The Discounted Economic Stock of Money with VAR Forecasting

We measure the economic capital stock of money implied by the Divisia monetary aggregate service flow, in a manner consistent with asset pricing theory. Based on Barnett’s (Monetary policy on the 75th anniversary of the Federal Reserve System, pp. 232–244, Kluwer, Boston, 1991) definition of the economic stock of money, we estimate the expected discounted flow of expenditure on the services of monetary assets, where expenditure on monetary services is evaluated at the user costs of the monetary components. We use forecasts based on martingale expectations, asymmetric vector autoregressive expectations, and the Bayesian vector autoregressive expectations. We find the resulting capital-stock index to be surprisingly robust to the modeling of expectations.     

新产品开发中创新社区客户知识管理研究

定义了创新社区,描述了创新社区中知识获取和知识创新的过程。结合网络环境下新产品开发中客户知识管理特征,以小米科技MIUI的开发过程为案例,总结归纳了新产品开发中创新社区客户知识管理方法,并详细阐述了具体的应用流程和实施方法。     

企业开放式创新社区在线用户贡献度研究

企业开放式创新社区是一种基于Internet的虚拟创新平台,能为企业创新提供丰富的用户生成内容UGC。为了帮助企业有效管理社区用户及其UGC,首先基于开放式创新理论,以星巴克的开放式创新社区为例,通过4个用户行为衡量指标（Ideas_submitted、Ideas_points、Comments_submitted和Comments_received）对用户样本进行聚类分析。然后,从用户对企业创新的贡献度和对社区互动的贡献度两个维度分析具有不同行为特征的在线用户对企业的贡献,进而得出6种不同类型的用户角色,以期在丰富理论研究的同时指导企业开放式创新社区的用户管理实践。     

Users of the world, unite! The challenges and opportunities of Social Media

The concept of Social Media is top of the agenda for many business executives today. Decision makers, as well as consultants, try to identify ways in which firms can make profitable use of applications such as Wikipedia, YouTube, Facebook, Second Life, and Twitter. Yet despite this interest, there seems to be very limited understanding of what the term “Social Media” exactly means; this article intends to provide some clarification. We begin by describing the concept of Social Media, and discuss how it differs from related concepts such as Web 2.0 and User Generated Content. Based on this definition, we then provide a classification of Social Media which groups applications currently subsumed under the generalized term into more specific categories by characteristic: collaborative projects, blogs, content communities, social networking sites, virtual game worlds, and virtual social worlds. Finally, we present 10 pieces of advice for companies which decide to utilize Social Media.     

群智创新社区用户创新能力分析

群智创新社区是信息化条件下一种新的创新载体和媒介,可以为企业开展产品研发活动提供大量创新创意。为了更好地管理群智创新社区和用户,选取Local Motors社区作为研究对象,通过对不同用户行为进行数据采集与分析,运用聚类分析,从用户创新能力的角度,对不同创新能力的用户进行识别和划分,得出4种不同创新能力的用户类型,并对每种类型的用户进行了社区影响作用分析。科研成果既可丰富相关理论研究,也可为社区管理者提供实践方略与运营建议,有效提升社区管理水平与创新效率。     

Why is my sales force automation system failing?

Sales force automation (SFA) is the use of software to automate sales tasks, including sales activities, order processing, customer management, sales forecasting and analysis, sales force management, and information sharing. An SFA system is often part of an enterprise-wide information system that connects and integrates sales activities with the organization's other operations. Therefore, SFA software is not only a tool critical to the success of today's sales force, but is also vital to the entire organization. SFA has the potential to empower companies to more efficiently manage their sales force and sales processes, to automate and standardize sales activities, and to connect the sales force with the rest of the organization. The value of these potential benefits in terms of lower costs or increased revenues has encouraged businesses to adopt SFA. Once adopted, however, SFA systems often fail to deliver anticipated benefits. The leading cause of SFA failures has been revealed as low user acceptance, which can be attributed to such factors as the disruption of established sales routines, sales force perception of the system as a micromanagement tool, differences in sales force and managerial expectations for the system, and lack of managerial support for the system as perceived by the sales force. Given these circumstances, managers who are aware of the major issues surrounding user acceptance of SFA will be more successful in implementing such systems. This article explores the utilization of SFA, the benefits derived from these systems, and user acceptance issues. Herein, we offer suggestions that will help organizations succeed in adopting SFA systems.     

Heuristic algorithms for a second-best congestion pricing problem

Designing a congestion pricing scheme involves a number of complex decisions. Focusing on the quantitative parts of a congestion pricing system with link tolls, the problem involves finding the number of toll links, the link toll locations and their corresponding toll level and schedule. In this paper, we develop and evaluate methods for finding the most efficient design for a congestion pricing scheme in a road network model with elastic demand. The design efficiency is measured by the net social surplus, which is computed as the difference between the social surplus and the collection costs (i.e. setup and operational costs) of the congestion pricing system. The problem of finding such a scheme is stated as a combinatorial bi-level optimization problem. At the upper level, we maximize the net social surplus and at the lower level we solve a user equilibrium problem with elastic demand, given the toll locations and toll levels, to simulate the user response. We modify a known heuristic procedure for finding the optimal locations and toll levels given a fixed number of tolls to locate, to find the optimal number of toll facilities as well. A new heuristic procedure, based on repeated solutions of a continuous approximation of the combinatorial problem is also presented. Numerical results for two small test networks are presented. Both methods perform satisfactorily on the two networks. Comparing the two methods, we find that the continuous approximation procedure is the one which shows the best results.     

Development of methodology for classification of user experience (UX) in online customer review

In e-commerce, customer feedback has become an essential source of insight into a product or service's user experience (UX). The study of UX helps to integrate customers' potential needs into the product's design. Because customer reviews in e-commerce are not structured and categorized, it is necessary to analyze UX based on customer opinions systematically. This study tries to structure UX in a product's positive/negative context through a neural network-based self-organizing map (SOM). As a result of analyzing 10,482 reviews on wireless earbuds in BestBuy, an electronic product e-commerce platform, it was confirmed that it is a suitable method for categorizing user experiences between reviews and deriving important factors. In particular, the difference in core UX elements by positive/negative context of the product was verified based on the star rating. The results of this study are expected to contribute to product improvement and business improvement that reflect customer needs by companies or designers who design products for end-users.     

Tuition fees: User prices and private incentives

This paper studies the aggregate and distributional implications of introducing tuition fees for public education services into a tax system with income and consumption taxes. The setup is a neoclassical growth model where agents differ in capital holdings. We show that the introduction of tuition fees (a) improves individual incentives to work and/or save and (b) can be both efficient and equitable. The focus is on the role of tuition fees as an extra price and how this affects private incentives.     

Green infrastructure planning: Unveiling meaningful spaces through Foursquare users’ preferences

The design of efficient Green Infrastructure —GI— systems is a key issue to achieve sustainable development city planning goals in the twenty-first century. This study’s main contribution is the identification of potential GI elements to better align the environmental, social and economic perspectives in the GI design by including information about the use, activities, preferences and presence of people. To achieve this, user generated content from Location Based Social Network —LBSN— Foursquare is used as a complementary data source. This involved the construction of an interdisciplinary correlation framework, between the Landscape Ecology principles and the GI elements, that included the classification of Foursquare data into grouping types. The classification considered the potential role of Foursquare venues in the GI network. Valencia City in Spain served as an illustrative case study to test the validity of the proposed method. The results suggest that Foursquare can provide a valuable insight on user perceptions of potential GI elements. Moreover, the findings indicate that user generated content from LBSNs like Foursquare can serve as a complementary tool for analysing the dynamics of urban outdoor spaces to assess GI network, thereby facilitating more effective urban planning and contributing to the social sustainability of the city.