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Title Advances in research methods for information systems research : data mining, data envelopment analysis, value focused thinking / Osei-Bryson, Kweku-Muata, Ojelanki Ngwenyama, editors.
Imprint New York : Springer, [2014]
2014

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Series Integrated series in information systems, 2197-7968 ; v. 34
Integrated series in information systems ; 34.
Subject Computer science -- Mathematics.
Electronic data processing -- Research -- Data processing.
Management information systems -- Research.
Alt Name Ngwenyama, Ojelanki,
Osei-Bryson, Kweku-Muata,
Description 1 online resource (229 pages) : illustrations.
polychrome rdacc
Bibliography Note Includes bibliographical references and index.
Contents Introduction / Kweku-Muata Osei-Bryson and Ojelanki Ngwenyama -- Logical Foundations of Social Science Research / Ojelanki Ngwenyama -- Overview on Decision Tree Induction / Kweku-Muata Osei-Bryson -- An Approach for Using Data Mining to Support Theory Development / Kweku-Muata Osei-Bryson and Ojelanki Ngwenyama -- Application of a Hybrid Induction-Based Approach for Exploring Cumulative Abnormal Returns / Francis Kofi Andoh-Baidoo, Kwasi Amoako-Gyampah and Kweku-Muata Osei-Bryson -- Ethnographic Decision Tree Modelling: An Exploration of Telecentre Usage in the Human Development Context / Arlene Bailey and Ojelanki Ngwenyama -- Using Association Rules Mining to Facilitate Qualitative Data Analysis in Theory Building / Yan Li, Manoj Thomas and Kweku-Muata Osei-Bryson -- Overview on Multivariate Adaptive Regression Splines / Kweku-Muata Osei-Bryson -- Reexamining the Impact of Information Technology Investments on Productivity Using Regression Tree- and MARS-Based Analyses / Myung Ko and Kweku-Muata Osei-Bryson -- Overview on Cluster Analysis / Kweku-Muata Osei-Bryson and Sergey Samoilenko -- Overview on Data Envelopment Analysis / Sergey Samoilenko -- ICT Infrastructure Expansion in Sub-Saharan Africa: An Analysis of Six West African Countries from 1995 to 2002 / Felix Bollou -- A Hybrid DEA-/DM-Based DSS for Productivity-Driven Environments / Sergey Samoilenko and Kweku-Muata Osei-Bryson -- Overview of the Value-Focused Thinking Methodology / Corlane Barclay -- A Hybrid VFT-GQM Method for Developing Performance Criteria and Measures / Corlane Barclay and Kweku-Muata Osei-Bryson.
Introduction -- Logical Foundations of Social Science Research -- Overview on Decision Tree Induction -- Using Decision Tree Induction for Theory Development -- A Hybrid Decision Tree-based Method for Exploring Cumulative Abnormal Returns -- An Ethnographic Decision Tree Modeling: An Exploration of Telecentre Usage in the Human Development Context -- Using Association Rules Mining to Facilitate Qualitative Data Analysis in Theory Building -- Overview on Multivariate Adaptive Regression Splines -- Reexamining the Impact of Information Technology Investment on Productivity Using Regression Tree and MARS -- Overview on Cluster Analysis -- Overview on Data Envelopment Analysis -- Exploring the ICT Utilization using Data Envelopment Analysis -- A DEA-centric Decision Support System for Monitoring Efficiency-Based Performance -- Overview on the Value Focused Thinking Methodology -- Using Value Focused Thinking to Develop Performance Criteria & Measures for Information Systems Projects.
Summary 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.
Note Online resource; title from PDF title page (ebrary, viewed December 30, 2013).
ISBN 9781461494638 (electronic bk.)
146149463X (electronic bk.)
1461494621
9781461494621
9781461494621
ISBN/ISSN 10.1007/978-1-4614-9463-8
OCLC # 868921112
Additional Format Print version: Osei-Bryson, Kweku-Muata. Advances in Research Methods for Information Systems Research : Data Mining, Data Envelopment Analysis, Value Focused Thinking. Dordrecht : Springer, 2013 9781461494621


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