结构导向组织创新、技术创新与组织绩效的牵引效应

构建结构导向组织创新、技术创新与组织绩效的牵引效应模型,以结构导向组织创新为潜在自变量,以技术创新为潜在调解变量,以组织绩效为潜在因变量,对347家高技术制造企业进行问卷调研及深度访谈,应用结构方程模型(SEM)分析结构导向组织创新、技术创新与组织绩效的牵引效应.研究表明,结构导向组织创新对组织绩效没有显著的直接影响,但会直接拉动企业技术创新活动的开展和实施效果,并以技术创新为媒介对组织绩效产生显著的影响,由此证明结构导向组织创新、技术创新与组织绩效三者之间存在牵引效应.     

Dependency structure language model for topic detection and tracking

In this paper, we propose a new language model, namely, a dependency structure language model, for topic detection and tracking (TDT) to compensate for weakness of unigram and bigram language models. The dependency structure language model is based on the Chow expansion theory and the dependency parse tree generated by a linguistic parser. So, long-distance dependencies can be naturally captured by the dependency structure language model. We carried out extensive experiments to verify the proposed model on topic tracking and link detection in TDT. In both cases, the dependency structure language models perform better than strong baseline approaches.     

Parsimonious translation models for information retrieval

In the KL divergence framework, the extended language modeling approach has a critical problem of estimating a query model, which is the probabilistic model that encodes the user’s information need. For query expansion in initial retrieval, the translation model had been proposed to involve term co-occurrence statistics. However, the translation model was difficult to apply, because the term co-occurrence statistics must be constructed in the offline time. Especially in a large collection, constructing such a large matrix of term co-occurrences statistics prohibitively increases time and space complexity. In addition, reliable retrieval performance cannot be guaranteed because the translation model may comprise noisy non-topical terms in documents. To resolve these problems, this paper investigates an effective method to construct co-occurrence statistics and eliminate noisy terms by employing a parsimonious translation model. The parsimonious translation model is a compact version of a translation model that can reduce the number of terms containing non-zero probabilities by eliminating non-topical terms in documents. Through experimentation on seven different test collections, we show that the query model estimated from the parsimonious translation model significantly outperforms not only the baseline language modeling, but also the non-parsimonious models.     

An empirical study of query expansion and cluster-based retrieval in language modeling approach

The term mismatch problem in information retrieval is a critical problem, and several techniques have been developed, such as query expansion, cluster-based retrieval and dimensionality reduction to resolve this issue. Of these techniques, this paper performs an empirical study on query expansion and cluster-based retrieval. We examine the effect of using parsimony in query expansion and the effect of clustering algorithms in cluster-based retrieval. In addition, query expansion and cluster-based retrieval are compared, and their combinations are evaluated in terms of retrieval performance by performing experimentations on seven test collections of NTCIR and TREC.     

基于虚拟环境的黄河仿真系统构建

虚拟现实的产生和发展无疑为加强地理科学研究提供了强大的手段和方法上的支持.本文从虚拟环境的角度出发,给出了一个黄河仿真系统的建设方案,它包括数据源、三维仿真地形库、三雏仿真模型库、三维仿真虚拟实现四大模块.然后详细探讨了黄河仿真系统的关键技术: ①通过对三维图形开发工具OpenGL的原理、实现功能等的分析,提出了在黄河仿真系统建设中OpenGL技术的具体应用实现方法,实现了实时动态漫游; ②基于MultiGen Creator的真实感三维模型建设; ③利用OpenGL和MO来实现三维场景与二维电子地图的互响应;这充分发挥了三维场景与二维电子地图各自的优势,有机地结合了三维虚拟场景的直观性、现实性、局部性和二维电子地图的宏观性、整体性、简洁性的优点,同时又克服了三维虚拟场景漫游的方向迷失感和二维电子地图的抽象多义性.     

我国铁路系统生产效率的实证研究——基于DEA模型的两阶段分析

以数据包络分析法为理论工具,从生产效率的视角对我国铁路经营效率进行总体评价与定量分析,并在第二阶段通过Tobit模型对铁路生产无效率的影响因素予以识别。研究发现:(1)我国铁路总体上生产效率较低,纯技术无效率是主要根源;(2)东部是铁路最发达的地区,规模无效率和纯技术无效率分别是东部和中西部地区无效率的根源;(3)铁路普遍存在投入拥挤和产出不足的现象,中西部地区程度远高于东部地区;(4)经济发达程度、人口总数、铁路经营管理水平、铁路路网密度和公路路网密度是影响铁路生产无效率的主要因素。     

产学研结合的创新模式探析

针对目前产学研合作模式的界定、选择中存在的问题，分析了产学研合作创新模式的结构。以产学研合作过程的5个阶段为线索，对产学研合作的模式进行了界定与分析，提出了产学研合作的5种模式与12种类型，对不同阶段产学研合作模式选择提供了新的研究思路。     

基于ISM-Fuzzy AHP的我国中小企业核心竞争力要素分析

本文首先基于已有研究及调研结果,采用主成分分析法选出7个核心竞争力要素,并以苏州、杭州中小企业为例,通过问卷调查获取数据,并运用ISM-Fuzzy AHP模型分析法对中小企业核心竞争力要素进行实证研究。分析表明,我国企业已日益重视对人力资源、技术创新、市场营销、组织管理能力等核心竞争力要素的培育,但对企业文化的塑造仍不够重视。     

生态学视角下基于熵权可拓模型的山西省人才聚集预警研究

基于生态学的理论视角,结合熵权和物元可拓模型的相关理论,以山西省为例,从生态学的角度构建人才聚集预警的指标体系,建立人才聚集预警熵权可拓模型对山西省2006—2013年的人才预警状况进行实证分析,结果表明:山西省人才聚集处于中度预警状态,制度生态因子、社会生态因子、经济生态因子的推动作用促进山西省人才聚集预警度呈现转好的局面,文化生态因子和教育生态因子阻碍了人才聚集的平衡性发展,出现了向低等级转移的趋势。为防止山西人才聚集的非经济现象更加突出提供理论依据,为山西省人才聚集的良性发展提供参考性意见。     

基于供应链的区域船舶制造产业集群网络模型研究

为揭示产业集群的网络本质和复杂特性,采用供应链视角考虑区域中船舶制造产业集群的网络结构。根据船舶制造产业的特殊生产过程,论述区域中船舶制造产业集群的3个方面特征:需求拉动、复杂网络和核心企业。基于单一供应链构建区域船舶制造产业集群的基本网络模型,解释供应关系下基本网络中的企业链接;基于交叉供应链构建区域船舶制造产业集群的多重网络模型,论证模块化导致的网络结构变化。在此基础上,结合复杂网络理论说明区域船舶制造产业集群网络结构的有向加权网络特征、无标度网络特征和层次网络模块特征。