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Assessing the Effects of Macroeconomic Variables on Economic Welfare in Ghana 评估宏观经济变量对加纳经济福利的影响

MANAGEMENT AND ECONOMICS REVIEW Pub Date : 2024-02-10 DOI: 10.24818/mer/2024.01-09

S. Alnaa, Juabin Matey

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引用次数: 0

The Non-Agricultural Labour Productivity Effects of Working Time: South Africa’s Case 工作时间对非农业劳动生产率的影响：南非案例

MANAGEMENT AND ECONOMICS REVIEW Pub Date : 2024-02-10 DOI: 10.24818/mer/2024.01-04

Chama Chipeta, T. Habanabakize, M. Zerihun

{"title":"The Non-Agricultural Labour Productivity Effects of Working Time: South Africa’s Case","authors":"Chama Chipeta, T. Habanabakize, M. Zerihun","doi":"10.24818/mer/2024.01-04","DOIUrl":"https://doi.org/10.24818/mer/2024.01-04","url":null,"abstract":"The purpose of the current study is to assess the impact of working time on non-agricultural labour productivity in the South African economy. To achieve this objective, the study utilised the Autoregressive Distributed Lag Model (ARDL) and correlation analysis to analyse the effects of different working time arrangements on labour productivity. The results of the study indicated that weekly working hours have a significant influence on worker productivity. Working between 30 and 39 hours per week was found to greatly enhance productivity both in the short and long term. Additionally, working between 15 and 29 hours per week showed a slight positive effect on productivity. Conversely, working more than 39 hours per week (between 40 and 45 hours) only increased productivity in the short term, while working less than 29 hours and exceeding 45 hours per week had a negative impact on labour productivity. These findings suggest that an optimal working schedule to maximise labour productivity is between 30 and 40 hours per week, with overtime not exceeding 5 hours per week. Establishing a proper schedule of weekly working hours is crucial for maximising labour productivity and reducing work-related stress, which can impede productivity.","PeriodicalId":223559,"journal":{"name":"MANAGEMENT AND ECONOMICS REVIEW","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139846984","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

Economic Performance of the Economy of Kosovo and Metohija 科索沃和梅托希亚的经济表现

MANAGEMENT AND ECONOMICS REVIEW Pub Date : 2024-02-10 DOI: 10.24818/mer/2024.01-08

R. Lukić

{"title":"Economic Performance of the Economy of Kosovo and Metohija","authors":"R. Lukić","doi":"10.24818/mer/2024.01-08","DOIUrl":"https://doi.org/10.24818/mer/2024.01-08","url":null,"abstract":"The problem of analysing the factors of the dynamics of the economic performance of every economy, which means the economy of the southern provinces of Serbia, the economy of Kosovo and Metohija, is continuously very current, challenging, significant, and complex. Adequate control of key factors can significantly influence the achievement of the target economic performance of any economy. The application of multi-criteria decision-making methods enables adequate control of the key factors of the economic performance of each economy. Taking this into account, this paper analyses the dynamics of the economic performance of the economy of Kosovo and Metohija in the period 2013 – 2022 based on the LMAW-DNMA method. In the top five years according to the economic performance of the economy of Kosovo and Metohija according to the LMAW-DNMA methods, it falls in the following order: 2022, 2021, 2019, 2017 and 2018. The worst economic performance of the economy of Kosovo and Metohija was achieved in 2020, partly due to the corona virus pandemic. Recently, the economic performance of the economy of Kosovo has improved significantly and Metohija. Adequate management of the analysed statistical variables (gross domestic product, inflation, agriculture, industry, export, import, capital, income, and taxes) influenced this. Similarly, the economic climate, foreign direct investments, the energy crisis, the digitalisation of the company’s entire operation, and other factors. Their adequate control can greatly influence the achievement of the target economic performance of the economy of Kosovo and Metohija.","PeriodicalId":223559,"journal":{"name":"MANAGEMENT AND ECONOMICS REVIEW","volume":"113 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139786375","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

The Support of Human Resources Department to Evaluate Business Performance within beyond COVID-19 Crisis 在 COVID-19 危机之后，人力资源部门对评估业务绩效的支持

MANAGEMENT AND ECONOMICS REVIEW Pub Date : 2024-02-10 DOI: 10.24818/mer/2024.01-07

Iulia Burlac, Adeline MBEY SENDEGUE

引用次数: 0

The Non-Agricultural Labour Productivity Effects of Working Time: South Africa’s Case 工作时间对非农业劳动生产率的影响：南非案例

MANAGEMENT AND ECONOMICS REVIEW Pub Date : 2024-02-10 DOI: 10.24818/mer/2024.01-04

Chama Chipeta, T. Habanabakize, M. Zerihun

{"title":"The Non-Agricultural Labour Productivity Effects of Working Time: South Africa’s Case","authors":"Chama Chipeta, T. Habanabakize, M. Zerihun","doi":"10.24818/mer/2024.01-04","DOIUrl":"https://doi.org/10.24818/mer/2024.01-04","url":null,"abstract":"The purpose of the current study is to assess the impact of working time on non-agricultural labour productivity in the South African economy. To achieve this objective, the study utilised the Autoregressive Distributed Lag Model (ARDL) and correlation analysis to analyse the effects of different working time arrangements on labour productivity. The results of the study indicated that weekly working hours have a significant influence on worker productivity. Working between 30 and 39 hours per week was found to greatly enhance productivity both in the short and long term. Additionally, working between 15 and 29 hours per week showed a slight positive effect on productivity. Conversely, working more than 39 hours per week (between 40 and 45 hours) only increased productivity in the short term, while working less than 29 hours and exceeding 45 hours per week had a negative impact on labour productivity. These findings suggest that an optimal working schedule to maximise labour productivity is between 30 and 40 hours per week, with overtime not exceeding 5 hours per week. Establishing a proper schedule of weekly working hours is crucial for maximising labour productivity and reducing work-related stress, which can impede productivity.","PeriodicalId":223559,"journal":{"name":"MANAGEMENT AND ECONOMICS REVIEW","volume":" 685","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139787266","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

The Support of Human Resources Department to Evaluate Business Performance within beyond COVID-19 Crisis 在 COVID-19 危机之后，人力资源部门对评估业务绩效的支持

MANAGEMENT AND ECONOMICS REVIEW Pub Date : 2024-02-10 DOI: 10.24818/mer/2024.01-07

Iulia Burlac, Adeline MBEY SENDEGUE

引用次数: 0

Proposal of a Customer Satisfaction Index Model (Part of the Antecedents) Adopted to the Algerian Context 根据阿尔及利亚国情提出客户满意度指数模型（部分前因）建议

MANAGEMENT AND ECONOMICS REVIEW Pub Date : 2024-02-10 DOI: 10.24818/mer/2024.01-03

Leila MOHAMMED EL HADJ, Djalel Eddine Yahiaoui, Abir Sayah

{"title":"Proposal of a Customer Satisfaction Index Model (Part of the Antecedents) Adopted to the Algerian Context","authors":"Leila MOHAMMED EL HADJ, Djalel Eddine Yahiaoui, Abir Sayah","doi":"10.24818/mer/2024.01-03","DOIUrl":"https://doi.org/10.24818/mer/2024.01-03","url":null,"abstract":"Measuring customer satisfaction is an efficient method for evaluating organisational performance of firms, especially in today’s competitive environment. In the Algerian context, where the industry is developing rapidly and the customer satisfaction and its antecedents have an importance for the most of the Algerian companies, it becomes crucial to explore the factors influencing customer satisfaction in the industrial sector. Therefore, the main objective of this study is to develop a specific model for a customer satisfaction index in the Algerian industrial environment. The inexistence of this type of models in the Algerian context has provided difficulties to companies in detecting what affects the satisfaction of their customers; this research can help them to find out what are the factors that impact on the customer satisfaction and improve it. To achieve this, we have examined previous studies conducted in other countries to identify the antecedents of customer satisfaction. The research methodology employed in this study follows a quantitative approach. We conducted a questionnaire survey among a sample of 203 customers of the BCR brand, which specialises in faucet production. The questionnaire was designed to measure various factors, including corporate image, customer expectations, perceived quality, perceived value, price, and handling of complaints. The collected data was analysed using SPSS software, and the model will be constructed using Smart-PLS software. The findings of the study confirmed that three variables significantly impact customer satisfaction in the studied context: perceived value, price, and perceived quality, specifically focusing on the sustainability dimension. Based on these results, we have developed a customer satisfaction index model, specifically focusing on the antecedents’ part, which incorporates these three variables.","PeriodicalId":223559,"journal":{"name":"MANAGEMENT AND ECONOMICS REVIEW","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139786823","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

Assessing the Effects of Macroeconomic Variables on Economic Welfare in Ghana 评估宏观经济变量对加纳经济福利的影响

MANAGEMENT AND ECONOMICS REVIEW Pub Date : 2024-02-10 DOI: 10.24818/mer/2024.01-09

S. Alnaa, Juabin Matey

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引用次数: 0

The Impact of Financial Diagnosis Determinants on Corporate Financial Performance 财务诊断决定因素对企业财务绩效的影响

MANAGEMENT AND ECONOMICS REVIEW Pub Date : 2024-02-10 DOI: 10.24818/mer/2024.01-11

Lamine Tarhlissia, Amira Benachour

引用次数: 0

Bibliometric Analysis of Artificial Intelligence in the Scope of E-Commerce: Trends and Progress over the Last Decade 电子商务领域的人工智能文献计量分析：过去十年的趋势与进展

MANAGEMENT AND ECONOMICS REVIEW Pub Date : 2024-02-10 DOI: 10.24818/mer/2024.01-01

Samira Frioui, Amel Graa

{"title":"Bibliometric Analysis of Artificial Intelligence in the Scope of E-Commerce: Trends and Progress over the Last Decade","authors":"Samira Frioui, Amel Graa","doi":"10.24818/mer/2024.01-01","DOIUrl":"https://doi.org/10.24818/mer/2024.01-01","url":null,"abstract":"Artificial intelligence (AI) techniques are commonly used in e-commerce, but there is little bibliometric analysis in this field. Using a bibliometric approach, it conducted a comprehensive study over the past decade to assess the research landscape, progress, and emerging trends in the field of artificial intelligence in e-commerce. Data was collected from related literature in the Scopus database from 2014 to the first half of 2023. VOSviewer and R studio were used to perform the bibliometric analysis of AI in e-commerce. The author status, nations, affiliations, annual publications, keywords, and journals were all evaluated in this way. The oldest relevant article was published in 1994, and article reviews were the most common form of document among the 669 manuscripts. Furthermore, the most popular research areas in this topic are business, management, and accounting. Additionally, the most productive journal is Proceedings of the International Conference on Electronic Business (ICEB). Moreover, the UK is the country that has published the most articles, and in terms of co-authorship, it has the strongest overall link. Finally, the keyword co-occurrence network indicates that the most important keywords are machine learning, e-commerce, recommender systems, fraud detection, decision-making systems, data mining, and online retailing.","PeriodicalId":223559,"journal":{"name":"MANAGEMENT AND ECONOMICS REVIEW","volume":" 529","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139787362","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