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51.
Multi-life models are useful in actuarial science for studying life contingency. Contingent probabilities are well-understood by most actuaries and are discussed extensively in the existing actuarial literature. However, the mean of a life in a multi-life model involving order of deaths is often found to be rather challenging to interpret by most actuaries who do not understand measure-theoretic probability. Standard textbooks on actuarial science or statistics do not elaborate on the correct interpretation of contingent means, leaving the actuaries at risk of making a blunder. This paper presents the correct interpretation both heuristically and rigorously using a non-measure-theoretic language, so that actuaries will be aware of some common misconceptions and avoid pitfalls in their work. The primary audience of this paper is practicing actuaries, actuarial students and actuarial educators. So we have given several actuarial applications. We hope that applied statisticians also will find this paper useful. 相似文献
52.
Cesaltina Pacheco Pires Soumodip Sarkar Luísa Carvalho 《The Service Industries Journal》2013,33(10):1339-1356
Using standardised firm data a comparative analysis of the determinants of product and process innovation in manufacturing and services is performed. Results show that in services there are significant differences in innovation behaviour, in terms of intramural and extramural R&D. It is also found that size matters less in services than in manufacturing. Although youth has a positive effect in both cases, young service firms are more likely than young manufacturing of being pioneer innovators. The results reveal the importance of learning by doing in service process innovations, as young service firms are less likely to introduce process innovations. 相似文献
53.
Sudipto Sarkar 《The Journal of Financial Research》1999,22(3):353-370
I derive the optimal maturity period for corporate debt used to finance a specific project, when costly financial distress is triggered by the inability to meet coupon obligations. My model predicts a negative relation between bond risk and maturity, and it explains why high-grade bonds show greater maturity dispersion than low-grade bonds, as observed in U.S. corporate bond markets. The major determinant of bond maturity is project duration for low-risk bonds and project risk for high-risk bonds. Other determinants of bond maturity are debt burden, reorganization costs, corporate tax rate, interest rate, and project growth rate. 相似文献
54.
55.
We provide evidence suggesting an important yet largely unexplored motive for the diversified structure of emerging economy business groups is to facilitate expropriation of minority shareholders by controlling insiders through tunneling. Using firm level panel data from India, and defining the core firm of a group as the one with the largest asset base, we find that the relatedness of the activity of a group affiliate to the activity of the core firm is correlated with the wedge between control and cash flow rights of insiders as well as with the opacity in insider ownership. Firms with ownership-control wedge lower and ownership opacity higher relative to a group’s core firm are more likely to be in activities unrelated to that of the core firm. Our findings are strengthened by evidence of tunneling in the same direction, from affiliates with wedge equal to or higher than that of the core firm to affiliates with wedge lower than that of the core firm. Taken together this suggests an expropriation motive for diversification: affiliate firms are located away from a business group’s core firm to serve as destination points for funds tunneled from the group’s core. 相似文献
56.
Development of partnership with suppliers is widely recognised today as a potent tool for supply chain improvement. To develop an effective partnership, it is necessary to have a small supply base and an effort to reduce the supply base to a manageable level. Despite its overwhelming importance, models of supply base reduction are rare. Supplier sorting methods, used for pre-selection of suppliers and sometimes seen as methods for supply base reduction, have limitations ranging from (1) requirement of an exhaustive database of historical information (case-based reasoning), (2) inability to predefine the number of elements in a cluster (cluster analysis) and (3) inability to identify suppliers who are both highly capable as well as high performers (data envelopment analysis). In the present work, we develop a systematic framework for carrying out the supply base reduction process. The study assumes two important dimensions of suppliers—performance and capability. Performance of a supplier represents short-term effects on the achievement of supply chain objectives while supplier capability indicates long-term effects. Many of the performance and capability factors are imprecise in nature. In order to account for the imprecision involved in numerous subjective characteristics of suppliers, we use fuzzy set approach to measure the imprecision of these factors and rank a potential list of suppliers against their performance and capability. We then display their ranks in a ‘capability–performance matrix’ that helps a decision maker arrange the suppliers in decreasing order of preference. The desired numbers of suppliers are finally selected on the basis of this ordered list. The suggested framework will be of immense help to the practising managers in reducing the supply base—a prerequisite for building a strong supplier partnership and developing an effective supply chain. 相似文献
57.
Sudipto Sarkar 《Journal of Business Finance & Accounting》1997,24(5):685-704
Although there is substantial research on optimal bond refunding, an important real-life feature is missing from the existing literature: imperfect adjustment or 'stickiness' of bond yields to short term interest rate changes. Our model takes this behavior into account, and also has the ability to handle mean reverting interest rates. The results indicate that the former has a significant effect on the optimal refunding policy (especially for longer maturities), but the latter does not. By incorporating these features, our model will hopefully offer a fairly complete and easily implementable guide to managers with regard to the bond refunding decision. 相似文献
58.
Learning Through Interactions: Improving Project Management Through Communities of Practice
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Communities of practice are a possible mechanism for improving knowledge sharing among project managers, both within and between organizations. Based on intrinsic and extrinsic motivation, we theorize a model of participation intensity in communities of practice by project managers and explore the use of Web 2.0 technologies to increase this participation. Using structural equation modeling, we test the research model and find that the factors of reputation, enjoyment, and management support impact the participation intensity of project managers in communities of practice. However, we do not find support for the impact of Web 2.0 technologies on participation intensity. This study provides evidence that participation in communities of practice can result in individual benefits for the project manager, as well as in more far‐reaching organizational benefits. 相似文献
59.
We examine implications of time-varying correlation and covariance between excess equity returns and consumption growth for the equity premium of the G7 countries. We find that the correlation and covariance are higher when there is a negative shock to labor income and a positive shock to returns. The combined effect is that the correlation and covariance are countercyclical and so is the equity premium. We test asset pricing models with time-varying consumption risk and find that the conditional price of risk is generally positive. These results survive several robustness checks. Our results highlight the importance of labor income for understanding dynamics of the equity premium. 相似文献
60.
Sumit Sarkar Ram S. Sriram Shibu Joykutty 《International Journal of Intelligent Systems in Accounting, Finance & Management》1996,5(3):147-163
This study examines the use of a belief network based expert system for an auditing task—financial distress evaluation for banks. A belief network uses probability measures to store important dependencies across variables of interest in a problem domain, and makes inferences based on observed evidence using probability calculus. This paper discusses how belief network structures can be constructed, and used to assist auditor's in making appropriate recommendations regarding the financial health of a bank under audit. The ability of a belief network to make reliable predictions depends on how well the network structure reflects the underlying dependencies across variables in the problem domain (e.g. financial ratios and the financial health of a bank). The first part of this study illustrates how a computer program developed by the authors can be used to generate and evaluate different feasible belief network structures based on historical data. The program uses an information-theoretic measure to compare the alternative structures. The ability of the program to identify existing dependencies across variables is demonstrated by using it to reconstruct a known network structure from simulated data. Next, the program is used on a database of twelve important bank financial ratios over a three-year period. The predictive ratios identified by the program reflect important areas of a bank's health, such as loan quality, efficiency, profitability and capital adequacy. Finally, a belief revision mechanism is encoded for the belief network structure identified earlier, and is used to illustrate how it can assist auditors in making recommendations about financial health based on a bank's critical financial ratios. The probability estimates provided by the system are validated using data on banks not used in the network design stage, and are found to be reliable. 相似文献