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Fostering firm innovativeness:Understanding the sequential relationships between human resource practices,psychological empowerment,innovative work behavior,and firm innovative capability

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International Journal of Innovation Studies 2024年第1期8卷 76-91页

作者： Ruba Sami Al Daboub Amro Al-Madadha Ahmad Samed Al-Adwan business Administration Department Princess Sumaya University for TechnologyAmmanJordan Department of business Technology Business SchoolHourani Center for Applied Scientific ResearchAl-Ahliyya Amman UniversityAmmanJordan

This study investigated the relationships between human resource(HR)practices,employee psychological empowerment,employee innovative work behavior,and firm innovation capability in the context of the Information and Communication Technology(ICT)sector in *** the Social Exchange Theory(SET)as a guiding framework,this study explored how employee psychological empowerment and innovative work behavior mediated the influence of HR practices on a firm’s innovative *** on extensive data collected from ICT organizations in Jordan,our analysis had several key findings.A significant positive correlation between HR practices and psychological empowerment was *** design emerged as the most influential factor affecting psychological empowerment,whereas compensation had a weaker ***,we established that psychological empowerment significantly enhanced innovative work behavior,underscoring its role as a catalyst for innovative work behavior within the ***,our study supported the theory that psychological empowerment influenced a firms’innovation capabilities,emphasizing the pivotal role of employee empowerment in driving firm-level innovation in the Jordanian ICT *** findings provide insights for academic and practical audiences,clarifying how HR practices,employee psychological empowerment,and innovative work behavior collectively influenced firm innovation capability within the unique context of the Jordanian ICT sector.

关键词： Human resources practices Psychological empowerment Innovative work behavior Firm innovative capability Social exchange theory Job design

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Stock transferability,the managerial learning effect and corporate innovation

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China Journal of Accounting Research 2024年第1期17卷 1-27页

作者： Xuehang Yu Junxiong Fang school of business East China University of Science and TechnologyChina school of Accounting Zhejiang University of Finance and EconomicsChina

This paper considers stock halts to study the impact of stock liquidity loss on the managerial learning effect based on stock *** examine stock halts’impact on corporate innovation and find that discretionary halts hinder *** also find that discretionary halts reduce information quality and increase financial constraints and agent ***-sectional tests show that this negative impact is more pronounced in samples with high shareholding ratios by large shareholders,institutional investors and private *** results indicate that the loss of non-institutional stock trading rights,represented by discretionary stock halts,affects revelatory price efficiency in the secondary market,hinders managers’learning effect and affects enterprises’production and operation *** findings have policy implications for stock circulation-right protection and Chinese capital-market reform.

关键词： Stock circulation rights loss Discretionary stock halt Managerial learning effect Innovation

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CF-DAN: Facial-expression recognition based on cross-fusion dual-attention network

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Computational Visual Media 2024年第3期10卷 593-608页

作者： Fan Zhang Gongguan Chen Hua Wang Caiming Zhang Shandong Technology and business University Shandong 264005China school of Information and Electrical Engineering Ludong UniversityYantai 264025China Shangdong University Shandong 250100China

Recently, facial-expression recognition (FER)has primarily focused on images in the wild, includingfactors such as face occlusion and image blurring, ratherthan laboratory images. Complex ﬁeld environmentshave introduced new challenges to FER. To addressthese challenges, this study proposes a cross-fusion dualattention network. The network comprises three parts:(1) a cross-fusion grouped dual-attention mechanism toreﬁne local features and obtain global information;(2) aproposed C2 activation function construction method,which is a piecewise cubic polynomial with threedegrees of freedom, requiring less computation withimproved ﬂexibility and recognition abilities, whichcan better address slow running speeds and neuroninactivation problems;and (3) a closed-loop operationbetween the self-attention distillation process andresidual connections to suppress redundant informationand improve the generalization ability of the *** recognition accuracies on the RAF-DB, FERPlus,and AffectNet datasets were 92.78%, 92.02%, and63.58%, respectively. Experiments show that this modelcan provide more effective solutions for FER tasks.

关键词： facial-expression recognition(FER) cubic polynomial activation function dualattention mechanism interactive learning self-attention distillation

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Dynamic analysis of major public health emergency transmission considering the dual-layer coupling of community–resident complex networks

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Chinese Physics B 2024年第7期33卷 158-169页

作者：杨鹏范如国王奕博张应青 school of Economics and Management Wuhan UniversityWuhan 430072China Postdoctoral Research Station China International Engineering Consulting CorporationBeijing 100000China school of business Administration Guizhou University of Finance and EconomicsGuiyang 550025China

We construct a dual-layer coupled complex network of communities and residents to represent the interconnected risk transmission network between communities and the disease transmission network among residents. It characterizes the process of infectious disease transmission among residents between communities through the SE2IHR model considering two types of infectors. By depicting a more fine-grained social structure and combining further simulation experiments, the study validates the crucial role of various prevention and control measures implemented by communities as primary executors in controlling the epidemic. Research shows that the geographical boundaries of communities and the social interaction patterns of residents have a significant impact on the spread of the epidemic, where early detection, isolation and treatment strategies at community level are essential for controlling the spread of the epidemic. In addition, the study explores the collaborative governance model and institutional advantages of communities and residents in epidemic prevention and control.

关键词： propagation dynamics complex networks public health events community structure

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Bureaucratic Culture and Innovation

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China & World Economy 2024年第3期32卷 31-66页

作者： Shigang Li Kexin She Li Zhang International school of business and Finance Sun Yat-sen UniversityChina National school of Development Peking UniversityChina International school of business and Finance Key Laboratory of Mesoeconomics and Coordinated Development of Regions and IndustriesSun Yat-sen UniversityChina

This study explores the effects of bureaucratic culture on *** define bureaucratic culture as a culture in which power and officials are held in the highest *** panel data of publicly listed Chinese manufacturing firms from 2007 to 2015,we found that bureaucratic culture negatively correlated with firms'patent output.A mechanism analysis shows that bureaucratic culture hindered corporate innovation by reducing firms'research and development inputs and decreasing innovation ***,we provided evidence that anti-corruption campaigns and the development of formal institutions could neutralize the negative impact of bureaucratic culture on corporate *** study is the first to investigate quantitatively the causal effect of bureaucratic culture on corporate innovation and it can deepen the understanding of the relationship between culture and innovation in *** speculate that promoting a creative culture,particularly one that fosters entrepreneurial spirit,is of utmost importance.

关键词： bureaucratic culture corporate innovation economic growth talent allocation

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Effects of combustion temperature on the optical properties of brown carbon from biomass burning

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Journal of Environmental Sciences 2024年第3期137卷 302-309页

作者： Peng Gao Rule Deng Song Jia Yue Li Xuefei Wang Qian Xing school of Chemistry Sciences University of Chinese Academy of SciencesBeijing 100049China College of Chemistry and Materials Engineering Beijing Technology and Business UniversityBeijing 100048China

Biomass burning has been known as one of main sources of Brown Carbon(BrC)in *** this study,by controlling the combustion temperature at 250℃,350℃,and 450℃,the methanol soluble organic carbon(MSOC)and methanol insoluble carbon(MISC)from pine wood burning was collected by ***–Vis,excitation emission matrix(EEM),TEM and FTIR spectra were applied to investigate the properties of BrC *** MSOC at 250℃ and 350℃,all the spectral profiles of UV–Vis absorption and excitation emission matrix are almost the same,while the EEM of MSOC at 450℃ are different from that of the other *** MISC fuorescence was observed only in the case of 450℃.In the FTIR spectra,with the temperature increasing the peaks associated to the oxygen-contained functions was weakened,indicating the formation of the fuorophores with larger conjugated system,especially aromatic *** results show that biomass combustion at low temperature produces more oxygen-riched BrC,which possesses relatively lower light absorption,while at high temperature produces more aromatics hydrocarbons with relatively strong light *** results of this work are helpful to trace the source of brown carbon and optimize biomass energy utilization.

关键词： Biomass burning Combustion temperature Methanol-soluble brown carbon EEM Impinger

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Interregional compensation for farmland protection:From the perspective of farmland allocation optimization

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Journal of Geographical Sciences 2024年第7期34卷 1437-1454页

作者： YANG Bohan SHENG Siyu SHANGGUAN Ziheng KE Xinli school of Public Administration Central China Normal UniversityWuhan430079China school of business Hubei UniversityWuhan430000China College of Public Administration Huazhong Agricultural UniversityWuhan430070China

Interregional compensation for farmland protection(IRCFP)is a policy instrument for encouraging farmland protection through interregional fiscal transfer *** practices and studies on IRCFP have generally determined the payers and recipients of compensation based on the present distribution of farmland,and the compensation standards did not combine farmland development right value with farmland deficit and surplus,resulting in insignificant effects on farmland protection and even policy ***,in this study,we proposed an interregional compensation mechanism for farmland protection based on farmland allocation optimization by considering 31 provincial-level regions in *** results showed that(1)the determination of farmland surplus or deficit areas based on farmland allocation optimization met the regional construction land demand from the perspective of achieving food security.(2)The combination of the compensation value standard and cropland deficit and surplus had a positive effect on farmland protection.(3)Interregional compensation for farmland protection based on farmland allocation optimization can coordinate economic development,farmland protection,and ecological ***,we discussed the rationality of interregional compensation for farmland protection based on farmland allocation optimization and designed the operation mechanism of IRCFP.

关键词： interregional compensation farmland allocation optimization farmland protection land development rights China

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Intercultural Trust in Global Contexts:Synthesizing a Western Nomological Approach with a Chinese Systems Approach

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Journal of Systems Science and Systems Engineering 2024年第2期33卷 162-186页

作者： Rong Du Mingqian Li Shizhong Ai Cathal MacSwiney Brugha Uirike Reisach school of Economics and Management Xidian UniversityXi'an 710071China UCD school of business University College DublinDublinIreland Information Management Department Neu-Ulm University of Applied SciencesBavariaGermany

Intercultural trust in global contexts plays a central role in helping people from different cultures to communicate comfortably,which is essential for *** to construct a framework that might foster international cooperation,and thus be helpful for coping with global emergencies,we relate a Western nomological approach to an Eastern systems approach to analyse intercultural trust in global *** cultural impacts on intercultural trust and the nomological framework of cultural differences,we propose an intercultural trust model to interpret how cultural differences influence trust.A qualitative study of Chinese-Irish interactions was conducted to interpret this *** organized 10 seminars on intercultural trust,and interviewed 16 people to further explore the respondents'deeper feelings and experiences about intercultural trust in global *** this study,we have identified factors impacting on intercultural trust,and found that intercultural trust can be developed and improved in various *** llustrate these ways,we have provided tactics and methods for building intercultural trust in global *** are highlighted for organizations to avoid cultural clashes and relevant political or economic risks.

关键词： Intercultural trust global contexts systems approach Western approach Chinese approach

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Inference analysis of relationships between best linear minimum bias predictors under two transformed general linear models

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Acta Mathematica Sinica,English Series 2024年

作者： Bo JIANG Yongge TIAN College of Mathematics and Information Science and Yantai Key Laboratory of Big Data Modeling and Intelligent Computing Shandong Technology and Business University College of business and Economics Shanghai Business School

Regression models are often transformed into certain alternative forms in statistical inference theory. In this paper, we assume that a general linear model(GLM) is transformed into two different forms, and our aim is to study some comparison problems under the two transformed general linear models(TGLMs). We first construct a general vector composed of all unknown parameters under the two different TGLMs, derive exact expressions of best linear minimum bias predictors(BLMBPs)by solving a constrained quadratic matrix-valued function optimization problem in the L¨owner partial ordering, and describe a variety of mathematical and statistical properties and performances of the BLMBPs. We then approach some algebraic characterization problems concerning relationships between the BLMBPs under two different TGLMs. As applications, two specific cases are presented to illustrate the main main contributions in the study.

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A Deep Neural Collaborative Filtering Based Service Recommendation Method with Multi-Source Data for Smart Cloud-Edge Collaboration Applications

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Tsinghua Science and Technology 2024年第3期29卷 897-910页

作者： Wenmin Lin Min Zhu Xinyi Zhou Ruowei Zhang Xiaoran Zhao Shigen Shen Lu Sun Alibaba business school Hangzhou Normal UniversityHangzhou 311121China Blockchain Laboratory of Agricultural Vegetables Weifang University of Science and TechnologyShouguang 262700China school of Computer Science Qufu Normal UniversityRizhao 276827China school of Information Engineering Huzhou UniversityHuzhou 313000China

Service recommendation provides an effective solution to extract valuable information from the huge and ever-increasing volume of big data generated by the large cardinality of user ***,the distributed and rich multi-source big data resources raise challenges to the centralized cloud-based data storage and value mining approaches in terms of economic cost and effective service recommendation *** view of these challenges,we propose a deep neural collaborative filtering based service recommendation method with multi-source data(i.e.,NCF-MS)in this paper,which adopts the cloud-edge collaboration computing paradigm to build recommendation *** specifically,the Stacked Denoising Auto Encoder(SDAE)module is adopted to extract user/service features from auxiliary user profiles and service *** Multiple Layer Perceptron(MLP)module is adopted to integrate the auxiliary user/service features to train the recommendation ***,we evaluate the effectiveness of the NCF-MS method on three public *** experimental results show that our proposed method achieves better performance than existing methods.

关键词： deep neural collaborative filtering multi-source data cloud-edge collaboration application stackeddenoising auto encoder multiple layer perceptron

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