Work Description

Title: Impulse Buying Content Analysis and Online Survey Open Access Deposited

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Attribute Value
Methodology
  • 1. Study 1 is a content analysis of e-commerce websites. 2. Study 2 is an online survey on online impulse buyers.
Description
  • This work investigates what features e-commerce sites use to encourage impulse buying and what tools consumers desire to curb their online spending. We present supplementary material for two studies: (1) a systematic content analysis of 200 top e-commerce websites in the U.S. and (2) a survey of online impulse buyers (N=151). Files include: (1) Study 1 Code book for content analysis of websites (2) Study 1 CSV data file resulting from the content analysis (3) Study 1 PDFs (N=200) of e-commerce websites analyzed (4) Study 2 Online survey questionnaire (5) Study 2 Survey code book for free response questions
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Contact information
Discipline
Citations to related material
  • Moser, C., Schoenebeck, S.Y., Resnick, P., 2019. Impulse Buying: Design Practices and Consumer Needs, in: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI ’19. Association for Computing Machinery, Glasgow, Scotland, UK, pp. 1–15. https://doi.org/10.1145/3290605.3300472
Resource type
Last modified
  • 04/27/2020
Published
  • 12/21/2018
DOI
  • https://doi.org/10.7302/d8tf-3q07
License
To Cite this Work:
Moser, C., Schoenebeck, S. Y., Resnick, P. (2018). Impulse Buying Content Analysis and Online Survey [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/d8tf-3q07

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Files (Count: 5; Size: 556 MB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
Study1_ContentAnalysis_CodeBook.pdf 2019-01-07 2019-01-11 53.8 KB Open Access
Study1_ContentAnalysis_Data.csv 2019-01-07 2019-01-11 58.9 KB Open Access
Study1_Website PDFs.zip 2019-01-07 2019-01-15 550 MB Open Access
Study2_Online Survey_Questions.pdf 2019-01-07 2019-01-11 71.2 KB Open Access
Study2_OnlineSurvey_CodeBooks.pdf 2019-01-07 2019-01-11 5.42 MB Open Access

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