26,752 research outputs found

    The importance of information goods abstraction levels for information commerce process models

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    A process model, in the context of e-commerce, is an organized set of activities for the creation, (re-)production, trade and delivery of goods. Electronic commerce studies have created important process models for the trade of physical goods via Internet. These models are not easily suitable for the trade of information goods. Lowly codified information goods are hard to represent unambiguously among trading partners, their property rights are hard to secure, and the determination of volume and price is difficult. Highly codified information goods are easier traded by markets but have varying levels of abstraction that have specific requirements for their process models. This article defines process model requirements for more codified information goods. These requirements have substantial consequences for the realization of information goods business models

    A language for information commerce processes

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    Automatizing information commerce requires languages to represent the typical information commerce processes. Existing languages and standards cover either only very specific types of business models or are too general to capture in a concise way the specific properties of information commerce processes. We introduce a language that is specifically designed for information commerce. It can be directly used for the implementation of the processes and communication required in information commerce. It allows to cover existing business models that are known either from standard proposals or existing information commerce applications on the Internet. The language has a concise logical semantics. In this paper we present the language concepts and an implementation architecture

    Moving from Data-Constrained to Data-Enabled Research: Experiences and Challenges in Collecting, Validating and Analyzing Large-Scale e-Commerce Data

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    Widespread e-commerce activity on the Internet has led to new opportunities to collect vast amounts of micro-level market and nonmarket data. In this paper we share our experiences in collecting, validating, storing and analyzing large Internet-based data sets in the area of online auctions, music file sharing and online retailer pricing. We demonstrate how such data can advance knowledge by facilitating sharper and more extensive tests of existing theories and by offering observational underpinnings for the development of new theories. Just as experimental economics pushed the frontiers of economic thought by enabling the testing of numerous theories of economic behavior in the environment of a controlled laboratory, we believe that observing, often over extended periods of time, real-world agents participating in market and nonmarket activity on the Internet can lead us to develop and test a variety of new theories. Internet data gathering is not controlled experimentation. We cannot randomly assign participants to treatments or determine event orderings. Internet data gathering does offer potentially large data sets with repeated observation of individual choices and action. In addition, the automated data collection holds promise for greatly reduced cost per observation. Our methods rely on technological advances in automated data collection agents. Significant challenges remain in developing appropriate sampling techniques integrating data from heterogeneous sources in a variety of formats, constructing generalizable processes and understanding legal constraints. Despite these challenges, the early evidence from those who have harvested and analyzed large amounts of e-commerce data points toward a significant leap in our ability to understand the functioning of electronic commerce.Comment: Published at http://dx.doi.org/10.1214/088342306000000231 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

    Where did the ?new urban economics? go?

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    The notion of the ?New Urban Economics? emerged in the late 1960s as more rigorous approaches were applied to what had largely hitherto been an essentially descriptive approach to analyzing urban economies. The application of mathematical methods to urban problems offered the prospect of both a more thorough understanding of how urban economic systems function and a basis upon which frameworks could be developed for quantitative testing of alternative ideas. The aim of this paper is to examine the extent to which this new approach has lived up to initial expectations and degree to which modern urban economics has managed to circumvent some of the earlier criticisms raised against it. It also assesses the extent to which the new urban economics has fulfilled its promise of allowing greater quantification of urban parameters as aids to policy making

    State — Region — Branch — Enterprise: System Sustainability Framework of the Russian Economy

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    This paper investigates sustainability factors of the Russian economy as a multi-level, multi-entity and multi-aspect socio-economic system from the system perspective. The economic system sustainability concept is formulated as an ability to maintain preconditions for the development by supporting and effective using of economic system structure. The leading role of the community of economic entities at different levels (including the state as the entity of international relations, regions as the entities of Federation, enterprises as the business entities) in the economic sustainability is demonstrated. The necessity of the economic entity network “extension” by strengthening the sustainability of economic sectors is emphasized. The research into the internal basic system structure of an economic entity and external structure of its immediate surroundings in socio-economic, administrative-and-managerial and market environments using the results of the new economic systems theory contributes the evidence of the similarity of these structures to the conclusion. It is shown that each of the systems includes (together with an entity itself) four systems of different types (object, environment, process and project). The entity’s system environment has the same structure in administrative-and-managerial interlevel interactions. This makes it possible to combine the problem of the entity’s sustainability and the issue of the balanced system structures forming the economic entities’ internal and external environments. The method of calculating the index of such balanced systems is given. Recommendations on the selection of economic policy measures aimed at ensuring system sustainability of the Russian economy in the period of crisis are provided. It is shown that such a policy should be carried out in accordance with the principles of economic entity protection; balanced system of the economic entities’ internal and external environment; economic entities’ corporate solidarity regardless of their level in the management hierarchy.This article is supported by the Russian Science Foundation grant, project No. 14-18-02294
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