A theory of innovation for process-based innovations such as nanotechnology

Many see Nanotechnology as the technology that will underlie the next Schumpeterian wave creating new opportunities for wealth and job creation. Further it is a process based or materials technology. Yet all currently used models of innovation are based on assembled products or service products and these simply do not recognize the differences in materials products nor the “enabling” nature of Nanotechnologies. If nanotechnology is poised to become the economic engine of this millennium and if current models of innovation, which are utilized, by policy makers and firm based strategist alike are based on technology product paradigms that are dissimilar to the realities of nanotechnology and other process-based technologies then there is cause for concern.Here the authors provide a model and supporting cases demonstrating a new process or materials based innovation model that is based on the tight coupling between product and process innovation of not only Nanotechnology-based products but other process-based products. This is an important finding, because it identifies and remedies a gap in the literature associated with earlier process and product innovation models. For process-based products like materials, food, chemicals and nanotechnologies any change to the manufacturing processes results in significant changes in end product features. The implications of this model to practice are considered.     

Regulating B2B online reverse auctions through voluntary codes of conduct

In response to real and perceived abuse by market makers, buyers, and sellers, some industry trade groups representing suppliers have developed voluntary codes of conduct, white papers, and other forms of guidance for online reverse auction participants. The intent of these guidelines is to improve both the reverse auction process and relationships between buyers and sellers. This paper examines the rationale for creating guidelines and codes of conduct, and examines their efficacy in regulating reverse auctions to achieve improved outcomes for market makers, buyers, and sellers. Data from primary and related secondary sources indicate that industry-specific codes of conduct and guidelines have not had a favorable impact.     

Optimal new-product pricing in regulated industries

Intertemporal pricing issues faced by regulated monopolists in market settings characterized by high rates of innovation have received little attention in the regulatory economics literature. Most analyses of regulatory pricing have focused on monopolies characterized by a stable multiple-good product set. In a regulated industry characterized by technological change in the form of new products and services (such as telecommunications), optimal pricing decisions may also reflect intertemporal market and production factors. In this paper, two such intertemporal factors are modeled: learning curve effects on the firm's cost function, and customer demonstration effects on the demand side of the market. Inclusion of these factors leads to an intertemporal pricing rule that may conflict with the standard regulatory practice whereby each product or service must recoup its own resource costs period by period. Our results suggest that this regulatory practice can result in efficiency losses, since it results in a rate of technological diffusion that is too low.     

Group decision-making: Head-count versus intensity of preference

This paper puts forth a framework for reshaping the group decision-making process. The proposed framework extends from the usual one-issue-at-a-time decision-making to one that involves several related issues simultaneously. Weaknesses of the traditional majority voting mechanism are first identified, and then a different voting method that takes each individual voter's sentiment into account is discussed. Specifically, a decision-maker is asked to express his/her intensity of preference for the issues encountered. Three hierarchical structures—benefits, costs, and risks—are developed to evaluate the alternatives. Due to the nature of pairwise comparisons and synthesis, the proposed method is amenable to consensus building and has higher reliability and consistency. It can be used for candidate selection, e.g. governmental election, when a large population is involved. It is also effective for resource allocation and prioritization when a small group or business is concerned. We believe the proposed approach has potential for resolving deficiencies of the conventional voting mechanism, and can be applied to many real-world problems. Its implementation on the Internet is also discussed.     

Implications of variant efficiency measures for policy evaluations in UK higher education

Policy goals in UK higher education encourage the publicly funded universities to become more-specialised and larger in size without compromising output quality. Efficiency gains are expected to flow from this increased specialisation in accordance with universities’ comparative research and teaching strengths. Mergers to reap further gains from economies of scale are also being actively encouraged. Given this scenario, the paper investigates whether best-practice efficiency measurement based on data envelopment analysis (DEA) provides empirical support for the current policy goals. It also assesses whether such support is dependent on the specific type of efficiency measure used in the DEA modelling. This assessment finds that a selection of (nine) commonly used, variant efficiency measures generally support the current policy goals. The paper also uses the principal-agent framework to explore the issues involved in using computed DEA-based efficiency scores for policy evaluations and possible funding guidance in UK higher education. This highlights empirically how policy-makers and universities can have very different preferences about which efficiency measure is to be used for policy evaluations and possible funding guidance.     

The welfare effects of import “subquotas” on heterogeneous product categories

In spite of its importance to policy makers, surprisingly little attention has been paid to the welfare effects of one aspect of trade policy-how to implement an import quota that applies to a heterogeneous product category. The government can impose a simple quota that applies indiscriminately to all goods within the product category or it can divide the quota among them with subquotas. In this paper, we analyze the welfare effects of subquotas. Under certain simplifying assumptions we find that a system of subquotas nearly always exists that provides greater welfare than a simple quota for a large country that retains quota rights or for a large or small country that gives quota rights away to foreigners. However, subquotas cannot increase the welfare of a small country that retains quota rights. The difference lies in the effect of imports on the home country's terms of trade.The views expressed in this paper are those of the authors and do not necessarily reflect the opinion of the US International Trade Commission. The authors are grateful for helpful comments on an earlier draft by anonymous referees.     

遗传算法及其在客户关系管理中的应用研究

遗传算法是一种宏观意义下的仿生优化算法，它模拟生物在自然环境中的遗传和进化过程而形成的一种自适应全局优化概率搜索算法。这种算法可以用于对海量的客户信息进行搜索，提取对决策有用的信息，让企业在激烈的市场竞争中处于有利地位，最终达到最高利润。本文还通过一个简单的实例研究将该算法应用在客户关系管理中。     

A substitution orbit model of competitive innovations

Successful innovation and diffusion of technology can be attributed to the identification of the orbit of emerging new technologies that complement or substitute for existing technologies. This dynamism resembles the co-evolution process in an ecosystem. In an ecosystem, in order to maintain sustainable development, the complex interplay between competition and cooperation, typically observed in predator-prey systems, create a sophisticated balance. Given that an ecosystem can be used as a masterpiece system, this sophisticated balance can provide suggestive ideas for identifying an optimal orbit of competitive innovations with complement or substitution dynamism.Prompted by such a sophisticated balance in an ecosystem, this paper analyzes the optimal orbit of competitive innovations and, on the basis of an application of Lotka-Volterra equations, it reviews substitution orbits of Japan's monochrome to color TV system, fixed telephones to cellular telephones, cellular telephones to mobile Internet access service, and analog to digital TV broadcasting. On the basis of substitution orbits analyses, it attempts to extract suggestions supportive to identifying an optimal policy option in a complex orbit leading to expected orbit.Key findings include policy options that are effective in controlling parameters for Lotka-Volterra equations leading to expected orbit.     

A model of public sector wage determination

The paper presents an empirical model of wage determination in the public sector that leads to the specification of a system of interrelated wage equations for municipal employees, which allows for occupational and geographic interdependence of wages. The model also considers the influence of public employee unions, municipal government form, and monopsony power of local governments on the wages of municipal employees. Several variants of the derived system of equations are estimated based upon 1967 cross-section data for 478 cities, and the policy implications of the results are discussed.