Predicting entrepreneur’s income status using logistic regression: a case study of GIATMARA incubator program / Sharifah Nurnajwa Syed Mashor
The entrepreneur is commonly seen as a business leader and innovator of new ideas and business processes. Entrepreneurship education is found to contribute significantly to risk-taking, the formation of new ventures, and the propensity to be self-employed. MARA has developed a program named Incubato...
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| Format: | Student Project |
| Language: | en |
| Published: |
2013
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| Online Access: | https://ir.uitm.edu.my/id/eprint/38652/1/38652.pdf https://ir.uitm.edu.my/id/eprint/38652/ |
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| _version_ | 1833065950196269056 |
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| author | Syed Mashor, Sharifah Nurnajwa |
| author_facet | Syed Mashor, Sharifah Nurnajwa |
| author_sort | Syed Mashor, Sharifah Nurnajwa |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The entrepreneur is commonly seen as a business leader and innovator of new ideas and business processes. Entrepreneurship education is found to contribute significantly to risk-taking, the formation of new ventures, and the propensity to be self-employed. MARA has developed a program named Incubator GIATMARA Program. The program is to give an early exposure about entrepreneurship and help GIATMARA’s students become successful entrepreneurs. The research used simple random sampling and questionnaire to collect respondents. From the findings, this study found that the best method to be applied in logistic regression is enter method. Factors that influence entrepreneur’s income are number of worker that the entrepreneurs have and capital sources other than MARA. |
| format | Student Project |
| id | my.uitm.ir-38652 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2013 |
| record_format | eprints |
| spelling | my.uitm.ir-386522020-12-16T04:47:45Z https://ir.uitm.edu.my/id/eprint/38652/ Predicting entrepreneur’s income status using logistic regression: a case study of GIATMARA incubator program / Sharifah Nurnajwa Syed Mashor Syed Mashor, Sharifah Nurnajwa Income. Factor shares Profit Entrepreneurship. Property The entrepreneur is commonly seen as a business leader and innovator of new ideas and business processes. Entrepreneurship education is found to contribute significantly to risk-taking, the formation of new ventures, and the propensity to be self-employed. MARA has developed a program named Incubator GIATMARA Program. The program is to give an early exposure about entrepreneurship and help GIATMARA’s students become successful entrepreneurs. The research used simple random sampling and questionnaire to collect respondents. From the findings, this study found that the best method to be applied in logistic regression is enter method. Factors that influence entrepreneur’s income are number of worker that the entrepreneurs have and capital sources other than MARA. 2013-03 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/38652/1/38652.pdf Predicting entrepreneur’s income status using logistic regression: a case study of GIATMARA incubator program / Sharifah Nurnajwa Syed Mashor. (2013) [Student Project] (Submitted) |
| spellingShingle | Income. Factor shares Profit Entrepreneurship. Property Syed Mashor, Sharifah Nurnajwa Predicting entrepreneur’s income status using logistic regression: a case study of GIATMARA incubator program / Sharifah Nurnajwa Syed Mashor |
| title | Predicting entrepreneur’s income status using logistic regression: a case study of GIATMARA incubator program / Sharifah Nurnajwa Syed Mashor |
| title_full | Predicting entrepreneur’s income status using logistic regression: a case study of GIATMARA incubator program / Sharifah Nurnajwa Syed Mashor |
| title_fullStr | Predicting entrepreneur’s income status using logistic regression: a case study of GIATMARA incubator program / Sharifah Nurnajwa Syed Mashor |
| title_full_unstemmed | Predicting entrepreneur’s income status using logistic regression: a case study of GIATMARA incubator program / Sharifah Nurnajwa Syed Mashor |
| title_short | Predicting entrepreneur’s income status using logistic regression: a case study of GIATMARA incubator program / Sharifah Nurnajwa Syed Mashor |
| title_sort | predicting entrepreneur’s income status using logistic regression: a case study of giatmara incubator program / sharifah nurnajwa syed mashor |
| topic | Income. Factor shares Profit Entrepreneurship. Property |
| url | https://ir.uitm.edu.my/id/eprint/38652/1/38652.pdf https://ir.uitm.edu.my/id/eprint/38652/ |
| url_provider | http://ir.uitm.edu.my/ |