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dc.contributor.author
Chatzinikolaou, Theodora
en
dc.date.accessioned
2021-09-23T11:38:22Z
dc.date.available
2021-09-23T11:38:22Z
dc.date.issued
2021-09-23
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/29883
dc.rights
Default License
dc.subject
E-shop
en
dc.subject
Recommendation system
en
dc.title
Study of the effectiveness of e-shop recommendation systems
en
heal.type
masterThesis
en_US
heal.dateAvailable
2021-07-06
heal.language
en
en_US
heal.access
free
en_US
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Science and Technology, MSc in e-Business and Digital Marketing
en_US
heal.publicationDate
2021-07-06
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.
en
heal.advisorName
Stalides, George
en
heal.committeeMemberName
Baltatzis, Dimitris
en
heal.committeeMemberName
Drakaki, Maria
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
en_US


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