Foreign Direct Investment in Ghana’s mining sector and Its Impact on Economic Growth

国外直接投资对于发展尤其是对于像加纳一样的发展中国家的发展，是一个非常有价值的手段。国外直接投资在处理金融资源短缺和技术技能方面发挥作用。因此，它是低收入国家政策决策者通过各种渠道注意的焦点。尤其,国外直接投资可以很好的帮助现有资源实现投资以及资本形成（的功能）。 本文的目的就是研究过去几年加纳采矿部门的国外直接投资分配情况，以及国外直接投资是怎样促进国内外经济的发展。本文测量了采矿部门在帮助建立更强健经济方面的举措。 本文的研究显示，加纳的国外直接投资继续集中于采矿部门。就国外直接投资的区域分配来说，GreaterAccra仍然吸收了大量国外直接投资的流入。因此，紧接着本文研究了想要吸引...Foreign Direct Investment (FDI) is a valuable tool for development especially in developing countries such as Ghana. FDI has the ability of dealing with two major issues which are, shortages in financial resources and technology skills, thus, it is the center of attention for policy makers in low-income countries, through various channels. FDI in particular helps add to the already existing resour...学位：经济学硕士院系专业：经济学院国际硕士_政治经济学学号：1522008115373

A Bundled Approach to Explaining Technological Change: The Case of E-estonia

Explaining change is an abstract endeavor. Many management scholars have adopted metaphors to explain change. In this paper, we discuss technological change. We use a historical and theoretical approach to review and elaborate on concepts and context about a specific case. We discuss the limitations of each approach proffered and the implications thusly on technological change. We present plurality and multiplicity of perspectives through socio-technical lens to explain technological change contextually on an organizational level. We show by using our model how technology absorption and diffusion can be accelerated through artefactual institutions to engineer social change. The multiplicity of perspectives and plurality of our arguments creates a fine explanation of the e-Estonia case as an example. Keywords: artefactual institutions, e-Estonia, social change, technological trajectorie

An Analysis of the Effect of Consumer Dissatisfaction on Negative Word of Mouth

Consumers engage in Word of mouth for due to satisfaction or dissatisfaction. Word of mouth is a very powerful tool that can make or break an organization. A satisfied consumer will spread positive word of mouth while a consumer who is dissatisfied will spread negative word of mouth about the products and services. In this paper we test empirically to see how Xiaomi customers in China and a few other countries such as United States of America, Australia and Africa, including South Africa express their dissatisfaction level through negative word of mouth using SPSS as a means of analysis. Main findings and conclusions are discussed. Keywords: Dissatisfaction, word of mouth, xiaomi, no company feedback, consumer feedbac

Feedforward neural network model estimating pollutant removal process within mesophilic upflow anaerobic sludge blanket bioreactor treating industrial starch processing wastewater

In this a, three-layered feedforward-backpropagation artificial neural network (BPANN) model was developed and employed to evaluate COD removal an upflow anaerobic sludge blanket (UASB) reactor treating industrial starch processing wastewater. At the end of UASB operation, microbial community characterization revealed satisfactory composition of microbes whereas morphology depicted rod-shaped archaea. pH, COD, NH, VFA, OLR and biogas yield were selected by principal component analysis and used as input variables. Whilst tangent sigmoid function (tansig) and linear function (purelin) were assigned as activation functions at the hidden-layer and output-layer, respectively, optimum BPANN architecture was achieved with Levenberg-Marquardt algorithm (trainlm) after eleven training algorithms had been tested. Based on performance indicators such the mean squared errors, fractional variance, index of agreement and coefficient of determination (R), the BPANN model demonstrated significant performance with Rreaching 87%. The study revealed that, control and optimization of an anaerobic digestion process with BPANN model was feasible