|
Driving SMEs and Startups Using in Innovation to Solve People's Poverty in the Upper Northeastern Region of Thailand |
|---|---|
| รหัสดีโอไอ | |
| Creator | Boonpeng Sittivongsa |
| Title | Driving SMEs and Startups Using in Innovation to Solve People's Poverty in the Upper Northeastern Region of Thailand |
| Contributor | Kanokon Boonmee, Boonchuay Kitthiwichayayakui |
| Publisher | DR.KET Institute of Academic Development and Promotion |
| Publication Year | 2566 |
| Journal Title | Modern Academic Development and Promotion Journal |
| Journal Vol. | 1 |
| Journal No. | 5 |
| Page no. | 1-16 |
| Keyword | Driving SMEs, Startups, Using Innovation to Solve People's Poverty |
| URL Website | https://so12.tci-thaijo.org/index.php/MADPIADP/ |
| Website title | https://so12.tci-thaijo.org/index.php/MADPIADP/ |
| ISSN | 2822-1095 |
| Abstract | This research follows 1) to study the business optimization of SME start-ups, 2) to analyze the factors that structure the business adjustment of SME start-ups, and 3) to create a model for increasing the business efficiency of SME start-ups enough auto Innovation to solve poverty for people in the upper northeastern region of Thailand Quantitative research and qualitative research. The sample group consisted of 400 people who had the right to vote in the upper northeastern region the target group used in the research was 16 people, used to gather information for interviews. The research tools used were questionnaires and interviews. Statistics used in data analysis are percentage, mean, and standard deviation and multiple regression analysis using a hierarchical variable selection method and descriptive analysis accompanying the discussion of results The research results found that: 1) Driving SMEs startup businesses to use innovation to solve poverty among people in the upper northeastern region of Thailand. Most of them were at a moderate level in all aspects. 2) Factors influencing the driving of SMEs and startup businesses in using innovation to solve poverty of people in the upper northeastern region of Thailand” It was found that the factor with the highest predictive power was Community participation Local role Assistance from partner networks And the aspect with the least predictive power is the role of the private sector and 3) government agencies should evaluate opinions about driving business in using innovation for citizens and used to improve and develop efficiency The results of driving startup businesses to use innovation are followed up and join in following up on the process of driving startup businesses to use innovation. Make performance evaluations reflecting problems and summarize the results of a systematic joint evaluation in driving SMEs and startups to use sustainable innovation. |
