Development of Foolproof Solutions for Information Systems Using Best-Worth Method
Mistake proofing is an approach whose main purpose is to make mistakes impossible. This technique can eliminate the possibility of errors by making changes in the process, or by appropriate culture, or by preventing them from making a mistake by sending the appropriate message. Using new tools or te...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
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Allameh Tabataba'i University Press
2021-09-01
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| Series: | مطالعات مدیریت کسب و کار هوشمند |
| Subjects: | |
| Online Access: | https://ims.atu.ac.ir/article_12140_b6c4eccd07ad3a56f2b77428a05b879d.pdf |
| Summary: | Mistake proofing is an approach whose main purpose is to make mistakes impossible. This technique can eliminate the possibility of errors by making changes in the process, or by appropriate culture, or by preventing them from making a mistake by sending the appropriate message. Using new tools or technologies to improve the quality expected of the customer. The use of the miscalculation will dramatically increase customer loyalty. Although it has been decades in the making, it has a limited track record in services as well as in information technology and especially in information systems. In this study, based on previous research, the main dimensions of the error-solving strategies are categorized. Then, using the questionnaire, the experts' opinions on prioritization of nonlinearity strategies are discussed. We also select the final criteria based on the nominal batch technique and then prioritize the factors that play an important role in making the information systems unreliable based on the best-worst or BWM weighting method. The results showed that proper planning of quality management programs, skilled staff, advanced facilities and equipment, design capability and finally the use of appropriate controllers as the most important factors of information systems malfunction can be considered as the top priority of service managers. Also, providing appropriate assumptions for information items and improved data model structures can reinforce technological and innovative approaches to information systems. |
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| ISSN: | 2821-0964 2821-0816 |