숙자
    • Journal of the Korean Society of Clothing and Textiles
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    • v.27 no.3_4
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    • pp.322-332
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    • 2003
  • The purpose of this study was to segment the consumer market for women's street clothes based on benefit sought. The sample was taken from 1106 middle class women who were in their 30's-40's living in Gwangju city. Consumers were classified into three groups by honest sought. The groups were practical benefit seeking group(36.7%), multi-benefit seeking group(32.6%) and symbolic/aesthetic benefit seeking group(30.7%). ANOVA, $\chi$$^2$-test revealed differences among groups according to benefit sought, use of information sources, purchasing behavior variables and demographic variables As a result of comparison for two market segmentations, benefit segmentation was proven to be more useful than segmentations using clothes image preference. But there were differences in psychological variables and demographic variables among the same benefit segments. Therefore hybrid approach on segmentation using clothes images preferences and benefit sought is neccesary.

Splitting Algorithm Using Total Information Gain for a Market Segmentation Problem

  • Kim, Jae-Kyeong;Kim, Chang-Kwon;Kim, Soung-Hie
    • Journal of the Korean Operations Research and Management Science Society
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    • v.18 no.2
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    • pp.183-203
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    • 1993
  • One of the most difficult and time-consuming stages in the development of the knowledge-based system is a knowledge acquisition. A splitting algorithm is developed to infer a rule-tree which can be converted to a rule-typed knowledge. A market segmentation may be performed in order to establish market strategy suitable to each market segment. As the sales data of a product market is probabilistic and noisy, it becomes necessary to prune the rule-tree-at an acceptable level while generating a rule-tree. A splitting algorithm is developed using the pruning measure based on a total amount of information gain and the measure of existing algorithms. A user can easily adjust the size of the resulting rule-tree according to his(her) preferences and problem domains. The algorithm is applied to a market segmentation problem of a medium-large computer market. The algorithm is illustrated step by step with a sales data of a computer market and is analyzed.

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Market Segmentation Strategy for Internet Marketing in Libraries (도서관의 인터넷 마케팅을 위한 시장세분화 전략)

  • 한계문
    • Journal of Korean Library and Information Science Society
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    • v.34 no.1
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    • pp.111-129
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    • 2003
  • These days, libraries are faced with necessity f3r the systems to solve various and heterogeneous customers' needs. It is efficient through market segmentation to understand customers' needs and the use behaviors, to select the target markets, and to establish the proper marketing strategy for them. This study examines the necessity for library marketing, the importation for Internet marketing and the plans for the application, and suggests for plans of strategy for market segmentation In libraries.

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