Handbook of Research on Organizational Transformations through Big Data Analytics

Handbook of Research on Organizational Transformations through Big Data Analytics

Madjid Tavana (La Salle University, USA) and Kartikeya Puranam (La Salle University, USA)
Indexed In: SCOPUS View 1 More Indices
Release Date: November, 2014|Copyright: © 2015 |Pages: 529
ISBN13: 9781466672727|ISBN10: 1466672722|EISBN13: 9781466672734|DOI: 10.4018/978-1-4666-7272-7

Description

Big data analytics utilizes a wide range of software and analytical tools to provide immediate, relevant information for efficient decision-making. Companies are recognizing the immense potential of BDA, but ensuring the data is appropriate and error-free is the largest hurdle in implementing BDA applications.

The Handbook of Research on Organizational Transformations through Big Data Analytics not only catalogues the existing platforms and technologies, it explores new trends within the field of big data analytics (BDA). Containing new and existing research materials and insights on the various approaches to BDA, this publication is intended for researchers, IT professionals, and CIOs interested in the best ways to implement BDA applications and technologies.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Agile Business Intelligence
  • Big data applications
  • Big Data Management
  • Business Analytics
  • Data Analysis
  • Decision Support Systems
  • Enterprise Reporting

Reviews and Testimonials

This collection consists of 24 articles on how organizations can use big data analytics to make decisions. Researchers working in business, management, engineering, and other fields in North America, Europe, the Middle East, and Asia discuss modeling tools and methods for predictive analytics, opinion mining to predict rises and falls in the stock price index, the use of a modified stacking ensemble machine learning algorithm using genetic algorithms, prescriptive simulation, and more.

– ProtoView Book Abstracts (formerly Book News, Inc.)

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Madjid Tavana is Professor and Lindback Distinguished Chair of Business Analytics at La Salle University, where he serves as Chairman of the Business Systems and Analytics Department. He also holds an Honorary Professorship in Business Information Systems at the University of Paderborn in Germany. Dr. Tavana is Distinguished Research Fellow at the Kennedy Space Center, the Johnson Space Center, the Naval Research Laboratory at Stennis Space Center, and the Air Force Research Laboratory. He was recently honored with the prestigious Space Act Award by NASA. He holds an MBA, PMIS, and PhD in Management Information Systems and received his Post-Doctoral Diploma in Strategic Information Systems from the Wharton School at the University of Pennsylvania. He has published 11 books and over 200 research papers in international scholarly academic journals. He is the Editor-in-Chief of Decision Analytics, International Journal of Applied Decision Sciences, International Journal of Management and Decision Making, International Journal of Knowledge Engineering and Data Mining, International Journal of Strategic Decision Sciences, and International Journal of Enterprise Information Systems.
Kartikeya Puranam is an Assistant Professor of Business Systems and Analytics at La Salle University. He received his PhD in Supply Chain Management from Rutgers Business School. He received his Master’s and bachelor’s degrees in Mechanical Engineering from the Indian Institute of Technology in Bombay. His research interests include bidding strategies in auctions, learning in sequential auctions, inventory management, marketing and operations interface, Markov chains and Markov decision processes, and supply chain management. He has published in Operations Research Letters and European Journal of Operational Research.

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