Determining Attributes for Discrete Choice Experiments in Consumer Research

Q3 Social Sciences Transnational Marketing Journal Pub Date : 2022-08-31 DOI:10.33182/tmj.v10i2.2033
Pedro Longart
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引用次数: 2

Abstract

Attribute development for Discrete Choice Experiments (DCEs) through qualitative research is a shallowly covered area. Particularly, research is scant in terms of detail about attribute reduction and development. First of all, the paper reviews the literature and justify DCEs as an appropriate method for determining consumer preferences, with particular focus on services. The researcher conducted a DCE on preferences for restaurants for leisure purposes. Whilst finding there was not a clear guidance, the author proposes a clear methodology for guiding DCE researchers regarding the determination of attributes in consumer research, particularly in the service industry. The case study of restaurant attribute development is used. In this context, the first stage consisted in a thorough review of the literature combined with a thematic analysis of six focus group interviews conducted in the South East of the UK. Attribute reduction took place through constant comparison analysis and the method is comprehensively explained in the paper. The study also looked for control variables and found that occasion for eating out is a very salient variable to be tested in the following DCE which consisted in an Adaptive Choice Based Conjoint online survey (Sawtooth Software). It was found the that combining literature review with focus group interviews results in richer attributes because they are based on more complex and nuanced data. Finally, a proposal with nine steps for attribute development is provided.
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消费者研究中离散选择实验属性的确定
通过定性研究来发展离散选择实验(DCEs)的属性是一个被研究较少的领域。特别是,关于属性约简和发展的详细研究较少。首先,本文回顾了文献并证明dce是确定消费者偏好的适当方法,特别关注服务。研究人员进行了一项关于以休闲为目的的餐馆偏好的DCE调查。虽然发现没有明确的指导,作者提出了一个明确的方法来指导DCE研究人员关于消费者研究中属性的确定,特别是在服务业。运用餐厅属性开发的案例研究。在这种情况下,第一阶段包括对文献的全面审查,并结合对英国东南部进行的六个焦点小组访谈的专题分析。通过不断的对比分析进行属性约简,并对该方法进行了全面的说明。该研究还寻找了控制变量,并发现外出就餐的场合是一个非常显著的变量,需要在接下来的DCE中进行测试,该DCE包括基于自适应选择的联合在线调查(锯齿软件)。研究发现,将文献综述与焦点小组访谈相结合,可以获得更丰富的属性,因为它们基于更复杂和微妙的数据。最后,给出了一个包含九个步骤的属性开发建议。
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来源期刊
Transnational Marketing Journal
Transnational Marketing Journal Social Sciences-Communication
CiteScore
1.60
自引率
0.00%
发文量
22
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