Productivity and information technology: the elusive connection
Management Science
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Variable Consistency Model of Dominance-Based Rough Sets Approach
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Creating business value with information technology
Information Systems Research
Does IT Matter? Information Technology and the Corrosion of Competitive Advantage
Does IT Matter? Information Technology and the Corrosion of Competitive Advantage
Executives' perceptions of the business value of information technology: a process-oriented approach
Journal of Management Information Systems - Special issue: Impacts of information technology investment on organizational performance
Statistical Model for Rough Set Approach to Multicriteria Classification
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Augmenting productivity analysis with data mining: An application on IT business value
Expert Systems with Applications: An International Journal
A novel decision rules approach for customer relationship management of the airline market
Expert Systems with Applications: An International Journal
Dominance-based rough set approach for decision analysis: a tutorial
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Rough set approach to customer satisfaction analysis
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Dominance-based rough set approach to decision involving multiple decision makers
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Topological characterizations of covering for special covering-based upper approximation operators
Information Sciences: an International Journal
Hi-index | 12.05 |
The impact of information technology (IT) on the business value of a cooperation has been an active research area for more than two decades. Although it is widely agreed that IT has a positive impact on the business values of cooperations an in-depth understanding of the underlying structures is still missing. Especially due to the huge investments in IT, there is still a need to better understand how IT influences the performance of cooperations and business values. Generally, the data collected in IT business value research to be quantitative as well as of qualitative nature. While quantitative data can be examined by classic econometric methods the analysis of qualitative data requires special methods. In the case of ordinal data DRSA - Dominance based Rough Sets Approach has been proposed. DRSA can be applied to induce rules out of a decision table containing ordinal data. This method has already successfully applied to such diverse areas like customer relationship management and satisfaction analysis, or the technical diagnostic of a fleet of vehicles besides others. In this article we apply it for the first time to the analysis of IT business value. We use ordinal data of a survey on IT management strategies of Australian firms conducted by the Australian Department of Communications, Information Technology and the Arts. The induces rules are interpreted and provide important insights into the impact of information technology on the business values of cooperations. Furthermore our study shows the potential of DRSA for information systems research where questionnaire are a widely applied technique to collect ordinal data.