論點診斷性如何影響高涉入消費者的偏誤修正
dc.contributor | 蕭中強 | zh_TW |
dc.contributor | Hsiao, Chung Chiang | en_US |
dc.contributor.author | 張語晴 | zh_TW |
dc.contributor.author | Chang, Yu-Qing | en_US |
dc.date.accessioned | 2023-12-08T07:43:48Z | |
dc.date.available | 2022-09-16 | |
dc.date.available | 2023-12-08T07:43:48Z | |
dc.date.issued | 2022 | |
dc.description.abstract | none | zh_TW |
dc.description.abstract | The ELM model developed by Petty and Cacioppo has been used in consumer behavior research for many years to explain how people form and change their opinions and attitudes towards a target. This study aims to find why there is no mention of bias correction in the high involvement of people in the ELM model. Furthermore, we explored a new moderator of argument diagnosticity in this study, and the strong diagnosticity argument was defined as being relevant to the true merit of the target and making consumers more likely to judge the product. The manipulation of high involvement situations and the comparison of four different argument qualities with strong and weak argument diagnosticity under two endorser conditions were employed. Bias corrections will occur when there is weak argument diagnosticity, indicating the argument diagnosticity is a crucial factor. | en_US |
dc.description.sponsorship | 全球經營與策略研究所 | zh_TW |
dc.identifier | 60956014O-42289 | |
dc.identifier.uri | https://etds.lib.ntnu.edu.tw/thesis/detail/2f37b4c630d8500f6c6233b6d2887245/ | |
dc.identifier.uri | http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/119983 | |
dc.language | 英文 | |
dc.subject | none | zh_TW |
dc.subject | Elaboration likelihood model | en_US |
dc.subject | Bias correction theory | en_US |
dc.subject | Argument diagnosticity | en_US |
dc.subject | Argument quality | en_US |
dc.title | 論點診斷性如何影響高涉入消費者的偏誤修正 | zh_TW |
dc.title | How Argument Diagnosticity Accounts for Bias Correction to High Involvement Consumers | en_US |
dc.type | etd |
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