<?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%">Petra Kugler</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Approaching a Data-Dominant Logic</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%">Data science</style></keyword><keyword><style  face="normal" font="default" size="100%">data-dominant logic</style></keyword><keyword><style  face="normal" font="default" size="100%">dominant logic</style></keyword><keyword><style  face="normal" font="default" size="100%">empirical study</style></keyword><keyword><style  face="normal" font="default" size="100%">organizational and managerial requirements</style></keyword><keyword><style  face="normal" font="default" size="100%">SMEs</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2020</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">timreview.ca/article/1393</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%">10</style></volume><pages><style face="normal" font="default" size="100%">16-28</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This paper introduces the construct of &quot;data-dominant logic&quot;. The findings of a multi-step exploratory study indicate that SME have an established mindset (dominant logic) that often hinders these firms from turning data in innovative products, services, and business models. The availability of large amounts of data and the use of this data through data science-driven practices has reached a stage when it now enables new and promising possibilities for firms to innovate. However, the actual use of data and data science insights has proven to be difficult for many companies. The firms under consideration in this paper recognize that the availability of data fundamentally changes their businesses. But also, they lack the appropriate culture, mindset, and business repertoire that would enable them to act by turning data into innovation. The paper concludes that firms first need to establish a new mindset in which data plays a central role. Here I term this mindset &quot;data-dominant logic&quot; (DDL). Future research is required to further concretize the construct beyond this introduction.</style></abstract><issue><style face="normal" font="default" size="100%">10</style></issue><custom1><style face="normal" font="default" size="100%">Eastern Switzerland University of Applied Sciences
Petra Kugler is a Professor of Strategy and Management at OST ― Eastern Switzerland University of Applied Sciences, Switzerland. Her research focuses on the intersection of innovation, strategy and management, and how firms can generate and protect sustainable competitive advantages in turbulent times. She is especially interested in strategic innovation, management innovation, technology, and the contradictory nature of innovation and coordination in organizations. She obtained her PhD from the University of St. Gallen (HSG), has also worked in advertising, and has gained international academic experience through various scholarships, among others a Swiss National Science Foundation Grant for a research year at the University of California, Berkeley.</style></custom1><section><style face="normal" font="default" size="100%">16</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%">Editorial: Insights (October 2020)</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%">Advanced Analytics</style></keyword><keyword><style  face="normal" font="default" size="100%">AI maturity. Data science</style></keyword><keyword><style  face="normal" font="default" size="100%">AI value chain</style></keyword><keyword><style  face="normal" font="default" size="100%">AI-driven platform innovation</style></keyword><keyword><style  face="normal" font="default" size="100%">Artificial Intelligence (AI)</style></keyword><keyword><style  face="normal" font="default" size="100%">big data</style></keyword><keyword><style  face="normal" font="default" size="100%">business decision-making</style></keyword><keyword><style  face="normal" font="default" size="100%">business model components</style></keyword><keyword><style  face="normal" font="default" size="100%">business models</style></keyword><keyword><style  face="normal" font="default" size="100%">content analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">data-dominant logic</style></keyword><keyword><style  face="normal" font="default" size="100%">dominant logic</style></keyword><keyword><style  face="normal" font="default" size="100%">empirical study</style></keyword><keyword><style  face="normal" font="default" size="100%">enterprise platform</style></keyword><keyword><style  face="normal" font="default" size="100%">industries</style></keyword><keyword><style  face="normal" font="default" size="100%">online communication</style></keyword><keyword><style  face="normal" font="default" size="100%">online data collection</style></keyword><keyword><style  face="normal" font="default" size="100%">organizational and managerial requirements</style></keyword><keyword><style  face="normal" font="default" size="100%">principal component analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">R&amp;D</style></keyword><keyword><style  face="normal" font="default" size="100%">research and development</style></keyword><keyword><style  face="normal" font="default" size="100%">secondary data. Sustainability</style></keyword><keyword><style  face="normal" font="default" size="100%">SMEs. Disruptive innovation</style></keyword><keyword><style  face="normal" font="default" size="100%">sustainable innovation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2020</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">timreview.ca/article/1396</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%">10</style></volume><pages><style face="normal" font="default" size="100%">3-3</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%">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. He completed a PhD from the Faculty of Sociology at St. Petersburg State University and the Sociological Institute of the Russian Academy of Sciences, 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, as well as previously at the Autonomous National University of Mexico's Institute for Applied Mathematics and Systems (2010-2011). He was affiliated with 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%">3</style></section></record></records></xml>