<?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%">Sten Grahn</style></author><author><style face="normal" font="default" size="100%">Anna Granlund</style></author><author><style face="normal" font="default" size="100%">Erik Lindhult</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Barriers to Value Specification when Carrying out Digitalization Projects</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%">automation</style></keyword><keyword><style  face="normal" font="default" size="100%">digitalization</style></keyword><keyword><style  face="normal" font="default" size="100%">effectiveness</style></keyword><keyword><style  face="normal" font="default" size="100%">resource-efficiency</style></keyword><keyword><style  face="normal" font="default" size="100%">Value specification</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%">05/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">timreview.ca/article/1442</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%">54-64</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">If digitalization projects aim to effectively create value for a company, one precondition is having a shared view among company staff and project members of what the &quot;desirable&quot; value is. However, it has been shown that few companies fully understand the value that digitalization projects can create for them, while many companies still launch digitalization projects without having gained much understanding. This contributes to the current &quot;alarmingly&quot; low success rate for digitalization projects. Developing effective methods to specify the desired values of digitalization projects has hence become important. One step in developing improved specification methods is to ask what the possible barriers are to improving current value specification practices. The purpose of the current study is to address this. We analyzed several digitalization projects regarding how specifications of desired project value were carried out, finding that very limited resources are spent on specifying desired values in digitalization projects, this limits project success. Likewise, there are several barriers to increasing resources for specifying desired values. Our findings contribute to understanding the development of value specification methods that aim to overcome these barriers and thus could help improve the success rate of digitalization projects.</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><custom1><style face="normal" font="default" size="100%">Mälardalen University
Sten Grahn has several years of experience in the manufacturing and energy industries, including several leading industrial roles and responsibilities. He currently holds a position as senior lecturer at the Division of Product Realization, Mälardalen University. He also holds a position as a researcher for RISE IVF AB. His main research interests concern system optimization and automation, especially identifying how resource efficiency efforts should be balanced to generate environmentally sustainable business, as well as long-term profits. </style></custom1><custom2><style face="normal" font="default" size="100%">Mälardalen University
Anna Granlund holds a position as senior lecturer at the Division of Product Realization, Mälardalen University. Her research interests are in the area of production development, specifically technology development in the manufacturing industry. Her research mainly addresses strategy and organizational aspects of technology development, as well as coordinating production and technology development in IMNs. She has thirteen years of experience coproducing research projects in the areas of automation development and managing production development in IMNs.</style></custom2><custom3><style face="normal" font="default" size="100%">Mälardalen University
Erik Lindhult holds a position as senior lecturer at the Division of Innovation Management, Mälardalen University, Sweden. His main area of research is service innovation, systemic innovation, and value-driven innovation. He has been engaged in research, education, and with the international research community for several decades on participatory, collaborative, and democratic approaches to action research and innovation, as well as entrepreneurship for sustainable social development.</style></custom3><section><style face="normal" font="default" size="100%">54</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%">Kelly Bronson</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Smart Farming: Including Rights Holders for Responsible Agricultural Innovation</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%">agriculture</style></keyword><keyword><style  face="normal" font="default" size="100%">automation</style></keyword><keyword><style  face="normal" font="default" size="100%">big data</style></keyword><keyword><style  face="normal" font="default" size="100%">machine intelligence</style></keyword><keyword><style  face="normal" font="default" size="100%">power</style></keyword><keyword><style  face="normal" font="default" size="100%">responsible innovation</style></keyword><keyword><style  face="normal" font="default" size="100%">smart agriculture</style></keyword><keyword><style  face="normal" font="default" size="100%">technological values</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/1135</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%">7-14</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This article draws on the literature of responsible innovation to suggest concrete processes for including rights holders in the “smart” agricultural revolution. It first draws upon historical agricultural research in Canada to highlight how productivist values drove seed innovations with particular consequences for the distribution of power in the food system. Next, the article uses document analysis to suggest that a similar value framework is motivating public investment in smart farming innovations. The article is of interest to smart farming’s decision makers (from farmers to governance actors) and a broader audience – anyone interested in engendering equity through innovation-led societal transitions.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom1><style face="normal" font="default" size="100%">University of Ottawa
Kelly Bronson is an Assistant Professor in the Faculty of Social Sciences and the Institute for Science, Society, and Policy at the University of Ottawa, Canada. She is a social scientist studying science–society tensions that erupt around controversial technologies and their governance – from GMOs to big data. Her research aims to bring community values into conversation with technical knowledge in the production of evidence-based decision-making. She has published her work in regional &lt;em&gt;(Journal of New Brunswick Studies),&lt;/em&gt; national &lt;em&gt;(Canadian Journal of Communication),&lt;/em&gt; and international journals &lt;em&gt;(Journal of Responsible Innovation, Big Data and Society).&lt;/em&gt;</style></custom1></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%">Chris McPhee</style></author><author><style face="normal" font="default" size="100%">Michael Weiss</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Editorial: Cybersecurity (April 2017)</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%">anomaly detection</style></keyword><keyword><style  face="normal" font="default" size="100%">automation</style></keyword><keyword><style  face="normal" font="default" size="100%">big data</style></keyword><keyword><style  face="normal" font="default" size="100%">cybersecurity</style></keyword><keyword><style  face="normal" font="default" size="100%">exploration</style></keyword><keyword><style  face="normal" font="default" size="100%">Hypponen’s law</style></keyword><keyword><style  face="normal" font="default" size="100%">Internet of Things</style></keyword><keyword><style  face="normal" font="default" size="100%">IOT</style></keyword><keyword><style  face="normal" font="default" size="100%">legislation</style></keyword><keyword><style  face="normal" font="default" size="100%">medical devices</style></keyword><keyword><style  face="normal" font="default" size="100%">privacy</style></keyword><keyword><style  face="normal" font="default" size="100%">real time</style></keyword><keyword><style  face="normal" font="default" size="100%">risk assessment</style></keyword><keyword><style  face="normal" font="default" size="100%">security engineering</style></keyword><keyword><style  face="normal" font="default" size="100%">smart devices</style></keyword><keyword><style  face="normal" font="default" size="100%">value proposition</style></keyword><keyword><style  face="normal" font="default" size="100%">vulnerabilities</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">04/2017</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/1065</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%">7</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%">4</style></issue><custom1><style face="normal" font="default" size="100%">Technology Innovation Management Review
Chris McPhee is Editor-in-Chief of the &lt;em&gt;Technology Innovation Management Review&lt;/em&gt;. Chris holds an MASc degree in Technology Innovation Management from Carleton University in Ottawa, Canada, and BScH and MSc degrees in Biology from Queen's University in Kingston, Canada. He has nearly 20 years of management, design, and content-development experience in Canada and Scotland, primarily in the science, health, and education sectors. As an advisor and editor, he helps entrepreneurs, executives, and researchers develop and express their ideas.</style></custom1><custom2><style face="normal" font="default" size="100%">Carleton University
Michael Weiss holds a faculty appointment in the Department of Systems and Computer Engineering at Carleton University in Ottawa, Canada, and is a member of the Technology Innovation Management program. His research interests include open source, ecosystems, mashups, patterns, and social network analysis. Michael has published on the evolution of open source business, mashups, platforms, and technology entrepreneurship.</style></custom2></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%">Mahsa Emami-Taba</style></author><author><style face="normal" font="default" size="100%">Mehdi Amoui</style></author><author><style face="normal" font="default" size="100%">Ladan Tahvildari</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">On the Road to Holistic Decision Making in Adaptive Security</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%">adaptive security</style></keyword><keyword><style  face="normal" font="default" size="100%">architecture</style></keyword><keyword><style  face="normal" font="default" size="100%">automation</style></keyword><keyword><style  face="normal" font="default" size="100%">cyberattacks</style></keyword><keyword><style  face="normal" font="default" size="100%">cybersecurity</style></keyword><keyword><style  face="normal" font="default" size="100%">game theory</style></keyword><keyword><style  face="normal" font="default" size="100%">holistic decision making</style></keyword><keyword><style  face="normal" font="default" size="100%">self-adaptive software</style></keyword><keyword><style  face="normal" font="default" size="100%">self-protecting software</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2013</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/717</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%">3</style></volume><pages><style face="normal" font="default" size="100%">59-64</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Security is a critical concern in today's software systems. Besides the interconnectivity and dynamic nature of network systems, the increasing complexity in modern software systems amplifies the complexity of IT security. This fact leaves attackers one step ahead in exploiting vulnerabilities and introducing new cyberattacks. The demand for new methodologies in addressing cybersecurity is emphasized by both private and national corporations. A practical solution to dynamically manage the high complexity of IT security is adaptive security, which facilitates analysis of the system's behaviour and hence the prevention of malicious attacks in complex systems. Systems that feature adaptive security detect and mitigate security threats at runtime with little or no administrator involvement. In these systems, decisions at runtime are balanced according to quality and performance goals. This article describes the necessity of holistic decision making in such systems and paves the road to future research.</style></abstract><issue><style face="normal" font="default" size="100%">8</style></issue><custom1><style face="normal" font="default" size="100%">University of Waterloo
Mahsa Emami-Taba received her BEng degree in Computer Engineering from Shahid Beheshty University, Iran, in 2005. She received her MMath degree in Computer Science from the University of Waterloo, Canada, in 2009. After completing her studies, she worked as a software designer and developer. She is currently working toward a PhD degree in the Department of Electrical and Computer Engineering at the University of Waterloo. Her research interests include self-adaptive software systems, adaptive security, and nature-inspired adaptive software.</style></custom1><custom2><style face="normal" font="default" size="100%">University of Waterloo
Mehdi Amoui is a Postdoctoral Fellow at the University of Waterloo, Canada. He currently works as a researcher/consultant on a joint research project with the Software Verification and Validation team at Blackberry Inc., Canada. In 2002, he received his PhD from the University of Waterloo on the topic of an evolving software system for self-adaptation, and in 2006, he received an MASc degree in Artificial Intelligence and Robotics from the University of Tehran. His main research interests include self-adaptive software systems, search-based software engineering, software evolution, and software quality.</style></custom2><custom3><style face="normal" font="default" size="100%">University of Waterloo
Ladan Tahvildari is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, Canada, and she is the founder of the Software Technologies Applied Research (STAR) Laboratory. Together with her research team, she investigates methods, models, architectures, and techniques to develop higher-quality software systems in a cost-effective manner. Her research accomplishments have been recognized by various awards, including the prestigious Ontario Early Researcher Award, which recognized her work in self-adaptive software. She is a Senior Member of the IEEE, a member of the ACM, and a Professional Engineer (PEng).</style></custom3></record></records></xml>