电力市场中发电商市场力的博弈分析

电力市场中市场力的存在不利于电力市场的健康发展,本文从市场力的定义出发,对影响市场力的因素进行了分析,并介绍了博弈论在竞价上网决策和降低市场力方面的应用.     

The contingent value of marketing strategy innovativeness for product development performance in Chinese new technology ventures

This study extends research on entrepreneurial behavior by investigating the relationship between the marketing strategy innovativeness (MSI) and new product performance in technology-based new ventures in China. Specifically, premised on contingent resource-based view we argue that MSI is a firm capability that must be bundled with external managerial relationships and be deployed in the appropriate environment to ensure its success. We found that the team's extra industry relationships and market dynamism enhanced the impact of MSI on new product performance. In contrast, top management team's intraindustry relationships, financial relationships, and technology dynamism hindered the impact of MSI on new product performance.     

地方人大重大事项决定权工作机制探索

党的十八大对坚持和完善人民代表大会制度提出了新的更高要求,十八届三中全会作出的《中共中央关于全面深化改革若干重大问题的决定》,特别明确了人大重大事项决定权。鉴于目前地方人大及其常委会的决定权基本虚置的状况,本文探讨了地方人大重大事项决定权的涵义及工作机制,以期健全人大讨论、决定重大事项制度,推进人民代表大会制度理论和实践创新。     

Balanced scorecard based performance measurement of European airlines using a hybrid multicriteria decision making approach under the fuzzy environment

The purpose of this study is to evaluate the performance of the European airlines, using a balanced scorecard perspective. Within this scope, a hybrid multi-criteria approach was used by combining the Fuzzy DEMATEL, Fuzzy ANP, and MOORA methods. The results demonstrate that customer dimensions and profit per customer are the most significant key factors in the balanced scorecard perspective. Additionally, the airline companies with the largest profit (per employee) and highest number of passengers and flights (per employee) had the best scores in the multidimensional performance results. Furthermore, the airline companies with the highest profitability and efficiency are more successful than other companies. Therefore, we recommend European airlines to focus on these aspects in order to improve their performance. This study makes an important contribution to literature by helping to solve a significant problem in the market with the proposed methodology.     

英国技术前瞻研究工作全景

英国的技术前瞻研究工作发源于1994年的技术预测计划,现已成为英国政府的一项常规工作。英国技术前瞻研究组挂靠在商业、创新和技能部下属的政府科学办公室,有优秀的研究队伍和稳定的经费支持,其开展的项目涉及新兴科学和技术面临的挑战和机遇以及围绕科技能发挥作用的重大社会问题,例如,全球变化、应对肥胖和洪涝灾害等。技术前瞻研究项目的研究报告和提出的有关建议,不仅对英国政府制定政策提供了重要参考,也对国际社会关于一些重大问题的判断和应对措施产生了较大影响。通过对英国技术前瞻研究工作的由来、已经完成和正在开展的项目、核心研究团队、项目的遴选标准和特点等进行系统介绍,并以案例的形式阐述了其前瞻研究项目对政府部门的影响,旨在为我国开展相关工作提供参考借鉴。     

A weighted max-min model for fuzzy multi-objective supplier selection in a supply chain

Supplier selection is one of the most important activities of purchasing departments. This importance is increased even more by new strategies in a supply chain. Supplier selection is a multi-criteria decision making problem in which criteria have different relative importance. In practice, for supplier selection problems, many input information are not known precisely. The fuzzy set theories can be employed due to the presence of vagueness and imprecision of information. A weighted max-min fuzzy model is developed to handle effectively the vagueness of input data and different weights of criteria in this problem. Due to this model, the achievement level of objective functions matches the relative importance of the objective functions. In this paper, an analytic hierarchy process (AHP) is used to determine the weights of criteria. The proposed model can help the decision maker (DM) to find out the appropriate order to each supplier, and allows the purchasing manager(s) to manage supply chain performance on cost, quality and service. The model is explained by an illustrative example.     

Tradespace exploration of in-space communications network architectures

Making architectural decisions in long lifecycle systems is challenging because the time between system definition and end of operations can span multiple decades, resulting in shifts in stakeholder needs and major advances in technologies. Space-based communications using relay satellite constellations is one such example, requiring substantial up-front planning to define capabilities and size capacity due to the large investment of time and resources. Additionally, there are numerous viable system architectures. In this paper, we build on existing methods to develop a graph-based decision method to assess and explore architectural flexibility in the future evolution of long lifecycle systems. The tradespace graph defines edges between similar architectures, quantifies the switching cost between architectures, using graphs to analyse the potential system evolution pathways. In a test case on NASA communication satellites, we find that hosting government communications payloads, in particular optical payloads, on commercial satellites could reduce cost and increase flexibility of the NASA network.     

Why do firms delete brands? Insights from a qualitative study

Large consumer goods firms manage and market an assortment of brands and consistently deal with strategic challenges related to brand portfolio management, such as creating or acquiring brands, growing brand equity, managing brands in the portfolio and deleting brands. There is substantial research on several areas of brand portfolio management except in the area of brand deletion. This situation exists despite the fact that deleting weak brands has important implications for a firm and its brand portfolio. Therefore, it is critical to understand why firms delete brands from their portfolios. This research applies a qualitative approach using semi-structured interviews and thematic analysis in the context of firms that adopt a ‘house of brands’ brand architecture and presents findings guided by the strategic decision-making literature.     

Pareto efficient allocation of an in-motion wireless charging infrastructure for electric vehicles in a multipath network

Electric vehicles (EV) use an eco-friendly technology that limits the greenhouse gas emissions of the transport sector, but the limited battery capacity and the density of the battery are the major barriers to the widespread adoption of EV. To mitigate this, a good method seems to be the innovative wireless charging technology called ‘On-Line EV (OLEV)’, which is a contactless electric power transfer technology. This EV technology has the potential to charge the vehicle’s battery dynamically while the vehicle is in motion. This system helps to reduce not only the size of the battery but also its cost, and it also contributes to extending the driving range before the EV has to stop. The high cost of this technology requires an optimal location of the infrastructure along the route. For this reason, the objective of this paper is to study the problem of the location of the wireless charging infrastructure in a transport network composed of multiple routes between the origin and the destination. To find a strategic solution to this problem, we first and foremost propose a nonlinear integer programming solution to reach a compromise between the cost of the battery, which is related to its capacity, and the cost of installing the power transmitters, while maintaining the quality of the vehicle’s routing. Second, we adapt the multi-objective particle swarm optimization (MPSO) approach to our problem, as the particles were robust in solving nonlinear optimization problems. Since we have a multi-objective problem with two binary variables, we combine the binary and discrete versions of the particle swarm optimization approach with the multi-objective one. The port of Le Havre is presented as a case study to illustrate the proposed methodology. The results are analyzed and discussed in order to point out the efficiency of our resolution method.     

Teaching teenagers in finance: Does it work?

Many initiatives worldwide aim at improving financial literacy through targeted education programs, yet there is little evidence regarding their effectiveness. We examine the impact of a short financial education program on teenagers in German high schools. Our findings reveal that the training program significantly increases teenagers’ interest in financial matters and their financial knowledge, especially their ability to properly assess the riskiness of assets. Behaviorally, we observe a decrease in the prevalence of self-reported impulse purchases, but at the same time find no evidence of a significant increase in savings.