@article {1270,
	title = {Editorial: Celebrating Innovation in Florence (October 2019)},
	journal = {Technology Innovation Management Review},
	volume = {9},
	year = {2019},
	month = {10/2019},
	pages = {3-4},
	chapter = {3},
	keywords = {behavioural economics, behavioural science, bibliometric analysis, business models, Buyer-Supplier Relationships, choice architecture, collaboration, consumer-to-business, Content creator-based business models, content creators, creativity management, digital platforms, digital technologies, digital transformation, Digital user involvement, digitalization, digitization, disruption, e-commerce, human-centered data economy, IIoT, Industry 4.0, innovation, innovation policy, intellectual commerce, Living lab, mission-led science, multisided platforms, personal data, research impact, social commerce, Supplier Integration, taxonomy, user-generated content},
	author = {Stoyan Tanev and Gregory Sandstrom}
}
@article {1276,
	title = {Towards a Taxonomy of E-Commerce: Characterizing Content Creator-based Business Models},
	journal = {Technology Innovation Management Review},
	volume = {9},
	year = {2019},
	month = {10/2019},
	pages = {62-74},
	publisher = {Talent First Network},
	chapter = {62},
	address = {Ottawa},
	abstract = {Currently, new business models can be observed in content creator-based e-commerce. The research on e-commerce has grown rapidly and new concepts have emerged such as social commerce, platforms, and user-generated content. However, no overarching perspective has yet been formulated for distinguishing new content creator-based business models within e-commerce. The aim of this paper is therefore to characterize content creator-based business models by formulating a taxonomy of e-commerce based on a structured literature review of the concepts mentioned above. The results of our study point toward eight types of content creator-based business models. Our paper outlines theoretical and practical implications for the emerging phenomenon of content creator-based business, which we refer to as intellectual commerce. In addition, we describe 19 concepts related to Web 1.0, Web 2.0, and e-commerce.},
	keywords = {consumer-to-business, Content creator-based business models, content creators, e-commerce, human-centered data economy, intellectual commerce, multisided platforms, personal data, social commerce, user-generated content},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1276},
	url = {https://timreview.ca/article/1276},
	author = {Martin D. Mileros and Nicolette Lakemond and Robert Forchheimer}
}
@article {1139,
	title = {Convergent Innovation in Food through Big Data and Artificial Intelligence for Societal-Scale Inclusive Growth},
	journal = {Technology Innovation Management Review},
	volume = {8},
	year = {2018},
	month = {02/2018},
	pages = {49-65},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {Inclusive innovation has not yet reached societal scale due to a well-entrenched divide between wealth creation and social equity. Taking food as the initial test bed, we have proposed the convergent innovation model to address such challenges still facing 21st century society by bridging sectors and disciplines around an integrated goal on both sides of the social-economic divide for innovations that target wealth creation with an upfront consideration of its externalities. The convergent innovation model is empowered by two key enablers that integrate an advanced digital infrastructure with leading scientific knowledge on the drivers of human behaviour in varying contexts. This article discusses the structure, methods, and development of an artificial intelligence platform to support convergent innovation. Insights are gathered on consumer sentiment and behavioural drivers through the analysis of user-generated content on social media platforms. Empirical results show that user discussions related to marketing, consequences, and occasions are positive. Further regression modelling finds that economic consequences are a strong predictor of consumer global sentiment, but are also sensitive to both the actual price and economic awareness. This finding has important implications for inclusive growth and further emphasizes the need for affordable and accessible foods, as well as for consumer education. Challenges and opportunities inspired by the research results are discussed to inform the design, marketing, and delivery of convergent innovation products and services, while also contributing to dimensions of inclusion and economic performance for equitable health and wealth.},
	keywords = {artificial intelligence, convergent innovation, food, social media, user-generated content},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1139},
	url = {http://timreview.ca/article/1139},
	author = {Laurette Dub{\'e} and Pan Du and Cameron McRae and Neha Sharma and Srinivasan Jayaraman and Jian-Yun Nie}
}
