A relevant method for evaluating information management systems in manufacturing
In the context of growing digitalization and the transition to domestic information management systems in manufacturing, it becomes critically important to develop adequate methods for evaluating their effectiveness. The relevance of this study is due to the need to create effective tools for the analysis and selection of information management systems that meet the specifics of the Russian market and the conditions of import substitution. The purpose of the study is to develop and justify a method for evaluating management information systems that take into account both quantitative and qualitative indicators. Methodologically, the study includes an analysis of existing valuation methods such as economic value added and total cost of ownership, identifying their shortcomings and developing a new method based on a weighted sum of criteria. The application of the proposed method has shown that it provides a more accurate and comprehensive assessment, taking into account technical characteristics and user satisfaction, which is critical for effective intra-company and strategic planning. The results confirm the hypothesis that the integration of quantitative and quantitative indicators, taking into account the importance coefficients, increases the reliability of the assessment of the information management system. Limitations include high resource requirements and the need to involve internal and external experts, which may limit practical applications. In the future, automation of the criteria normalization process and adaptation of the method to other industries are recommended.
Authors
- А.И. Саматова
- Vladimir Nikolaevich Kruglov (ORCID: https://orcid.org/0000-0003-1490-9832)
Publication Details
- Journal
- Vestnik of Samara University Economics and Management
- Published
- 2024-11-18
- DOI
- https://doi.org/10.18287/2542-0461-2024-15-3-164-179
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00