The impact of confidence in evaluating on discounting: A missing information context example.
Saved in:
| Title: | The impact of confidence in evaluating on discounting: A missing information context example. |
|---|---|
| Authors: | Burke, Sandra J. (AUTHOR) |
| Source: | Journal of Consumer Behaviour. Sep/Oct2010, Vol. 9 Issue 5, p333-348. 16p. |
| Subjects: | Consumer behavior, Lease or buy decisions, Discount prices, Consumer confidence, Brand choice, Missing data (Statistics) |
| Abstract: | Consumers often use coping mechanisms to aid in processing imperfect information about products when making choices. Specifically, a common evaluation processing pattern of uncertainty detection, uncertainty resolution and discounting behaviour (U–R–D) has been observed, particularly in studies involving missing information (MI). When consumers detect MI (uncertainty), they often discount the MI alternatives unless confidently held inferences are formed to reduce uncertainty (resolution), which attenuates discounting (U–R–D). This paper proposes consumers' overall confidence in evaluating (CE) plays a role in the U–R–D processing pattern. In MI contexts, inferences formed to fill‐in MI may also increase overall CE which may have an effect on discounting that is separate and distinct to that of the formation of confidently held inferences. While the impact on discounting of inferences formed to fill in MI is only relevant in MI contexts, the impact of the more encompassing CE variable may impact non‐MI contexts (affected by non‐MI uncertainty) as well. The concept of CE broadens the scope of the U–R–D processing pattern commonly observed in MI contexts to other evaluation contexts. Two studies demonstrate the role of CE in the U–R–D evaluation process (in MI contexts). A model proposes more general interactive effects of sources of uncertainty, and uncertainty detection and resolution on CE and discounting. Copyright © 2010 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Consumer Behaviour is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | Consumers often use coping mechanisms to aid in processing imperfect information about products when making choices. Specifically, a common evaluation processing pattern of uncertainty detection, uncertainty resolution and discounting behaviour (U–R–D) has been observed, particularly in studies involving missing information (MI). When consumers detect MI (uncertainty), they often discount the MI alternatives unless confidently held inferences are formed to reduce uncertainty (resolution), which attenuates discounting (U–R–D). This paper proposes consumers' overall confidence in evaluating (CE) plays a role in the U–R–D processing pattern. In MI contexts, inferences formed to fill‐in MI may also increase overall CE which may have an effect on discounting that is separate and distinct to that of the formation of confidently held inferences. While the impact on discounting of inferences formed to fill in MI is only relevant in MI contexts, the impact of the more encompassing CE variable may impact non‐MI contexts (affected by non‐MI uncertainty) as well. The concept of CE broadens the scope of the U–R–D processing pattern commonly observed in MI contexts to other evaluation contexts. Two studies demonstrate the role of CE in the U–R–D evaluation process (in MI contexts). A model proposes more general interactive effects of sources of uncertainty, and uncertainty detection and resolution on CE and discounting. Copyright © 2010 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR] |
|---|---|
| ISSN: | 14720817 |
| DOI: | 10.1002/cb.321 |
