电动汽车新进入者领先在位者机制研究

现有创新理论关于新进入者超越在位者的研究基于前者率先采用新技术的情境,且研究视角单一及定量研究不足,难以系统完整解释电动汽车在位者率先研发而新进入者领先的创新现象。本文基于专家访谈和文献调研,利用结构方程模型,构建并验证了分析新进入者领先的原因及机制,据此解释了电动汽车新进入者领先在位者的现象。研究发现,新进入者领先的主要原因来自创新动力、技术模式和商业模式三方面。商业模式是新进入者目前取得领先地位的主要原因,技术模式对新进入者能否保持领先有重要作用,创新动力则是推动企业优化技术模式和商业模式的关键。本研究丰富了新进入者与在位者的创新理论,对新进入者和在位者如何有效配置创新资源都具有重要启示意义。     

我国煤矿企业信息化建设与核心能力形成相关性实证研究

近十余年来,我国煤炭业在全行业范围内大规模地开展了学习型组织建设和信息化建设,以改进组织管理绩效,提高企业的核心竞争力。煤炭业的核心竞争力可分解为核心技术能力、核心管理能力、核心市场能力。运用结构方程模型对煤炭业的组织学习、信息化建设与核心竞争力形成之间的微观机理进行实证检验,以期对我国煤炭业先进管理方式的全面推行提供借鉴。     

基于工作任务的组织知识结构方程分析

在心理学的知识定义基础上,深入分析基于工作任务的组织认识知识、组织价值知识和组织情感知识的内涵要素;并利用结构方程模型对组织知识的结构维度进行验证性分析,指出有关组织知识的结构和内涵要素分析对于研究知识管理和提高知识员工生产率途径有所裨益。     

Investigation of a naturally patinated bronze artifact originating from the outdoor statuary group of Mathias Rex

The present work aims to investigate the morphology and composition of natural patina formed after long-term atmospheric exposure (∼100 years) on the bronze screws used in assembling the statuary group of Mathias Rex, placed in the center of Cluj-Napoca, Romania. The chemical composition of the bronze and of the natural patina, formed on the screws’ surface were determined by X-ray fluorescence analysis, and the morphology of the latter was determined by SEM - EDX cartographies.     

Cloud Computing for Voxel-Wise SEM Analysis of MRI Data

As data collection costs fall and vast quantities of data are collected, data analysis time can become a bottleneck. For massively parallel analyses, cloud computing offers the short-term rental of ample processing power. Recent software innovations have reduced the effort needed to take advantage of cloud computing. To demonstrate, we replicate a voxel-wise examination of the genetic contributions to cortical development by age using evidence from 1748 MRI scans. Specifically, we employ off-the-shelf Kubernetes software that permits us to re-run our analyses using almost the same computer code as was published in the original article. Large, well funded institutions may continue to maintain their own computing clusters. However, the modest cost of renting and ease of utilizing cloud computing services makes unprecedented compute power available to all researchers, whether or not affiliated with a research institution. We expect this to spur innovation in the sophisticated modeling of large datasets.     

Modeling small group learning

This article presents findings from an empirical study on the relations between the variables comprising learning mechanisms in small collaborative groups. Variables comprising the central learning mechanisms component were task related interactions, knowledge elaborations, and subjective estimation of knowledge acquisition. Student related determinants of the learning processes were dysfunctional behavior, and work group management. Tutor related determinants were tutor facilitative behavior(facilitation, questioning, and mini-lecturing), and tutor work group management. The selected variables were structured into a path model. The first question concerned the way the three variables comprising the learning mechanisms component are related to each other. We have contrasted mediation vs. addition hypothesis. The second question concerned the validity of the complete small group functioning model. In order to answer these questions we have constructed a questionnaire and administered it to 89 1st year medical students. Concerning the first question, the data were in accordance with the mediation hypothesis. Specific analyses showed that only the collaborative sequence type of task related interactions had positive effects on both knowledge elaborations and knowledge acquisition. In contrast the transfer of knowledge type of interactions had negative effects on the same variables. Test of the validity of the complete model showed a satisfactory model fit. Briefly, our findings suggest that a large proportion of collaborative sequences in the group, together with a low proportion of dysfunctional behavior and highly facilitative behavior of the tutor will lead to a high proportion of knowledge elaborations. Knowledge elaborations positively affect knowledge acquisition which is an important determinant of the student satisfaction and motivation.     

LEO-1450扫描电镜一种真空故障的排除

扫描电子显微镜观察和X射线微区分析是近年来迅速发展起来的一项重要的分析技术。真空是电镜工作的一个最基本的保障,真空系统出现故障,则整个设备便处于瘫痪状态。该文主要描述了真空压力传感器Penn ing规管污染造成真空系统故障的表现及其解决方法。     

可耗竭资源型企业转移行为干预因子的系统分析——基于跨区优势要素耦合与生态文明联动的思路

基于跨区优势要素耦合与生态文明联动的可耗竭资源型企业转移行为,是一个新兴的实际问题,也是一个理论前沿问题。对此,运用系统工程学和行为经济学的思想,基于从2000-2009年我国可耗竭资源型企业跨区转移的大量项目与其它未转移项目的对比中提炼出的12种企业转移的特征行为,通过文献研究与访谈调查提炼企业转移行为的干预因子,选取"行为收益感知"与"行为成本感知"为中介变量,建构此类企业转移行为的干预因子结构方程模型进行实证检验。研究结果表明:"政策指向"、"资源衰竭压力"、"利益趋向"、"决策倾向"、"异地要素引力"和"原地区位斥力"因子都是间接地对"高成本-高收益转移行为"、"低成本-低收益转移行为"产生显著的正效应,且表现出干预强度由重到轻的顺序;其对于"高成本-高收益转移行为"的整体干预强度明显重于对于"低成本-低收益转移行为"的整体干预强度;其干预方式和干预路径也具有一定的规律性。研究成果为我国跨区优势要素耦合与生态文明联动下可耗竭资源型企业转移行为调控策略的制订提供了理论依据。     

基于SEM的新型职业农民信息服务使用意愿影响因素研究

为进一步了解新型职业农民使用信息服务的意愿及其影响因素,为提高后续提供知识服务的科学性、针对性和有效性提供参考依据,更好地满足他们的信息需求。基于技术接受模型和期望确认理论,构建新型职业农民信息服务使用意愿影响因素模型,采用问卷调查方法收集数据,利用Smart PLS 3.0工具检验提出的假设。研究结果表明,信息质量、感知有用性和期望确认度对新型职业农民使用意愿具有显著的正向影响,感知成本和感知风险对其使用意愿具有显著的负向影响,进一步分析模型分成因,并为后续针对新型职业农民的信息服务提出几点建议。     

高校科研团队内部隐性知识共享绩效实证研究

以高校科研团队为研究对象,构建了高校科研团部内部隐性知识共享绩效的影响因素模型,对江苏省8所高校243名教师进行问卷调查,根据调查数据进行信度分析和效度分析,通过因子分析将隐性知识共享动机分为生活动机和社会动机,然后分析团队成员的人口统计学特征对隐性知识共享相关指标的差异性,并运用结构方程模型对高校科研团队隐性知识共享绩效影响因素进行路径分析。研究结果表明：团队成员人格对成员隐性知识共享动机有显著正向影响;隐性知识特性对高校科研团队隐性知识共享绩效存在显著负向影响;成员隐性知识共享能力、团队隐性知识共享环境和团队成员间信息对称性对隐性知识共享绩效有显著正向影响。