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Prototyping the Knowledge Model for Solving the Problem of Online Cosmetic Survey Questionnaire through CommonKADS Methodology

机译:通过Compulkads方法解决解决在线化妆品调查问卷问题的知识模型

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摘要

In the process of understanding Chinese customer requirements, Thai cosmetics SMEs are facing difficulties in collecting Chinese customer feedback details because of geographical restrictions. Although product survey through online platforms can solve this problem, it is impossible to avoid the imperfection of questionnaire content when lack of face-to-face communication between researchers and respondents, therefore, questionnaire made for offline product survey activities can no longer meet the needs of online platforms. The objective of this research is to obtain critical elements of cosmetics and their features (including general features and some special features) that influence customer satisfaction, and categorize these features according to the classification rules, to prototype a knowledge model for the online cosmetic survey questionnaire. The CommonKADS method is innovatively used for this objective by in-depth interviewing experts with structured questions to obtain the required knowledge, and to specify the classification rule, so as provide an expert model for general use on cosmetic product research.
机译:在理解中国客户要求的过程中,由于地理限制,泰国化妆品中小企业在收集中国客户反馈细节方面面临困难。虽然通过在线平台的产品调查可以解决这个问题,但是当研究人员和受访者之间缺乏面对面的沟通时,不可能避免调查问卷内容的不完美,因此,为离线产品调查活动制作的问卷也无法满足需求在线平台。本研究的目的是获得影响客户满意度的化妆品及其功能(包括一般功能和一些特殊功能)的关键元素,并根据分类规则对这些功能进行分类,以原型为在线化妆品调查问卷的知识模型。 CommonKads方法通过深入的面试专家进行了创新地用于实现具有结构化问题的专家,以获得所需的知识,并指定分类规则,以便为美容产品研究提供一般用途的专家模型。

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