多管齐下 提高机电专业毕业生竞争力——基于北京石油化工学院机电系毕业生质量跟踪调查分析

论文通过问卷调查与对比研究的方式,概括了北京石油化工学院机械工程学院2006-2009届机电系毕业生的就业现状,分析了用人单位和毕业生对我机电系人才培养方面的意见和建议,最后提出了突出实践教学环节、实行素质教育等六个方面的建议。     

浅谈现浇钢筋混凝土结构裂缝的原因及防治措施

近年来,我国现浇混凝土结构得到广泛地推广和应用,但当建筑结构的平面尺寸较大时,现浇混凝土结构,尤其是普通楼板,易出现许多裂缝。结合工作实际,针对现浇钢筋混凝土结构裂缝的产生原因与防治方法进行了论述。     

基于“五力模型”的人力资源管理体系

人力资源管理在企业经营管理实践和推动企业发展两方面发挥了举足轻重的作用。本文提出基于"五力模型"的人力资源管理思想探讨企业等组织的人力资源管理活动,同时探讨人力资源管理中的"二八理论"和"长尾理论"现象,来提高人力资源管理活动的功效。     

中韩新能源产业合作的经济效应实证研究

本文主要探讨中韩新能源领域的合作,尤其是对两国新能源领域中合作的经济效应进行评估。为了评价合作的经济效应,本文建立新能源合作的相对收益指数,并利用向量自回归模型(VAR)探寻能源合作指数(ECI)和贸易、GDP之间的关系,从而论证中韩新能源产业合作的重要性。     

Financing preferences: evidence from the Korean market

We investigate the financing decisions of Korean firms during the period of 1996–2015. Korean firms follow a matching strategy for funding their cash needs. Cash inflows from investing activities are the primary source of funding for capital expenditures, and cash inflows from financing activities are the major means of covering cash outflows from financing activities. We also find that Korean firms’ financing practice of handling cash deficits can be described by the pecking order model modified and augmented by cash flow variables. Cash inflows from investing activities account for the major portion of financing to make up for cash deficits, followed by short- and long-term debt, and then equity financing.     

Parametric links for binary choice models: A Fisherian–Bayesian colloquy

The familiar logit and probit models provide convenient settings for many binary response applications, but a larger class of link functions may be occasionally desirable. Two parametric families of link functions are investigated: the Gosset link based on the Student t latent variable model with the degrees of freedom parameter controlling the tail behavior, and the Pregibon link based on the (generalized) Tukey λ family, with two shape parameters controlling skewness and tail behavior. Both Bayesian and maximum likelihood methods for estimation and inference are explored, compared and contrasted. In applications, like the propensity score matching problem discussed below, where it is critical to have accurate estimates of the conditional probabilities, we find that misspecification of the link function can create serious bias. Bayesian point estimation via MCMC performs quite competitively with MLE methods; however nominal coverage of Bayes credible regions is somewhat more problematic.     

Estimating the Economic Impact of Convention and Exhibition Businesses,Using a Regional Input–Output Model: A Case Study of the Daejeon Convention Center in South Korea

Past research on the economic impact of convention and exhibition businesses has neglected disaggregated expenditures of these consumer groups. The primary reason for this neglect is that estimating the economic impacts of these businesses is complicated and requires comprehensive surveys of various consumer groups. Thus, this study estimated expenditures based on surveys to different consumers such as convention and exhibition visitors, convention and exhibition organizers, and exhibitors. This study also employed a regional input–output (I–O) model and then matched the types of expenditure patterns with the I–O table. Survey results show that exhibition visitors spent the largest amount (US$153 million), followed by convention attendees (US$48 million), convention organizers (US$47 million), exhibition organizers (US$3.3 million), and exhibitors (US$2.8 million). The results of the I–O model indicate that the Daejeon Convention Center generated US$488 million of output impact, US$102 million of income impact, US$233 million of value added impact, and 10,211 jobs.     

Interdependence in the technology adoption decision among municipalities

This study examines the interdependence among municipalities in the discrete decision to adopt internet technology. Results from probit specifications with interaction effects suggest that cities are influenced by nearby neighbours with similar population size in developing a website. Evidence is also presented indicating interaction among municipalities in the decision to use internet technology to facilitate financial transactions.     

Structuring technological information for technology roadmapping: data mining approach

Most research on technology roadmapping has focused on its practical applications and the development of methods to enhance its operational process. Thus, despite a demand for well-supported, systematic information, little attention has been paid to how/which information can be utilised in technology roadmapping. Therefore, this paper aims at proposing a methodology to structure technological information in order to facilitate the process. To this end, eight methods are suggested to provide useful information for technology roadmapping: summary, information extraction, clustering, mapping, navigation, linking, indicators and comparison. This research identifies the characteristics of significant data that can potentially be used in roadmapping, and presents an approach to extracting important information from such raw data through various data mining techniques including text mining, multi-dimensional scaling and K-means clustering. In addition, this paper explains how this approach can be applied in each step of roadmapping. The proposed approach is applied to develop a roadmap of radio-frequency identification (RFID) technology to illustrate the process practically.     

Strategic visualisation tools for managing technological information

In an information economy, the effective management of a massive amount of technological information is inevitable when attempting to facilitate the decision-making process. It is an important part of selecting R&D projects and allocating budgets to promising technology development. Information visualisation is thus regarded as a critical tool in technological information management because it can provide decisive implications that the intelligence of humans cannot produce. This paper proposes six graphical forms, including a technology tree, a technology map, a technology network, a technology matrix, a technology curve, and a technology dictionary, presenting the generic form and concept of each method. Moreover, the principles and applications of such visualisation tools are suggested in order to enhance their use in practical circumstances. A case study of TFT-LCD (thin film transistor-liquid crystal display) technology will help to explain how to apply visualisation tools to strategic technology management.