Repository logo
Log In(current)
  1. Home
  2. Colleges & Schools
  3. Graduate School
  4. Doctoral Dissertations
  5. CONSUMERS’ SHIFT TO ONLINE APPAREL RENTING: APPLYING THE PUSH-PULL-MOORING FRAMEWORK
Details

CONSUMERS’ SHIFT TO ONLINE APPAREL RENTING: APPLYING THE PUSH-PULL-MOORING FRAMEWORK

Date Issued
August 1, 2025
Author(s)
Lee, Youngdeok
Advisor(s)
Sejin Ha
Additional Advisor(s)
Michelle Childs
Youn-Kyung Kim
Chris Elledge
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/21087
Abstract

This dissertation investigates the phenomenon of consumption switching from buying to renting apparel through the lens of the Push-Pull-Mooring (PPM) framework. Four research questions (RQs) guide this inquiry:


RQ1. What are the key push factors associated with negative apparel purchasing experiences that influence switching intention from buying to renting apparel?

RQ2. What are the key pull factors associated with underlying motivation for apparel renting that influence switching intention from buying to renting apparel?

RQ3. What are the key mooring factors associated with both underlying motivation for apparel renting and negative apparel purchasing experiences that influence switching intention from buying to renting apparel?

RQ4. How are the push, pull, and mooring factors associated with switching intentions from buying to renting apparel?

Study 1 addresses RQs 1-3 by exploring online consumer discussions using big data analytics. This study uncovers four push factors (low quality, frustration, dissatisfaction, and overconsumption guilt) regarding apparel buying, four pull factors (hedonic benefits, financial benefits, product variety, and substitutive value) related to renting apparel, and two mooring factors (environmental concerns and mindful consumption) associated with consumers’ personal traitsregarding switching from buying to renting.

Building on Study 1’s findings, Study 2 addresses RQ 4 through a survey design. Switching cost is added as another mooring factor based on the PPM framework literature; switching intention to renting from buying for apparel is examined as the dependent variable. A total of 482 responses were analyzed using Set-Exploratory Structural Equation Modeling (Set-ESEM) to test the seventeen hypotheses. The results indicate that overconsumption guilt from apparel purchasing, hedonic benefits, financial benefits, substitutive value of apparel renting, and consumers’ mindful consumption significantly enhance their switching intention while switching costs exert a negative effect on switching intention. Furthermore, environmental concerns and mindful consumption, but not switching costs, are shown to have moderating effects on the research model.

This dissertation makes meaningful theoretical contributions to the apparel consumption literature by explaining consumer switching from buying to renting based on the PPM framework. It offers practical implications for apparel rental businesses as to how push, pull, and mooring forces can be leveraged to attract consumers.

Subjects

apparel rental servic...

PPM framework

access-based consumpt...

text mining

switching behavior

Disciplines
Business Analytics
E-Commerce
Fashion Business
Sales and Merchandising
Degree
Doctor of Philosophy
Major
Retail, Hospitality, and Tourism Management
File(s)
Thumbnail Image
Name

Dissertation_Young_Lee_R3___072425.docx

Size

1.72 MB

Format

Microsoft Word XML

Checksum (MD5)

1947aa62164915441131fd596498c13e

Thumbnail Image
Name

auto_convert.pdf

Size

2.01 MB

Format

Adobe PDF

Checksum (MD5)

ea28e866b5a534a55085079e8dcb6cb9


University Libraries

1015 Volunteer Boulevard
Knoxville, TN 37996
865-974-4351

Map & Directions
Donate to the Libraries
  • About
  • John C. Hodges Society
  • Speaking Volumes magazine
  • Outreach
  • Directory
  • Employment
  • Policies
  • Library Intranet
University of Tennessee power T logo

The University of Tennessee, Knoxville
Knoxville, Tennessee 37996
865-974-1000

Events
A-Z
Apply
Privacy
Map
Directory
Give to UT
Accessibility

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science