This study explored the role of job crafting and job embeddedness in the relationship between employee strengths use and thriving at work.Participants were 260 nurses from Beijing,China(99.2%female,54.6%aged 26–35 ye...This study explored the role of job crafting and job embeddedness in the relationship between employee strengths use and thriving at work.Participants were 260 nurses from Beijing,China(99.2%female,54.6%aged 26–35 years,and 62%with a bachelor’s degree or above).Data were collected at two different time points,with a two-week interval between them.Regression analysis and path analysis were applied to test the hypotheses.Results showed that strengths use was associated with thriving at work.Job crafting partially mediated this relationship for higher thriving at work.Job embeddedness weakened the relationship between strengths use and job crafting,and also lowered job crafting effects on work thriving.These findings provide insights into the mechanisms by which strengths use influences thriving at work,highlighting the significance of job crafting and job embeddedness.展开更多
Traceability system has received wide attention in solving food safety issues, via which food information could be tracked back to producer/farmers. Consumers need to obtain this information from producers or social n...Traceability system has received wide attention in solving food safety issues, via which food information could be tracked back to producer/farmers. Consumers need to obtain this information from producers or social networks, trust in the information,and consequently assess perceived risks, especially when food scandals are exposed to the media. In this study, we introduce the social embeddedness theory to understand how consumers’ social activities affect their risk perceptions on traceable food. Specifically, we investigate how risk perceptions are predicted by the interpersonal relationships, organizational level and social-level relationships. Results show that the interpersonal relationships were associated with lower levels of risk perceptions, while organizational and social relationships impacted consumer’s risk perceptions at middle and higher levels,respectively. Results also show that the "ripple effect" extended to effect of risk events with negative information, however,did not exist for the group exposed to positive information. Potential food safety implications have been proposed to identify for effective risk mitigation under media coverages.展开更多
Objective:This study aimed to review the relationship between job embeddedness and turnover intentions among nurses and explore the effects of the Job Embeddedness Scale,number of years in the career,education,and mar...Objective:This study aimed to review the relationship between job embeddedness and turnover intentions among nurses and explore the effects of the Job Embeddedness Scale,number of years in the career,education,and marital status on this relationship.Methods:The review was conducted by searching the China Knowledge Resource Integrated Database(CNKI),Weipu Database(CQVIP),China Biology Medicine(CBM),Wanfang Database,PubMed,Web of Science,Embase,CINAHL,and APA-PsycNet for articles on nurses’job embeddedness and turnover from intention up to March 2024.The research quality was evaluated using the Agency for Healthcare Research and Quality(AHRQ)assessment criteria.The review protocol has been registered on PROSPERO[CRD42023483947].Results:The results of this review included 47 studies consisting of 15,742 nurses from seven countries worldwide.A moderate negative correlation was found between job embeddedness and turnover intention(r=0.487).Furthermore,on-the-job embeddedness(r=0.527)was more negatively associated with turnover intention than off-the-job embeddedness(r=0.234).The highest negative correlation was found between sacrifice and turnover intention(r=0.460),while the lowest was for the link(r=0.185).Furthermore,the relationship between job embeddedness and its dimensions with turnover intention was affected by different job embeddedness scales,number of years in the career,education,and marital status(P<0.05).Conclusion:This systematic review and meta-analysis analyzed the relationships between nurses’job embeddedness,dimensions,and turnover intention.Meanwhile,subgroup analysis and meta-regression explored the factors influencing these relationships.It is an important reference for nurse managers to promote nurse retention.展开更多
Organizational learning capability is an important embodiment of the competitive advantage of enterprises in the era of knowledge economy. Based on the embeddedness theory,six factors are discussed that influence orga...Organizational learning capability is an important embodiment of the competitive advantage of enterprises in the era of knowledge economy. Based on the embeddedness theory,six factors are discussed that influence organizational learning capability from the perspective of knowledge embeddedness: employees embeddedness, tools embeddedness, tasks embeddedness,interpersonal relationship embeddedness, organizational culture embeddedness and network environment embeddedness. Combined with the survey data of textile and apparel manufacturing industry,the research proves the important function of knowledge embeddedness in the construction of organizational learning capability, and proposes three research countermeasures for industrial upgrading.展开更多
Rapidly emerged creative industries receive increasing attention from a variety of disciplines. However, the space features of creative industries and its association with local socio-cultural contexts have not been f...Rapidly emerged creative industries receive increasing attention from a variety of disciplines. However, the space features of creative industries and its association with local socio-cultural contexts have not been fully understood, especially at a micro-city level. This study attempts to understand the agglomeration of creative industries in Shanghai from the sociology perspective. For this study, this paper utilizes primarily a questionnaire survey to explain the space features of creative industries in Shanghai. The results indicate an extensive socio-cultural embeddedness of the agglomeration of creative industries in Shanghai. First, strong emphasis on face-to-face contacts by creative professionals makes geographical agglomeration necessary for creative industries. Second, the reason why inner city of Shanghai is popular among creative professionals and enterprises lies in the diversity of cultures and special environment of the former colonial zones of Shanghai. Additionally, highly concentrated dining and entertainment facilities in the central city of Shanghai offer creative workers social networking places and nightlife venues. Third, as the educational attainment of local citizens and the protection of intellectual property are highly stressed by creative professionals, research and design specialized creative industries are more likely located near universities and research institutes.展开更多
The current knowledge base lacks evidence about situational-and surface-level personality variables and their impacts on job embeddedness and proclivity to be absent from work.With this recognition,drawing from the hi...The current knowledge base lacks evidence about situational-and surface-level personality variables and their impacts on job embeddedness and proclivity to be absent from work.With this recognition,drawing from the hierarchical personality model and fit theory as well as job embeddedness theory,our paper explores the influences of job resourcefulness(JR)and customer orientation(CO)on job embeddedness and propensity to be absent from work.We tapped time-lagged data gathered from hotel customer-contact employees in the United Arab Emirates to assess the aforementioned linkages via structural equation modeling.CO is a complete mediator between JR and job embeddedness,while job embeddedness completely mediates the linkage between CO and absence intentions.Specifically,hotel employees who can work under a resource-depleted environment are high on CO and therefore display job embeddedness at elevated levels.In addition,customer-oriented hotel employees have higher job embeddedness and therefore exhibit lower absence intentions.展开更多
This paper develops a dynamic theoretical framework for global competitiveness, which describes the relationships among organizations in an industry cluster. The spiral for knowledge transfer, culture variables and em...This paper develops a dynamic theoretical framework for global competitiveness, which describes the relationships among organizations in an industry cluster. The spiral for knowledge transfer, culture variables and embeddedness influence knowledge transfer. Embeddedness and knowledge transfer are the key determinants of industry clusters that lead to global competitiveness. Industry clusters are characterized by external economies, generalized reciprocity and flexible specialization.展开更多
This study analyzes opportunity recognition and development from the perspective of job embeddedness based on entrepreneurial action of tech-entrepreneur. The impact of job embeddedness to entrepreneurial path choice ...This study analyzes opportunity recognition and development from the perspective of job embeddedness based on entrepreneurial action of tech-entrepreneur. The impact of job embeddedness to entrepreneurial path choice of tech-entrepreneur is tested by multi-case study. This paper also provides theoretic evidence to enhance the possibility of success of start-ups for entrepreneurs.展开更多
With the intensifying competition among cities in the Yangtze River Delta,talent has become a key strategic resource for urban development.However,many second-tier cities still face challenges in attracting and retain...With the intensifying competition among cities in the Yangtze River Delta,talent has become a key strategic resource for urban development.However,many second-tier cities still face challenges in attracting and retaining high-level talents.Taking Jinhua as a case study,this paper integrates urban amenity theory and social embeddedness theory to analyze the mechanisms influencing urban talent attraction.A comprehensive evaluation index system is constructed,including six dimensions:living environment,economic potential,government policies and public services,technological innovation,social embeddedness,and settlement cost.The entropy weight method is applied to determine the weights of the indicators and evaluate Jinhua’s talent attraction capacity.The results show that economic potential,technological innovation,and living environment play significant roles in attracting talents,while social embeddedness and settlement cost influence talent retention.Based on the findings,policy suggestions are proposed to improve urban livability,strengthen talent social networks,and optimize talent policies.This study enriches the analytical framework of urban talent attraction and provides policy implications for second-tier cities.展开更多
In the digital economy era,many manufacturing enterprises are leveraging digital service enterprises to enhance their digital innovation processes.This paper introduces the concept of“digital innovation network embed...In the digital economy era,many manufacturing enterprises are leveraging digital service enterprises to enhance their digital innovation processes.This paper introduces the concept of“digital innovation network embeddedness”to describe this trend.Unlike traditional strategic resources,which are constrained by high-value,relatively static,restricted flow,and exclusivity,digital resources demonstrate superior fluidity,non-rivalrous access,and high value-driven interdependencies.To bridge this theoretical gap,this study examines the distinctive attributes of digital resources through the dual lenses of resource orchestration theory and dynamic capability theory.Specifically,it proposes big data capability as a mediating mechanism and organizational structure flexibility as a critical moderating factor.Developing this integrated research framework aims to elucidate the underlying mechanisms through which digital innovation network embeddedness dynamically shapes new product development(NPD)performance.Ultimately,this study seeks to advance theoretical understanding and provide actionable insights for digitally empowered manufacturing enterprises to enhance their NPD outcomes.The framework is tested using data from 559 manufacturing enterprises located in South China.There are three findings.(1)An inverted U-shaped relationship exists between digital innovation network structure and NPD performance,and between relationship embeddedness and NPD performance,respectively.(2)Big data capability mediates the relationship between moderate levels of digital innovation network embeddedness and NPD performance.However,at high levels of digital innovation network embeddedness,big data capability does not significantly mediate the relationship between digital innovation network structure/relationship embeddedness and NPD performance,respectively.(3)Organizational structure flexibility positively moderates the relationship between digital innovation network relationship embeddedness,big data capability,and NPD performance.Moreover,while mediated moderation occurred,the direct moderation effect on digital innovation network embeddedness is nonsignificant.The conclusions of this study provide insights for manufacturing enterprises seeking to enhance NPD performance within the context of digital innovation network embeddedness.展开更多
In rural China,the trend of population aging and family hollowing is becoming increasingly severe.Traditional elderly care methods are no longer adequate to meet the growing demand for elderly care,leading to the emer...In rural China,the trend of population aging and family hollowing is becoming increasingly severe.Traditional elderly care methods are no longer adequate to meet the growing demand for elderly care,leading to the emergence of mutual-support elderly care as a new approach to elderly care.Mutual support has gained widespread practice and has become a vital component of the rural elderly service system.However,rural mutual-support elderly care encounters development bottlenecks,including local cultural resilience,disembedding of social relationships,gaps in policies and regulations,and multiple coordination challenges.Embeddedness theory emphasizes the need for social behavior to be embedded in the network of social connections,providing a valuable theoretical framework for mutual-support elderly care.Drawing on embeddedness theory,this paper investigates the accessibility of mutual-support elderly care in rural areas by examining cognitive embeddedness,relational embeddedness,systemic embeddedness,and structural embeddedness.By addressing the development bottlenecks of mutual-support elderly care in rural China,this paper aims to propose ideas for achieving high-quality development in rural mutual-support elderly care.展开更多
This paper explains the mechanism of R&D network formation based on a game model of network embeddedness.To describe the game relationship between a new member and an original R&D network,this game model is se...This paper explains the mechanism of R&D network formation based on a game model of network embeddedness.To describe the game relationship between a new member and an original R&D network,this game model is set up by introducing three factors:R&D efficiency of the new member,asymmetric information,and trust.By solving the game model,this paper analyzes their impact on the level of embeddedness and transaction cost within the Network.Study results show that,during the formation of an R&D network,low efficiency and asymmetric information will do harm to the level of embeddedness and raise the transaction cost,while trust will have a complicated impact on them because of the probability of misplaced-trust.展开更多
Against the backdrop of China's socio-economic transition, there is a growing imperative to examine neighborhood renovation initiatives in addressing the emerging needs of residents. Developing Granovetter's c...Against the backdrop of China's socio-economic transition, there is a growing imperative to examine neighborhood renovation initiatives in addressing the emerging needs of residents. Developing Granovetter's classic work on embeddedness, this paper proposes a conceptual framework of spatial embeddedness to understand changes in the physical space brought about by neighborhood renovation, in order to explore how it affects residents' satisfaction in a dynamic temporal and spatial process. It presents whether and why residents' real feelings produced from their interaction with neighborhood renovation are(un)different, and how their feelings are shaped based on six months of fieldwork in a danwei neighborhood in Xi'an, China. The paper conceptualizes the relationship between the neighborhood space and embeddedness by adopting spatial embeddedness to capture the interplay of temporal, spatial, and social factors in the process of danwei neighborhood renovation. This framework not only integrates multiple perspectives and scales, but also reflects different levels of residents' satisfaction, trying to establish a connection between the abstract space and the renovation space. It suggests that spatial embeddedness should be considered as a response to the negative social impacts resulting from changes in the physical space in neighborhood renovation.展开更多
Embedded printing is a highly promising approach for creating complex structures within a yield-stress support bath.However,the accurate prediction and control of printability remain fundamental challenges due to the ...Embedded printing is a highly promising approach for creating complex structures within a yield-stress support bath.However,the accurate prediction and control of printability remain fundamental challenges due to the complex interactions between inks and support baths.Here,we present an artificial intelligence(AI)-driven framework that interprets and predicts embedded printability using rheological data.Using a standardized workflow,we extracted 21 rheological descriptors and established 12 indicators to evaluate structural continuity and geometric fidelity.Interpretable machine learning models revealed that direction-dependent defects are governed by the synergistic interplay among ink yield stress,support bath zero shear viscosity,flow behavior index,and time constant.To enable the prediction of printability in a generalizable manner,we further developed a cascaded neural network,which achieved mean relative prediction errors below 15%across all indicators.Experimental validation using three-dimensional(3 D)-printed constructs and micro-computed tomography(μCT)reconstructions confirmed a strong correlation between predicted and actual fidelity.This work establishes a physics-informed,data-driven paradigm for decoding and optimizing embedded printing,offering broad applicability and providing a robust tool for the rapid pairing of suitable printable ink-support bath combinations.展开更多
Unmanned aerial vehicles(UAVs),especially quadcopters,have become indispensable in numerous industrial and scientific applications due to their flexibility,lowcost,and capability to operate in dynamic environments.Thi...Unmanned aerial vehicles(UAVs),especially quadcopters,have become indispensable in numerous industrial and scientific applications due to their flexibility,lowcost,and capability to operate in dynamic environments.This paper presents a complete design and implementation of a compact autonomous quadcopter capable of trajectory tracking,object detection,precision landing,and real-time telemetry via long-range communication protocols.The system integrates an onboard flight controller running real-time sensor fusion algorithms,a vision-based detection system on a companion single-board computer,and a telemetry unit using Long Range(LoRa)communication.Extensive flight tests were conducted to validate the system’s stability,communication range,and autonomous capabilities.Potential applications in law enforcement,agriculture,search and rescue,and environmental monitoring are also discussed.展开更多
To address the challenges of complexity,power consumption,and cost constraints in traditional display driver integrated circuits(DDICs)caused by external NOR Flash and SRAM,this work proposes an embedded resistive ran...To address the challenges of complexity,power consumption,and cost constraints in traditional display driver integrated circuits(DDICs)caused by external NOR Flash and SRAM,this work proposes an embedded resistive random-access memory(RRAM)integration solution based on a 40 nm high-voltage CMOS logic platform.Targeting the yield fluctuations and stability challenges during RRAM mass production,systematic process optimizations are implemented to achieve synergistic improvements in RRAM performance and yield.Through modifications to the film sputtering and pre-deposition treatment,the withinwafer resistance uniformity(RSU)of the oxygen-deficient layer(ODL)thin film is improved from 11%to 8%,while inter-wafer process stability variation reduces from 23%to below 6%.Consequently,the yield of 8 Mb RRAM embedded mass production products increases from 87%to 98.5%.In terms of device performance,the RRAM demonstrates a fast 4.8 ns read speed,exceptional read disturb immunity of 3×10^(8) cycles at 95℃,10^(3) write/erase endurance cycles for the 1 Mb cells,and data retention of 12.5 years at 125℃.Post high-temperature operating life(HTOL)testing exhibits stable high/low resistance window.This study provides process optimization strategies and a reliability assurance framework for the mass production of highly integrated,low-power embedded RRAM display driver IC.展开更多
Anomaly detection is a vibrant research direction in controller area networks,which provides the fundamental real-time data transmission underpinning in-vehicle data interaction for the internet of vehicles.However,ex...Anomaly detection is a vibrant research direction in controller area networks,which provides the fundamental real-time data transmission underpinning in-vehicle data interaction for the internet of vehicles.However,existing unsupervised learning methods suffer from insufficient temporal and spatial constraints on shallow features,resulting in fragmented feature representations that compromise model stability and accuracy.To improve the extraction of valuable features,this paper investigates the influence of clustering constraints on shallow feature convergence paths at the model level and further proposes an end-to-end intrusion detection system based on efficient deep embedded subspace clustering(EDESC-IDS).Following the standard learning approach,continuous messages are encoded into two-dimensional data frames via a frame builder,which are then input into an extended convolutional autoencoder for extracting shallow features from high-dimensional data.On this basis,the dual constraints of these output features and the embedding clustering module facilitate end-to-end training of the EDESC-IDS in various attack scenarios.Extensive experimental results show that such a system exhibits significant detection performance on four types of attack datasets,including DoS,Gear,Fuzzy,and RPM,with precision,recall,and F1 scores consistently above 97.79%,while maintaining a false negative rate(FNR)and an error rate(ER)below 2.22%.展开更多
This paper presents an optimal operation method for embedded DC interconnections based on low-voltage AC/DC distribution areas(EDC-LVDA)under three-phase unbalanced compensation conditions.It can optimally determine t...This paper presents an optimal operation method for embedded DC interconnections based on low-voltage AC/DC distribution areas(EDC-LVDA)under three-phase unbalanced compensation conditions.It can optimally determine the transmission power of the DC and AC paths to simultaneously improve voltage quality and reduce losses.First,considering the embedded interconnected,unbalanced power structure of the distribution area,a power flow calculation method for EDC-LVDA that accounts for three-phase unbalanced compensation is introduced.This method accurately describes the power flow distribution characteristics under both AC and DC power allocation scenarios.Second,an optimization scheduling model for EDC-LVDA under three-phase unbalanced conditions is developed,incorporating network losses,voltage quality,DC link losses,and unbalance levels.The proposed model employs an improved particle swarm optimization(IPSO)two-layer algorithm to autonomously select different power allocation coefficients for the DC link and AC section under various operating conditions.This enables embedded economic optimization scheduling while maintaining compensation for unbalanced conditions.Finally,a case study based on the IEEE 13-node system for EDC-LVDA is conducted and tested.The results show that the proposed optimal operation method achieves a 100%voltage compliance rate and reduces network losses by 13.8%,while ensuring three-phase power balance compensation.This provides a practical solution for the modernization and upgrading of low-voltage power grids.展开更多
Dear Editor,The letter proposes a tensor low-rank orthogonal compression(TLOC)model for a convolutional neural network(CNN),which facilitates its efficient and highly-accurate low-rank representation.Model compression...Dear Editor,The letter proposes a tensor low-rank orthogonal compression(TLOC)model for a convolutional neural network(CNN),which facilitates its efficient and highly-accurate low-rank representation.Model compression is crucial for deploying deep neural network(DNN)models on resource-constrained embedded devices.展开更多
This study investigates the characteristics and changing trends of the migrant popu-lation in the Inner Mongolia Autonomous Region,a typical ethnic minority area in China,based on China Migrants Dynamic Survey in 2013...This study investigates the characteristics and changing trends of the migrant popu-lation in the Inner Mongolia Autonomous Region,a typical ethnic minority area in China,based on China Migrants Dynamic Survey in 2013 and 2017,supplemented by the 2020 national population census data.Findings reveal narrowing differences between Han and ethnic minority migrants,with most migration occurring within the region.The ethnic diversity of the migrant population in Inner Mongolia has increased,while the living spaces of multiple ethnic groups have become more intertwined.Economic integration has deepened,while cultural integration advan-tages persist.Accepting attitudes toward social integration continue to grow,reflect-ing population mobility’s role in promoting multidimensional ethnic embeddedness in the new era.This comparative analysis provides insights into the multifaceted nature of ethnic embeddedness amid population mobility.展开更多
基金This study received funding from the Youth Project of Humanities and Social Sciences Research at Guizhou University(No.GDQN2022010)the Zhiyuan Science Foundation at Beijing Institute of Petrochemical Technology(No.BIPTCSF-2023012)the URT Program for Undergraduate Research and Training at Beijing Institute of Petrochemical Technology(No.2024J00263).
文摘This study explored the role of job crafting and job embeddedness in the relationship between employee strengths use and thriving at work.Participants were 260 nurses from Beijing,China(99.2%female,54.6%aged 26–35 years,and 62%with a bachelor’s degree or above).Data were collected at two different time points,with a two-week interval between them.Regression analysis and path analysis were applied to test the hypotheses.Results showed that strengths use was associated with thriving at work.Job crafting partially mediated this relationship for higher thriving at work.Job embeddedness weakened the relationship between strengths use and job crafting,and also lowered job crafting effects on work thriving.These findings provide insights into the mechanisms by which strengths use influences thriving at work,highlighting the significance of job crafting and job embeddedness.
基金support from the National Natural Science Foundation of China (71773109, 71703150 and 71633002)the support from the Fundamental Research Funds for the Central Universities, China
文摘Traceability system has received wide attention in solving food safety issues, via which food information could be tracked back to producer/farmers. Consumers need to obtain this information from producers or social networks, trust in the information,and consequently assess perceived risks, especially when food scandals are exposed to the media. In this study, we introduce the social embeddedness theory to understand how consumers’ social activities affect their risk perceptions on traceable food. Specifically, we investigate how risk perceptions are predicted by the interpersonal relationships, organizational level and social-level relationships. Results show that the interpersonal relationships were associated with lower levels of risk perceptions, while organizational and social relationships impacted consumer’s risk perceptions at middle and higher levels,respectively. Results also show that the "ripple effect" extended to effect of risk events with negative information, however,did not exist for the group exposed to positive information. Potential food safety implications have been proposed to identify for effective risk mitigation under media coverages.
基金sponsor from the Academic Research Funding of Macao Polytechnic University(Grant number RP/AE-06/2022).
文摘Objective:This study aimed to review the relationship between job embeddedness and turnover intentions among nurses and explore the effects of the Job Embeddedness Scale,number of years in the career,education,and marital status on this relationship.Methods:The review was conducted by searching the China Knowledge Resource Integrated Database(CNKI),Weipu Database(CQVIP),China Biology Medicine(CBM),Wanfang Database,PubMed,Web of Science,Embase,CINAHL,and APA-PsycNet for articles on nurses’job embeddedness and turnover from intention up to March 2024.The research quality was evaluated using the Agency for Healthcare Research and Quality(AHRQ)assessment criteria.The review protocol has been registered on PROSPERO[CRD42023483947].Results:The results of this review included 47 studies consisting of 15,742 nurses from seven countries worldwide.A moderate negative correlation was found between job embeddedness and turnover intention(r=0.487).Furthermore,on-the-job embeddedness(r=0.527)was more negatively associated with turnover intention than off-the-job embeddedness(r=0.234).The highest negative correlation was found between sacrifice and turnover intention(r=0.460),while the lowest was for the link(r=0.185).Furthermore,the relationship between job embeddedness and its dimensions with turnover intention was affected by different job embeddedness scales,number of years in the career,education,and marital status(P<0.05).Conclusion:This systematic review and meta-analysis analyzed the relationships between nurses’job embeddedness,dimensions,and turnover intention.Meanwhile,subgroup analysis and meta-regression explored the factors influencing these relationships.It is an important reference for nurse managers to promote nurse retention.
基金the Fundamental Research Funds for the Central Universities,China(No.17D111004)
文摘Organizational learning capability is an important embodiment of the competitive advantage of enterprises in the era of knowledge economy. Based on the embeddedness theory,six factors are discussed that influence organizational learning capability from the perspective of knowledge embeddedness: employees embeddedness, tools embeddedness, tasks embeddedness,interpersonal relationship embeddedness, organizational culture embeddedness and network environment embeddedness. Combined with the survey data of textile and apparel manufacturing industry,the research proves the important function of knowledge embeddedness in the construction of organizational learning capability, and proposes three research countermeasures for industrial upgrading.
文摘Rapidly emerged creative industries receive increasing attention from a variety of disciplines. However, the space features of creative industries and its association with local socio-cultural contexts have not been fully understood, especially at a micro-city level. This study attempts to understand the agglomeration of creative industries in Shanghai from the sociology perspective. For this study, this paper utilizes primarily a questionnaire survey to explain the space features of creative industries in Shanghai. The results indicate an extensive socio-cultural embeddedness of the agglomeration of creative industries in Shanghai. First, strong emphasis on face-to-face contacts by creative professionals makes geographical agglomeration necessary for creative industries. Second, the reason why inner city of Shanghai is popular among creative professionals and enterprises lies in the diversity of cultures and special environment of the former colonial zones of Shanghai. Additionally, highly concentrated dining and entertainment facilities in the central city of Shanghai offer creative workers social networking places and nightlife venues. Third, as the educational attainment of local citizens and the protection of intellectual property are highly stressed by creative professionals, research and design specialized creative industries are more likely located near universities and research institutes.
文摘The current knowledge base lacks evidence about situational-and surface-level personality variables and their impacts on job embeddedness and proclivity to be absent from work.With this recognition,drawing from the hierarchical personality model and fit theory as well as job embeddedness theory,our paper explores the influences of job resourcefulness(JR)and customer orientation(CO)on job embeddedness and propensity to be absent from work.We tapped time-lagged data gathered from hotel customer-contact employees in the United Arab Emirates to assess the aforementioned linkages via structural equation modeling.CO is a complete mediator between JR and job embeddedness,while job embeddedness completely mediates the linkage between CO and absence intentions.Specifically,hotel employees who can work under a resource-depleted environment are high on CO and therefore display job embeddedness at elevated levels.In addition,customer-oriented hotel employees have higher job embeddedness and therefore exhibit lower absence intentions.
文摘This paper develops a dynamic theoretical framework for global competitiveness, which describes the relationships among organizations in an industry cluster. The spiral for knowledge transfer, culture variables and embeddedness influence knowledge transfer. Embeddedness and knowledge transfer are the key determinants of industry clusters that lead to global competitiveness. Industry clusters are characterized by external economies, generalized reciprocity and flexible specialization.
基金supported by SHANNXI Social Science Foundation(10Q067)Ministry of Education Social Science and Humanities Foundation(12YJA630187)High Education Research Fund of Northwestern Polytechnical University(2014)
文摘This study analyzes opportunity recognition and development from the perspective of job embeddedness based on entrepreneurial action of tech-entrepreneur. The impact of job embeddedness to entrepreneurial path choice of tech-entrepreneur is tested by multi-case study. This paper also provides theoretic evidence to enhance the possibility of success of start-ups for entrepreneurs.
基金Jinhua Association for Science and Technology(Project No.:2025-27)。
文摘With the intensifying competition among cities in the Yangtze River Delta,talent has become a key strategic resource for urban development.However,many second-tier cities still face challenges in attracting and retaining high-level talents.Taking Jinhua as a case study,this paper integrates urban amenity theory and social embeddedness theory to analyze the mechanisms influencing urban talent attraction.A comprehensive evaluation index system is constructed,including six dimensions:living environment,economic potential,government policies and public services,technological innovation,social embeddedness,and settlement cost.The entropy weight method is applied to determine the weights of the indicators and evaluate Jinhua’s talent attraction capacity.The results show that economic potential,technological innovation,and living environment play significant roles in attracting talents,while social embeddedness and settlement cost influence talent retention.Based on the findings,policy suggestions are proposed to improve urban livability,strengthen talent social networks,and optimize talent policies.This study enriches the analytical framework of urban talent attraction and provides policy implications for second-tier cities.
基金supported by the Post-Funded Project of the National Social Science Fund of China(No.23FGLB088)the General Project of the National Natural Science Foundation of China(No.71974059)+2 种基金the Ministry of Education in China Liberal Arts and Social Sciences Foundation(No.23YJA630124)the Development of Philosophy and Social Sciences in Guangzhou in 2021(No.2021GZYB12)the Guangdong Basic and Applied Basic Research Foundation(No.2024A1515030110).
文摘In the digital economy era,many manufacturing enterprises are leveraging digital service enterprises to enhance their digital innovation processes.This paper introduces the concept of“digital innovation network embeddedness”to describe this trend.Unlike traditional strategic resources,which are constrained by high-value,relatively static,restricted flow,and exclusivity,digital resources demonstrate superior fluidity,non-rivalrous access,and high value-driven interdependencies.To bridge this theoretical gap,this study examines the distinctive attributes of digital resources through the dual lenses of resource orchestration theory and dynamic capability theory.Specifically,it proposes big data capability as a mediating mechanism and organizational structure flexibility as a critical moderating factor.Developing this integrated research framework aims to elucidate the underlying mechanisms through which digital innovation network embeddedness dynamically shapes new product development(NPD)performance.Ultimately,this study seeks to advance theoretical understanding and provide actionable insights for digitally empowered manufacturing enterprises to enhance their NPD outcomes.The framework is tested using data from 559 manufacturing enterprises located in South China.There are three findings.(1)An inverted U-shaped relationship exists between digital innovation network structure and NPD performance,and between relationship embeddedness and NPD performance,respectively.(2)Big data capability mediates the relationship between moderate levels of digital innovation network embeddedness and NPD performance.However,at high levels of digital innovation network embeddedness,big data capability does not significantly mediate the relationship between digital innovation network structure/relationship embeddedness and NPD performance,respectively.(3)Organizational structure flexibility positively moderates the relationship between digital innovation network relationship embeddedness,big data capability,and NPD performance.Moreover,while mediated moderation occurred,the direct moderation effect on digital innovation network embeddedness is nonsignificant.The conclusions of this study provide insights for manufacturing enterprises seeking to enhance NPD performance within the context of digital innovation network embeddedness.
基金supported by the General Project of National Social Sciences Fund of China (No.20BZZ042)Heilongjiang Province Philosophy and Social Science Research Program (No.23RKD136)。
文摘In rural China,the trend of population aging and family hollowing is becoming increasingly severe.Traditional elderly care methods are no longer adequate to meet the growing demand for elderly care,leading to the emergence of mutual-support elderly care as a new approach to elderly care.Mutual support has gained widespread practice and has become a vital component of the rural elderly service system.However,rural mutual-support elderly care encounters development bottlenecks,including local cultural resilience,disembedding of social relationships,gaps in policies and regulations,and multiple coordination challenges.Embeddedness theory emphasizes the need for social behavior to be embedded in the network of social connections,providing a valuable theoretical framework for mutual-support elderly care.Drawing on embeddedness theory,this paper investigates the accessibility of mutual-support elderly care in rural areas by examining cognitive embeddedness,relational embeddedness,systemic embeddedness,and structural embeddedness.By addressing the development bottlenecks of mutual-support elderly care in rural China,this paper aims to propose ideas for achieving high-quality development in rural mutual-support elderly care.
基金This work was supported by National Natural Science Foundation of China[grant number 71132006].
文摘This paper explains the mechanism of R&D network formation based on a game model of network embeddedness.To describe the game relationship between a new member and an original R&D network,this game model is set up by introducing three factors:R&D efficiency of the new member,asymmetric information,and trust.By solving the game model,this paper analyzes their impact on the level of embeddedness and transaction cost within the Network.Study results show that,during the formation of an R&D network,low efficiency and asymmetric information will do harm to the level of embeddedness and raise the transaction cost,while trust will have a complicated impact on them because of the probability of misplaced-trust.
基金supported by the National Natural Science Foundation of China (Nos. 7227419742371238)。
文摘Against the backdrop of China's socio-economic transition, there is a growing imperative to examine neighborhood renovation initiatives in addressing the emerging needs of residents. Developing Granovetter's classic work on embeddedness, this paper proposes a conceptual framework of spatial embeddedness to understand changes in the physical space brought about by neighborhood renovation, in order to explore how it affects residents' satisfaction in a dynamic temporal and spatial process. It presents whether and why residents' real feelings produced from their interaction with neighborhood renovation are(un)different, and how their feelings are shaped based on six months of fieldwork in a danwei neighborhood in Xi'an, China. The paper conceptualizes the relationship between the neighborhood space and embeddedness by adopting spatial embeddedness to capture the interplay of temporal, spatial, and social factors in the process of danwei neighborhood renovation. This framework not only integrates multiple perspectives and scales, but also reflects different levels of residents' satisfaction, trying to establish a connection between the abstract space and the renovation space. It suggests that spatial embeddedness should be considered as a response to the negative social impacts resulting from changes in the physical space in neighborhood renovation.
基金supported by the National Natural Science Foundation of China(Nos.52305314 and U21A20394)the Beijing Natural Science Foundation(Nos.7252285 and L246001)the National Key Research and Development Program of China(No.2023YFB4605800)。
文摘Embedded printing is a highly promising approach for creating complex structures within a yield-stress support bath.However,the accurate prediction and control of printability remain fundamental challenges due to the complex interactions between inks and support baths.Here,we present an artificial intelligence(AI)-driven framework that interprets and predicts embedded printability using rheological data.Using a standardized workflow,we extracted 21 rheological descriptors and established 12 indicators to evaluate structural continuity and geometric fidelity.Interpretable machine learning models revealed that direction-dependent defects are governed by the synergistic interplay among ink yield stress,support bath zero shear viscosity,flow behavior index,and time constant.To enable the prediction of printability in a generalizable manner,we further developed a cascaded neural network,which achieved mean relative prediction errors below 15%across all indicators.Experimental validation using three-dimensional(3 D)-printed constructs and micro-computed tomography(μCT)reconstructions confirmed a strong correlation between predicted and actual fidelity.This work establishes a physics-informed,data-driven paradigm for decoding and optimizing embedded printing,offering broad applicability and providing a robust tool for the rapid pairing of suitable printable ink-support bath combinations.
文摘Unmanned aerial vehicles(UAVs),especially quadcopters,have become indispensable in numerous industrial and scientific applications due to their flexibility,lowcost,and capability to operate in dynamic environments.This paper presents a complete design and implementation of a compact autonomous quadcopter capable of trajectory tracking,object detection,precision landing,and real-time telemetry via long-range communication protocols.The system integrates an onboard flight controller running real-time sensor fusion algorithms,a vision-based detection system on a companion single-board computer,and a telemetry unit using Long Range(LoRa)communication.Extensive flight tests were conducted to validate the system’s stability,communication range,and autonomous capabilities.Potential applications in law enforcement,agriculture,search and rescue,and environmental monitoring are also discussed.
文摘To address the challenges of complexity,power consumption,and cost constraints in traditional display driver integrated circuits(DDICs)caused by external NOR Flash and SRAM,this work proposes an embedded resistive random-access memory(RRAM)integration solution based on a 40 nm high-voltage CMOS logic platform.Targeting the yield fluctuations and stability challenges during RRAM mass production,systematic process optimizations are implemented to achieve synergistic improvements in RRAM performance and yield.Through modifications to the film sputtering and pre-deposition treatment,the withinwafer resistance uniformity(RSU)of the oxygen-deficient layer(ODL)thin film is improved from 11%to 8%,while inter-wafer process stability variation reduces from 23%to below 6%.Consequently,the yield of 8 Mb RRAM embedded mass production products increases from 87%to 98.5%.In terms of device performance,the RRAM demonstrates a fast 4.8 ns read speed,exceptional read disturb immunity of 3×10^(8) cycles at 95℃,10^(3) write/erase endurance cycles for the 1 Mb cells,and data retention of 12.5 years at 125℃.Post high-temperature operating life(HTOL)testing exhibits stable high/low resistance window.This study provides process optimization strategies and a reliability assurance framework for the mass production of highly integrated,low-power embedded RRAM display driver IC.
基金supported by the National Natural Science Foundation of China(Grant No.62172292).
文摘Anomaly detection is a vibrant research direction in controller area networks,which provides the fundamental real-time data transmission underpinning in-vehicle data interaction for the internet of vehicles.However,existing unsupervised learning methods suffer from insufficient temporal and spatial constraints on shallow features,resulting in fragmented feature representations that compromise model stability and accuracy.To improve the extraction of valuable features,this paper investigates the influence of clustering constraints on shallow feature convergence paths at the model level and further proposes an end-to-end intrusion detection system based on efficient deep embedded subspace clustering(EDESC-IDS).Following the standard learning approach,continuous messages are encoded into two-dimensional data frames via a frame builder,which are then input into an extended convolutional autoencoder for extracting shallow features from high-dimensional data.On this basis,the dual constraints of these output features and the embedding clustering module facilitate end-to-end training of the EDESC-IDS in various attack scenarios.Extensive experimental results show that such a system exhibits significant detection performance on four types of attack datasets,including DoS,Gear,Fuzzy,and RPM,with precision,recall,and F1 scores consistently above 97.79%,while maintaining a false negative rate(FNR)and an error rate(ER)below 2.22%.
基金supported by the key technology project of China Southern Power Grid Corporation(GZKJXM20220041)partly by the National Key Research and Development Plan(2022YFE0205300).
文摘This paper presents an optimal operation method for embedded DC interconnections based on low-voltage AC/DC distribution areas(EDC-LVDA)under three-phase unbalanced compensation conditions.It can optimally determine the transmission power of the DC and AC paths to simultaneously improve voltage quality and reduce losses.First,considering the embedded interconnected,unbalanced power structure of the distribution area,a power flow calculation method for EDC-LVDA that accounts for three-phase unbalanced compensation is introduced.This method accurately describes the power flow distribution characteristics under both AC and DC power allocation scenarios.Second,an optimization scheduling model for EDC-LVDA under three-phase unbalanced conditions is developed,incorporating network losses,voltage quality,DC link losses,and unbalance levels.The proposed model employs an improved particle swarm optimization(IPSO)two-layer algorithm to autonomously select different power allocation coefficients for the DC link and AC section under various operating conditions.This enables embedded economic optimization scheduling while maintaining compensation for unbalanced conditions.Finally,a case study based on the IEEE 13-node system for EDC-LVDA is conducted and tested.The results show that the proposed optimal operation method achieves a 100%voltage compliance rate and reduces network losses by 13.8%,while ensuring three-phase power balance compensation.This provides a practical solution for the modernization and upgrading of low-voltage power grids.
基金supported by the Science and Technology Innovation Key R&D Program of Chongqing(CSTB2025TIAD-STX0032)National Key Research and Development Program of China(2024YFF0908200)+1 种基金the Chongqing Technology Innovation and Application Development Special Key Project(CSTB2024TIAD-KPX0018)the Southwest University Graduate Student Research Innovation(SWUB24051)。
文摘Dear Editor,The letter proposes a tensor low-rank orthogonal compression(TLOC)model for a convolutional neural network(CNN),which facilitates its efficient and highly-accurate low-rank representation.Model compression is crucial for deploying deep neural network(DNN)models on resource-constrained embedded devices.
文摘This study investigates the characteristics and changing trends of the migrant popu-lation in the Inner Mongolia Autonomous Region,a typical ethnic minority area in China,based on China Migrants Dynamic Survey in 2013 and 2017,supplemented by the 2020 national population census data.Findings reveal narrowing differences between Han and ethnic minority migrants,with most migration occurring within the region.The ethnic diversity of the migrant population in Inner Mongolia has increased,while the living spaces of multiple ethnic groups have become more intertwined.Economic integration has deepened,while cultural integration advan-tages persist.Accepting attitudes toward social integration continue to grow,reflect-ing population mobility’s role in promoting multidimensional ethnic embeddedness in the new era.This comparative analysis provides insights into the multifaceted nature of ethnic embeddedness amid population mobility.
