فهرست مطالب

  • Volume:3 Issue: 8, 2016
  • تاریخ انتشار: 1395/07/27
  • تعداد عناوین: 6
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  • Douglas Kibirige* Pages 453-458
    Over 70% of rural population in South Africa survives on subsistence small-scale farming as source of food and household incomes. However, due to lack of Agro-market facilities in rural South Africa, small-scale farmers can hardly compete favourably to benefit from the nation agricultural market, leaving almost 85% share of agricultural-market to the well-off large commercial farmers. These imbalances in South Africa’s agricultural markets are manifested in its dualistic economy, the “first-world economy” and the “second-impoverished economies”, respectively. Recent policies have been focused more on increased agro-productivity with less emphasis on markets for the rural-poor subsistence small-scale farmers. This review used case-study elsewhere especially in Sub-Saharan Africa and Asia where surveys have shown tremendous positive results to supported the argument. Therefore, this review suggest “Markets Work for Rural-Poor in South Africa: Developing Roadside Markets for Smallholder Farmers” to improve on their shares and benefit more from the rich national agricultural market.
    Keywords: Small, scale farmers, Roadside markets, rural poor, South Africa, supermarkets
  • Lina Pileliene*, Viktorija Grigaliunaite Pages 489-501
    The main mechanism of market economy – competition – has forced organizations to search factors influencing advertising effectiveness. Relying on the maxim “unseen – unsold”, the visual impression of advertising becomes crucially important. First visual impressions do often influence mid- and long-term human behavior and are influenced by factors such as context or visual complexity. The aim of this research is to determine the effect of visual layout complexity of advertising on consumers’ attentional resources engaged in processing an advertisement as well as evaluation and classification time of the advertisement regarding different levels of visual layout complexity. To reach the aim of the article, P300 event-related brain potential is recorded and analyzed. In the context of visual complexity of advertising, recording and analysis of P300 component reveal whether high visual advertising complexity leads to more attentional resources engaged in processing an advertisement as well as whether advertisement with high visual complexity is evaluated and classified slower. Moreover, questionnaire research is provided for the participants in order to assess the differences in attitudes towards the brands advertised with different layout complexity levels. As a research results, the effect of visual advertising complexity on cognitive processes such as attention allocation and its influence on the attitude toward the object is revealed and the managerial implications for creating effective advertising are provided.
    Keywords: Advertising, complexity, electroencephalography, evoked potentials, P300, visual attention
  • Sajedeh Hasanian, Seyed Mohammad Hossein Hojjati* Pages 502-519
    Suppliers are critical component to an organization that can greatly affect the performance of the organization and its product. Through these various effects, a revision is essential in supplier selection strategies. In this paper, a framework for supplier selection criteria in "LARG" (Lean, Agile, Resilient and Green) supply chain based on a literature review is proposed. A fuzzy method is used to evaluate suppliers, based on the determined criteria and calculate the weight of them. To our knowledge, this is the first effort to present a comprehensive framework for supplier selection criteria in "LARG" supply chain. In order to validate and demonstrate the applicability of the framework, a numerical example is presented. The result shows the framework is applicable to organizations and manufacturing institutions as well as their supply chains.
    Keywords: Supplier, LARG supply chain, framework, fuzzy
  • Moses Ahomka Yeboah*, Francis Koffie Pages 520-533
    Small and Medium Enterprises [SMEs] in Ghana are often denied capital by the financial institutions. Hence, this study utilized data from self-administered questionnaires to 123 SME operators in the Cape Coast Metropolis to ascertain if the financial institutions consider the legal form of business ownership of SME before lending capital. Descriptive statistics, Chi-square and Hierarchical regression were employed to analyse data. We failed to reject the null hypothesis which implied that the financial institutions do not put much emphasis on the legal form before lending capital to SMEs, neither does the legal form determine the amount of capital borrowed. The recommendations were that the National Board for Small Scale Industries (NBSSI) must ensure that all the SMEs are registered and their business operations formalized. Besides, they should also train SME operators on basic business management skills, particularly, keeping accounting records. Government SME financing scheme managers must work professionally by administering the funds to SMEs based on merit and not on other irrelevant considerations such as political affiliation, cronyism or nepotism. Finally, SMEs must revamp their various trade associations to create a formidable union.
    Keywords: Small, Medium Enterprises [SMEs], legal form, financial institutions
  • Dariush Farid, Hojjatollah Sadeghi, Elahe Hajigol, Nadiya Zarmehr Parirooy* Pages 534-543
    This research predicts through studying significant factors in customer relationship management and applying data mining in bank. Financial institutions and other firms in competitive market need to follow proper understanding of customer behavior. Customers’ data are analyzed to identify specific opportunities and investment, to classify and predict the behaviors; further, data are eventually used for decision-making. Therefore, data mining as knowledge exploring (discovery) approach plays a significant role through a variety of algorithms. This study classifies bank customers by using decision tree algorithm. Three decision tree models including ID3, C4.5, and CART were applied for classifying and finally for prediction. Results of simple sampling method and k-fold cross validation show that forecast accuracy of C4.5 decision tree using simple sampling was higher than other models. Thus, predicting customers’ behavior through C4.5 decision tree was considered the ideal prediction for bank.
    Keywords: Validation, data mining, decision tree, customer relationship management
  • Choi Sang Long *, Mardhiah Yaacob, Tan Wee Chuen Pages 544-552
    The aim of the present study was to examine the relationship between emotional intelligence and job satisfaction among teachers. Dimension of emotional intelligence like emotional self-awareness, emotional expression, using emotions, understanding emotions, emotional self-management, and emotional management of others in relation to job satisfaction. Pearson correlation and multiple regression analyses were used to test the hypothesis. Findings reported that emotional intelligence has a significant and positive relationship with job satisfaction among teachers. Only emotional self-awareness and emotional management of others influence emotional intelligence on job satisfaction among teachers.
    Keywords: Emotional intelligence, job satisfaction, teachers, self, awareness, regression