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An Insight into Software Crowd Sourcing: How Crowd can transform the Business Model for Technology Service Providers

by Dhananjay Mehta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 12
Year of Publication: 2014
Authors: Dhananjay Mehta
10.5120/17742-8900

Dhananjay Mehta . An Insight into Software Crowd Sourcing: How Crowd can transform the Business Model for Technology Service Providers. International Journal of Computer Applications. 101, 12 ( September 2014), 34-40. DOI=10.5120/17742-8900

@article{ 10.5120/17742-8900,
author = { Dhananjay Mehta },
title = { An Insight into Software Crowd Sourcing: How Crowd can transform the Business Model for Technology Service Providers },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 12 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 34-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number12/17742-8900/ },
doi = { 10.5120/17742-8900 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:31:31.152326+05:30
%A Dhananjay Mehta
%T An Insight into Software Crowd Sourcing: How Crowd can transform the Business Model for Technology Service Providers
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 12
%P 34-40
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Crowdsourcing is a distributed computing model which enables sharing of human efforts in form of ideas, non-hierarchical decision making; utilization of human intelligence and collaboration on complex real world problems that otherwise cannot be solved by any individual person , machine or organization easily. It leverage machine learning, automation, artificial intelligence and collective intelligence into real world challenges combining computation, mobile devices and social interaction to achieve large-scale distributed computing. This paper examines how software crowdsourcing can be helpful for technology service providers like IBM, TCS, Infosys, Accenture etc. and its potentials in transforming present technology outsourcing business model.

References
  1. Howe, J. (2006f) 'The Rise of Crowdsourcing', Wired, 14(6). At: http://www. wired. com/wired/archive/14. 06/crowds. html
  2. Enrique Estellés-Arolas, Fernando González-Ladrón-de-Guevara (2012), 'Towards an integrated crowdsourcing definition', Journal of Information Science.
  3. Eric SCHENK, Claude GUITTARD (December 7, 2009), Crowdsourcing: What can be Outsourced to the Crowd, and Why? Halshs-00439256, version 1 - 8 Dec 2009.
  4. Daren C. Brabham (2011), Crowdsourcing: A Model for Leveraging Online Communities .
  5. Greenough, P. , Chan, J. , Meier, P. , Bateman, L. , & Datta, S. (2009). Applied Technologies in Humanitarian Assistance: Report of the 2009 Applied. Prehospital and Disaster Medicine , 206-209.
  6. Fildes, J. (2010, March 1). Net puts Kenya at centre of Chile rescue efforts. At: http://news. bbc. co. uk/1/hi/world/americas/8543671. stm .
  7. Ramirez, J. (2010, March 03). Ushahidi technology saves lives in Haiti and Chile. Retrieved from Newsweek: http://blog. newsweek. com/blogs/techtonicshifts/archive/2010/03/03/ushahidi-technology-saves-lives-in-haiti-and-chile. aspx
  8. Ankit Sharma (2010), Crowdsourcing Critical Success Factor Model, Strategies to harness the collective intelligence of the crowd
  9. Daren C. Brabham (2008), Crowdsourcing as a Model for Problem Solving, An Introduction and Cases, Convergence: The International Journal of Research into New Media Technologies.
  10. InnoCentive, Harnessing the Global Talent Pool to Accelerate Innovation, EXECUTIVE WHITE PAPER.
  11. Andy Bethurum(September, 2012), Crowd Computing: An Overview, CrowdComputing Systems, Inc.
  12. Jafar Muhammadi and Hamid R. Rabiee,Department of Computer Engineering, Sharif University of Technology, Tehran, Iran. Crowd computing: a survey. arXiv:1301. 2774v1 [cs. AI] 13 Jan 2013.
  13. Braden Kelley, The Crowd Computing Revolution.
  14. massolution (january 2013), The Crowd in the Cloud: Exploring the Future of Outsourcing.
  15. Goldcorp Challenge Winners! (2001) The Goldcorp Challenge (12 March), URL (accessed May 4, 2007): At: http://www. goldcorpchallenge. com/challenge1/winnerslist/chaleng2. pdf.
  16. Beth Simone Noveck, 2006. "Peer to Patent": Collective Intelligence, Open Review, and Patent Reform," Harvard Journal of Law & Technology, volume 20, number 1, pp. 123-262.
  17. "Every Crowd has a silver lining", Eric Simon (2011), Everest Global Inc.
Index Terms

Computer Science
Information Sciences

Keywords

Crowdcomputing Crowdsourcing Collective Intelligence Enterprise Crowdsourcing.

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