Consumption of Movie Experience: Cognitive and Affective Approaches

This study examines the structural relationships among film quality, value, and satisfaction on the perspective of moviegoers. The experience economy concept is employed as the theoretical framework, where moviegoers’ cognitive and affective evaluations are projected in fulfilling their perceived value. Moviegoers’ perceived movie attributes and experiences are assessed to evaluate the moviegoers’ satisfactions through functional and emotional values. In particular, this article investigates how four dimensions of experience mediate the effect of movie attributes on perceived value and satisfaction. A total of 565 samples were analyzed with structural equation modeling to investigate the relationship of ‘quality—value—satisfaction.’ The findings show that two movie attributes (core and peripheral) affect three dimensions of experience (entertainment, educational, and escapist), which in turn influence functional and emotional values, and moviegoers’ satisfaction. The results also confirm that emotional value is a more powerful predictor of moviegoers’ satisfaction than functional value.     

带偏射补偿机制的Birkhoff-von-Neumann交换机方案及其性能分析

Birkhoff-von-Neumann（BvN）交换机具有较低的执行复杂度和较高的吞吐量,但无法在业务突发的环境下提供性能保证。为此,提出一种带偏射的BvN（D-BvN）交换机制来增强交换机性能。D-BvN交换机通过平均业务矩阵的BvN分解,为每个虚电路（VC）提供均值带宽保证,同时通过偏射来处理业务突发。其主要思想是利用处于空闲状态的VC的闲置容量处理处于溢出状态的VC的溢出业务。具体地,偏射机制利用空闲VC的闲置容量完成两件事情：一是把溢出业务偏射到其他VC,二是给偏射业务提供到达目的端口的带宽。分析和仿真结果表明,所提方法不仅可以获得接近100%的输入负载吞吐量,而且具有较低的包乱序概率和较小的业务包延时。     

A Structural Model to Examine How Destination Image,Attitude, and Motivation Affect the Future Behavior of Tourists

This study examines a behavioral model of wetlands tourism using variables of destination image, attitude, motivation, satisfaction and future behavior for tourists at Cigu, Sihcao and Haomeiliao in southwestern Taiwan. Empirical results indicate that destination image directly affects satisfaction and indirectly affects future behavior. Tourist attitude directly affects satisfaction and indirectly affects future behavior, while tourist motivation directly affects satisfaction and indirectly affects future behavior. Tourist satisfaction had a significant influence on future behavior, and satisfaction proved a significant mediating variable within this behavioral model.     

Macroeconomic risk and the cross-section of stock returns

We develop a conditional version of the consumption capital asset pricing model (CCAPM) using the conditioning variable from the cointegrating relation among macroeconomic variables (dividend yield, term spread, default spread, and short-term interest rate). Our conditioning variable has a strong power to predict market excess returns in the presence of competing predictive variables. In addition, our conditional CCAPM performs approximately as well as Fama and French’s (1993) three-factor model in explaining the cross-section of the Fama and French 25 size and book-to-market sorted portfolios. Our specification shows that value stocks are riskier than growth stocks in bad times, supporting the risk-based story.     

Spatial Interaction,Spatial Multipliers and Hospital Competition

The hospital competition literature shows that estimates of the effect of local market structure (concentration) on pricing (competition) are sensitive to geographic market definition. Our spatial lag model approach effects smoothing of the explanatory variables across the discrete market boundaries, resulting in robust estimates of the impact of market structure on hospital pricing, which can be used to estimate the full effect of changes in prices inclusive of spillovers that cascade through the neighboring hospital markets. The full amount, generated by the spatial multiplier effect, is a robust estimate of the impacts of market factors on hospital competition. We contrast ordinary least squares and spatial lag estimates to demonstrate the importance of robust estimation in analysis of hospital market competition. In markets where concentration is relatively high before a proposed merger, we demonstrate that Ordinary Least Squares (OLS) can lead to the wrong policy conclusion while the more conservative lag estimates do not.