Weiwei Liu

ORCID: 0000-0002-4336-1047
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About
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Research Areas
  • Innovation Policy and R&D
  • Medical Research and Treatments
  • Energy, Environment, Economic Growth
  • Industrial Technology and Control Systems
  • Innovation Diffusion and Forecasting
  • Innovation and Knowledge Management
  • Complex Network Analysis Techniques
  • Job Satisfaction and Organizational Behavior
  • Advanced Decision-Making Techniques
  • Text and Document Classification Technologies
  • Knowledge Management and Sharing
  • Environmental Sustainability in Business
  • Intellectual Property and Patents
  • Biomedical and Engineering Education
  • Ethics in Business and Education
  • Opinion Dynamics and Social Influence
  • CRISPR and Genetic Engineering
  • Marine and Coastal Research
  • Pacific and Southeast Asian Studies
  • Evaluation Methods in Various Fields
  • Digital Marketing and Social Media
  • Metaheuristic Optimization Algorithms Research
  • Diverse Interdisciplinary Research Innovations
  • Human Health and Disease
  • Private Equity and Venture Capital

Harbin Engineering University
2013-2024

Chang'an University
2024

CCCC Highway Consultants (China)
2024

Capital Medical University
2016-2024

Hangzhou Dianzi University
2024

Hong Kong Polytechnic University
2023

Zhejiang University of Technology
2023

Harbin Institute of Technology
2008-2022

Ministry of Industry and Information Technology
2020-2022

Dalian Medical University
2011-2022

Summary In this article, we sought to identify a new interpersonal antecedent of knowledge hiding, namely, leader–member exchange (LMX). Drawing on the group engagement model (an extension social identity theory within group/organization context), built theoretical linking LMX and hiding. This focuses mediating role organizational identification moderating relative in influencing mediation. Using two time‐lagged studies (Study 1: n = 317; Study 2: 248) conducted China, examined our research...

10.1002/job.2359 article EN Journal of Organizational Behavior 2019-02-01

Due to the non-linear but highly interpretable representations, decision tree (DT) models have significantly attracted a lot of attention researchers. However, it is difficult understand and interpret DT in ultrahigh dimensions usually suffer from curse dimensionality achieve degenerated performance when there are many noisy features. To address these issues, this paper first presents novel data-dependent generalization error bound for perceptron (PDT), which provides theoretical...

10.5555/3122009.3176825 article EN Journal of Machine Learning Research 2017-01-01

Learning the correlation among labels is a standing-problem in multi-label image recognition task. The label key to solve classification but it too abstract model. Most solutions try learn dependencies improve performance. However, they have ignored two more realistic problems: object scale inconsistent and tail (category imbalance). These problems will impact bad influence on To tackle these correlations, we propose feature attention network (FAN) which contains refinement learning network....

10.1109/access.2019.2929512 article EN cc-by IEEE Access 2019-01-01

A rapid, low-temperature, solution-based photonic-annealing method is developed to prepare tin oxide electron transport layers for efficient perovskite solar cells.

10.1039/c7ta07969a article EN Journal of Materials Chemistry A 2017-01-01

Purpose This study aims to present the critical role of knowledge management in digital entrepreneurship by reviewing literature and proposing future research directions for through an interdisciplinary framework. Design/methodology/approach uses Derwent Data Analyzer identify visualise extant studies on entrepreneurship. qualitatively analyses hot topics trends understand from perspective. Findings The authors found two dominant existing research: logical development trend exploration at...

10.1108/jkm-12-2022-0977 article EN Journal of Knowledge Management 2023-05-31

Environmental friendly renewable energy plays an indispensable role in industry development. Foreign direct investment (FDI) advanced technology spillover is promising to improve technological capability and promote China’s performance growth. In this paper, the impacts of FDI on are analyzed based theoretical empirical studies. Firstly, three hypotheses proposed illustrate relationships between performances including economic, environmental, innovative performances. To verify hypotheses,...

10.3390/su8090846 article EN Sustainability 2016-08-29

Dense MoS<sub>2</sub> nanosheets are grown on hydrophobic hollow carbon spheres through a solvothermal method for enhanced capacitive storage and electrocatalytic properties.

10.1039/c8qi00562a article EN Inorganic Chemistry Frontiers 2018-01-01

Smart grids (SGs) have been widely recognized as an enabling technology for delivering sustainable energy transitions. SGs a positive effect on the development of world economy and society. SG construction plays important role in responding to global climate change promoting Under such background, this paper attempts investigate patent collaborations field China. Based application data collaborative patents from State Intellectual Property Office (SIPO) China, study employs complex network...

10.3390/su11020465 article EN Sustainability 2019-01-17

Strategic emerging industries (SEIs) represent the future direction of industrial developments and are crucial in stimulating overall long-term development for economy society. The government plays a key role promoting SEIs. This paper, first time, investigates cooperation relationship among innovation members, such as enterprises, universities research institutes collaborative network strategic under intervention. A three-population evolutionary game theory approach was employed different...

10.3390/su10124585 article EN Sustainability 2018-12-04

Detecting fraud users, who fraudulently promote certain target items, is a challenging issue faced by e-commerce platforms. Generally, many users have different spam behaviors simultaneously, e.g. transactions, clicks, reviews and so on. Existing solutions two main limitations: 1) the correlations among multiple are neglected; 2) large-scale computations intractable when dealing with an enormous user set. To remedy these problems, this work proposes collaboration based multi-label...

10.24963/ijcai.2020/343 article EN 2020-07-01

Purpose This paper aims to investigate a new predictor of knowledge hiding, namely, employee perceptions corporate hypocrisy (PCH). Based on the social cognitive theory, this study constructs moderated mediation model linking PCH and hiding. The theoretical concentrates mediating role moral identity moderating organization-based self-esteem (OBSE). Design/methodology/approach Two studies with different samples designs were used. In Study 1, experimental method explored whether could elicit...

10.1108/jkm-03-2021-0216 article EN Journal of Knowledge Management 2021-10-21

Purpose This study aims to explore the patterns and transformational dynamics of executive–interpreter network in innovation processes small- medium-sized enterprises hospitality. Design/methodology/approach Grounded social theory adopting a case-based approach, this features multi-case design focusing on three Chinese boutique hotels. Data were collected through Web page document reviews, participant observations semistructured interviews. Findings Results capture how contribute Key factors...

10.1108/ijchm-10-2022-1259 article EN International Journal of Contemporary Hospitality Management 2023-09-09

Purpose Energy conservation and environmental protection industry (ECEPI) is a strategic choice to promote energy emission reduction, develop green economy circular economy. However, China’s ECEPI still in the stage of rapid development overall scale relatively small, what periods have experienced? This study aims contribute better understanding collaborative innovation evolution based on social network analysis from perspective multi-dimensional proximity. Design/methodology/approach...

10.1108/jbim-04-2022-0177 article EN Journal of Business and Industrial Marketing 2023-12-18

The aim of this study was to evaluate the diagnostic value high-frequency ultrasonography in detecting atrophy foot muscles Chinese patients type 2 diabetes mellitus (T2DM). T2DM with (n = 56) or without 50) diabetic peripheral neuropathy (DPN) and control subjects were enrolled. nondominant all examined ultrasonography. transverse diameter, thickness, cross-sectional area extensor digitorum brevis muscle (EDB) thickness first interstitium (MILs) measured. results showed that...

10.1155/2014/927069 article EN cc-by Journal of Diabetes Research 2014-01-01

Social media sites are now becoming very important platforms for product promotion or marketing campaigns. Therefore, there is broad interest in determining ways to guide a site react more positively with limited budget. However, the practical significance of existing studies on this subject two reasons. First, most have investigated issue oversimplified networks which several network characteristics ignored. Second, opinions individuals modeled as bipartite states (e.g., support not)...

10.24963/ijcai.2020/174 preprint EN 2020-07-01
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