Dataset Information

The Entrepreneur's Psychological Capital, Creative Innovation Behavior, and Enterprise Performance.

ABSTRACT: In order to analyze the relationship between entrepreneur psychological capital, creative innovation behavior, and enterprise performance based on the actual situation of Chinese enterprises and provide a theoretical basis for the application of entrepreneur psychological capital in enterprise innovation and performance development, in this study, 536 entrepreneurs from 517 enterprises in different fields in Anhui region were selected, and a questionnaire survey on the psychological capital of entrepreneurs, creative innovation behaviors, and corporate performance was conducted. A hypothesis model of the relationship between entrepreneur's psychological capital, creative innovation behavior, and enterprise performance was constructed. The correlation between entrepreneur's psychological capital, creative innovation behavior, and enterprise performance and the intermediation of creative innovation behavior were analyzed using multiple-regression model and structural equation model. The results show that there is a significant positive correlation between dimensions of self-efficacy (regression coefficient = 0.682, p = 0.000), toughness (regression coefficient = 0.526, p = 0.000), and enterprise performance; there is a significant positive correlation between the dimensions of optimism (regression coefficient = 0.471, p = 0.003), hope (regression coefficient = 0.590, p = 0.006), and enterprise performance; there is a significant positive correlation between entrepreneurs' technological innovation behavior (regression coefficient = 0.506, p = 0.000), business innovation behavior (regression coefficient = 0.562, p = 0.000), and enterprise performance; there is a significant positive correlation between entrepreneurial relationship acquisition behavior (regression coefficient = 0.632, p = 0.004) and enterprise performance. Taking entrepreneurs' creative innovation behavior as the intermediary variable, the authors conclude that the dimensions of entrepreneurs' self-efficacy, hope, optimism, toughness, and the standardized path coefficient of enterprise performance are significantly reduced; through the analysis of structural equation model, it is found that the fitting index of the model of entrepreneur's psychological capital, creative innovation behavior, and enterprise performance meets the fitting standard, which shows that both the psychological capital and the creative innovation behavior of entrepreneurs can promote the improvement of enterprise performance. Entrepreneur's creative innovation behavior plays an intermediary effect in the positive influence of entrepreneur's psychological capital on enterprise performance.

SUBMITTER: Gao Q

PROVIDER: S-EPMC7393239 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Entrepreneur's Psychological Capital, Creative Innovation Behavior, and Enterprise Performance.

Gao Qianying Q Wu Cisheng C Wang Linchuan L Zhao Xuyang X

Frontiers in psychology 20200724

In order to analyze the relationship between entrepreneur psychological capital, creative innovation behavior, and enterprise performance based on the actual situation of Chinese enterprises and provide a theoretical basis for the application of entrepreneur psychological capital in enterprise innovation and performance development, in this study, 536 entrepreneurs from 517 enterprises in different fields in Anhui region were selected, and a questionnaire survey on the psychological capital of e ...[more]

PMID: 32793048

Similar Datasets

Project description:This study aims to explore the psychological capital of entrepreneurship and the deviant innovation behavior of employees, thereby providing theoretical support for the implementation of Chinese innovation policy. By analyzing the previous research results, this study used questionnaires to collect the required data for exploration. Two questionnaires were designed: one was a survey for the psychological capital of entrepreneurship, and the other was a survey for deviant innovation behavior of employees. The research results show that the correlation coefficient between entrepreneurial performance and entrepreneurial psychological capital is 0.29, indicating that there is a significant correlation between entrepreneurial psychological capital and entrepreneurial performance; the correlation coefficient between entrepreneurial opportunity ability and entrepreneurial performance is 0.40, indicating that there is a significant correlation between entrepreneurial opportunity ability and entrepreneurial performance; the correlation coefficient between entrepreneurial psychological capital and entrepreneurial opportunity ability is 0.81, indicating that there is a significant correlation between entrepreneurial psychological capital and entrepreneurial opportunity ability. In addition, there are significant correlations between the work values and psychological empowerment of employees, the work values and deviance innovation of employees, and the psychological empowerment and deviance innovation of employees. The scores of psychological empowerment and work values of employees during the period of low emotional intelligence show a downward trend, while the scores of the psychological empowerment of employees increase significantly when they show high emotional intelligence, and the differences are statistically significant. When task interdependence is high, the psychological empowerment and deviance innovation scores of employees are lower, and the difference is statistically significant. For this purpose, this study enriches the research on psychological capital and deviant innovation and provides a reference for the practice of innovation management.

Project description:The present work aims to analyze the elements that affect corporate green technology innovation and investigate a method suitable for predicting and evaluating corporate performance. First, the elements of green technology innovation and their relationships are analyzed and explained. Then, the Complex Adaptive System (CAS) theory is introduced. On this basis, a computer model for the driving mechanism system of corporate green technology innovation is constructed on the Recursive Porus Agent Simulation (Repast) platform. Finally, the Backpropagation Neural Network (BPNN) model is optimized by Particle Swarm Optimization (PSO), constituting the PSO-BPNN algorithm to evaluate corporate performance. The results of network training and simulation demonstrate that compared with traditional BPNN, PSO-BPNN achieve a faster convergence speed and fewer errors. Besides, the actual output value has a tiny difference from the expected value, showing the application potential of this algorithm in corporate performance prediction. Moreover, the driving factors of green technology innovation greatly affect the profitability and performance of enterprises. Given insufficient corporate profit margin, continuous technological innovation activities can ensure the normal operation of enterprises. A smaller corporate tax rate can shorten the time for the system to reach equilibrium. When the corporate tax rate is above 0.2, the system takes longer to reach equilibrium. In addition, the public opinion coefficient directly affects the time needed for the system to attain equilibrium. When the public opinion coefficient is within 50,00 ~ 6,000 interval, the time that the system takes to reach equilibrium changes significantly. Furthermore, corporate internal and external driving factors have a direct effect on corporate green technology innovation and performance. The research findings indicate that the PSO-BPNN algorithm is of vital practical value to corporate performance evaluation.

Project description:Nursing burnout is associated with reduced nursing performance outcomes. Positive psychological capital is known to play an important role in improving workers' job performance. However, the association among the three variables has rarely been addressed. The purpose of this cross-sectional descriptive study was to explore the association between burnout and nursing performance outcomes among Korean nurses working at a tertiary hospital and the mediating role of psychological capital in this relationship. Recruited through convenience sampling, a total of 285 nurses provided data on their demographic characteristics and completed a structured questionnaire consisting of items from the Professional Quality of Life Scale (burnout), Nursing Performance Scale, and Psychology Capital Questionnaire. Descriptive statistics, student's t-tests, one-way analysis of variance, Pearson's correlation coefficients, and multiple linear regression analyses were used to analyze data. The significance of the mediation effect was obtained using a bootstrap approach with the PROCESS macro. The mean age of participants was 30.51 years, and most participants were females (94.0%) and unmarried (71.6%); more than half (57.5%) experienced a severe workload. The average (±standard deviation) scores of burnout, nursing performance outcomes, and positive psychological capital were 28.77 ± 4.93, 2.98 ± 0.32, and 3.19 ± 0.45, respectively. Burnout was associated with nursing performance among clinical nurses (? = -0.20, p < 0.001). Positive psychological capital mediated the association between burnout and nursing performance outcomes (? = 0.41, p < 0.001). These findings contribute to the understanding that burnout among nurses could be reduced by increased positive psychological capital, which results in improved performance outcomes. The findings also indicate that interventions to improve positive psychological capital should be developed and implemented for nurses' burnout management and improvement in nursing performance outcomes.

Dataset Information

The Entrepreneur's Psychological Capital, Creative Innovation Behavior, and Enterprise Performance.

Publications

The Entrepreneur's Psychological Capital, Creative Innovation Behavior, and Enterprise Performance.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets