Empirical online big data analysis shopping behaviour based on fsQCA approach Online publication date: Tue, 02-Jan-2018
by Chun-Hui Wu; Huan-Ming Chuang; Chien-Ku Lin; Chyuan-Yuh Lin
International Journal of Applied Systemic Studies (IJASS), Vol. 7, No. 1/2/3, 2017
Abstract: Social media networks flourishing make electronic store (e-store) to become wider variety of multimedia services. In order to provide customers with more high service quality, we must understand the key factors of customer shopping behaviour that improve e-store performance by reference. In order to understand the impact of business relationship between the customer and the e-store, we use fuzzy set qualitative comparative analysis (fsQCA) method to analyse the framework of the study with empirical data and conclude three directions as below: 1) the results of fsQCA reveal that situations combining promising positive reliability, responsiveness, assurance, environment quality, delivery quality and outcome quality can lead to a higher level of customer satisfaction and affective commitment; 2) the results exhibit that customers are more willing to purchase again if they experience positive service satisfaction or highly affective commitment; 3) positive affective commitment supports customer advocacy intention.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Applied Systemic Studies (IJASS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook