By Radosław Nielek, Dariusz Parzych, Damian Sepczuk, Adam Wierzbicki, Jakub Wysoczanski (auth.), Jonna Järveläinen, Hongxiu Li, Anne-Marie Tuikka, Tiina Kuusela (eds.)
ISBN-10: 3642398073
ISBN-13: 9783642398070
ISBN-10: 3642398081
ISBN-13: 9783642398087
This booklet constitutes the refereed court cases of the fifteenth foreign convention on digital trade, ICEC 2013, held in Turku, Finland, in August 2013. The subject matter of ICEC 2013 was once "effective, agile, and relied on e-services co-creation” and displays the alignment among automatic, formalized company approaches with the necessity to flexibly adapt and innovate companies instant in line with altering consumer wishes and requirements.
The thirteen papers released during this publication have been rigorously reviewed and chosen from greater than 50 submissions, leading to an popularity fee of below 25%. they're equipped in topical sections on on-line ads and referential platforms, recommender platforms and pricing, social media, cellular providers, enterprise types, and societal implications.
Read Online or Download Co-created Effective, Agile, and Trusted eServices: 15th International Conference on Electronic Commerce, ICEC 2013, Turku, Finland, August 13-15, 2013. Proceedings PDF
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Additional resources for Co-created Effective, Agile, and Trusted eServices: 15th International Conference on Electronic Commerce, ICEC 2013, Turku, Finland, August 13-15, 2013. Proceedings
Sample text
As empirical evidence overall supports decreasing costs per click [10, 20], the hypothesis is formulated as follows. Hypothesis 2: The higher the position of the search engine advertisement, the greater the cost per click. The quality of consumer traffic, measured by the conversion rate, has been neglected in the majority of empirical studies on search engine advertising. These studies generally assume a constant conversion rate across consumers [6, 22]. Few empirical investigations have so far addressed the effect of advertising ranking on the quality of consumer traffic.
Information Retrieval 14, 315–336 (2011) 8. : Modeling the audience’s banner ad exposure for internet advertising planning. Journal of Advertising 35(2), 123–136 (2006) 9. : Behavioural Targeting in On-Line Advertising: An Empirical Study. S. ) WISE 2008. LNCS, vol. 5175, pp. 62–76. Springer, Heidelberg (2008) 10. : Individualized, Real-Time, Interactive E-commerce Auction, United States Patent No: 6,606,607 (2003) Ranking for the Top: A Misconception of Search Engine Advertisers Carsten D. Schultz University of Hagen, Chair of Marketing Prof.
After the impression of the ad, searchers may click on the advertisement and subsequently choose whether to transact with the advertiser. As a function of the advertisement position, the revenue after advertising r for the advertiser is calculated as follows. r ( pos ) = I ⋅ ctr ( pos ) ⋅ cr ( pos ) ⋅ p − I ⋅ ctr ( pos ) ⋅ c ( pos ) . (1) Potential transactions are upper bound by the number of advertisement impressions I, that are restricted by either the search frequency or the advertising budget.
Co-created Effective, Agile, and Trusted eServices: 15th International Conference on Electronic Commerce, ICEC 2013, Turku, Finland, August 13-15, 2013. Proceedings by Radosław Nielek, Dariusz Parzych, Damian Sepczuk, Adam Wierzbicki, Jakub Wysoczanski (auth.), Jonna Järveläinen, Hongxiu Li, Anne-Marie Tuikka, Tiina Kuusela (eds.)
by Ronald
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