heal.abstract
This dissertation was written as part of the MSc in e-Business and Digital Marketing at
the International Hellenic University, aiming to study the effectiveness of automatic
recommendations in e-shop webpages from the point of view of the consumers. The
recommendation system is one of the most used techniques in e-shops to improve
customers’ experience on the one hand and to increase their conversion rate, and
encourage upselling on the other hand. While visitors are searching/browsing for
specific items/products, an automatic recommendation engine displays
recommendations of more products, proposed either as alternatives or opportunities
for matching buys.
My dissertation started with a literature review regarding recommendation systems
and their functionality and continued with primary research on how those systems are
indeed perceived by consumers/customers. Throughout this procedure, I tried to
answer three research questions:
(a) How successful in providing well-chosen recommendations those systems are.
(b) How efficient in motivating more buys they are.
(c) Are they accepted as useful or irritating?
In order to conduct my research, I focused on one specific website, the Zara. After
analyzing findings from my primary research, I conducted a statistical analysis and
came up with specific patterns of users’ online behavior when they interact with such
systems.
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