Exploiting Heterogenous Web Data – A Systematic Approach on the Example of Nintendo Switch Games

Sandra Boric, Christine Strauss

Veröffentlichungen: Beitrag in BuchBeitrag in KonferenzbandPeer Reviewed

Abstract

This paper shows how heterogenous web data can be retrieved from global yet regionally tailored online platforms such as Amazon. A systematic data retrieval approach was applied to obtain data from regional Amazon and Nintendo websites. The data retrieval uses a 3x3 criteria setting: Three attributes (genre, age rating, player-count), three forms of analysis (distribution, reception, price), and three countries (Germany, U.S.A., Japan). A streamlined choice of Amazon-entries is suggested, and further criteria were set to allow comparisons between different regions. 196 Nintendo Switch games and 15 game genres were analysed. The results show which attributes accumulate the highest numbers of Amazon-ratings and rating scores in which country, and which genres have the highest Amazon- and Nintendo-prices. An uncovering of rating and pricing similarities and differences is of value to game research scholars and game developer studios and aids in a targeted catering to customers in different regions.

OriginalspracheEnglisch
TiteliiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence
ErscheinungsortNew York, NY
Herausgeber (Verlag)Association for Computing Machinery (ACM)
Seiten69-73
Seitenumfang5
ISBN (elektronisch)978-1-4503-9556-4
DOIs
PublikationsstatusVeröffentlicht - 2021
Veranstaltung23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 - Virtual, Online, Österreich
Dauer: 29 Nov. 20211 Dez. 2021

Publikationsreihe

ReiheACM International Conference Proceeding Series

Konferenz

Konferenz23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021
Land/GebietÖsterreich
OrtVirtual, Online
Zeitraum29/11/211/12/21

ÖFOS 2012

  • 502007 E-Commerce
  • 502019 Marketing
  • 502050 Wirtschaftsinformatik

Fingerprint

Untersuchen Sie die Forschungsthemen von „Exploiting Heterogenous Web Data – A Systematic Approach on the Example of Nintendo Switch Games“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitationsweisen