Analyzing social choice and group ranking of online games for product mix innovation
Author
Abstract
Suggested Citation
DOI: 10.1007/s10796-017-9769-8
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Chen, Yen-Liang & Cheng, Li-Chen, 2009. "Mining maximum consensus sequences from group ranking data," European Journal of Operational Research, Elsevier, vol. 198(1), pages 241-251, October.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Shih-Chia Huang & Suzanne McIntosh & Stanislav Sobolevsky & Patrick C. K. Hung, 2017. "Big Data Analytics and Business Intelligence in Industry," Information Systems Frontiers, Springer, vol. 19(6), pages 1229-1232, December.
- Irfan Kanat & T. S. Raghu & Ajay Vinzé, 2020. "Heads or Tails? Network Effects on Game Purchase Behavior in The Long Tail Market," Information Systems Frontiers, Springer, vol. 22(4), pages 803-814, August.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Li-Ching Ma, 2018. "Discovering Consensus Preferences Visually Based on Gower Plots," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 741-761, May.
- Cheng, Li-Chen & Chen, Yen-Liang & Chiang, Yu-Chia, 2016. "Identifying conflict patterns to reach a consensus – A novel group decision approach," European Journal of Operational Research, Elsevier, vol. 254(2), pages 622-631.
- Huang, Tony Cheng-Kui, 2013. "A novel group ranking model for revealing sequence and quantity knowledge," European Journal of Operational Research, Elsevier, vol. 231(3), pages 654-666.
- Ma, Li-Ching, 2016. "A new group ranking approach for ordinal preferences based on group maximum consensus sequences," European Journal of Operational Research, Elsevier, vol. 251(1), pages 171-181.
- Nakagawa, Yoshinori & Nasu, Seigo & Saito, Taiki & Yamaguchi, Nobuyoshi, 2010. "Analytic hierarchy based policy design method (AHPo) for solving societal problems that require a multifaceted approach," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1545-1553, December.
More about this item
Keywords
Group ranking; Social choice; Online game; Preference sequences; Game combination;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:19:y:2017:i:6:d:10.1007_s10796-017-9769-8. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.