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  1. KEEP
  2. Theses and Dissertations
  3. Barrett, The Honors College Thesis/Creative Project Collection
  4. The Effect of Waiting on Impulse Purchases
  5. Full metadata

The Effect of Waiting on Impulse Purchases

Full metadata

Description

This study was designed to discover any relationship between waiting and purchasing impulse goods. I distributed a survey with three conditions: a control with no wait, a wait with information explaining the wait, and a wait with no information. After the wait, participants saw a group of impulse goods and indicated how much they were willing to spend for each item, and how much they desired to buy each item. Results showed that participants in the treatment condition with information for the wait desired the impulse goods the least, and were willing to spend the least to purchase them. However, there was no significant difference between the participants given no information explaining the wait, and the control group in either desire or the price they were willing to pay. This is possibly explained by the apology in the message read by participants in the condition with information. They felt more valued and were less likely to feel the need to spend money on impulse goods that are often purchased to make the participant feel better about their wait.

Date Created
2016-05
Contributors
  • Thornton, Tiffany Lynn (Author)
  • Mandel, Naomi (Thesis director)
  • Lisjak, Monika (Committee member)
  • Department of Marketing (Contributor)
  • Barrett, The Honors College (Contributor)
Topical Subject
  • Consumer Behavior
  • Behavioral Studies
  • Marketing
Resource Type
Text
Extent
30 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Barrett, The Honors College Thesis/Creative Project Collection
Series
Academic Year 2015-2016
Handle
https://hdl.handle.net/2286/R.I.37488
Level of coding
minimal
Cataloging Standards
asu1
System Created
  • 2017-10-30 02:50:58
System Modified
  • 2021-08-11 04:09:57
  •     
  • 1 year 7 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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