Application of collective knowledge diffusion in a social network environment

ABSTRACT

We present a group dynamics model that shows knowledge integration as a process occurring over time. As each individual in the group contact others, his own knowledge changes, and over time the collective knowledge is obtained. This allows modeling knowledge diffusion in a social network and while the models presented in this paper are not competitive in that area, they approach the problem from previously unconsidered direction. We test the behavior of the model in a multi-agent simulation and we test a simple advertisement campaign in a social network. We provide discussion of elements needed for making model more competitive.     

Organizational versus Market Knowledge: From Concrete Embodiment to Abstract Representation

Synopsis In contrast to the neoclassical economic presumption in favor of markets, we argue that organizations, not markets should be taken as our default assumption. We do so on information processing grounds. We distinguish between Zen and market Knowledge. The first is embodied and hard to articulate and the second abstract-symbolic. In human evolution, the first type of knowledge came first, and, on any pragmatic definition of knowledge, it still incorporates most of what we mean by the term. We take codification and abstraction as the two data processing activities that lead to the articulation of knowledge into an abstract-symbolic form. We develop a conceptual framework, the Information-Space (I-Space) to show how far the articulation of knowledge leads to its being shared. Whereas an unlimited sharing of information and knowledge leads to market-oriented outcomes, a more limited sharing leads to organizational outcomes. A market-oriented economics has tended to look to physics for its models; the field of organization theory has tended to look to biology. A more organization-oriented economics would thus look more to biology for its models.     

Identifying “best” applicants in recruiting using data envelopment analysis

Selecting the most promising candidates to fill an open position can be a difficult task when there are many applicants. Each applicant achieves certain performance levels in various categories and the resulting information can be overwhelming. We demonstrate how data envelopment analysis (DEA) can be used as a fair screening and sorting tool to support the candidate selection and decision-making process. Each applicant is viewed as an entity with multiple achievements. Without any a priori preference or information on the multiple achievements, DEA identifies the non-dominated solutions, which, in our case, represent the “best” candidates. A DEA-aided recruiting process was developed that (1) determines the performance levels of the “best” candidates relative to other applicants; (2) evaluates the degree of excellence of “best” candidates’ performance; (3) forms consistent tradeoff information on multiple recruiting criteria among search committee members, and, then, (4) clusters the applicants.     

Stability, Asymmetry and Seasonality of Fund Performance: An Analysis of Australian Multi‐sector Managed Funds

Using a sample of Australian Multi-sector trusts we examine selectivity and market timing performance and extend the analysis to include the relatively new measure of volatility timing. This is of particular relevance to our data set, as high levels of volatility persistence are prevalent in Australia. In addition we consider the stability, asymmetry and seasonality of the various performance and risk measures. A survivorship adjustment procedure is also employed in order to assess the impact of survivorship on selectivity, market timing and volatility timing performance.     

论青少年犯罪动向及对策

近几年,青少年犯罪案件呈突发性、偶发性,犯罪年龄降低,由单独型向团伙型发展的特点.其原因有家庭因素、学校因素、社会因素.预防和惩治青少年犯罪,需要全社会广泛参与,综合治理.     

企业知识管理绩效综合评价案例研究

知识管理是现代企业管理的重要内容。正确分析和评价企业的知识管理绩效，对于促进企业知识管理、提高企业知识管理水平以及增强企业竞争优势，具有重要的现实意义。文章构建了企业知识管理绩效评价的指标体系，并运用模糊综合评价模型对企业知识管理绩效进行了综合评价。     

How to measure mutual fund performance: economic versus statistical relevance

In the present paper a comprehensive assessment of existing mutual fund performance models is presented. Using a survivor‐bias free database of all US mutual funds, we explore the added value of introducing extra variables such as size, book‐to‐market, momentum and a bond index. In addition to that we evaluate the use of introducing time‐variation in betas and alpha. The search for the most suitable model to measure mutual fund performance will be addressed along two lines. First, we are interested in the statistical significance of adding more factors to the single factor model. Second, we focus on the economic importance of more elaborate model specifications. The added value of the present study lies both in the step‐wise process of identifying relevant factors, and the use of a rich US mutual fund database that was recently released by the Center for Research in Security Prices.     

对可行性研究报告及经济评价的几点认识

指出在建设项目前期工作中存在的问题，建设项目前期工作滞后，前期方案深度不够，需对可行性研究报告及项目经济评价的方法与参数进一步完善，重视风险问题及清偿能力分析，提高技术经济人员的综合分析能力，实现投资决策科学化，提高经济效益。     

公路建设中路线方案多属性决策方法的研究

路线方案的比选是公路建设项目前期的一项重要工作,直接影响着项目建设能否达到预期的目标以及项目投入运营中的使用效果,如行车的安全性、舒适性、快捷性等。进行路线方案比选时,要考虑路线的线形合理性、对周边地区环境影响,项目经济效益、施工难易等多种因素对影响。本文在分析路线方案比选复杂性的基础上,对多种决策方法进行对比,选择TOPSIS法作为路线方案的决策方法。算例的结果表明该方法应用的可行性和有效性。     

基于聚类分析电信运营企业仓库布局优化研究

以某电信运营企业为例,在现场调研的基础上,分析了企业仓库布局的主要问题,应用聚类分析方法,提出了仓库布局优化方案,并进行了方案的综合评价.