A Comparison of Online Trust Building Factors between Potential Customers and Repeat Customers
Abstract
While vendors on the Internet may have enjoyed an increase in the number of clicks on their Web sites, they have also faced disappointments in converting these clicks into purchases. Lack of trust is identified as one of the greatest barriers inhibiting Internet transactions. Thus, it is essential to understand how trust is created and how it evolves in the Electronic Commerce (EC) context throughout a customer's purchase experience with an Internet store. As the first step in studying the dynamics of online trust building, this research aims to compare online trust-building factors between potential customers and repeat customers. For this purpose, we classify trust in an Internet store into potential customer trust and repeat customer trust, depending on the customer's purchase experience with the store. We find that trust building differs between potential customers and repeat customers in terms of antecedents. We also compare the effects of shared antecedents on trust between potential customers and repeat customers. We find that customer satisfaction has a stronger effect on trust building for repeat customers than other antecedents. We discuss the theoretical reasons for the differences and the implications of our research.
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Research efforts extending understanding of e-commerce institutional mechanisms to online repurchase have been limited.
“In contrast to the fruitful research findings on the role of institutional mechanisms in the context of initial online purchase, research efforts spent in extending the understanding of ecommerce institutional mechanisms to the context of online repurchase have been limited.”
From Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms1 (2014) · cites this paper as Kim et al. 2004
Empirical research adding evidence to the conjecture that institutional mechanisms may not take effect in existing relationships has been rare, with very few exceptions.
“Empirical research adding evidence to this conjecture has been rare, with very few exceptions (Kim et al. 2004).”
From Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms1 (2014) · cites this paper as Kim et al. 2004
Numerous studies have examined the respective direct effects of process-based and institution-based trust production on trust, with little research recognizing that different sources of trust production could complement each other.
“Numerous studies have examined their respective direct effects on trust (Flavian et al. 2006; Kim et al. 2004; Li et al. 2006; Ribbink et al. 2004) with little research recognizing that different sources of trust production could complement each other.”
From Trust, Satisfaction, and Online Repurchase Intention: The Moderating Role of Perceived Effectiveness of E-Commerce Institutional Mechanisms1 (2014) · cites this paper as Kim et al. 2004
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- Authors
- National University of Singapore, S., Kim, H.-W., Xu, Y., National University of Singapore, S., Koh, J., & Electronics, S.
- Affiliations
- National University of Singapore (SG)
- Corresponding author
- Koh, Joon
- Venue
- Journal of the Association for Information Systems
- Publisher
- Association for Information Systems
- Published
- 2004-10
- Volume
- 5
- Issue
- 10
- Pages
- 392-420
- ISSN
- 1536-9323 (ISSN-L)
- OpenAlex
- W2293834668
- Cited by
- 452
- References
- 70
- Citations by year
- 2026: 11 · 2025: 15 · 2024: 14 · 2023: 17 · 2022: 27 · 2021: 27 · 2020: 27 · 2019: 31 · 2018: 37 · 2017: 26 · 2016: 37 · 2015: 31 · 2014: 23 · 2013: 30 · 2012: 18
- FWCI
- 16.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Association for Information Systems (publishedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- e-commerce, potential customers, repeat customers, customer satisfaction, antecedents of trust, online store, online purchase decision
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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