EconPapers    
Economics at your fingertips  
 

Open Data, Big Data and Crowdsourcing: Emergent Mobile Apps Business Models

Samy Guesmi
Additional contact information
Samy Guesmi: IDRAC Business School, Paris

Communications & Strategies, 2014, vol. 1, issue 96, 53-72

Abstract: The aim of this paper is to discuss the business model of a free social GPS mobile app for public transportation. The app functioning relies on open data and crowdsourcing. The crossing of transporter data (open data) and service users' data (crowdsourcing) feed the app's algorithm, which in the end enhance the public transportation experience. The hinge and tensions between for profit and not for profit sides of the data stemming from open data and crowdsourcing are questioned in the implementation of the company business model as well as the role and function of the business model in the start-up strategy.

Keywords: open data; crowdsourcing; big data; business model; n-sided markets. (search for similar items in EconPapers)
JEL-codes: L17 M15 M21 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://repec.idate.org/RePEc/idt/journl/CS9603/CS96_GUESMI.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:idt:journl:cs9603

Access Statistics for this article

More articles in Communications & Strategies from IDATE, Com&Strat dept. Contact information at EDIRC.
Bibliographic data for series maintained by BLAVIER Thomas ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-19
Handle: RePEc:idt:journl:cs9603