Analytics and Data Science: Advances in Research and Pedagogy

Chapter 1. Exploring the Analytics Frontiers through Research and Pedagogy.- Amit V. Deokar, Ashish Gupta, Lakshmi Iyer, and Mary C. Jones.- Chapter 2. Introduction: Research and Research-in-Progress.- Anna Sidorova, Babita Gupta, and Barbara Dinter.- Chapter 3. Business Intelligence Capabilities.- Thiagarajan Ramakrishnan, Jiban Khuntia, Terence Saldanha, and Abhishek Kathuria.- Chapter 4. Big Data Capabilities: An Organizational Information Processing Perspective.- Öykü Isik.- Chapter 5. Business Analytics Capabilities and Use: A Value Chain Perspective.- Rudolph T. Bedeley, Torupallab Ghoshal, Lakshmi S. Iyer, and Joyendu Bhadury.- Chapter 6. Critical Value Factors in Business Intelligence Systems Implementations.- Paul P. Dooley, Yair Levy, Raymond A. Hackney, and James L. Parrish.- Chapter 7. Business Intelligence Systems Use in Chinese Organizations.- Yutong Song, David Arnott, and Shijia Gao.- Chapter 8. The Impact of Customer Reviews on Product Innovation: Empirical Evidence in Mobile Apps.- Zhilei Qiao, G. Alan Wang, Mi Zhou, and Weiguo Fan.- Chapter 9. Whispering on Social Media.- Juheng Zhang.- Chapter 10. Does Social Media Reflect Metropolitan Attractiveness? Behavioral Information from Twitter Activity in Urban Areas.- Johannes Bendler, Tobias Brandt, and Dirk Neumann.- Chapter 11. The Competitive Landscape of Mobile Communications Industry in Canada - Predictive Analytic Modeling with Google Trends and Twitter.- Michal Szczech and Ozgur Turetken.- Chapter 12. Scale Development Using Twitter Data: Applying Contemporary Natural Language Processing Methods in IS Research.- David Agogo and Traci J. Hess.- Chapter 13. Information Privacy on Online Social Networks: Illusion-in-Progress in the Age of Big Data?.- Shwadhin Sharma and Babita Gupta.- Chapter 14. Online Information Processing of Scent-Related Words and Implications for Decision Making.- Meng-Hsien (Jenny) Lin, Samantha N.N. Cross, William J. Jones, and Terry L. Childers.- Chapter 15. Say It Right: IS Prototype to Enable Evidence-Based Communication Using Big Data.- Simon Alfano.- Chapter 16. Introduction: Pedagogy in Analytics and Data Science.- Nicholas Evangelopoulos, Joseph W. Clark, and Sule Balkan.- Chapter 17. Tools for Academic Business Intelligence & Analytics Teaching - Results of an Evaluation.- Christoph Kollwitz, Barbara Dinter, and Robert Krawatzeck.- Chapter 18. Neural Net Tutorial.- Brian R. Huguenard, and Deborah J. Ballou.- Chapter 19. An Examination of ERP Learning Outcomes: A Text Mining Approach.- Mary M. Dunaway.- Chapter 20. Data Science for All: A University-Wide Course in Data Literacy.- David Schuff.