浅谈交通运输的属性对经济的影响

交通运输的属性对经济的影响是明显的，本文从交通运输的属性谈起，系数详细分析了交通运输基本属性以及市场属性对经济活动的影响。希望本文的研究能够给交通运输的工作实践以指导，同时能给相关领域的理论研究带来帮助。     

深刻把握组织工作的四个基本属性

正准确把握组织工作的政治属性,始终把忠诚至上、政治坚定作为立身之本。组织工作必须紧紧围绕履行党的政治责任、巩固党的执政基础、实现党的执政使命来开展,始终把讲政治放在第一位,选拔干部要坚持政治标准,基层党建要突出政治功能,聚才集智要强化政治引领。准确把握组织工作的实践属性,始终把聚焦中心、     

我国对外经济合作中廉政风险防范管理的研究

党的十八大报告明确指出，反对腐败、建设廉洁政治，是党一贯坚持的鲜明政治立场，是人民关注的重大政治问题。这个问题解决不好，就会对党造成致命伤害，甚至亡党亡国。反腐倡廉必须常抓不懈，拒腐防变必须警钟长鸣。笔者由此产生将反腐倡廉工作的思想和精神延伸至对外经济合作领域的想法，尝试通过对廉政风险成因的理论分析，论述在对外经济合作中开展廉政风险防范管理的重要性和必要性。     

合作的属性分析

人类的合作行为是经济生活中的普遍现象,但是在理论上却一直没有一个很好的解释.本文根据国外近年来的最新研究成果,对人类合作的不同解释按其属性进行分类,试图从人类合作的自然属性、道德属性、文化属性三个方面揭示合作的本质,从而使得我们对人类本身有着更为深刻的认识.     

谈谈如何做好国有企业反腐倡廉的宣传教育工作

反腐倡廉宣传教育是党的思想政治工作的重要组成部分,是国有企业纪检监察部门的一项重要职能和经常性工作,做好国有企业反腐倡廉的宣传教育工作是推动企业健康快速发展的精神动力和思想保障。     

会计信息与会计计量属性应用的探讨

会计是通过确认、计量、记录和报告为会计信息使用者提供会计信息,会计计量在会计系统中处于核心的地位,会计信息需求对计量属性的选用将会有较大的影响。本文将对会计信息的要求,各种计量属性提供的会计信息进行分析,以及对不同的社会经济环境下会计信息需求对计量属性应用的分析,并展望会计计量属性未来的应用。     

深化反腐倡廉建设 构建廉洁企业

党的十八大报告正式提出廉洁政治的概念,把反腐倡廉建设提高到国家政治建设的高度,建设廉洁政治成为反腐倡廉建设的战略性目标。今后五年是秦皇岛港向"四商合一"的现代化企业迈进的关键时期,反腐倡廉建设面临许多新情况,作为国有企业要紧紧围绕建设廉洁政治的战略目标,创新思路,扎实推进廉洁企业建设,为全省经济跨越发展创造良好环境。     

提高国有企业纪检干部素质的思考

<正>党的十八大把反腐倡廉建设作为党的"五大建设重点"。提出"要紧紧围绕党的先进性和纯洁性建设,认真做好惩治和预防腐败各项工作",要求"深入推进以完善惩治和预防腐败体系为重点加强反腐倡廉建设","进一步提高反腐倡廉建设科学化水平,做到干部廉洁、政府清廉、政治清明"。这是对我国社会经济发展现阶段的反腐倡廉形势、任务的新的定位,是对我们在一线工作的纪检监察干部提出新目标和要求。     

农村基层党风廉政建设引起中纪委重视

■中纪委官员要求用"六要六不要"规范农村基层干部执政行为农村基层党风廉政建设是反腐倡廉工作的重要组成部分,也是加强农村经济建设、政治建设、文化建设、社会建设和党的建设的重要内容。中共中央政     

论加强新形势下国有企业反腐倡廉建设

党的十八大报告强调：“反对腐败、建设廉洁政治,是党一贯坚持的鲜明政治立场,是人民关注的重大政治问题。这个问题解决不好,就会对党造成致命伤害,甚至亡党亡国。”这是我党首次把反腐倡廉建设上升到关系国家生死存亡的历史高度,充分说明了新一届中央领导集体对新形势下反腐倡廉建设的高度重视,对加强党内建设、改善我党形象的坚定信心和决心。国有企业是我国社会经济的重要组成部分,国有企业党组织和广大党员是我党基层建设中的中坚力量。新形势下,如何进一步加强国有企业反腐倡廉建设,是摆在我们面前重要而现实的问题。     

Educational Landscapes and Urban Development. Contextual and Spatial Interfaces and Linkages

In the broad sociopolitical discussion on education quality within the last decade, it has become apparent that education is gaining importance for urban development, as well as space and the urban context are important dimensions of education. This becomes particularly evident in concepts for local educational landscapes (Ger. Bildungslandschaften). The young field of research on educational landscapes is currently lacking empirical research from spatial and planning sciences. In the paper, the current state of scientific research on educational landscapes in Germany and Europe and first insights to contextual and spatial interfaces and linkages between education and urban development in general are presented.     

Inventory Models with Continuous and Poisson Demands and Discounted and Average Costs

We develop a new, unified approach to treating continuous‐time stochastic inventory problems with both the average and discounted cost criteria. The approach involves the development of an adjusted discounted cycle cost formula, which has an appealing intuitive interpretation. We show for the first time that an (s, S) policy is optimal in the case of demand having a compound Poisson component as well as a constant rate component. Our demand structure simultaneously generalizes the classical EOQ model and the inventory models with Poisson demand, and we indicate the reasons why this task has been a difficult one. We do not require the surplus cost function to be convex or quasi‐convex as has been assumed in the literature. Finally, we show that the optimal s is unique, but we do not know if optimal S is unique.     

E-governance and Corruption-developments and Issues in Ethiopia

This paper reports the results of a survey of 400 respondents in Ethiopia about factors generating corruption and the potential of e-Governance to mitigate corruption. It is suggested that e-Governance can help not only in weeding out corruption but also in the establishment of sounder government citizen relationships in Ethiopia. While e-Governance cannot cure all the structural factors that breed corruption in the society, strategic implementation of e-Governance can help improve the critical variable in combating corruption-government citizen relationships. It is argued that while e-Governance initiatives can make important contributions to improving public services they can best do so by helping improve overall relationships between governments and citizens.

CEO and Chairperson characteristics and firm performance

This paper focuses on the relationship between Chief Executive Officer (CEO) and Chairperson characteristics and firm performance. Specifically, the study examines the association between the characteristics of the CEO and the Chairperson of the board and firm performance. Using a sample of S&P 500 firms, the evidence found suggests that demographic and experience-related characteristics may be associated with the market valuation and financial performance of the firm. In particular, the reported results indicate a positive relationship between the presence of female CEOs or Chairs and firm performance, thus suggesting that gender-based differences may affect the CEO’s/Chairperson’s success. Moreover, the findings concerning the age of the CEO or Chair are mixed, while their experience and quality appear positively related to firm performance. Interestingly, a CEO or Chairperson holding multiple board seats is negatively associated with firm performance, whereas CEO duality has a positive relationship with Tobin’s Q and the return on assets (ROA) of the firm.     

David and Goliath: causes and effects of coopetition between start-ups and corporates

Coopetition (collaboration between competitors) among young firms (i.e. start-ups) and larger, more established firms (i.e. corporates) may be beneficial for both partners as each party typically has something to offer that is missing in the other. Start-ups often develop innovative ideas, are flexible and agile, willing to take risks, and aspire to achieve high growth, but they tend to lack the required resources, capabilities, and knowledge due to their newness and smallness. Corporates have resources, routines, and experience that enable them to work efficiently but lack a certain innovation capability. Research has suggested that coopetition represents an opportunity for start-ups facing restrictions in resources, while corporates benefit from start-ups’ innovative ideas. However, it is yet unknown whether start-ups and corporates engage in coopetition with each other and, if so, how and why they do this. This study seeks to fill this void by exploring the motives of coopeting start-ups and corporates, how they manage their coopetitive relationship, and what implications occur including potential benefits and risks. We present a multiple case study based on qualitative data collected through 70 interviews with Austrian-based start-ups and corporates representing 35 coopetitive partnerships. Discussing the findings based on our data, we propose relationships concerning coopetition and its role to enlarge resource- and technology-bases as well as its role in the development of dynamic capabilities.     

Career orientations and career success among research,and development and engineering professionals

Managing the careers of research, development and engineering (RD&E) professionals is important to the strategic use of RD&E in the economy. Appropriate mechanisms for motivating RD&E professionals will probably emerge as a critical success factor for organizations that want to compete in world markets. This study examines dimensions and levels of career orientation and their correlations with individual and work-related outcome variables among 78 RD&E professionals. The findings reveal a rich diversity of career orientation in RD&E professionals. The data strongly suggest that RD&E professionals are service, lifestyle and security oriented. However, they scored low on technical orientation and entrepreneurship. This paper suggests that the dual career ladder is not an effective device for managing RD&E professionals. Organizations must be careful to provide career paths that retain and motivate workers and, more importantly, find matches between organizational needs and individuals' needs, and restructure jobs accordingly. The authors offer suggestions for future research and identify implications for management.     

Modeling Pathology Workload and Complexity to Manage Risks and Improve Patient Quality and Safety

Anatomic pathology (AP) laboratories provide critical diagnostic information that help determine patient treatments and outcomes, but the risks of AP operations and their impact on patient safety and quality of care remain poorly recognized and undermanaged. Hospital-based laboratories face an operational and risk management challenge because clinical work of unknown quantity and complexity arrives with little advance notice, which results in fluctuations in workload that can push operations beyond planned capacity, leading to diagnostic delays and potential errors. Modeling the dynamics of workload and complexity in AP offers the opportunity to better use available information to manage risks. We developed a stock-and-flow model of a typical AP laboratory operation and identified key exogenous inputs that drive AP work. To test the model, we generated training and validations data sets by combining data from the electronic medical records and laboratory information systems over multiple years. We demonstrate the implementation of 10-day AP work forecast generated on a daily basis, and show its performance in comparison with actual work. Although the model somewhat underpredicts work as currently implemented, it provides a framework for prospective management of resources to ensure quality during workload surges. Although full implementation requires additional model development, we show that AP workload largely depends on few and accessible clinical inputs. Recognizing that level loading of work in a hospital is not practical, predictive modeling of work can empower laboratories to triage, schedule, or mobilize resources more effectively and better manage risks that reduce the quality or timeliness of diagnostic information.     

Work and shopping overflow — Consequences and differentiation among selected psychological and demographic characteristics

Contemporary individuals are forced to deal with excessive stimulation, which causes an overload in the cognitive and emotional areas. The purpose of this paper is to investigate the possible factors differentiating the perceived level of work and shopping overflow experienced by individuals and consequences of these states. Two psychological variables: cognitive control and sensation seeking, are chosen as potential factors differentiating the perceived levels of overflow. We assume that individuals with high cognitive control and sensation seeking will report lower levels of both types of examined overflows. Experiencing low overflow levels may manifest in the search for additional stimuli, rather than in the desire to limit them. Two indexes of behavior connected to seeking extra stimulation are selected: one belonging to the area of consumer behavior (readiness to participate in the experience economy) and one belonging to vocational behavior (choosing a boundaryless career). The quantitative study is conducted on a sample of 297 management students who are currently employed. The research results support the relation between cognitive control and perceived level of work and shopping overflow. Individuals who can cognitively control the situation and the incoming stimuli report lower levels of overflow. No significant relationship between sensation seeking and the level of overflow is found. The demographic variables that influence the perceived overflow are age and salary for work overflow and age for shopping overflow. As far as consequences of overflow are concerned, a low level of shopping overflow is related to readiness to participate in the experience economy. However, there is no link between work overflow and preferred career pattern. The managerial implications for human resource management and marketing strategy design are discussed.     

Review and reappraisal of modelling and predicting mental workload in single- and multi-task environments

The concept of mental workload has long been recognized as an important factor in individual performance within complex systems. It is documented that either overload or underload may degrade performance, and further affect the efficiency of the whole system. Therefore, systems designers need some explicit models to predict the mental workload imposed on individuals by the system at an early design phase so that alternative system designs can be evaluated. In examining mental-workload literature, it is found that few predictive mental-workload models have considered factors specific to individuals. This research aims to develop a practical framework for predicting mental workload in both single- and multi-task environments considering such individual factors. In order to describe mental workload more precisely and more completely, a framework for mentalworkload definitions, which contains instantaneous workload, average workload, accumulated workload, peak workload and overall workload, is proposed. In order to model individual factors, two new variables, i.e. effective workload and ineffective workload, are introduced to model the taskgenerated workload and individual-generated workload. The extension of the model to multi-task environments is also discussed. The proposed conceptual models are domain-independent and could be used to guide the development of operational models for different specific tasks.