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Crowd-driven IoT/IoE ecosystems: a multidimensional approach
University of Southampton.
CTI.
University of Geneva.
University of Geneva.
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Number of Authors: 12
2016 (English)In: Beyond the Internet of Things: Everything Interconnected / [ed] Jordi Mongay Batalla, George Mastorakis, Constandinos X. Mavromoustakis, Evangelos Pallis, Springer, 2016Chapter 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, 2016.
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-59947ISBN: 978-3-319-50756-9ISBN: 978-3-319-50758-3OAI: 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: 2016-12-08

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