Date

5-12-2015

Document Type

Thesis

Abstract

Predictive shopping is a branch of predictive analytics that has surfaced over the past year. It is a concept whereby companies use predictions to enroll the consumer in special programs in which they receive goods and services, and are asked to pay for them, before they have actually chosen them. This is a revolutionary concept that could potentially change the face of online shopping. Through research and analysis I explored how a sample of 125 college students at Bridgewater State University felt about predictive shopping and what place it has in society today or in the near future. Through the creation and distribution of printed surveys, based on my own inquiries along with previously examined questions done by Harvard Law professor and lead researcher Cass Sunstein, I analyzed the results of the questionnaire. I created a database of my findings, analyzed that data, and explored topics within this field to make predictions and conclusions. I determined that about 1 out of 5 college students were in favor of predictive shopping. Out of this group, fifty percent of them would be willing to enroll into predictive shopping programs that did not explicitly ask for the buyers’ consent for the product.

Department

Management

Thesis Comittee

Todd Harris (Thesis Director)

Krista Hill Cummings

Jakari Griffith

Copyright and Permissions

Original document was submitted as an Honors Program requirement. Copyright is held by the author.

Download

Share

COinS