Purpose Using statistical analysis, this paper aims to understand and investigate the factors for starting a new company successfully. Indicators from the literature and the data analysis prove that entrepreneurial environment, ability, intentions and self-actualization affect the success rate of entrepreneurship. Design/methodology/approach To analyze the success factors for entrepreneurship, the authors take entrepreneurial environment and entrepreneurial ability as the independent variables, self-actualization as the mediating variable and entrepreneurial intentions as the dependent variable. Then, the authors build the frame model of the influencing factors according to entrepreneurial intentions based on the self-actualization mediating effect of college students. At last, four hypotheses are proposed based on this frame model. Findings The empirical research proves that the better the entrepreneurial environment, the stronger the entrepreneurial intentions of college students; the stronger the entrepreneurial ability of students, the stronger the entrepreneurial intentions; and under the mediating effect of self-actualization, entrepreneurial environment and entrepreneurial ability will affect entrepreneurial intentions strongly. Finally, based on the empirical results, this paper proposes to pay attention to entrepreneurship education and strengthen the construction of the entrepreneurial environment to better enhance entrepreneurial intentions. Research limitations/implications The study has a few limitations because, as it refers to the sample for college students and the new start-up, it would require a more generalized analysis of the factors, such as to include more and better indicators for demographic, economic and institutional determinants of the entrepreneurial intentions and entrepreneurship. For further studies on entrepreneurship, the validate measuring scale of the concept must be addressed. Practical implications The present work shows that optimizing the entrepreneurial environment and improving the entrepreneurial ability of college students can enhance the success rate of the entrepreneurship. Besides, the entrepreneurial intentions should be enhanced from outside to inside. Namely, stimulate the entrepreneurial desire of college students from the external environment, such as policy support, ideological education and mobilization on employment options and other aspects of new college graduates. The psychological aspects of graduates should be guided. Originality/value For the study of entrepreneurial intentions, most scholars mainly studied the entrepreneurial psychology to discuss its relationship with entrepreneurial intentions in the early years, and gradually extended to the study of external factors, such as the entrepreneurial environment. However, the study on graduate entrepreneurship has yet to be improved. Based on the existing research, this paper makes an in-depth study on the influence mechanism of entrepreneurial intentions from entrepreneurial ability and entrepreneurial environment, puts forward a research model taking self-actualization as a mediating variable and studies the intrinsic driving force of entrepreneurial intentions.

Previous studies have identified activated regions associated with deceptive tasks and most of them utilized time, frequency, or temporal features to determine deceptive responses. However, when deception behaviors occur, the functional connectivity pattern and the communication between different brain areas remain largely unclear. In this study, we explored the most important information flows between different brain cortices during deception. First, we employed the guilty knowledge test protocol and recorded on 64 electrodes' electroencephalogram (EEG) signals from 30 subjects (15 guilty and 15 innocent). EEG source estimation was then performed to compute the cortical activities on the 24 regions of interest (ROIs). Next, effective connectivity was calculated by partial directed coherence (PDC) analysis applied to the cortical signals. Furthermore, based on the graph theoretical analysis, the network parameters with significant differences were extracted as features to identify two groups of subjects. In addition, the ROIs frequently involved in the above network parameters were selected and based on the difference in the group mean of PDC values of all the edges connected with the selected ROIs, we presented the strongest information flows (MIIF) in the guilty group relative to the innocent group. Experimental results first show that the optimal classification features are mainly indegree and out-degree measures of the ROI and the high classification accuracy for four bands demonstrated that the proposed method is suitable for lie detection. In addition, the frontal-parietal network was found to be most prominent among all the MIIFs in four bands. Finally, combining the neurophysiology signification of four frequency bands, respectively, we analyzed the roles of all the important information flows to uncover the underlying cognitive processes and mechanisms used in deception.

Background: County public hospital reform is one of the major tasks proposed in Chinese Healthcare Reform., and the evaluation of hospital reform effectiveness is very important and beneficial since it helps the government to understand the current situation of pilot county public hospitals and smoothly start the reform in all county hospitals. Methods: This study used hospitals data from 2009 to 2012 to evaluate the effectiveness of county public hospital reform through comprehensive service capability. Descriptive analysis method was used, and factor analysis method was used to extract the main factors associated with service capabilities as well as to calculate a composite score. The t-test of two independent-samples methods was used to comparison analyze. Results: The differences of common factor scores (hospital scale and service capacity, treatment quality, service quality, and services efficiency) between pilot and non-pilot hospitals were not statistically significant (P>0.05). The service capability score in 2012 was better than that in 2009 either in pilot or non-pilot group (P<0.05). The pilot hospitals’ service capability score was better than that in non-pilot groups either in 2010 or 2012 (P<0.05). However, the differences from 2009 to 2012 of service capability score between pilot and non-pilot hospitals were not statistically significant. Conclusion: The comprehensive service capability of both pilot and non-pilot group all got improvement. However, county public hospital reform did not significantly play a due good role in improving the service capability in pilot group. The reform was helpful to improve the hospital current situation, but it has not completely achieved policy objectives in the sample hospitals of this study.

No abstract

The traditional human resource management system is faced with such problems as the quality of staff recruitment can not be guaranteed, the training performance is not consistent with the actual performance, the enterprise performance appraisal is unfair, and the salary distribution is unfair, which seriously affects the enthusiasm and loyalty of employees and threatens the survival and development of enterprises. In view of the current situation and problems of human resource management system, combined with the technical characteristics of blockchain, this paper proposes a human resource management mechanism based on blockchain technology, in order to achieve the company’s human resource management system accurate, efficient, open and transparent. It is found that there is a good coupling between blockchain technology and human resource management system. This paper constructs a human resource management mechanism based on blockchain, innovates the application scenarios of blockchain technology, and provides certain guiding significance for the establishment of human resource management system and process improvement in the future.