Christian Scheiner

University of Lubeck

Ratzeburger Allee 160

Lübeck, DE 23562

Germany

  • University of Lubeck

SCHOLARLY PAPERS

3

DOWNLOADS

364

SSRN CITATIONS

1

CROSSREF CITATIONS

7

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

Entwicklung und Gestaltung der Werbekommunikation im Automobilmarkt: Eine Inhaltsanalyse der Werbeanzeigen von Mercedes-Benz (Development and Composition of Marketing Communication Activities in the Automotive Industry: A Content Analysis of Print Advertisements of Mercedes-Benz)

Proceedings International Marketing Trends Conference 2015
Number of pages: 16 Posted: 24 Apr 2015
Timm Wagner, Oxana Kleinöder, Christian Baccarella, Christian Scheiner and Kai-Ingo Voigt
Friedrich-Alexander-Universität Erlangen-Nuremberg (FAU), Independent, University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg, University of Lubeck and University of Erlangen-Nuremberg
Downloads 273 (205,509)

Abstract:

Loading...

Content Analysis, High-tech, Marketing, Communication, Automotive, Mercedes

2.

The Motivational Fabric of Gamified Idea Competitions: The Evaluation of Game Mechanics from a Longitudinal Perspective

Creativity and Innovation Management, Vol. 24 No. 2, Forthcoming.
Number of pages: 14 Posted: 27 Mar 2015 Last Revised: 09 Jun 2015
Christian Scheiner
University of Lubeck
Downloads 55 (675,679)

Abstract:

Loading...

gamification, innovation

3.

Hold the Line! The Challenge of Being a Premium Brand in the Social Media Era

Lecture Notes in Computer Science, Vol. 9742, pp. 461-471
Number of pages: 8 Posted: 13 Jul 2016
Timm Wagner, Christian Baccarella, Christian Scheiner and Kai-Ingo Voigt
Friedrich-Alexander-Universität Erlangen-Nuremberg (FAU), University of Erlangen-Nuremberg-Friedrich Alexander Universität Erlangen Nürnberg, University of Lubeck and University of Erlangen-Nuremberg
Downloads 36 (809,214)

Abstract:

Loading...

Premium brands, Social media, Social networking sites, Brand posts, Automotive, Appeals, Communication strategy, Content analysis