Honors Theses and Capstones
Date of Award
Spring 2019
Project Type
Senior Honors Thesis
College or School
PAUL
Department
Decision Sciences
Program or Major
Business Administration
Degree Name
Bachelor of Science
First Advisor
Jeffrey Sohl
Abstract
In recent years, Internet of Things (IoT) devices have exploded on the consumer scene. These emerging products bring new technological capabilities into our everyday lives. IoT is projected to contribute anywhere from $4-11 trillion to the global economy and companies are investing billions of dollars into the technology. However, with the vast amount of data that IoT devices collect, consumers are burdening the risk of having their personal data breached or sold to third parties. This paper first identifies why consumers may be weary or willing towards providing their personal data and how unconscious biases in the purchasing process cause consumers to misperceive their level of risk. Then, the impact of potential regulations that may be enacted are analyzed. Finally, a study is conducted that tests consumers’ purchasing behavior around a smart speaker that is offered under a three-tier price model providing three different levels of data privacy. From this study, a two-tier price model is proposed as an effective measure towards ensuring greater equality in the personal data trade between consumers and sellers, and a proactive alternative to regulations that may create new challenges for both parties.
Recommended Citation
LoStocco, Matthew, "Data Disparity: Tiered Pricing as an Alternative to Consumer IoT Data Privacy Regulations" (2019). Honors Theses and Capstones. 446.
https://scholars.unh.edu/honors/446
Included in
Behavioral Economics Commons, Consumer Protection Law Commons, Technology and Innovation Commons