One More Episode? An Analysis of Overconfident Behavior in Video Streaming Consumers Open Access

Lee, Tun-Shuo (Spring 2021)

Permanent URL: https://etd.library.emory.edu/concern/etds/0k225c21j?locale=en
Published

Abstract

Binge-watching, and inability to switch from the activity of watching television has always been a staple complaint of students and adult members of the society alike. This issue is especially pronounced following the rise in popularity for subscription based video streaming services like Netflix and Hulu. Streamers find themselves under-projecting their viewing hours and unable to change their behaviors despite the direct costs to productivity and time. Heuristically, these are signs of overconfidence. The purpose of this study is to bring the phenomenon of overconfidence from the realm of anecdotal accounts to the spotlight of experimental studies regarding overconfident consumer behavior in this rising, scarcely explored industry by experimentally garnering support for the existence of overconfidence in streamers and relating it to consumer irrationalities like addiction and emotional investment. The study deployed surveys to the undergraduate population at Emory University, collecting data regarding its subscription profile- duration of ownership, frequency of usage, regularly watched content, etc- and psychological connections to their subscription services. Participants were asked to log predicted and actual streaming hours over a span of a month. Evidence for both definitions of overconfidence was found. Significant differences between predicted and actual consumption, an underestimation gap of 1 hour, was found. Participants also display a tendency to increase consumption by another hour after notified of underestimation behavior, a delay in learning. While regression of the underestimation gap and delay in learning with psychological and subscription profiles was unfruitful, the existence of overconfidence is supported, setting the stage for future works in the topic.

Table of Contents

I.              Introduction……………………………………………………………………….……………………………………1

II.             Literature Review………………………………………………………………………..………………………..…3

III.           Theoretical Model…………………………………………………………………………………………………...6

IV.           Methodology………………………………………………………………………………………….……...….….10

V.            Results………………………………………………………………………………………………………..………...12

i. Dataset and Summary Statistics………………………………………………...……………………...12

ii. Regression Models………………………………………………..…..…………………….…...………....13

i.              “Addiction” ………………………………………………..…………………………......….……13

ii.             “Investment” ………………………………………………….…..…………………….…….….14

iii. Models…………………………………………………...………………..………………………….…...….….15

iv. Hypothesis Tests and Inference……………………………….………….…………….………….….16

i.              “Basic” Models…………………………………………….………………...……………….……17

ii.             “Investment” Models…………………………………….……..………….………..…...…..17

iii.           “Addiction” Models ……………………………….……….……………………...……..…...18

VI.           Discussion …………………………………………………………….…………….……..………………......…...19

VII.         Conclusion…………………………………………………...…………….……………………..…...……...…….24

References……………………………………………….…………….………………………………………………………….25

About this Honors Thesis

Rights statement
  • Permission granted by the author to include this thesis or dissertation in this repository. All rights reserved by the author. Please contact the author for information regarding the reproduction and use of this thesis or dissertation.
School
Department
Degree
Submission
Language
  • English
Research Field
Keyword
Committee Chair / Thesis Advisor
Committee Members
Last modified

Primary PDF

Supplemental Files