at Google ScholarTitle data
Baier, Daniel:
New Approaches for Brand Confusion Analysis Based on Ad Similarities.
2017
Event: Conference of the International Federation of Classification Societies (IFCS2017)
, August 8-10, 2017
, Tokyo, Japan.
(Conference item: Conference
,
Speech
)
Further data
| Item Type: | Conference item (Speech) |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XIV - Marketing and Innovation > Chair Business Administration XIV - Marketing and Innovation - Univ.-Prof. Dr. Daniel Baier Faculties Faculties > Faculty of Law, Business and Economics Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XIV - Marketing and Innovation |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 300 Social sciences > 330 Economics |
| Date Deposited: | 07 Mar 2019 07:35 |
| Last Modified: | 07 Mar 2019 08:12 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/47866 |