IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/4578.html
   My bibliography  Save this paper

What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software

Author

Listed:
  • O'Reilly, Tim

Abstract

This paper was the first initiative to try to define Web2.0 and understand its implications for the next generation of software, looking at both design patterns and business modes. Web 2.0 is the network as platform, spanning all connected devices; Web 2.0 applications are those that make the most of the intrinsic advantages of that platform: delivering software as a continually-updated service that gets better the more people use it, consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others, creating network effects through an "architecture of participation," and going beyond the page metaphor of Web 1.0 to deliver rich user experiences.

Suggested Citation

  • O'Reilly, Tim, 2007. "What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software," MPRA Paper 4578, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:4578
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/4578/1/MPRA_paper_4578.pdf
    File Function: original version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/4580/1/MPRA_paper_4580.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cuesta-Valiño, Pedro & Gutiérrez-Rodríguez, Pablo & García-Henche, Blanca, 2022. "Word of mouth and digitalization in small retailers: Tradition, authenticity, and change," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Williams, Nigel L. & Inversini, Alessandro & Ferdinand, Nicole & Buhalis, Dimitrios, 2017. "Destination eWOM: A macro and meso network approach?," Annals of Tourism Research, Elsevier, vol. 64(C), pages 87-101.
    3. Hannibal, Martin & Knight, Gary, 2018. "Additive manufacturing and the global factory: Disruptive technologies and the location of international business," International Business Review, Elsevier, vol. 27(6), pages 1116-1127.
    4. Kibae Kim & Jorn Altmann, 2011. "A Complex Network Analysis of the Weighted Graph of the Web2.0 Service Network," TEMEP Discussion Papers 201178, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jul 2011.
    5. Zeng, Michael A., 2018. "Foresight by online communities – The case of renewable energies," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 27-42.
    6. Zhang, Yucheng & Zhang, Meng & Li, Jing & Liu, Guangjian & Yang, Miles M. & Liu, Siqi, 2021. "A bibliometric review of a decade of research: Big data in business research – Setting a research agenda," Journal of Business Research, Elsevier, vol. 131(C), pages 374-390.
    7. Franch, Fabio, 2021. "Political preferences nowcasting with factor analysis and internet data: The 2012 and 2016 US presidential elections," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    8. Fernandes, Silvia & Belo, Ana & Castela, Guilherme, 2016. "Social network enterprise behaviors and patterns in SMEs: Lessons from a Portuguese local community centered around the tourism industry," Technology in Society, Elsevier, vol. 44(C), pages 15-22.
    9. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2019. "Technology in the 21st century: New challenges and opportunities," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 321-335.
    10. Fernandes, Semila & Venkatesh, V.G. & Panda, Rajesh & Shi, Yangyan, 2021. "Measurement of factors influencing online shopper buying decisions: A scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    11. Zeng, Michael A. & Koller, Hans & Jahn, Reimo, 2019. "Open radar groups: The integration of online communities into open foresight processes," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 204-217.

    More about this item

    Keywords

    collective intelligence; rich client; data; software as a service; long tail and beta;
    All these keywords.

    JEL classification:

    • K23 - Law and Economics - - Regulation and Business Law - - - Regulated Industries and Administrative Law
    • K41 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Litigation Process
    • L41 - Industrial Organization - - Antitrust Issues and Policies - - - Monopolization; Horizontal Anticompetitive Practices
    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • L90 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:4578. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.