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020 _a9781461494638
_9978-1-4614-9463-8
024 7 _a10.1007/978-1-4614-9463-8
_2doi
050 4 _aHF54.5-54.56
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072 7 _aUF
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072 7 _aBUS083000
_2bisacsh
072 7 _aCOM039000
_2bisacsh
082 0 4 _a650
_223
100 1 _aOsei-Bryson, Kweku-Muata.
_eeditor.
245 1 0 _aAdvances in Research Methods for Information Systems Research
_h[electronic resource] :
_bData Mining, Data Envelopment Analysis, Value Focused Thinking /
_cedited by Kweku-Muata Osei-Bryson, Ojelanki Ngwenyama.
260 1 _aBoston, MA :
_bSpringer US :
_bImprint: Springer,
_c2014.
300 _aVII, 231 p. 52 illus., 30 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntegrated Series in Information Systems,
_x1571-0270 ;
_v34
505 0 _aIntroduction -- 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.
520 _aAdvances 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.
650 0 _aEconomics.
650 0 _aInformation systems.
650 0 _aData mining.
650 0 _aManagement information systems.
650 1 4 _aEconomics/Management Science.
650 2 4 _aBusiness Information Systems.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aInformation Systems and Communication Service.
700 1 _aNgwenyama, Ojelanki.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461494621
830 0 _aIntegrated Series in Information Systems,
_x1571-0270 ;
_v34
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-9463-8
912 _aZDB-2-SBE
942 _2ddc
_cEBOOK
999 _c2879
_d2879