UNDERSTANDING THE FACTORS INFLUENCING BANKING CUSTOMERS’ FINANCIAL ASSET OWNERSHIP

The objective of this study is to evaluate the factors which influence banking customers' financial asset ownership. Using the pyramid of Maslahah framework, the study classifies the needs of banking customers into four levels: those for basic financial services (hajjiyat); for financial assets for security or as a precaution (darruriyat); for financial assets for investment (tahsiniyah); and those for financial assets for religious purposes. To answer the research questions, a binomial logistic model was applied and the primary data were collected using a questionnaire survey with 300 respondents in Indonesia. It was found that the pattern of ownership of financial assets follows the order proposed in the theory of the pyramid of Maslahah. The study also found that financial asset ownership for transaction needs was mainly influenced by the variables of income and credit and that ownership of such assets for security or precautionary needs was largely determined by life cycle variables. In addition, ownership for investment needs was strongly influenced by the level of education, and for religious needs it was mainly determined by income levels and life cycle variables. The study findings provide important information for mapping the financial needs of Islamic banking customers.

Key Factors of Dynamic SMEs in Colombia Using GEM Data

This chapter contributes to the public policy discussion about the key factors related with dynamic SMEs in Colombia. Authors analyze the case of Colombia through a quantitative approach with a binomial logistic model to estimate the level of association between selected independent variables and dynamic SMEs in the country using GEM data 2017. One of the most important outcomes was that the export activity as well as the level of education of entrepreneurs and previous business experience increase the propensity of Dynamic SMEs in the country. In contrast, variables such as seed capital at the beginning of business and business training did not show a significant relationship with Dynamic SMEs for this case. Notwithstanding the prosperity entrepreneurship ecosystem in Colombia, only 3% of entrepreneurs and their companies are classified as dynamic by authors' model, and there are still great challenges to changes in public policy toward knowledge-intensive entrepreneurship.

Key Factors of Dynamic SMEs in Colombia Using GEM Data

This chapter contributes to the public policy discussion about the key factors related with dynamic SMEs in Colombia. Authors analyze the case of Colombia through a quantitative approach with a binomial logistic model to estimate the level of association between selected independent variables and dynamic SMEs in the country using GEM data 2017. One of the most important outcomes was that the export activity as well as the level of education of entrepreneurs and previous business experience increase the propensity of Dynamic SMEs in the country. In contrast, variables such as seed capital at the beginning of business and business training did not show a significant relationship with Dynamic SMEs for this case. Notwithstanding the prosperity entrepreneurship ecosystem in Colombia, only 3% of entrepreneurs and their companies are classified as dynamic by authors' model, and there are still great challenges to changes in public policy toward knowledge-intensive entrepreneurship.

Trade credit management in wholesale companies based on statistical methods

Study purpose. The paper shows the application of statistical methods for the trade credit management in the wholesale Russian companies. In this industry, the companies deal with a huge amount of customers, while trade credit is a common practice. As a result, fast and reasonable choice of trade credit terms becomes especially important for wholesale companies. The main study purpose is to provide the methods to choose the trade credit terms.Materials and methods. In this paper, the methods for trade credit management are based of the empirical research where binomial logistic model and discriminant analysis were used. The binomial logistic model was used to assess the customers’ reliability, his inclination to violate the terms specified in the contract. The delay period must be chosen when trade credit is provided. In the paper, the discriminant analysis was applied to make the decision. The discriminant functions allow choosing such a period of delay that will be broken with the least probability by the customer with certain financial and non-financial characteristics. The data used refer to 11 Russian companies from the wholesale industry and include 720 observations for 2016-2017.Results. As a result, the possibility of due repayment may be evaluated and the payment delay may be selected according to individual customers’ characteristics. Eight factors that characterize the liquidity of the purchaser, its profitability, turnover, and non-financial factors became significant to assess the reliability. In conclusion, the paper contains the practical example for four hypothetical purchasers with different characteristics. The higher the reliability of the customer, the more attractive conditions can be offered for him, depending on the propensity to risk of the wholesale company, as well as its financial opportunities.Conclusion. This article contains the model to evaluate the possibility of due repayment and algorithm to select the payment delay, which are based on the binomial logistic model and classification functions. Although there are a large number of methods to select the terms of trade credit, the majority of them have serious limitations. The most of methods are based only on the professional experience, while statistical analysis, in presence, is based on data of one company because of the confidentiality of necessary information. In contrast, this article is based on the empirical data and includes the delay period selection, which is slightly enlightened in the literature.

Recommended Widths for Separated Bicycle Lanes Considering Abreast Riding and Overtaking

The paper aimed to develop width recommendations for separated bicycle lanes considering abreast riding and overtaking behaviors. We investigated eight segments of separated bicycle lanes in Nanjing with cameras, analyzed the major types of abreast riding and overtaking, and then explored the volume threshold for two-abreast riding as well as the suitable clearances in a comfortable overtaking, using a binomial logistic model for both. The main results and conclusions are as follows: (1) two-abreast riding and an electric bicycle passing a conventional bicycle were the main categories of abreast riding and overtaking, respectively. (2) The volume threshold at which two-abreast riding occurred was 1075 bicycles/h/m. (3) Distances of 0.48 m, 1.48 m, and 0.56 m were the suitable clearances for the distance from the center of the passed rider to the nearest curb, the distance center to the center of riders while overtaking, and the distance from the center of the passing rider to the nearest curb, respectively. (4) Below 1075 bicycles/h/m, a bicycle lane 2 m in width was acceptable; above that, 2.5 m was suggested as the minimum width of the bicycle lane.

Modelling Port Water Collision Risk Using Traffic Conflicts

Navigational collisions are one of the major safety concerns for many seaports. Despite the extent of work recently done on collision risk analysis in port waters, little is known about the influential factors of the risk. This paper develops a technique for modelling collision risks in port waterways in order to examine the associations between the risks and the geometric, traffic, and regulatory control characteristics of waterways. A binomial logistic model, which accounts for the correlations in the risks of a particular fairway at different time periods, is derived from traffic conflicts and calibrated for the Singapore port fairways. Results show that the fairways attached to shoreline, traffic intersection and international fairway attribute higher risks, whereas those attached to confined water and local fairway possess lower risks. Higher risks are also found in the fairways featuring higher degree of bend, lower depth of water, higher numbers of cardinal and isolated danger marks, higher density of moving ships and lower operating speed. The risks are also found to be higher at night.