The impact of emigration on national development in the Arab region: the case of the Yemen Arab Republic

"The focus of this article is the impact of emigration on national development in labor sending countries experiencing wide-scale emigration, the main contention being that, due to the characteristics of contemporary labor movements among Arab countries, there obtains a contradiction between short term benefits and long term adverse effects. The article briefly defines development, then presents empirical evidence from the Yemen Arab Republic of the negative impact of labor emigration."     

An innovative approach to selecting an executive director

As a guide for how to select a new executive director, a family agency adopted the search committee process from higher education. The approach included clarifying agency goals and the director's qualifications, a board-staff screening, and interviews held jointly with public representatives before final board selection.     

On the limiting properties of social indicators

Characteristics of the population and economic measures that constitute traditional social indicators are compared with more recent “quality of life” measures to demonstrate that social indicators are always value statements at the policy level. The possibility of alternative perspectives is illustrated. It is suggested that an awareness of the assumptions implicit in any given indicator is as important as the data they provide.     

PSYCHOLOGICAL DETERMINANTS OF BOUNDED RATIONALITY: IMPLICATIONS FOR DECISION-MAKING STRATEGIES

In this paper the implications of cognitive strain for decision-making effectiveness are explored. Literature concerning the psychological processes of decisionmakers which underlie the operation of cognitive strain and which predispose them to the effects of cognitive strain, is reviewed. Next, the impact of cognitive strain on narrowly constraining or “bounding” rational decision-making is examined, and the choice strategies of satisficing and incrementalizing are criticized as failing to broaden the bounds of rational decision-making. Finally, elements of an eclectic choice strategy designed to assist decision-makers handle the informational demands of complex decision problems are discussed.     

开放式创新条件下企业创新资源获取机制的拓展——基于Teece理论框架的改进

以TEECE创建的技术创新资源获取机制理论框架为研究起点,进行了开放式创新背景下的拓展。根据其对技术资源与商业化资源的划分,运用"占有机制"与"合约交易"2个关键变量,分别揭示在封闭式创新模式向开放式创新模式转变过程中,创新资源获取机制本质由创新资源控制权拓展为创新资源联合共享,具体表现为2个方面:一是技术资源占有机制由正式制度拓展为正式制度与非正式制度的集合,从而其作用机理从环境决定的外生变量,拓展为企业内生性的战略选择;二是商业化资源交易契约从合约交易拓展为合约交易与嵌入式交易。     

Private Ownership versus Institutional Ownership: Exclusion Pricing of Initial Public Offerings

The authors examine the literature with respect to the pricing of initial public offerings and focus upon the relationship of pricing to the structure and conduct of the investment banking industry. Using a data base of all share offerings undertaken in the United States over a two and a half year period, the authors find that there is considerable evidence for the proposition that large, prestigious, and well capitalised investment banks tend to price their share offerings at a higher absolute level than those not meeting such characteristics. Using classical statistical methods, the authors find that the pricing strategy of investment banks is connected to their affiliation with investment funds and unit trusts. The motives for such pricing strategies, the authors argue, lie with the affiliation of investment banks with investment funds, suggesting that the pricing of new share offerings may be a means of excluding retail investors from participating in the strong returns such issues exhibit. The authors raise legal and regulatory implications of their findings in the context of the general consolidation observed within the investment banking industry. This revised version was published online in July 2006 with corrections to the Cover Date.     

Designing and integrating composite networks for monitoring multivariate gaussian pollution fields

Networks of ambient monitoring stations are used to monitor environmental pollution fields such as those for acid rain and air pollution. Such stations provide regular measurements of pollutant concentrations. The networks are established for a variety of purposes at various times so often several stations measuring different subsets of pollutant concentrations can be found in compact geographical regions. The problem of statistically combining these disparate information sources into a single 'network' then arises. Capitalizing on the efficiencies so achieved can then lead to the secondary problem of extending this network. The subject of this paper is a set of 31 air pollution monitoring stations in southern Ontario. Each of these regularly measures a particular subset of ionic sulphate, sulphite, nitrite and ozone. However, this subset varies from station to station. For example only two stations measure all four. Some measure just one. We describe a Bayesian framework for integrating the measurements of these stations to yield a spatial predictive distribution for unmonitored sites and unmeasured concentrations at existing stations. Furthermore we show how this network can be extended by using an entropy maximization criterion. The methods assume that the multivariate response field being measured has a joint Gaussian distribution conditional on its mean and covariance function. A conjugate prior is used for these parameters, some of its hyperparameters being fitted empirically.