Analytics and data science : advances in research and pedagogy /: advances in research and pedagogy. ([2018])

• Record Type: Book
• Further Information: Note: Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, Mary C. Jones, editors.
• Editors: Deokar, Amit V; Gupta, Ashish, 1968-; Iyer, Lakshmi S; Jones, Mary C
• Contents: Exploring the analytics frontiers through research and pedagogy / Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, and Mary C. Jones -- Introduction: research and research-in-progress / Anna Sidorova, Babita Gupta, and Barbara Dinter -- Business intelligence capabilities / Thiagarajan Ramakrishnan, Jiban Khuntia, Abhishek Kathuria, and Terence J.V. Saldanha -- Big data capabilities: an organizational information processing perspective / Öykü Isik -- Business analytics capabilities and use: a value chain perspective / Torupallab Ghoshal, Rudolph T. Bedeley, Lakshmi S. Iyer, and Joyendu Bhadury -- Critical value factors in business intelligence systems implementations / Paul P. Dooley, Yair Levy, Raymond A. Hackney, and James L. Parrish -- Business intelligence system use in Chinese organizations / Yutong Song, David Arnott, and Shijia Gao -- The impact of customer reviews on product innovation: empirical evidence in mobile apps / Zhilei Qiao, G. Alan Wang, Mi Zhou, and Weiguo Fan -- Whispering on social media / Juheng Zhang -- Does social media reflect metropolitan attractiveness? behavioral information from Twitter activity in urban areas / Johannes Bendler, Tobias Brandt, and Dirk Neumann -- The competitive landscape of mobile communications industry in Canada: predictive analytic modeling with Google trends and Twitter / Michal Szczech and Ozgur Turetken -- Scale development using Twitter data: applying contemporary natural language processing methods in IS research / David Agogo and Traci J. Hess -- Information privacy on online social networks: illusion-in-progress in the age of big data? / Shwadhin Sharma and Babita Gupta -- Online information processing of scent-related words and implications for decision making / Meng-Hsien (Jenny) Lin, Samantha N.N. Cross, William Jones, and Terry L. Childers -- Say it right: IS prototype to enable evidence-based communication using big data / Simon Alfano, Nicolas Pröllochs, Stefan Feuerriegel, and Dirk Neumann -- Introduction: pedagogy in analytics and data science / Nicholas Evangelopoulos, Joseph W. Clark, and Sule Balkan -- Tools for academic business intelligence and analytics teaching: results of an evaluation / Christoph Kollwitz, Barbara Dinter, and Robert Krawatzeck -- Neural net tutorial / Brian R. Huguenard and Deborah J. Ballou -- An examination of ERP learning outcomes: a test mining approach / Mary M. Dunaway -- Data science for all: a university-wide course in data literacy / David Schuff.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Copyright Date: 2018
• Extent: 1 online resource, illustrations (some color)
• Subjects: 005.74; Business; Big data; Databases; Management science; Management information systems; Information Systems; COMPUTERS -- Databases -- General; Big data; Databases; Business & Economics -- Industries -- Computer Industry; Business & Economics -- Information Management; Business mathematics & systems; Information architecture; Computers -- Enterprise Applications -- Business Intelligence Tools; Electronic books
• Languages: English
• ISBNs: 3319580973; 9783319580975
• Related ISBNs: 9783319580968
• Notes: Note: Includes bibliographical references.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.