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Business, Management and Economics Research

Online ISSN: 2412-1770
Print ISSN: 2413-855X

Quarterly Published (4 Issues Per Year)





Archives

Volume 6 Number 1 January 2020

Green Medical Reserve Logistics Provider Selection Using DEMATEL Method


Authors: Shih-Ming Ou
Pages: 13-20
DOI: doi.org/10.32861/bmer.61.13.20
Abstract
Compared with general commercial reverse logistics operators, the recovery and treatment of expired drugs and medical waste is a complex and highly technically difficult project. The qualifications required by the relevant service providers are also more stringent. For medical institutions, the selection of reverse logistics operators is always a critical issue. On the perspective of sustainability, this paper aims to investigate and explore the critical factors of selecting a medical reverse logistics service provider. Through the process of the Delphi method, the experts’ assessments were collected, and 24 factors affecting the selection of medical reverse logistics service provider were screened and summarized. Then, Decision-Making Trial and Evaluation Laboratory (DEMATEL) was employed to calculate the total influence values and net influence values between factors that could be used to draw the visual causal map. Referring the causal map, “Green process operation level” and “Recycling process greening degree” are significantly higher than other factors in terms of total influence value and net influence value. Therefore, they can be regarded as crucial factors. This finding implies that medical reverse logistics providers must have the ability to improve the greening of facilities, as well as equipment, integrating existing processes to make it greener and environmentally friendly.

Dividend Policy and Share Price Volatility Among Insurance Companies Listed at Nairobi Securities Exchange


Authors: Carolyne Chepngetich Rono ; Nixon Oluoch Omoro
Pages: 1-12
DOI: doi.org/10.32861/bmer.61.1.12
Abstract
The major objective of any firm is to maximize the shareholders wealth. This is evidence through dividend yield and payout ratio and this encapsulate into the dividend policy of a company. The research purpose aimed at examining the influence that dividend policy has on the volatility of share prices among the listed insurance corporations in Kenya. Research design, approach and method: Data was collected from listed insurance corporations over a 10-year period with a total of 49 data points. The Pearson correlation and ordinary regression analysis were employed. The results reveal the existence of a positive link among the study variables. The correlations were found to be substantial at ninety-five percent confidence level. It is worth noting that the model summary shows forty-three-point one percent of changes in the volatility of stock price are explicated by dividend yield and payout ratio. ANOVA statistics which examines whether the analytical model as set out in the study explains variations in the dependent variable concluded that the model is analytically substantial. The outcome revealed a statistically significant positive link between stock price variations and the ratio of dividend payout. Research also established a statistically substantial negative interrelation between volatility of stock prices and dividend return. Results therefore recommend that companies should have dividend policies which are mapped to shareholders wealth maximization objective. The study suggests further studies be undertaken to determine whether there exists an analytically substantial difference between the dividend policies of various sectors in the economy.