Quoc Cuong Nguyen, Daniele Asioli, Paula Varela, Tormod Næs
{"title":"使用L形数据处理消费者细分的不同方法的比较","authors":"Quoc Cuong Nguyen, Daniele Asioli, Paula Varela, Tormod Næs","doi":"10.1111/joss.12836","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <p>Different approaches for handling consumer segments in L-shape data are compared in a study conducted in Norway. Consumers evaluated eight different yoghurt samples with profiles varying in three intrinsic attributes following a full factorial design. Three blocks of data were collected including sensory properties, liking ratings, and consumer attributes. Data were analyzed using two different approaches. In approach one, the one-step simultaneous L-Partial Least Square (L-PLS) Regression with average consumer liking to represent the segments was used, while approach two was based on a two-step procedure (TSP) based on Partial Least Square (PLS) Regression using dummy variables to represent the segments. The methods were compared in terms of interpretations, flexibility, and outcomes. Methodological implications, recommendations, and future research avenues are discussed.</p>\n </section>\n \n <section>\n \n <h3> Practical Applications</h3>\n \n <p>This manuscript has been devoted to two different ways of handling segmentation in L-shape data of consumer liking, sensory properties, and consumer attributes. Overall, both L-PLS and TSP approaches provide similar interpretation of results. The TSP approach, however, has the advantage of interpretating the horizontal and vertical direction in the L separately using standard regression methods. It is of interest of product development and marketing activities to identify which food product characteristics are important for consumer preferences and to better understand the characteristics of the consumers (e.g., socio-demographics) that drive the consumer acceptance of the different products.</p>\n </section>\n </div>","PeriodicalId":17223,"journal":{"name":"Journal of Sensory Studies","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of different ways of handling consumer segments using L-shape data\",\"authors\":\"Quoc Cuong Nguyen, Daniele Asioli, Paula Varela, Tormod Næs\",\"doi\":\"10.1111/joss.12836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <p>Different approaches for handling consumer segments in L-shape data are compared in a study conducted in Norway. Consumers evaluated eight different yoghurt samples with profiles varying in three intrinsic attributes following a full factorial design. Three blocks of data were collected including sensory properties, liking ratings, and consumer attributes. Data were analyzed using two different approaches. In approach one, the one-step simultaneous L-Partial Least Square (L-PLS) Regression with average consumer liking to represent the segments was used, while approach two was based on a two-step procedure (TSP) based on Partial Least Square (PLS) Regression using dummy variables to represent the segments. The methods were compared in terms of interpretations, flexibility, and outcomes. Methodological implications, recommendations, and future research avenues are discussed.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Practical Applications</h3>\\n \\n <p>This manuscript has been devoted to two different ways of handling segmentation in L-shape data of consumer liking, sensory properties, and consumer attributes. Overall, both L-PLS and TSP approaches provide similar interpretation of results. The TSP approach, however, has the advantage of interpretating the horizontal and vertical direction in the L separately using standard regression methods. It is of interest of product development and marketing activities to identify which food product characteristics are important for consumer preferences and to better understand the characteristics of the consumers (e.g., socio-demographics) that drive the consumer acceptance of the different products.</p>\\n </section>\\n </div>\",\"PeriodicalId\":17223,\"journal\":{\"name\":\"Journal of Sensory Studies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Sensory Studies\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/joss.12836\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sensory Studies","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/joss.12836","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Comparison of different ways of handling consumer segments using L-shape data
Different approaches for handling consumer segments in L-shape data are compared in a study conducted in Norway. Consumers evaluated eight different yoghurt samples with profiles varying in three intrinsic attributes following a full factorial design. Three blocks of data were collected including sensory properties, liking ratings, and consumer attributes. Data were analyzed using two different approaches. In approach one, the one-step simultaneous L-Partial Least Square (L-PLS) Regression with average consumer liking to represent the segments was used, while approach two was based on a two-step procedure (TSP) based on Partial Least Square (PLS) Regression using dummy variables to represent the segments. The methods were compared in terms of interpretations, flexibility, and outcomes. Methodological implications, recommendations, and future research avenues are discussed.
Practical Applications
This manuscript has been devoted to two different ways of handling segmentation in L-shape data of consumer liking, sensory properties, and consumer attributes. Overall, both L-PLS and TSP approaches provide similar interpretation of results. The TSP approach, however, has the advantage of interpretating the horizontal and vertical direction in the L separately using standard regression methods. It is of interest of product development and marketing activities to identify which food product characteristics are important for consumer preferences and to better understand the characteristics of the consumers (e.g., socio-demographics) that drive the consumer acceptance of the different products.
期刊介绍:
The Journal of Sensory Studies publishes original research and review articles, as well as expository and tutorial papers focusing on observational and experimental studies that lead to development and application of sensory and consumer (including behavior) methods to products such as food and beverage, medical, agricultural, biological, pharmaceutical, cosmetics, or other materials; information such as marketing and consumer information; or improvement of services based on sensory methods. All papers should show some advancement of sensory science in terms of methods. The journal does NOT publish papers that focus primarily on the application of standard sensory techniques to experimental variations in products unless the authors can show a unique application of sensory in an unusual way or in a new product category where sensory methods usually have not been applied.