Advances in Research Methods for Information Systems Research

Data Mining, Data Envelopment Analysis, Value Focused Thinking

  • Kweku-Muata Osei-Bryson
  • Ojelanki Ngwenyama

Part of the Integrated Series in Information Systems book series (ISIS, volume 34)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Kweku-Muata Osei-Bryson, Ojelanki Ngwenyama
    Pages 1-5
  3. Ojelanki Ngwenyama
    Pages 7-13
  4. Kweku-Muata Osei-Bryson
    Pages 15-22
  5. Kweku-Muata Osei-Bryson, Ojelanki Ngwenyama
    Pages 23-43
  6. Francis Kofi Andoh-Baidoo, Kwasi Amoako-Gyampah, Kweku-Muata Osei-Bryson
    Pages 45-61
  7. Yan Li, Manoj Thomas, Kweku-Muata Osei-Bryson
    Pages 79-91
  8. Kweku-Muata Osei-Bryson
    Pages 93-107
  9. Kweku-Muata Osei-Bryson, Sergey Samoilenko
    Pages 127-138
  10. Sergey Samoilenko
    Pages 139-150
  11. Sergey Samoilenko, Kweku-Muata Osei-Bryson
    Pages 165-181
  12. Corlane Barclay, Kweku-Muata Osei-Bryson
    Pages 197-221
  13. Back Matter
    Pages 223-231

About this book

Introduction

Advances in social science research methodologies and data analytic methods are changing the way research in information systems is conducted. New developments in statistical software technologies for data mining (DM) such as regression splines or decision tree induction can be used to assist researchers in systematic post-positivist theory testing and development. Established management science techniques like data envelopment analysis (DEA), and value focused thinking (VFT) can be used in combination with traditional statistical analysis and data mining techniques to more effectively explore behavioral questions in information systems research. As adoption and use of these research methods expand, there is growing need for a resource book to assist doctoral students and advanced researchers in understanding their potential to contribute to a broad range of research problems.

Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking focuses on bridging and unifying these three different methodologies in order to bring them together in a unified volume for the information systems community. This book serves as a resource that provides overviews on each method, as well as applications on how they can be employed to address IS research problems. Its goal is to help researchers in their continuous efforts to set the pace for having an appropriate interplay between behavioral research and design science.

Keywords

Cluster Analysis Data Envelopment Analysis Data Mining Information Systems Multivariate Adaptive Regression Splines Value Focused Thinking

Editors and affiliations

  • Kweku-Muata Osei-Bryson
    • 1
  • Ojelanki Ngwenyama
    • 2
  1. 1.Department of Information SystemsVirginia Commonwealth UniversityRichmondUSA
  2. 2.Department of Information SystemsRyerson UniversityTorontoCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-9463-8
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, Boston, MA
  • eBook Packages Business and Economics
  • Print ISBN 978-1-4614-9462-1
  • Online ISBN 978-1-4614-9463-8
  • Series Print ISSN 1571-0270
  • Series Online ISSN 2197-7968
  • About this book