<?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: Insights (January 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%">AI</style></keyword><keyword><style  face="normal" font="default" size="100%">artificial intelligence</style></keyword><keyword><style  face="normal" font="default" size="100%">B2B sales</style></keyword><keyword><style  face="normal" font="default" size="100%">big data</style></keyword><keyword><style  face="normal" font="default" size="100%">business-to-business sales</style></keyword><keyword><style  face="normal" font="default" size="100%">data-based value</style></keyword><keyword><style  face="normal" font="default" size="100%">digital solutions</style></keyword><keyword><style  face="normal" font="default" size="100%">ecosystem</style></keyword><keyword><style  face="normal" font="default" size="100%">ecosystems</style></keyword><keyword><style  face="normal" font="default" size="100%">Ethics</style></keyword><keyword><style  face="normal" font="default" size="100%">Gujarat State</style></keyword><keyword><style  face="normal" font="default" size="100%">Indian IT industry</style></keyword><keyword><style  face="normal" font="default" size="100%">innovation</style></keyword><keyword><style  face="normal" font="default" size="100%">IT clusters</style></keyword><keyword><style  face="normal" font="default" size="100%">Knowledge Innovation clusters</style></keyword><keyword><style  face="normal" font="default" size="100%">Networks Analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">regional development</style></keyword><keyword><style  face="normal" font="default" size="100%">Roboethics</style></keyword><keyword><style  face="normal" font="default" size="100%">Smart robot</style></keyword><keyword><style  face="normal" font="default" size="100%">strategy</style></keyword><keyword><style  face="normal" font="default" size="100%">Systematic literature review</style></keyword><keyword><style  face="normal" font="default" size="100%">technology</style></keyword><keyword><style  face="normal" font="default" size="100%">value capture</style></keyword><keyword><style  face="normal" font="default" size="100%">value creation</style></keyword><keyword><style  face="normal" font="default" size="100%">value sales</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%">01/2020</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">timreview.ca/article/1298</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%">3-4</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">1</style></issue><custom1><style face="normal" font="default" size="100%">Technology Innovation Management Review
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.
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).
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.</style></custom1><custom2><style face="normal" font="default" size="100%">Technology Innovation Management Review
Gregory Sandstrom is Managing Editor of the Technology Innovation Management Review. 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's Institute for Applied Mathematics and Systems. Promoter and builder of blockchain distributed ledger technology systems and digital extension services.</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%">Mika Westerlund</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Ethical Framework for Smart Robots</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%">AI</style></keyword><keyword><style  face="normal" font="default" size="100%">artificial intelligence</style></keyword><keyword><style  face="normal" font="default" size="100%">Ethics</style></keyword><keyword><style  face="normal" font="default" size="100%">Roboethics</style></keyword><keyword><style  face="normal" font="default" size="100%">Smart robot</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%">01/2020</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">timreview.ca/article/1312</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%">35-44</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This article focuses on “roboethics” in the age of growing adoption of smart robots, which can now be seen as a new robotic “species”. As autonomous AI systems, they can collaborate with humans and are capable of learning from their operating environment, experiences, and human behaviour feedback in human-machine interaction. This enables smart robots to improve their performance and capabilities. This conceptual article reviews key perspectives to roboethics, as well as establishes a framework to illustrate its main ideas and features. Building on previous literature, roboethics has four major types of implications for smart robots: 1) smart robots as amoral and passive tools, 2) smart robots as recipients of ethical behavior in society, 3) smart robots as moral and active agents, and 4) smart robots as ethical impact-makers in society. The study contributes to current literature by suggesting that there are two underlying ethical and moral dimensions behind these perspectives, namely the “ethical agency of smart robots” and “object of moral judgment”, as well as what this could look like as smart robots become more widespread in society. The article concludes by suggesting how scientists and smart robot designers can benefit from a framework, discussing the limitations of the present study, and proposing avenues for future research.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><custom1><style face="normal" font="default" size="100%">Carleton University
Mika Westerlund, DSc (Econ), is an Associate Professor at Carleton University in Ottawa, Canada. He previously held positions as a Postdoctoral Scholar in the Haas School of Business at the University of California Berkeley and in the School of Economics at Aalto University in Helsinki, Finland. Mika earned his doctoral degree in Marketing from the Helsinki School of Economics in Finland. His research interests include open and user innovation, the Internet of Things, business strategy, and management models in high-tech and service intensive industries.</style></custom1><section><style face="normal" font="default" size="100%">35</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%">Erich Prem</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Artificial Intelligence for Innovation in Austria</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%">AI</style></keyword><keyword><style  face="normal" font="default" size="100%">AI innovation management</style></keyword><keyword><style  face="normal" font="default" size="100%">artificial intelligence</style></keyword><keyword><style  face="normal" font="default" size="100%">Austria</style></keyword><keyword><style  face="normal" font="default" size="100%">innovation</style></keyword><keyword><style  face="normal" font="default" size="100%">SME</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%">12/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">timreview.ca/article/1287</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%">5-15</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">It has been claimed that Artificial Intelligence (AI) carries enormous potential for service and product innovation. Policy makers world-wide nowadays aim to foster environments conducive for AI-based innovation. This paper addresses the current lack of empirical data for evidence-based innovation policies and the management of AI-based innovation. It focuses on &amp;ldquo;AI and innovation management&amp;rdquo; in addressing the question whether innovation that is based on new AI technology requires a management approach different from other forms of IT innovation. We present results from a study of Austrian companies on the degree of use and implementation of AI, and on challenges related to AI-based innovation management. This study used a keyword-list approach to define &amp;ldquo;Artificial Intelligence&amp;rdquo; and to find AI-based innovation projects in research databases. These projects facilitated the identification of experts from organisations developing AI-based innovation. In total, eleven experts were interviewed about their AI-based innovation activities. The results show that AI is a very fast emerging technology that is being applied in many sectors. A broad range of innovative solutions are being developed and some have already reached the market. Specific AI business models are, however, less clear and still developing. Companies are facing multiple challenges from regulation to human resources and data collection. Managing AI-based innovation will be particularly difficult for smaller enterprises, where problems are often more pronounced than in larger industries. Explicit challenges for managing AI-based innovations include the necessary attention to managing expectations and ensuring historic metadata expertise essential for many AI-based solutions. Policies to support AI-based innovation therefore should focus on human aspects. This includes increasing the availability of AI experts, but also concerns the development of new job profiles, such as experts in AI training. AI innovators also require clear AI regulation and research investments in key challenges, such as explainable AI.</style></abstract><issue><style face="normal" font="default" size="100%">12</style></issue><custom1><style face="normal" font="default" size="100%">eutema gmbH
Dr. Erich Prem is chief RTI strategy advisor and CEO of eutema GmbH. He is an expert in international research and innovation management with a focus on information technology. Erich Prem is a certified managerial economist and works scientifically in artificial intelligence, research politics, innovation research, and epistemology. He has published more than 70 scientific articles and was a guest researcher at the Massachusetts Institute of Technology. He received his Dr. phil. (epistemology) from the University of Vienna, and his Dr. tech. (computer science) from TU Vienna, where he also completed his master’s in computer science (Dipl. Ing). He received his MBA in General Management from Donau University. He is a lecturer at TU Vienna’s Informatics Innovation Center. </style></custom1><section><style face="normal" font="default" size="100%">5</style></section></record></records></xml>