績(jī)效評(píng)價(jià)模型建筑公司：以埃及為例[文獻(xiàn)翻譯]-全文預(yù)覽
【正文】 uation models for construction panies are based on their annual financial statements or reports. Different analytical techniques have been used to develop these ratios: (1) financial statement trend analysis。 (2) heavy。 Egypt。 Performance characteristics。 Case ReportsIntroductionPerformance evaluation of construction panies gains its importance from the fact that today’s world is moving rapidly toward globalization, which means the international General Agreement on Tariffs and Trade _GATT_. The concept of GATT is to conduct business anywhere, any time, and anyhow. In this environment, many multinational panies are awarded business in other countries in which they are peting with local panies. Both multinational and local construction panies should seriously look forward to improving their performance in order to maintain their international reputation. The current study develops performance evaluation of construction panies that shows the position of such a pany among others. This evaluation is deemed essential for owners, shareholders, and funding agencies of a pany because it clearly draws the correct position of the pany. If the pany position is good, this will increase the agencies’ interest in the pany and vice versa. Many models were developed to evaluate panies’ performance, but few of them consider economical and industrial changes in their models. Therefore, the major objective of the current study is to design a performance index that evaluates a pany’s financial situation within the construction industry. This model will consider the economical and industrial changes and their effect on the pany.The current study presents a performance evaluation model based on financial ratios as well as economic and industry factors. The model developed considers four construction categories _based on the Egyptian contractor union: (1) general building。 (2) pany。 Severson et al. 1994). Financial statement structural analysis determines the proportion that each pany’s group or subgroup represents in the financial statement (Hasabo 1996). A deposition ratio is used to determine changes in the percentage of the pany’s asset ponents in two consecutive years (Hasabo 1996). The first statistical evaluation models to predict financial failure were developed by Beaver _1966_ but they were not targeting the construction industry. Companies were divided into two main groups: failed and non failed panies with similar asset size. Statistical models that are based on financial ratios of failed and non failed panies represent financial statement ratio analysis. Beaver _1966_ pared these two groups based upon 30 financial ratios in which there were differences in the mean values of these two groups for at least 5 consecutive years before failure, with differences increasing as the year of failure approached.Many studies followed Beaver (1966) that investigated multivariate techniques to distinguish failed from non failed panies. The Z score (discriminate model) dealt with panies that became legally bankrupt (Altman 1968). Deakin (1972) used accounting data to perform multivariate discriminate analysis on bankrupt and non bankrupt panies. This study concluded that most financial ratios showed discriminatory ability.The model of Kangari et al. (1992) used multiple regression analysis to evaluate the performance of construction panies. This study developed a performance grade (G) curve in which the relative financial situation of any construction pany, satisfying model limitations, could be determined Severson et al. (1994) based their model on discrete choice modeling to predict the probability of failure of a construction pany in meeting its ob
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