关于提高油田工程技术服务企业竞争力的思考

石油工程技术服务企业要抓住当前油价持续高位运行的历史机遇,大力拓展国际市场,加大科技投入和科技创新的力度,培养和造就高素质的企业人才队伍,提高企业竞争实力,为企业的持续发展打下坚实的基础。     

论电子政务与政府竞争力的关系

随着全球政治生态的变迁,信息能力日益成为政府竞争力的关键.以公众为中心的电子政务不仅为提升政府信息能力奠定了基础,而且为强化政府的公共决策能力、政策执行能力与政策监控能力提供了强大的技术支持.因而,加速推进以公众为中心的电子政务建设是提升政府竞争力的必由之路.     

新形势下中国半导体设备的发展对策

随着半导体生产热点全球性地向中国转移,国内的半导体设备行业面临着空前的巨大机会和前所未有的严峻挑战。在全面深入分析半导体设备特性以及行业发展特点的基础上,指出核心技术是产品性能和成本即市场生命力的决定性因素。针对当前国内半导体设备开发中普遍存在的偏差与误区,提出了努力促进企业自身对核心技术全面深入的掌握,不断增强其自主持续创新能力的半导体设备发展对策。以全自动引线键合机开发和市场的具体详细实例印证这一论断。     

高职旅游管理专业培养计划研究

从高等职业技术教育特点入手 ,通过分析目标职业岗位群对人才的知识、能力、素质结构的要求 ,提出了高职旅游管理专业的培养目标与培养模式。     

城市空间结构竞争力问题研究--以西安为例

论文以城市竞争力与城市空间结构研究成果为基础，系统探讨了两者之间的内在联系，提出了测度城市空间结构竞争力的指标体系，并以西安作为实证分析对象，综合评价了西安城市空间结构竞争力，进而提出了优化西安城市空间结构的思路及对策．     

我国城市竞争力研究的现状评析与创新思考

城市竞争力及其评价是近年来我国城市研究的热点问题。论文在综合分析国内城市竞争力研究现状的基础上，指出了当前研究的不足及其深刻意义，并结合我国城市发展的总体趋势，提出了城市竞争力研究应该在研究视角、研究方法等方面进行创新，以推动城市的可持续发展。     

Forecasting models for Taiwanese tourism demand after allowance for Mainland China tourists visiting Taiwan

The tourism industry is an increasingly important national industry for Taiwan. Government policymakers and business managers pay close attention to the development of the tourism industry. In a rapidly changing environment that is influenced by numerous socioeconomic factors, the tourism industry must have an accurate method to forecast future tourism demand such that decision makers will be able to meet future challenges more effectively. Based on these concerns, this study proposes the SARIMA–GARCH model to analyze and forecast the tourism demand in Taiwan and compare the predictive power of this model and other forecasting models. The results provide a valuable reference for decision-makers in the tourism industry of Taiwan.     

浅析企业文化导向的核心竞争力理念

通过对企业文化与核心竞争力相互关系的分析,运用理论研究方法对企业文化与核心竞争力进行理论性研究分析,着重指出企业文化是核心竞争力的主要组成部分,企业文化对于提高企业价值,增强企业核心竞争力具有不可估量的作用。     

A novel evolutionary-negative correlated mixture of experts model in tourism demand estimation

Mixtures of experts (ME) model are widely used in many different areas as a recognized ensemble learning approach to account for nonlinearities and other complexities in the data, such as time series estimation. With the aim of developing an accurate tourism demand time series estimation model, a mixture of experts model called LSPME (Lag Space Projected ME) is presented by combining ideas from subspace projection methods and negative correlation learning (NCL). The LSPME uses a new cluster-based lag space projection (CLSP) method to automatically obtain input space to train each expert focused on the difficult instances at each step of the boosting approach. For training experts of the LSPME, a new NCL algorithm called Sequential Evolutionary NCL algorithm (SENCL) is proposed that uses a moving average for the correlation penalty term in the error function of each expert to measure the error correlation between it and its previous experts. The LSPME model was compared with other ensemble models using monthly tourist arrivals to Japan from four markets: The United States, United Kingdom, Hong Kong and Taiwan. The experimental results show that the estimation accuracy of the proposed LSPME model is significantly better than the other ensemble models and can be considered to be a promising alternative for time series estimation problems.     

The role of relationship promoter in new product development collaboration

Since new product development (NPD) collaborations with external partners have become the next generation in NPD practices, relationship promoters have become especially relevant as key contributors to the success of this type of inter-organisational collaboration. To realise successful outcomes in NPD collaborations, partners face the challenge of effectively integrating the role of relationship promoter into their existing and essential relationships of trust. It is within this context that this paper examines the role of the relationship promoter, by analysing its moderating effect on the relationship between trust and the outcomes of NPD collaboration – including new product competitiveness and partner satisfaction. We test our hypotheses against survey data from 107 innovative firms involved in NPD collaboration with the help of relationship promoters. The results show that, while a non-significant influence can be reported about the presence of a relationship promoter in terms of partner satisfaction, the relationship promotor weakens the influence of trust on new product competitiveness, making trust less important when it comes to creating a competitive new product.