Journal of Economics and Management Sciences最新文献

AI-Driven Solutions for a Low-Carbon Transition: Evaluating Effectiveness and Limitations in Climate Change Mitigation 人工智能驱动的低碳转型解决方案：评估减缓气候变化的有效性和局限性

Journal of Economics and Management Sciences Pub Date : 2024-05-07 DOI: 10.30560/jems.v7n2p15

Xinyi Huang

{"title":"AI-Driven Solutions for a Low-Carbon Transition: Evaluating Effectiveness and Limitations in Climate Change Mitigation","authors":"Xinyi Huang","doi":"10.30560/jems.v7n2p15","DOIUrl":"https://doi.org/10.30560/jems.v7n2p15","url":null,"abstract":"Climate change, primarily caused by human activities, poses a significant global challenge. Countries worldwide are integrating efforts to combat climate change through initiatives such as the Paris Agreement and setting targets to reach net-zero emissions by 2050. This paper explores the potential of artificial intelligence (AI) as a promising solution to address climate change, particularly through the analysis of mass data. AI can aid in environmental decision-making processes, optimize renewable energy use, and accelerate the global transition to a low-carbon economy. Using public data from the OECD, the study investigates the effectiveness of AI in promoting a low-carbon economy by examining its impact on greenhouse gas emissions, carbon footprint, investment in research and development, renewable energy production, and recycling rates. The findings suggest that AI has been considerably effective in supporting the growth of renewable energy and recycling while restraining gas emissions and carbon footprint. However, the study also identifies potential limitations, such as the carbon release from AI itself, and suggests further improvements to AI models.","PeriodicalId":234310,"journal":{"name":"Journal of Economics and Management Sciences","volume":"30 33","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141004584","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}

引用次数: 0

An Alternative Multiple Contracts Version of the SACRE SACRE的可选多合同版本

Journal of Economics and Management Sciences Pub Date : 2023-07-17 DOI: 10.30560/jems.v6n2p19

Clovis de Faro, G. Lachtermacher

引用次数: 1

Search Algorithms for a System of Different Representatives of Subsets of a Finite Set 有限集子集的不同代表系统的搜索算法

Journal of Economics and Management Sciences Pub Date : 2023-06-07 DOI: 10.30560/jems.v6n2p11

D. Terzi

引用次数: 0

Development of Sustainability Report Research Tren in Indonesia 印尼可持续发展报告研究趋势的发展

Journal of Economics and Management Sciences Pub Date : 2023-05-01 DOI: 10.30560/jems.v6n2p1

Rizky Yuniar Sururi, Evi Gantyowati

引用次数: 0

Bibliometric Analysis Research on Audit Nexus in Corporate Governance 公司治理审计关联的文献计量分析研究

Journal of Economics and Management Sciences Pub Date : 2023-04-03 DOI: 10.30560/jems.v6n1p21

I. Antwi, E. Attefah, Jonas Bawua, A. O. Nkwantabisa

引用次数: 0

The Role of Leaders’ Regulatory Focus Towards Creativity and Safety Ambidextrous Behavior. A Conceptual View 领导者的监管焦点对创造性和安全双灵巧行为的作用。概念性观点

Journal of Economics and Management Sciences Pub Date : 2023-02-27 DOI: 10.30560/jems.v6n1p6

M. S. Alqahtani

引用次数: 0

Identification of the Benefits of the Usage of Information Technology in Managing Warehouses in Supply Chain 在供应链仓库管理中使用信息技术的好处识别

Journal of Economics and Management Sciences Pub Date : 2023-01-10 DOI: 10.30560/jems.v6n1p1

Jouhara Al Habsi, A. Kalbani, Asad Ullah

{"title":"Identification of the Benefits of the Usage of Information Technology in Managing Warehouses in Supply Chain","authors":"Jouhara Al Habsi, A. Kalbani, Asad Ullah","doi":"10.30560/jems.v6n1p1","DOIUrl":"https://doi.org/10.30560/jems.v6n1p1","url":null,"abstract":"The aim of this research is to identify the most important benefits of using the Information technology in managing the warehouses. Knowing that the warehouse departments make use of the Warehouse management Systems (WMS) to manage their warehousing activities, but the system performs limited functions such as contacting the suppliers, as for the rest of operations such as knowing the amount of inventory, information regarding stock movement, knowing the arrival and departure schedules of trucks and many other functions etc., are performed by the warehousing staffs manually by using the papers in order to the record data. The study seeks to highlight the current use of IT in managing warehouse and identifying the shortcomings of WMS in managing warehouse. This paper will make use of literature review methodology, which will identify publications related to study highlighting the benefits of usage of information technology in managing the warehouse. The findings of the study will highlight the important benefits of using information technology in managing the Warehouses leading to more profits and efficiency for the organizations. The use of modern technology, such as big data in stock management improves the pace of work, if there is sufficient knowledge and skill when using these techniques.","PeriodicalId":234310,"journal":{"name":"Journal of Economics and Management Sciences","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130292427","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}

引用次数: 1

Estimating the Role of Government in Socio-Economic Development in South Africa 估计政府在南非社会经济发展中的作用

Journal of Economics and Management Sciences Pub Date : 2022-12-31 DOI: 10.30560/jems.v5n2p34

V. Gumede

{"title":"Estimating the Role of Government in Socio-Economic Development in South Africa","authors":"V. Gumede","doi":"10.30560/jems.v5n2p34","DOIUrl":"https://doi.org/10.30560/jems.v5n2p34","url":null,"abstract":"The paper examines the relationship between government and socio-economic development in South Africa. The analysis focuses on 1996-2020. Various estimations were undertaken, through the Autoregressive Distributed Lag (ARDL) model, to empirically examine the role of government in socio-economic development in South Africa. Because of the unit root that typically characterizes macroeconomic series, the unit root test using the Augmented Dick Fuller (ADF) test with constant, and trend was done. In addition, the ARDL bound tests were undertaken. The results confirm that government has an important role to play in the economy. However, results show that economic growth does not necessarily translate to socio-economic development although government spending does. In addition, results also confirm that institutions and educational spending are important for social and economic development. For instance, improvements in the quality of institutions increases the human development index. In the same vein, there is a strong positive correlation between increased socio-economic development and spending on education. Results show that the quality of institutions is important for both economic growth and socio-economic development. Overall, the findings support the view that governments should be active in facilitating social and economic development. This is more so in instances where economic performance weakens due to exogenous factors such as the coronavirus pandemic. It is worth highlighting that the baseline ARDL results show that the correlation between gross domestic product (GDP) and its prior values is statistically significant, indicating a meaningful relationship between GDP and socio-economic development.","PeriodicalId":234310,"journal":{"name":"Journal of Economics and Management Sciences","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125389945","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}

引用次数: 0

Jobs not Threatened by Automation in the Future in the Slovak Republic 斯洛伐克共和国未来不会受到自动化威胁的工作

Journal of Economics and Management Sciences Pub Date : 2022-12-14 DOI: 10.30560/jems.v5n2p22

Andrea Horváthová, Michal Hrnčiar, E. Rievajová

{"title":"Jobs not Threatened by Automation in the Future in the Slovak Republic","authors":"Andrea Horváthová, Michal Hrnčiar, E. Rievajová","doi":"10.30560/jems.v5n2p22","DOIUrl":"https://doi.org/10.30560/jems.v5n2p22","url":null,"abstract":"Industry 4.0 brings with it an increase in new forms and methods of work based on automation and digitization, which gradually threaten jobs in individual countries. Most studies published on this topic describe the expected proportion of jobs that are threatened with extinction. The aim of the presented study is to investigate the opportunities that the introduction of Industry 4.0 brings with it. \u0000The presented study calculates the share of jobs with a low risk of being threatened by automation in the Slovak Republic. This is a unique approach to researching the impact of innovation trends on the labor market, which identifies jobs that are difficult to replace by machines. The calculation of the share of jobs with a low risk of being threatened by automation is based on the connection of two data sources – National system of occupations (a description of the skills required for every job in the Slovak Republic) and Information system on the price of work (modern and effective national labour cost statistical survey focus on wage earnings, including the calculation of the number of employees in individual job positions). \u0000Of the total number of 2 million working people in the Slovak Republic, 24% will not be threatened by automation. These are jobs that require at least one of the following skills for their performance: creativity, organizing and planning work, the ability to make decisions and take responsibility, leadership skills, critical thinking and talent. Several authors investigating the issue of innovations and their effects on jobs define the above-mentioned skills as difficult to be replaced by machines. \u0000The findings presented in the paper create space for further discussion at the national level about which skills and competences will need to be supported in lifelong learning among employees in order to prevent the high rate of replacement of jobs by automation, which the OECD predicts for the Slovak Republic.","PeriodicalId":234310,"journal":{"name":"Journal of Economics and Management Sciences","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116154155","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}

引用次数: 0

Corporate Sustainable Practices and Profitability – Compatible? 企业可持续发展的做法和盈利能力-兼容?

Journal of Economics and Management Sciences Pub Date : 2022-10-12 DOI: 10.30560/jems.v5n2p13

M. Das

引用次数: 0