© 2018

Analytics and Data Science

Advances in Research and Pedagogy

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

Part of the Annals of Information Systems book series (AOIS)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, Mary C. Jones
    Pages 1-5
  3. Anna Sidorova, Babita Gupta, Barbara Dinter
    Pages 7-13
  4. Thiagarajan Ramakrishnan, Jiban Khuntia, Abhishek Kathuria, Terence J. V. Saldanha
    Pages 15-27
  5. Torupallab Ghoshal, Rudolph T. Bedeley, Lakshmi S. Iyer, Joyendu Bhadury
    Pages 41-54
  6. Paul P. Dooley, Yair Levy, Raymond A. Hackney, James L. Parrish
    Pages 55-78
  7. Yutong Song, David Arnott, Shijia Gao
    Pages 79-94
  8. Zhilei Qiao, G. Alan Wang, Mi Zhou, Weiguo Fan
    Pages 95-110
  9. Juheng Zhang
    Pages 111-118
  10. Meng-Hsien (Jenny) Lin, Samantha N. N. Cross, William Jones, Terry L. Childers
    Pages 197-216
  11. Simon Alfano, Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann
    Pages 217-221
  12. Nicholas Evangelopoulos, Joseph W. Clark, Sule Balkan
    Pages 223-226
  13. Christoph Kollwitz, Barbara Dinter, Robert Krawatzeck
    Pages 227-250
  14. Brian R. Huguenard, Deborah J. Ballou
    Pages 251-263

About this book


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


Chapter 5. Business Analytics Capabilities and Use: A Value Chain Perspective

Rudolph T. Bedeley, TorupallabGhoshal, Lakshmi S. Iyer, and JoyenduBhadury 

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 ShijiaGao 

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 OzgurTuretken 

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


Analytics and Data Science (A&DS) Analytics Data Science Supply Chain Analytics Data Mining Data Management Big Data Business Analytics

Editors and affiliations

  • Amit V. Deokar
    • 1
  • Ashish Gupta
    • 2
  • Lakshmi S. Iyer
    • 3
  • Mary C. Jones
    • 4
  1. 1.Robert J. Manning School of BusinessUniversity of Massachusetts LowellLowellUSA
  2. 2.Raymond J. Harbert College of BusinessAuburn UniversityAuburnUSA
  3. 3.Walker College of BusinessAppalachian State UniversityBooneUSA
  4. 4.College of BusinessUniversity of North TexasDentonUSA

About the editors

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 informatics, sports analytics, organizational and individual performance. His recent articles have appeared in journals such as MIT Sloan Management Review, Journal of Biomedical Informatics, IEEE Transactions, Information Systems Journal, European Journal of Information Systems, Decision Support Systems, Information Systems Frontiers, and Communications of the Association for Information Systems. His research has been funded by several agencies and private enterprises. He has published 4 edited books.

Lakshmi Iyer is Professor and Director of the Master’s in Applied Data Analytics Graduate Programs at the Walker College of Business, Appalachian State University. Her research interests are in the area of business analytics, knowledge management, emerging technologies & its impact on organizations and users, and social inclusion in computing. Her research work has been published in or forthcoming in Communications of the AIS, Journal of Association for Information Systems, European Journal of Information Systems, Communications of the ACM, Decision Support Systems, eService Journal, Journal of Electronic Commerce Research, International Journal of Business Intelligence Research, Information Systems Management, Journal of Global Information Technology and Management, and others. She is a Board member of Teradata University Network, recent past-chair of the Special Interest Group in Decision Support and Analytics (SIGDSA, formerly SIGDSS). She has served as a Guest Editor for Communications of the ACM, and the Journal of Electronic Commerce Research. She is also co-editor of Annals of Information Systems Special Issue on “Reshaping Society through Analytics, Collaboration, and Decision Support: Role of BI and Social Media,” from the 2013 pre-ICIS workshop in Milan, Italy.

Mary C. Jones is Professor of information systems and Chair of the Information Technology and Decision Sciences Department at the University of North Texas. She received her doctorate from the University of Oklahoma in 1990. Her work appears in numerous journals including MIS Quarterly, European Journal of Information Systems, Behavioral Science, Decision Support Systems, System Dynamics Review, and Information and Management. Her research interests are primarily in the impact on organizations of large scale, organizational spanning information systems such as ERP or business intelligence systems. She teaches a variety of courses including Enterprise Applications of Business Intelligence, IT Project Management, and a doctoral seminar in General Systems Theory.

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