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Anatomic model on web customer satisfaction based on customer behavior

Published: 24 November 2009 Publication History

Abstract

With the rapid development of network, it has become inevitable to research customer satisfaction about network services. In order to find a suitable model for web customer satisfaction, this paper proposes an iterative model which is based on traditional American Customer Satisfaction Index (ACSI for short). First, discusses the foundation of building the model called Web Customer Satisfaction Index (WCSI for short) in four aspects of social relation, psychology, behaviorist and the ACSI working fields. Then, the model methodology, the model collects data from users' behavior records, like average clicking rate, and figure out the score of service quality using the factor analysis method. At last, it calculates the customer satisfaction by summing the weighted difference between service quality score and customer expectation as well as other services quality scores. Customer satisfaction will in turn affect customer loyalty, website image, the user expectations, which contributes to the formation of iterative model.

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Cited By

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  • (2016)Research on personalized recommendation optimization of E-commerce system based on customer trade behaviour data2016 Chinese Control and Decision Conference (CCDC)10.1109/CCDC.2016.7532169(6506-6511)Online publication date: May-2016

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ICIS '09: Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
November 2009
1479 pages
ISBN:9781605587103
DOI:10.1145/1655925
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 November 2009

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Author Tags

  1. customer behavior
  2. customer satisfaction
  3. iterative model

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Cited By

View all
  • (2016)Research on personalized recommendation optimization of E-commerce system based on customer trade behaviour data2016 Chinese Control and Decision Conference (CCDC)10.1109/CCDC.2016.7532169(6506-6511)Online publication date: May-2016

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