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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