Worcester Research and Publications

SEARCH EPRINTS:

USER PANEL:

Registered Users - Log in using your University of Worcester ID and Password to submit items to the repository.

ABOUT THE COLLECTION:

WRaP is a collection of research papers and university publications. It presents the academic and creative work of the university. You are welcome to look for and obtain items of interest and make contact with the authors and creators.

CONTACT DETAILS:

All correspondence about WRaP should be sent to the Repository Manager.

Examining the effect of shopping mall attributes in predicting tourist shopping satisfaction and behavioral intentions: Variation across generation X and Y

Tools

Lists

Amin, M., Ryu, K., Cobanoglu, C., Rezaei, Sajad ORCID: https://orcid.org/0000-0001-7942-0611 and Wulan, M.M. (2021) Examining the effect of shopping mall attributes in predicting tourist shopping satisfaction and behavioral intentions: Variation across generation X and Y. Journal of Quality Assurance in Hospitality & Tourism, 22 (3). pp. 367-394. ISSN 1528-008X (print) 1528-0098 (eISSN)

Preview

Text
jqaht.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.
Download (444kB) | Preview

Official URL: https://www.tandfonline.com/doi/full/10.1080/15280...

Abstract

The objective of this study is to investigate the effect of shopping mall attributes in predicting tourist shopping satisfaction and behavioral intentions. More specifically, to test the different perceptions of generation X and Y on the relationship between shopping mall attributes, tourist shopping satisfaction and behavioral intentions. A systematic random sampling technique is used in this study. Six hundred questionnaires are distributed to target respondents, of which only 282 samples are returned, yielding a 47% response rate. The results indicate that shopping mall
attributes play an essential role in predicting tourist shopping satisfaction and behavioral intentions. Moreover, tourist shopping satisfaction has a significant relationship with behavioral intentions such as repurchase intention, loyalty, and desire to stay longer at shopping malls. To maintain the relationship with shoppers, shopping malls must continuously improve their service to increase tourist shopping satisfaction and behavioral intentions. Tourists who are more interested in shopping prefer to stay longer and express willingness to return regularly to the shopping mall than tourists who are less interested in shopping. A better understanding of shopping mall attributes in predicting tourist shopping satisfaction is critical for the successful and sustainable shopping tourism industry. It may help mall managers and retailers in building
retail strategies to encourage repurchase intention, loyalty, and desire to stay longer at the shopping malls.

Item Type:	Article
Additional Information:	Staff and students at the University of Worcester can access the full-text of the online published article via the online Library Search. External users should check availability with their local library or Interlibrary Requests Service.
Uncontrolled Discrete Keywords:	shopping mall attributes, tourist-shopping satisfaction, repurchase intention, loyalty, and desire to stay longer, Malaysia, IRWRG
Subjects:	H Social Sciences > H Social Sciences (General)
Divisions:	College of Business, Psychology and Sport > Worcester Business School
Related URLs:	https://www.tandfonline.com/toc/wqah20/c... https://library.worc.ac.uk/
Depositing User:	Sajad Rezaei
Date Deposited:	04 Jun 2020 12:19
Last Modified:	15 Feb 2023 14:33
URI:	https://eprints.worc.ac.uk/id/eprint/9478

Actions (login required)

View Item

Altmetric

CORE (COnnecting REpositories)

© University of Worcester Henwick Grove, WR2 6AJ Tel: 01905 855000 | Materials in WRaP are protected by copyright and other intellectual property rights. By using WRaP you agree to abide by UK copyright laws.

Worcester Research and Publications is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.