企业形象调查的方法、对象和内容研究

企业形象调查是企业导入CIS的重要前期准备工作。本文着重就企业形象调查的方法、调查的对象、调查的内容进行了详细的阐述。其中调查方法主要介绍了常用的访谈法、问卷法、文献法；调查对象分为企业外部的调查对象和企业内部的调查对象；调查内容包括企业总体形象和企业视觉形象两个方面。     

项目投标决策支持系统研究

据投标的实际流程，从投标的全过程出发，利用预测理论、决策理论、对策理论和计算机技术等开发了项目投标决策支持系统PBDSS，并系统介绍了PBDSS的结构、功能、实现技术和应用。PBDSS可在施工企业投标工作的信息咨询、项目选择、总价制定、报价内部调整及标书生成等方面发挥辅助决策的作用。     

Application of analytical network process for the evaluation of sustainable business practices in an Indian relays manufacturing organization

Sustainable business strategies or technologies determine the market dynamism so as to withstand competitiveness. The evaluation of such strategies is a multi-criteria decision making (MCDM) problem. To deal with such problems, analytical hierarchy process (AHP) and analytical network process (ANP) could be deployed. AHP considers the distribution of goal amongst the elements being compared and judges the element which has the greater influence on the goal. In order to overcome the drawbacks with AHP, ANP could be used which is a holistic approach in which all attributes and alternatives involved are connected in a network system that accepts dependencies. Priorities which are established in ANP are the same way as they are in the AHP using pair wise comparisons and judgments. ANP is the most comprehensive framework for the analysis of societal, governmental and corporate decisions that are available today to the decision-maker. It is a process that allows one to include all the factors and criteria, tangible and intangible that has an effect on making a best decision. The paper reports a research study that is focused on the selection of the best alternative from the perspective of sustainability for an Indian relays manufacturing organization.     

Identification of the to-be-improved product features based on online reviews for product redesign

Acquisition of customer needs usually serves as the basis for the identification of to-be-improved features for the product redesign process. However, the customer's true needs tend to be non-obvious and are difficult to extract from the data source like interviews or market survey. In the era of Big Data, with the advances in e-commerce, the customer's online review has become one of the most important data source to reveal the insight of customer's preference. In this paper, an online-review-based approach is introduced to identify the to-be-improved product features. The product features and corresponding opinions are extracted and reduced based on the semantic similarity. A structured preference model based on the semantic orientation analysis is constructed. A redesign index is subsequently introduced to measure the priority of redesign for each feature, and a target feature selection model is created to identify the to-be-improved features from candidate features considering engineering cost, redesign lead time and technical risk. A case study for smartphones is developed to demonstrate the effectiveness of the developed approach. In the future study, the online reviews may be combined with the traditional survey data to provide a more effective and reliable identification on the to-be-improved product features.     

Patterns of nanotechnology innovation and governance within a metropolitan area

The present study employs a real-time, practice-oriented, and place-based approach to dissect the process of nanotechnology innovation in support of novel governance schemes. The research question is: What are actors specifically doing in the process of nanotechnology innovation in a metropolitan area, and what are enabling and constraining drivers that could be leveraged for novel governance approaches? The study presents results from 45 interviews and a synthesis workshop with actors from academia, industry, government, and the civil society in Phoenix. Results show that actors follow preconceived mental models of innovation with the primary objective to deploy profitable commercial or military products. The dominant network actors are academics, industry, and government funding agencies. The network is divided along product-based sectors with few cross-sector linkages. Considerable governmental support for entrepreneurs and for academic research via the National Nanotechnology Initiative enables nanotechnology innovation in the early stages. Market failures and corporate barriers, however, constrain the value proposition in later phases. There is novelty in the nanotechnology products; yet, little attention is paid to consumer input, adverse effects, or broader public value generation.     

On the use of the hybrid causal logic method in offshore risk analysis

In the Norwegian offshore oil and gas industry risk analyses have been used to provide decision support for more than 20 years. The focus has traditionally been on the planning phase, but during the last years a need for better risk analysis methods for the operational phase has been identified. Such methods should take human and organizational factors into consideration in a more explicit way than the traditional risk analysis methods do. Recently, a framework, called hybrid causal logic (HCL), has been developed based on traditional risk analysis tools combined with Bayesian belief networks (BBNs), using the aviation industry as a case. This paper reviews this framework and discusses its applicability for the offshore industry, and the relationship to existing research projects, such as the barrier and operational risk analysis project (BORA). The paper also addresses specific features of the framework and suggests a new approach for the probability assignment process. This approach simplifies the assignment process considerably without loosing the flexibility that is needed to properly reflect the phenomena being studied.     

Reconciling engineer-to-order uncertainty by supporting front-end decision-making

This paper presents the dynamics of engineer-to-order (ETO) practice through Integration Definition for Function Modelling (IDEF) practice. The paper describes and defines how an ETO manufacturer utilised IDEF-QA in order to manage project uncertainties within the tendering process. The research is conceptualised through an empirical action research approach, involving an active role in the assessment of the ETO process. The paper revisits the use of IDEF, showcasing an assessment of output quality. It also suggests a road map for resource uncertainty within ETO, specifically when scoping the supply chain for ETO projects. The paper then presents an IDEF Quality Assessment model for improving the tendering process of ETO, and it examines the importance of evaluating project behaviour for supporting new future projects. The principal contribution is in how a structured approach provides IDEF with a quality assessment of resources, thereby consolidating and establishing a relationship for highlighting the uncertainties experienced by ETO manufacturers within the decision-making process.     

Improving Internationally Core Competences Based on the Capabilities of Precise and Accurate Project Management

Modern international project management has entered the phase of precise and accurate project management after the global financial crisis broke out at the beginning of the 21^st century. However, its development has faced new challenges since there has been lack of explicitly unanimous definition for the capability dimensions of precise and accurate project management, as well as the models and their process control parameters. The required core capabilities based on the precise and accurate project management for various rings are involved in the project life cycle, namely, the required internationally core competences and their components for the phases of project strategic planning and decision making in the early project phase, as well as the value engineering, and the project supervision and controls during the execution phase. Through studying the effects of the internationally core competences based on precise and accurate project management capabilities for the success and excellence of projects and configuring such models, the goal is to help the main contractors continuously obtain project success and excellence, thus improve its internationally core competences with continuous project success and excellence.     

Desired organisational capabilities (DOCs): mapping in BPR context

This study establishes and examines desired organisational capabilities (DOCs) that affect the readiness and implementation of business process reengineering (BPR). This research uses a case study and review methodology (second hand material) to extract events and actions about how DOCs are caused by these events and actions. Preliminary organisational capabilities were established from a review of BPR projects’ reports. Twenty-one preliminary capabilities were refined and validated through interviews with BPR executives and experts. In this way, this study presented 21 DOCs, with their influence (strength) on the success of BPR initiatives and implementation. Additionally, these DOCs are ranked according to the value of creating each, before and during BPR efforts. So, a graphical aid is provided to enable decision makers to concentrate their efforts on the most influential (strongest), considering before and during implementation. Finally, the refined organisational capabilities formed the basis of a self-assessment framework that can be used by firms to analyse their readiness to undertake a reengineering project.     

Measuring the success of public participation on environmental restoration and waste management activities in the U.S. Department of Energy

The value added by public participation to decision-making in the Office of Environmental Management (EM) in the Department of Energy (DOE) can be enhanced through better organization, improved participation strategies and mechanisms, and integration with other aspects of decision-making (e.g., problem definition, mission development, identification and evaluation of decision alternatives, and decision implementation). The opportunity to improve the value added by public participation, however, is contingent on being able to demonstrate that the resources devoted to such activity is a sensible and worthwhile investment. This article summarizes research conducted to expand those savings and improvements and facilitate other improvements by developing a set of performance-based indicators, based on discrete attributes of successful public involvement, for use in evaluating public participation programs and activities in EM, with special emphasis on activities implemented in the field offices of DOE. The success attributes and indicators were developed through reviews of appropriate research literatures and through intensive interviews with and surveys administered to diverse stakeholders, including DOE project managers and public participation specialists, contractor project managers and public participation specialists, representatives of tribal, state, and local governments, federal and state regulatory authorities, environmental interest groups, and other interested parties, at nine DOE facilities in the United States.     

公司治理视角下基于VPRS的公司经营困境预警

从公司治理的角度,构建了一套比较全面的综合预警指标体系。以2006-2009年首次被ST的160家上市公司及其配对公司作为研究样本,基于变精度粗糙集理论(VPRS),分别构建仅包含财务指标和包含所有指标的上市公司经营困境预警模型。通过理论分析和实证研究发现:健康公司和困境公司在早期的公司治理方面就存在着显著差异,晚期差异逐渐减小;加入公司治理变量后的变精度粗糙集模型的预测精度得到了提高;仅包含财务数据的模型在经营困境的晚期预测精度较高,早期预测效果不佳;对早期预测来说,包含财务指标和公司治理指标等多方面因素的模型更加适合。     

A case study of machinery maintenance protocols and procedures within the UK utilities sector

Failure to conduct periodic fixed-time-to (or scheduled) maintenance on off-highway plant and equipment represents a significant health and safety hazard and major litigation risk for utility contractors completing service excavation and reinstatement works on public highways. Mini-excavators are a ubiquitous mobile plant item used for such tasks and have recently been responsible for several major injuries and fatalities involving workers and members of the public in the United Kingdom (UK). The research utilises the method of triangulation to examine the maintenance practices of utility contractors in the UK. Findings from the research reveal that a combination of prevailing market forces and internal ‘company’ pressures have inadvertently removed knowledgeable and trained operators, site foremen and managerial supervisors from hands-on maintenance inspections. Rather, ‘virtual’ maintenance protocols and procedures are adopted by head office but rarely fully implemented on-site. The research concludes with pragmatic recommendations and direction for future research.     

Contextualisation of the complexity in the selection of developing country outsourcees by developed country outsourcers

Outsourcing research has recognised that selecting the right offshore supplier (outsourcee) in low-cost distant developing countries is complex, but central to outsourcing success. More specifically, the combination of outsourcee contextual internal factors (e.g. capabilities) with outsourced-to country contextual external factors (e.g. political, legal, economic, socio-cultural) as two fundamental and interconnected decisions firms make when outsourcing remains an underexplored research gap. Therefore, through a rigorous three-tier qualitative approach we, firstly, develop a contextual Environmental Separation Index (ESI) decision tool to help outsourcing firms in making more informed decisions when selecting outsourcees and outsourcing locations. Secondly, we operationalise the ESI as intuitive and easy to use decision tool, yet with a provision to deliver a truly context proof outsourcee selection decision. Thirdly, we adopt a complexity theory lens to explain that narrowing the contextual outsourcer–outsourcee gap facilitates a mind-set shift in outsourcing relationships from hierarchies to networks and from controlling to empowering developing country outsourcees. We show from a complexity theory perspective how contextual separation gaps between developed country outsourcers and developing country outsourcees can be an effective way to grasp the evolutionary path of outsourcing relationships.     

Deep Feature Fusion Model for Sentence Semantic Matching

Sentence semantic matching (SSM) is a fundamental research in solving natural language processing tasks such as question answering and machine translation. The latest SSM research benefits from deep learning techniques by incorporating attention mechanism to semantically match given sentences. However, how to fully capture the semantic context without losing significant features for sentence encoding is still a challenge. To address this challenge, we propose a deep feature fusion model and integrate it into the most popular deep learning architecture for sentence matching task. The integrated architecture mainly consists of embedding layer, deep feature fusion layer, matching layer and prediction layer. In addition, we also compare the commonly used loss function, and propose a novel hybrid loss function integrating MSE and cross entropy together, considering confidence interval and threshold setting to preserve the indistinguishable instances in training process. To evaluate our model performance, we experiment on two real world public data sets: LCQMC and Quora. The experiment results demonstrate that our model outperforms the most existing advanced deep learning models for sentence matching, benefited from our enhanced loss function and deep feature fusion model for capturing semantic context.     

Optimising installation (R,Q) policies in distribution networks with stochastic lead times: a comparative analysis of guaranteed- and stochastic service models

This paper studies two modelling approaches to the multi-echelon inventory optimisation problem in a distribution network with stochastic demands and lead times. It compares the performance of a novel guaranteed-service model (GSM), using an installation (R, Q) inventory control policy, with a stochastic service model (SSM) considering ordering, holding and flexibility costs. From both cycle service level and fill rate perspectives, our numerical analysis of the 1-warehouse 2-retailer network shows that cost difference between both models is driven by the internal service level at the warehouse. The GSM outperforms the SSM for over 80% of the simulated instances and realises an average total cost improvement of approximately 10%. This analysis goes against earlier results that showed a relatively low-cost difference between the two approaches, and demonstrates that it is worthwhile to evaluate competing models for multi-echelon inventory optimisation in real-world supply chains with batch ordering and variable lead times.     

A fuzzy-logic-based approach to qualitative safety modelling for marine systems

Safety assessment based on conventional tools (e.g. probability risk assessment (PRA)) may not be well suited for dealing with systems having a high level of uncertainty, particularly in the feasibility and concept design stages of a maritime or offshore system. By contrast, a safety model using fuzzy logic approach employing fuzzy IF–THEN rules can model the qualitative aspects of human knowledge and reasoning processes without employing precise quantitative analyses. A fuzzy-logic-based approach may be more appropriately used to carry out risk analysis in the initial design stages. This provides a tool for working directly with the linguistic terms commonly used in carrying out safety assessment. This research focuses on the development and representation of linguistic variables to model risk levels subjectively. These variables are then quantified using fuzzy sets. In this paper, the development of a safety model using fuzzy logic approach for modelling various design variables for maritime and offshore safety based decision making in the concept design stage is presented. An example is used to illustrate the proposed approach.     

Development of technology and service thinking for technical personnel: Action research at a Japanese monitor maker

The importance of services within technology-based business in terms of customer value is increasingly well-understood by manufacturing companies. Manufacturing companies are trying to restructure their business models by adding the concept of service that is required to make a process of value co-creation with customers. Human resources are a core factor in the implementation of this notion in the practical field. In a technology-based business, technical personnel must have not only technology-oriented thinking but also service-oriented thinking in order to generate new value propositions. In this work, we propose an approach to transform the way of thinking and support knowledge co-creation with others with a focus on new corporate value propositions. We combined a service innovation chart with a business model thinking methodology to create a new approach intended for the development of technology and service thinking within technical personnel. Our objective is to help manufacturing companies create a service climate and clarify the knowledge co-creation process. We conducted action research by introducing our approach to 25 technical personnel employed by a Japanese monitor maker and obtained data including feedback on its usability and the impact on corporate business models. The findings of this study will help personnel to generate technology and service-based innovation concepts, thereby promoting servitization in technology-based companies.     

合同管理是项目管理的核心——小浪底水利枢纽国际合同管理的经验与体会

小浪底水利枢纽是治理黄河的重要控制性工程,它以地质复杂、布置困难、技术要求高、管理难度大而得到我国水利水电行业的普遍关注,尤其是由于其全方位实施国际招标,成为我国水利工程第一个全面与国际接轨的项目。小浪底水利枢纽至今已建成并成功运行10年,发挥了巨大的社会、经济和生态效益。小浪底工程建设中三大国际承包联营体隶属的40多个国家和地区的承包商、分包商,与项目业主之间围绕合同管理,呈现出多方利益主体之间的博弈。小浪底建管局依靠各方支持,在团结全体建设者优质高效地建成小浪底工程的同时,妥善处理纷繁复杂的各种合同纠纷,积累可贵的国际工程合同管理经验。我国正实施"走出去"战略,文章回顾总结小浪底国际合同管理的做法和体会,目的是对国际项目的投资者或承建者提供一些借鉴。     

科学决策是航空发动机研制成功的关键

首先论述了现代管理决策理论对我国航空发动机研制发展的重要意义和科学决策的关键作用,通过崭内外航空新机制归展的成败实例,分析总结在决策与管理上的经验与教训,并进一步阐述了在决策航空发动机的研制发展时,必须从我国实地出发正确处理好几个关系,为了我国航空发动机更好,更快地发菜,当务之急是实施决策科学化和民主化,最后对我国新机制发展科学决策提出了几点建议。     

论产品形象建构中符号的选择、组织和传播

分析了产品形象的定义及对于企业的价值与意义,认为只有进行产品符号的明确选择、和谐组织与有效传播才能建立产品形象,进而讨论了影响符号选择的几种因素和进行符号组织的两大思路原则。在符号的传播过程中提出了几点策略,使产品形象能避免噪音的干扰并最终得以有效建立。最后指出产品形象只有进行不断的创新和延续才能建立良好且持久的产品形象。