A hybrid GA-ant colony approach for exploring the relationship between IT and firm performance. (18th May 2009)

• Record Type: Journal Article
• Authors: Azadeh, A.; Keramati, A.; Panahi, H.
• Is Part Of: International journal of business information systems. Volume 4:Number 5(2009)
• Page Start: 542
• Page End: 563
• Publication Date: 2009-05-18
• Subjects: information technology -- firm performance -- cluster analysis -- ant colony optimisation -- ACO -- genetic algorithms -- GAs -- hybrid -- data clustering -- metaheurisitics; Information storage and retrieval systems -- Business -- Periodicals; Business -- Data processing -- Periodicals; Management information systems -- Periodicals; System design -- Periodicals; System analysis -- Periodicals; 651.8
• Languages: English
• ISSNs: 1746-0972

Abstract

Several studies were conducted during recent years on exploring the impact of Information Technology (IT) on the performance of the organisation. It is quite important to find a robust technique to identify the relationship between IT and organisational performance. A hybrid Genetic Algorithm (GA) Ant Colony Optimisation (ACO) approach is proposed for data clustering. This is because of the need for the application of metaheurisitic algorithms parallel to deterministic approaches. This study discusses and analyses data from 90 companies in a unique supply chain. The data includes 26 indices about IT and 11 indices about performance. The companies are classified with respect to the IT and performance indices (indicators). Then, IT clusters and performance clusters are mapped to one another and, consequently, the relationship between them is explored. In general, the result shows that there is a linear relationship between the IT status and performance of the companies, with few exceptions. This is the first study which integrates ant colony approach and GA for exploring the relationship between IT and firm performance.