智能电网智能品质评价指标体系探析

简要介绍了智能电网与智能电网智能品质的概念与特点,结合智能电网理论研究现状借鉴并提出了智能电网评价指标体系设计的原则及构建方法论,依此构建了以技术性、经济性和社会性作为三个一级指标的智能电网智能品质评价指标体系,其中一级指标下面还细化有二级指标和三级指标。     

电子商务环境下iCRM体系结构分析

智能客户关系管理是电子商务时代客户关系管理发展的新方向.本文首先描述了iCRM和客户智能,并对iCRM的数据挖掘结构模型进行分析,最后详细剖析了基于客户智能的iCRM的体系结构.     

某采油厂智能化规划分析

采油厂智能化是采油厂信息化的必然发展方向,也是采油厂提高生产和管理水平的重要技术手段。分析和设计采油厂的智能化规划是实现智能化采油厂的第一步。文章从业务方面分析某采油厂智能化规划中存在的问题,提炼智能化规划需求,提出智能化指标,设计某采油厂智能化规划的总体架构、应用架构和数据架构,以期有效指导某采油厂的信息化建设工作。     

财务智能,你准备好了吗?

随着会计信息化的发展,商务智能有了深入的应用,财务智能是商务智能在财务软件领域的应用。本文首先介绍了商务智能和财务智能的概念及系统构成,随后介绍了财务智能的3种实现方式,包括智能财务分析系统、ERP中管理驾驶舱的功能、利用电子报表和水晶易表实现,最后提出对财务智能的发展展望。     

决策智能理论与方法研究

随着大数据应用的普及,特别是人工智能技术的突破,促使决策范式从信息化向智能化升级转型.以大数据解析和混合智能为核心技术支撑的决策智能,正处于萌芽阶段,已逐渐受到学术界、政府部门和产业界的重视,相关研究对实施科技强国战略具有重要意义.结合国家自然科学基金委管理科学部"十四五"规划相关领域的前期专家讨论意见,本文凝练出该领域五个值得深入探索的研究方向,并给出了每个方向的典型科学问题示例.     

浅析物联网技术的三大应用

物联网是一个基于互联网、传统电信网等信息承载体,让所有能够被独立寻址的普通物理对象实现互联互通的网络。它最主要的技术包括了射频识别技术和传感器技术,在这两项技术的帮助下物联网实现了智能化的多方面具体应用。本文从物联网的三项主要技术谈起,重点分析物联网在智能交通、智能电网和智能物流中的典型应用。     

智能结构及其应用问题

文章阐述了智能结构的概念 ,介绍了智能结构的组成和特性 ,在综述智能结构在国内外多个领域的研究与应用基础上 ,探讨了目前存在的问题及其对策。     

运用多元智能理论 探寻优势智能领域

中职学校教学中要善于发现学生的优势智能，并以此切入，使其变得更优，进而将优势智能迁移到非优势智能领域，带动多方面的发展。     

基于对智能电网发展的研究

众所周知，发展智能电网已成为当今世界电力行业发展的主要趋势之一。世界各国都临资源匮乏以及由开发引发的环境恶化的、问题，前所未有的压力与挑战摆在人类社会的面前。在电力领域，智能电网理论受到了社会各界的广泛关注。本文将着重介绍智能电网的由来和发展趋势。     

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.     

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.     

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.     

Chronic stress and chronic disease in life and work: Conceptual and methodological issues

This paper argues that the lack of strong prospective evidence linking occupational and social stress to chronic disease stems from the failure of research designs to attend sufficiently to the aetiological chronicity of such diseases. Studies of both supposedly acute stress (life events) and chronic stress in life or work must increasingly be designed to distinguish between stress which is sustained or chronic over a period of yean or even decades, and hence capable of causing a serious chronic disease, and brief or transient stress, which may produce transient or brief psychological or physiological disturbances but cannot generate major chronic disease. Prospective studies are needed which collect measures of both stress and health or disease at multiple points over an extended period of time. Measures of stress should focus more on affect (for example, feelings of pressure and tension) than on cognition (for example feelings of satisfaction). Limited existing evidence is consistent with these ideals.     

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.