{"title":"Analysis of Shared Parking Game Model under Dynamic Parking Pricing","authors":"Lv Ke, Yuqiang Feng, Nan Jiang, Miao Wu","doi":"10.61187/mi.v2i1.105","DOIUrl":"https://doi.org/10.61187/mi.v2i1.105","url":null,"abstract":"In recent years, the problem of \"parking difficulty\" has led to a large number of illegal parking incidents. The shared parking mode has been considered as an effective way to alleviate the conflict between parking supply and demand and urban traffic pressure. To address the issue of illegal parking and promote the development of shared parking, this paper constructs an evolutionary game model with shared platforms and motor vehicle drivers as the main entities. The study investigates the evolutionary stability strategy of the model, conducts sensitivity analysis on model parameters, and further analyzes the impact of highly sensitive parameters on the evolutionary paths of both players in the game. Finally, numerical simulations are performed on dynamic parking pricing standard. The research findings demonstrate that the sensitivity of discounts received by drivers from shared platforms and the additional revenue gained by the shared platform is higher than that of other parameters. Moderately increasing the penalty for illegal parking and the additional revenue of the shared platform can encourage drivers to choose legal parking and promote the development of shared parking. Under given parameterized and periodic parking pricing standard, finally, according to the particle swarm optimization algorithm, a set of relatively optimal parameter values is derived to enable the model to evolve rapidly into a stable state where drivers choose to park legally and the shared platform selects surrounding parking lots. It can effectively reduce the frequency of illegal parking.","PeriodicalId":185424,"journal":{"name":"Management & Innovation","volume":"133 25","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141811565","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}
{"title":"Adaptation and Feasibility Study of Green GDP Accounting System in China","authors":"Yanan Ge, Yaqi Ma, Zihao Wang","doi":"10.61187/mi.v1i1.13","DOIUrl":"https://doi.org/10.61187/mi.v1i1.13","url":null,"abstract":"In recent years, with the increasing risk of global climate change, the worldwide discussion on green economy has been further intensified. In this paper, based on the central framework of SEEA, we analyze the impact of the environment on the economy from multiple perspectives and establish a green GDP accounting model. In addition, a new method combining random forest regression as well as CRITIC weighting method is used to select reasonable indicators. The accounting formula derived from this new method is used to calculate the green GDP in 2000, 2005, 2010, 2015, and 2020, and to compare the differential contribution of GGDP and GDP of the selected countries to measure the efforts made by each country for environmental protection, and the results show that it is worthwhile to adopt GGDP. This paper focuses on China as the main target for the case study and finds the strongest link between GGDP and clean energy among the indicators. The impact generated by GGDP is also discussed using the gray prediction method. Finally, a statistical approach is used to visualize the growth rate of the aging population, and it is found that the implementation of GGDP is beneficial to the environment, the economy, and the lives of citizens.","PeriodicalId":185424,"journal":{"name":"Management & Innovation","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133706159","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}
{"title":"An overview of behavioral finance research in China and abroad — Bibliometric analysis based on Gephi and Cite Space","authors":"Yufeng Hu, Kaiwei Yang","doi":"10.61187/mi.v1i1.6","DOIUrl":"https://doi.org/10.61187/mi.v1i1.6","url":null,"abstract":"The purpose of this study is to use Gephi and Cite Space visualization software to conduct bibliometric analysis on the scientific field of behavioral finance at home and abroad, and to explore the research situation, research hotspots and gaps of behavioral finance in China and abroad. The literature comes from CSSCI journals included in CNKI and Sci journals included in Web of Science from 2001 to October 31,2022, including 493 CSSCI and 475 Sci. The analysis includes keyword co-occurrence, authors, institutions, burst words and time lines. The study found that: (1) the study of behavioral finance, domestic from the beginning of the rise gradually began to study widely but from 2009 gradually no longer popular, while the number of foreign research is still on the rise; (2) foreign research authors and institutions usually form a wide range of cooperation, while the domestic authors and institutions are relatively independent; (3) The theoretical basis of domestic and foreign research is prospect theory, but abroad has generally entered the stage of theoretical application. In addition, the contribution of this paper is to analyze the development of research topics covered by behavioral finance, and provide reference suggestions for the development of behavioral finance.","PeriodicalId":185424,"journal":{"name":"Management & Innovation","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117129588","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}
{"title":"Characters Construction of HRBP Competency Model for Chinese Intelligent Manufacturing Enterprises in the Era of Digital Economy","authors":"J. Zeng, Lin-xiu Wang","doi":"10.61187/mi.v1i1.18","DOIUrl":"https://doi.org/10.61187/mi.v1i1.18","url":null,"abstract":"To adapt to the digital economy era, many intelligent manufacturing enterprises in China are transitioning from traditional professional transactional management to a human resource business partner model with customer value as the core concept. However, the lack of clear HRBP role definition can pose a challenge in selecting an HRBP who fully aligns with the business department's needs, ultimately resulting in human resources management mode transformation failures. This study employs both empirical analysis and survey research to investigate the specific practices of HRBP positions within intelligent manufacturing enterprises. The HRBP competency model for intelligent manufacturing enterprises is preliminarily constructed through job analysis, behavioral event interview, and questionnaire survey methods. The initial model has undergone reliability and validity tests, with the weights of competency dimensions determined by both subjective judgment and importance proportion methods. The paper presents a HRBP competency model for intelligent manufacturing enterprises, which comprises of 6 competency dimensions and 21 specific indicators. Based on the model, targeted strategies are proposed to enhance HRBP competencies in intelligent manufacturing enterprises. This model serves as practical guidance for human resource management in rapidly growing intelligent manufacturing enterprises in China.","PeriodicalId":185424,"journal":{"name":"Management & Innovation","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127797710","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}