中国IT服务外包企业能力研究

基于企业能力理论与价值链分析,建立了适合我国国情的中国IT服务外包企业能力评价模型;通过对北京市近40家IT服务外包企业的实地访谈与问卷调查,分析了中国IT服务外包企业的能力现状及存在问题;结合理论研究与实证分析,提出了提升中国IT服务外包企业能力的对策建议。     

信息混沌环境下区域物流能力盲数测评模型

以盲数作为数学工具建立了区域物流能力的盲数测评模型.模型的基本思路是:首先构建区域物流能力构成要素的层次分析体系;然后采用改进的Delphi法建立模糊一致判断矩阵,确定各构成要素的权重;再将专家的评分结果表示成盲数并计算盲数均值;最后采用加权评分的方法得到区域物流能力总的测算值.设计了一个算例,算例表明模型的可行性和适用性.     

企业IT能力系统动态演变的分析模型研究

揭示企业IT能力的演变规律,有助于把握影响IT能力系统的关键因素,从而提高企业信息系统的应用效果。本文以系统观为基础,依据协同学理论,讨论了企业IT能力系统的概念及其构成,探讨了企业IT能力系统的协同特征,提出了企业IT能力成熟度作为企业IT能力系统序参量的五种状态特征,并建立了企业IT能力系统的序参量方程,最后构造了该系统动态演化机制理论模型。     

2008-2013年云南省区域创新能力分析--《中国区域创新能力报告》解读

受全球金融危机影响及面临中国经济发展的“新常态”,云南省正处于转型升级的关键时期,提升区域创新能力、实现创新驱动至关重要。以《中国区域创新能力报告》为基础,依据各具体评价指标,从排名和指标值两个维度,对2008－2013年云南省区域创新能力进行纵向比较,同时将云南省与丝绸之路经济带其他省份进行横向比较。结果显示：云南省总体上创新能力不仅比较差,而且呈逐年下滑态势。故认为创新主体能力不强、创新要素配置较低、创新环境有待加强等三方面是制约云南区域创新能力较弱的原因。据此,应从政府、产业、企业三个层面寻求突破,以提升云南省的区域创新能力。     

新时代全面从严治党思想的科学内涵和价值意蕴

进入新时代,以习近平为核心的党中央站在新的历史起点上,切实加强党的领导和党的自身建设,全面分析从严治党的新情况新问题,形成了科学系统、不断完善的新时代全面从严治党思想。新时代全面从严治党要向纵深推进,要求中国共产党在新时代中国特色社会主义建设的新实践中以更大的勇气和更坚定的决心全面加强从严治党,完整把握新时代全面从严治党思想的科学内涵和价值意蕴。     

On C pk Assessment in the Presence of Tool Wear

Process capability indices are routinely used in manufacturing industries for process monitoring. A basic assumption while using process capability indices is that there are no assignable causes of variation present. However, when variation due to an assignable cause is present and is tolerated, the conventional methods of capability measurement become inaccurate. In this article, we suggest an estimate of C_pk assuming that the process capability changes dynamically. We obtain an exact form of the sampling distribution in the presence of a systematic assignable cause. We discuss the problem of testing whether a given process is capable. The critical values for different sample sizes are obtained based on the sampling distribution. An example involving tool wear problem is presented.     

Developing a variables repetitive group sampling plan based on process capability index C pk with unknown mean and variance

In this paper, variables repetitive group sampling plans are developed based on the process capability index C _pk when the quality characteristic follows a normal distribution with unknown mean and variance. The sampling plan parameters such as the sample size and the acceptance constant are determined to minimize the average sample number. Symmetric and asymmetric cases, in percent defectives due to two specification limits, are dealt with for specified combinations of acceptable quality level and limiting quality level. Tables are provided and examples are given to use proposed plans in practice.     

数字经济发展的碳减排效应研究——基于223个地级市的实证检验

发展数字经济是有效降低城市碳排放强度的重要抓手。利用2016—2020年中国223个地级市面板数据,实证研究了数字经济发展对城市碳减排效应的影响。研究发现:数字经济发展能够降低城市碳排放强度;数字经济发展通过提高能源环境效率和推进产业结构高级化、合理化等渠道降低城市碳排放强度;战略性新兴产业创新能力加强了数字经济发展对碳排放强度的抑制作用。数字经济发展在降低城市碳排放强度的进程中存在双重门槛,只有在数字经济发展超过特定门槛值时,碳减排效应才会显著,且其效应呈现出递减特征。异质性分析表明,数字经济发展能降低非中心城市和非资源型城市碳排放强度,但对降低中心城市和资源型城市碳排放强度的影响不显著。因此,政府应积极抓住大数据、云计算、人工智能等“新基建”的发展机遇,夯实数字经济基础底座,实现城市碳减排。     

Accuracy Analysis of the Percentile Method for Estimating Non Normal Manufacturing Quality

We consider asymmetric kernel estimates based on grouped data. We propose an iterated scheme for constructing such an estimator and apply an iterated smoothed bootstrap approach for bandwidth selection. We compare our approach with competing methods in estimating actuarial loss models using both simulations and data studies. The simulation results show that with this new method, the estimated density from grouped data matches the true density more closely than with competing approaches.     

Learning in and from projects: the learning modes and a learning capability model

Abstract

The notion of ‘project delivery’ is well embedded in and across the management and organizational sciences literature – generating a narrative that reflects and recognizes the instrumental nature of projects and programmes in strategy execution. Project management, as a distinct and well-established body of research enquiry, has increasingly sought to focus our attention on the impacts of complexity, risk and uncertainty in projects; the corollary being a desideratum to strengthen our theoretical understanding of how insight and learning from projects may influence improvements to organizational efficiency. The wider literature suggests that organizational learning remains a challenging proposition, particularly in the context of organizations operating in environments of high complexity. In this paper, we enhance the conversation on organizational learning through a series of case studies, generating evidence of thirteen ‘learning modes’. The paper proposes that mature organizations tend to exhibit a greater number of learning modes and that there is a tendency to capture and socialize knowledge with a greater emphasis on the context of the learning situation rather than the learning artefact in isolation. The empirical evidence gathered in this paper forms the basis of a capability model, characterized by the thirteen modes of learning. The model intimates that learning occurs, and is more effective, when knowledge and information are enacted in practice through the learning modes which form a nucleus of the organizational learning capability. The research concludes with a 'call to action' that emphasizes the strategic importance of learning practices and routines in project oriented-organizations.