In the era of digital economy, human capital is an important factor in building the core competitiveness of enterprises. However, the problem of frequent turnover, high turnover rate and low employee loyalty has been widely concerned. How to effectively attract, manage and ensure the maximum value of the new generation of employees in the enterprise is an urgent problem to be solved in today's enterprise human resources management. Based on the theory of social exchange and resource conservation, this paper takes 457 new generation employees as the research object to explore the influence of high involvement work system on employees’ organizational commitment, and to analyze the mediating effect of the sense of work gain and the moderating effect of family support. The results show that high involvement system has a significant positive impact on employee's affective commitment, continuance commitment and normative commitment, but has the least impact on employee's continuance commitment. Employee's sense of work gain fully mediates the relationship between the high involvement system and their organizational commitment; family support positively moderates the relationship between high involvement work system and sense of work gain, and further moderates the mediating effect of sense of work gain. That is, the higher the level of family support, the stronger the positive impact of high involvement work system on sense of work gain, and the stronger the mediating effect of sense of work gain in high involvement work system and employee's emotional commitment, continuous commitment and normative commitment.
{"title":"The Influence of High Involvement Work System on Organizational Commitment of New Generation Employees: The Roles of The Sense of Work Gain and Family Support","authors":"Yury Yu, Zhou Li","doi":"10.1145/3564858.3564894","DOIUrl":"https://doi.org/10.1145/3564858.3564894","url":null,"abstract":"In the era of digital economy, human capital is an important factor in building the core competitiveness of enterprises. However, the problem of frequent turnover, high turnover rate and low employee loyalty has been widely concerned. How to effectively attract, manage and ensure the maximum value of the new generation of employees in the enterprise is an urgent problem to be solved in today's enterprise human resources management. Based on the theory of social exchange and resource conservation, this paper takes 457 new generation employees as the research object to explore the influence of high involvement work system on employees’ organizational commitment, and to analyze the mediating effect of the sense of work gain and the moderating effect of family support. The results show that high involvement system has a significant positive impact on employee's affective commitment, continuance commitment and normative commitment, but has the least impact on employee's continuance commitment. Employee's sense of work gain fully mediates the relationship between the high involvement system and their organizational commitment; family support positively moderates the relationship between high involvement work system and sense of work gain, and further moderates the mediating effect of sense of work gain. That is, the higher the level of family support, the stronger the positive impact of high involvement work system on sense of work gain, and the stronger the mediating effect of sense of work gain in high involvement work system and employee's emotional commitment, continuous commitment and normative commitment.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129268041","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}
Objective: To explore the impact of public health investment on the high-quality regional development. Methods: The high-quality regional development in 30 provinces and cities except Tibet from 2007 to 2017 were evaluated, and the nonlinear relationship between public health investment and high-quality regional development based on the threshold regression model were analyzed. Results: The quality development of the national was stable except the lower of the green development level. Public health investment could promote high-quality regional development by influencing healthy human capital. And the higher the quality of development, the greater the role of public health investment in promoting the regional development. Conclusion: When the low quality of development, public health investment could not promote the quality of development, and even the certain effect of hindering; whereas the medium quality of development, public health investment had the positive effect. In addition, the high quality of development, public health investment enhanced the high-quality development.
{"title":"Research of the Nonlinear Effect of Public Health Investment on High-quality Development from year of 2007 to 2017","authors":"W. Zou, Rui-Feng Peng, Tianyin Liu","doi":"10.1145/3564858.3564919","DOIUrl":"https://doi.org/10.1145/3564858.3564919","url":null,"abstract":"Objective: To explore the impact of public health investment on the high-quality regional development. Methods: The high-quality regional development in 30 provinces and cities except Tibet from 2007 to 2017 were evaluated, and the nonlinear relationship between public health investment and high-quality regional development based on the threshold regression model were analyzed. Results: The quality development of the national was stable except the lower of the green development level. Public health investment could promote high-quality regional development by influencing healthy human capital. And the higher the quality of development, the greater the role of public health investment in promoting the regional development. Conclusion: When the low quality of development, public health investment could not promote the quality of development, and even the certain effect of hindering; whereas the medium quality of development, public health investment had the positive effect. In addition, the high quality of development, public health investment enhanced the high-quality development.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122900605","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}
In order to make the antenna point to the target position in real time and obtain the current target parameters, an improved PSO-RBF neural network for antenna target position prediction was proposed. Based on the RBF neural network model, the improved PSO-RBF algorithm was used to optimize the network parameters, and the prediction model was established on the basis of the measured data. Simulation results show that the prediction effect of this model is better than traditional RBF neural network and conventional PSO-RBF neural network, and it has better practical value.
{"title":"Research on target location prediction based on improved PSO-RBF Neural Network","authors":"Zhan Wang, Shuang Xia, Hua Yu, Yangchun Wang","doi":"10.1145/3564858.3564869","DOIUrl":"https://doi.org/10.1145/3564858.3564869","url":null,"abstract":"In order to make the antenna point to the target position in real time and obtain the current target parameters, an improved PSO-RBF neural network for antenna target position prediction was proposed. Based on the RBF neural network model, the improved PSO-RBF algorithm was used to optimize the network parameters, and the prediction model was established on the basis of the measured data. Simulation results show that the prediction effect of this model is better than traditional RBF neural network and conventional PSO-RBF neural network, and it has better practical value.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123003246","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}
Using the data of all A-share listed companies in Shanghai and Shenzhen stock exchanges from 2011 to 2020 as research samples, this paper analyzes the relationship between economic policy uncertainty, strategic aggressiveness and corporate earnings management from the micro perspective of enterprises. The results of this study show that: economic policy uncertainty will reduce the radicalism of corporate strategy, the reduction of corporate strategy radicality will reduce the earnings management of enterprises, and economic policy uncertainty will reduce the earnings management of enterprises by affecting the radicalism of corporate strategy; Further research finds that compared with state-owned enterprises, non-state-owned enterprises have a more significant effect on reducing corporate earnings management by reducing the aggressiveness of corporate strategy in the face of economic policy uncertainty.
{"title":"Economic policy uncertainty, strategic radicality and corporate earnings management","authors":"J. Fu, Yan Yuan","doi":"10.1145/3564858.3564885","DOIUrl":"https://doi.org/10.1145/3564858.3564885","url":null,"abstract":"Using the data of all A-share listed companies in Shanghai and Shenzhen stock exchanges from 2011 to 2020 as research samples, this paper analyzes the relationship between economic policy uncertainty, strategic aggressiveness and corporate earnings management from the micro perspective of enterprises. The results of this study show that: economic policy uncertainty will reduce the radicalism of corporate strategy, the reduction of corporate strategy radicality will reduce the earnings management of enterprises, and economic policy uncertainty will reduce the earnings management of enterprises by affecting the radicalism of corporate strategy; Further research finds that compared with state-owned enterprises, non-state-owned enterprises have a more significant effect on reducing corporate earnings management by reducing the aggressiveness of corporate strategy in the face of economic policy uncertainty.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131126229","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}
This paper constructed a digital economy evaluation index system with 32 indicators from four dimensions, including digital foundation, digital industrialization, industrial digitalization and digital environment, and evaluated the development level of digital economy in Guangdong Province from 2013 to 2020 by using entropy weight method. The results show that the digital economy of Guangdong province and its internal four dimensions have developed rapidly from 2013 to 2020, and the development level of digital economy in Guangdong Province is relatively high at present. The coupling coordination analysis shows that there are strong interactions among the four dimensions of digital economy from 2013 to 2020, and each dimension is in a highly orderly development state in 2020. From 2013 to 2015, the coordination of all dimensions is poor, and all belong to digital environment lag disorder. The coordination of all dimensions improved year by year from 2016 to 2020, and reached the state of quality coordination in 2019 and 2020.
{"title":"Evaluation and Coupling Coordination Analysis of Digital Economy Development Level in Guangdong Province: An Empirical Study from 2013-2020","authors":"Yijun Zhang, Yuan Dan","doi":"10.1145/3564858.3564902","DOIUrl":"https://doi.org/10.1145/3564858.3564902","url":null,"abstract":"This paper constructed a digital economy evaluation index system with 32 indicators from four dimensions, including digital foundation, digital industrialization, industrial digitalization and digital environment, and evaluated the development level of digital economy in Guangdong Province from 2013 to 2020 by using entropy weight method. The results show that the digital economy of Guangdong province and its internal four dimensions have developed rapidly from 2013 to 2020, and the development level of digital economy in Guangdong Province is relatively high at present. The coupling coordination analysis shows that there are strong interactions among the four dimensions of digital economy from 2013 to 2020, and each dimension is in a highly orderly development state in 2020. From 2013 to 2015, the coordination of all dimensions is poor, and all belong to digital environment lag disorder. The coordination of all dimensions improved year by year from 2016 to 2020, and reached the state of quality coordination in 2019 and 2020.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130320007","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}
The construction of medical treatment combinations (MTCs) is to promote the subsidence of high-quality medical resources but brings third-party risk propagation. This paper develops two models to optimize information security decisions under two types of MTCs. Based on theoretical and numerical analyses, influences of the participation conditions of hospitals and propagation probability on the optimal security decisions and total expected costs are investigated. We find that the security decision under the loose MTC (L-MTC) differs significantly from that under the tight MTC (T-MTC). We also find that the selection of MTCs can be influenced by the participation conditions of hospitals. When the potential loss is large and the potential loss coefficient of the partner hospital is small, T-MTC prevails in information security cost. However, an increase in the propagation probability can extend the trend of the cost advantage under the T-MTC. In contrast, although the area of the cost advantage under the L-MTC is relatively large, the core hospital with the moderate potential loss and the partner hospital with a large potential loss coefficient are prone to form L-MTC from the perspective of their interests.
{"title":"Research on Information Security Investment in Healthcare Institutions Under Medical Treatment Combinations","authors":"Wangyu Lu, Hui-hua Huang","doi":"10.1145/3564858.3564921","DOIUrl":"https://doi.org/10.1145/3564858.3564921","url":null,"abstract":"The construction of medical treatment combinations (MTCs) is to promote the subsidence of high-quality medical resources but brings third-party risk propagation. This paper develops two models to optimize information security decisions under two types of MTCs. Based on theoretical and numerical analyses, influences of the participation conditions of hospitals and propagation probability on the optimal security decisions and total expected costs are investigated. We find that the security decision under the loose MTC (L-MTC) differs significantly from that under the tight MTC (T-MTC). We also find that the selection of MTCs can be influenced by the participation conditions of hospitals. When the potential loss is large and the potential loss coefficient of the partner hospital is small, T-MTC prevails in information security cost. However, an increase in the propagation probability can extend the trend of the cost advantage under the T-MTC. In contrast, although the area of the cost advantage under the L-MTC is relatively large, the core hospital with the moderate potential loss and the partner hospital with a large potential loss coefficient are prone to form L-MTC from the perspective of their interests.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123071043","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}
Most of the current enterprise evaluation methods are based on a comprehensive index system. However, there are significant differences in the evaluation effectiveness of indicators and the difficulty of obtaining index data, which determines that a unified and comprehensive Index system cannot be adopted for different enterprises. Therefore, how to dynamically screen out the index with the least acquisition cost, meet the evaluation needs and not destroy the index relationship from the index system of related fields has become a significant problem. The current research results usually assume that the index is independent of each other and rarely consider the correlation constraints between different indexes. For this reason, this paper proposes a multi-index optimization problem based on correlation constraints (Multi-Index Optimization Based on Relevance Constraints, MIO-RC). MIO-RC is based on the evaluation value of each index, and the cost of index acquisition then selects the index set with the minimum cost that satisfies the expected contribution value. MIO-RC problem defines the correlation constraints between various evaluation indicators and defines a dynamic contribution value function based on enterprise characteristics and correlation indicators. In this paper, the MIO-RC problem is an NP-hard problem, and an IR-GA algorithm based on a genetic algorithm is designed to solve the MIO-RC problem under different constraints. Finally, this paper conducts a verification analysis based on many enterprise data sets. The experimental results show that: in terms of performance, compared with the simulated annealing algorithm and the particle swarm evolution algorithm, the IR-GA algorithm converges faster.
目前的企业评价方法大多基于综合指标体系。但各指标的评价有效性和指标数据获取难度存在显著差异，这就决定了无法针对不同企业采用统一的综合指标体系。因此，如何从相关领域的指标体系中动态筛选出获取成本最低、满足评价需要且不破坏指标关系的指标，成为一个重要的问题。目前的研究成果通常假设指标之间是相互独立的，很少考虑不同指标之间的相关约束。为此，本文提出了一种基于关联约束的多指标优化问题(multi-index optimization based on Relevance constraints, MIO-RC)。MIO-RC基于每个指标的评价值，然后选取满足期望贡献值的成本最小的指标集。MIO-RC问题定义了各种评价指标之间的关联约束，并根据企业特征和相关指标定义了动态贡献值函数。本文将MIO-RC问题作为np困难问题，设计了一种基于遗传算法的IR-GA算法来求解不同约束条件下的MIO-RC问题。最后，本文基于多个企业数据集进行了验证分析。实验结果表明:在性能方面，与模拟退火算法和粒子群进化算法相比，IR-GA算法收敛速度更快。
{"title":"Multi-Index Dynamic Optimization Method for Enterprise Evaluation Based on Correlation Constraints","authors":"Aiping Tan, Lingling Tian, Shouzhi Sun, Yan Wang","doi":"10.1145/3564858.3564906","DOIUrl":"https://doi.org/10.1145/3564858.3564906","url":null,"abstract":"Most of the current enterprise evaluation methods are based on a comprehensive index system. However, there are significant differences in the evaluation effectiveness of indicators and the difficulty of obtaining index data, which determines that a unified and comprehensive Index system cannot be adopted for different enterprises. Therefore, how to dynamically screen out the index with the least acquisition cost, meet the evaluation needs and not destroy the index relationship from the index system of related fields has become a significant problem. The current research results usually assume that the index is independent of each other and rarely consider the correlation constraints between different indexes. For this reason, this paper proposes a multi-index optimization problem based on correlation constraints (Multi-Index Optimization Based on Relevance Constraints, MIO-RC). MIO-RC is based on the evaluation value of each index, and the cost of index acquisition then selects the index set with the minimum cost that satisfies the expected contribution value. MIO-RC problem defines the correlation constraints between various evaluation indicators and defines a dynamic contribution value function based on enterprise characteristics and correlation indicators. In this paper, the MIO-RC problem is an NP-hard problem, and an IR-GA algorithm based on a genetic algorithm is designed to solve the MIO-RC problem under different constraints. Finally, this paper conducts a verification analysis based on many enterprise data sets. The experimental results show that: in terms of performance, compared with the simulated annealing algorithm and the particle swarm evolution algorithm, the IR-GA algorithm converges faster.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113968496","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}
For the green supply chain system consisting of a single manufacturer and a single retailer, considering the altruistic preferences of retailers, construct three subsidy strategies under three subsidy strategies: government subsidy to consumers, government subsidy to manufacturer production cost, and government subsidy to manufacturer R&D cost game model. Study the optimal decision of the manufacturer's wholesale price , green level, retailer's retail price and government subsidy level, and the effect of retailer's altruistic preference, manufacturer's R&D efficiency on the benefits of supply chain members. The study found that the retailer's altruistic preference has an impact on the manufacturer's wholesale price and retailer's price, and has a positive effect on the manufacturer's profit, retailer's profit, consumer utility and social welfare. The two modes of government subsidy to consumers and government subsidy to manufacturers' production cost can effectively improve the profits of each member of the supply chain and the overall social welfare.
{"title":"An Analysis of Green Supply Chain Pricing Strategy Considering Government Subsidies and Retailers' Altruistic Preference","authors":"Min-Ying Lu","doi":"10.1145/3564858.3564889","DOIUrl":"https://doi.org/10.1145/3564858.3564889","url":null,"abstract":"For the green supply chain system consisting of a single manufacturer and a single retailer, considering the altruistic preferences of retailers, construct three subsidy strategies under three subsidy strategies: government subsidy to consumers, government subsidy to manufacturer production cost, and government subsidy to manufacturer R&D cost game model. Study the optimal decision of the manufacturer's wholesale price , green level, retailer's retail price and government subsidy level, and the effect of retailer's altruistic preference, manufacturer's R&D efficiency on the benefits of supply chain members. The study found that the retailer's altruistic preference has an impact on the manufacturer's wholesale price and retailer's price, and has a positive effect on the manufacturer's profit, retailer's profit, consumer utility and social welfare. The two modes of government subsidy to consumers and government subsidy to manufacturers' production cost can effectively improve the profits of each member of the supply chain and the overall social welfare.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126457488","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}
X. Zheng, Fang-fang Miao, N. Chakpitak, Jianghong Yuan, Ze Duan, H. Xia, Chu Yi Huang, J. Gui
Laboratories produce large amounts of data for scientific experiments and management. However, traditional paper recording methods were lost easily and managed difficultly. Paper files took up a lot of space. Even worse, the contents of the document could be easily manipulated. In recent years, with a growing number of experimental projects cooperation between universities and enterprises, many problems have emerged, such as the ownership of experimental data is not clear, and, the data transmitted online is easily leaked. Considering these problems, this study proposes to use data architecture to manage laboratories relevant data. This means that valuable data needs to be protected, packaged and traded as products. DOSA is a data-centric architecture. The advantage of DOSA is that it binds data and ownership together, protects data with key technologies, and enables secure sharing. This research designs the whole transaction process of experimental data products based on DOSA. In this process, all experimental data is protected by encryption technology to ensure its security. This paper proposes a data architecture as a platform to package experimental data into data products for trading and prevent experimental data fraud from the source. Through the SM2 algorithm and the toolbox Gmssl, the problem of data leakage is solved in the process of data product transaction, and the safe circulation and transaction of laboratory data is realized. After using the Python language to encrypt the laboratory data with the tools provided by the data architecture, it can realize the safe and cross-domain sharing of data off the platform.
{"title":"Construction and implementation of trading framework for laboratory data based on DOSA","authors":"X. Zheng, Fang-fang Miao, N. Chakpitak, Jianghong Yuan, Ze Duan, H. Xia, Chu Yi Huang, J. Gui","doi":"10.1145/3564858.3564861","DOIUrl":"https://doi.org/10.1145/3564858.3564861","url":null,"abstract":"Laboratories produce large amounts of data for scientific experiments and management. However, traditional paper recording methods were lost easily and managed difficultly. Paper files took up a lot of space. Even worse, the contents of the document could be easily manipulated. In recent years, with a growing number of experimental projects cooperation between universities and enterprises, many problems have emerged, such as the ownership of experimental data is not clear, and, the data transmitted online is easily leaked. Considering these problems, this study proposes to use data architecture to manage laboratories relevant data. This means that valuable data needs to be protected, packaged and traded as products. DOSA is a data-centric architecture. The advantage of DOSA is that it binds data and ownership together, protects data with key technologies, and enables secure sharing. This research designs the whole transaction process of experimental data products based on DOSA. In this process, all experimental data is protected by encryption technology to ensure its security. This paper proposes a data architecture as a platform to package experimental data into data products for trading and prevent experimental data fraud from the source. Through the SM2 algorithm and the toolbox Gmssl, the problem of data leakage is solved in the process of data product transaction, and the safe circulation and transaction of laboratory data is realized. After using the Python language to encrypt the laboratory data with the tools provided by the data architecture, it can realize the safe and cross-domain sharing of data off the platform.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129892816","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}
Consumers may not show up in the consumption time after the reservation. In consideration of this no-show behavior, this paper incorporates it into dynamic pricing problem in the airline industry. Low cost carrier is chosen to analyze retailer's optimal pricing problem. Dynamic pricing model is formulated from inventory perspective. Optimal analysis shows that, there is a unique optimal solution for this pricing problem. It is also given that consumer's no-show probability has an effect on the expected revenue. Numerical analysis is used to verify the result. Besides, research finding shows that the effect of consumers’ no-show probability on optimal decision depends on the inventory level. The analysis findings provide some insights to managers in the industry with perishable assets.
{"title":"Optimal Dynamic Pricing for Perishable Assets with Consumer's No-show Behavior","authors":"Ying Li, Guihang Guo","doi":"10.1145/3564858.3564912","DOIUrl":"https://doi.org/10.1145/3564858.3564912","url":null,"abstract":"Consumers may not show up in the consumption time after the reservation. In consideration of this no-show behavior, this paper incorporates it into dynamic pricing problem in the airline industry. Low cost carrier is chosen to analyze retailer's optimal pricing problem. Dynamic pricing model is formulated from inventory perspective. Optimal analysis shows that, there is a unique optimal solution for this pricing problem. It is also given that consumer's no-show probability has an effect on the expected revenue. Numerical analysis is used to verify the result. Besides, research finding shows that the effect of consumers’ no-show probability on optimal decision depends on the inventory level. The analysis findings provide some insights to managers in the industry with perishable assets.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129139810","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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