语言交际图式对目标管理的启示

著名逻辑学家周礼全先生曾概括陈述了语言交际图式的基本思想,表达了人们在交际过程中意图传递的基本图式。借鉴这个基本图式,可以构建目标管理中目标传达与执行的逻辑图式,这个图式为目标管理中各种保障目标实现的策略提供了基本的逻辑学依据,并为管理策略创新与组织目标的成功实施提供了基本思维图式。     

Conceptual Knowledge Markup Language: An introduction

Conceptual Knowledge Markup Language (CKML) is an application of XML. Earlier versions of CKML followed rather exclusively the philosophy of Conceptual Knowledge Processing (CKP), a principled approach to knowledge representation and data analysis that “advocates methods and instruments of conceptual knowledge processing which support people in their rational thinking, judgment and acting and promote critical discussion”. The new version of CKML continues to follow this approach, but also incorporates various principles, insights and techniques from Information Flow (IF), the logical design of distributed systems. Among other things, this allows diverse communities of discourse to compare their own information structures, as coded in logical theories, with that of other communities that share a common generic ontology. CKML incorporates the CKP ideas of concept lattice and formal context, along with the IF ideas of classification (= formal context), infomorphism, theory, interpretation and local logic. Ontology Markup Language (OML), a subset of CKML that is a self-sufficient markup language in its own right, follows the principles and ideas of Conceptual Graphs (CG). OML is used for structuring the specifications and axiomatics of metadata into ontologies. OML incorporates the CG ideas of concept, conceptual relation, conceptual graph, conceptual context, participants and ontology. The link from OML to CKML is the process of conceptual scaling, which is the interpretive transformation of ontologically structured knowledge to conceptual structured knowledge. This revised version was published online in August 2006 with corrections to the Cover Date.     

Consumer workers as immaterial labour in the converging media markets: three value‐creation practices

This paper takes a practice‐based approach to consumer studies and focuses on the strategic and productive roles that consumers play as immaterial labour or consumer workers in the converging media markets. Based on a case study of a print media organization and its customers, the aim is to discuss the collaborative practices through which value is created in the market. By means of a textual analysis of online and interview data, three value‐creation practices are abstracted and illustrated: constructing a sense of belonging and collective identity, mutual helping and peer support, and building pride and self‐respect. Overall, the paper suggests that in global media environments, consumer‐customers are playing increasingly significant strategic roles in the practices and processes through which value is co‐created in the market. It is therefore concluded that the idea of consumers, and media audiences in particular, as recipients of communication and targets of marketing activities needs to be problematized and the dynamic strategic roles that consumers currently play in the market need to be acknowledged and actively incorporated into the business praxis of media corporations.     

Agility index in the supply chain

To achieve a competitive edge in the rapidly changing business environment, companies must align with suppliers and customers to streamline operations, as well as working together to achieve a level of agility beyond individual companies. Consequently, agile supply chains are the dominant competitive vehicles. Embracing agile supply chain requires asking some important questions, namely: what exactly is agility and how can it be measured? Moreover, how can agility be effectively achieved and enhanced? Due to the ambiguity of agility assessment, most measures are described subjectively using linguistic terms. Thus, this study develops a fuzzy agility index (FAI) based on agility providers using fuzzy logic. The FAI comprises attribute’ ratings and corresponding weights, and is aggregated by a fuzzy weighted average. To illustrate the efficacy of the method, this study also evaluates the supply chain agility of a Taiwanese company. This evaluation demonstrates that the method can provide analysts with more informative and reliable information for decision.     

Development of a Fuzzy optimization model,supporting global warming decision-making

An increasing number of models have been developed to support global warming response policies. The model constructors are facing a lot of uncertainties which limit the evidence of these models. The support of climate policy decision-making is only possible in a semi-quantitative way, as presented by aFuzzy model. The model design is based on an optimization approach, integrated in a bounded risk decision-making framework. Given some regional emission-related and impact-related restrictions, optimal emission paths can be calculated. The focus is not only on carbon dioxide but on other greenhouse gases too. In the paper, the components of the model will be described. Cost coefficients, emission boundaries and impact boundaries are represented asFuzzy parameters. TheFuzzy model will be transformed into a computational one by using an approach of Rommelfanger. In the second part, some problems of applying the model to computations will be discussed. This includes discussions on the data situation and the presentation, as well as interpretation of results of sensitivity analyses. The advantage of theFuzzy approach is that the requirements regarding data precision are not so strong. Hence, the effort for data acquisition can be reduced and computations can be started earlier.     

选本与文学权力意志的外化——试论沈德潜诗歌选本批评的“正典”意识

沈德潜是清代著名的诗人和诗论家,曾选编了多部诗选集,以唐诗为基点,上溯先秦,下探清代,构建了一部比较完整的“诗史”。这部独具风格的诗史,以“温柔敦厚”的诗教立论,重视人品与诗品的合,一,严谨而又通侻认可诗歌创作风格的多样性,包容诗史“正”与“变”的多种样态,相对降低了唐宋诗之争所带来的负面效应。     

能源安全新风险与新逻辑：系统韧性的视角——兼论新逻辑下我国能源安全问题与战略思路

天然气和煤炭价格暴涨是当前全球能源危机的新特点。能源危机这一新特点隐含着能源安全风险来源的变化：气候变化与能源转型取代地缘政治成为影响能源安全更重要和更持久因素,尽管后者仍是影响能源安全的重要因素。本文分析了适应能源安全风险新变化的能源安全的理论“逻辑”转变,即从能源供应安全向能源系统韧性的转变,并基于能源系统韧性的逻辑分析了我国能源系统存在的安全隐患,提出了新逻辑下我国能源安全战略的新思路。     

最优污染水平的数学解析与模式

针对环境经济学中最优污染水平概念模糊的问题，运用几何解析与逻辑推演方法，分析最优污染水平定性模式的病症所在，导出最优污染水平的充分条件和必要条件，并进一步运用导数和微分学理论证明了该充分条件和必要条件的正确性，从而创建了新的最优污染水平的定量模式。     

Affinities between multi-agent systems and service-dominant logic: Interactionist implications for business marketing practice

The contrasting marketing principles of service-dominant (S-D) logic and goods-dominant (G-D) logic are examined in this article from the perspective of current research themes in the information science community. The conclusion is reached that much of the distributed multi-agent literature is complementary to the issues being explored concerning S-D logic, and that some multi-agent research may therefore be pertinent to the business marketing community. This article discusses the modelling approach of interactionism as an underlying principle of both S-D logic and multi-agent systems technology. The two domain technologies are compared, and implications for business marketing practice proposed.     

Fuzzy logic in manufacturing: A review of literature and a specialized application

Manufacturing decisions inherently face uncertainties and imprecision. Fuzzy logic, and tools based on fuzzy logic, allow for the inclusion of uncertainties and imperfect information in decision making models, making them well suited for manufacturing decisions. In this study, we first review the progression in the use of fuzzy tools in tackling different manufacturing issues during the past two decades. We then apply fuzzy linear programming to a less emphasized, but important issue in manufacturing, namely that of product mix prioritization. The proposed algorithm, based on linear programming with fuzzy constraints and integer variables, provides several advantages to existing algorithm as it carries increased ease in understanding, in use, and provides flexibility in its application.