December 2019

 
December 2019

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A PARTICIPATIVE MANAGEMENT OF THAI AGRICULTURE GROUP

Taien Layraman, Nawakarn Sirarujanon, Raktai Damrongmanee, Plubpeung Paungtanasarn

Abstract: The paper examines the participate management model the way that an agriculture group in Chiang Mai, Thailand was done. When they had shaped their such a kind of working group, they aimed to become agriculture people without any knowledge or any experience. Working in the group issue was unnaturally for them until this research conducted by using the action research method, between an agriculture group in tambon San Klang, San Kamphaeng, Chiang Mai, Thailand, they were a success in kind of settle both the informal and formal organization to handle this agriculture cooperate by themselves. This finding indicates the power of a participate way of management among this area occurring in the north of Thailand.
[ FULL TEXT PDF 1-4 ] DOI: 10.30566/ijo-bs/2019..126


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MACROECONOMIC UNDERLYING FACTORS OF UNEMPLOYMENT IN PAKISTAN
Muhammad Ahmad Mazher; Prof. Dr. Jauhari Dahalan

Abstract: 
Unemployment is one of the challenges facing today’s world. The impartial of the study was to examine the long-run and short-run relationships between unemployment and its macro-economic determinants comprising energy usage, FDI, GDP growth, inflation deflator, and population over 1970-2018. After using the Augmented Dickey-Fuller (ADF) tests through Schwarz Info Criterion (SIC), Akaike Info Criterion (AIC) and Phillips-Perron (PP) for unit-root, this study employed Auto-Regressive Distributed Lag (ARDL) bounds testing approach. The regression result proposes that under short-run and long-run energy usage, FDI and Population have together been domineering in amplification of the long-run unemployment rate. The significant and negative coefficient of error correction term indicates to the high speed of adjustment to achieve the long-run equilibrium. In conclusion, the study proposes the government should increase the level of aggregate supply, economic growth along with job formation, form an encouraging environment that induces much foreign direct investments (FDI) and control the population pressure, consolidate the existing entrepreneurship activity with new entrepreneurial entrants to create more employment and fascinate a huge pool of unemployed population.
FULL TEXT PDF 1-6 ] DOI: 10.30566/ijo-bs/2019.125

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EXPLAINING ISSUES RELATING TO ISLAMIC MICROFINANCE SUSTAINABILITY: AFRICAN PERSPECTIVE
Vatimetou Mokhtar Maouloud; Salina Kassim, Ejaz Aslam, Haneffa Muchlis Gazali, Anwar Hasan

Abstract: 
Islamic microfinance is an effective tool for poverty alleviation worldwide. Islamic microfinance is a beneficial mode1l that enhances individual’s wellbeing not only for Muslims but also for the non-Muslims well. Thus, the aim of this study is to highlight the main issues encountering the Islamic microfinance institutions related to their effectiveness and durability. This study theoretically evaluate the past prominent literature on Islamic microfinance and find out its existing problems in microfinancing. Islamic microfinance institutions are facing several obstacles to sustain in front of the high competition with the conventional microfinance institutions. Among these hindrances: low market penetration, high cost of transactions, shariah regulations, fund mobilization, risks, performance and profitability all of which are considered among the major barriers of Islamic microfinance development. Thus, Islamic microfinance operators must pay more attention to the factors affecting the sustainability of their institutions to be a durable mechanism to alleviate poverty. This a conceptual paper which provides recommendations and solutions to reduce the effects of these problems so that Islamic microfinance can be more efficient and effective strategy to minimize poverty and inequality.
[ FULL TEXT PDF 1-7 ] DOI: 10.30566/ijo-bs/2019.124

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FACTORS INFLUENCE THE READINESS OF THE LIBYAN HIGHER EDUCATIONAL STUDENTS TOWARD USING MOOC
Ebrahem Ali Elburase; Omar Ismael Al-Sanjary; Zurida Ishak

Abstract: 
The massive open online course (MOOC) is a specific area of development in distance learning, which consists of world-wide participants who have access to the course via the Internet with no formal accreditation. These courses are massive in the sense that they can attract thousands of participants (Martin, 2012). In this regard, this study tries to fill the gap of the lack of higher education output achievement in Libya by adopting the MOOCs. The important methods of several quantitative studies are the utilization of tools like surveys to gather data and improve on feasible theory to analyze the statistical hypotheses that respond to the questions of research. The total population of this study is the Libyan students in the university of Tripoli city. Identifying the proper sample size for a study is able to give a wide perception toward answering the study question. Several previous studies have paid attention toward determining the optimal sample size for research. The total students at Tripoli University are 74,450 students. According to the current study, it was found that there are significant and positive relationships between Internet Discussion, Technology Access, Motivation, and readiness for MOOC. Stating that correlation values for the variables were (0.273, 0.289, and 0.268).
[ FULL TEXT PDF 1-12 ] DOI: 10.30566/ijo-bs/2019.123

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MODEL ESTABLISHING THE POTENTIAL CLIENTS USING ARTIFICIAL NEURAL NETWORKS
Mustafa Abdulhadi Hamaida; Omar Ismael Al-Sanjary*, Omar Ahmed Ibrahim

Abstract:
One of the most important and dominant topics in management studies is to find more effective solutions and tools for complicated management problems. The tools used to make management decisions have undergone a massive change with the advancement of computer and communication technology. These tools have Artificial Neural Networks (ANNs and SPSS). In this article, we describe the basics of neural networks as well as a review of selected work done in computer science with the application of ANNs. New models, RBFNN and GRNN are used for data classification and ANN is used for algorithm design methods. The well-known data of marketing information system (MkIS) is used to train the ANN and to train the algorithms and test them. The goal is to develop the proposed design to improve the performance of high accuracy in the marketing information system and to investigate the training of the machine learning algorithm using real-world sample data. Selecting right-sized datasets by selecting suitable dataset size from experiments. ANNs experiments show promising results on the dataset of the marketing information system. In addition, the decision model is based on an artificial neural network model consisting of three layers, the first layer being represented by seven neurons, new technology. Support system for internal records, marketing intelligence, market research, and marketing decision making. The second layer as the hidden layer with 75 neurons, and the third layer as the output layer represented by two neurons called the competitive advantage. In addition, the 300 collected data first converted to numerical data to represent the real data to be used for modelling the intelligent decision model, also, the collected data divided into part in which 80% of the data used of training artificial neuron network model and 20% used for testing the proposed model.
[ FULL TEXT PDF 1-8 ] DOI: 10.30566/ijo-bs/2019.122

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HOME ELECTRIC POWER MANAGEMENT MODEL: PRELIMINARY PROPOSAL
Alzaroog Saleh Abdulali Emhmed

Abstract: 
A conceptual approach of a home energy management model is proposed, called GEDE (Home Electric Energy Management), which has as its primary purpose to contribute to home energy efficiency; The model involves communication protocols, infrastructure, and software as a management tool for making energy decisions related to the consumption or generation of electricity by the residential end-user
[ FULL TEXT PDF 1-7 ] DOI: 10.30566/ijo-bs/2019

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