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"In Web We Trust": Establishing Strategic Trust Among
Online Customers
Authors:
Irina Ceaparu (irina@cs.umd.edu)
Dina Demner (demner@cs.umd.edu)
Edward Hung (ehung@cs.umd.edu)
Haixia Zhao (haixia@cs.umd.edu)
Abstract
Electronic commerce (e-commerce) provides an important chance for
established large companies to gain more customers as well as for new
small companies to have a good start and rapid growth. Persuading
customers to return to an e-commerce site is even more important
than attracting them in the first place. Establishing trust between customers and companies through
web interface is not as easy as through human-buyer-human-seller interaction.
In the past few years, a number of experiments have been
conducted in order to determine the factors that influence customers'
trust in online businesses. The goal of our experiment was to establish
which features that appear on commercial websites are trust-inducing. Our
study focused on three independent variables: customer service,
testimonial (self and third party) and security features representation
(graphics and text). We designed the homepages of eight web sites with
different combinations of treatments of the three independent
variables. Each of the 52 subjects reviewed all the eight homepages and gave
each of them a relative rank of trustworthiness. After the
experiment subjects answered additional e-trust related
questions. The results of our experiment and the
survey show that
all three features that we tested are important in establishing strategic
trust among on-line customers.
Introduction
Background
The fast growth and development of Internet and
WWW shows the possibility of a new but important medium of business.
Electronic commerce (e-commerce) opens the door for a large variety
of businesses including information-technology related ones and old
traditional ones. It is an important chance for established large
companies to gain more customers as well as for new small companies
to have a good start and fast grow. Through e-commerce, businesses have the
opportunity to sell products and services 24 hours a day and to
reduce costs associated with personnel and retail space. Also,
online businesses have more chances of attracting new customers and
having worldwide exposure.
Designing web sites that efficiently present
products and easily attract customers is one of the challenges of
e-commerce. But selling on the internet is not just creating a web
site. Business-to-customer commerce involves interactions and
transactions between a company and its consumers. Similar to
traditional businesses, it is of great importance for e-commerce not
only to attract customers but also to make them come back.
Traditional commerce uses catalogs, door-to-door sales people, mail
orders and storefronts for their products and services. Unlike
traditional stores, online stores use web-based technologies to sell
products. A transaction in this case is done between a human and a
computer (web) interface.
Although information about different products and
vendors is more accessible and orders and payments can be done
electronically, customers still have to deal with the buying
process. They still have to collect and interpret information, make
buying decisions and enter purchase and payment information.
Relevant theories and previous research
To establish trust between customers and
companies through web interface is not as easy as through
human-buyer-human-seller interaction.
The risks associated with e-commerce can be
broadly classified into the following categories:
- business
practices – there are several questions that arise: whether a
company will really carry out its orders for products
and services as it claims or whether there are product guaranties
- information protection – it is important
for consumers to have confidence that they have reached a properly
identified WWW site, and that the company takes appropriate steps
to protect private consumer information.
- translation integrity - potential consumers
involved in e-commerce seek assurance that the company has
effective transaction integrity controls and a history of
processing its transactions accurately, completely, and promptly,
and of appropriately billing its consumers.
In the past few years, a number of experiments
have been conducted in order to determine the factors that influence
customers’ trust in online businesses.
Some researchers indicate that several factors
(comprehensive information, shared value and communication) can
effectively increase trust, which in turn can increase customer
loyalty. [2]
According to Egger’s research [3],
trustworthiness often depends upon the strength of a brand name,
i.e. its reputation, whether the vendor has a presence off-line or
only online. In addition, to increase consumers’ trust in online
vendors, consumers should also be informed about the vendor’s
privacy policy, e.g. why vendors might require unusual personal
details and what happens to confidential information after the
transaction. Consumers' judgment of trustworthiness can also be
aided by the involvement of truly independent parties. Moreover, a
valid legal framework that supports the transaction may also be a determinant of consumers' trust.
In 1998, AT&T Laboratories conducted an
experiment [5] designed to determine the nature of online privacy
concerns. They established that privacy seals, policies and the
type of information disclosed are important factors in online trust.
The study was done on a sample of 381 Internet users, and its major
findings were:
- Internet users are more likely to provide information when
they are not identified
- Some types of data are more sensitive than others.
- Internet users dislike automatic data transfer.
- A joint program of privacy policies and privacy seals
seemingly provides a comparable level of user confidence as that
provided by privacy laws.
An empirical study in this field was conducted by
Kim and Moon (1998) who investigated which graphic design elements
are most likely to communicate trust. Another e-commerce study was conducted by Cheskin
Research and Studio Archetype [6]. Four hundred and sixty three Web
users and a wide range of experts in the worlds of e-commerce,
Website development and academia contributed to this study. The
study determines the elements that communicate trust in e-commerce
sites, based on consumer and experts feedback. The 6 fundamental
forms to communicate trust are: brand, navigation, fulfillment,
presentation, up-to-date technology, seals of approval.
Trustworthiness is defined as experience over time (build, confirm
and maintain trust).
A second study done by Cheskin Research [7]
extends the learning from the initial Trust Study [6] by
investigating which are the most recognizable and trusted symbols of
online security and by identifying the most trusted websites in the
Americas.
Shneiderman establishes in [1] that trust
is a positive expectation about the future based on past performance
and truthful guarantees and he gives some guidelines on how to
establish trust in e-commerce. The following are some important
ones:
- Provide clear guarantee with compensation
- Get certificates from third parties
- Provide and enforce privacy and security policy
- Disclose patterns of past performance
- Provide references from past and current users
- Support dispute resolution and mediation services
Current products
Examples of organizations that provide
certificates of trust and seals of approval for e-commerce web
sites:
-
TRUSTe (www.truste.org)
is an independent non-profit organization dedicated to building
consumer trust and confidence in the Internet. Their privacy seal
program is an online branded seal which is awarded only to sites
that adhere to the TRUSTe set of privacy principles for disclosure,
access and security.
- BBBOnline (www.bbbonline.org)
is a subsidiary of the Council of Better Business Bureau. Its
mission is to promote trust on the Internet through the BBBOnline
Reliability and Privacy Seal programs. The first confirms that the
company follows good customer service practices and the second
confirms that the company stands behind its online privacy policy
and has met the program requirements regarding the handling of
personal information.
- Verisign (www.verisign.com)
provides through its site trust services a seal of assurance for
e-commerce sites that meet disclosure, integrity and protection
criteria.
- WebTrust (www.cpawebtrust.org)
is a set of principles and criteria for business-to-consumer
e-commerce, developed by the public accounting profession. The
WebTrust seal of assurance is a symbolic representation of a
practitioner's objective report.
- Chamber Seal (www.chamberseal.com)
provides an online trust seal issued by the Chamber of Commerce. It
assures that the holder of the seal is a real and legitimate
business with a physical presence at an identifiable location and
that this information has been verified by a trusted third party –
the local Chamber of Commerce.
Websites
The list includes websites with high and low
trustworthiness reputation among online customers:
- High trust
www.bbc.com
www.yahoo.com
www.barnesandnoble.com
www.reel.com
- Low trust
www.fashionmall.com
www.golfweb.com
Experiments
Introduction and hypothesis
Our experiment is designed to determine what features are important
in inducing strategic trust among
online customers, which factors will
most likely make a B2C e-commerce website trustable and persuasive
to the extent that customers will purchase from the website. We hypothesize that in addition to standard usability issues, these three
issues will influence trust: extensive customer support,
external testimonials and graphical
representation of security and privacy
policies. According
to our hypothesis the most trusted page is the one containing external testimonial, detailed customer support
and contact information, and graphic
seals.
Variables
We chose three common strategic trust inducing features from real websites
that were not thoroughly studied
in previous experiments, but are
considered to be important for an
e-commerce site's trustworthiness. The final version (we changed one independent variable according to the pilot study
results, see section on pilot study
results) of independent and dependent variables are as
follows:
Independent variables:
Customer support (2 treatments):
Minimal contact information: only email address is provided.
Maximal contact information: Email address, telephone numbers, real store addresses are provided.

Testimonial (2 treatments):
Self-testimonial: the web site provides self-testimonial.
External testimonial: the web site has external testimonial from some well-known
magazines and a Feedback Forum.

Security features representation (2 treatments):
| Privacy
policy |
BBB
online certified merchant |
VeriSign
Secure site |
|
Graphics: we used real seals from websites that provide external
testimonials and verify site's security, and designed seals for
self-testimonials.
Text: the testimonial is represented as text.
We designed 2 x 2 x 2 = 8 web pages
(one of the pages is shown above) with different combinations of treatments of the three independent variables, as shown in the table
below:
| Page # |
Customer service |
Testimonial |
Seals |
| 1 |
maximal |
external |
graphic |
| 2 |
maximal |
external |
text |
| 3 |
maximal |
self |
text |
| 4 |
minimal |
external |
text |
| 5 |
maximal |
self |
graphic |
| 6 |
minimal |
external |
graphic |
| 7 |
minimal |
self |
graphic |
| 8 |
minimal |
self |
text |
Dependent variables:
Relative rank of trustworthiness: each subject estimated trustworthiness of each of the eight web pages
on a scale from 1 (least trustworthy) to
9 (most trustworthy).
The pages were presented to the subjects in a random sequence, but the subjects
could re-visit each page. Subjects
were timed and observed during the
evaluation.
Pilot study results
Our original hypothesis stated
that customer support,
external testimonials and short forms
requesting only necessary billing and
shipping information are important in
inducing trust and was changed based on
the results of this study.
We conducted a pilot study on 4 subjects. This small group represented our
target test audience, which is college students or graduate students who are comfortable with computers and have been using Internet before the experiment. All
subjects were timed and observed when they viewed
and ranked the pages. Based on the results of the pilot study, we estimated the amount of time
the experiment will take, broken down into stages:
1. Read the instructions, ask questions, sign Consent Form: ~1 minute
2. View eight web pages, rank them: ~6 minutes.
3. Fill out the questionnaire: ~3 minutes
Based on feedback from our subjects and suggestions from Dr. Eric M. Uslaner, we made the following changes and adjustments to our experiment:
We changed the independent variable of Customer Information Filling Form to Security
Features Representation, because Customer Information Filling Form was not a factor in web page's trustworthiness. All subjects said they
do not care about the filling form because they
can always give fake personal information,
except
for the necessary shipping and billing information. On the other hand, some subjects showed great interest in the security seals on the web pages that we grabbed from the real web sites. They
suggested graphic security seals convey
trustworthiness of a website.
In the questionnaire, we removed the items about Customer Information Filling Form, added questions about the style of security features representation, and shortened the questionnaire to make it more related to trust inducing features customers
might
care about.
We decided to warn subjects that our pages are intentionally similar,
because the subjects of the pilot study
could hardly see the difference, and thought they were viewing
the same page in the beginning.
We rephrased the wording of testimonial and customer support.
We added privacy policy statement on all the pages.
We removed the horizontal scrolling on each page.
Subjects
We chose subjects who are comfortable with computers and have been using Internet before the experiment.
6 undergraduate and 46 graduate students
from the University of Maryland participated in our study. Our subjects consisted of
34 males and 18 females between the ages of
20 to 37. The majority of the subjects are computer science
majors. There were also physics, economics, art history, library science, electrical engineering, mathematics, mechanical engineering,
French and biochemistry majors.
We conducted a within subjects
experiment. No training was required. Prior to the experiment, our subjects were given
instructions about the purpose of the experiment, their tasks, and the procedure of experiment. They were given chance to have their questions answered to satisfaction.
All subjects signed the consent forms.
Materials
The following materials were used to conduct the experiment:
- The simulation of eight
commercial web sites based on a
WinNT server. The results of the
evaluation were automatically
entered into the MSSQL database.
- Post-experimental questionnaire.
- Written and oral instructions.
Procedures and problems
The subjects had no special training to participate in our experiment.
The subjects were given the instructions and consent forms at the beginning of the experiment. They had their questions about the experiment answered to their satisfaction, and signed the consent
forms. Then they were represented with
the first web page of the experimental
interface that is divided into two frames. The left frame contains links to the
eight web pages. Initially the right
frame contains the instructions. The order of the eight web pages linked to the eight buttons is randomly initialized when the index page is loaded. When the buttons are clicked, the web page corresponding to the button is shown in the right frame. The subjects clicked the eight buttons to browse the eight web pages, and gave each page a relative trust rank
on a scale from 1 (least trustable) to 9 (most trustable) by clicking the radio button in the left frame. They
could click the eight buttons in any order they
wanted, and could jump back and forward to make changes of ranks. The experiment software recorded the time subjects took to finish
ranking, which was from the moment the index page was loaded to the moment the subjects clicked the submit button to indicate they have finished ranking. On submission, the ranks
were recorded by the experiment software. Then a short questionnaire asking about subjects' background and opinion about
e-commerce web site trustable features showed up. The subjects answered all the questions, clicked the submit button. The software recorded their answers to the questionnaire and brought up an acknowledgement page. The subjects were observed and asked some questions by the observer about their answers to the questionnaire at the end of experiment.
Problems Encountered
We encountered the following problem while conducting our experiment:
When we ran the first 26 subjects, we suspected that some of them did not take the experiment
seriously, based on the short time they spent (around 2 minutes) ranking the pages.
We recruited 26 more subjects and observed them carefully.
Our observations showed that some of them did
the evaluation very quickly but still seriously,
so we did not discard any subjects.

Results
Our program collected the results of evaluations and the answers to the post-experiment questionnaires into two tables in a MSSQL database. The tables were exported into MS Excel for statistical analysis. (See appendix). We also used VassarStats at http://vassun.vassar.edu/~lowry/VassarStats.htm
for 2x2x2 Analysis of Variance.
ANOVA Summary
| Source |
SS |
df |
MS |
F |
P |
| A (customer support) |
341.66 |
1 |
341.66 |
131.41 |
<.0001 |
| B (testimonial) |
356.31 |
1 |
356.31 |
137.04 |
<.0001 |
| C (graphical representation) |
45.12 |
1 |
45.12 |
17.35 |
<.0001 |
| AB |
20.79 |
1 |
20.79 |
8 |
<.001 |
| AC |
7.27 |
1 |
7.27 |
2.8 |
0.095 |
| BC |
30.69 |
1 |
30.69 |
11.8 |
<.001 |
| ABC |
40 |
1 |
40 |
15.38 |
<.001 |
| Error |
1062.29 |
408 |
2.6 |
|
| Total |
1904.13 |
415 |
|
The results of the three-way ANOVA using degree of trust as the dependent variable,
indicate
three main effects of customer support, testimonials and graphical
representation. There
was also a Customer Support x Testimonial interaction,
Testimonial x Graphics interaction and a significant interaction between
customer support, testimonials and graphical representation.
We ran a set of paired t-tests on maximal vs. minimal customer support for pages with external testimonials, as well as for the self
testimonials that showed a statistically significant difference in degree of trustworthiness both for the pages containing only textual references to security sites and for the graphically enhanced pages.
| Group |
mean max-service |
mean min-service |
t-statistic |
P one-tail |
P two-tail |
| External testimonial + graphic |
7.94 |
5.33 |
10.64 |
<.001 |
<.001 |
| External testimonial + text |
6.38 |
4.48 |
6.76 |
<.001 |
<.001 |
| Self testimonial + graphic |
6.23 |
4.00 |
9.60 |
<.001 |
<.001 |
| Self testimonial + text |
5.25 |
3.00 |
8.69 |
<.001 |
<.001 |
Paired t-test for customer support (t-crit one-tail=2.4; t-crit two-tail=2.67)
Similarly t-tests confirmed our hypothesis that external testimonials matter in establishing customers'
trust and that trustworthiness of the graphically enhanced pages is greater than the trustworthiness of
the text only security references.
The means of trustworthiness ranks and standard deviations for all
pages are displayed below:
| Means |
|
Standard deviations |
| |
graphic |
text |
graphic |
text |
| Testimonial |
Testimonial |
| |
external |
self |
external |
self |
external |
self |
external |
self |
| max
service |
7.94 |
6.23 |
6.38 |
5.25 |
1.14 |
1.5 |
1.66 |
1.69 |
| min
service |
5.3 |
4 |
4.48 |
3 |
1.72 |
1.56 |
1.69 |
1.66 |
Questionnaire results
Out of 52 subjects 11 buy online more than 10 times a year, 23 buy 3 to 10 times, 15 - 1 to 3 times and 3 students never bought anything online.
Only two students are online at least 2-3 times a week, the rest is online every day.
20 of 52 people spend more than 3 hours online; 29 spend 1 to 3 hours and only 3 students spend less than an hour.

All three students that never bought anything online consider security to be a significant factor in their decision. So do other 34 (37 total) people. Only one student does not take the security of the site into consideration while making his 3 to 10 online purchases a year. 14 people list the security feature as a small factor in their decision.
We added an average degree of trust for each person obtained in the experiment to the questionnaire results as a dependent variable for
statistical analysis. The analysis showed that some of the factors we predicted to be important in establishing trust, are indeed important. The two-sample t-test confirmed the importance of the following features (t critical one-tail=2.4, t critical two-tail=2.7):
security and privacy seals; contact number available; clearly stated return policy;
possibility to return a purchase at a nearby store; discount or special offers;
ease of use of the website; privacy statements. There was no
statistically significant difference for other factors.
| Factor |
Mean value |
Standard deviation |
t-statistic |
| Security and privacy seals |
6.69 |
1.92 |
4.75 |
| External testimonials |
5.79 |
1.74 |
1.63 |
| Contact number available |
7.35 |
1.99 |
7.00 |
| Being able to visit the real store |
5.62 |
2.43 |
0.84 |
| Clearly stated return policy |
7.37 |
1.79 |
7.55 |
| Possibility to return a purchase at a nearby store |
6.38 |
2.47 |
3.21 |
| Privacy statements |
6.21 |
2.06 |
3.01 |
| Merchandize type |
6.13 |
2.23 |
2.59 |
| Discount or special offers |
6.60 |
2.24 |
4.02 |
| Professional design of the website |
5.73 |
2.15 |
1.22 |
| Ease of use of the website |
6.31 |
1.95 |
3.40 |
Some values were very close to critical, for example merchandise type (t =2.59).

Discussion
The goal of our experiment was to establish which
features that appear on commercial websites are trust
inducing. Previous studies determined that elements like brand, navigation,
fulfillment, presentation, up-to-date technology, seals of
approval communicate trust in e-commerce websites.
Our study focused on customer service, testimonial
(self and third party) and security features
representation (graphics and text).
Three-way analysis shows that there
is interaction between three tested
features. Interaction between
testimonials and their graphical
representation and testimonials and
customer support is significant. The analysis of customer service feature showed that
extensive customer support is very important. The pages
that have extended customer service scored on average 2
points higher than the pages that contained only the
email address of the online store. This outcome is
supported by the post-experimental questionnaire results
which showed that information like contact address and
number and clearly stated return policy are a major
concern for the customers. These two features scored
highest among all decisional factors for online
purchases.
The analysis of self and third party testimonial
showed that the presence of an external testimonial also
contributes to building up trust. Although this proved
to be statistically significant in the experiment, in
the questionnaire it was not considered to be that
significant. 16 out of 52 subjects never heard of the
third parties presented in our pages. So there may be
other reasons that contribute to this significant
difference. According to subjects' feedback one of the
reasons may be the amount of information customers
see on the front page of the website - the longer text
is visually more convincing.
The analysis of security features representation
showed that graphic seals of approval and graphic
security seals induce more trust as opposed to the same
information just textually represented. The reason for
that may be that visual memory triggers trust without
analysis of content.
The questionnaire the subjects filled after the
experiment helped towards a better understanding of the
problem. Our expectation was that the mentioning of a real
store would add to the credibility of the website. The
subjects' feedback show that they do not consider the
online store to be an extension of the real store, but
rather its convenient replacement. Therefore, details
about the real store proved to be not important.
As opposed to previous studies and our expectations,
merchandise type was not a concern for our subjects. The
reason for this may be that most of our subjects were
computer science students and the websites were selling
computers, and they might have assumed that the
merchandise type meant brand.
Conclusions
Impact for practitioners
Our experiment shows that all three features that we tested
are important in establishing strategic trust among
on-line customers. Website designers should include all
customer service information available, provide phone
numbers for technical support, clearly state the return
policy, and provide address for merchandize return.
Graphic seals should be included as well as external
testimonials, if available.
Suggestions for future research
Our study can be
considered as a preliminary investigation into a very
interesting topic of on-line trust. Future research
should take into consideration the following issues that
we came across when running our experiment:1. We were
very careful about the visual impact of colors, size of
tables, but we did not take into consideration the
length of text. 2. The source of the external
testimonial has to be meaningful to the subjects. 3.
The questionnaire should be more specific about the kind
of information requested. 4. Because the dependent
variable of the experiment is subjective, the number of
subjects should be greater, and they should belong to
different population groups.
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