High-quality Web information provisioning and quality-based data pricing

Today, information can be considered a production factor. This is attributed to the technological innovations the Internet and the Web have brought about. Now, a plethora of information is available making it hard to find the most relevant information. Subsequently, the issue of finding and purchasi...

Author: Stahl, Florian
Further contributors: Vossen, Gottfried (Thesis advisor)
Division/Institute:FB 04: Wirtschaftswissenschaftliche Fakultät
Document types:Doctoral thesis
Media types:Text
Publication date:2016
Date of publication on miami:01.03.2016
Modification date:11.05.2016
Series:Wissenschaftliche Schriften der WWU Münster / Reihe IV, Bd. 9
Publisher: Monsenstein und Vannerdat
Edition statement:[Electronic ed.]
Subjects:Information Provisioning; Digital Curation; Web in Your Pocket; Data Quality; Data Marketplaces; Data Pricing; Multiple-Choice Knapsack
DDC Subject:330: Wirtschaft
License:CC BY-NC-SA 3.0 DE
Language:English
Notes:Auch im Buchhandel erhältlich: High-quality Web information provisioning and quality-based data pricing / Florian Stahl. – Münster : Monsenstein und Vannerdat, 2016. – XIII, 296 S. (Wissenschaftliche Schriften der WWU Münster : Reihe IV ; Bd. 9), ISBN 978-3-8405-0133-3, Preis: 20,10 EUR
Format:PDF document
ISBN:978-3-8405-0133-3
URN:urn:nbn:de:hbz:6-67249643318
Permalink:https://nbn-resolving.de/urn:nbn:de:hbz:6-67249643318
Digital documents:diss_stahl_buchblock.pdf

Today, information can be considered a production factor. This is attributed to the technological innovations the Internet and the Web have brought about. Now, a plethora of information is available making it hard to find the most relevant information. Subsequently, the issue of finding and purchasing high-quality data arises. Addressing these challenges, this work first examines how high-quality information provisioning can be achieved with an approach called WiPo that exploits the idea of curation, i. e., the selection, organisation, and provisioning of information with human involvement. The second part of this work investigates the issue that there is little understanding of what the value of data is and how it can be priced – despite the fact that it is already being traded on data marketplaces. To overcome this, a pricing approach based on the Multiple-Choice Knapsack Problem is proposed that allows for utility maximisation for customers and profit maximisation for vendors.