06 Chapter2
06 Chapter2
06 Chapter2
REVIEW OF LITERATURE
CHAPTER - II
REVIEW OF LITERATURE
Vellido et al. (2000)2, pointed out in his research, that there are nine
factors associated with user’s perception of online shopping. Among those
factors the risk perception of users was demonstrated to be the main
discriminator between people buying online and people not buying online.
Other discriminating factors were control over, and convenience of, the
shopping process, affordability of merchandise, customer service and ease of
use of the shopping site.
Lohse et al. (2000)5, used panel data to explore the predictors of online
purchasing behavior. They found that the typical online consumers are
characterized by their wired lifestyle, and are time starved. Therefore, they
suggested providing customized information for the online shoppers who buy
standard or repeat items, which can lead to shoppers gaining a feeling of
increased convenience, and allow them to make quick purchase decisions.
Dr.Panicos Georgiades (2000)6, carried out in his study that there were
no differences found between males and females in all three occupational
groupings with regard to security and convenience. In particular respondents’
attitudes toward security were found to be in agreement in that “they did not
feel confident with the provision of information concerning their personal and
financial details and that technology backing the Internet is reliable”. This
suggests that companies can standardize their communications strategies
aiming at alleviating the fears of Internet users with regards to security
concerns.
Goldsmith and Bridges (2000)8, found that consumers who felt that it
was easy to buy over the web were more likely to buy, implying that
confidence leads to greater purchase likelihood. A positive relationship
between Internet experience/confidence and amount of shopping is thus
found in his study.
Sang Yong Kim and Young Jun Lim (2001)14, examine that the
relationship between consumers' perceived importance of and satisfaction
with Internet shopping. They find that the factors of entertainment,
convenience, reliability, information quality and speed are important for
choosing shopping sites and also find that the factors of entertainment, speed,
information quality, and reliability are related to consumers' satisfaction with
Internet shopping. Among the above factors, the results indicate that
'information quality' of the importance and 'reliability' of the satisfaction is
statistically significant for distinguishing buyers from non-buyers.
Lillian Clark and Peter Wright (2004)26, in their study reviewed the
research into the various issues that may differentiate online consumer
behaviour and whether they are able to produce the understanding needed to
construct behavioral models that can help realize the full potential of e-
commerce. The study concluded that a more comprehensive approach to
modeling online consumer behaviour is needed in order to coherently
describe the online consumer experience.
Nik Kamariah Nik Mat (2005)28, studied that the higher website trust will
create higher intention for online shopping. The study provides the consumers
do not trust the website during online shopping. Maybe another factors are
very important than trust like types of products. This result however is in
contradiction with the result depicted in other research which shows trust level
may affect consumers’ willingness to purchase and propensity to return to the
site.
May, Wong and Danny (2005)35, made an attempt to examine the web-
shopping behaviour by examining the following aspects such as identifying
the general attitude towards web-shopping, relationships between past web-
shopping experience, attitude towards web-shopping, adoption decisions,
search behaviour and web-shopping intentions and influences of promotional
offers on web-shopping intentions. A web-based questionnaire survey was
used to collect the data. It was found that web-shopping intentions directly
affects the web-search behaviour and web-shopping adoption decisions, and
indirectly affects web-shopping attitudes, past web-shopping experiences and
past experience with the web. Web-search behaviour was a stronger factor
than adoption decision in terms of influencing web-shopping intentions. The
presences of promotional offers have a positive effect on web-shopping
intentions, and web-shopping intentions were different for different product
categories. It was further found that experienced internet users and
experienced web-shoppers are more likely to be potential future web-
shoppers.
Ahasanul Haque (2006)44, mentioned that only two factors, gender and
family income has significant relationship with overall attitudes towards online
shopping. The results also indicated that weekly internet use, having
experience in e-shopping, and willingness to shopping online in the future
have significant relationship with overall attitude towards online shopping.
Moreover, results proved that there is significant difference between human
senses in online decision-making process and it is explored to customers who
experienced shopping a product or they were satisfied previously, which have
stronger confidence to do online shopping.
Ali.Khatibi and Hishamuddin (2006)45, conducted a study to examine
online and non-online shoppers purchase decision. The study indicated that
there is a significant difference between online shoppers and non-online
shoppers in gathering product information and comparing price of goods and
services before a purchase decision. Results also indicate that this group of
non-online shoppers constitutes more than 60% of the total number of online
consumers in Malaysia, implying a huge potential of online shopping to online
retailers. The study also indicates online consumers in Malaysia still lack
confidence and trust in utilizing the Internet as a shopping channel.
Erden Tulin (2007)49, in his research report helped the business owners
again, by posting some comprehensive status about online consumer
behaviour. For this purpose, the study has broken out the industry, into
particular field. The study revealed that 80% of internet users go online to find
health related information, 85% of Google users have made an online
purchase in the past six months, approximately 20 million people are
browsing new home listing each month and more than 70% of Google users
have shown some interest in a financial service product.
Syed Shah Alam & Zaharah Bakar (2008)51, have investigated in their
study the relationships between young consumers’ perceptions of the factors
that influence their intention to buy through online. The analytical results are
generally consistent with consumers’ perceptions of the customer service,
reliability and trust of online purchasing. Trust has received the most
consistent support as factors that influence online buying. Marketers need to
realize that the online marketing environment affects the way consumers view
and develop relationships.
Oliver B. Büttner and Anja S. Göritz (2008)52, indicated that trust has
been found to be crucial for consumer behaviour towards online shops. In a
web-based study, 634 participants interacted with a provider of medical goods
that is a simulated online pharmacy. The study develops and employs a
psychometrically sound scale for assessing perceived trustworthiness of
online shops. Results show that trustworthiness promotes both intention to
buy and actual financial risk taking. Perceived risk was not found to moderate
the relationship between trustworthiness and intention to buy. Instead of
trustworthiness partially mediated the influence of perceived risk on intention
to buy.
Dinesh, Amit, and Raghav Rao (2008)54, in their study compared online
store rating with other e-store loyalty factors. It was found that the number of
years on the web has the least impact on repurchase intention. This has
significant implications for managers of online stores because it suggests that
stores would attract more customers by having positive customer reviews.
The amount of time the store has been in business does not seem to affect
the repurchase intention of consumers. “Word of mouth” remains the most
powerful customer acquisition tool and impact on the trust that the customers
have.
Purva Bhathia and Surbhi Goel (2008)55, studied about the internet
users in Indian as on 2008. It was found that 49 million users have logged on
to internet in the year 2007-2008 and 70 percent of the internet users reside
outside metros. Internet penetration in urban India is at 12% in the year 2007
– 2008 compared to 9 percent in the year 2006-2007. Further, it was found
that urban netizen has increased from 30 million to 40 million in the year
2007-08 and 70 percent of users are between 19 – 35 years of age.