{"product_id":"9783319580968","title":"Analytics and Data Science : Advances in Research and Pedagogy (Annals of Information Systems) \u003cVol. 21\u003e","description":"\u003cp\u003eThis 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 \u003ci\u003eAnalytics and Data Science: Advances in Research and Pedagogy\u003c\/i\u003e are written by leading academics and practitioners that participated at the Business Analytics Congress 2015.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eApplications of analytics and data science technologies in various domains are still evolving. For instance, the explosive growth in big data and social media analytics requiresexamination 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1. Exploring the Analytics Frontiers through Research and Pedagogy.- \u003c\/b\u003eAmit V. Deokar, Ashish Gupta, Lakshmi Iyer, and Mary C. Jones.- \u003cb\u003eChapter 2. Introduction: Research and Research-in-Progress.- \u003c\/b\u003eAnna Sidorova, Babita Gupta, and Barbara Dinter.- \u003cb\u003eChapter 3. Business Intelligence Capabilities.- \u003c\/b\u003eThiagarajan Ramakrishnan, Jiban Khuntia, Terence Saldanha, and Abhishek Kathuria.- \u003cb\u003eChapter 4. Big Data Capabilities: An Organizational Information Processing Perspective.- \u003c\/b\u003eÖykü Isik.- \u003cb\u003eChapter 5. Business Analytics Capabilities and Use: A Value Chain Perspective.- \u003c\/b\u003eRudolph T. Bedeley, Torupallab Ghoshal, Lakshmi S. Iyer, and Joyendu Bhadury.- \u003cb\u003eChapter 6. Critical Value Factors in Business Intelligence Systems Implementations.- \u003c\/b\u003ePaul P. Dooley, Yair Levy, Raymond A. Hackney, and James L. Parrish.- \u003cb\u003eChapter 7. Business Intelligence Systems Use in Chinese Organizations.- \u003c\/b\u003eYutong Song, David Arnott, and Shijia Gao.- \u003cb\u003eChapter 8. The Impact of Customer Reviews on Product Innovation: Empirical Evidence in Mobile Apps.- \u003c\/b\u003eZhilei Qiao, G. Alan Wang, Mi Zhou, and Weiguo Fan.- \u003cb\u003eChapter 9. Whispering on Social Media.- \u003c\/b\u003eJuheng Zhang.- \u003cb\u003eChapter 10. Does Social Media Reflect Metropolitan Attractiveness? Behavioral Information from Twitter Activity in Urban Areas.- \u003c\/b\u003eJohannes Bendler, Tobias Brandt, and Dirk Neumann.- \u003cb\u003eChapter 11. The Competitive Landscape of Mobile Communications Industry in Canada - Predictive Analytic Modeling with Google Trends and Twitter.- \u003c\/b\u003eMichal Szczech and Ozgur Turetken.- \u003cb\u003eChapter 12. Scale Development Using Twitter Data: Applying Contemporary Natural Language Processing Methods in IS Research.- \u003c\/b\u003eDavid Agogo and Traci J. Hess.- \u003cb\u003eChapter 13. Information Privacy on Online Social Networks: Illusion-in-Progress in the Age of Big Data?.- \u003c\/b\u003eShwadhin Sharma and Babita Gupta.- \u003cb\u003eChapter 14. Online Information Processing of Scent-Related Words and Implications for Decision Making.- \u003c\/b\u003eMeng-Hsien(Jenny) Lin, Samantha N.N. Cross, William J. Jones, and Terry L. Childers.- \u003cb\u003eChapter 15. Say It Right: IS Prototype to Enable Evidence-Based Communication Using Big Data.- \u003c\/b\u003eSimon Alfano.- \u003cb\u003eChapter 16. Introduction: Pedagogy in Analytics and Data Science.- \u003c\/b\u003eNicholas Evangelopoulos, Joseph W. Clark, and Sule Balkan.- \u003cb\u003eChapter 17. Tools for Academic Business Intelligence \u0026amp; Analytics Teaching - Results of an Evaluation.- \u003c\/b\u003eChristoph Kollwitz, Barbara Dinter, and Robert Krawatzeck.- \u003cb\u003eChapter 18. Neural Net Tutorial.- \u003c\/b\u003eBrian R. Huguenard, and Deborah J. Ballou.- \u003cb\u003eChapter 19. An Examination of ERP Learning Outcomes: A Text Mining Approach.- \u003c\/b\u003eMary M. Dunaway.- \u003cb\u003eChapter 20. Data Science for All: A University-Wide Course in Data Literacy.- \u003c\/b\u003eDavid Schuff.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAmit V. Deokar\u003c\/b\u003e\u003ci\u003e \u003c\/i\u003eis 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 \u003ci\u003eJournal of Management Information Systems\u003c\/i\u003e, \u003ci\u003eDecision Support Systems\u003c\/i\u003e (\u003ci\u003eDSS\u003c\/i\u003e), \u003ci\u003eThe DATA BASE for Advances in Information Systems\u003c\/i\u003e, \u003ci\u003eInformation Systems Frontiers\u003c\/i\u003e, \u003ci\u003eBusiness Process Management Journal\u003c\/i\u003e (\u003ci\u003eBPMJ\u003c\/i\u003e) and \u003ci\u003eIEEE Transactions\u003c\/i\u003e. He is currently a member of the editorial board of DSS and BPMJ journals. He has been serving as the \u003ci\u003eDecision Support and Analytics\u003c\/i\u003e 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 (\u003ci\u003eSIGDSA\u003c\/i\u003e). He was recognized with the 2014 IBM Faculty Award for his research and teaching in the areas of analytics and big data.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAshish Gupta\u003c\/b\u003e 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 \u0026amp; 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 \u003ci\u003eMIT Sloan Management Review\u003c\/i\u003e, \u003ci\u003eJournal of Biomedical Informatics\u003c\/i\u003e, \u003ci\u003eIEEE Transactions\u003c\/i\u003e, \u003ci\u003eInformation Systems Journal\u003c\/i\u003e, \u003ci\u003eEuropean Journal of Information Systems\u003c\/i\u003e, \u003ci\u003eDecision Support Systems\u003c\/i\u003e, \u003ci\u003eInformation Systems Frontiers\u003c\/i\u003e, and \u003ci\u003eCommunications of the Association for Information Systems\u003c\/i\u003e. His research has been funded by several agencies and private enterprises. He has published 4 edited books.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLakshmi Iyer \u003c\/b\u003eis 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 \u0026amp; its impact on organizations and users, and social inclusion in computing. Herresearch work has been published in or forthcoming in \u003ci\u003eCommunications of the AIS\u003c\/i\u003e, \u003ci\u003eJournal of Association for Information Systems\u003c\/i\u003e, \u003ci\u003eEuropean Journal of Information Systems\u003c\/i\u003e, \u003ci\u003eCommunications of the ACM\u003c\/i\u003e, \u003ci\u003eDecision Support Systems\u003c\/i\u003e, \u003ci\u003eeService Journal\u003c\/i\u003e, \u003ci\u003eJournal of Electronic Commerce Research\u003c\/i\u003e, \u003ci\u003eInternational Journal of Business Intelligence Research\u003c\/i\u003e, \u003ci\u003eInformation Systems Management\u003c\/i\u003e, \u003ci\u003eJournal of Global Information Technology and Management\u003c\/i\u003e, and others. She is a Board member of Teradata University Network, recent past-chair of the Special Interest Group in Decision Support and Analytics (\u003ci\u003eSIGDSA\u003c\/i\u003e, formerly \u003ci\u003eSIGDSS\u003c\/i\u003e). She has served as a Guest Editor for \u003ci\u003eCommunications of the ACM\u003c\/i\u003e, and the \u003ci\u003eJournal of Electronic Commerce Research\u003c\/i\u003e. She is also co-editor of \u003ci\u003eAnnals of Information Systems\u003c\/i\u003e Special Issue on \"Reshaping Society through Analytics, Collaboration, and Decision Support: Role of BI and Social Media,\" fro\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":48805805064427,"sku":"00000_00000_00000_00000","price":238.03,"currency_code":"SGD","in_stock":true}],"url":"https:\/\/kinokuniya.com.sg\/zh\/products\/9783319580968","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}