Bibliographic record
Abstract
Purpose This article aims to investigate motivations, success factors, problems, and business‐related stress of entrepreneurs in small‐ and medium‐sized enterprises and relates them to the success of the Chinese entrepreneurs. Design/methodology/approach A total of 196 entrepreneurs in Beijing, Shanghai, and Guangzhou were randomly selected for a survey, which was analyzed to determine motivations, success factors, problems, and business‐related stress by gender. Ordered logit models were applied to motivation and success factors. Findings Results showed that 68 percent were male and 32 percent female. The average age of the entrepreneurs was about 32 years old and time devoted to their business was almost 45 hours per week. Of the total respondents, 56 percent were married and 44 percent single. When asked to indicate their motives for business ownership, these entrepreneurs suggested that increasing income, becoming their own boss, and to prove that they can succeed were the most important reasons. Reputation for honesty, providing good customer services, and having good management skills were reported to be necessary conditions for business success. Friendliness to customers and hard work were also critical for high‐performance enterprises. Among the problems encountered by entrepreneurs, unreliable/undependable employees were the most critical. Intense competition and lack of management training also proved to be great challenges for Chinese entrepreneurs. Practical implications Policy makers can strengthen its small business entrepreneurs by promoting the factors that lead to entrepreneurs' success, such as the ability to manage personnel and management skills through business outreach services provided by universities, government agencies, and nonprofit organizations. In addition, the government has the ability to simplify the tax system, and reduce payroll taxes. Technical assistance in areas such as market research, human resources management, and technological support should be provided to small business owners. Originality/value This study applied to Chinese entrepreneurs in addition to an extensive analysis of the factors that affect motivations, success, problems, and business stress.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".