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Advances in Research Methods for Information Systems Research: Data Mining, Data Envelopment Analysis, Value Focused Thinking
Kategorie
Beschreibung
036a
XD-US
037b
eng
077a
399478701 Druckausg.: ‡Advances in research methods for information systems research
087q
978-1-4614-9462-1
100
Osei-Bryson, Kweku-Muata
104b
Ngwenyama, Ojelanki ¬[Hrsg.]¬
331
Advances in Research Methods for Information Systems Research
335
Data Mining, Data Envelopment Analysis, Value Focused Thinking
410
Boston, MA ; s.l.
412
Springer US
425
2014
425a
2014
433
Online-Ressource (VII, 231 p. 52 illus., 30 illus. in color, online resource)
451
Integrated Series in Information Systems ; 34
501
Description based upon print version of record
517
IntroductionLogical 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.
527
Druckausg.: ‡Advances in research methods for information systems research
540a
ISBN 978-1-4614-9463-8
700
|UF
700
|COM039000
700
|KJQ
700
|BUS083000
700b
|025.04072
700b
|658.05
700b
|650
700c
|HF54.5-54.56
700g
1272555585 ST 530
750
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.
753
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.
902s
209188235 Informationssystem
902s
212347217 Data Mining
907s
212347217 Data Mining
907s
209556331 Datenanalyse
012
398203253
081
Osei-Bryson, Kweku-Muata: Advances in Research Methods for Information Systems Research
100
Springer E-Book
125a
Elektronischer Volltext - Campuslizenz
655e
$uhttp://dx.doi.org/10.1007/978-1-4614-9463-8
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