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and dispute resolution. Furthermore, some types
of assurance organizations (i.e., AICPA) may
generate greater trust for certain e-retailers (e.g.,
online trading, banking, mortgage brokers) due to
enhanced perceptions of expertise, since expert
endorsers are most effective for products high in
financial, performance, or physical risk (Fried-
man & Friedman 1979). Additional research may
discern if well-known consumer advocates (i.e.,
BBB) generate trust for specific types of products,
e-retailers, or Internet shoppers.
of the study might test the findings in an actual
purchase situation. It is our hope that this research
motivates further inquiry into an important area
in the success of e-commerce.
reFerenCes
Ajzen, I., & Fishbein, M. (1980). Understanding
the attitudes and predicting social behavior.
Englewood Cliffs, NJ: Prentice-Hall.
Anderson, E., & Weitz, B. (1992). The use of
pledges to build and sustain commitment in distri-
bution channels. Journal of Marketing Research ,
29 (1), 18-34.
ConClusion
It appears that Internet consumers may inter-
mingle assurance organizations and e-retailers in
ways that have not been considered. This study
contributes to the online trust literature and pro-
vides important questions for future research,
as the findings have important implications for
the future and scope of e-commerce assurance
services. Understanding how users perceive
assurance organizations and symbols can aid
in the creation of services that more effectively
address users' online concerns. The success of
e-commerce depends on identifying stakeholders,
understanding and addressing assurance needs,
and enhancing the dominant drivers of trust.
As the generalizability of any research is al-
ways a concern, the results of this study should be
interpreted within the factors that limit the study.
First, the study uses a single Web site and a single
product category with a constant review time.
While this controls variation and aids reliability,
it also limits the generalizability of the results to
other populations and/or products. Further studies
are necessary to evaluate the research findings in
different situations. Second, the study simulates
a potential online purchase situation and a sig-
nificant financial risk to the respondents. While
realistic purchase simulations have been used
extensively in online trust research, an extension
Anderson, J., & Gerbing, D. (1988). Structural
equation modeling in practice: A review and
recommended two-step approach. Psychological
Bulletin , 103 (3), 411-423.
Ashton, R., & Kramer, S. (1980). Students as
surrogates in behavioral accounting research:
Some evidence. Journal of Accounting Research,
18 (1), 1-3.
Boulding, W., & Kirmani, A. (1993). A consumer-
side experimental examination of signaling theory.
Journal of Consumer Research , 20 (1), 111-123.
Craig Jr., J. (2000). AICPA modifies WebTrust
to respond to marketplace. The Trusted Profes-
sional, 6 , 3-4.
Crowell, W. (2001). Trust, the e-commerce differ-
ence. Credit Card Management, 14 (5), 80.
Dean, H., & Biswas, A. (2001). Third-party orga-
nization endorsement of products: An advertising
cue affecting consumer pre-purchase evaluation
of goods and services. Journal of Advertising,
30 (4), 41-57.
DeSarbo, W., & Harshman, R. (1985). Celebrity
brand congruence analysis. Current Issues and
Research in Advertising, 8 (1), 17-52.
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