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  • © 2014

Advances in Research Methods for Information Systems Research

Data Mining, Data Envelopment Analysis, Value Focused Thinking

  • Focuses on applying the non-traditional information systems research techniques of data mining, data envelopment analysis and value focused thinking
  • The methodologies covered can be used on their own or in a hybrid manner with many of the traditional research methods, with examples included in the book on how to apply hybrid approaches
  • Both editors are experienced researchers in the fields

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

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-vii
  2. Introduction

    • Kweku-Muata Osei-Bryson, Ojelanki Ngwenyama
    Pages 1-5
  3. Logical Foundations of Social Science Research

    • Ojelanki Ngwenyama
    Pages 7-13
  4. Overview on Decision Tree Induction

    • Kweku-Muata Osei-Bryson
    Pages 15-22
  5. An Approach for Using Data Mining to Support Theory Development

    • Kweku-Muata Osei-Bryson, Ojelanki Ngwenyama
    Pages 23-43
  6. Application of a Hybrid Induction-Based Approach for Exploring Cumulative Abnormal Returns

    • Francis Kofi Andoh-Baidoo, Kwasi Amoako-Gyampah, Kweku-Muata Osei-Bryson
    Pages 45-61
  7. Using Association Rules Mining to Facilitate Qualitative Data Analysis in Theory Building

    • Yan Li, Manoj Thomas, Kweku-Muata Osei-Bryson
    Pages 79-91
  8. Overview on Multivariate Adaptive Regression Splines

    • Kweku-Muata Osei-Bryson
    Pages 93-107
  9. Overview on Cluster Analysis

    • Kweku-Muata Osei-Bryson, Sergey Samoilenko
    Pages 127-138
  10. Overview on Data Envelopment Analysis

    • Sergey Samoilenko
    Pages 139-150
  11. A Hybrid DEA-/DM-Based DSS for Productivity-Driven Environments

    • Sergey Samoilenko, Kweku-Muata Osei-Bryson
    Pages 165-181
  12. A Hybrid VFT-GQM Method for Developing Performance Criteria and Measures

    • Corlane Barclay, Kweku-Muata Osei-Bryson
    Pages 197-221
  13. Back Matter

    Pages 223-231

About this book

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.

Editors and Affiliations

  • Department of Information Systems, Virginia Commonwealth University, Richmond, USA

    Kweku-Muata Osei-Bryson

  • Department of Information Systems, Ryerson University, Toronto, Canada

    Ojelanki Ngwenyama

Bibliographic Information

  • Book Title: Advances in Research Methods for Information Systems Research

  • Book Subtitle: Data Mining, Data Envelopment Analysis, Value Focused Thinking

  • Editors: Kweku-Muata Osei-Bryson, Ojelanki Ngwenyama

  • Series Title: Integrated Series in Information Systems

  • DOI: https://doi.org/10.1007/978-1-4614-9463-8

  • Publisher: Springer New York, NY

  • eBook Packages: Business and Economics, Business and Management (R0)

  • Copyright Information: Springer Science+Business Media New York 2014

  • Hardcover ISBN: 978-1-4614-9462-1Published: 25 November 2013

  • Softcover ISBN: 978-1-4899-7833-2Published: 23 August 2016

  • eBook ISBN: 978-1-4614-9463-8Published: 25 November 2013

  • Series ISSN: 1571-0270

  • Series E-ISSN: 2197-7968

  • Edition Number: 1

  • Number of Pages: VII, 231

  • Number of Illustrations: 22 b/w illustrations, 30 illustrations in colour

  • Topics: IT in Business, Data Mining and Knowledge Discovery, Information Systems and Communication Service

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access