caa a22 4500 606229051 CHVBK 20210128101207.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s10796-013-9469-y doi (NATIONALLICENCE)springer-10.1007/s10796-013-9469-y Osei-Bryson Kweku-Muata Department of Information Systems, Virginia Commonwealth University, 23284, Richmond, VA, USA aut A hybrid decision support framework for generating & selecting causal explanatory regression splines models for information systems research [Elektronische Daten] [Kweku-Muata Osei-Bryson] Much of Information Systems research is of the behavioral science category that involves the analysis of quantitative data. Typically a confirmatory approach is taken where only unconditional hypotheses are specified based on existing theory and evaluated using techniques such as regression analysis. In this paper we present a knowledge discovery via data mining (KDDM) process model based multi-criteria framework for selecting the most appropriate causal explanatory model based on the researchers subjective preferences including accuracy, simplicity, the relative importance of variables in his/her tentative research model, relative preferences for inclusion of some causal relationships. Springer Science+Business Media New York, 2013 Regression splines nationallicence Explanatory model nationallicence Causal model nationallicence KDDM process model nationallicence Exploratory data analysis nationallicence Multi-criteria decision analysis nationallicence MCDM nationallicence Decision support system nationallicence Information Systems Frontiers Springer US; http://www.springer-ny.com 17/4(2015-08-01), 845-856 1387-3326 17:4<845 2015 17 10796 https://doi.org/10.1007/s10796-013-9469-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10796-013-9469-y text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Osei-Bryson Kweku-Muata Department of Information Systems, Virginia Commonwealth University, 23284, Richmond, VA, USA aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/4(2015-08-01), 845-856 1387-3326 17:4<845 2015 17 10796