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Crowd-driven IoT/IoE ecosystems: a multidimensional approach
University of Southampton.
Computer Technology Institute & Press Diophantus, Patras.
University of Geneva.
University of Geneva.
Show others and affiliations
Number of Authors: 12
2017 (English)In: Beyond the Internet of Things: Everything Interconnected / [ed] Jordi Mongay Batalla, George Mastorakis, Constandinos X. Mavromoustakis, Evangelos Pallis, Springer International Publishing , 2017, 341-375 p.Chapter in book (Refereed)
Abstract [en]

During the past few years an astonishing paradigm shift has occurred; user-driven, open and collaborative innovation practices have emerged and an increasing number of users mutually collaborate by openly communicating their ideas, sharing best practices, and creating new knowledge across various sectors. These online, distributed crowd-driven networks leverage the network effects so as to harness the collective power and intelligence. Recently, there is an increasing interest in mobile crowd sensing (MCS) in the context of IoT/IoE which leverages both the power and the wisdom of the crowd in order to observe, measure and make sense of particular phenomena, such as environmental ones, using user-owned mobile and wearable devices. However, in order to ensure the success of such ecosystems, a number of diverse criteria need to be considered. As such this paper provides a framework, which supports the use of multiple perspectives (holistic approach) for the design of crowd-driven ecosystems. The proposed framework utilises three key perspectives: technical, business and end-user (people), in order to describe, analyse and finally design crowd-driven IoT/IoE ecosystems. In addition, this chapter examines the proposed model, in the context of IoT Lab, as a best practice crowd-driven IoT ecosystem, in order to explain how these perspectives can be used to promote ecosystem success.

Place, publisher, year, edition, pages
Springer International Publishing , 2017. 341-375 p.
Series
Internet of Things, ISSN 2199-1073
Keyword [en]
Internet of things, Internet of everything
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
URN: urn:nbn:se:ltu:diva-59947DOI: 10.1007/978-3-319-50758-3_14Scopus ID: 2-s2.0-85027250868ISBN: 978-3-319-50756-9 (print)ISBN: 978-3-319-50758-3 (print)OAI: oai:DiVA.org:ltu-59947DiVA: diva2:1040009
Projects
IoT Lab
Funder
EU, FP7, Seventh Framework Programme, 610477
Available from: 2016-10-26 Created: 2016-10-26 Last updated: 2017-09-06Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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  • en-US
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  • nn-NO
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Output format
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