营销研究中的内隐认知测度

T. Teichert, Alexander Graf, Sajad Rezaei, Philipp Wörfel, H. Duh
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引用次数: 7

摘要

学者和管理者需要知道,关键的心理过程发生在有意识的意识阈值以下。虽然无意识过程在很大程度上影响消费者的决策过程,但自我报告措施并不能充分揭示这些过程。因此,营销人员需要利用心理学家的间接测量方法,从反应时间任务中推断出无意识的心理内容。本文阐述了三个著名的工具:情绪Stroop任务、内隐联想测试(IAT)和趋近回避任务(AAT)。每个测试都涉及内隐认知的不同方面。本研究描述了这些测试仪器的实验设置和替代程序,以指导学者和从业者在应用隐性措施时。“问问你的大脑”(AYB)调查软件是一个在线研究平台,用于执行所有三种测试类型,并提供了一个成本效益高的实验室实验替代方案。在本文的概念部分,我们概述了这三种测试工具的研究范式,并描述了它们过去在营销领域的应用。我们描述了每个隐式测量仪器的概念背景,总结了其标准测试程序,并简要讨论了相关的方法批评。我们描述了获得的测量数据应该如何准备、浓缩和分析。随后,我们提出了一个实证案例来说明不同测量工具的具体应用,利用从104名南非学生的消费者保护研究中获得的经验数据。这些年轻人在情绪Stroop任务、IAT和AAT中面对酒精刺激。随后,他们执行了一项与酒精饮料和软饮料有关的离散选择任务。基于他们的饮料选择,我们探索了隐性测量与他们的选择行为相关的程度。情绪Stroop任务的前提是情绪刺激比中性刺激更能吸引视觉注意。当参与者被要求尽可能快地说出显示的单词的颜色时,这种干扰会导致反应延迟。虽然我们的研究不能直接支持这一前提,但酒精倾向的参与者对酒精和中性刺激的反应通常更慢。IAT让参与者面对双极性目标类别和双极性属性类别的组合。与被调查者的直觉相对应的类别组合(兼容)有助于任务执行并导致更短的反应时间。在我们的研究中,那些选择了更多含酒精饮料的人对“酒精”和“活跃”(而不是“酒精”和“悲惨”)的组合反应更快。这一发现表明,IAT确实可以预测选择行为。最后,AAT假设个体更快地移动到想要的对象和远离不想要的对象。反应时间和错误率都表明了这种模式。在不一致的任务(推积极项目;拉负面的项目)而不是一致的任务(拉喜欢的项目,推不喜欢的项目)。这一发现表明,隐性测量可以识别消费者的接近和回避倾向。本文对三种突出的内隐认知测量方法提供了方法论见解,并为实践者和学者提供了实践建议。我们举例说明了每种方法在市场营销和消费者研究中的研究问题。我们特别建议使用情感Stroop任务来研究基于注意力的过程,例如,广告曝光。IAT被推荐用于评估更丰富的认知过程,比如产品或品牌形象,而AAT则被推荐用于研究冲动消费对内脏和生物的影响。总的来说,我们鼓励市场研究人员在他们的工具箱中增加隐含的测量,并进一步探索他们的贡献,以更好地理解消费者的决策。
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Measures of Implicit Cognition for Marketing Research
Academics and managers need to know that key mental processes occur below the conscious awareness threshold. While unconscious processes largely influence consumer decision-making processes, self-report measures do not reveal these processes adequately. Consequently, marketers need to utilise psychologists’ indirect measures that infer unconscious mental content from reaction-time tasks. Three well-known tools are explicated in the present article: the Emotional Stroop Task, the Implicit Association Test (IAT), and the Approach-Avoidance Task (AAT). Each test taps into a different facet of implicit cognition. This research describes these test instruments’ experimental setups and alternative procedures to guide academics and practitioners when they apply implicit measures. The Ask Your Brain (AYB) survey software is presented as an online research platform for executing all three test types and provides a cost-efficient alternative to lab experiments. In this paper’s conceptual part, we outline the three test instruments’ research paradigms and describe their past applications in the marketing domain. We describe each implicit measurement instrument’s conceptual background, summarize its standard test procedures, and briefly discuss relevant methodological criticisms. We describe how the obtained measurement data should be prepared, condensed, and analysed. Subsequently, we present an empirical case to illustrate the concrete application of the different measurement instruments, utilising empirical data gained from a consumer protection study of 104 South African students. These young adults were confronted with alcohol stimuli in the Emotional Stroop Task, IAT, and AAT. They subsequently performed a discrete choice task related to alcoholic drinks and soft drinks. Based on their drink choices, we explore the extent to which the implicit measures relate to their choice behaviour. The Emotional Stroop Task is based on the premise that emotional stimuli attract more visual attention than neutral stimuli. This distraction causes a delay in response when participants are asked to name a displayed word's colour as fast as possible. Although our study could not directly support this premise, alcohol-inclined participants generally reacted more slowly to alcohol and neutral stimuli. The IAT confronts participants with combinations of a bipolar target category and a bipolar attribute category. Category combinations corresponding to the respondent's intuition (compatible) facilitate task performance and result in shorter reaction times. In our study, those individuals who chose significantly more drinks containing alcohol reacted faster to combinations of “alcohol” and “active” (rather than “alcohol” and “miserable”). This finding shows that the IAT can indeed predict choice behaviour. Finally, the AAT postulates that individuals move faster to a desired object and away from an undesired object. Both the reaction times and the error rates indicated this pattern. Individuals were slower and produced more errors during incongruent tasks (push positive items; pull negative items) than congruent tasks (pull liked items, push disliked items). This finding show that implicit measures can identify consumers´ approach and avoidance tendencies. This paper provides methodological insights into three prominent implicit cognition measures, as well as practical suggestions for practitioners and academics. We exemplify each method’s usage for research questions in marketing and consumer research. We particularly suggest using the Emotional Stroop Task for studies on attention-based processes, for example, advertisement exposure. The IAT is recommended for assessing richer cognitive processes, such as product or brand images, and the AAT when studying visceral and biological influences on impulsive consumption. Overall, we encourage marketing researchers to add implicit measures to their toolbox and to explore their contributions further for a better understanding of consumer decision making.
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