A study on factors that increase customer value when conducting television shopping
Hsin-Pin Fu,
Tien-Hsiang Chang,
Kuei-Ying Hsu and
Pei-Shiu Chen
International Journal of Business and Systems Research, 2016, vol. 10, issue 2/3/4, 403-419
Abstract:
This study examined the factors that influence customer value in a TV shopping context. The fuzzy analytic hierarchy process (FAHP) was then applied to obtain the weights of these factors, and their importance was decided based on this. The results reveal that the top five important factors are as follows: payment security, private data security, commodity discount, short delivery time, and product usage security. Among these, payment security, private data security and product usage security are within the category of cost of security/safety. The results suggest that TV shopping operators should pay attention to their reputations in order to maintain a good corporate image and reduce doubts about security/safety. Meanwhile, logistics efficiency should be raised in order to shorten delivery times, and offering more discounts will act as an incentive to attract more shoppers and enhance customer value.
Keywords: TV shopping; television shopping; customer value; fuzzy AHP; analytical hierarchy process; FAHP; private data security; commodity discounts; payment security; product usage security; reputation; corporate image; logistics efficiency; delivery times; discount offers; incentives. (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.inderscience.com/link.php?id=75735 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbsre:v:10:y:2016:i:2/3/4:p:403-419
Access Statistics for this article
More articles in International Journal of Business and Systems Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().