Mashhad: Behzad Hassannezhad KashaniInternational Journal of Management, Accounting and Economics2383-21263820160801Effect of Visual Advertising Complexity on Consumers’ Attention489501115301ENLina PilelienėAssociate Professor at Marketing Department, Vytautas Magnus University, Kaunas, LithuaniaViktorija GrigaliūnaitėResearcher at Marketing Department, Vytautas Magnus University, Kaunas, LithuaniaJournal Article20201003The 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. Mashhad: Behzad Hassannezhad KashaniInternational Journal of Management, Accounting and Economics2383-21263820160801A Framework for Supplier Selection Criteria in "LARG" Supply Chain based on a Literature Review502519115374ENSajedeh HasanianDepartment of Industrial Engineering, College of Engineering, Shiraz Branch, Islamic Azad University, Shiraz, IranSeyed Mohammad HosseinHojjatiDepartment of Industrial Engineering, College of Engineering, Shiraz Branch, Islamic Azad University, Shiraz, IranJournal Article20201004Suppliers 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.Mashhad: Behzad Hassannezhad KashaniInternational Journal of Management, Accounting and Economics2383-21263820160801Does the Legal Form of Small and Medium Enterprises Determine their Access to Capital?520533115375ENMoses AhomkaYeboahDepartment Liberal Studies, Cape Coast Polytechnic, Cape Coast, GhanaFrancis KoffieGhana Education Service, Monitoring Department, Cape Coast, GhanaJournal Article20201004Small 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. Mashhad: Behzad Hassannezhad KashaniInternational Journal of Management, Accounting and Economics2383-21263820160801Classification of Bank Customers by Data Mining: a Case Study of Mellat Bank branches in Shiraz534543115376ENDariush FaridAssociate Professor, Faculty of Economics, Management and Accounting, University of Yazd, Yazd, IranHojjatollah SadeghiAssistant Professor, Faculty of Economics, Management and Accounting, University of Yazd, Yazd, IranElahe HajigolIndustrial PhD, University of Yazd, Yazd, IranNadiya ZarmehrParirooyMaster of Business Administration Financial trends Yazd University, Yazd, IranJournal Article20201004This 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. Mashhad: Behzad Hassannezhad KashaniInternational Journal of Management, Accounting and Economics2383-21263820160801The Impact of Emotional Intelligence on Job Satisfaction among Teachers544552115377ENChoi SangLongRaffles University Iskandar, Johor Bahru, Johor, MalaysiaMardhiah YaacobUniversiti Teknologi Malaysia, Johor Bahru, Johor, MalaysiaTan WeeChuenRaffles University Iskandar, Johor Bahru, Johor, MalaysiaJournal Article20201004The 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. Mashhad: Behzad Hassannezhad KashaniInternational Journal of Management, Accounting and Economics2383-21263820160801Markets Work for Rural-Poor: Why a Need to Develop Roadside Farm Markets for Small-Scale Farmers in South Africa?453458115378ENDouglas KibirigeDepartment of Agricultural Economics and Management, Faculty of Agriculture,
University of Swaziland Luyengo-Campus, P.O. Box M205 Luyengo, SwazilandJournal Article20201004Over 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 “<em>first-world economy”</em> and the “<em>second-impoverished</em> <em>economies</em>”, 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<em> “Markets Work for Rural-Poor in South Africa: Developing Roadside Markets for Smallholder Farmers”</em> to improve on their shares and benefit more from the rich national agricultural market.