Business Analytics
Parvaneh Gelard; Khosro Farahi; Hamid Tohidi
Abstract
Rural entrepreneurship is one of the most important goals of policy-makers to develop villages and prevent migration from rural to urban areas. Significant challenges at the rural entrepreneurship level have reduced the entrepreneurship development process. Recognizing these challenges can be constructive ...
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Rural entrepreneurship is one of the most important goals of policy-makers to develop villages and prevent migration from rural to urban areas. Significant challenges at the rural entrepreneurship level have reduced the entrepreneurship development process. Recognizing these challenges can be constructive in identifying the various dimensions related to rural entrepreneurship and removing barriers to rural business development. This study aims to identify the effective financial factors on entrepreneurship in rural small businesses and rank these factors. The research method applied based on purpose and data collection is a semi-structured interview done through interviews with academic experts, implementers of rural employment and entrepreneurship projects, and entrepreneurs. Data analysis and validation of financial factors on rural entrepreneurship in both service and agriculture sectors were performed using the fitting of a time-series regression model. The results indicate a positive and significant effect of rural population ratio, financing through financial institutions, economic growth, openness rate in business space, gender composition, and inflation rate in agriculture sectors, as well as a significant reverse effect of official employment rate, job-seeking population ratio, exchange rate uncertainty, government employment rate and graduation ratio on entrepreneurship in both service and agriculture sectors. Finally, the results of the Friedman test showed that the financing factor through financial institutions has the highest average rating due to the bank-oriented financial resources of entrepreneurial enterprises in the rural service and agriculture sectors. Therefore, policy-makers seeking to develop rural entrepreneurship should prioritize policies related to the ease of access of rural businesses to financial resources.
Business Analytics
Leila Negahban; Bahman Banimahd; Seyed Hossein Hosseini; Azam Shokri Cheshmeh Sabzi
Abstract
The purpose of this research is to evaluate and rank the efficiency of pharmaceutical companies in creating operational cash flows in line with the objectives of financial reporting. The research method for collecting theoretical bases and research data is library studies. In this research, in order ...
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The purpose of this research is to evaluate and rank the efficiency of pharmaceutical companies in creating operational cash flows in line with the objectives of financial reporting. The research method for collecting theoretical bases and research data is library studies. In this research, in order to evaluate the efficiency of pharmaceutical companies in creating operational cash flow, the Data Envelopment Analysis (DEA) model with weight limit is used. The results of this research show that Farabi pharmaceutical company has the highest efficiency score in creating Operating Cash Flows (OCFs) and Loqman pharmaceutical company has the lowest efficiency score. The findings of this research confirm that DEA is a suitable technique for evaluating the performance of companies in creating operational cash flow. Also, this technique, along with traditional financial analysis, can be considered a useful instrument for deciding and evaluating the performance and efficiency of companies. This article can make analysts more familiar; financial and accounting researchers with DEA applications in financial and accounting analysis. Also, this research can expand the use of scientific models in financial and accounting research.
Business Analytics
T. K. Biswas; S. M. Akash; S. Saha
Abstract
The readymade garments industry is rapidly growing and now it is the single highest export earner for Bangladesh. This business sector becomes an attractive investment destination to the country’s new young entrepreneurs upcoming due to its cheaper labor cost, lower investment cost, availability ...
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The readymade garments industry is rapidly growing and now it is the single highest export earner for Bangladesh. This business sector becomes an attractive investment destination to the country’s new young entrepreneurs upcoming due to its cheaper labor cost, lower investment cost, availability of resources, governments support, etc. than the other sectors. However, many other factors are often needed to consider in investing in this garments sectors. Again, in garments sectors, there is a wide range of apparel items like shirts, trousers, jackets, sweaters, etc. options that are available to invest. Different types of apparel items demand different types of resource requirements, diverse level of capital investment, operator’s skills, and it is also related to the many other factors. Again, all the investors are not in same stand points according to their business handling capabilities, capitals in hand, business locations and so many other aspects. This paper proposes a methodology for selection best apparel item among different alternatives that will provide a decision support to the investors in opening a new garment factory. The proposed methodology is based on Analytical Hierarchy Process (AHP) under fuzzy environment. The approaches allow the decision maker to use expert’s judgment in the form of linguistic expression in the evaluation process. In the application of proposed methodology, the best apparel item is selected for opening a garment factory in Bangladesh at present conditions.
