@article {1119,
	title = {Designing a Business Model for Environmental Monitoring Services Using Fast MCDS Innovation Support Tools},
	journal = {Technology Innovation Management Review},
	volume = {7},
	year = {2017},
	month = {11/2017},
	pages = {36-46},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {The free availability of open data provides opportunities to start new businesses and gain business intelligence. However, although data is often used to support decisions and actions, the possibilities offered by modern sensor technologies with connections to cloud-based data collection services are not being effectively capitalized. Data collection systems are also not generally open source solutions, even though open and flexibly adjustable systems would broaden the opportunities for solutions and larger revenue streams. In this article, we used action research methods to discover new business opportunities in a semi-open information system that utilizes environmental monitoring data. We applied a four-stage innovation process for industry, which included context definition, idea generation, and selection, and produced multi-criteria decision support (MCDS) data to help the design of business model. This was done to reveal business opportunities for an environmental monitoring service. Among these opportunities, one service-style business model canvas was identified as feasible and selected for further development. We identified items that are needed in the commercialization process of environmental monitoring services. Our process combines open environmental monitoring data, participative innovation process, and MCDS support, and it supports and accelerates a co-creative business model creation process that is cost-beneficial in terms of saving time. The results are applicable to the creation of an open data information system that supports data-driven innovation.},
	keywords = {business model, data collection, environmental monitoring, MCDS, open data, service innovation},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1119},
	url = {http://timreview.ca/article/1119},
	author = {Tuomo Eskelinen and Teemu R{\"a}s{\"a}nen and Ulla Santti and Ari Happonen and Miika Kajanus}
}
@article {1115,
	title = {Editorial: Insights (November 2017)},
	journal = {Technology Innovation Management Review},
	volume = {7},
	year = {2017},
	month = {11/2017},
	pages = {3-4},
	publisher = {Talent First Network},
	address = {Ottawa},
	keywords = {academic publishing, business models, cities, collaboration, entrepreneurship, fourth industrial revolution, Industry 4.0, Internet of Things, IOT, living labs, open access, open data, Open innovation, social innovation, value propositions},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1115},
	url = {http://timreview.ca/article/1115},
	author = {Chris McPhee}
}
@article {757,
	title = {The Businesses of Open Data and Open Source: Some Key Similarities and Differences},
	journal = {Technology Innovation Management Review},
	volume = {4},
	year = {2014},
	month = {01/2014},
	pages = {12-17},
	publisher = {Talent First Network},
	address = {Ottawa},
	keywords = {business models, entrepreneurship, licensing, open data, open source},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/757},
	url = {http://timreview.ca/article/757},
	author = {Juho Lindman and Linus Nyman}
}
@article {755,
	title = {Editorial: Open Source Business (January 2014)},
	journal = {Technology Innovation Management Review},
	volume = {4},
	year = {2014},
	month = {01/2014},
	pages = {3},
	publisher = {Talent First Network},
	address = {Ottawa},
	keywords = {business models, collaboration, ecosystems, licensing, open data, open source business, open source software, patterns},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/755},
	url = {http://timreview.ca/article/755},
	author = {Chris McPhee}
}
