人才流动的增智效应对我国酒店业人才开发的启示

人才是酒店资源中最重要的资源,酒店的人才管理兼具投资性大和流动性强的特点,如何进行有效的人才投资、又防止人才过度流失是酒店人力资源开发和管理中的一个重要课题。按照人才流动的增智效应理论,人才的合理流动将带来酒店业的发展;即使显而易见的酒店业之间的人才流失,也会带来酒店人才开发管理中深层次的增智效应,必将有利于提升酒店管理水平和服务质量,并给出积极的应对策略。     

论非专利技术的转让

非专利技术在技术转让中占有越来越重要的地位,其表现形式的多样化、内容的广泛性以及不受时间、空间限制的特点都使其较之专利技术更为有实用价值。非专利技术是以占有人采取保密的形式而形成事实上的独占资产。因而,在技术转让中,合同成为其唯一获得法律保护的途径。本文从非专利技术的产权确定、价格形成的依据以及非专利技术的保密等方面作了论述,说明非专利技术存在的价值以及在转让中应注意的问题。     

技术创新中的不确定性

本文从信息不确定性角度运用数理经济学方法,研究中国技术创新近10年发展的规律。首先构造了一个准三方模型,来探讨技术交易买卖双方关于卖方技术质量和买方企业生产开发能力的相对信息不对称对技术交易成交可能性和卖方期望收益的影响。其次,提出了技术交易隐含价格的概念,对技术市场作供需平衡分析,揭示出技术市场失效为“柠檬市场”的悲观前景。最后,探讨了科技实业创业三部曲,指出在科技实业事业社会发展阶段,国家或主管机构与件技实业的关系可作为一种主从关系问题来研究,其垓心是信号当且仅当有信息才有价值,最优利益分享规则要求充分利用可以获取的受托方行为信息,以解决激励和风险分担的双重要求。     

试论佛山企业境外投资

企业境外投资应该成为佛山市发展外向型经济的战略任务之一。佛山市企业境外投资,具备着所有权、内部化和区位等方面的相对优势。境外投资是佛山市企业占领国外市场、扩大出口的有力手段;可享受国内外双重的优惠政策和待遇;是增加外汇收入、利用外资的新型方式。九十年代,佛山市企业应注重对东南亚国家的直接投资,对国外高科技,新产品、新服务部门和行业的直接投资。     

组织信息资源管理论纲

本文在简要分析现代组织管理环境基本特点的基础上,对社会组织的信息资源管理的功能、原则及其运作等若干问题进行了认真的探讨,以期进一步完善现代组织管理理论。     

项目风险分析与管理

本文在分析比较传统风险分析方法的基础上,提出了一个更为有效的风险分析方法,即“交叉分析-蒙特卡罗模拟”综合模型。并利用此模型对H集团的某技改投资项目进行了案例分析。在此基础上,提出了建立项目风险防范预警系统的风险管理模式。     

Top management departures in cross-border acquisitions: Governance issues in an international context

This study examined top management team departures in U.S. manufacturing firms acquired by a foreign multinational during the six-year period following acquisition. Results indicated that greater cultural distance between the United States and the home country of the foreign multinational, higher levels of international integration in the target industry, and poor preacquisition performance in the U.S. target company were related to greater postacquisition top management departures. These effects were moderated significantly by the foreign acquirer’s international business and U.S. acquisition experience and showed different patterns over the short-term, intermediate-term, and long-term. Implications for future research on top management teams involved in cross-border acquisitions are discussed.     

Improving Risk Management: From Lame Excuses to Principled Practice

The three classic pillars of risk analysis are risk assessment (how big is the risk and how sure can we be?), risk management (what shall we do about it?), and risk communication (what shall we say about it, to whom, when, and how?). We propose two complements as important parts of these three bases: risk attribution (who or what addressable conditions actually caused an accident or loss?) and learning from experience about risk reduction (what works, and how well?). Failures in complex systems usually evoke blame, often with insufficient attention to root causes of failure, including some aspects of the situation, design decisions, or social norms and culture. Focusing on blame, however, can inhibit effective learning, instead eliciting excuses to deflect attention and perceived culpability. Productive understanding of what went wrong, and how to do better, thus requires moving past recrimination and excuses. This article identifies common blame‐shifting “lame excuses” for poor risk management. These generally contribute little to effective improvements and may leave real risks and preventable causes unaddressed. We propose principles from risk and decision sciences and organizational design to improve results. These start with organizational leadership. More specifically, they include: deliberate testing and learning—especially from near‐misses and accident precursors; careful causal analysis of accidents; risk quantification; candid expression of uncertainties about costs and benefits of risk‐reduction options; optimization of tradeoffs between gathering additional information and immediate action; promotion of safety culture; and mindful allocation of people, responsibilities, and resources to reduce risks. We propose that these principles provide sound foundations for improving successful risk management.     

Exploring gaps in the online economic inclusion of persons with disabilities in Korea

ABSTRACT

This paper explores the difference in the online economic activities of people with and without disabilities in Korea. We conducted a multiple regression analysis to investigate the impact of socioeconomic characteristics, internet access, and internet skills on online economic activities. Our sample, based on a 2016 dataset that included 1554 people with disabilities and 6004 people without disabilities, was developed using quota sampling based on gender, age, and residence. We determined that individuals with disabilities were more likely to engage in online economic activities if they had higher levels of education, lived in urban areas, were employed, or had greater internet skills. Individuals without disabilities were more likely to engage in online economic activities if they were women, had higher levels of education, were employed, lived in a two-generation or more household, or had greater internet skills. For both people with and without disabilities, the level of education, employment status, and internet skills positively contribute to online economic activites. We also determined that education level, participation in economic activity, living in a two-generation or more household, and internet skills had a statistically significant influence on online economic activity for people both with and without disabilities. These results highlight the importance of education and internet training for people with disabilities, as well as social support systems that help them learn to use the internet in diverse ways through both formal and informal networks. The study also underscores the importance of information and communications technology that adequately addresses people’s needs.     

Setting tolerance limits for statistical project control using earned value management

Project control has been a research topic since decades that attracts both academics and practitioners. Project control systems indicate the direction of change in preliminary planning variables compared with actual performance. In case their current project performance deviates from the planned performance, a warning is indicated by the system in order to take corrective actions.Earned value management/earned schedule (EVM/ES) systems have played a central role in project control, and provide straightforward key performance metrics that measure the deviations between planned and actual performance in terms of time and cost. In this paper, a new statistical project control procedure sets tolerance limits to improve the discriminative power between progress situations that are either statistically likely or less likely to occur under the project baseline schedule. In this research, the tolerance limits are derived from subjective estimates for the activity durations of the project. Using the existing and commonly known EVM/ES metrics, the resulting project control charts will have an improved ability to trigger actions when variation in a project׳s progress exceeds certain predefined thresholdsA computational experiment has been set up to test the ability of these statistical project control charts to discriminate between variations that are either acceptable or unacceptable in the duration of the individual activities. The computational experiments compare the use of statistical tolerance limits with traditional earned value management thresholds and validate their power to report warning signals when projects tend to deviate significantly from the baseline schedule.