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Deokar, Amit V.

Analytics and Data Science

Deokar, Amit V. - Analytics and Data Science, e-kirja

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ISBN: 9783319580975
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Table of contents

1. Exploring the Analytics Frontiers Through Research and Pedagogy
Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, Mary C. Jones

2. Introduction: Research and Research-in-Progress
Anna Sidorova, Babita Gupta, Barbara Dinter

3. Business Intelligence Capabilities
Thiagarajan Ramakrishnan, Jiban Khuntia, Abhishek Kathuria, Terence J. V. Saldanha

4. Big Data Capabilities: An Organizational Information Processing Perspective
Öykü Isik

5. Business Analytics Capabilities and Use: A Value Chain Perspective
Torupallab Ghoshal, Rudolph T. Bedeley, Lakshmi S. Iyer, Joyendu Bhadury

6. Critical Value Factors in Business Intelligence Systems Implementations
Paul P. Dooley, Yair Levy, Raymond A. Hackney, James L. Parrish

7. Business Intelligence System Use in Chinese Organizations
Yutong Song, David Arnott, Shijia Gao

8. The Impact of Customer Reviews on Product Innovation: Empirical Evidence in Mobile Apps
Zhilei Qiao, G. Alan Wang, Mi Zhou, Weiguo Fan

9. Whispering on Social Media
Juheng Zhang

10. Does Social Media Reflect Metropolitan Attractiveness? Behavioral Information from Twitter Activity in Urban Areas
Johannes Bendler, Tobias Brandt, Dirk Neumann

11. The Competitive Landscape of Mobile Communications Industry in Canada: Predictive Analytic Modeling with Google Trends and Twitter
Michal Szczech, Ozgur Turetken

12. Scale Development Using Twitter Data: Applying Contemporary Natural Language Processing Methods in IS Research
David Agogo, Traci J. Hess

13. Information Privacy on Online Social Networks: Illusion-in-Progress in the Age of Big Data?
Shwadhin Sharma, Babita Gupta

14. Online Information Processing of Scent-Related Words and Implications for Decision Making
Meng-Hsien (Jenny) Lin, Samantha N. N. Cross, William Jones, Terry L. Childers

15. Say It Right: IS Prototype to Enable Evidence-Based Communication Using Big Data
Simon Alfano, Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann

16. Introduction: Pedagogy in Analytics and Data Science
Nicholas Evangelopoulos, Joseph W. Clark, Sule Balkan

17. Tools for Academic Business Intelligence and Analytics Teaching: Results of an Evaluation
Christoph Kollwitz, Barbara Dinter, Robert Krawatzeck

18. Neural Net Tutorial
Brian R. Huguenard, Deborah J. Ballou

19. An Examination of ERP Learning Outcomes: A Text Mining Approach
Mary M. Dunaway

20. Data Science for All: A University-Wide Course in Data Literacy
David Schuff

Avainsanat: Business and Management, Business Information Systems, Big Data/Analytics, Management of Computing and Information Systems

Toimittaja
 
 
 
Julkaisija
Springer
Julkaisuvuosi
2018
Kieli
en
Painos
1
Sarja
Annals of Information Systems
Sivumäärä
8 sivua
Kategoria
Talous
Tiedostomuoto
E-kirja
eISBN (PDF)
9783319580975
Painetun ISBN
978-3-319-58096-8

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