scholarly journals Factors Influencing Employment Rate and Mobility of Science and Engineering and Economics and Management Graduates in Northeast China: An Examination

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402093193
Author(s):  
Zhang Qiwang ◽  
Wang Xiaorui
Keyword(s):  
Northeast China ◽  
Structural Equation ◽  
Colleges And Universities ◽  
Equation Model ◽  
Direct And Indirect Effects ◽  
Science And Engineering ◽  
Social Governance ◽  
Factors Influencing ◽  
Highly Correlated ◽  
Employment Mechanism

In China, the employment problem of higher education, social governance, and economic development is important. Exploring the employment mechanism and distribution of general colleges and universities can provide empirical evidence to the employment generating ability of colleges and universities and also suggestions for the development of regional talent policies. Based on the theories of growth, employment, and structural employment, this study analyzes the influence of macro- and micro-factors on the employment of science and engineering and economics and management graduates, adopting a multiple regression and structural equation model. Although employment of science and engineering and economics and management in general universities is affected by different macro- and micro-factors, the former has both direct and indirect effects on employment, which are stronger than the latter. The employment distribution of science and technology is highly correlated with regional gross domestic product, while the employment distribution of economics and management reflects regional stickiness.

Causal Analysis of Hydrogen Acceptance

2005 ◽  
Vol 1941 (1) ◽  
pp. 115-121 ◽  
Author(s):  
Eric Molin
Keyword(s):  
Structural Equation Model ◽  
Indirect Effects ◽  
Structural Equation ◽  
Personal Characteristics ◽  
Causal Analysis ◽  
Equation Model ◽  
Factual Knowledge ◽  
Direct And Indirect Effects ◽  
Explanatory Variables ◽  
Willingness To Use

This paper presents and discusses a structural equation model on hydrogen acceptance. This model unravels the direct and indirect effects among personal characteristics, knowledge about hydrogen, perceptions, attitudes, and willingness to use hydrogen applications. In addition, indicators of differently colored information that can be provided by mass media have been included as explanatory variables. The estimated model indicates that colored information directly influences perceptions of hydrogen and indirectly influences attitudes about hydrogen and willingness to use it. In particular, negatively colored information decreases hydrogen acceptance, which cannot be counterbalanced by providing positively colored information. Furthermore, the model suggests that more factual knowledge about hydrogen increases its acceptance. The paper further discusses the likely development of hydrogen acceptance in the future and how practitioners can influence this.

scholarly journals Identifying the Influencing Factors on Investors’ Investment Behavior: An Empirical Study Focusing on the Chinese P2P Lending Market

2020 ◽  
Vol 12 (13) ◽  
pp. 5345
Author(s):  
Xi Yang ◽  
Wenjuan Fan ◽  
Shanlin Yang
Keyword(s):  
Structural Equation ◽  
Listed Company ◽  
Influencing Factor ◽  
Equation Model ◽  
Primary Component ◽  
The State ◽  
Investment Behavior ◽  
Analysis Method ◽  
Factors Influencing ◽  
P2p Lending

Our study explores the factors influencing investors’ behavior in the peer-to-peer (P2P) lending market in China, and the relationships among them from the perspective of investors. The primary component analysis method was used to divide the P2P lending platforms into five categories. Then, a structural equation model was applied to analyze the interrelationship. Our results show that more exceptional operating ability, profitability, and security of the platform help to improve investor’s investment behavior. Operation ability is the most significant influencing factor, which also influences other factors to different degrees. After the analysis of the results, we found that the security degree of P2P lending platforms in China differs, and the risk due to the lack of bank depository for platforms is the most serious. In terms of the background, investors are less interested in the state-owned platforms compared to the bank- or listed-company-owned platforms, although the background strength of the state-owned platforms is more powerful.

Relationships between neurocognition, social cognition and functional outcome in schizophrenia

2016 ◽  
Vol 33 (S1) ◽  
pp. S67-S67 ◽  
Author(s):  
A. Mucci ◽  
S. Galderisi ◽  
A. Rossi ◽  
P. Rocca ◽  
A. Bertolino ◽  
...  
Keyword(s):  
Social Cognition ◽  
Functional Outcome ◽  
Functional Capacity ◽  
Indirect Effects ◽  
Structural Equation ◽  
Real Life ◽  
Equation Model ◽  
Direct And Indirect Effects ◽  
Neurocognitive Deficits ◽  
Life Functioning

IntroductionThe inter-relationships of neurocognition, social cognition, residual psychopathology and real-life functioning are poorly understood. A large multicenter study was carried out by the Italian Network for Research on Psychoses to model relationships between neurocognitive deficits, psychopathology and real-life functioning, taking into account the role of functional capacity and social cognition.MethodsA structural equation model was used to investigate direct and indirect effects of neurocognition and psychopathology on real-life functioning. Social cognition and functional capacity were modeled as mediators.ResultsIn 921 patients with schizophrenia, neurocognition had both direct and indirect effects, through functional capacity and social cognition, on real-life functioning. Neurocognition predicted to a large extent social cognition on which depression and disorganization had a modest effect. Social cognition showed a significant direct impact on real-life functioning.ConclusionOur results support a strong link between neurocognition and functional outcome, independent of psychopathology. Social cognition accounted for unique incremental variance in real-life functioning.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals Transformational entrepreneurship and its effect on readiness for change, psychological capital, and employee performance: evidence from an Indonesian bank

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 887
Author(s):  
Michael Gunawan ◽  
Retno Wijayanti ◽  
Febri Nila Chrisanty ◽  
Budi W. Soetjipto ◽  
Ani Wahyu Rachmawati ◽  
...  
Keyword(s):  
Indirect Effects ◽  
Structural Equation ◽  
Psychological Capital ◽  
Employee Performance ◽  
Dynamic Environment ◽  
Equation Model ◽  
Study Data ◽  
Readiness For Change ◽  
Direct And Indirect Effects ◽  
Entrepreneurial Activities

Continuing failures of financial capitalism across borders have led corporation to develop a more balanced economic growth model of transformational entrepreneurship that emphasises both short-term economic and longer-term social impacts. The model encourages entrepreneurial activities that bring major changes in the related markets and industries, as well as changes in society and culture. At the corporate level, transformational entrepreneurship prepares employees for any potential changes induced by a dynamic environment; it also improves the psychological capital of individual employees, and effective transformational entrepreneurship can eventually accelerate performance. The purpose of this study is to investigate (1) the direct and indirect effects of transformational entrepreneurship on readiness for change, psychological capital and employee performance, and (2) how the effects to readiness for change and psychological capital influence employee performance. The study data were collected using questionnaires completed by employees in 257 branches of a state-owned bank with locations throughout Indonesia. The data were analysed using the structural equation model. The results show that transformational entrepreneurship significantly and positively influences readiness for change, psychological capital, and employee performance and that readiness for change and psychological capital significantly and positively influences employee performance. Additionally, the effect of transformational entrepreneurship on employee performance is more significant if it is related to psychological capital than to readiness for change or to aspects of employee performance unrelated to transformational entrepreneurship. These findings enrich our understanding of transformational entrepreneurship and its value related to the direct and indirect effects on variables such as readiness for change, psychological capital and employee performance.

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