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Online Store Atmospherics: Development of a Gender-Neutral Measure

Date Issued
August 1, 2014
Author(s)
Koo, Wanmo  
Advisor(s)
Youn-Kyung Kim
Additional Advisor(s)
Ann E. Fairhurst
Sejin Ha
Kiwon Lee
Lowell Gaertner
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/23901
Abstract

The study was designed to explore store atmospheric cues currently employed by online retailers. The specific research goals were to establish a comprehensive taxonomy of online store atmospheric cues; and to develop a gender-neutral measurement of online store atmospheric cues identified through qualitative and quantitative approaches.


The study generated an initial item pool via literature review and a focus group interview, and personal interviews were conducted to identify possible online store atmospheric cues and classify items into the identified online store atmospheric cues. A pretest (n = 192) was conducted to initially purify items, and the main study (n = 1751) was conducted for measurement purification and validation. To generate a gender-neutral measurement, the differential item functioning test was conducted for every identified atmospheric cue to eliminate items showing biased responses between males and females. As a result, the study established a gender-neutral measurement consisting 52 items that measure 16 online store atmospheric cues: customization, font, layout, visual, rich media, content, CSR, order fulfillment, company information, merchandise, navigation, promotion, security, support, personalization, and social cues. The study provided implications to future researchers and online retailers based on the findings.

Subjects

Atmospherics

online store atmosphe...

online store environm...

atmospheric cue

differential item fun...

scale development

Disciplines
E-Commerce
Degree
Doctor of Philosophy
Major
Retail, Hospitality, and Tourism Management
Embargo Date
January 1, 2011
File(s)
Thumbnail Image
Name

DIssertation_Submission_Wanmo_Koo.doc

Size

3.19 MB

Format

Microsoft Word

Checksum (MD5)

6b7207da6c86f894fc820b7d892fb7f8

Thumbnail Image
Name

DIssertation_Submission_Wanmo_Koo2.pdf

Size

2.26 MB

Format

Adobe PDF

Checksum (MD5)

1403229d1c6c5c087bdbe73159aa4595

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