New Rule Base Business Success Prediction Model for Iranian IT Start-Ups
Hundreds of thousands of new businesses are created every year around the world, and it is estimated that about half a billion people worldwide are actively trying to start new businesses. Therefore, creating a new business is very important; because it creates new job opportunities, produces new te...
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| Format: | Article |
| Language: | fas |
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Allameh Tabataba'i University Press
2022-12-01
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| Series: | مطالعات مدیریت کسب و کار هوشمند |
| Subjects: | |
| Online Access: | https://ims.atu.ac.ir/article_15517_c4acf80451591c3a867b10ad5af57fc5.pdf |
| _version_ | 1797386074834599936 |
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| author | Seyed Mehdi Sadat Rasoul Sepideh Shafi'ah Mohsen Khodakarami |
| author_facet | Seyed Mehdi Sadat Rasoul Sepideh Shafi'ah Mohsen Khodakarami |
| author_sort | Seyed Mehdi Sadat Rasoul |
| collection | DOAJ |
| description | Hundreds of thousands of new businesses are created every year around the world, and it is estimated that about half a billion people worldwide are actively trying to start new businesses. Therefore, creating a new business is very important; because it creates new job opportunities, produces new technology and creates wealth and value in society. However, a large percentage of small businesses fail in the early years of their existence. Meanwhile, in the field of superior technologies, due to the high dependence on changing technology and also the need for high initial capital, firms are facing a more difficult situation. The purpose of this study is to provide a rule based database to determine the success and failure of IT startups in Iran. For this purpose, using research conducted in this field and also receiving the opinions of experts through a semi-open questionnaire, we identified 36 factors affecting the success and failure of startups and classified them into 5 categories. In this research, the method of fuzzy inference system by Mamdani method has been used to analyze the factors. The statistical community is the founders of Iranian startups as well as professors and business professionals;30 founders of successful Iranian startups have been randomly selected as a sample. The results show that team-related factors and team characteristics have the greatest impact on the success and failure of startups. |
| first_indexed | 2024-03-08T22:03:42Z |
| format | Article |
| id | doaj.art-e652f7fc2a584710977af1721710e745 |
| institution | Directory Open Access Journal |
| issn | 2821-0964 2821-0816 |
| language | fas |
| last_indexed | 2024-03-08T22:03:42Z |
| publishDate | 2022-12-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | مطالعات مدیریت کسب و کار هوشمند |
| spelling | doaj.art-e652f7fc2a584710977af1721710e7452023-12-19T10:34:54ZfasAllameh Tabataba'i University Pressمطالعات مدیریت کسب و کار هوشمند2821-09642821-08162022-12-01114213315910.22054/ims.2022.1551715517New Rule Base Business Success Prediction Model for Iranian IT Start-UpsSeyed Mehdi Sadat Rasoul0Sepideh Shafi'ah1Mohsen Khodakarami2Assistant Professor, Operations Management and IT Department, Faculty of Management, Kharazmi University Tehran Iran . Corresponding Author: msadatrasoul@khu.ac.irInstructor. Operations Management and IT Department, Faculty of Management, Kharazmi UniversityMaster of Operations Management and IT, Faculty of Management, Kharazmi UniversityHundreds of thousands of new businesses are created every year around the world, and it is estimated that about half a billion people worldwide are actively trying to start new businesses. Therefore, creating a new business is very important; because it creates new job opportunities, produces new technology and creates wealth and value in society. However, a large percentage of small businesses fail in the early years of their existence. Meanwhile, in the field of superior technologies, due to the high dependence on changing technology and also the need for high initial capital, firms are facing a more difficult situation. The purpose of this study is to provide a rule based database to determine the success and failure of IT startups in Iran. For this purpose, using research conducted in this field and also receiving the opinions of experts through a semi-open questionnaire, we identified 36 factors affecting the success and failure of startups and classified them into 5 categories. In this research, the method of fuzzy inference system by Mamdani method has been used to analyze the factors. The statistical community is the founders of Iranian startups as well as professors and business professionals;30 founders of successful Iranian startups have been randomly selected as a sample. The results show that team-related factors and team characteristics have the greatest impact on the success and failure of startups.https://ims.atu.ac.ir/article_15517_c4acf80451591c3a867b10ad5af57fc5.pdfsuccess failure modelit startupsmaturity levelsrule-basedfuzzy inference system |
| spellingShingle | Seyed Mehdi Sadat Rasoul Sepideh Shafi'ah Mohsen Khodakarami New Rule Base Business Success Prediction Model for Iranian IT Start-Ups مطالعات مدیریت کسب و کار هوشمند success failure model it startups maturity levels rule-based fuzzy inference system |
| title | New Rule Base Business Success Prediction Model for Iranian IT Start-Ups |
| title_full | New Rule Base Business Success Prediction Model for Iranian IT Start-Ups |
| title_fullStr | New Rule Base Business Success Prediction Model for Iranian IT Start-Ups |
| title_full_unstemmed | New Rule Base Business Success Prediction Model for Iranian IT Start-Ups |
| title_short | New Rule Base Business Success Prediction Model for Iranian IT Start-Ups |
| title_sort | new rule base business success prediction model for iranian it start ups |
| topic | success failure model it startups maturity levels rule-based fuzzy inference system |
| url | https://ims.atu.ac.ir/article_15517_c4acf80451591c3a867b10ad5af57fc5.pdf |
| work_keys_str_mv | AT seyedmehdisadatrasoul newrulebasebusinesssuccesspredictionmodelforiranianitstartups AT sepidehshafi039ah newrulebasebusinesssuccesspredictionmodelforiranianitstartups AT mohsenkhodakarami newrulebasebusinesssuccesspredictionmodelforiranianitstartups |