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Shaping the Future of ICT Research. Methods and Approaches

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Cover of 'Shaping the Future of ICT Research. Methods and Approaches'

Table of Contents

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    Book Overview
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    Chapter 1 Resolving Name Conflicts for Mobile Apps in Twitter Posts
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    Chapter 2 Using Adjective Features from User Reviews to Generate Higher Quality and Explainable Recommendations
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    Chapter 3 Product Semantics in Design Research Practice
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    Chapter 4 Action Design Ethnographic Research (ADER): Vested Interest Networks and ICT Networks in Service Delivery of Land Records in Bangladesh
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    Chapter 5 Grounded Analytic Research: Building Theory from a Body of Research
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    Chapter 6 Using Photo-Diary Interviews to Study Cyborgian Identity Performance in Virtual Worlds
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    Chapter 7 Living in a Sociomaterial World
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    Chapter 8 Co-materialization: Digital Innovation Dynamics in the Offshore Petroleum Industry
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    Chapter 9 Mutability and Becoming : Materializing of Public Sector Adoption of Open Source Software
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    Chapter 10 Moderating Effect of Environmental Factors on eHealth Development and Health Outcomes: A Country-Level Analysis
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    Chapter 11 Social Networks and Communication Media for Generating Creative Ideas
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    Chapter 12 Cultural Challenges in Information Systems Innovation: The Need for Differentiation Studies
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    Chapter 13 Digital Artifacts as Institutional Attractors: A Systems Biology Perspective on Change in Organizational Routines
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    Chapter 14 Amazon Mechanical Turk: A Research Tool for Organizations and Information Systems Scholars
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    Chapter 15 Customization of Product Software: Insight from an Extensive IS Literature Review
Attention for Chapter 2: Using Adjective Features from User Reviews to Generate Higher Quality and Explainable Recommendations
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Chapter title
Using Adjective Features from User Reviews to Generate Higher Quality and Explainable Recommendations
Chapter number 2
Book title
Shaping the Future of ICT Research. Methods and Approaches
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-35142-6_2
Book ISBNs
978-3-64-235141-9, 978-3-64-235142-6
Authors

Xiaoying Xu, Anindya Datta, Kaushik Dutta

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Lecturer > Senior Lecturer 1 11%
Student > Doctoral Student 1 11%
Professor 1 11%
Student > Bachelor 1 11%
Other 2 22%
Readers by discipline Count As %
Computer Science 6 67%
Business, Management and Accounting 2 22%
Engineering 1 11%