<?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></contributors><titles><title><style face="normal" font="default" size="100%">Call for Papers: Distributed Ledger Technologies for Smart Digital Economies</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%">blockchain</style></keyword><keyword><style  face="normal" font="default" size="100%">cybersecurity</style></keyword><keyword><style  face="normal" font="default" size="100%">digital economy</style></keyword><keyword><style  face="normal" font="default" size="100%">distributed ledger technology</style></keyword><keyword><style  face="normal" font="default" size="100%">smartification</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">02/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">timreview.ca/article/1422</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%">11</style></volume><pages><style face="normal" font="default" size="100%">1-1</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">2</style></issue><section><style face="normal" font="default" size="100%">1</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%">Gregory Sandstrom</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Distributed Ledger Technologies and Social Machines: How to “smartify” the economy with blockchain-based digital extension services?</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%">blockchain</style></keyword><keyword><style  face="normal" font="default" size="100%">digital economy</style></keyword><keyword><style  face="normal" font="default" size="100%">digital platform</style></keyword><keyword><style  face="normal" font="default" size="100%">distributed ledger technology</style></keyword><keyword><style  face="normal" font="default" size="100%">economic development</style></keyword><keyword><style  face="normal" font="default" size="100%">extension services</style></keyword><keyword><style  face="normal" font="default" size="100%">extension thinking</style></keyword><keyword><style  face="normal" font="default" size="100%">innovation diffusion</style></keyword><keyword><style  face="normal" font="default" size="100%">Internet of Things</style></keyword><keyword><style  face="normal" font="default" size="100%">ledger community</style></keyword><keyword><style  face="normal" font="default" size="100%">smartification</style></keyword><keyword><style  face="normal" font="default" size="100%">social machines</style></keyword><keyword><style  face="normal" font="default" size="100%">web science</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">06/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">timreview.ca/article/1449</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%">11</style></volume><pages><style face="normal" font="default" size="100%">42-57</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper examines the broad impact of digitalization on economic development. More specifically, it addresses the computer science-derived notion of &quot;social machines&quot;, along with the invention of distributed ledger technologies (DLTs) (or blockchain), as potential signposts on the pathway to &quot;smart(er) digital economies&quot;. The paper investigates blockchain-based ecosystems as examples of social machines that assist in economic &quot;smartification&quot; and development. It looks at distributed ledger-based communities (DLCs) that provide examples of functioning social machines for a variety of business and personal network communications purposes. It then analyses the scaleup of DLT-based social machines by comparison with &quot;extension services&quot;, largely in education and agriculture, which are currently undergoing processes of digitalization. Overall, this conceptual study examines the general horizons and potential impact of blockchain and social machines on the provision of online products and services, across a range of sectors and industries. The paper offers interpretative assistance to managers, entrepreneurs, technology experts, and academics with lingering questions about blockchain in and for business and economic development.</style></abstract><issue><style face="normal" font="default" size="100%">6</style></issue><custom1><style face="normal" font="default" size="100%">Technology Innovation Management Review
Gregory Sandstrom is Managing Editor of the TIM Review. He is a former Associate Professor of Mass Media and Communications at the European Humanities University (2012-2017), and Affiliated Associate Professor at the Social Innovations Laboratory, Mykolas Romeris University (2016-2017) in Vilnius, Lithuania. His PhD is from St. Petersburg State University and the Sociological Institute of the Russian Academy of Sciences. He interned at the S.I. Vavilov Institute for the History of Science and Technology, St. Petersburg, sector on Sociology of Science (2010). He was a Postdoctoral Research Fellow at the Lithuanian Science Council (2013-2015), for which he conducted research visits to the Copernican Centre for Interdisciplinary Studies (Krakow), the University of Edinburgh's Extended Knowledge Project, Cambridge University's History and Philosophy of Science Department, and Virginia State University's Science and Technology Studies program. He worked for the Bard College Institute for Writing and Thinking, leading student and faculty language and communications workshops, most recently (2013, 2014, 2017) in Yangon, Myanmar. His current research interests are distributed ledger technology (blockchain) systems and digital extension services.</style></custom1><section><style face="normal" font="default" size="100%">42</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%">Can Azkan</style></author><author><style face="normal" font="default" size="100%">Markus Spiekermann</style></author><author><style face="normal" font="default" size="100%">Henry Goecke</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Uncovering Research Streams in the Data Economy Using Text Mining Algorithms</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%">big data</style></keyword><keyword><style  face="normal" font="default" size="100%">Data Economy</style></keyword><keyword><style  face="normal" font="default" size="100%">Data Ecosystem</style></keyword><keyword><style  face="normal" font="default" size="100%">Data Market</style></keyword><keyword><style  face="normal" font="default" size="100%">digital economy</style></keyword><keyword><style  face="normal" font="default" size="100%">digital transformation</style></keyword><keyword><style  face="normal" font="default" size="100%">literature review</style></keyword><keyword><style  face="normal" font="default" size="100%">Network Graph</style></keyword><keyword><style  face="normal" font="default" size="100%">Text Mining.</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%">11/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">timreview.ca/article/1284</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%">Data-driven business models arise in different social and industrial sectors, while new sensors and devices are breaking down the barriers for disruptive ideas and digitally transforming established solutions. This paper aims at providing insights about emerging topics in the data economy that are related to companies&amp;rsquo; innovation potential. The paper uses text mining supported by systematic literature review to automatize the extraction and analysis of beneficial insights for both scientists and practitioners that would not be possible by a manual literature review. By doing so, we were able to analyze 860 scientific publications resulting in an overview of the research field of data economy and innovation. Nine clusters and their key topics are identified, analyzed as well as visualized, as we uncover research streams in the paper.</style></abstract><issue><style face="normal" font="default" size="100%">11</style></issue><custom1><style face="normal" font="default" size="100%">&lt;div&gt;Fraunhofer Institute&amp;nbsp;&lt;/div&gt;&lt;div&gt;&amp;nbsp;&lt;/div&gt;&lt;div&gt;Can Azkan is a scientist and PhD candidate at the Fraunhofer Institute for Software and Systems Engineering ISST in Germany. He studied Mechanical Engineering at the Technical University of Dortmund and the San Diego State University, while he gained practical experience in the field of industrial engineering and digital business models in machine und plant engineering. His research at Fraunhofer ISST focuses on value co-creation in emerging data ecosystems and the management of data as a corporate asset.&lt;/div&gt;</style></custom1><custom2><style face="normal" font="default" size="100%">&lt;div&gt;Fraunhofer Institute&lt;/div&gt;&lt;div&gt;&amp;nbsp;&lt;/div&gt;&lt;div&gt;Markus Spiekermann currently works as Head of Department &amp;quot;Data Business&amp;quot; at the Fraunhofer Institute for Software and Systems Engineering in Dortmund, Germany. He leads research projects and is active in several related advisory boards. His main research focuses on the topics of data engineering and data management, alongside on the valuation of data assets especially within data ecosystems. Before his time at Fraunhofer, he worked as IT-Professional and Software Engineer from 2008 to 2016. He obtained his Bachelor and Master of Science degree in the field of information systems with a focus on IT Management at the FOM University of Applied Sciences in Essen.&lt;/div&gt;</style></custom2><custom3><style face="normal" font="default" size="100%">&lt;div&gt;German Economic Institute&lt;/div&gt;&lt;div&gt;Since 2017 Dr. Henry Goecke has been head of the Research Group &amp;quot;Big Data Analytics&amp;quot; at the German Economic Institute. Previously he worked at the German Economic Institute as scientific assistant of the Director, at the IW Consult as Senior Economist, at the TU Dortmund University as research and teaching assistant as well as lecturer at the University of Cologne and the Hochschule Fresenius. He studied Economics at the TU Dortmund University, Strathclyde University of Glasgow, and the Leuphana University of Lüneburg. His research interests are on the impact of social media, artificial intelligence, big data, and data economy.&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%">Hanne Melin</style></author><author><style face="normal" font="default" size="100%">Samuel Laurinkari</style></author><author><style face="normal" font="default" size="100%">Taina Tukiainen</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Q&amp;A. How Can Online Platforms Contribute to Smarter and More Prosperous Regions in Europe?</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%">digital economy</style></keyword><keyword><style  face="normal" font="default" size="100%">e-commerce</style></keyword><keyword><style  face="normal" font="default" size="100%">online marketplaces</style></keyword><keyword><style  face="normal" font="default" size="100%">online platforms</style></keyword><keyword><style  face="normal" font="default" size="100%">regional integration</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">12/2016</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/1042</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%">6</style></volume><pages><style face="normal" font="default" size="100%">61-66</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">12</style></issue><custom1><style face="normal" font="default" size="100%">eBay
Hanne Melin is Director of Global Public Policy at eBay, where she leads eBay’s Public Policy Lab for the Europe, MiddleEast, and Africa region (http://www.ebaymainstreet.com/lab). Hanne is also a member of the European Commission’s Strategic Policy Forum on Digital Entrepreneurship, and she represents eBay as a member of the World Customs Organization’s Private Sector Consultative Group. Before joining eBay, Hanne was an associate at the law firm Sidley Austin LLP based in Brussels, where she practised competition law for five years. Hanne holds a Master's degree in International Business Law from King’s College London, she is a guest lecturer at the law faculty of Lund University (Sweden), and is a frequent speaker and writer on the topic of online commerce and trade policy. </style></custom1><custom2><style face="normal" font="default" size="100%">eBay
Samuel Laurinkari is Senior Manager of Government Relations at eBay, heading up the company's work on EU policies impacting eBay and its users, such as e-Commerce legislation, online platform policy, consumer policy, competition policy, and cross-border trade policy. Prior to joining eBay, Samuel worked in government relations for LVMH Moët Hennessy Louis Vuitton and as a consultant for FTI Consulting. Samuel grew up in Finland and Germany and studied European law at Maastricht University in the Netherlands.</style></custom2><custom3><style face="normal" font="default" size="100%">Aalto University
Taina Tukiainen is a Senior Researcher at Aalto University in Espoo, Finland, and she is a Cabinet Member of the President of the EU Committee of the Regions (CoR). She has worked for over 20 years within industry and universities and for over 10 years at Nokia Corporation as a senior manager, and she has worked on various projects with international university and industry collaboration. She was, until 2014, Director of Digibusiness Finland. Her research interest is strategic research including innovation, technology management, and entrepreneurship. Taina's doctoral dissertation was &lt;em&gt;The Unexpected Benefits of Internal Corporate Ventures: An Empirical Examination of the Consequences of Investment in Corporate Ventures&lt;/em&gt; (2004), and the title of her latest book was &lt;em&gt;The Finnish Startups in Globally Evolving Ecosystems: Value for Finland&lt;/em&gt; (2014). </style></custom3></record></records></xml>