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What makes Internet users visit cyber stores again? key design factors for customer loyalty

Published: 01 April 2000 Publication History

Abstract

Retaining customer loyalty is crucial in electronic commerce because the value of an Internet store is largely determined by the number of its loyal customers. This paper proposes a multi-phased model of customer loyalty for Internet shopping, which fully takes the characteristics of the Internet and cyber shopping into consideration. In order to validate the model, we conducted a web-based survey of the customers of various Internet stores, and the data was processed using structural equation analysis. The results indicate that several factors can effectively increase customer loyalty towards an Internet store and that the relative importance of the identified factors varies according to the level of involvement with the product purchased through the store. We suggest several managerial implications in developing Internet stores for higher customer loyalty based on these results.

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cover image ACM Conferences
CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems
April 2000
587 pages
ISBN:1581132166
DOI:10.1145/332040
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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Published: 01 April 2000

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Author Tags

  1. Internet shopping
  2. customer interface
  3. customer loyalty
  4. electronic commerce
  5. involvement
  6. transaction cost
  7. trust

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CHI00: Human Factors in Computing Systems
April 1 - 6, 2000
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CHI '00 Paper Acceptance Rate 72 of 336 submissions, 21%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

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  • (2022)Online Customer Experience Leads to Loyalty via Customer Engagement: Moderating Role of Value Co-creationFrontiers in Psychology10.3389/fpsyg.2022.89785113Online publication date: 28-Jul-2022
  • (2022)Blockchain Technology in Supply Chain Management – A Discussion of Current and Future Research TopicsScience and Technologies for Smart Cities10.1007/978-3-031-06371-8_32(482-503)Online publication date: 17-Jun-2022
  • (2021)Blockchain-Enabled Trust in Intercompany Networks Applying the Agency TheoryProceedings of the 2021 3rd Blockchain and Internet of Things Conference10.1145/3475992.3475994(8-14)Online publication date: 8-Jul-2021
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