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Co-created Effective, Agile, and Trusted eServices : 15th International Conference on Electronic Commerce, ICEC 2013, Turku, Finland, August 13-15, 2013. Proceedings

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Cover of 'Co-created Effective, Agile, and Trusted eServices : 15th International Conference on Electronic Commerce, ICEC 2013, Turku, Finland, August 13-15, 2013. Proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 Forecasting Online Advertising Campaigns in the Wild
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    Chapter 2 Ranking for the Top: A Misconception of Search Engine Advertisers
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    Chapter 3 Measuring Supportiveness of the Internet and Mobile Platforms for Personalized Ad
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    Chapter 4 The Matthew Effect in Online Review Helpfulness
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    Chapter 5 Association Rules in Web Usage Logfile Data – Empirical Insights into the Use of User-Generated Web Site Features
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    Chapter 6 Leaving the Tier: An Examination of Asymmetry in Pricing Patterns in Online High Tech Shops
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    Chapter 7 Social Media Data Relevant for Measuring Key Performance Indicators? A Content Analysis Approach
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    Chapter 8 Understanding Individuals’ Switching of eService: An Empirical Study of Social Network Games Switching Intentions in China
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    Chapter 9 A Social Referral Mechanism on e-Marketplace
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    Chapter 10 Mobile Credit Payment – Innovation for Leadership in E-Commerce
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    Chapter 11 Fool’s Gold? Developer Dilemmas in a Closed Mobile Application Market Platform
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    Chapter 12 Collaborative Business Model Innovation Process for Networked Services
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    Chapter 13 Digital Inequality on Global Online Knowledge Exchange Platforms
Attention for Chapter 3: Measuring Supportiveness of the Internet and Mobile Platforms for Personalized Ad
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Citations

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Chapter title
Measuring Supportiveness of the Internet and Mobile Platforms for Personalized Ad
Chapter number 3
Book title
Co-created Effective, Agile, and Trusted eServices
Published by
Springer, Berlin, Heidelberg, August 2013
DOI 10.1007/978-3-642-39808-7_3
Book ISBNs
978-3-64-239807-0, 978-3-64-239808-7
Authors

Jun San Kim, Jae Kyu Lee, Kim, Jun San, Lee, Jae Kyu

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Business, Management and Accounting 1 33%

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