02525nas 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/113900766nas a2200253   4500008004100000022001400041245007500055210006900130260004200199300000800241490000600249653001800255653002600273653001800299653002100317653002500338653001700363653002000380100001800400700002300418700001700441700001700458856003700475       2018                        eng d  a1927-032100aEditorial: Inclusive Innovation in Developed Countries (February 2018)0 aEditorial Inclusive Innovation in Developed Countries February 2  aOttawabTalent First Networkc02/2018  a3-60 v810abiotechnology10aconvergent innovation10afood security10ainclusive growth10ainclusive innovation10amaker spaces10aOpen innovation1 aMcPhee, Chris1 aSchillo, R. Sandra1 aEarl, Louise1 aKinder, Jeff  uhttp://timreview.ca/article/113401907nas a2200229   4500008004100000022001400041245011000055210006900165260004200234300001000276490000600286520118700292653001501479653002601494653001501520653001501535653001601550100002301566700002701589700002401616856003701640       2017                        eng d  a1927-032100aConvergent Innovation in Emerging Healthcare Technology Ecosystems: Addressing Complexity and Integration0 aConvergent Innovation in Emerging Healthcare Technology Ecosyste  aOttawabTalent First Networkc09/2017  a44-540 v73 aPrecision Medicine and Digital Health are emerging areas in healthcare, and they are underpinned by convergent or cross-industry innovation. However, convergence results in greater uncertainty and complexity in terms of technologies, value networks, and organization. There has been limited empirical research on emerging and convergent ecosystems, especially in addressing the issue of integration. This research identifies how organizations innovate in emerging and convergent ecosystems, specifically, how they address the challenge of integration. We base our research on empirical analyses using a series of longitudinal case studies employing a combination of case interviews, field observations, and documents. Our findings identify a need to embrace the complexity by adopting a variety of approaches that balance “credibility-seeking” and “advantage-seeking” behaviours, to navigate, negotiate, and nurture both the innovation and ecosystem, in addition to a combination of “analysis” and “synthesis” actions to manage aspects of integration. We contribute to the convergent innovation agenda and provide practical approaches for innovators in this domain. 10acomplexity10aconvergent innovation10aecosystems10ahealthcare10aintegration1 aPhillips, Mark, A.1 aHarrington, Tomás, S.1 aSrai, Jagjit, Singh  uhttp://timreview.ca/article/1105