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Online Channel Usage and Product Innovation? The Moderating Effects of Inter-Organization Interactions 在线渠道使用和产品创新?组织间互动的调节效应
Pub Date : 2022-06-30 DOI: 10.47363/jesmr/2022(3)151
Leinan Zhang
With the development of internet, the use of online channels has become a hot issue in manufacturing industry. However, there are hardly any researches have studied the relationship between the innovation of manufacturing enterprises and their use of online channels. This study conducts a hierarchical regression on the basis of 116 answer sheets answered by different employees working in different manufacturing enterprises as research objects, and analysis. The results suggest that the online channel usage of a manufacturing enterprise will have a positive effect on its practice of incremental innovation and the interaction between the company of its customers will be a partial mediator. The results also indicate that the online channel usage of a manufacturing enterprise will have a positive effect on its practice of radical innovation and the interaction between the company of its customers will be a partial mediator
随着互联网的发展,在线渠道的利用已成为制造业的热点问题。然而,对制造业企业创新与在线渠道利用之间关系的研究却很少。本研究以不同制造企业不同员工的116份答题卡为研究对象,进行层次回归分析。研究结果表明,制造业企业的在线渠道使用对其渐进式创新实践具有正向影响,企业与客户之间的互动将是部分中介。研究结果还表明,制造业企业的在线渠道使用对其激进创新实践具有正向影响,企业与客户之间的互动将是部分中介
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引用次数: 0
Spillovers of Political Instability and Covid 19 Pandemic Crisis on Tunisian Sectorial Stock Price Returns 政治不稳定和Covid - 19大流行危机对突尼斯行业股价回报的溢出效应
Pub Date : 2022-06-30 DOI: 10.47363/jesmr/2022(3)152
Hassan Guenichi, Néjib Chouaibi
To examine the effects of Political instability (PI) and Covid-19 pandemic crisis measured by death rate (DR) on Tunisian sectorial stock market returns, our paper contributes to the financial literature by providing a new study of these effects based on DCC multivariate GARCH. These effects are specially examined in mean and variance returns equations. Our results show a not significant negative effect of both variables under study in mean but significant coefficients of IP and DR in variance equation. Despite the COVID-19 pandemic crisis positively impacts the investor’s fear sentiments; the conditional volatility of all sectorial stock market returns is higher in political instability period leading high-level risk in Tunisian stock market. Our findings offer useful policy and financial implications to the policy makers also to firms, investors and all stakeholders of the Tunisian stock market
为了检验政治不稳定(PI)和Covid-19大流行危机(以死亡率(DR)衡量)对突尼斯行业股票市场回报的影响,我们的论文通过提供基于DCC多变量GARCH的这些影响的新研究,为金融文献做出了贡献。这些影响在均值和方差返回方程中得到了特别的检验。我们的研究结果表明,两个变量在均值上的负向效应不显著,但在方差方程中,IP和DR的系数显著。尽管COVID-19大流行危机对投资者的恐惧情绪产生了积极影响;在政治不稳定时期,所有行业股票市场收益的条件波动率较高,导致突尼斯股市风险较高。我们的研究结果为政策制定者以及突尼斯股票市场的公司、投资者和所有利益相关者提供了有用的政策和金融启示
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引用次数: 0
A Systematic Survey of Business Intelligence Literature Using Machine Learning Techniques 使用机器学习技术的商业智能文献系统调查
Pub Date : 2022-06-30 DOI: 10.47363/jesmr/2022(3)150
E. Houstis, G. Fakas, M. Vavalis
Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information for assisting its management and decision process. The principal aims of this study are: a) to complement the existing literature surveys in the BI area by identifying publications for the period 2007 to 2020, b) to classify these publications according to nine research strategies, c) to classify them according to various well-defined research topic categories, and d) apply machine learning techniques to assess their relevance with the BI field. We have collect 332 papers using ‘Google Scholar’ and a set of related keywords to the field of BI. The results show that most of the papers appeared during the years 2015 and 2017 [1]. The classifications of the literature based on research strategies and research topic indicate that most papers address formal theory and/or reviews and belong to the “benefits” research topic category. Finally, we attempt to increase the accuracy of the classification of aggregated information by utilizing machine learning techniques and estimating the “relevance” with respect to BI discipline. It appears that the overall best individual classifier is the SVM polynomial with ROSE sampling on 80% of the original data using the ‘TDM’ feature space, following by the Neural Networks with ROSE sampling on 80% of the original data using the ‘Topic’ feature space. We furthermore apply various ensemble methods, and we estimate and analyze their performance
商业智能(BI)包括企业用于业务信息数据分析的策略和技术,以协助其管理和决策过程。本研究的主要目的是:a)通过确定2007年至2020年期间的出版物来补充商业智能领域的现有文献调查,b)根据九种研究策略对这些出版物进行分类,c)根据各种定义明确的研究主题类别对它们进行分类,d)应用机器学习技术来评估它们与商业智能领域的相关性。我们使用“Google Scholar”和一组与BI领域相关的关键字收集了332篇论文。结果显示,大部分论文出现在2015年和2017年[1]。基于研究策略和研究主题的文献分类表明,大多数论文涉及形式理论和/或综述,属于“利益”研究主题类别。最后,我们试图通过利用机器学习技术和估计与BI学科相关的“相关性”来提高汇总信息分类的准确性。总的来说,最好的个体分类器是使用“TDM”特征空间对80%的原始数据进行ROSE采样的SVM多项式,其次是使用“Topic”特征空间对80%的原始数据进行ROSE采样的神经网络。我们进一步应用了各种集成方法,并对它们的性能进行了估计和分析
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引用次数: 0
Impact of Oil Prices Volatility on Economic Activities in the MENA Countries 石油价格波动对中东和北非国家经济活动的影响
Pub Date : 2022-06-30 DOI: 10.47363/jesmr/2022(3)156
Chrigui Zouhair
This article studies oil price impact on economic growth. So, we shall use two samples namely, oil-exporting and importing countries during the period 1980 to 2019. The impact of oil prices on growth would be modeled by a non-linear model and we shall approximate the economic growth from GDP and we would refer to the four explanatory variables: the energy consumption (EC), the rate of inflation (RI), the stock of capital (SC), the balance of energy (BE). We may estimate the developed model by static technique Panel then we discuss the existence of a linear dynamic after testing the presence or absence of homogeneous and heterogeneous unit roots on Panel Data method. The results show a significant relationship between these two factors and groups
本文研究了油价对经济增长的影响。因此,我们将使用两个样本,即1980年至2019年期间的石油出口国和进口国。石油价格对增长的影响将通过非线性模型建模,我们将从GDP近似经济增长,我们将参考四个解释变量:能源消耗(EC),通货膨胀率(RI),资本存量(SC),能源平衡(be)。我们可以通过静态技术面板来估计开发的模型,然后在面板数据方法上测试齐次和异构单位根的存在与否后,讨论线性动态的存在性。结果表明,这两个因素和群体之间存在显著的相关关系
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引用次数: 0
Basel III in Sierra Leone: Delivering on it 《巴塞尔协议III》在塞拉利昂的实施
Pub Date : 2022-06-30 DOI: 10.47363/jesmr/2022(3)155
Leroy N Johnson
Basel III framework is employed to safeguard the banking sector stability in the international arena. Sierra Leone intends to employ Basel III framework for capital regulation in the banking ecosystem. This article attempts to stimulate discussions on policies to enable Basel III deliver on its goals in Sierra Leone. It elucidates on the significance and plausible strategies for implementing Basel III to facilitate delivery. Within this space the banking sector is anticipated to prop-up capital quality and quantity, propelling minimum liquidity requirement for banks, dampening systemic risks and enabling a smooth transition to Basel III Capital Framework. This study emphasizes a cooling-off period to adopting Basel III framework in Sierra Leone, a fine mix of micro and macro prudential regulations required to be deployed and ; the drive to fortify banks’ balance sheet in lieu of Basel III capital and liquidity framework adoption. This article recommends that the Sierra Leone’s Central Bank should boost market discipline and bolster effective and fficient supervision within the Basel perimeter. The need for cross-border supervision amongst domestics and foreign banks is more so portended. Furthermore, the Central Bank should also stand ready to always protect depositors’ funds and deploy crises management strategies including emergency liquidity support amongst others.
巴塞尔协议III框架是为了在国际舞台上维护银行业的稳定。塞拉利昂打算在银行生态系统中采用巴塞尔协议III框架进行资本监管。本文试图激发有关政策的讨论,以使巴塞尔协议III在塞拉利昂实现其目标。它阐明了实施巴塞尔协议III以促进交付的重要性和可行的战略。在此范围内,预计银行业将提高资本的质量和数量,推动对银行的最低流动性要求,抑制系统性风险,并实现向巴塞尔协议III资本框架的平稳过渡。本研究强调塞拉利昂采用巴塞尔协议III框架需要一段冷静期,需要部署微观和宏观审慎监管的良好组合;加强银行资产负债表的努力,以取代采用《巴塞尔协议III》(Basel III)的资本和流动性框架。本文建议塞拉利昂中央银行加强市场纪律,加强巴塞尔协议范围内的有效监管。国内银行和外国银行之间跨境监管的必要性更是如此。此外,央行还应随时准备保护存款人的资金,并部署危机管理策略,包括紧急流动性支持等。
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引用次数: 0
Challenges and Opportunities for Public Infrastructure REITs in China 中国公共基础设施房地产投资信托基金的挑战与机遇
Pub Date : 2022-06-30 DOI: 10.47363/jesmr/2022(3)154
Huizhen Wan
With the enactment of the “Notice on Promoting the Pilot Work Related to Real Estate Investment Trusts (REITs) in the Infrastructure Sector” in 2020, China has opened a new era of public infrastructure REITs on the mainland jurisdiction. Based on this background, this paper summarizes the complex operational structure of public infrastructure C-REIT, analyzes the potential legal risks of the structure accordingly, and proposes corresponding suggestions for improving the investor protection mechanism of public infrastructure C-REIT
随着2020年《关于推进基础设施领域房地产投资信托基金(REITs)试点工作的通知》的出台,中国开启了公共基础设施REITs在内地管辖范围内的新时代。基于此背景,本文总结了公共基础设施C-REIT复杂的运营结构,分析了该结构潜在的法律风险,并对完善公共基础设施C-REIT投资者保护机制提出了相应的建议
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引用次数: 0
Quality Assurance for Achievement of the Objectives of Basic Education in Kwara and Kogi State of Nigeria 实现尼日利亚夸拉州和科吉州基础教育目标的质量保证
Pub Date : 2022-03-31 DOI: 10.47363/jesmr/2022(3)147
Y. Ibrahim, Y. A. Fasasi, Ahmed Tahir Modibbo, Isiaka Salman Sulaiman
Basic education is vital to the national development. The government of the federal republic of Nigeria invested financial, human and material resources in it so that its objectives could be achieved. However, two decades after its implementation, the nation is yet to overcome most of economic and socio-political challenges it was meant to address. This could be due to poor quality graduates turned out from basic education institutions in particular and all level of education in general. Thus, there is need to investigate the quality management process in education system. Basic education provides the foundation for other levels of education and its quality would determine, to a large extent, the quality of education at higher levels. This paper therefore examines the quality assurance adopted in the implementation of basic education Programme and the extent of achievement of basic education objectives in Kwara and Kogi State of Nigeria with a view to suggesting possible ways of improvement
基础教育对一个国家的发展至关重要。尼日利亚联邦共和国政府为此投入了财政、人力和物质资源,以实现其目标。然而,在实施二十年后,该国仍未克服其旨在解决的大部分经济和社会政治挑战。这可能是由于基础教育机构和各级教育机构的毕业生质量差。因此,有必要对教育系统的质量管理过程进行研究。基础教育是其他各级教育的基础,其质量将在很大程度上决定较高各级教育的质量。因此,本文审查了尼日利亚夸拉州和科吉州在执行基础教育方案时所采取的质量保证和实现基础教育目标的程度,以期提出可能的改进方法
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引用次数: 0
Financial Sector Development and Economic Growth Nexus: Empirical Evidence from Sierra Leone 金融部门发展与经济增长关系:来自塞拉利昂的经验证据
Pub Date : 2022-03-31 DOI: 10.47363/jesmr/2022(3)149
Mohamed Ibrahim Justice Ganawah, Alusine Borbson Koroma
The study examines the nexus between financial sector development and economic growth in Sierra Leone over the period 1980-2018. The stationarity test result shows that the order of integration of variables included in the model was a mixture of I (0) and I (1). Therefore, the study employs the bounds testing approach to Cointegration and error correction models developed within the Autoregressive Distributed Lag (ARDL) framework to explore the long-and short-run effects of financial sector development on economic growth. The study uses two different measures of financial development including, credit to the private sector and broad money. The study also investigates whether there are other determinants of economic growth. Evidence of short-run dynamics was found amongst the various financial development indicators and economic growth. The results showed that credit to the private sector and broad money influenced economic growth in the short-run. Again, inflation and government consumption expenditure were found to impede economic growth in the short-run. Contrarily, Gross capital formation and FDI were found to stimulate economic growth in the short-run. The study recommends that policy makers should take caution in the choice of financial development indicator as a policy instrument for the attainment of growth and development. Again on the basis of empirical evidence, policies to improve the accessibility of affordable credit by the private sector, including small and medium scale enterprises should be enforced
该研究考察了1980年至2018年期间塞拉利昂金融部门发展与经济增长之间的关系。平稳性检验结果表明,模型中包含的变量的积分顺序是I(0)和I(1)的混合。因此,本研究采用自回归分布滞后(ARDL)框架下的协整和误差修正模型的边界检验方法,探讨金融部门发展对经济增长的长期和短期影响。该研究使用了两种不同的金融发展指标,包括私营部门信贷和广义货币。该研究还调查了经济增长是否存在其他决定因素。在各种金融发展指标和经济增长之间发现了短期动态的证据。结果表明,对私营部门和广义货币的信贷在短期内影响了经济增长。通货膨胀和政府消费支出在短期内阻碍了经济增长。相反,发现资本形成总额和外国直接投资在短期内刺激经济增长。该研究建议决策者在选择金融发展指标作为实现增长和发展的政策工具时应谨慎。同样,根据经验证据,应执行改善私营部门,包括中小型企业获得负担得起的信贷的政策
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引用次数: 0
Foreign Investment Flows in Bulgaria and Participation in Global Value Chains 保加利亚的外国投资流动与参与全球价值链
Pub Date : 2022-03-31 DOI: 10.47363/jesmr/2022(3)148
Emil Spassov Panushef
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引用次数: 0
Major Pulse and Oil Crops Production in South Omo Zone Southern Ethiopia 埃塞俄比亚南部南奥莫区的主要豆类和油料作物生产
Pub Date : 2021-09-30 DOI: 10.47363/jesmr/2021(2)138
K. Kusse
Increasing agricultural production and productivity of one’s country requires fostering the linkage between the agricultural and non-agricultural sectors that are growing in agriculture does not occur without non-agricultural sectors. The major pulse and oil crops production and productivity in the South Omo Zone is very low in relation to the land coverage due to poor improved agricultural technology utilization and low skill on-farm management practices by producers. To solve the major pulse and oil crops production and productivity problems, strong farmers training centers and research extension system are important. The study was conducted in major pulse and oil crop producing districts of South Omo Zone like Debub Ari, Malle, Bena-Tsemay, Hammer, and Dasenech Districts of South Omo Zone. The major pulse and oil crops grown in the area are haricot bean, field pea, mug bean, ground net, sesame, and sunflower.
提高一个国家的农业生产和生产力需要促进农业和非农业部门之间的联系,而农业的发展离不开非农业部门。南奥莫区主要豆类和油料作物的产量和生产力与土地覆盖率相比非常低,原因是改良农业技术利用率差,生产者的农场管理技术水平低。要解决主要的脉冲和油料作物的生产和生产力问题,强大的农民培训中心和研究推广体系是重要的。该研究在南奥莫区的主要脉冲和油料作物产区进行,如南奥莫区的Debub Ari、Malle、Bena-Tsemay、Hammer和Dasenech地区。该地区种植的主要豆类和油料作物是扁豆、豇豆、马口豆、磨网、芝麻和向日葵。
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引用次数: 0
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Journal of Economics & Management Research
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