Abstract With the continuous development of economy, the bottleneck problem of environmental resources has become increasingly prominent. Enterprise environmental governance technology innovation incentive has become an important issue for the development of government, society and enterprises. Under the control of enterprise’s expected economic target, this paper discusses the synergistic incentive effect of environmental policy and green finance on enterprise’s environmental governance technology innovation decision by using nonlinear programming model. The results show that when the funds for environmental governance technological innovation are insufficient, there is an optimal decision space to use green financial loans to implement technological innovation and upgrade, and then achieve the expected economic goals; Under a given level of environmental governance technology, environmental policies affect whether enterprises can make decisions on technological innovation and upgrading of environmental governance; Green financial mechanism will not. However, when the enterprise makes the decision of environmental governance technology upgrading, it will affect the enterprise’s decision on green financial loan amount. The results of the study have guiding significance for the formulation of environmental policy and green financial policy, as well as the decision-making of enterprise environmental governance technology innovation and upgrading.
{"title":"Analysis of Green Technology Upgrading Strategy Based on Collaborative Incentive of Environmental Policy and Green Finance","authors":"Xiuli Tan, Zhao-jin Sun, Zhongquan Chen, Zhisong Chen","doi":"10.21078/JSSI-2021-061-13","DOIUrl":"https://doi.org/10.21078/JSSI-2021-061-13","url":null,"abstract":"Abstract With the continuous development of economy, the bottleneck problem of environmental resources has become increasingly prominent. Enterprise environmental governance technology innovation incentive has become an important issue for the development of government, society and enterprises. Under the control of enterprise’s expected economic target, this paper discusses the synergistic incentive effect of environmental policy and green finance on enterprise’s environmental governance technology innovation decision by using nonlinear programming model. The results show that when the funds for environmental governance technological innovation are insufficient, there is an optimal decision space to use green financial loans to implement technological innovation and upgrade, and then achieve the expected economic goals; Under a given level of environmental governance technology, environmental policies affect whether enterprises can make decisions on technological innovation and upgrading of environmental governance; Green financial mechanism will not. However, when the enterprise makes the decision of environmental governance technology upgrading, it will affect the enterprise’s decision on green financial loan amount. The results of the study have guiding significance for the formulation of environmental policy and green financial policy, as well as the decision-making of enterprise environmental governance technology innovation and upgrading.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130725751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.21078/JSSI-2020-487-17
Yijie Wang, Yanyan Ke, Xianrui Ma, Yitian Ren
Abstract Although China has made great achievements in economic scale, the model of high-quality economic developments is still in the exploratory stage. A series problems, such as unreasonable industrial structure and low production efficiency, need to be resolved urgently. The transformation and upgrading of industrial structure is the inevitable choice. The analysis of industrial relations is an important method to reveal the internal mechanism of industrial structure change. Therefore, based on the concepts of sensitivity and influence coefficient, this paper proposed the concepts of driven and driving coefficient, and constructed the industrial complex networks of China from 1999 to 2013 according to the EORA input-output table. From the perspectives of the interaction power, industrial linkages and community structure, this paper systematically analyzes the evolution of China’s industrial structure. Results show that China’s industrial structure is undergoing a transformation from industry-oriented to industry-service-oriented. The interaction linkages between industries has formed a robust association structure. The traditional sectors such as infrastructure construction and industries are still the largest consumer group driving the development of other industries. Besides, light industry, infrastructure construction and finance have become increasingly important hub industries in the industrial system. However, some unbalanced community structures are formed in the economic system, which has resulted in a waste of resources and low production efficiency to a certain extent. Effectively grasping the relationship between China’s industrial structure evolution and its association is conducive to formulating economic restructuring policies, promoting the upgrading of China’s economic and, realizing the leap from quantitative change to qualitative change.
{"title":"What is the Industrial Structure Changes of China?","authors":"Yijie Wang, Yanyan Ke, Xianrui Ma, Yitian Ren","doi":"10.21078/JSSI-2020-487-17","DOIUrl":"https://doi.org/10.21078/JSSI-2020-487-17","url":null,"abstract":"Abstract Although China has made great achievements in economic scale, the model of high-quality economic developments is still in the exploratory stage. A series problems, such as unreasonable industrial structure and low production efficiency, need to be resolved urgently. The transformation and upgrading of industrial structure is the inevitable choice. The analysis of industrial relations is an important method to reveal the internal mechanism of industrial structure change. Therefore, based on the concepts of sensitivity and influence coefficient, this paper proposed the concepts of driven and driving coefficient, and constructed the industrial complex networks of China from 1999 to 2013 according to the EORA input-output table. From the perspectives of the interaction power, industrial linkages and community structure, this paper systematically analyzes the evolution of China’s industrial structure. Results show that China’s industrial structure is undergoing a transformation from industry-oriented to industry-service-oriented. The interaction linkages between industries has formed a robust association structure. The traditional sectors such as infrastructure construction and industries are still the largest consumer group driving the development of other industries. Besides, light industry, infrastructure construction and finance have become increasingly important hub industries in the industrial system. However, some unbalanced community structures are formed in the economic system, which has resulted in a waste of resources and low production efficiency to a certain extent. Effectively grasping the relationship between China’s industrial structure evolution and its association is conducive to formulating economic restructuring policies, promoting the upgrading of China’s economic and, realizing the leap from quantitative change to qualitative change.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116358186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.21078/JSSI-2020-565-13
Xiaogang Cao, Hui Wen
Abstract We propose a two-echelon remanufacturing model in the context of two periods in which the factor of patent protection of the original manufacturer is considered. Through the analysis of the Stackelberg game among the supplier, the original manufacturer and the remanufacturer we obtain the equilibrium solutions of the unit patent licensing fee of the original manufacturer, the recycling effort degree of the remanufacturer, the wholesale price of new and remanufactured core components and the retail price of new and remanufactured products in the second period which are all dependent on the retail price of new products in the first period in cases with patent protection and without patent protection. In the numerical study we analyze the impacts of the remanufacturing rate of used products and the retail price of new products in the first period on the equilibrium results of the second period, and make a comparison between the case with patent protection and the case without patent protection.
{"title":"Managing Two-Echelon Remanufacturing Under Patent Protection","authors":"Xiaogang Cao, Hui Wen","doi":"10.21078/JSSI-2020-565-13","DOIUrl":"https://doi.org/10.21078/JSSI-2020-565-13","url":null,"abstract":"Abstract We propose a two-echelon remanufacturing model in the context of two periods in which the factor of patent protection of the original manufacturer is considered. Through the analysis of the Stackelberg game among the supplier, the original manufacturer and the remanufacturer we obtain the equilibrium solutions of the unit patent licensing fee of the original manufacturer, the recycling effort degree of the remanufacturer, the wholesale price of new and remanufactured core components and the retail price of new and remanufactured products in the second period which are all dependent on the retail price of new products in the first period in cases with patent protection and without patent protection. In the numerical study we analyze the impacts of the remanufacturing rate of used products and the retail price of new products in the first period on the equilibrium results of the second period, and make a comparison between the case with patent protection and the case without patent protection.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126342203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.21078/JSSI-2020-549-16
Min Xiao, Ting-Ju Chen, Kunpeng Huang, Rui-xing Ming
Abstract Detecting differential expression of genes in genom research (e.g., 2019-nCoV) is not uncommon, due to the cost only small sample is employed to estimate a large number of variances (or their inverse) of variables simultaneously. However, the commonly used approaches perform unreliable. Borrowing information across different variables or priori information of variables, shrinkage estimation approaches are proposed and some optimal shrinkage estimators are obtained in the sense of asymptotic. In this paper, we focus on the setting of small sample and a likelihood-unbiased estimator for power of variances is given under the assumption that the variances are chi-squared distribution. Simulation reports show that the likelihood-unbiased estimators for variances and their inverse perform very well. In addition, application comparison and real data analysis indicate that the proposed estimator also works well.
{"title":"Optimal Estimation for Power of Variance with Application to Gene-Set Testing","authors":"Min Xiao, Ting-Ju Chen, Kunpeng Huang, Rui-xing Ming","doi":"10.21078/JSSI-2020-549-16","DOIUrl":"https://doi.org/10.21078/JSSI-2020-549-16","url":null,"abstract":"Abstract Detecting differential expression of genes in genom research (e.g., 2019-nCoV) is not uncommon, due to the cost only small sample is employed to estimate a large number of variances (or their inverse) of variables simultaneously. However, the commonly used approaches perform unreliable. Borrowing information across different variables or priori information of variables, shrinkage estimation approaches are proposed and some optimal shrinkage estimators are obtained in the sense of asymptotic. In this paper, we focus on the setting of small sample and a likelihood-unbiased estimator for power of variances is given under the assumption that the variances are chi-squared distribution. Simulation reports show that the likelihood-unbiased estimators for variances and their inverse perform very well. In addition, application comparison and real data analysis indicate that the proposed estimator also works well.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129611776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.21078/JSSI-2020-524-25
Qian Yu, Jun Cao, Ling Tan, Yubing Zhai, Jiongyang Liu
Abstract In this paper, we investigate the multiple attribute decision making (MADM) problems in which the attribute values take the form of hesitant trapezoid fuzzy information. Firstly, inspired by the idea of hesitant fuzzy sets and trapezoid fuzzy numbers, the definition of hesitant trapezoid fuzzy set and some operational laws of hesitant trapezoid fuzzy elements are proposed. Then some hesitant trapezoid fuzzy aggregation operators based on Hamacher operation are developed, such as the hesitant trapezoid fuzzy Hamacher weighted average (HTrFHWA) operator, the hesitant trapezoid fuzzy Hamacher weighted geometric (HTrFHWG) operator, the hesitant trapezoid fuzzy Hamacher Choquet average (HTrFHCA), the hesitant trapezoid fuzzy Hamacher Choquet geometric (HTrFHCG), etc. Furthermore, an approach based on the hesitant trapezoid fuzzy Hamacher weighted average (HTrFHWA) operator and the hesitant trapezoid fuzzy Hamacher weighted geometric (HTrFHWG) operator is proposed for MADM problems under hesitant trapezoid fuzzy environment. Finally, a numerical example for supplier selection is given to illustrate the application of the proposed approach.
{"title":"Hesitant Trapezoid Fuzzy Hamacher Aggregation Operators and Their Application to Multiple Attribute Decision Making","authors":"Qian Yu, Jun Cao, Ling Tan, Yubing Zhai, Jiongyang Liu","doi":"10.21078/JSSI-2020-524-25","DOIUrl":"https://doi.org/10.21078/JSSI-2020-524-25","url":null,"abstract":"Abstract In this paper, we investigate the multiple attribute decision making (MADM) problems in which the attribute values take the form of hesitant trapezoid fuzzy information. Firstly, inspired by the idea of hesitant fuzzy sets and trapezoid fuzzy numbers, the definition of hesitant trapezoid fuzzy set and some operational laws of hesitant trapezoid fuzzy elements are proposed. Then some hesitant trapezoid fuzzy aggregation operators based on Hamacher operation are developed, such as the hesitant trapezoid fuzzy Hamacher weighted average (HTrFHWA) operator, the hesitant trapezoid fuzzy Hamacher weighted geometric (HTrFHWG) operator, the hesitant trapezoid fuzzy Hamacher Choquet average (HTrFHCA), the hesitant trapezoid fuzzy Hamacher Choquet geometric (HTrFHCG), etc. Furthermore, an approach based on the hesitant trapezoid fuzzy Hamacher weighted average (HTrFHWA) operator and the hesitant trapezoid fuzzy Hamacher weighted geometric (HTrFHWG) operator is proposed for MADM problems under hesitant trapezoid fuzzy environment. Finally, a numerical example for supplier selection is given to illustrate the application of the proposed approach.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121756060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.21078/JSSI-2020-578-11
Siyuan Liang, Wenli Jiang, Fangli Zhao, Feng Zhao
Abstract With the rapid development of cloud computing and other related services, higher requirements are put forward for network transmission and delay. Due to the inherent distributed characteristics of traditional networks, machine learning technology is difficult to be applied and deployed in network control. The emergence of SDN technology provides new opportunities and challenges for the application of machine learning technology in network management. A load balancing algorithm of Internet of things controller based on data center SDN architecture is proposed. The Bayesian network is used to predict the degree of load congestion, combining reinforcement learning algorithm to make optimal action decision, self-adjusting parameter weight to adjust the controller load congestion, to achieve load balance, improve network security and stability.
{"title":"Load Balancing Algorithm of Controller Based on SDN Architecture Under Machine Learning","authors":"Siyuan Liang, Wenli Jiang, Fangli Zhao, Feng Zhao","doi":"10.21078/JSSI-2020-578-11","DOIUrl":"https://doi.org/10.21078/JSSI-2020-578-11","url":null,"abstract":"Abstract With the rapid development of cloud computing and other related services, higher requirements are put forward for network transmission and delay. Due to the inherent distributed characteristics of traditional networks, machine learning technology is difficult to be applied and deployed in network control. The emergence of SDN technology provides new opportunities and challenges for the application of machine learning technology in network management. A load balancing algorithm of Internet of things controller based on data center SDN architecture is proposed. The Bayesian network is used to predict the degree of load congestion, combining reinforcement learning algorithm to make optimal action decision, self-adjusting parameter weight to adjust the controller load congestion, to achieve load balance, improve network security and stability.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125860795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.21078/JSSI-2020-504-20
Changhong Nie, Mingming Cui, Xiuting Li
Abstract China’s grain science and technology policies have played an important role in the development of China’s food industry. This paper aims to examine the effects of China’s grain science and technology policies on food security. It quantitatively assesses China’s food security by analyzing the main contents and development trends of China’s food science technology policies through the text metrology method, and then investigates the effects of grain science and technology policies on food security by employing a provincial dynamic panel model. The results show that food security in China is all-round developed, and that the release frequency and cumulative effect of grain science and technology policies play a significant role in promoting food security. Powerful grain science and technology policies can effectively guarantee China’s food security.
{"title":"Grain Science and Technology Policies and Food Security in China: An Empirical Study Based on a Provincial Dynamic Panel Model","authors":"Changhong Nie, Mingming Cui, Xiuting Li","doi":"10.21078/JSSI-2020-504-20","DOIUrl":"https://doi.org/10.21078/JSSI-2020-504-20","url":null,"abstract":"Abstract China’s grain science and technology policies have played an important role in the development of China’s food industry. This paper aims to examine the effects of China’s grain science and technology policies on food security. It quantitatively assesses China’s food security by analyzing the main contents and development trends of China’s food science technology policies through the text metrology method, and then investigates the effects of grain science and technology policies on food security by employing a provincial dynamic panel model. The results show that food security in China is all-round developed, and that the release frequency and cumulative effect of grain science and technology policies play a significant role in promoting food security. Powerful grain science and technology policies can effectively guarantee China’s food security.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129852360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-01DOI: 10.21078/JSSI-2020-401-33
Jinxin Cui, Huiwen Zou
Abstract This paper investigates the frequency connectedness among economic policy uncertainties of G20 countries using the novel frequency connectedness proposed by Barunik and Krehlik (2018) which can depict the dynamic connectedness not only over time but also across different frequencies. The empirical results obtained in this paper demonstrate that, firstly, the connectedness among economic policy uncertainties is significant, and the spillover effects during the financial crisis and the post-financial crisis period are stronger than the pre-financial crisis period. Secondly, the United States, France, and Australia are the main net-transmitters of the economic policy uncertainty spillovers while Brazil, Italy, Mexico, and Russia act as the main net-recipients of the spillovers. Thirdly, the major international events may significantly enhance the spillover transmissions of economic policy uncertainty among different countries, thus increasing the magnitude of the total connectedness. Finally, the economic policy uncertainty spillovers are mainly transmitted in the short term, i.e., 1∼4 months instead of longer time horizons in terms of the magnitude of the frequency connectedness measures. The findings of this paper not only have profound theoretical and practical significance but also provide several significant implications for the policymakers, supervision agents, international traders, and various investors.
{"title":"Connectedness Among Economic Policy Uncertainties: Evidence from the Time and Frequency Domain Perspectives","authors":"Jinxin Cui, Huiwen Zou","doi":"10.21078/JSSI-2020-401-33","DOIUrl":"https://doi.org/10.21078/JSSI-2020-401-33","url":null,"abstract":"Abstract This paper investigates the frequency connectedness among economic policy uncertainties of G20 countries using the novel frequency connectedness proposed by Barunik and Krehlik (2018) which can depict the dynamic connectedness not only over time but also across different frequencies. The empirical results obtained in this paper demonstrate that, firstly, the connectedness among economic policy uncertainties is significant, and the spillover effects during the financial crisis and the post-financial crisis period are stronger than the pre-financial crisis period. Secondly, the United States, France, and Australia are the main net-transmitters of the economic policy uncertainty spillovers while Brazil, Italy, Mexico, and Russia act as the main net-recipients of the spillovers. Thirdly, the major international events may significantly enhance the spillover transmissions of economic policy uncertainty among different countries, thus increasing the magnitude of the total connectedness. Finally, the economic policy uncertainty spillovers are mainly transmitted in the short term, i.e., 1∼4 months instead of longer time horizons in terms of the magnitude of the frequency connectedness measures. The findings of this paper not only have profound theoretical and practical significance but also provide several significant implications for the policymakers, supervision agents, international traders, and various investors.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124065986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-01DOI: 10.21078/JSSI-2020-476-11
Zuyun Jiang, Xiangdong Sun, Xiaochun Wang
Abstract Based on image segmentation and the dark channel prior, this paper proposes a fog removal algorithm in the HSI color space. Usually, the dark channel prior based defogging methods easily produce color distortion and halo effect when applied on images with a large sky area, because the sky region does not meet the prior assumption. For this reason, our method presents a new threshold sky region segmentation algorithm using the initial transmission map of the intensity component I. Based on the segmentation result, the initial transmission map is modified in turn, and finally refined by the guided filter. The saturation components S is reconstructed using the low frequencies of the V-transform to reduce noise, and stretched by multiplying a constant related to the initial transmission map. Experimental results show that the proposed algorithm has low time complexity and compelling fog removal result in both visual effect and quantitative measurement.
{"title":"Image Defogging Algorithm Based on Sky Region Segmentation and Dark Channel Prior","authors":"Zuyun Jiang, Xiangdong Sun, Xiaochun Wang","doi":"10.21078/JSSI-2020-476-11","DOIUrl":"https://doi.org/10.21078/JSSI-2020-476-11","url":null,"abstract":"Abstract Based on image segmentation and the dark channel prior, this paper proposes a fog removal algorithm in the HSI color space. Usually, the dark channel prior based defogging methods easily produce color distortion and halo effect when applied on images with a large sky area, because the sky region does not meet the prior assumption. For this reason, our method presents a new threshold sky region segmentation algorithm using the initial transmission map of the intensity component I. Based on the segmentation result, the initial transmission map is modified in turn, and finally refined by the guided filter. The saturation components S is reconstructed using the low frequencies of the V-transform to reduce noise, and stretched by multiplying a constant related to the initial transmission map. Experimental results show that the proposed algorithm has low time complexity and compelling fog removal result in both visual effect and quantitative measurement.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122673849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-01DOI: 10.21078/JSSI-2020-447-11
Lina Wang, S. Poelmans, K. Milis
Abstract The optimization investment policy decision of SCM-supply chain management-implementation has been analysed under symmetric and asymmetric information conditions. For both conditions, SCM implementation optional decision optimizing models have been developed. In these models, both clients and vendors try to pursue their own benefits. Based upon the principal-agent theory, the models show to what extent a principal (a client) needs to pay more to an agent (a vendor) in a context of asymmetric information. For the client it is important to understand the extra costs to be able to adopt effective strategies to stimulate a vendor to perform an optimal implementation of a SCM system. The results of a simulation experiment regarding SCM implementation options illustrate and verify the theoretical findings and confirm the general notion that the less informed party is obliged to pay information rent to the better-informed party.
{"title":"SCM Implementation Decisions Under Asymmetric Information: An Agency Approach","authors":"Lina Wang, S. Poelmans, K. Milis","doi":"10.21078/JSSI-2020-447-11","DOIUrl":"https://doi.org/10.21078/JSSI-2020-447-11","url":null,"abstract":"Abstract The optimization investment policy decision of SCM-supply chain management-implementation has been analysed under symmetric and asymmetric information conditions. For both conditions, SCM implementation optional decision optimizing models have been developed. In these models, both clients and vendors try to pursue their own benefits. Based upon the principal-agent theory, the models show to what extent a principal (a client) needs to pay more to an agent (a vendor) in a context of asymmetric information. For the client it is important to understand the extra costs to be able to adopt effective strategies to stimulate a vendor to perform an optimal implementation of a SCM system. The results of a simulation experiment regarding SCM implementation options illustrate and verify the theoretical findings and confirm the general notion that the less informed party is obliged to pay information rent to the better-informed party.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128280623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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