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Amazon E-Commerce Personalization Survey

This survey is part of an academic business analysis project focused on Amazon's personalized shopping experience and the use of artificial intelligence (AI) for product recommendations. The aim is to gather insights into stakeholder views regarding the relevance, trustworthiness, transparency, customer control, potential risks, and suggested improvements of these recommendations. All responses will be analyzed collectively for academic purposes, and no personally identifiable information will be collected.
1.Which stakeholder perspective best describes you?
2.How frequently do you shop on Amazon or similar e-commerce platforms?
3.How relevant do you generally find personalized product recommendations on Amazon?
Very irrelevant
Somewhat irrelevant
Neither relevant nor irrelevant
Somewhat relevant
Very relevant
4.How much do personalized product recommendations influence your decision to view or purchase a product?
Not at all
Slightly
Moderately
Significantly
Very significantly
5.Which issue with personalized recommendations do you consider most important to address?
6.How important is it for Amazon to explain why a particular product is being recommended?
Not important
Slightly important
Moderately important
Very important
Extremely important
7.How important is it for customers to be able to control or modify the information used to personalize their recommendations?
Not important
Slightly important
Moderately important
Very important
Extremely important
8.Which factor represents the greatest challenge when improving Amazon’s personalization system?
9.Which approach should receive the most consideration when Amazon evaluates ways to improve personalization?
10.What is one change you believe would most improve Amazon’s personalized shopping experience?