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Eine Zillion Ads — Individuell für jeden Nutzer

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Literaturverzeichnis

  • Balseiro, S./Besbes, O./Weintraub, G. Y. (2013): Auctions for Online Display Advertising Exchanges: Approximations and Design, NET Institute Working Paper No. 12-11; Columbia Business School Research Paper No. 12/55. Available at SSRN: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2149319 or http://dx.doi. org/10.2139/ssrn.2149319

  • Breaking Travel News (2013): Bad weather Is good news for holiday companies, http://www.bit.ly/Xg1S9C, letzter Abruf: 28.11.2013.

    Google Scholar 

  • Chakraborty, T. et al. (2010): Selective Call Out and Real Time Bidding, in: ar- Xiv:1002:3102 [cs.GT]

  • Choi, H. (2013): Taking Full Advantage of the Online Shopping Behavior, Available at SSRN: http://ssrn.com/abstract=2197473 or http://dx.doi.org/10.2139/ ssrn.2197473

    Google Scholar 

  • Friese, M./Hofmann, W./Wänke, M. (2009): The Impulsive Consumer: Predicting Consumer Behavior with Implicit Reaction Time Measures, in: Wänke, M. (Hrsg.): Social Psychology of Consumer Behavior, Taylor & Francis, New York, pp. 335-364.

    Google Scholar 

  • Ghose, A./Goldfarb, A./Han S. P. (2013): How Is the Mobile Internet Different? Search Costs and Local Activities, in: Information Systems Research, 24, 3.

  • Guardian (2013): Eight online video advertising trends to watch out for, http://www.bit.ly/16HihDK, letzter Abruf: 28.11.2013.

  • Lambrecht, A./Tucker C. (2013): When Does Retargeting Work? Information Specificity in Online Advertising, in: Journal of Marketing Research, 50, 5, pp. 561-576

    Article  Google Scholar 

  • Loechner, J. (2013): No More Patience With Irrelevant Ads, MediaPost Blogs, http://www.bit.ly/14XsfOr , letzter Abruf: 28.11.2013

    Google Scholar 

  • Noller, S. (2010): Kein Capping ohne Boosting — Kontaktklassenoptimierung durch Frequency Targeting, Adzine, http://www.bit.ly/1bFWpzd, letzter Abruf: 28.11.2013. On Windows (2012), Increase in online shopping on devices, http://www.bit.ly/JMa2ys, letzter Abruf: 28.11.2013.

    Google Scholar 

  • Punj, G. (2011): Effect of Consumer Beliefs on Online Purchase Behavior: The Influence of Demographic Characteristics and Consumption Values, in: Journal of Interactive Marketing, 25, 3, pp. 134-144.

    Article  Google Scholar 

  • Siwicki, B. (2013): Online shopping becomes increasingly mobile, http://www.bit.ly/14pwbty, letzter Abruf: 28.11.2013.

    Google Scholar 

  • Takahashi, D. (2013): IBM researcher can decipher your personality from looking at 200 of your tweets, Venture Beat, http://www.bit.ly/16PHD7T, letzter Abruf: 28.11.2013.

    Google Scholar 

  • Walton, M. (2012): What happens with online shopping when it rains? Linking online shopping to weather and exploring drivers of noise in sales data, http://www.bit.ly/ PZyPg5, letzter Abruf: 28.11.2013.

    Google Scholar 

  • Yuan, S./Wang, Y./Zhao, X. (2013): Real-time Bidding for Online Advertising: Measurement and Analysis, in: ADKDD, 13 Proceedings of the Seventh International Workshop on Data Mining for Online Advertising, 3

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Correspondence to Bora Günaydin.

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Günaydin, B., Wernery, J. & Bananii, O. Eine Zillion Ads — Individuell für jeden Nutzer. Mark Rev St. Gallen 31, 46–55 (2014). https://doi.org/10.1365/s11621-014-0320-8

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  • DOI: https://doi.org/10.1365/s11621-014-0320-8