Analytics and Data Science

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.-

Amit V. Deokar is an Assistant Professor of Management Information Systems in the Robert J. Manning School of Business at the University of Massachusetts Lowell. Dr. Deokar received his PhD in Management Information Systems from the University of Arizona. He also earned a MS in Industrial Engineering from the University of Arizona and a BE in Mechanical Engineering from VJTI, University of Mumbai. His research interests include data analytics, enterprise data management, business intelligence, business process management, and collaboration processes. His work has been published in journals such as Journal of Management Information Systems, Decision Support Systems (DSS), The DATA BASE for Advances in Information Systems, Information Systems Frontiers, Business Process Management Journal (BPMJ) and IEEE Transactions. He is currently a member of the editorial board of DSS and BPMJ journals. He has been serving as the Decision Support and Analytics Track Chair at the international AMCIS 2014-17 conferences, and is currently the Chair-Elect of the AIS Special Interest Group on Decision Support and Analytics (SIGDSA). He was recognized with the 2014 IBM Faculty Award for his research and teaching in the areas of analytics and big data.

Ashish Gupta is an Associate Professor of Analytics in Raymond J. Harbert College of Business at the Auburn University. Prior to this, he served as the (founding) director of Analytics Research Center and an Associate Professor of Analytics & IS in the College of Business at the University of Tennessee Chattanooga. He has been a Visiting Research Scientist at the Mayo Clinic Rochester, Visiting Associate Professor in Biomedical Informatics at the Arizona State University and research affiliate with University of Tennessee Health Science Center in Memphis. He has a PhD in MSIS from Spears School of Business at Oklahoma State University. Dr. Gupta's research interests are in the areas of data analytics, healthcare