We present a stochastic optimization model for hotel revenue management with multipleday stays under an uncertain environment. Since a decision maker may face several scenarios when renting out rooms, we use a semi-absolute deviation model to measure the risk of hotel revenue, and only consider the risk of falling below the expected revenue. The method proposed in this paper can be changed to a...

We provide a model for analyzing effects of the tax system and spending programs on the determination of government spending and taxpayer welfare. An improvement in the efficiency of either taxes or spending would reduce political pressure for suppressing the growth of government and thereby increase total tax revenue and spending. We demonstrate the similarity of the political responses to rev...

This paper measures and compares the cost, revenue and profit efficiency of 43 Islamic and 37 conventional banks over the period 1990-2005 in 21 countries using Data Envelopment Analysis. It assesses the average and overtime efficiency of those banks based on their size, age, and region using static and dynamic panels. The findings suggest that there are no significant differences between the o...

The mobile network operators are being challenged by the explosion of mobile data traffic in terms of network performance and generated revenue. On one hand, efficient mobility management plays a crucial role to support mobile users, however, the current mobility protocols have several major limitations from their centralized and hierarchical nature (e.g., sub-optimal routing, scalability and r...

The problem that how to set the price to maximize revenue in WCDMA networks is investigated in this paper. Instead of adopting congestion pricing mechanism, this paper imposes fixed usage price on throughput of each user, which is assumed to be the function of network congestion and usage cost. Based on above assumptions, the net utility functions of users are provided and stackelberg game is a...

This paper addresses two concerns with the state of the art in network revenue management with dependent demands. The first concern is that the basic attraction model (BAM), of which the multinomial model (MNL) is a special case, may overestimate recapture in certain cases. The second concern is that the choice based deterministic linear program (CBLP), currently in use to derive heuristics for...