Small and medium-sized startups play a crucial role in a country's sustainable development. SMEs are at an early development stage, which means weaker institutional norms and successful paradigms, tending to suffer from exceptionally high failure rates because of many constraints, including a lack of resources and credit to access the core information. The higher the environmental uncertainty, the more likely that new start-ups rely on all kinds of social links for acquiring resources. As a critical ability to withstand and overcome obstacles, entrepreneurial resilience is an essential personal characteristic to ensure the sustainability of new ventures. The purpose of this study is to investigate the internal mechanism through which SME entrepreneurs' social capital affects entrepreneurial resilience. To reveal the internal mechanism, we propose a moderated and mediation model. Using survey data from SEM entrepreneurs in China, hierarchical regression analysis and bootstrapping model are adapted to test and verify mediation and moderation effects. The results show that social capital indeed positively influences entrepreneurial resilience directly and partly through the mediating effect of harmonious entrepreneurial passion and obsessive entrepreneurial passion. Moreover, findings suggest golden-mean thinking negatively moderates the relationship between obsessive entrepreneurial passion and entrepreneurial resilience yet positively moderates the relationship between social capital and entrepreneurial resilience. Based on these findings, we conclude that entrepreneurial resilience may be achieved more effectively through the complex internal process of social capital, entrepreneurial passion, and golden-mean thinking. Finally, the study proposes the theoretical and practical implications and suggestions for follow-up research.
The mixed integer linear programming (MILP) has been widely applied in many fields such as supply chain management and robot control, while how to develop a more efficient algorithm to solve large-scale MILP is still in discussion. This study addresses a hybrid algorithm of the ant colony and Benders decomposition to improve the efficiency. We firstly introduce the design of our algorithm, in which the Benders algorithm decomposes the MILP into a master problem and a slack problem, the ant colony algorithm generates initial solutions for the master problem, and heuristic rules obtain feasible solutions for the slack problem. Then, the computational experiments are carried out to verify efficiency, with a benchmark test and some medium-large scale examples. Compared with other algorithms like CPLEX, GUROBI, and traditional ACA, our algorithm shows a better performance with a 0.3%–4.0% optimality gap, as well as a significant decrease of 54.3% and 33.6% on average in the CPU time and iterations, respectively. Our contribution is to provide a low-workload, time-saving, and high-accuracy hybrid algorithm to solve MILP problems with a large amount of variables, which can be widely used in more commercial solvers and promote the utilization of the artificial intelligence.
Driven by economic and social benefits, social enterprises create new development models that combine wealth creation, social welfare provision, and environmental improvement through innovative approaches. The social entrepreneurship orientation reflects the behavioral tendency to transplant entrepreneurship orientation into the field of social value creation. It is a strategy to balance and integrate economic interests and social interests, which has a significant impact on social entrepreneurship performance. The purpose of this study is to explore the internal mechanism of the impact of social entrepreneurs’ mindfulness upbringing perception on social entrepreneur orientation. To reveal the internal mechanism, we propose a moderated and mediation model of prosocial motivation and perceived pressure from external stakeholders. In this study, random sampling was conducted among social start-ups in China. In order to improve the accuracy of the scale, a pre-survey was conducted before the formal survey. The data analysis results of the pre-survey showed that the scale in this study was suitable for the Chinese context and had good external validity. Through using survey data from social entrepreneurs in China, hierarchical regression analysis and bootstrapping model are adapted to test and verify mediation and moderation effects. The results show that mindfulness upbringing perception indeed positively influences social entrepreneurship orientation directly and partly through the mediating effect of prosocial motivation. Moreover, findings suggest the perceived pressure from external stakeholders negatively moderates not only the relationship between prosocial motivation and social entrepreneurship orientation but also the overall mediation model. This indicates that social entrepreneurs with low perceived pressure from external stakeholders will improve their social entrepreneurship orientation rapidly when their prosocial level is high. Based on these findings, we conclude that social entrepreneurship orientation may be achieved more effectively through the complex process of mindfulness upbringing perception, prosocial motivation, and perceived pressure from external stakeholders. Finally, the study proposes the theoretical and practical implications and suggestions for follow-up research.
In modern quality control applications, there often exist significant measurement errors because observations are measured quickly in time order. As a result, the errors influence the power of a control chart to detect a given change in the process parameter(s) of a quality characteristic. In this paper, by using a covariate error model, the properties of the Shewhart X ¯ chart integrated with run rules are investigated when errors exist in the measurement of quality characteristic. Two metrics, the average run length and 95% quantile of the run length, are adopted to evaluate the chart’s performance for different mean shifts and sample sizes. Numerous simulations are conducted, and the results indicate that the errors in the measurement significantly affect the performance of the run rule X ¯ chart, especially when the errors are large. To reduce this negative effect on the run rule X ¯ chart, measuring more times of each item in each subgroup and increasing the coefficient in the covariate error model are shown to be good choices for practitioners.
The purpose of this research is to investigate the association of the heterogeneity of entrepreneurial team with organizational Resilience. In an uncertain environment, whether new ventures can form entrepreneurial resilience at the organizational level in adverse events becomes the key to sustainable development. Based on the theory of heterogeneous advantage and identity characteristics, this manuscript constructed a research framework of “Structure-Behavior-Result” and described the mechanism and boundary conditions of the heterogeneity of entrepreneurial team affecting organizational resilience in detail. The role of Confucian traditional culture as a moderator has also been analyzed. Data has been obtained from 390 entrepreneurs in China. All hypotheses were tested using moderated mediation model. It has been found that the heterogeneity of entrepreneurial team has positive effect on organizational resilience. It has also been discovered that cross-boundary search behavior acted as a partial mediator between the heterogeneity of entrepreneurial team and organizational resilience. The Confucian traditional culture strengthens the relationship between them. The results are helpful in understanding the internal mechanism of the heterogeneity of entrepreneurial team affecting organizational resilience. Theoretical and practical implications have been highlighted and future research suggestions have been provided.
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