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Sensor-based entrepreneurship: A framework for developing new products and services
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
2017 (English)In: Business Horizons, ISSN 0007-6813, E-ISSN 1873-6068, Vol. 60, no 6, p. 819-830Article in journal (Refereed) Published
Abstract [en]

As the Internet of Things (IoT) begins to dominate the technology landscape, there will be new products and services that will become technically and financially feasible. Internet technologies and advancements in social interaction tools have led to an increase in the use of the crowd as a provider of business solutions. Yet, we have seen a mere fraction of the possibilities of crowdsourcing technologies. This is because most of the development, discussion, and research around crowdsourcing has focused on active-input crowdsourcing. However, the real transformative pressure will come from passive sources of data generated primarily by developing and growing sensor technologies. This next generation of crowdsourcing will be a game changer for entrepreneurial opportunities. As crowdsourcing systems proliferate, more input will be acquired from sensors, artificial intelligence, bots, and other devices. As a result of this explosion, the variety of product and service opportunities will swell as entrepreneurs become more aware of technologies merging—such as the combination of crowdsourcing, sensors, and big data into a new type of entrepreneurship: sensor-based entrepreneurship. The purpose of this research is to contribute by (1) clarifying the next generation of crowdsourcing and (2) developing and presenting a framework to help sensor-based entrepreneurs plan, develop, and map their new products and services.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 60, no 6, p. 819-830
Keywords [en]
Internet of Things, Crowdsourcing, big data, passive data collection
National Category
Business Administration
Research subject
Industrial Marketing
Identifiers
URN: urn:nbn:se:ltu:diva-65831DOI: 10.1016/j.bushor.2017.07.008ISI: 000414819000008OAI: oai:DiVA.org:ltu-65831DiVA, id: diva2:1144503
Note

Validerad;2017;Nivå 2;2017-12-01 (andbra)

Available from: 2017-09-26 Created: 2017-09-26 Last updated: 2018-04-19Bibliographically approved

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Brown, Terrence

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