Bin Wang, Lianggui Zhang, Ding-Yuan Wang, Guoliang Jiang
Green innovation development is essential to achieve “carbon neutrality and carbon peaking” and drive sustainable urban growth, which greatly influences the global green economy. This paper probes into the influence of e-commerce on urban green innovation and its mechanism using a multi-period double difference model. The authors examine the heterogeneous impact of e-commerce on urban green innovation under various urban characteristics. The study reveals that e-commerce development enhances urban entrepreneurial vitality, promotes investment agglomeration, and fosters favorable social conditions and sufficient financial guarantees for green innovation development. E-commerce development's promotion effect shows a “U-shaped” trend as the extent of urban green innovation increases. Additionally, the impact of e-commerce development on urban green innovation is highly dependent on its resource endowments. Therefore, we should focus on the empowering effect of e-commerce development on green innovation to provide new growth opportunities for the green economy.
{"title":"The Impact of E-Commerce on Urban Green Innovation Development","authors":"Bin Wang, Lianggui Zhang, Ding-Yuan Wang, Guoliang Jiang","doi":"10.4018/joeuc.326049","DOIUrl":"https://doi.org/10.4018/joeuc.326049","url":null,"abstract":"Green innovation development is essential to achieve “carbon neutrality and carbon peaking” and drive sustainable urban growth, which greatly influences the global green economy. This paper probes into the influence of e-commerce on urban green innovation and its mechanism using a multi-period double difference model. The authors examine the heterogeneous impact of e-commerce on urban green innovation under various urban characteristics. The study reveals that e-commerce development enhances urban entrepreneurial vitality, promotes investment agglomeration, and fosters favorable social conditions and sufficient financial guarantees for green innovation development. E-commerce development's promotion effect shows a “U-shaped” trend as the extent of urban green innovation increases. Additionally, the impact of e-commerce development on urban green innovation is highly dependent on its resource endowments. Therefore, we should focus on the empowering effect of e-commerce development on green innovation to provide new growth opportunities for the green economy.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47985874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article investigates how Renqing and the system affect employees' work quality in Chinese culture. The leader-employee matching questionnaires were gathered using data from businesses in China's Beijing, Shanghai, Guangdong, Jiangxi, and Yunnan provinces. The article then uses an empirical analytic method to analyze the data. It uses SPSS25.0 software to process data. The results indicate that the three dimensions of emotion relationship, resource relationship, and norm relationship have an equal impact on the quality of work enjoyment; the system has no substantial effect on employees' work quality, but it regulates the impact of Renqing on work quality. If a Chinese company wants employees that produce high-quality work, the article's conclusions suggest that Renqing should be considered. In the meantime, the company should increase its efforts to improve the efficiency of its system.
{"title":"Differential Effects of Renqing and System on Employee Work Quality","authors":"Bijun Xie, S. L. Ngan, Min Li, Fangbin Xiao","doi":"10.4018/joeuc.325507","DOIUrl":"https://doi.org/10.4018/joeuc.325507","url":null,"abstract":"This article investigates how Renqing and the system affect employees' work quality in Chinese culture. The leader-employee matching questionnaires were gathered using data from businesses in China's Beijing, Shanghai, Guangdong, Jiangxi, and Yunnan provinces. The article then uses an empirical analytic method to analyze the data. It uses SPSS25.0 software to process data. The results indicate that the three dimensions of emotion relationship, resource relationship, and norm relationship have an equal impact on the quality of work enjoyment; the system has no substantial effect on employees' work quality, but it regulates the impact of Renqing on work quality. If a Chinese company wants employees that produce high-quality work, the article's conclusions suggest that Renqing should be considered. In the meantime, the company should increase its efforts to improve the efficiency of its system.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43219904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper aims to analyze the predictive effect of artificial intelligence on user demand in big data social media and to provide suggestions for developing enterprise innovation frameworks and implementing marketing strategies. In response to the inconsistency between the supply of enterprise products and services and market demand, deep learning algorithms have been introduced using social media big data analysis. This algorithm has been improved to construct a user demand prediction model in social media big data based on bidirectional long short-term memory (BiLSTM) fused with Word2Vec. The model uses data acquisition and pre-processing, Word2Vec algorithm to vectorization the data information, and BiLSTM network to model and train the sequence. Finally, the model is evaluated as an example.
{"title":"The Social Media Big Data Analysis for Demand Forecasting in the Context of Globalization: Development and Case Implementation of Innovative Frameworks","authors":"Yifang Gao, Junwei Wang, Zhi Li, Zengjun Peng","doi":"10.4018/joeuc.325217","DOIUrl":"https://doi.org/10.4018/joeuc.325217","url":null,"abstract":"This paper aims to analyze the predictive effect of artificial intelligence on user demand in big data social media and to provide suggestions for developing enterprise innovation frameworks and implementing marketing strategies. In response to the inconsistency between the supply of enterprise products and services and market demand, deep learning algorithms have been introduced using social media big data analysis. This algorithm has been improved to construct a user demand prediction model in social media big data based on bidirectional long short-term memory (BiLSTM) fused with Word2Vec. The model uses data acquisition and pre-processing, Word2Vec algorithm to vectorization the data information, and BiLSTM network to model and train the sequence. Finally, the model is evaluated as an example.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"21 1","pages":"1-15"},"PeriodicalIF":6.5,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75884386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiaoyi Zhang, Xinying He, Xiaomin Du, Ao Zhang, Yueqi Dong
The integration of big data analytics with effective supply chain practices based on dynamic capability theory is an emerging topic, and the relationship that exists between big data analytics and supply chain dynamic capabilities and supply chain practices, and their impact on supply chain performance, requires further research. This article examines the relationship between three supply chain practices and supply chain performance. The information provided by managers of 415 companies in China was used as a sample and the data collected was empirically tested using partial least squares structural equation modelling. The findings show that different supply chain practices have a positive impact on supply chain dynamic capability and supply chain performance, that supply chain dynamic capability has an indirect mediating effect, and that big data analysis has a positive moderating effect on the relationship between supply chain practices and supply chain performance.
{"title":"Supply Chain Practices, Dynamic Capabilities, and Performance: The Moderating Role of Big Data Analytics","authors":"Xiaoyi Zhang, Xinying He, Xiaomin Du, Ao Zhang, Yueqi Dong","doi":"10.4018/joeuc.325214","DOIUrl":"https://doi.org/10.4018/joeuc.325214","url":null,"abstract":"The integration of big data analytics with effective supply chain practices based on dynamic capability theory is an emerging topic, and the relationship that exists between big data analytics and supply chain dynamic capabilities and supply chain practices, and their impact on supply chain performance, requires further research. This article examines the relationship between three supply chain practices and supply chain performance. The information provided by managers of 415 companies in China was used as a sample and the data collected was empirically tested using partial least squares structural equation modelling. The findings show that different supply chain practices have a positive impact on supply chain dynamic capability and supply chain performance, that supply chain dynamic capability has an indirect mediating effect, and that big data analysis has a positive moderating effect on the relationship between supply chain practices and supply chain performance.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"48 1","pages":"1-26"},"PeriodicalIF":6.5,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76106306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As a new form of agricultural organization, agro-industrialized unions (AIUs) have shown strong effectiveness. Based on data from Hebei Province in China, the triple-hurdle model was used to analyze the impact of the governance structure and perceived interests on satisfaction from three stages. The main findings are: (1) Satisfaction with the AIU was affected by the governance structure and perceived interests. The former significantly impacted the final satisfaction, whereas the latter had significantly positive effects in all three stages. (2) Among the perceived interest factors, operating ability, interest sharing, and risk defense influenced attitude to whether performance had improved. (3) Attitude toward satisfaction was affected by the perceptions of operating ability and benefit sharing, whereas the overall satisfaction was influenced by benefit-sharing and risk-defense ability. Policy recommendations were suggested to strengthen the close bonds among AIU members at last.
{"title":"Factors Influencing Member Satisfaction With Cooperation in an Agro-Industrialized Union","authors":"Hanyue Li, Runqing Zhang","doi":"10.4018/joeuc.324081","DOIUrl":"https://doi.org/10.4018/joeuc.324081","url":null,"abstract":"As a new form of agricultural organization, agro-industrialized unions (AIUs) have shown strong effectiveness. Based on data from Hebei Province in China, the triple-hurdle model was used to analyze the impact of the governance structure and perceived interests on satisfaction from three stages. The main findings are: (1) Satisfaction with the AIU was affected by the governance structure and perceived interests. The former significantly impacted the final satisfaction, whereas the latter had significantly positive effects in all three stages. (2) Among the perceived interest factors, operating ability, interest sharing, and risk defense influenced attitude to whether performance had improved. (3) Attitude toward satisfaction was affected by the perceptions of operating ability and benefit sharing, whereas the overall satisfaction was influenced by benefit-sharing and risk-defense ability. Policy recommendations were suggested to strengthen the close bonds among AIU members at last.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44830048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Agents' irrational behavior would lead to local configuration of complex adaptive system percolation. The corresponding critical point is key to making decisions for improving the system or keeping the system from collapsing. The authors construct a complex adaptive system model where agent behavior and its local configuration co-evolve. This model shows, when an arbitrary agent and its neighbors change their strategy and local interactive configuration, how the properties of percolation critical point of this system would emerge under random attack and intentional attack. It is shown that the system is robust if it is attacked randomly, and there are always at least two large components keeping the system connected. However, if the system is attacked intentionally, the result is more interesting. The system is robust if the deleting probability is smaller than a certain critical probability c0, but the system is vulnerable if the probability is larger than c0. Furthermore, the critical probability c0 is determined by the agent payoff, system structure, and noise.
{"title":"The Robustness and Vulnerability of a Complex Adaptive System With Co-Evolving Agent Behavior and Local Structure","authors":"Xiaojing Zheng","doi":"10.4018/joeuc.324072","DOIUrl":"https://doi.org/10.4018/joeuc.324072","url":null,"abstract":"Agents' irrational behavior would lead to local configuration of complex adaptive system percolation. The corresponding critical point is key to making decisions for improving the system or keeping the system from collapsing. The authors construct a complex adaptive system model where agent behavior and its local configuration co-evolve. This model shows, when an arbitrary agent and its neighbors change their strategy and local interactive configuration, how the properties of percolation critical point of this system would emerge under random attack and intentional attack. It is shown that the system is robust if it is attacked randomly, and there are always at least two large components keeping the system connected. However, if the system is attacked intentionally, the result is more interesting. The system is robust if the deleting probability is smaller than a certain critical probability c0, but the system is vulnerable if the probability is larger than c0. Furthermore, the critical probability c0 is determined by the agent payoff, system structure, and noise.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44713077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sharp rises and falls in stock prices have become increasingly frequent in recent years. Stock market crashes bring great risks to the stability of the securities markets. Using recurrence plot theory and a heuristic segmentation algorithm for detecting abrupt changes in nonlinear time series, this study investigates the problem of detecting abrupt endogenous structural changes before a stock market crash. Based on an analysis of crash events in 12 developed and 10 emerging countries and regions, the authors find the following: (1) The market laminar flow (LAM) value will fall greatly before a stock market crash; (2) the LAM sequence of the US stock market during the 2008 financial crisis presents a fractal-like self-similar structure, and blank bands appears in the recurrence plot, indicating a phase transition in the LAM sequence before the crash; and. (3) using a heuristic segmentation algorithm to detect abrupt changes in nonlinear time series, this study finds that before a crash, the endogenous structure of the market continuously experiences abnormal abrupt changes, and abnormal abrupt change time.
{"title":"Research on Monitoring Method of Stock Market Systematic Crash Based on Market Transaction Data","authors":"Y. Li, Zhan-Wen Li","doi":"10.4018/joeuc.324062","DOIUrl":"https://doi.org/10.4018/joeuc.324062","url":null,"abstract":"Sharp rises and falls in stock prices have become increasingly frequent in recent years. Stock market crashes bring great risks to the stability of the securities markets. Using recurrence plot theory and a heuristic segmentation algorithm for detecting abrupt changes in nonlinear time series, this study investigates the problem of detecting abrupt endogenous structural changes before a stock market crash. Based on an analysis of crash events in 12 developed and 10 emerging countries and regions, the authors find the following: (1) The market laminar flow (LAM) value will fall greatly before a stock market crash; (2) the LAM sequence of the US stock market during the 2008 financial crisis presents a fractal-like self-similar structure, and blank bands appears in the recurrence plot, indicating a phase transition in the LAM sequence before the crash; and. (3) using a heuristic segmentation algorithm to detect abrupt changes in nonlinear time series, this study finds that before a crash, the endogenous structure of the market continuously experiences abnormal abrupt changes, and abnormal abrupt change time.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44109953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Knowledge workers are quite crucial to every enterprise, so exploring the relationship between their salary satisfaction and job performance is significant. Hence, this work observes their salary satisfaction by identifying the employees' emotions at the time of salary announcement. The relationship between salary satisfaction and job performance is studied through the obtained satisfaction. First, the convolutional neural network (CNN) model is introduced. Then, it is optimized by adding an attention mechanism to improve the accuracy of the emotion recognition model. Finally, through comparative experiments, the effectiveness of the model proposed and the impact of employee's salary satisfaction on job performance are verified. The experimental results show that the recognition accuracy of the model is much higher than that of the traditional model. In particular, the recognition accuracy of neutral emotions is as high as 95%. It verifies the effectiveness of the model.
{"title":"The Influence of Knowledge Worker Salary Satisfaction on Employee Job Performance","authors":"Li Zeng","doi":"10.4018/joeuc.323426","DOIUrl":"https://doi.org/10.4018/joeuc.323426","url":null,"abstract":"Knowledge workers are quite crucial to every enterprise, so exploring the relationship between their salary satisfaction and job performance is significant. Hence, this work observes their salary satisfaction by identifying the employees' emotions at the time of salary announcement. The relationship between salary satisfaction and job performance is studied through the obtained satisfaction. First, the convolutional neural network (CNN) model is introduced. Then, it is optimized by adding an attention mechanism to improve the accuracy of the emotion recognition model. Finally, through comparative experiments, the effectiveness of the model proposed and the impact of employee's salary satisfaction on job performance are verified. The experimental results show that the recognition accuracy of the model is much higher than that of the traditional model. In particular, the recognition accuracy of neutral emotions is as high as 95%. It verifies the effectiveness of the model.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48572108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shuya Fang, Qingquan Liu, Fengrui Zhang, Ningyan Chen, Xin Li
Access control data will continue to be exposed to the threat of privacy leakage even if blockchain technology currently offers a new solution for the security and privacy of the internet of things (IoT). However, its usability and privacy are not completely leveraged. This paper first discusses the IoT and blockchain technology and then examines each technology's structural models in order to address the issue of information security and privacy protection for the global organization IoT based on blockchain. Second, the information security and privacy guarantee system based on blockchain is built with ZKP and TEE at its heart after problems with zero-knowledge proof (ZKP) and trusted execution environment (TEE) in information security guarantee based on blockchain are investigated. By comparing the simulation trials, the proposed system's viability is finally confirmed. The results demonstrate that the suggested algorithm's evidence generation time is 352 ms when it reaches the experiment's highest node 28, which is clearly faster than previous techniques.
{"title":"Application of Internet of Things and Blockchain in Information Security and Privacy Protection of Global Organizations","authors":"Shuya Fang, Qingquan Liu, Fengrui Zhang, Ningyan Chen, Xin Li","doi":"10.4018/joeuc.323192","DOIUrl":"https://doi.org/10.4018/joeuc.323192","url":null,"abstract":"Access control data will continue to be exposed to the threat of privacy leakage even if blockchain technology currently offers a new solution for the security and privacy of the internet of things (IoT). However, its usability and privacy are not completely leveraged. This paper first discusses the IoT and blockchain technology and then examines each technology's structural models in order to address the issue of information security and privacy protection for the global organization IoT based on blockchain. Second, the information security and privacy guarantee system based on blockchain is built with ZKP and TEE at its heart after problems with zero-knowledge proof (ZKP) and trusted execution environment (TEE) in information security guarantee based on blockchain are investigated. By comparing the simulation trials, the proposed system's viability is finally confirmed. The results demonstrate that the suggested algorithm's evidence generation time is 352 ms when it reaches the experiment's highest node 28, which is clearly faster than previous techniques.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":"39 1","pages":"1-16"},"PeriodicalIF":6.5,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77975528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Consumers' online stickiness and repurchase intention are important issues in the marketing of the global live streaming industry, but there is no clear consensus on its influencing mechanism. Based on the theoretical framework of stimulus-organism-response (SOR), this study validates the research model and hypotheses through structural equation modeling (SEM). The model of influencing factors of live streamers' characteristics (professionality, credibility, attractiveness, and interactivity) and perceived value of live streaming platforms has been established to testify how they influence the online satisfaction and online trust of global consumers, which further has impact on online stickiness and eventually on repurchase intention. Online trust and online stickiness have a significant impact on consumers' continuous purchase. Among them, the interactivity of live streamers significantly affects online trust, and the perceived context value of live streaming platforms significantly affects online satisfaction.
{"title":"The Driving Factors Analysis of Live Streamers' Characteristics and Perceived Value for Consumer Repurchase Intention on Live Streaming Platforms","authors":"Zhaoyang Meng, Mengyi Lin","doi":"10.4018/joeuc.323187","DOIUrl":"https://doi.org/10.4018/joeuc.323187","url":null,"abstract":"Consumers' online stickiness and repurchase intention are important issues in the marketing of the global live streaming industry, but there is no clear consensus on its influencing mechanism. Based on the theoretical framework of stimulus-organism-response (SOR), this study validates the research model and hypotheses through structural equation modeling (SEM). The model of influencing factors of live streamers' characteristics (professionality, credibility, attractiveness, and interactivity) and perceived value of live streaming platforms has been established to testify how they influence the online satisfaction and online trust of global consumers, which further has impact on online stickiness and eventually on repurchase intention. Online trust and online stickiness have a significant impact on consumers' continuous purchase. Among them, the interactivity of live streamers significantly affects online trust, and the perceived context value of live streaming platforms significantly affects online satisfaction.","PeriodicalId":49029,"journal":{"name":"Journal of Organizational and End User Computing","volume":" ","pages":""},"PeriodicalIF":6.5,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42319423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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