A strategic-tactical model for the supply chain design in the delocalization context: Mathematical formulation and a case study

In this paper, we propose a mathematical model for the design of supply chains in the delocalization context. Our main objective is to develop a strategic-tactical supply chain design model that integrates all the relevant components that characterize the delocalization problem. We adopt the activity based approach to model the problem and we focus on the logistic decisions of activity location, technology choice, supplier selection, etc., and the financial decisions of transfer pricing, transportation costs allocation, etc. The mathematical formulation is illustrated by a case study from the automotive sector. A comparison between the model solution and the real decisions is used to prove the applicability and the utility of the proposed model.     

建筑产品动态信息模型的构建方法

为提高建筑业信息管理水平和建设项目信息的共享及使用效率,总结了建筑信息分类、表达原则,提出了基于功能、行为、结构、环境、性能和人等影响因素为核心要素的建筑产品动态信息模型。根据建筑业对信息模型的需求,确定以面向对象为基础,采用基于多层建模、层连接对象和公共特征抽象等方法支持信息模型的开发。     

CALIBRATION OF CES FUNCTIONS FOR REAL-WORLD MULTISECTORAL MODELING

We show how to calibrate CES production and utility functions when indirect taxation affecting inputs and consumption is present. These calibrated functions can then be used in computable general equilibrium models. Taxation modifies the standard calibration procedures since any taxed good has two associated prices and a choice of reference value units has to be made. We also provide an example of computer code to solve the calibration of CES utilities under two alternate normalizations.     

Spatio-temporal spectrum modeling: Taxonomy and economic evaluation of context acquisition

Much of the research in dynamic spectrum access (DSA) has focused on opportunistic access in the temporal domain. While this has been quite useful in establishing the technical feasibility of DSA systems, it has missed large sections of the overall DSA problem space. This paper argues that the spatio-temporal operating context of specific environments matters to the selection of the appropriate technology for learning context information. It identifies twelve potential operating environments and compares four context awareness approaches (on-board sensing, databases, sensor network, and cooperative sharing) for these environments. In order for operators, regulators, and users to be interested in deploying DSA based networks, the expected costs should be in proportion to what the users are realistically willing to pay for services. Consequently, it is important to conduct cost analysis for different DSA approaches in parallel with the technical research. Regulators and major stakeholders should pay attention to the operating environment of DSA systems when determining which approaches to context learning to encourage.     

基于解释结构模型的民营第三方物流企业成功因素研究

文章以浙江民营第三方物流企业为样本,实证分析了民营第三方物流企业的成功因素.研究发现:领导者、企业制度、组织职能、战略规划、核心竞争力、人才团队、客户服务、内部整合是影响企业成功的八项因素.文章认为,民营第三方物流企业的领导者在扮演家长型领导角色时,应调动下属的积极性与创造性,注重人才战略,提高企业信息化程度及信息化管理水平,为客户提供及时、准确、可靠和多样化的物流服务.     

质子交换膜燃料电池数学建模进展

对质子交换膜燃料电池(PEMFC)的数学建模进行了简要综述,根据这些数学模型建模的方法及特点将其分为经验模型和理论模型,分析了一些较为典型模型的特点及不足,最后提出PEMFC数学建模的重点和今后工作的方向。     

Establishment of Strategic Quality Management Performance Measurement Model ＂SQM-PMM＂： Key to successful implementation of Science TQM

The Strategic Quality Management--Performance Measurement Model （SQM-PMM） was established to enhance the key elements of successful Science TQM, a new quality management principle proposed by the author. The validity of SQM-PMM as a measurement methodology to ensure future management results through strategic quality management was verified.     

Knowledge-oriented leadership and open innovation: Role of knowledge management capability in France-based multinationals

This paper discusses the links between knowledge-oriented leadership, open innovation and knowledge management in the international business context. Open innovation has become crucial for an increasing number of multinational enterprises (MNEs) to gain and maintain competitive advantage and become a market leader. Despite the recent proliferation of papers dealing with open innovation practices of MNEs, there is limited work investigating the role of knowledge management (KM) capability on the relationship between knowledge-oriented leadership and open innovation. Given MNEs’ growing interest in open innovation, the lack of research on knowledge-oriented leadership and KM capability in the open innovation context is a significant research gap in our knowledge. In response, we conducted a study on the mediating role of KM capability in the linkage between knowledge-oriented leadership and open innovation (inbound and outbound), using data collected from 172 subsidiaries of MNEs based in France. A structural equation modelling approach is employed to study the impact of the latent variables associated with knowledge-oriented leadership and KM capability on open innovation. The results indicate that higher levels of knowledge-oriented leadership can lead to enhanced KM capability and improved open innovation outcomes. That is, knowledge-oriented leadership has a direct, positive impact on KM capability and open innovation. Also, KM capability is found to mediate the linkage between knowledge-oriented leadership and open innovation. This study provides useful insights for managers who wish to enhance open innovation activities in MNEs, and offers useful guidance to international business scholars, encouraging further research in this area.     

Where Did They Go Wrong? An Analysis of the Failure of Knowledgeable Internet Consumers to Detect Deception Over the Internet

This paper uses an information-processing model of deception detection to understand the reasons underlying Internet consumers' success and failure at detecting forms of intentional deception that occur on the Internet. Eighty MBA students visited either a real commercial site or a deceptive copycat (page-jacking) site. The deceptive site was identical to the clean site except that it contained six deceptive manipulations (e.g., forged favorable quotes from authoritative sources). This study compares the information processing behavior of four groups of subjects: those who detected the deception, those who missed it, those who correctly identified the real site as non-deceptive, and those who incorrectly believed that the real site was deceptive. It was found that (1) priming subjects to generate the hypothesis of deception weakly facilitates detection success, (2) competence at evaluating the hypothesis of deception is a strong differentiator between successful and unsuccessful detectors, and (3) successful detectors rely on assurance cues and heavily discount trust cues. Unsuccessful detectors do the opposite.     

The effects of management inertia on the supply chain performance of produce-to-stock firms

This article examines the impact of inertia on the management of the firm's supply chain operations and the effects it can have on a produce-to-stock firm's ability to respond to external market pressure and develop corrective strategies. The research methodology used is based on earlier Catastrophe Modeling that looked at inertia in organizational design, competitive pressure, and competitive response. The model demonstrates how latent variables, such as customer pressure and supply chain inertia can influence a finished goods supply chain management's response under various conditions. The model was tested and validated using questionnaire data gathered from a sample of members of the Council of Logistics Management. The model was used to estimate individual finished goods firm inertia response estimates. We incorporate these estimates in a brief examination of three produce-to-stock firms from the sample to give readers an idea of the usefulness of the approach in examining supply chain inertia.