TY - JOUR T1 - Convergent Innovation in Food through Big Data and Artificial Intelligence for Societal-Scale Inclusive Growth JF - Technology Innovation Management Review Y1 - 2018 A1 - Laurette Dubé A1 - Pan Du A1 - Cameron McRae A1 - Neha Sharma A1 - Srinivasan Jayaraman A1 - Jian-Yun Nie KW - artificial intelligence KW - convergent innovation KW - food KW - social media KW - user-generated content AB - 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. PB - Talent First Network CY - Ottawa VL - 8 UR - http://timreview.ca/article/1139 IS - 2 U1 - McGill University Laurette Dubé is a Full Professor and holds the James McGill Chair of Consumer and Lifestyle Psychology and Marketing at the Desautels Faculty of Management of McGill University in Montreal, Canada. Her research interest bears on the study of affects and behavioural economic processes underlying consumption and lifestyle behaviour and how such knowledge can inspire more effective health and marketing communications in both real life and technology-supported media. She is the Founding Chair and Scientific Director of the McGill Centre for the Convergence of Health and Economics (MCCHE). The MCCHE was created to foster partnerships among scientists and decision makers from all sectors of society to encourage a more ambitious notion of what can be done for more effective health management and novel pathways for social and business innovation. U2 - McGill University Pan Du is a Research Associate in the Department of Computer Science and Operational Research at the Université de Montréal, Canada. Before that, Pan was an Assistant Professor at the Chinese Academy of Sciences. He received his PhD from the Institute of Computing Technology of the Chinese Academy of Sciences. His research interests lie in text mining, information retrieval, machine learning, and social network analysis. He has published academic papers in various conferences and journals. He is a recipient of the 2016 “Science and Technology Progress Award” of the Chinese Institute of Electronics for his contribution to a web-scale text mining system. U3 - McGill University Cameron McRae is a Senior Research Analyst at the McGill Centre for the Convergence of Health and Economics in Montreal, Canada. Since joining the centre in 2014, he has led many translational research projects to support innovation in the agricultural, food, and health sectors. Cameron has strong interdisciplinary training at the nexus of science, technology, and management, with a Bachelor of Science in Pharmacology from McGill University, a Graduate Certificate in Business Administration from John Molson School of Business, and a Master of Health Informatics from the University of Toronto. Previously, Cameron has worked in both the public and private sectors to support strategy and practice in the areas of governance, business development, and business/market intelligence related to life sciences and digital health. U4 - McGill University Neha Sharma is currently pursuing her PhD at the Department of Bioresource Engineering at McGill University in Montreal, Canada. She completed her Master’s degree in Biochemical Engineering from Harcourt Butler Technical University, India. The title of her Master’s research project was “Optimization of Process parameters for Bacterial solid-state fermentation of Nattokinase to prevent myocardial infarction”, which culminated in principles of food processing, microbiology, and bioprocessing. Her Bachelor’s degree in Biotechnology is from IMS Engineering College, India, where she took various courses in molecular biology, genetic engineering, bioprocess engineering, fermentation biotechnology, food biotechnology, and environmental biotechnology, etc. In her final year, her Bachelor’s project was based on the study of plant extracts and their antimicrobial properties. U5 - McGill University Srinivasan Jayaraman is a Research Associate/Visiting Scholar at the Desautels Faculty of Management, at McGill University in Montreal, Canada. He obtained his Bachelor’s degree in Electronics and Instrumentation Engineering from Bharathidasan University, India, his MTech degree in Biomedical Engineering from SASTRA University in Thanjavur, India, and his doctorate from the School of Bioscience at the Indian Institute of Technology Madras in Chennai, India. Previously, he has held roles at TCS Innovation Labs, the University of Nebraska Lincoln, the New Jersey Institute of Technology, and INRS-EMT Canada. His research interests include human behavioural and performance modelling, ontology, ergonomics, personalized diagnosis systems, wearable devices, biosignal processing, and human-machine interfaces. In 2011, he won the MIT-TR35 young innovator award Indian edition and was recognized as one among the Top 50 most impactful social innovators (global listing) by World CSR Congress & World CSR Day at 2016. ER -