哲学社会科学基金项目立项课题计量统计分析——基于民族问题研究的视角

用文献计量学的方法对哲学社会科学1993～2010年基金立项状况进行多角度、多方位的分析统计.研究显示:民族问题研究的立项数量和资助力度逐年增长.以一般项目和青年项目的立项为主体,重点项目和自筹项目相对较少.18年间立项988项,占全国的比例为4.92%,其中高校立项674项,群众团体和军事院校分别为1项和3项,科研实...     

“MANAGING THE DECISION SCIENCE TECHNOLOGY: A CASE FOR ETHICAL ANALYSIS?”-COMMENT

In the current issue of Decision Sciences, Brightman [2] argues that the growth of the discipline should be managed, and individual decision scientists must ultimately be held accountable for the ethical implications of implementing their research findings. The purpose of this comment is to examine several principles behind Brightman's arguments and to initiate a discussion of some of the important issues that have been raised. The distinction between the inquiry and technological imperatives and questions about the universality of moral reasoning at the ethical-principles leverl further Brightman's analysis and pose important considerations for decision scientists.     

Information Systems Management Issues: Reporting and Relevance*

Reports of key information systems issues have been published over the last two decades in many journals. Leading IS journals (e.g., MIS Quarterly, Information & Management, among others) have published key IS management issue reports every three or four years over the last 15 years, and will probably continue to provide such reports in the future. Although these reports claim to provide decisional guidance to practitioners, researchers, consultants, etc., the authors in their experience have noted concerns about their usefulness. While not questioning the validity of the methods and analysis conducted in these studies, we address two important questions in this article: the manner of reporting of the key issue results (which might be misleading), and the relevance of the results (are they providing what they intended to?). We hope that our discussion will provide new perspectives in making resource allocation decisions to both readers and authors of key issue articles.     

ESTIMATING EMPLOYMENT DISCRIMINATION LIABILITY WITH A DETERMINISTIC SIMULATION*

This paper presents an employment discrimination liability model that estimates back-pay liability for an employer's discriminatory employment practices by simulating employment practices under assumptions of fairness. Comparison of the racial/sexual composition of the simulated fair work force with the racial/sexual composition of the employer's actual work force permits identification of cases of discrimination. The model suggests that the choice of a stock or flow approach will have a significant effect on the amount of employer liability.