Hybrid decision model for information project selection
| Autor: | Rong-Hwa Huang, Chang-Lin Yang, Yu-An Lin, Sue-Jane Chiang |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Statistics and Probability
Program evaluation Sustainable development Knowledge management Process management Computer science business.industry Project selection General Social Sciences Business goals Information system business Decision model Selection (genetic algorithm) Project management triangle |
| Zdroj: | Quality & Quantity. 47:2129-2142 |
| ISSN: | 1573-7845 0033-5177 |
| DOI: | 10.1007/s11135-011-9646-3 |
| Popis: | Information project selection is an important and recurring activity in many organizations. Establishing a systematic project selection model thus is important for organizations. However, information system project selection is made difficult by the need to consider numerous quantitative and qualitative factors, such as business goals, benefits, project risks and limitations in available resources. This study proposes a hybrid measurement model for evaluating the overall effects of information projects. The selection model generates critical, quantitative and qualitative indicators to help managers realize the advantages/disadvantages of operational conditions. This hybrid selection model not only accelerates project evaluation and selection, but also helps organizations optimize project selection and thus achieve sustainable development. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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