Analytics And Data Science: Advances In Research And Pedagogy (annals Of Information Systems)

This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, spread, develop and utilize analytics applications for practice. Selected chapters provide a good balance between discussing research advances and pedagogical tools in key topic areas in analytics and data science in a systematic manner. This book also focuses on several business applications of these emerging technologies in decision making, i.e., business analytics. The chapters in __Analytics and Data Science: Advances in Research and Pedagogy__ are written by leading academics and practitioners that participated at the Business Analytics Congress 2015. Applications of analytics and data science technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requires examination of the impact of these technologies and applications on business and society. As organizations in various sectors formulate their IT strategies and investments, it is imperative to understand how various analytics and data science approaches contribute to the improvements in organizational information processing and decision making. Recent advances in computational capacities coupled by improvements in areas such as data warehousing, big data, analytics, semantics, predictive and descriptive analytics, visualization, and real-time analytics have particularly strong implications on the growth of analytics and data science. Front Matter ....Pages i-viii Exploring the Analytics Frontiers Through Research and Pedagogy (Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, Mary C. Jones)....Pages 1-5 Introduction: Research and Research-in-Progress (Anna Sidorova, Babita Gupta, Barbara Dinter)....Pages 7-13 Business Intelligence Capabilities (Thiagarajan Ramakrishnan, Jiban Khuntia, Abhishek Kathuria, Terence J. V. Saldanha)....Pages 15-27 Big Data Capabilities: An Organizational Information Processing Perspective (Öykü Isik)....Pages 29-40 Business Analytics Capabilities and Use: A Value Chain Perspective (Torupallab Ghoshal, Rudolph T. Bedeley, Lakshmi S. Iyer, Joyendu Bhadury)....Pages 41-54 Critical Value Factors in Business Intelligence Systems Implementations (Paul P. Dooley, Yair Levy, Raymond A. Hackney, James L. Parrish)....Pages 55-78 Business Intelligence System Use in Chinese Organizations (Yutong Song, David Arnott, Shijia Gao)....Pages 79-94 The Impact of Customer Reviews on Product Innovation: Empirical Evidence in Mobile Apps (Zhilei Qiao, G. Alan Wang, Mi Zhou, Weiguo Fan)....Pages 95-110 Whispering on Social Media (Juheng Zhang)....Pages 111-118 Does Social Media Reflect Metropolitan Attractiveness? Behavioral Information from Twitter Activity in Urban Areas (Johannes Bendler, Tobias Brandt, Dirk Neumann)....Pages 119-142 The Competitive Landscape of Mobile Communications Industry in Canada: Predictive Analytic Modeling with Google Trends and Twitter (Michal Szczech, Ozgur Turetken)....Pages 143-162 Scale Development Using Twitter Data: Applying Contemporary Natural Language Processing Methods in IS Research (David Agogo, Traci J. Hess)....Pages 163-178 Information Privacy on Online Social Networks: Illusion-in-Progress in the Age of Big Data? (Shwadhin Sharma, Babita Gupta)....Pages 179-196 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)....Pages 197-216 Say It Right: IS Prototype to Enable Evidence-Based Communication Using Big Data (Simon Alfano, Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann)....Pages 217-221 Introduction: Pedagogy in Analytics and Data Science (Nicholas Evangelopoulos, Joseph W. Clark, Sule Balkan)....Pages 223-226 Tools for Academic Business Intelligence and Analytics Teaching: Results of an Evaluation (Christoph Kollwitz, Barbara Dinter, Robert Krawatzeck)....Pages 227-250 Neural Net Tutorial (Brian R. Huguenard, Deborah J. Ballou)....Pages 251-263 An Examination of ERP Learning Outcomes: A Text Mining Approach (Mary M. Dunaway)....Pages 265-279 Data Science for All: A University-Wide Course in Data Literacy (David Schuff)....Pages 281-297 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 ÖyküIsik 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 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 ÖyküIsik 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