Back to Search
Start Over
PREDICTING CUSTOMER LIFETIME VALUE FOR HYPERMARKET PRIVATE LABEL PRODUCTS
- Source :
- Journal of Business Economics and Management; Vol 18 No 4 (2017); 619-635, Journal of Business Economics and Management, Vol 18, Iss 4 (2017)
- Publication Year :
- 2017
- Publisher :
- Vilnius Gediminas Technical University, 2017.
-
Abstract
- This study develops a model to predict customer lifetime value for hypermarket private label products. It examines the relationships among store awareness, store image variables (i.e., service quality, price/value, convenience, and product quality), private label image, repurchase intention, and customer lifetime value and investigates the moderating role of image fit. The originality of this study lies in filling the gap of previous research on antecedents of private label customers’ behavior by considering store awareness, image fit, and customer lifetime value. Partial least squares structural equation modeling was used to analyze data. The results indicate the following. Store image variables (except product quality) and store awareness affect repurchase intention directly or indirectly through private label image. Image fit moderates the relationships between store image variables (except product quality) and private label image. Private label image facilitates customer lifetime value. This study provides several theoretical and practical implications for hypermarket private label product developments.
- Subjects :
- Economics and Econometrics
HF5001-6182
media_common.quotation_subject
private label product
Structural equation modeling
hypermarket
0502 economics and business
Hypermarket
Business
Quality (business)
Product (category theory)
Marketing
media_common
Service quality
store image
05 social sciences
image fit
Customer lifetime value
Advertising
repurchase intention
Private label
Value (economics)
Business, Management and Accounting (miscellaneous)
050211 marketing
customer lifetime value
store awareness
050203 business & management
Subjects
Details
- ISSN :
- 20294433 and 16111699
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Journal of Business Economics and Management
- Accession number :
- edsair.doi.dedup.....b10d4685fb3973f5812eb5ef4ce2274b