{"title":"Retracted: Coupling Coordination Degree between New Urbanization and Eco-Environment in Shaanxi, China, and Its Influencing Factors","authors":"Discrete Dynamics in Nature and Society","doi":"10.1155/2023/9819132","DOIUrl":"https://doi.org/10.1155/2023/9819132","url":null,"abstract":"<jats:p />","PeriodicalId":55177,"journal":{"name":"Discrete Dynamics in Nature and Society","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136062546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retracted: Digital Finance and Firm Exit: Mathematical Model and Empirical Evidence from Industrial Firms","authors":"Discrete Dynamics in Nature and Society","doi":"10.1155/2023/9867094","DOIUrl":"https://doi.org/10.1155/2023/9867094","url":null,"abstract":"<jats:p />","PeriodicalId":55177,"journal":{"name":"Discrete Dynamics in Nature and Society","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136062396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retracted: A Prediction Model of Customer Churn considering Customer Value: An Empirical Research of Telecom Industry in China","authors":"Discrete Dynamics in Nature and Society","doi":"10.1155/2023/9876034","DOIUrl":"https://doi.org/10.1155/2023/9876034","url":null,"abstract":"<jats:p />","PeriodicalId":55177,"journal":{"name":"Discrete Dynamics in Nature and Society","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136062765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retracted: New Environmental Protection Taxes in China from the Perspective of Environmental Economics","authors":"Discrete Dynamics in Nature and Society","doi":"10.1155/2023/9841268","DOIUrl":"https://doi.org/10.1155/2023/9841268","url":null,"abstract":"<jats:p />","PeriodicalId":55177,"journal":{"name":"Discrete Dynamics in Nature and Society","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136064070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retracted: Digital Transformation and Corporate Total Factor Productivity: Empirical Evidence Based on Listed Enterprises","authors":"Discrete Dynamics in Nature and Society","doi":"10.1155/2023/9871216","DOIUrl":"https://doi.org/10.1155/2023/9871216","url":null,"abstract":"<jats:p />","PeriodicalId":55177,"journal":{"name":"Discrete Dynamics in Nature and Society","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136062767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retracted: Evolution of China’s Interprovincial Water Flow Network","authors":"Discrete Dynamics in Nature and Society","doi":"10.1155/2023/9761459","DOIUrl":"https://doi.org/10.1155/2023/9761459","url":null,"abstract":"<jats:p />","PeriodicalId":55177,"journal":{"name":"Discrete Dynamics in Nature and Society","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136062522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Retracted: Third-Party Punishment Mechanism and Corporate Cooperation in Environmental Investment: Experiments on Public Goods Game","authors":"Discrete Dynamics in Nature and Society","doi":"10.1155/2023/9841482","DOIUrl":"https://doi.org/10.1155/2023/9841482","url":null,"abstract":"<jats:p />","PeriodicalId":55177,"journal":{"name":"Discrete Dynamics in Nature and Society","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136062543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Under uncertain conditions, stronger supply chain resilience can effectively reduce disruption risks and help enterprises achieve their goal of high-quality operations. This paper constructs a resilience evaluation index system for manufacturing enterprises from the perspective of the supply chain and uses the improved TOPSIS method to quantify the level of resilience. Taking into account that the resilience index is easily affected by nonconventional factors in the real environment, the WAWBO weakening buffer operator and the metabolism idea are introduced to improve the grey prediction method, so as to realize the dynamic prediction of the resilience index. In addition, a supply chain resilience early warning model is constructed by combining it with the quantification method of resilience. Using the data of a Chinese electronics manufacturing enterprise as a case study, the results demonstrate the effectiveness of the proposed resilience quantification method, and the improved grey prediction method has higher prediction accuracy. The study provides a new idea for relevant enterprises to improve the early warning ability of their supply chain, thus promoting the sustainable development of the supply chain.
{"title":"A Novel Improved Grey Incidence Model for Evaluating the Performance of Supply Chain Resilience","authors":"Feipeng Huang","doi":"10.1155/2023/2812467","DOIUrl":"https://doi.org/10.1155/2023/2812467","url":null,"abstract":"Under uncertain conditions, stronger supply chain resilience can effectively reduce disruption risks and help enterprises achieve their goal of high-quality operations. This paper constructs a resilience evaluation index system for manufacturing enterprises from the perspective of the supply chain and uses the improved TOPSIS method to quantify the level of resilience. Taking into account that the resilience index is easily affected by nonconventional factors in the real environment, the WAWBO weakening buffer operator and the metabolism idea are introduced to improve the grey prediction method, so as to realize the dynamic prediction of the resilience index. In addition, a supply chain resilience early warning model is constructed by combining it with the quantification method of resilience. Using the data of a Chinese electronics manufacturing enterprise as a case study, the results demonstrate the effectiveness of the proposed resilience quantification method, and the improved grey prediction method has higher prediction accuracy. The study provides a new idea for relevant enterprises to improve the early warning ability of their supply chain, thus promoting the sustainable development of the supply chain.","PeriodicalId":55177,"journal":{"name":"Discrete Dynamics in Nature and Society","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135094307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jing Tian, Xiaodong Wang, Jinhuan Meng, Pengfei Ma
In the operation of service-sharing platforms, online review information is crucial to attracting consumers. Considering consumers’ preference for online review information, this paper discusses the pricing policy selection for a service-sharing platform providing vertically differentiated services in sharing economy, which is worth studying. In this paper, a platform service supply chain composed of a high-quality service provider, a low-quality service provider, and a service-sharing platform is considered. For the two pricing policies of a platform: service provider pricing and platform pricing, the profit-maximizing models are constructed, and the optimal high-quality and the low-quality service prices are obtained. This paper also analyzes the effects of online review information on the profits of service providers, platform profits, consumer surplus, and social welfare under the two policies. The results show that under the platform pricing policy, the platform can gain more profits, while the surplus of consumers and service providers may decrease. When the online review information exceeds a threshold, the high-quality service provider profit under the service provider pricing policy is larger than that under the platform pricing policy. Under the platform pricing policy, the low-quality service provider can earn more profit. We also find that the low-quality service provider is more motivated to encourage consumers to provide online reviews regardless of the pricing policy.
{"title":"Pricing Policy Selection in a Platform Service Supply Chain with Online Reviews","authors":"Jing Tian, Xiaodong Wang, Jinhuan Meng, Pengfei Ma","doi":"10.1155/2023/7886129","DOIUrl":"https://doi.org/10.1155/2023/7886129","url":null,"abstract":"In the operation of service-sharing platforms, online review information is crucial to attracting consumers. Considering consumers’ preference for online review information, this paper discusses the pricing policy selection for a service-sharing platform providing vertically differentiated services in sharing economy, which is worth studying. In this paper, a platform service supply chain composed of a high-quality service provider, a low-quality service provider, and a service-sharing platform is considered. For the two pricing policies of a platform: service provider pricing and platform pricing, the profit-maximizing models are constructed, and the optimal high-quality and the low-quality service prices are obtained. This paper also analyzes the effects of online review information on the profits of service providers, platform profits, consumer surplus, and social welfare under the two policies. The results show that under the platform pricing policy, the platform can gain more profits, while the surplus of consumers and service providers may decrease. When the online review information exceeds a threshold, the high-quality service provider profit under the service provider pricing policy is larger than that under the platform pricing policy. Under the platform pricing policy, the low-quality service provider can earn more profit. We also find that the low-quality service provider is more motivated to encourage consumers to provide online reviews regardless of the pricing policy.","PeriodicalId":55177,"journal":{"name":"Discrete Dynamics in Nature and Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135253092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xiliang Chen, Gang Li, Muhammad Sajid Mehmood, Annan Jin, Mengjia Du, Yutong Xue
Property crimes on the street are common in cities, posing a certain threat to people’s daily life safety and social stability. Therefore, it is essential to analyze the characteristics and spatial patterns of street property crimes in the built environment to make cities safe. Based on environmental criminological theories, this study takes the MC old district in CA City as a case study and uses a negative binomial regression model to analyze the influencing factors of street property crimes in different periods. The results show the temporal and spatial differentiation in street property crimes. In terms of time, the number of crime cases presents the features of “three peaks and two troughs.” In terms of space, crime cases show spatial clustering patterns, mainly concentrated in the commercial and prosperous areas where the main roads of the city are located. During the whole day, openness, banks, bars, and restaurants have a significant positive effect on crime occurrence; closeness, police cameras, grocery stores, and distance to the nearest police patrol station had a significant negative effect on crime occurrence. There are two explanations for the positive and negative correlations of some environmental variables with a crime before dawn, daytime, and nighttime. This study explored the spatial-temporal distribution and factors that influence the old district street property crimes by extracting physical environmental characteristics from street view images using deep learning algorithms and providing a reference base for police departments to prevent and combat crime.
{"title":"Using Street View Images to Examine the Impact of Built Environment on Street Property Crimes in the Old District of CA City, China","authors":"Xiliang Chen, Gang Li, Muhammad Sajid Mehmood, Annan Jin, Mengjia Du, Yutong Xue","doi":"10.1155/2023/1470452","DOIUrl":"https://doi.org/10.1155/2023/1470452","url":null,"abstract":"Property crimes on the street are common in cities, posing a certain threat to people’s daily life safety and social stability. Therefore, it is essential to analyze the characteristics and spatial patterns of street property crimes in the built environment to make cities safe. Based on environmental criminological theories, this study takes the MC old district in CA City as a case study and uses a negative binomial regression model to analyze the influencing factors of street property crimes in different periods. The results show the temporal and spatial differentiation in street property crimes. In terms of time, the number of crime cases presents the features of “three peaks and two troughs.” In terms of space, crime cases show spatial clustering patterns, mainly concentrated in the commercial and prosperous areas where the main roads of the city are located. During the whole day, openness, banks, bars, and restaurants have a significant positive effect on crime occurrence; closeness, police cameras, grocery stores, and distance to the nearest police patrol station had a significant negative effect on crime occurrence. There are two explanations for the positive and negative correlations of some environmental variables with a crime before dawn, daytime, and nighttime. This study explored the spatial-temporal distribution and factors that influence the old district street property crimes by extracting physical environmental characteristics from street view images using deep learning algorithms and providing a reference base for police departments to prevent and combat crime.","PeriodicalId":55177,"journal":{"name":"Discrete Dynamics in Nature and Society","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135346287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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