Pricing Decisions in Dual-Channel Supply Chain Including Monopolistic Manufacturer and Duopolistic Retailers: A Game-Theoretic Approach

Emergence of the Internet as a new distribution channel has led to increasing attention by researchers to dual-channel supply chain in recent years. In this paper, pricing and ordering decisions are investigated on a dual-channel supply chain which consists of monopolistic manufacturer and duopolistic retailers. The market is assumed to be controlled by the manufacturer. Thus, the manufacturer becomes leader and the two retailers act as followers. Due to establishing this new structure, different game-theoretic models including Bertrand, Collusion, and Stackelberg are developed to analyze pricing strategies under the various interactions between the two retailers. Then, the equilibrium decisions are compared under the considered scenarios and valuable managerial insights are presented. We found that the various games do not have any effects on the manufacturer’s responses. The retail prices given by the Collusion game are higher than by the other games. In the Collusion model, demands in the retail channel are lower than in the other games. Moreover, the manufacturer and retailers receive respectively the lowest and the highest profits under the Collusion game.     

ADVERSE SELECTION WITH HETEROGENEOUSLY INFORMED AGENTS

A model of over-the-counter markets is proposed. Some asset buyers are informed in that they can identify high-quality assets. Sellers with private information choose what type of buyers they want to trade with. When the measure of informed buyers is low, a unique equilibrium exists, and interestingly, price, trading volume and welfare typically decrease with more informed buyers. When the measure of informed buyers is intermediate, multiple equilibria arise. A switch from one equilibrium to another can lead to large drops in liquidity, price, trading volume, and welfare, like a financial crisis. Implications of an endogenous measure of informed buyers are also studied.     

Injuries and their burden in insured construction workers in Iran, 2012

The present study used disability adjusted life years (DALY) to estimate the burden of external cause of injuries in construction workers insured in Iran in 2012. The Global Burden of Disease method (2010) was used to estimate the years of life lost due to death (YLL) and years of life lost due to disability (YLD). DALY was calculated as the sum of YLL and YLD. There were 5352 injured construction workers in Iran (11.25 individuals per 1000). Falling was the most common incidence and included 2490 individuals (46.53%). Totally, DALY was estimated 18,557 years for all age groups and both genders including 17,821 YLD (96%) and 736 YLL (4%). The DALY related to construction work is high in Iran and it has notably affected the young. Hence more preventive methods should be applied to reduce the overall burden of specific external cause of injuries especially in young and inexperienced workers.     

Home-related injuries among under-five-year children and mothers' care regarding injury prevention in rural areas

This cross-sectional study was conducted in rural areas of Twiserkan (Toyserkan) County, in Iran, to assess factors associated with home-related injuries among under-five-year children and their mothers’ care regarding injury prevention. Mothers who had their under-five-year-old children injured within a 12-month period were identified from recorded information in Twiserkan Health Center. Then, data were gathered using pre-tested questionnaire and through interview with injured children's mothers. The questions were about characteristics of the children's injuries and their mothers’ care regarding injury prevention, using PRECEDE (Predisposing, Reinforcing, and Enabling Constructs in Educational/Environmental Diagnosis and Evaluation) model with focus on knowledge and attitude; enabling and reinforcing factors; and mothers' preventive behaviours. The study results showed that 197 out of 210 total identified mothers took part in the study. The reported injuries were 11.68%, 39.09%, and 49.24%, respectively, for severe, moderate, and mild cases. Fall was the most frequent injury with 35%. Among PRECEDE model constructs, there was a statistically significant correlation between mothers' knowledge and injury severity among children. Home-related injuries are an important health problem among study population and their prediction and prevention are necessary. Enhancement of mothers’ knowledge can be helpful to improve child injury prevention.     

Modeling hazardous materials risks for different train make-up plans

This paper is concerned with the problem of how to place hazardous material cars in the train assembly process so that the overall derailment risk can be minimized. The approach considers both the probability of railway cars derailing en route by position as well as the risk associated with additional operations in the rail yard using recent US FRA data. The merits of this car placement model are illustrated through a case study of a railway corridor that connects Los Angeles (CA) to Chicago (IL). The case study demonstrates that the proposed risk minimization strategy could be implemented with minimal rail yard operation cost.     

Application of ANFIS to exchange rate forecasting

The need of exchange rate forecasting in order to preventing its disruptive movements has engrossed many policy-makers and economists for many years. The determinants of exchange rate have grown manifold making its behavior complex, nonlinear and volatile so that nonlinear models have better performance for its forecasting. In this study the accuracy of ANFIS as the nonlinear model and ARIMA as the linear models for forecasting 2, 4 and 8 days ahead of daily Iran Rial/∈ and Rial/US$ was compared. Using forecast evaluation criteria we found that nonlinear model outperforms linear model in all three horizons.     

Environmental determinants of U.S. foreign direct investment in developed and developing countries: A structural analysis

This study attempts to explain theoretically and empirically the influence of developed and developing countries’ environments on foreign direct investment from the United States. It is postulated that foreign direct investment into these economies can be explained by examining interactions among three environmental constructs: technological development, quality of life, and political instability. A structural equation model is developed to test the concurrent and longitudinal influence of the three environmental constructs on foreign direct investment into these economies from the United States.