Advances in Research Methods for Information Systems Research Data Mining, Data Envelopment Analysis, Value Focused Thinking /
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 resear...
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| Other Authors: | , |
| Language: | English |
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New York, NY :
Springer US : Imprint: Springer,
2014.
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| Edition: | 1st ed. 2014. |
| Series: | Integrated Series in Information Systems,
34 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-1-4614-9463-8 |
Table of Contents:
- 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.