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Yves Pigneur - One of the best experts on this subject based on the ideXlab platform.

  • An e-business model ontology for modeling e-business
    15th Bled Electronic Commerce Conference, June 17-19, 2002
    Co-Authors: Alexander Osterwalder, Yves Pigneur
    Abstract:

    After explaining why business executives and academics should consider thinking about a rigorous approach to e-business models, we introduce a new e-Business Model Ontology. Using the concept of business models can help companies understand, communicate and share, change, measure, simulate and learn more about the different aspects of e-business in their firm. The generic e-Business Model Ontology (a rigorous definition of the e-business issues and their interdependencies in a company’s business model), which we outline in this paper is the foundation for the development of various useful tools for e-business management and IS Requirements Engineering. The e-Business Model Ontology is based on an extensive litErature review and describes the logic of a “business system” for creating value in the Internet Era. It is composed of four main pillars, which are Product Innovation, Infrastructure Management, Customer Relationship and Financial Aspects. These elements are then further decomposed. 1.

  • e business model design classification and measurements
    Thunderbird International Business Review, 2002
    Co-Authors: Magali Dubossontorbay, Alexander Osterwalder, Yves Pigneur
    Abstract:

    “Business model” is one of the latest buzzwords in the Internet and electronic business world. This paper has the ambition to give this term a more rigorous content. The objective is threefold. The first one is to propose a theoretical e-business model framework for doing business in the Internet Era. The second one is to propose a multi-dimensional classification-scheme for eBusiness Models, as opposed to the actual tendency in academic litErature to use two-dimensional classifications. The final objective is to define critical success factors, based on a field study in order to find out and compare the performance indicators used by e-business firms which are competing with similar businesses models.

  • an ebusiness model ontology for modeling ebusiness
    Bled eConference, 2002
    Co-Authors: Alexander Osterwalder, Yves Pigneur
    Abstract:

    After explaining why business executives and academics should consider thinking about a rigorous approach to e-business models, we introduce a new e-Business Model Ontology. Using the concept of business models can help companies understand, communicate and share, change, measure, simulate and learn more about the different aspects of e-business in their firm. The generic e-Business Model Ontology (a rigorous definition of the e-business issues and their interdependencies in a company’s business model), which we outline in this paper is the foundation for the development of various useful tools for e-business management and IS Requirements Engineering. The e-Business Model Ontology is based on an extensive litErature review and describes the logic of a “business system” for creating value in the Internet Era. It is composed of four main pillars, which are product innovation, infrastructure management, customer relationship and financials. These elements are then further decomposed. Alexander Osterwalder, Yves Pigneur

Alexander Osterwalder - One of the best experts on this subject based on the ideXlab platform.

  • An e-business model ontology for modeling e-business
    15th Bled Electronic Commerce Conference, June 17-19, 2002
    Co-Authors: Alexander Osterwalder, Yves Pigneur
    Abstract:

    After explaining why business executives and academics should consider thinking about a rigorous approach to e-business models, we introduce a new e-Business Model Ontology. Using the concept of business models can help companies understand, communicate and share, change, measure, simulate and learn more about the different aspects of e-business in their firm. The generic e-Business Model Ontology (a rigorous definition of the e-business issues and their interdependencies in a company’s business model), which we outline in this paper is the foundation for the development of various useful tools for e-business management and IS Requirements Engineering. The e-Business Model Ontology is based on an extensive litErature review and describes the logic of a “business system” for creating value in the Internet Era. It is composed of four main pillars, which are Product Innovation, Infrastructure Management, Customer Relationship and Financial Aspects. These elements are then further decomposed. 1.

  • e business model design classification and measurements
    Thunderbird International Business Review, 2002
    Co-Authors: Magali Dubossontorbay, Alexander Osterwalder, Yves Pigneur
    Abstract:

    “Business model” is one of the latest buzzwords in the Internet and electronic business world. This paper has the ambition to give this term a more rigorous content. The objective is threefold. The first one is to propose a theoretical e-business model framework for doing business in the Internet Era. The second one is to propose a multi-dimensional classification-scheme for eBusiness Models, as opposed to the actual tendency in academic litErature to use two-dimensional classifications. The final objective is to define critical success factors, based on a field study in order to find out and compare the performance indicators used by e-business firms which are competing with similar businesses models.

  • an ebusiness model ontology for modeling ebusiness
    Bled eConference, 2002
    Co-Authors: Alexander Osterwalder, Yves Pigneur
    Abstract:

    After explaining why business executives and academics should consider thinking about a rigorous approach to e-business models, we introduce a new e-Business Model Ontology. Using the concept of business models can help companies understand, communicate and share, change, measure, simulate and learn more about the different aspects of e-business in their firm. The generic e-Business Model Ontology (a rigorous definition of the e-business issues and their interdependencies in a company’s business model), which we outline in this paper is the foundation for the development of various useful tools for e-business management and IS Requirements Engineering. The e-Business Model Ontology is based on an extensive litErature review and describes the logic of a “business system” for creating value in the Internet Era. It is composed of four main pillars, which are product innovation, infrastructure management, customer relationship and financials. These elements are then further decomposed. Alexander Osterwalder, Yves Pigneur

Yu Xin - One of the best experts on this subject based on the ideXlab platform.

Wesley W Chu - One of the best experts on this subject based on the ideXlab platform.

  • effective schema conversions between xml and relational models
    2002
    Co-Authors: Dongwon Lee, Murali Mani, Wesley W Chu
    Abstract:

    As Extensible Markup Language (XML) is emerging as the data format of the Internet Era, there is an increasing need to efficiently store and query XML data. At the same time, as requirements change, we expect a substantial amount of conventional relational data to be converted or published as XML data. One path to accommodate these changes is to transform XML data into relational format (and vice versa) to use the mature relational database technology. In this paper, we present three semantics-based schema transformation algorithms towards this goal: 1) CPI converts an XML schema to a relational schema while preserving semantic constraints of the original XML schema, 2) NeT derives a nested structured XML schema from a flat relational schema by repeatedly applying the nest opErator so that the resulting XML schema becomes hiErarchical, and 3) CoT takes a relational schema as input, where multiple tables are interconnected through inclusion dependencies and genErates an equivalent XML schema as output.

  • cpi constraints preserving inlining algorithm for mapping xml dtd to relational schema
    Data and Knowledge Engineering, 2001
    Co-Authors: Dongwon Lee, Wesley W Chu
    Abstract:

    Abstract As Extensible Markup Language (XML) is emerging as the data format of the Internet Era, there are increasing needs to efficiently store and query XML data. One path to this goal is transforming XML data into relational format in order to use relational database technology. Although sevEral transformation algorithms exist, they are incomplete in the sense that they focus only on structural aspects and ignore semantic aspects. In this paper, we present the semantic knowledge that needs to be captured during transformation to ensure a correct relational schema. Further, we show an algorithm that can (1) derive such semantic knowledge from a given XML Document Type Definition (DTD) and (2) preserve the knowledge by representing it as semantic constraints in relational database terms. By combining existing transformation algorithms and our constraints-preserving algorithm, one can transform XML DTD to relational schema where correct semantics and behaviors are guaranteed by the preserved constraints. Experimental results are also presented.

  • comparative analysis of six xml schema languages
    International Conference on Management of Data, 2000
    Co-Authors: Dongwon Lee, Wesley W Chu
    Abstract:

    As XML [5] is emerging as the data format of the Internet Era, there is an substantial increase of the amount of data in XML format. To better describe such XML data structures and constraints, sevEral XML schema languages have been proposed. In this paper, we present a comparative analysis of six noteworthy XML schema languages.

  • constraints preserving transformation from xml document type definition to relational schema
    Lecture Notes in Computer Science, 2000
    Co-Authors: Dongwon Lee, Wesley W Chu
    Abstract:

    As Extensible Markup Language (XML) [5] is emerging as the data format of the Internet Era, there are increasing needs to efficiently store and query XML data. One way towards this goal is using relational database by transforming XML data into relational format. In this paper, we argue that existing transformation algorithms are not complete in the sense that they focus only on structural aspects and ignoring semantic aspects. We present the semantic knowledge that needs to be captured during the transformation to ensure a correct relational schema. Further, we show a simple algorithm that can 1) derive such semantic knowledge from the given XML Document Type Definition (DTD) and 2) preserve the knowledge by representing them in terms of semantic constraints in relational database terms. By combining the existing transformation algorithms and our constraints-preserving algorithm, one can transform XML DTD to relational schema where correct semantics and behaviors are guaranteed by the preserved constraints. Experimental results are also presented.

Gillian Youngs - One of the best experts on this subject based on the ideXlab platform.

  • global political economy in the information age power and inequality
    2007
    Co-Authors: Gillian Youngs
    Abstract:

    Introduction: 20th-21st Century Imaginings and Realities Section 1: Time/Space Frameworks 1. States and Markets: Understanding Geospatial Time 2. Virtual Realities: Exploring Sociospatiality 3. The Political Economy of Time: Historical Time, Speed and Mobility Section 2: Borders and Inequality 4. Transcendence and Communication 5. Inequality as Driver 6. Embedding Patriarchy: Feminism and Inequality in the Internet Era Section 3: Technofutures and Power 7. Complex Hegemony in the 21st Century: Power and Inequality Conclusion

  • the political economy of time in the Internet Era feminist perspectives and challenges
    Information Communication & Society, 2001
    Co-Authors: Gillian Youngs
    Abstract:

    This paper examines the gender matrix of time, arguing for cross-disciplinary considEration of political economy, globalization and technology to achieve a detailed understanding of gendered hiErarchies of time and the ways in which public/private identifications of social space and time have variously constructed and maintained them. It is argued that women are alienated from their own time, which is identified as most legitimately allocated to the service of others both in the home and at work. The inter-relationship of technologies and gendered identities is explored in relation to public/private divisions and the political-economic and scientific-technological knowledge processes that contribute to upholding them. ICTs reflect these historically established gendered patterns, but international projects such as 'Women on the Net' also demonstrate the capacities of these technologies for disrupting the gender matrix of time through their use by women for women.