E-commerce of Eco Bags on Basis of Pareto Improvement
Qing Li ()
Additional contact information
Qing Li: City University of Macau
A chapter in Innovation in the High-Tech Economy, 2013, pp 13-22 from Springer
Abstract:
Abstract In order to build an e-commerce website of eco bags welcomed by Macau people, this research analyzes feasibility of eco bag website by questionnaire. Firstly, Pareto indicates the highest percentage of consumer interest in eco bag website among these three factors: namely online product, website design and LOHAS. Secondly, a path chart illustrates cause-effect relationships among website design, online product, LOHAS, and buying behavior. Moreover, on the basis of Pareto improvement, website design, online product, LOHAS, and buying behavior are improved. Finally, a conclusion is that, compared to online product and LOHAS, the percentage of consumer interest in website design is the highest and cause-effect relationships in variables are found. Meantime, through constant improvement, utility ratio of website is improved greatly and buyers as well as makers get benefit. The research helps building a successful eco bag website and is a valuable reference for a mutual benefit for online consumers and makers.
Keywords: Buying behavior; LOHAS; Online product; Pareto improvement; Website design (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:conchp:978-3-642-41585-2_2
Ordering information: This item can be ordered from
http://www.springer.com/9783642415852
DOI: 10.1007/978-3-642-41585-2_2
Access Statistics for this chapter
More chapters in Contributions to Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().