Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/1147
Title: | Online Art Buying Decision Support: A Multivariate Approach |
Authors: | Koutsoupias, Nikos |
Type: | Conference Paper |
Subjects: | FRASCATI::Social sciences |
Keywords: | art sales e-business ranking ranking data multiple correspondence analysis decision support |
Issue Date: | 2018 |
Publisher: | Εργαστήριο Διεθνών Σχέσεων και Ευρωπαϊκής Ολοκλήρωσης του Πανεπιστημίου Μακεδονίας |
Source: | Proceedings if the ICIB2017-18 Conference |
First Page: | 164 |
Last Page: | 169 |
Volume Title: | Proceedings of the International Conference of International Business |
Abstract: | We introduce a new perspective in visualizing rankings of online sales platforms created as a decision support tool on behalf of international fine art buyers and collectors. By means of Multiple Correspondence Analysis, a descriptive statistics multivariate data analysis method, groups of top-ranked online sellers are extracted and mapped taking into consideration all available ranking variables: Visits Movement, Purchases, Buyer and Visitor Experience. This research enables prospective online art buyers to take evidence-based decisions derived from multivariate ranking data originating from internet seller platform surveys. |
URI: | https://zenodo.org/record/2576124#.YqxGUHZBxPY https://ruomo.lib.uom.gr/handle/7000/1147 |
Electronic ISBN: | 978-618-5255-12-1 |
ISSN: | 2241-5645 |
Other Identifiers: | 10.5281/zenodo.2576124 |
Appears in Collections: | Department of International and European Studies |
This item is licensed under a Creative Commons License