A profit-maximization location-capacity model for designing a service system with risk of service interruptions

This paper considers the design of an immobile service system in which each facility’s service process is subject to the risk of interruptions. The location-capacity decisions and allocations are simultaneously made to maximize the difference between the service provider’s profit and the sum of customers’ transportation and waiting costs. An efficient Lagrangian-based solution algorithm is developed, which solves large-sized instances with up to 50 service facilities and 500 customers in a few seconds. Several sensitivity analyses and managerial insights are presented. The model is also applied to a case study on a logistics network design problem in the zinc mining industry.     

Destination competitiveness: what we know,what we know but shouldn't and what we don't know but should

Two decades after the seminal work of Crouch and Ritchie [(1999). Tourism, competitiveness, and societal prosperity. Journal of Business Research, 44(3), 137–152], which triggered an avalanche of research on the topic, there is an extensive and still-growing body of literature on destination competiveness. Research on competitiveness, in the context of tourism destinations and even in its parent field of economics, has been characterized by controversy and strong criticism. Given the complexity of the phenomenon, the multiplicity of perspectives taken on it and the current stage of knowledge, there is a clear need for a reflective audit that enables a careful consideration on the knowledge acquired with past research as well as a well-thought-out identification of the needs for future research. Only such meticulous process will ensure the progress of this field of enquiry. The wide-spread acknowledgement of the importance of competitiveness for a destination's long-term success in addition to the constant comments that it is still a topic not well understood, suggests that research on it still has a long future ahead. This article embraces this challenging task by documenting, examining and critically assessing the existing literature on three dimensions: definitions, theoretical models and measurement. In addition, existing gaps are identified and research propositions are presented to guide future research.     

空中乘务专业认同测量模型及其实证研究

综合采用文献分析与深度访谈，提出了空中乘务专业认同四维度测量模型，它包括：专业教学、专业前景、专业意识及专业发展。开发并验证了用于测量空中乘务专业认同的量表。实证结果表明：开发的量表具有良好的信效度。对开展空中乘务专业认同优化管理提供参考依据。     

基于物联网的无人值守远程计量系统的设计与实现

针对厂矿计量系统的计量节点多,计量操作繁杂,人力成本较高,而且工作环境差,难于防范计量过程的作弊行为等诸多弊端,提出一种基于物联网的无人值守远程计量管理系统的设计.设计方案在充分利用已有硬件资源的基础上,通过RFID射频技术自动识别车牌、红外压边智能检测和视频监控技术等,对数据进行综合分析与管理,达到远程计量无人值守的目的.不但能使计量的数据信息及时准确,还能有效防止计量过程的作弊行为,进而实现优化企业资源配置,降低生产运营成本,提高管理效率,提升企业的市场竞争力.     

人力资源价值链管理研究综述

价值链管理的思想已深入现代企业管理.作为价值链支持性活动的人力资源管理,在人才竞争激烈的当代,扮演着越来越重要的角色.国内外学者从人力资源价值计量、人力资源价值链模型、人力资源价值传递路径、人力资源价值链环节以及人力资源价值管理等方面,对人力资源价值链管理进行了系统的研究.     

后金融危机时代会计计量

此次百年不遇的金融危机充分暴露了现行会计公允价值计量的弊端。要使会计计量准确合理、会计信息可靠有效，必须解决资产、负债价值计量、会计计量模式选择、净资产与所有者权益关系、负债价值变动对利润的影响以及会计等式形成等问题．     

The Taylor Rule and “Opportunistic” Monetary Policy

We investigate the possibility that the Taylor rule should be formulated as a threshold process such that the Federal Reserve acts more aggressively in some circumstances than in others. It seems reasonable that the Federal Reserve would act more aggressively when inflation is high than when it is low. Similarly, it might be expected that the Federal Reserve responds more to a negative than a positive output gap. Although these specifications receive some empirical support, we find that a modified threshold model that is consistent with “opportunistic” monetary policy makes significant progress toward explaining Federal Reserve behavior.     

Building internal business scenarios based on real data from a performance measurement system

This paper presents a new methodology to build internal business scenarios from the data gathered by some key performance indicators (KPIs) defined within a performance measurement system. The application of the principal components analysis technique leads to the identification of latent relationships between KPIs that underlies some important business aspects. Further, this methodology allows to represent not only the temporal evolution of the organisation as a function of these business aspects but also the definition and determination of internal business scenarios, being therefore the source of meaningful managerial information. At the end of the paper, results of a practical application are presented and discussed, as well as their importance for the organisation from a decision making point of view.     

Small is beautiful: Implications of reliability and statistical power for testing the efficacy of HR interventions

The development of optimal human resource practices is often contingent on the accurate statistical testing of potential interventions. Testing the efficacy of HR interventions can be enhanced by taking additional measures to improve statistical power, but the traditional means of increasing power through sample size are often beyond the cost and ability of HR professionals to pursue. This article, therefore, focuses on measurement procedures as an alternative way to increase statistical power for detecting HR intervention effects. Selection of reliable and appropriate measures and subsequent instrumentation are examined as efficacious and cost‐beneficial techniques that can be employed during the planning and designing stage of a study for augmenting statistical power to optimize business decision making. © 2012 Wiley Periodicals, Inc.     

The usefulness of performance reporting in local government: comparing Italy and Spain

This article presents a comparative analysis of the perceived usefulness of performance information by managers in local authorities in Italy and Spain. Italy and Spain have similar cultural and administrative characteristics and in both countries there are external requirements (from central government) to adopt performance indicators. The adoption of performance indicators was found to be almost symbolic in both states.