01581nas a2200541   4500008004100000245006500041210006200106260001200168300000800180490000600188653002600194653002400220653002600244653002000270653003300290653002400323653001800347653002500365653004200390653002100432653002600453653002200479653002500501653002700526653002900553653001900582653001700601653001500618653001500633653003200648653000900680653001700689653001500706653002200721653002600743653001500769653002400784653002500808653001800833653002000851653002000871653002500891653001300916653002700929100001800956700002300974856004200997       2019                        eng d00aEditorial: Celebrating Innovation in Florence (October 2019)0 aEditorial Celebrating Innovation in Florence October 2019  c10/2019  a3-40 v910abehavioural economics10abehavioural science10abibliometric analysis10abusiness models10aBuyer-Supplier Relationships10achoice architecture10acollaboration10aconsumer-to-business10aContent creator-based business models10acontent creators10acreativity management10adigital platforms10adigital technologies10adigital transformation10aDigital user involvement10adigitalization10adigitization10adisruption10ae-commerce10ahuman-centered data economy10aIIoT10aIndustry 4.010ainnovation10ainnovation policy10aintellectual commerce10aLiving lab10amission-led science10amultisided platforms10apersonal data10aresearch impact10asocial commerce10aSupplier Integration10ataxonomy10auser-generated content1 aTanev, Stoyan1 aSandstrom, Gregory  uhttps://www.timreview.ca/article/127001832nas a2200289   4500008004100000022001400041245009100055210006900146260004200215300001000257490000600267520090800273653002501181653004201206653002101248653001501269653003201284653002601316653002501342653001801367653002001385653002701405100002401432700002401456700002401480856003801504       2019                        eng d  a1927-032100aTowards a Taxonomy of E-Commerce: Characterizing Content Creator-based Business Models0 aTowards a Taxonomy of ECommerce Characterizing Content Creatorba  aOttawabTalent First Networkc10/2019  a62-740 v93 aCurrently, 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.10aconsumer-to-business10aContent creator-based business models10acontent creators10ae-commerce10ahuman-centered data economy10aintellectual commerce10amultisided platforms10apersonal data10asocial commerce10auser-generated content1 aMileros, Martin, D.1 aLakemond, Nicolette1 aForchheimer, Robert  uhttps://timreview.ca/article/127602525nas a2200265   4500008004100000022001400041245011500055210006900170260004200239300001000281490000600291520170600297653002802003653002602031653000902057653001702066653002702083100002002110700001202130700001902142700001702161700002602178700001802204856003702222       2018                        eng d  a1927-032100aConvergent Innovation in Food through Big Data and Artificial Intelligence for Societal-Scale Inclusive Growth0 aConvergent Innovation in Food through Big Data and Artificial In  aOttawabTalent First Networkc02/2018  a49-650 v83 aInclusive 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.10aartificial intelligence10aconvergent innovation10afood10asocial media10auser-generated content1 aDubé, Laurette1 aDu, Pan1 aMcRae, Cameron1 aSharma, Neha1 aJayaraman, Srinivasan1 aNie, Jian-Yun  uhttp://timreview.ca/article/1139