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Lin Li
Business School, Hunan University, Changsha 410012, China

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Journal article
Published: 01 July 2021 in Sustainability
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This study conducted a comprehensive and systematic investigation of the influencing factors for collaborative innovation project (CIP) performance. First, a theoretical framework model was constructed, and then a structural equation model (SEM) was used for an empirical analysis of 199 CIPs. Furthermore, we divided the factors into tangible and intangible categories and considered the impact mechanism of nine typical factors on project performance. The results are as follows: (1) All nine factors had a significant positive impact on the performance of collaborative innovation projects, among which benefit distribution and collaborative innovation capability were the most important. (2) Benefit distribution, resource dependence, organizational climate, and collaborative innovation affected project performance, both directly and indirectly. (3) Effective communication, leadership support, knowledge sharing, and collaborative innovation ability only had a direct influence, while the incentive mechanism played only an indirect role. Finally, three suggestions were put forward on the idea of high-quality, sustainable development.

ACS Style

Hong Liu; Zhihua Liu; Yongzeng Lai; Lin Li. Factors Influencing Collaborative Innovation Project Performance: The Case of China. Sustainability 2021, 13, 7380 .

AMA Style

Hong Liu, Zhihua Liu, Yongzeng Lai, Lin Li. Factors Influencing Collaborative Innovation Project Performance: The Case of China. Sustainability. 2021; 13 (13):7380.

Chicago/Turabian Style

Hong Liu; Zhihua Liu; Yongzeng Lai; Lin Li. 2021. "Factors Influencing Collaborative Innovation Project Performance: The Case of China." Sustainability 13, no. 13: 7380.

Journal article
Published: 20 July 2020 in Mathematics
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With the development of the urbanization process, the demand for water resources has increased significantly, but the pollution of water resources has caused serious problems. These changes pose a potential threat to water resource carrying capacity in many regions. However, how to determine the areas of highest risk in water resource carrying capacity is an urgent problem which remains to be solved. Resounding to these circumstances, this study establishes a TODIM-PROMETHEE Ⅱ (An acronym in Portuguese for interactive and multiple attribute decision making- preference ranking organization method for enrichment evaluation Ⅱ) based decision support framework to address this issue for the regions of intensive governance, thereby providing support. In this framework, a novel theoretical concept, namely probabilistic linguistic Z-numbers, is proposed to describe group decision information. The related knowledge of probabilistic linguistic Z-numbers is developed, including a comparison method, distance, and operational rules. Subsequently, a case study involving the evaluation of water resource carrying capacity is conducted to demonstrate the feasibility of the decision support model, followed by sensitivity analysis, comparison analysis, and discussion. The findings demonstrate that the constructed framework demonstrates great performance to address this issue.

ACS Style

Xiao-Kang Wang; Yi-Ting Wang; Jian-Qiang Wang; Peng-Fei Cheng; Lin Li. A TODIM-PROMETHEE Ⅱ Based Multi-Criteria Group Decision Making Method for Risk Evaluation of Water Resource Carrying Capacity under Probabilistic Linguistic Z-Number Circumstances. Mathematics 2020, 8, 1190 .

AMA Style

Xiao-Kang Wang, Yi-Ting Wang, Jian-Qiang Wang, Peng-Fei Cheng, Lin Li. A TODIM-PROMETHEE Ⅱ Based Multi-Criteria Group Decision Making Method for Risk Evaluation of Water Resource Carrying Capacity under Probabilistic Linguistic Z-Number Circumstances. Mathematics. 2020; 8 (7):1190.

Chicago/Turabian Style

Xiao-Kang Wang; Yi-Ting Wang; Jian-Qiang Wang; Peng-Fei Cheng; Lin Li. 2020. "A TODIM-PROMETHEE Ⅱ Based Multi-Criteria Group Decision Making Method for Risk Evaluation of Water Resource Carrying Capacity under Probabilistic Linguistic Z-Number Circumstances." Mathematics 8, no. 7: 1190.

Journal article
Published: 11 August 2018 in The North American Journal of Economics and Finance
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In this paper we apply both biased and multivariate control variate methods to some exotic option pricing problems with exponential subordinated Brownian motion models for the underlying asset prices. For both arithmetic Asian and basket options, control variates conditional on geometric means of asset prices are constructed. To reduce biases, we derive expressions of expectations in terms of expectations of subordinators for relevant random variables. Numerical results show that the constructed control variates are more efficient than the classical control variates in reducing variances when pricing Asian and basket options under the normal inverse Gaussian and variance gamma models. We believe that the great variance reduction gains are due to the high correlations between the option playoffs and the constructed control variates. The efficiencies realized by the control variates are even much more significant when they are combined with quasi-Monte Carlo methods. Details are given in Section 6.

ACS Style

Ling Zhang; Yongzeng Lai; Shuhua Zhang; Lin Li. Efficient control variate methods with applications to exotic options pricing under subordinated Brownian motion models. The North American Journal of Economics and Finance 2018, 47, 602 -621.

AMA Style

Ling Zhang, Yongzeng Lai, Shuhua Zhang, Lin Li. Efficient control variate methods with applications to exotic options pricing under subordinated Brownian motion models. The North American Journal of Economics and Finance. 2018; 47 ():602-621.

Chicago/Turabian Style

Ling Zhang; Yongzeng Lai; Shuhua Zhang; Lin Li. 2018. "Efficient control variate methods with applications to exotic options pricing under subordinated Brownian motion models." The North American Journal of Economics and Finance 47, no. : 602-621.

Journal article
Published: 07 July 2016 in Sustainability
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With the low-carbon economy advocated all over the world, how to use energy reasonably and efficiently in public projects has become a major issue. It has brought many open questions, including which method is more reasonable in evaluating the energy utilization of carbon performance in public projects when the evaluation information is fuzzy; whether an indicator system can be constructed; and which indicators have more impact on carbon performance. This article aims to solve these problems. We propose a new carbon performance evaluation system for energy utilization based on project processes (design, construction, and operation). Fuzzy Analytic Hierarchy Process (FAHP) is used to accumulate the indicator weights and cloud model is incorporated when the indicator value is fuzzy. Finally, we apply our indicator system to a case study of the Xiangjiang River project in China, which demonstrates the applicability and efficiency of our method.

ACS Style

Lin Li; Fangfang Fan; Li Ma; Ziran Tang. Energy Utilization Evaluation of Carbon Performance in Public Projects by FAHP and Cloud Model. Sustainability 2016, 8, 630 .

AMA Style

Lin Li, Fangfang Fan, Li Ma, Ziran Tang. Energy Utilization Evaluation of Carbon Performance in Public Projects by FAHP and Cloud Model. Sustainability. 2016; 8 (7):630.

Chicago/Turabian Style

Lin Li; Fangfang Fan; Li Ma; Ziran Tang. 2016. "Energy Utilization Evaluation of Carbon Performance in Public Projects by FAHP and Cloud Model." Sustainability 8, no. 7: 630.