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Sensor-based entrepreneurship: A framework for developing new products and services

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  • Brown, Terrence E.

Abstract

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.

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  • Brown, Terrence E., 2017. "Sensor-based entrepreneurship: A framework for developing new products and services," Business Horizons, Elsevier, vol. 60(6), pages 819-830.
    • Handle: RePEc:eee:bushor:v:60:y:2017:i:6:p:819-830
    DOI: 10.1016/j.bushor.2017.07.008
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    1. Clyde Eiríkur Hull & Yu-Ting Caisy Hung & Neil Hair & Victor Perotti & Richard DeMartino, 2007. "Taking advantage of digital opportunities: a typology of digital entrepreneurship," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 4(3), pages 290-303.
    2. Kietzmann, Jan H. & Hermkens, Kristopher & McCarthy, Ian P. & Silvestre, Bruno S., 2011. "Social media? Get serious! Understanding the functional building blocks of social media," Business Horizons, Elsevier, vol. 54(3), pages 241-251, May.
    3. Prpić, John & Shukla, Prashant P. & Kietzmann, Jan H. & McCarthy, Ian P., 2015. "How to work a crowd: Developing crowd capital through crowdsourcing," Business Horizons, Elsevier, vol. 58(1), pages 77-85.
    4. Eric Schenk & Claude Guittard, 2011. "Towards a characterization of crowdsourcing practices," Post-Print halshs-00439256, HAL.
    5. Eric Schenk & Claude Guittard, 2011. "Towards a characterization of crowdsourcing practices," Journal of Innovation Economics, De Boeck Université, vol. 0(1), pages 93-107.
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