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  • 标题:The Use of Conjoint and Cluster Analysis For Preference-Based Market Segmentation
  • 本地全文:下载
  • 作者:Nenad Djokic ; Suzana Salai ; Ruzica Kovac-Znidersic
  • 期刊名称:ECONOMICS AND MANAGEMENT
  • 印刷版ISSN:1822-6515
  • 出版年度:2013
  • 卷号:24
  • 期号:4
  • 页码:343-355
  • DOI:10.5755/j01.ee.24.4.3118
  • 语种:English
  • 出版社:Kaunas University of Technology
  • 摘要:Market segmentation implies dividing the market into smaller segments that are homogenous inside, and heterogenous in relation to one another. Market segmentation is a part of strategic marketing, together with targeting and positioning, preceded by marketing research and followed by creating, implementing and controlling the marketing mix. As well as being an essential field of academic research, market segmentation proved to be a very useful concept for managers. The market segmentation concept dates back almost six decades, but issues raised regarding market segmentation more than three decades ago are still relevant and the number of different approaches in answering these questions is high. Preference-based segmentation can also be viewed in this context. Differences in consumers’ preferences are, in fact, one of the vital causes of market segmentation. Preference-based market segmentation can be conducted by using conjoint analysis in combination with cluster analysis. The benefits of such approach are multiple, as they give rise to opportunities for: formulating the questions in a manner similar to real-life purchasing situations; reducing the number of socially desirable answers; introducing several attributes of a given product thus enabling an insight into the relative importance of the product's attributes, and order of preferences for different levels of these attributes, and, based on this, defining different market segments; testing the significance of various other market segmentation criteria (sociodemographic, psychographic and/or behavioural) for profiling the established segments; increasing the comparability of results of different studies; using this approach in planned new product launches and on emerging and developing markets as well as studying the difference between expressed preferences and purchases, in terms of obstacles preventing preferences to transform into purchase phase. Besides theoretical aspects regarding market segmentation and preference-based market segmentation by using conjoint and cluster analysis, this article demonstrates the use of such approach in researching student population in Vojvodina (the northern province of the Republic of Serbia) and this population’s preferences to yoghurt (250 questionnaires handed out, 123 returned filled in, 98 included in the final analysis). In addition to results at the total sample level, two segments were identified and differences between them were investigated. Implications to the questions raised in the theoretical section of the article were sought on the obtained results. The article also seeks to point to the benefits of using this approach in domestic conditions, where its use is almost negligible.
  • 其他摘要:Market segmentation implies dividing the market into smaller segments that are homogenous inside, and heterogenous in relation to one another. Market segmentation is a part of strategic marketing, together with targeting and positioning, preceded by marketing research and followed by creating, implementing and controlling the marketing mix. As well as being an essential field of academic research, market segmentation proved to be a very useful concept for managers. The market segmentation concept dates back almost six decades, but issues raised regarding market segmentation more than three decades ago are still relevant and the number of different approaches in answering these questions is high. Preference-based segmentation can also be viewed in this context. Differences in consumers’ preferences are, in fact, one of the vital causes of market segmentation. Preference-based market segmentation can be conducted by using conjoint analysis in combination with cluster analysis. The benefits of such approach are multiple, as they give rise to opportunities for: formulating the questions in a manner similar to real-life purchasing situations; reducing the number of socially desirable answers; introducing several attributes of a given product thus enabling an insight into the relative importance of the product's attributes, and order of preferences for different levels of these attributes, and, based on this, defining different market segments; testing the significance of various other market segmentation criteria (sociodemographic, psychographic and/or behavioural) for profiling the established segments; increasing the comparability of results of different studies; using this approach in planned new product launches and on emerging and developing markets as well as studying the difference between expressed preferences and purchases, in terms of obstacles preventing preferences to transform into purchase phase. Besides theoretical aspects regarding market segmentation and preference-based market segmentation by using conjoint and cluster analysis, this article demonstrates the use of such approach in researching student population in Vojvodina (the northern province of the Republic of Serbia) and this population’s preferences to yoghurt (250 questionnaires handed out, 123 returned filled in, 98 included in the final analysis). In addition to results at the total sample level, two segments were identified and differences between them were investigated. Implications to the questions raised in the theoretical section of the article were sought on the obtained results. The article also seeks to point to the benefits of using this approach in domestic conditions, where its use is almost negligible. DOI: http://dx.doi.org/10.5755/j01.ee.24.4.3118
  • 关键词:marketing research;market segmentation;market segmentation criteria;preference-based market segmentation;conjoint analysis;cluster analysis
  • 其他关键词:marketing research;market segmentation;market segmentation criteria;preference-based market segmentation;conjoint analysis;cluster analysis
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