26,752 research outputs found
The importance of information goods abstraction levels for information commerce process models
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
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Defining the business model in the new world of digital business
Recent rapid advances in ICTs, specifically in Internet and mobile technologies, have highlighted the rising importance of the Business Model (BM) in Information Systems (IS). Despite agreement on its importance to an organization’s success, the concept is still fuzzy and vague, and there is no consensus regarding its definition. Furthermore, understanding the BM
domain by identifying its meaning, fundamental pillars, and its relevance to other business concepts is by no means complete. In this paper we aim to provide further clarification by first presenting a classification of definitions found in the IS literature; second, proposing guidelines on which to develop a more comprehensive definition in order to reach consensus;and third, identifying the four main business model concepts and values and their interaction, and thus place the business model within the world of digital business. Based on this discussion, we propose a new definition for the business model that we argue is more appropriate to this new world
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Towards a business model for cellular network and telecommunication operators: a theoretical framework
Cellular networks and telecommunications bring major change to the way businesses are conducted.
Mobility has become one of the main priorities for users and this has impacted on cellular networks and telecommunication operators (CNTOs). However, entrants into the cellular industry have been confounded primarily by inexistent or weak Business Models (BMs). Designing a BM for a CNTO is
complex and requires multiple actors to balance different and often conflicting design requirements. Nevertheless, most research about CNTOs has been technically oriented and has mainly addressed the technological and engineering issues related to their infrastructure. Less attention has been given to
the business model of CNTOs. Hence, there is a need to enhance our ability to determine what
constitutes the optimal and most viable business model to meet the various strategic objectives and
goals for these CNTOs. In this paper an overview of research into the cellular business model and the main issues to be resolved is provided. In particular, the authors propose guidelines as a basis on which to develop a more comprehensive definition which may lead to a consensus. Moreover, a generic model (V4 Model) is proposed for the BM of these companies based on value proposition, value architecture, value network and value finance
A language for information commerce processes
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
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Business Models and their Implications for Skills
The dominant political-economic narrative of our time is that, under conditions of global competition with low-wage economies able to undercut even efficient western firms, the only viable and sustainable route to competitiveness is to trade on high value-added goods and services and that these in turn require enhanced skills and knowledge. This kind of analysis finds echo and sustenance in the management literature concerning 'knowledge'. Drawing upon a series of case studies this monograph reveals a more varied and complex pattern of possibilities
Moving from Data-Constrained to Data-Enabled Research: Experiences and Challenges in Collecting, Validating and Analyzing Large-Scale e-Commerce Data
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?
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
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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