Handbook of Research on Organizational Transformations through Big Data Analytics, 1st Edition

  • Madjid Tavana
  • Published By: Business Science Reference
  • ISBN-10: 1466672730
  • ISBN-13: 9781466672734
  • DDC: 006.3
  • Grade Level Range: College Freshman - College Senior
  • 561 Pages | eBook
  • Original Copyright 2015 | Published/Released April 2016
  • This publication's content originally published in print form: 2015

  • Price:  Sign in for price

About

Overview

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.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Business Information Systems and Analytics (ABISA) Book Series.
Titles in this Series.
Editorial Advisory Board.
List of Reviewers.
List of Contributors.
Table of Contents.
Detailed Table of Contents.
Preface.
1: Business Analytics and Big Data: Driving Organizational Change.
2: Predictive Analytics.
3: Using Big Data Opinion Mining to Predict Rises and Falls in the Stock Price Index.
4: A Modified Stacking Ensemble Machine Learning Algorithm Using Genetic Algorithms.
5: Organizational Performance–Design Process: A Discrete–Events Simulation Approach.
6: Data, Information, and Knowledge: Developing an Intangible Assets Strategy.
7: Business Analytics for Business Analysts in Manufacturing.
8: Big Data Transforming Small and Medium Enterprises.
9: Nonprofit Fundraising Transformation through Analytics.
10: The Role of Business Analytics in Performance Management.
11: Evaluation of Information Awareness and Understanding through Different Internal Communication Tools.
12: Empirical Investigation on the Evolution of BI Maturity in Malaysian Organizations.
13: Cultural Integration with Strategic Decision-Making Process in Determining Innovation Performance: Evidence from an Arab Country Setting.
14: A Data Warehouse Integration Methodology in Support of Collaborating SMEs.
15: Business Intelligence, Knowledge Management, and Customer Relationship Management Technological Support in Enterprise Competitive Competence.
16: Process Improvements in Supply Chain Operations: Multi-Firm Case Studies.
17: Consumer Information Integration at Pre-Purchase: A Discrete Choice Experiment.
18: Using Data Mining Techniques and the Choice of Mode of Text Representation for Improving the Detection and Filtering of Spam.
19: Using Supervised Machine Learning to Explore Energy Consumption Data in Private Sector Housing.
20: Application of Data Mining Techniques on Library Circulation Data for Library Material Acquisition and Budget Allocation.
21: Some Aspects of Estimators for Variance of Normally Distributed Data.
22: An Exploration of Backpropagation Numerical Algorithms in Modeling US Exchange Rates.
23: Solving Solid Transportation Problems with Multi Choice Cost and Stochastic Supply and Demand.
24: Default Probability Prediction of Credit Applicants Using a New Fuzzy KNN Method with Optimal Weights.
Compilation of References.
About the Contributors.
Index.
Front Cover.
Title Page.
Copyright Page.
Advances in Business Information Systems and Analytics (ABISA) Book Series.
Titles in this Series.
Editorial Advisory Board.
List of Reviewers.
List of Contributors.
Table of Contents.
Detailed Table of Contents.
Preface.
1: Business Analytics and Big Data: Driving Organizational Change.
2: Predictive Analytics.
3: Using Big Data Opinion Mining to Predict Rises and Falls in the Stock Price Index.
4: A Modified Stacking Ensemble Machine Learning Algorithm Using Genetic Algorithms.
5: Organizational Performance–Design Process: A Discrete–Events Simulation Approach.
6: Data, Information, and Knowledge: Developing an Intangible Assets Strategy.
7: Business Analytics for Business Analysts in Manufacturing.
8: Big Data Transforming Small and Medium Enterprises.
9: Nonprofit Fundraising Transformation through Analytics.
10: The Role of Business Analytics in Performance Management.
11: Evaluation of Information Awareness and Understanding through Different Internal Communication Tools.
12: Empirical Investigation on the Evolution of BI Maturity in Malaysian Organizations.
13: Cultural Integration with Strategic Decision-Making Process in Determining Innovation Performance: Evidence from an Arab Country Setting.
14: A Data Warehouse Integration Methodology in Support of Collaborating SMEs.
15: Business Intelligence, Knowledge Management, and Customer Relationship Management Technological Support in Enterprise Competitive Competence.
16: Process Improvements in Supply Chain Operations: Multi-Firm Case Studies.
17: Consumer Information Integration at Pre-Purchase: A Discrete Choice Experiment.
18: Using Data Mining Techniques and the Choice of Mode of Text Representation for Improving the Detection and Filtering of Spam.
19: Using Supervised Machine Learning to Explore Energy Consumption Data in Private Sector Housing.
20: Application of Data Mining Techniques on Library Circulation Data for Library Material Acquisition and Budget Allocation.
21: Some Aspects of Estimators for Variance of Normally Distributed Data.
22: An Exploration of Backpropagation Numerical Algorithms in Modeling US Exchange Rates.
23: Solving Solid Transportation Problems with Multi Choice Cost and Stochastic Supply and Demand.
24: Default Probability Prediction of Credit Applicants Using a New Fuzzy KNN Method with Optimal Weights.
Compilation of References.
About the Contributors.
Index.