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Analytics and Data Science

Overview of attention for book
Cover of 'Analytics and Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Exploring the Analytics Frontiers Through Research and Pedagogy
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    Chapter 2 Introduction: Research and Research-in-Progress
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    Chapter 3 Business Intelligence Capabilities
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    Chapter 4 Big Data Capabilities: An Organizational Information Processing Perspective
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    Chapter 5 Business Analytics Capabilities and Use: A Value Chain Perspective
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    Chapter 6 Critical Value Factors in Business Intelligence Systems Implementations
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    Chapter 7 Business Intelligence System Use in Chinese Organizations
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    Chapter 8 The Impact of Customer Reviews on Product Innovation: Empirical Evidence in Mobile Apps
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    Chapter 9 Whispering on Social Media
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    Chapter 10 Does Social Media Reflect Metropolitan Attractiveness? Behavioral Information from Twitter Activity in Urban Areas
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    Chapter 11 The Competitive Landscape of Mobile Communications Industry in Canada: Predictive Analytic Modeling with Google Trends and Twitter
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    Chapter 12 Scale Development Using Twitter Data: Applying Contemporary Natural Language Processing Methods in IS Research
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    Chapter 13 Information Privacy on Online Social Networks: Illusion-in-Progress in the Age of Big Data?
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    Chapter 14 Online Information Processing of Scent-Related Words and Implications for Decision Making
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    Chapter 15 Say It Right: IS Prototype to Enable Evidence-Based Communication Using Big Data
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    Chapter 16 Introduction: Pedagogy in Analytics and Data Science
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    Chapter 17 Tools for Academic Business Intelligence and Analytics Teaching: Results of an Evaluation
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    Chapter 18 Neural Net Tutorial
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    Chapter 19 An Examination of ERP Learning Outcomes: A Text Mining Approach
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    Chapter 20 Data Science for All: A University-Wide Course in Data Literacy
Overall attention for this book and its chapters
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Mentioned by

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5 tweeters

Readers on

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44 Mendeley
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Title
Analytics and Data Science
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-58097-5
ISBNs
978-3-31-958096-8, 978-3-31-958097-5
Editors

Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, Mary C. Jones

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 14%
Professor 3 7%
Student > Ph. D. Student 3 7%
Student > Bachelor 2 5%
Researcher 2 5%
Other 4 9%
Unknown 24 55%
Readers by discipline Count As %
Computer Science 7 16%
Engineering 3 7%
Social Sciences 3 7%
Economics, Econometrics and Finance 2 5%
Decision Sciences 2 5%
Other 2 5%
Unknown 25 57%