<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Stoyan Tanev</style></author><author><style face="normal" font="default" size="100%">Gregory Sandstrom</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Editorial: Celebrating Innovation in Florence (October 2019)</style></title><secondary-title><style face="normal" font="default" size="100%">Technology Innovation Management Review</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">behavioural economics</style></keyword><keyword><style  face="normal" font="default" size="100%">behavioural science</style></keyword><keyword><style  face="normal" font="default" size="100%">bibliometric analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">business models</style></keyword><keyword><style  face="normal" font="default" size="100%">Buyer-Supplier Relationships</style></keyword><keyword><style  face="normal" font="default" size="100%">choice architecture</style></keyword><keyword><style  face="normal" font="default" size="100%">collaboration</style></keyword><keyword><style  face="normal" font="default" size="100%">consumer-to-business</style></keyword><keyword><style  face="normal" font="default" size="100%">Content creator-based business models</style></keyword><keyword><style  face="normal" font="default" size="100%">content creators</style></keyword><keyword><style  face="normal" font="default" size="100%">creativity management</style></keyword><keyword><style  face="normal" font="default" size="100%">digital platforms</style></keyword><keyword><style  face="normal" font="default" size="100%">digital technologies</style></keyword><keyword><style  face="normal" font="default" size="100%">digital transformation</style></keyword><keyword><style  face="normal" font="default" size="100%">Digital user involvement</style></keyword><keyword><style  face="normal" font="default" size="100%">digitalization</style></keyword><keyword><style  face="normal" font="default" size="100%">digitization</style></keyword><keyword><style  face="normal" font="default" size="100%">disruption</style></keyword><keyword><style  face="normal" font="default" size="100%">e-commerce</style></keyword><keyword><style  face="normal" font="default" size="100%">human-centered data economy</style></keyword><keyword><style  face="normal" font="default" size="100%">IIoT</style></keyword><keyword><style  face="normal" font="default" size="100%">Industry 4.0</style></keyword><keyword><style  face="normal" font="default" size="100%">innovation</style></keyword><keyword><style  face="normal" font="default" size="100%">innovation policy</style></keyword><keyword><style  face="normal" font="default" size="100%">intellectual commerce</style></keyword><keyword><style  face="normal" font="default" size="100%">Living lab</style></keyword><keyword><style  face="normal" font="default" size="100%">mission-led science</style></keyword><keyword><style  face="normal" font="default" size="100%">multisided platforms</style></keyword><keyword><style  face="normal" font="default" size="100%">personal data</style></keyword><keyword><style  face="normal" font="default" size="100%">research impact</style></keyword><keyword><style  face="normal" font="default" size="100%">social commerce</style></keyword><keyword><style  face="normal" font="default" size="100%">Supplier Integration</style></keyword><keyword><style  face="normal" font="default" size="100%">taxonomy</style></keyword><keyword><style  face="normal" font="default" size="100%">user-generated content</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2019</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">3-4</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">10</style></issue><custom1><style face="normal" font="default" size="100%">&lt;p&gt;Technology Innovation Management Review&lt;/p&gt;&lt;p&gt;Stoyan Tanev, PhD, MSc, MEng, MA, is Associate Professor of Technology Entrepreneurship and Innovation Management associated with the Technology Innovation Management (TIM) Program, Sprott School of Business, Carleton University, Ottawa, ON, Canada. Before re-joining Carleton University, Dr. Tanev was part of the Innovation and Design Engineering Section, Faculty of Engineering, University of Southern Denmark (SDU), Odense, Denmark.&lt;br /&gt;Dr. Tanev has a multidisciplinary background including MSc in Physics (Sofia University, Bulgaria), PhD in Physics (1995, University Pierre and Marie Curie, Paris, France, co-awarded by Sofia University, Bulgaria), MEng in Technology Management (2005, Carleton University, Ottawa, Canada), MA in Orthodox Theology (2009, University of Sherbrooke, Montreal Campus, QC, Canada) and PhD in Theology (2012, Sofia University, Bulgaria).&lt;br /&gt;Dr. Stoyan Tanev has published multiple articles in several research domains. His current research interests are in the fields of technology entrepreneurship and innovation management, design principles and growth modes of global technology start-ups, business analytics, topic modeling and text mining. He has also an interest in interdisciplinary issues on the interface of the natural and social sciences.&lt;/p&gt;</style></custom1><custom2><style face="normal" font="default" size="100%">&lt;p&gt;Technology Innovation Management Review&lt;/p&gt;&lt;p&gt;Gregory Sandstrom is Managing Editor of the&amp;nbsp;&lt;em&gt;Technology Innovation Management Review&lt;/em&gt;. Former Associate Professor of Mass Media and Communications at the European Humanities University and Affiliated Associate Professor at the Social Innovations Laboratory, Mykolas Romeris University in Vilnius, Lithuania. PhD from St. Petersburg State University and the Sociological Institute of the Russian Academy of Sciences, sector on Sociology of Science. Postdoctoral Research Fellow at the Lithuanian Science Council and Autonomous National University of Mexico&amp;#39;s Institute for Applied Mathematics and Systems. Promoter and builder of blockchain distributed ledger technology systems and digital extension services.&lt;/p&gt;</style></custom2><section><style face="normal" font="default" size="100%">3</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Martin D. Mileros</style></author><author><style face="normal" font="default" size="100%">Nicolette Lakemond</style></author><author><style face="normal" font="default" size="100%">Robert Forchheimer</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Towards a Taxonomy of E-Commerce: Characterizing Content Creator-based Business Models</style></title><secondary-title><style face="normal" font="default" size="100%">Technology Innovation Management Review</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">consumer-to-business</style></keyword><keyword><style  face="normal" font="default" size="100%">Content creator-based business models</style></keyword><keyword><style  face="normal" font="default" size="100%">content creators</style></keyword><keyword><style  face="normal" font="default" size="100%">e-commerce</style></keyword><keyword><style  face="normal" font="default" size="100%">human-centered data economy</style></keyword><keyword><style  face="normal" font="default" size="100%">intellectual commerce</style></keyword><keyword><style  face="normal" font="default" size="100%">multisided platforms</style></keyword><keyword><style  face="normal" font="default" size="100%">personal data</style></keyword><keyword><style  face="normal" font="default" size="100%">social commerce</style></keyword><keyword><style  face="normal" font="default" size="100%">user-generated content</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://timreview.ca/article/1276</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Talent First Network</style></publisher><pub-location><style face="normal" font="default" size="100%">Ottawa</style></pub-location><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">62-74</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract><issue><style face="normal" font="default" size="100%">10</style></issue><custom1><style face="normal" font="default" size="100%">&lt;p align=&quot;JUSTIFY&quot;&gt;Linköping University, Research Institutes of Sweden&lt;/p&gt;&lt;p align=&quot;JUSTIFY&quot;&gt;Martin D. Mileros is a third year industrial PhD student at Research Institutes of Sweden (RISE) and Linköping University in Linköping, Sweden. The research mainly concerns value of personal data within a human-centered data economy. Martin has a MSc degree in Applied Physics and Electrical Engineering, a MSc degree in Computer Science and a Bachelor degree in Business Administration.&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;</style></custom1><custom2><style face="normal" font="default" size="100%">&lt;div&gt;Linköping University&lt;/div&gt;&lt;div&gt;&lt;p align=&quot;JUSTIFY&quot;&gt;Nicolette Lakemond&amp;nbsp;is Professor in Industrial Management at Linköping University, Sweden. She holds a PhD from Linköping University. Her research focuses on innovation and management challenges related to increasingly complex intelligent products and systems. This includes the organization of innovation, collaboration and knowledge integration, innovation in ecosystems, technology platforms and applications and innovation as recombination in new types of systems architectures. The research conducted is focused on unravelling future management challenges by research approaches that build on the tight connection between technology and management. She has previously performed research on innovation in complex and inter-organizational settings, including buyer-supplier collaboration and customers&amp;rsquo; role in the knowledge supply chain of innovation, inter-firm collaboration in digitalization projects, and knowledge integration in open innovation. Her research has been published in among others Industrial Marketing Management, Industrial and Corporate Change, Technovation, R&amp;amp;D Management, Creativity and Innovation Management, Journal of Purchasing and Supply Management, and Research Technology Management.&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;</style></custom2><custom3><style face="normal" font="default" size="100%">&lt;div&gt;Linköping University&lt;/div&gt;&lt;div&gt;&amp;nbsp;&lt;/div&gt;&lt;div&gt;Robert Forchheimer&amp;nbsp;is Professor Emeritus at Linköping University, Sweden. He graduated with a MSc degree in Electrical Engineering from the Royal Institute of Technology, Stockholm in 1972 and received his doctoral degree from Linköping University in 1979. His research areas have included telecommunication and signal processing. Today, his interests cover various aspects of the use of digital services with respect to safety and integrity.&lt;/div&gt;</style></custom3><section><style face="normal" font="default" size="100%">62</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Laurette Dubé</style></author><author><style face="normal" font="default" size="100%">Pan Du</style></author><author><style face="normal" font="default" size="100%">Cameron McRae</style></author><author><style face="normal" font="default" size="100%">Neha Sharma</style></author><author><style face="normal" font="default" size="100%">Srinivasan Jayaraman</style></author><author><style face="normal" font="default" size="100%">Jian-Yun Nie</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Convergent Innovation in Food through Big Data and Artificial Intelligence for Societal-Scale Inclusive Growth</style></title><secondary-title><style face="normal" font="default" size="100%">Technology Innovation Management Review</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">artificial intelligence</style></keyword><keyword><style  face="normal" font="default" size="100%">convergent innovation</style></keyword><keyword><style  face="normal" font="default" size="100%">food</style></keyword><keyword><style  face="normal" font="default" size="100%">social media</style></keyword><keyword><style  face="normal" font="default" size="100%">user-generated content</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">02/2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/1139</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Talent First Network</style></publisher><pub-location><style face="normal" font="default" size="100%">Ottawa</style></pub-location><volume><style face="normal" font="default" size="100%">8</style></volume><pages><style face="normal" font="default" size="100%">49-65</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom1><style face="normal" font="default" size="100%">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.</style></custom1><custom2><style face="normal" font="default" size="100%">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.</style></custom2><custom3><style face="normal" font="default" size="100%">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.</style></custom3><custom4><style face="normal" font="default" size="100%">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.</style></custom4><custom5><style face="normal" font="default" size="100%">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 &amp; World CSR Day at 2016.</style></custom5><custom6><style face="normal" font="default" size="100%">Université de Montréal
Jian-Yun Nie is a Professor in Computer Science at the University of Montreal, Canada, and is associated with the IVADO institute. He obtained a PhD degree from Université Joseph Fourier of Grenoble, France. He specializes in information retrieval, natural language processing, and artificial intelligence. He has been doing research in these areas for 30 years and has published many papers on these topics. He has served as general chair and PC chair for several conferences in the area of information retrieval. He is on the board of several international journals, including Information Retrieval Journal. He has been an invited researcher at several institutions (Tsinghua University, Peking University) and companies (Microsoft Research, Baidu, and Yahoo!).</style></custom6></record></records></xml>