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New learning network paradigms: Communities of objectives, crowdsourcing, wikis and open source

Author

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  • Albors, J.
  • Ramos, J.C.
  • Hervas, J.L.

Abstract

This paper analyzes the new learning and network collaboration paradigms, their motivation and consequences. The origins of these practices are traced to the development of the Internet and the impact of globalization. The paper analyzes their advantages and the factors which have led to their development. Three contexts or diverse points of view have been followed: academic and scientific, business and social. The paper aims to develop and propose a taxonomy of these practices according to certain variables related to communication, social interaction, information, intellectual property, knowledge access and values.

Suggested Citation

  • Albors, J. & Ramos, J.C. & Hervas, J.L., 2008. "New learning network paradigms: Communities of objectives, crowdsourcing, wikis and open source," International Journal of Information Management, Elsevier, vol. 28(3), pages 194-202.
    • Handle: RePEc:eee:ininma:v:28:y:2008:i:3:p:194-202
    DOI: 10.1016/j.ijinfomgt.2007.09.006
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    Cited by:

    1. Woo, Hongjoo & Shin, Daeun Chloe & Kim, Naeun Lauren & Tong, Zhenghao & Kwon, Soyon, 2024. "Can sharing with others whom consumers Can't see increase their sense of community? An examination of social presence on sharing platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    2. Sutherland, Will & Jarrahi, Mohammad Hossein, 2018. "The sharing economy and digital platforms: A review and research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 328-341.
    3. Pee, L.G. & Koh, E. & Goh, M., 2018. "Trait motivations of crowdsourcing and task choice: A distal-proximal perspective," International Journal of Information Management, Elsevier, vol. 40(C), pages 28-41.
    4. Nicola Camatti & Giacomo Tollo & Gianni Filograsso & Sara Ghilardi, 2024. "Predicting Airbnb pricing: a comparative analysis of artificial intelligence and traditional approaches," Computational Management Science, Springer, vol. 21(1), pages 1-25, June.
    5. Vazirani, Ashish & Sarkar, Subhro & Bhattacharjee, Titas & Dwivedi, Yogesh K & Jack, Sarah, 2023. "Information signals and bias in investment decisions: A meta-analytic comparison of prediction and actual performance of new ventures," Journal of Business Research, Elsevier, vol. 155(PB).
    6. Tuba Bakici, 2020. "Comparison of crowdsourcing platforms from social-psychological and motivational perspectives," Post-Print hal-02966992, HAL.
    7. Chen, Xiaogang & Li, Xue & Clark, Jan Guynes & Dietrich, Glenn B., 2013. "Knowledge sharing in open source software project teams: A transactive memory system perspective," International Journal of Information Management, Elsevier, vol. 33(3), pages 553-563.
    8. Livio Cricelli & Michele Grimaldi & Silvia Vermicelli, 2022. "Crowdsourcing and open innovation: a systematic literature review, an integrated framework and a research agenda," Review of Managerial Science, Springer, vol. 16(5), pages 1269-1310, July.
    9. Zhao, Sesia J. & Zhang, Kem Z.K. & Wagner, Christian & Chen, Huaping, 2013. "Investigating the determinants of contribution value in Wikipedia," International Journal of Information Management, Elsevier, vol. 33(1), pages 83-92.
    10. Kim, Jae Kyeong & Kim, Hyea Kyeong & Oh, Hee Young & Ryu, Young U., 2010. "A group recommendation system for online communities," International Journal of Information Management, Elsevier, vol. 30(3), pages 212-219.
    11. Hsieh, Jung-Kuei & Hsieh, Yi-Ching, 2013. "Appealing to Internet-based freelance developers in smartphone application marketplaces," International Journal of Information Management, Elsevier, vol. 33(2), pages 308-317.
    12. Patel, Chirag & Ahmad Husairi, Mariyani & Haon, Christophe & Oberoi, Poonam, 2023. "Monetary rewards and self-selection in design crowdsourcing contests: Managing participation, contribution appropriateness, and winning trade-offs," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

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