Consumers' Behavioral Intentions Regarding Online Shopping

PDF Version Also Available for Download.

Description

This study investigates the consumers' intention towards Internet shopping. The Theory of Planned Behavior is used to predict behavioral intention (BI), which is a function of attitude, subjective norm, and perceived behavioral control (PBC). The effects of demographic and personal variables on BI are also examined. Data analysis (n = 303) indicates that attitude, subjective norm, perceptions of behavioral controls, and previous purchases are significant predictors of behavioral intention. Product/Convenience, Customer Service (attitude factors), Purchase and Delivery, Promotional Offers, Product Attribute (factors of PBC), subjective norm, hours spent online, money spent online, and previous purchases discriminate respondents of high BI ... continued below

Creation Information

Kumar, Shefali August 2000.

Context

This thesis is part of the collection entitled: UNT Theses and Dissertations and was provided by UNT Libraries to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 5004 times , with 22 in the last month . More information about this thesis can be viewed below.

Who

People and organizations associated with either the creation of this thesis or its content.

Chairs

Committee Members

Publisher

Rights Holder

For guidance see Citations, Rights, Re-Use.

  • Kumar, Shefali

Provided By

UNT Libraries

Library facilities at the University of North Texas function as the nerve center for teaching and academic research. In addition to a major collection of electronic journals, books and databases, five campus facilities house just under six million cataloged holdings, including books, periodicals, maps, documents, microforms, audiovisual materials, music scores, full-text journals and books. A branch library is located at the University of North Texas Dallas Campus.

Contact Us

What

Descriptive information to help identify this thesis. Follow the links below to find similar items on the Digital Library.

Description

This study investigates the consumers' intention towards Internet shopping. The Theory of Planned Behavior is used to predict behavioral intention (BI), which is a function of attitude, subjective norm, and perceived behavioral control (PBC). The effects of demographic and personal variables on BI are also examined. Data analysis (n = 303) indicates that attitude, subjective norm, perceptions of behavioral controls, and previous purchases are significant predictors of behavioral intention. Product/Convenience, Customer Service (attitude factors), Purchase and Delivery, Promotional Offers, Product Attribute (factors of PBC), subjective norm, hours spent online, money spent online, and previous purchases discriminate respondents of high BI from low BI. Behavioral intention of shopping online is highest for Specialty Products followed by Personal, Information Intensive, and Household Products.

Language

Identifier

Unique identifying numbers for this thesis in the Digital Library or other systems.

Collections

This thesis is part of the following collection of related materials.

UNT Theses and Dissertations

Theses and dissertations represent a wealth of scholarly and artistic content created by masters and doctoral students in the degree-seeking process. __Some ETDs in this collection are restricted to use by the UNT community__.

What responsibilities do I have when using this thesis?

When

Dates and time periods associated with this thesis.

Creation Date

  • August 2000

Added to The UNT Digital Library

  • Sept. 25, 2007, 9:01 p.m.

Description Last Updated

  • April 26, 2016, 4:49 p.m.

Usage Statistics

When was this thesis last used?

Yesterday: 0
Past 30 days: 22
Total Uses: 5,004

Interact With This Thesis

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

Citations, Rights, Re-Use

Kumar, Shefali. Consumers' Behavioral Intentions Regarding Online Shopping, thesis, August 2000; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc2634/: accessed February 25, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .