Zhen Chen

This research aims to explore the influencing mechanism of a caring ethical climate on knowledge-hiding behavior in large construction firms according to the reciprocity principle of social exchange theory. This is an empirical study based on the analysis of survey data collected from 413 employees working in large construction firms in China. Hierarchical regression is applied to test the research model. This research finds: (1) Caring ethical climate has a negative influence on knowledge-hiding behavior; (2) Caring ethical climate has a positive influence on psychological contract; (3) Psychological contract has a negative influence on knowledge-hiding behavior; (4) Psychological contract mediates the relationship between caring ethical climate and knowledge-hiding behavior; (5) Task interdependence positively moderates the relationship between psychological contract and knowledge-hiding behavior. Based on the social exchange theory, this study provides significant contributions to the theory and practice of knowledge management in large construction firms by highlighting the influence of a caring ethical climate on knowledge hiding among employees. This paper provides suggestions for reducing knowledge hiding and enhancing knowledge sharing among employees in large construction firms, so as to improve the knowledge management ability of large construction firms and enhance their competitive advantages.

Megaprojects encounter numerous innovation challenges as well as cross‐organization cooperation demands. The paper aims to clarify the relationship between stakeholders’ psychological ownership and cooperative innovation performance. It proposes modelling the behaviors’ mediator process and how and why the megaproject stakeholders’ psychological ownership impacts their cooperative innovation performance. The research aims to expand the domain of psychological ownership by temporary cross‐organization aspects and reveal behavioral influence mediation mechanism. This paper opted for an empirical study adapting the SEM approach. Tools such as pre‐survey and documentary analysis are applied to design the questionnaire scale. This paper acquired 237 valid questionnaires from seven megaprojects to validate the impact of stakeholders’ psychological ownership on cooperative innovation performance. This paper finds that the following: (1) the psychological ownership of megaproject stakeholders has a negative impact on cooperative innovation performance, which is realized through the dual mediators of territorial behavior and social loafing; (2) psychological ownership has a positive effect on both territorial behavior and social loafing, while territorial behavior and social loafing have a negative effect on cooperative innovation performance. This paper reveals that psychological ownership’s negative influence mechanism on cooperative innovation performance, in temporary cross‐organization, further provides support for improving cooperative innovation performance.

In this research, the probability matrix factorization (PMF) algorithm was introduced to optimize the deep neural network algorithm model with the purpose of studying the application value of personality development theory and deep learning neural network in college students’ entrepreneurship psychological education courses. Based on the personality development theory, a recommendation algorithm system for entrepreneurial projects under optimized deep neural network was established. A total of 518 college students from several universities were divided into an experimental group and a control group, with 259 students in each group. In addition to the normal courses of entrepreneurship psychology education, students in the experimental group were taught the entrepreneurship project recommendation system based on the optimized deep neural network designed in this research, while students in the control group were taught entrepreneurship psychology education normally. The intervention effect before and after entrepreneurship education was evaluated by the questionnaire of college students’ entrepreneurial intention and college students’ entrepreneurial mental resilience scale. The results demonstrate that the system recall rate and accuracy based on the algorithm in this research have been significantly higher than that of PMF algorithm and deep belief network (DBN) algorithm, and the difference is statistically significant (p < 0.05); the mean square error (MSE) of the proposed algorithm is significantly smaller than that of PMF algorithm and DBN algorithm, and the difference is statistically significant (p < 0.05); the improvement of entrepreneurial toughness, entrepreneurial strength, optimism, entrepreneurial possibility, and behavioral tendency of the experimental group after the test was significantly higher than that of the control group (p < 0.05). Therefore, compared with traditional algorithms, the proposed method for entrepreneurial projects based on the theory of personality development and the optimized deep neural network shows better performance, and it can effectively improve the entrepreneurial intention and psychological resilience of college students.

The Sports and Leisure Characteristic Town (SLCT) has become a reasonable strategy for enhancing the sustainability of new urbanization processes in rural China. Although the Chinese government has issued a series of policies to support the development of SLCTs, limited financial resources are a major obstacle. Thus, public-private partnerships (PPPs) have been increasingly encouraged for establishing SLCT projects. However, the factors that significantly influence private partners’ willingness to participate in SLCT PPP projects remain unclear. The authors of this paper conducted expert interviews and questionnaire surveys concerning the SLCT PPP projects that have been implemented in China, identifying 23 factors that can be grouped into five major components using principal component factor analysis. Multiple linear regression was then performed to evaluate the relationships between factors and private partners’ willingness to participate. The results indicated that the factors that critically influence private partners’ willingness to participate include stakeholder factors, the internal factors of private partners, external environmental risk factors, the supporting measure factors of SLCTs, and the locational factors of SLCTs. This work also offers suggestions for encouraging private partners to participate in SLCT PPP projects. This study can provide a theoretical basis and practical guidance for government and private partners in order to help them implement sustainable SLCT PPP projects.

PPP program is characterized by great organizational complexity, complicated communication network, and high coordination cost, which lead governance problems to be more complex than usual construction projects. Investigating 49 stakeholders of the D characteristic town construction program, the author constructs the work interaction network and supervision network of characteristic town PPP program based on organizational relationship. Through the calculation and comparison of network parameters, the network problems were analyzed, and the governance improvement scheme was proposed. The results show that, during the construction phase of the PPP program, (1) the SPV is still the core stakeholders; (2) the PPP program supervison belongs to hierarchical supervision characteristics and (3) the government regulators and loan institutions have limited influences on the program but they can restrict the SPV by strengthening supervision with subprogram stakeholders.