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Salo &<br />

Karjaluoto<br />

(2007)<br />

Mukherjee<br />

& Nath<br />

(2003)<br />

Grudzewski<br />

et al (2008)<br />

Fazlollah<br />

(2002(<br />

ijcrb.webs.com<br />

INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS<br />

12 paper<br />

about trust <strong>in</strong><br />

onl<strong>in</strong>e<br />

markets,<br />

onl<strong>in</strong>e<br />

purchase and<br />

e- commerce<br />

510 users <strong>of</strong><br />

<strong>in</strong>ternet <strong>in</strong><br />

India<br />

-<br />

40person<br />

A proposed model<br />

<strong>of</strong> onl<strong>in</strong>e trust<br />

A model <strong>of</strong> trust <strong>in</strong><br />

onl<strong>in</strong>e relationship<br />

bank<strong>in</strong>g<br />

A model <strong>of</strong> trust<br />

A conceptual<br />

model <strong>of</strong> trust <strong>in</strong><br />

Internet shopp<strong>in</strong>g<br />

(CTIS)<br />

Long-term orientation<br />

Relationship build<strong>in</strong>g<br />

Investments <strong>in</strong> Japan<br />

-Consumer Characteristics<br />

-Product/Service Characteristics<br />

-Different Markets/<br />

Cultures/Countries<br />

-Perception <strong>of</strong> Risk<br />

-Past Experience<br />

- Web Vendor:<br />

1. experience<br />

2. Trust Worth<strong>in</strong>ess<br />

- Information System:<br />

1. Perceived Usefulness<br />

2.Perceived Ease <strong>of</strong> Use Tra<strong>in</strong><strong>in</strong>g<br />

- Third Party:<br />

1.Trusted Seal<br />

2.Experts<br />

3.Peers<br />

-Privacy Protection<br />

Communication<br />

Shared value<br />

Opportunistic Behaviour<br />

1- Disposition to trust:<br />

- Personality<br />

- background<br />

- experience<br />

2- Ability<br />

3- Benevolence<br />

4- Integrity<br />

Trust worth<strong>in</strong>ess <strong>of</strong> <strong>in</strong>ternet<br />

vendor:<br />

Perceived Security Control<br />

Perceived Privacy Control<br />

Perceived Integrity<br />

Perceived Competence<br />

External Environment:<br />

Third Party Recognition<br />

Legal Framework<br />

<strong>in</strong>ternal propensity to trust<br />

cultural environment<br />

experience<br />

JANURAY 2011<br />

VOL 2, NO 9<br />

Capability-based antecedent (Product Differentiation,<br />

Product Modification,Channel Support, After-sales<br />

Service) was used to develop trust between Japanese<br />

buyers and American sellers.<br />

The factors which affect onl<strong>in</strong>e trust have been<br />

<strong>in</strong>vestigated. Authors have argued that trust<br />

development methods should really result <strong>in</strong> the<br />

expansion <strong>of</strong> the customer‘s longer trust relations.<br />

Shared values affect trust the significantly most. Then,<br />

communication are <strong>in</strong>fluential. Opportunist behavior<br />

affects trust negatively.<br />

Customers trust will <strong>in</strong>crease with a view to all these<br />

dimensions and <strong>in</strong>dices <strong>in</strong> the customer transactions <strong>in</strong><br />

the virtual environment. This model can be applied<br />

not only to B2C but also to many k<strong>in</strong>ds <strong>of</strong><br />

relationships between partners.<br />

All cases have been approved, and f<strong>in</strong>ally led to<br />

customer trust development.<br />

12. Models Compared<br />

As it was said before, different models have been <strong>in</strong>troduced for study<strong>in</strong>g the relevant factors<br />

<strong>in</strong> customers‘ trust <strong>in</strong> e-bus<strong>in</strong>ess. Each <strong>of</strong> these models <strong>in</strong>cludes different structures. These etrust<br />

models <strong>in</strong> e-bus<strong>in</strong>ess overlap <strong>in</strong> some cases and <strong>in</strong>clude common structures. However,<br />

each <strong>of</strong> them has been <strong>in</strong>troduced by a different researcher, about a different research subject,<br />

and at a different time. In order to illustrate the ma<strong>in</strong> differences between the e-trust models <strong>in</strong><br />

e-bus<strong>in</strong>ess, there has been an attempt, <strong>in</strong> this study, to compare them based on the six<br />

dimensional e-trust model <strong>of</strong> Kim et al., (2005), which seems to be a comprehensive model.<br />

These dimensions are as follows:<br />

i. Customer‘s behavioral dimension;<br />

ii. Institutional dimension;<br />

iii. Information content dimension;<br />

iv. Product dimension;<br />

v. Transaction dimension; and<br />

vi. Technology dimension (Kim et al., 2005, p.148(.<br />

COPY RIGHT © 2011 Institute <strong>of</strong> <strong>Interdiscipl<strong>in</strong>ary</strong> Bus<strong>in</strong>ess <strong>Research</strong> 413

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