<?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%">Abdulla Aweisi</style></author><author><style face="normal" font="default" size="100%">Daman Arora</style></author><author><style face="normal" font="default" size="100%">Renée Emby</style></author><author><style face="normal" font="default" size="100%">Madiha Rehman</style></author><author><style face="normal" font="default" size="100%">George Tanev</style></author><author><style face="normal" font="default" size="100%">Stoyan Tanev</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Using Web Text Analytics to Categorize the Business Focus  of Innovative Digital Health Companies</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 health sector</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning</style></keyword><keyword><style  face="normal" font="default" size="100%">Market offer</style></keyword><keyword><style  face="normal" font="default" size="100%">topic modeling algorithm</style></keyword><keyword><style  face="normal" font="default" size="100%">value proposition</style></keyword><keyword><style  face="normal" font="default" size="100%">web analytics</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%">10/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">timreview.ca/article/1457</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%">65-78</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Categorizing the market focus of larger samples of companies can be a tedious and time-consuming process for both researchers and business analysts interested in developing insights about emerging business sectors. The objective of this article is to suggest a text analytics approach to categorizing the application areas of companies operating in the digital health sector based on the information provided on their websites. More specifically, we apply topic modeling on a collection of text documents, including information collected from the websites of a sample of 100 innovative digital health companies. The topic model helps in grouping the companies offering similar types of market offers. It enables identifying the companies that are most highly associated with each of the topics. In addition, it allows identifying some of the emerging themes that are discussed online by the companies, as well as their specific market offers. The results will be of interest to inspiring technology entrepreneurs, organizations supporting new ventures, and business accelerators interested to enhance their services to new venture clients. The development, operationalization, and automation of the company categorization process based on publicly available information is a methodological contribution that opens the opportunity for future applications in research and business practice.</style></abstract><issue><style face="normal" font="default" size="100%">7/8</style></issue><custom1><style face="normal" font="default" size="100%">TechBrew Robotics
Abdulla Aweisi, MEnt, B.Sc., currently is working as IT Manager with TechBrew Robotics, Salmon Arm, BC, Canada. Abdulla has more than 15 years of experience in the Information Technology field, with a demonstrated history of working in the Building Materials Manufacturing \ Retail industry. Skilled in IT Digital &amp; Business Transformation, Business Processes re-engineering, ERP Implementations, and IT Strategy. Passionate about Business Intelligence, Data Science, and Entrepreneurial Ecosystems. Holding a B.Sc. in Computer Science (2006) from Princess Sumaya University for Technology (PSUT), Amman, Jordan, and Masters of Entrepreneurship, Technology Innovation Management (TIM) (2021) from Sprott School of Business, Carleton University, Ottawa, ON, Canada. 

</style></custom1><custom2><style face="normal" font="default" size="100%">Carleton University 
Daman Arora, is a Software Engineer, currently working towards a Master of Applied Business Analytics degree in TIM Program at Carleton University, Ottawa, ON, Canada. Prior to that, Daman studied Computer Systems Technician program (2017, Algonquin College, Ottawa, ON, Canada) and worked as an Intern as well as a Full Time Software Engineer in the Cloud and Cognitive Support business unit of IBM Canada. Daman has a keen interest in the field of Cloud Computing, DevOps, Data Analytics, &amp; Machine Learning. Daman also enjoys contributing to Open Source projects and has made significant code, and non-code contributions to various projects, notably, Kubernetes, TrinoDB, &amp; Apache CloudStack. Daman Arora is member of the Inaugural Class of Community Advocates at Ambassador Labs for the period of 2021-2022. Daman is continuing his education at York University, where he is pursuing a Certificate in DevOps (2021). </style></custom2><custom3><style face="normal" font="default" size="100%">Shared Services Canada
Renée Emby, B.A, MABA, is a Technical Advisor with Shared Services Canada, Ottawa, ON, Canada. Renée currently leads a team of employees as they deliver Information Management and Information Technology services to Canadians and the Government of Canada. Before working with Shared Services Canada, Renée was employed with Canada Border Services Agency where she worked in business analytics pertaining to national and international security. Renée began her academic journey at Carleton University where she obtained an undergraduate degree in Business Law (2020) and a Masters of Applied Business Analytics (2021). Renée is continuing her education at the University of Ottawa, where she is pursing a Certificate in Business Process Improvement (2021). Renée’s experience and interests pertain to national security, security of information, data analytics, service management and delivery.  </style></custom3><custom4><style face="normal" font="default" size="100%">Carleton University
Madiha Rehman holds a master’s degree (2021) in Business Analytics from the Technology Innovation Management Program at Carleton University, Ottawa, ON, Canada. Before that Madiha did her Honors in Bachelor of Computer Science (2002). Madiha is currently working as a Technical Support Engineer and a Business Development Representative. Madiha is a tech-savvy professional skilled in many areas as an analyst, technical support provider, customer support and success and business development. </style></custom4><custom5><style face="normal" font="default" size="100%">Export Development Canada
George Tanev, MSc, MEng, is a Product Owner at Export Development Canada in Ottawa, ON, Canada. He works in innovating and developing knowledge based solutions to support Canadian companies go and grow global. George's background spans multiple interdisciplinary fields including systems engineering, medical device research and development, and  entrepreneurship. George's academic backround includes a BEng in Biomedical and Electrical Engineering (Carleton University, 2008), a MEng in Medicine and Technology (Technical University of Denmark, 2012), and a MSc in Technology Innovation Management (Carleton University, 2021). George's research interests include applied business analytics, medical technologies, product innovation and cybersecurity.</style></custom5><custom6><style face="normal" font="default" size="100%">Carleton University
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). Stoyan 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></custom6><section><style face="normal" font="default" size="100%">65</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%">Chris McPhee</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Editorial: Insights (October 2018)</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%">customer foresight</style></keyword><keyword><style  face="normal" font="default" size="100%">data analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">data mining</style></keyword><keyword><style  face="normal" font="default" size="100%">design thinking</style></keyword><keyword><style  face="normal" font="default" size="100%">digital platforms</style></keyword><keyword><style  face="normal" font="default" size="100%">industry–academia collaboration</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning</style></keyword><keyword><style  face="normal" font="default" size="100%">market entry</style></keyword><keyword><style  face="normal" font="default" size="100%">Open innovation</style></keyword><keyword><style  face="normal" font="default" size="100%">service design</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%">10/2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://timreview.ca/article/1188</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%">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%">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></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%">Michael Neubert</style></author><author><style face="normal" font="default" size="100%">Augustinus Van der Krogt</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Impact of Business Intelligence Solutions on Export Performance of Software Firms in Emerging 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%">business intelligence</style></keyword><keyword><style  face="normal" font="default" size="100%">emerging markets</style></keyword><keyword><style  face="normal" font="default" size="100%">global marketing</style></keyword><keyword><style  face="normal" font="default" size="100%">international business</style></keyword><keyword><style  face="normal" font="default" size="100%">international entrepreneurship</style></keyword><keyword><style  face="normal" font="default" size="100%">international management</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning</style></keyword><keyword><style  face="normal" font="default" size="100%">Paraguay</style></keyword><keyword><style  face="normal" font="default" size="100%">software industry</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%">09/2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://timreview.ca/article/1185</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%">39-49</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The article is written with the aim of understanding how well software firms in emerging economies perform when exporting their goods. Focusing on Paraguay as a representative context, a multiple-case-study research design was adopted using different sources of evidence, including 15 in-depth interviews with founders, shareholders, and CEOs. The data were analyzed using grounded theory in order to develop patterns and categories, and to understand differences and regularities. The revised Uppsala internationalization process model was used as a theoretical framework. This article highlights the experts’ views of the impact of business intelligence on the export performance of software firms in Paraguay. Although only a few of the interviewees currently use business intelligence solutions to support international strategic decision-making processes, most of them reveal a desire to use them because they expect it will have a positive impact on export performance and international competitiveness. The main factors for selecting a business intelligence solution are transparency of cost and benefits, excellent client service, and an attractive pricing model. The study results apply to all stakeholders who support the impact of business intelligence systems on the export performance of software firms in emerging economies. The article fulfils an identified need and call for research to study the use and impact of business intelligence on the way an emerging country’s exportation of goods actually performs, and the ability of its software firms to globalize successfully.</style></abstract><issue><style face="normal" font="default" size="100%">9</style></issue><custom1><style face="normal" font="default" size="100%">International School of Management
Michael Neubert is a Professor at the International School of Management in Paris, France, where he obtained his PhD and is now also Chair of the Strategic Management Committee. He teaches international business, intercultural communication, doing business in foreign markets, and international finance. His research interests concern the internationalization of high-tech startups. Michael is a member of the Academy of International Business, and he is a partner of a private equity firm that invests in high-tech startups and supports them in the development of new foreign markets. Michael is also the CEO of &lt;a href=&quot;http://www.c2nm.com/&quot; target=&quot;_blank&quot;&gt;C2NM&lt;/a&gt;, a Swiss consulting firm specializing in the field of international and intercultural management.
</style></custom1><custom2><style face="normal" font="default" size="100%">Universidad Paraguayo Alemana
Augustinus (Stijn) Van Der Krogt is the Dean of the Faculty of Business Administration at the Universidad Paraguayo Alemana in San Lorenzo, Paraguay. He is also a Director of the consulting firm Changing Values International, which accompanies private and public organizations in their process of change by providing tailor-made strategic advice and executive training and coaching. 
</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%">Michael Neubert</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">The Impact of Digitalization on the Speed of Internationalization of Lean Global Startups</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%">big data analytics</style></keyword><keyword><style  face="normal" font="default" size="100%">digitalization</style></keyword><keyword><style  face="normal" font="default" size="100%">global marketing</style></keyword><keyword><style  face="normal" font="default" size="100%">international business</style></keyword><keyword><style  face="normal" font="default" size="100%">international business development</style></keyword><keyword><style  face="normal" font="default" size="100%">international entrepreneurship</style></keyword><keyword><style  face="normal" font="default" size="100%">international management</style></keyword><keyword><style  face="normal" font="default" size="100%">lean global startup</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning</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%">05/2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/1158</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%">44-54</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Lean global startups need to internationalize early and fast. The digitalization of new foreign market development helps them to more efficiently identify new market opportunities in global markets. With this approach, they are saving resources while developing the most attractive markets. This article examines how lean global startups develop new foreign markets more rapidly due to digitalization. Thus, the aim is to understand the impact of digitalization on speed of internationalization of lean global startups. The study addresses a gap in the scholarly literature and a practical need to evaluate new foreign markets and business opportunities more quickly and more regularly and to understand what helps lean global startups react more quickly to opportunities and threats with respect to changing market attractiveness. Furthermore, it outlines why and how digitalization is important throughout the internationalization process. The research followed a multiple case-study design using different sources of evidence, including 73 interviews with senior managers of lean global startups. The findings reveal that digitalization allows lean global startups to increase decision-making efficiency and to optimize strategies and processes for evaluating international markets. The findings suggest that lean global startups can benefit from the use of digital technologies by applying a more efficient foreign market development process with regular reviews and a reduced workflow, by faster mediation between local market realities and strategic goals, by analyzing all foreign markets instead of just a sample of them, and by optimizing decision-making processes including the ability to make long-term, strategic decisions due to better market information. </style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><custom1><style face="normal" font="default" size="100%">International School of Management
Michael Neubert is a Professor at the International School of Management in Paris, France, where he obtained his PhD and is now also Chair of the Strategic Management Committee. He teaches international business, intercultural communication, doing business in foreign markets, and international finance. His research interests concern the internationalization of high-tech startups. Michael is a member of the Academy of International Business, and he is a partner of a private equity firm that invests in high-tech startups and supports them in the development of new foreign markets. Michael is also the CEO of &lt;a href=&quot;http://www.c2nm.com&quot; target=&quot;_blank&quot;&gt;C2NM&lt;/a&gt;, a Swiss consulting firm specializing in the field of international and intercultural management.</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%">Daniel Gentner</style></author><author><style face="normal" font="default" size="100%">Birgit Stelzer</style></author><author><style face="normal" font="default" size="100%">Bujar Ramosaj</style></author><author><style face="normal" font="default" size="100%">Leo Brecht</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Strategic Foresight of Future B2B Customer Opportunities through Machine Learning</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%">action research</style></keyword><keyword><style  face="normal" font="default" size="100%">B2B industries</style></keyword><keyword><style  face="normal" font="default" size="100%">customer base analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">customer foresight</style></keyword><keyword><style  face="normal" font="default" size="100%">customer knowledge</style></keyword><keyword><style  face="normal" font="default" size="100%">customer profile</style></keyword><keyword><style  face="normal" font="default" size="100%">data mining</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning</style></keyword><keyword><style  face="normal" font="default" size="100%">strategic foresight</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%">10/2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://timreview.ca/article/1189</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%">5-17</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Within the strategic foresight literature, customer foresight still shows a low capability level. In practice, especially in business-to-business (B2B) industries, analyzing an entire customer base in terms of future customer potential is often done manually. Therefore, we present a single case study based on a quantitative customer-foresight project conducted by a manufacturing company. Along with a common data mining process, we highlight the application of machine learning algorithms on an entire customer database that consists of customer and product-related data. The overall benefit of our research is threefold. The major result is a prioritization of 2,300 worldwide customers according to their predicted technical affinity and suitability for a new machine control sensor. Thus, the company gains market knowledge, which addresses management functions such as product management. Furthermore, we describe the necessary requirements and steps for practitioners who realize a customer-foresight project. Finally, we provide a detailed catalogue of measures suitable for sales in order to approach the identified high-potential customers according to their individual needs and behaviour. </style></abstract><issue><style face="normal" font="default" size="100%">10</style></issue><custom1><style face="normal" font="default" size="100%">Ulm University
Daniel Gentner is a Junior Research Fellow at the Institute of Technology and Process Management at Ulm University in Germany. His research focuses on product management in B2B industries and especially on customer analytics methods and applications. Additionally, he works at iTOP.Partners GmbH as consultant and trainer for B2B product management, for example in the Center of Excellence in Global Product Management (CE ProMM). There, he supports the experience and knowledge transfer to practitioners on processes, techniques, roles, responsibilities, and tasks of product management in globally acting German and Swiss B2B companies. Daniel studied Business Administration at Ulm University and the University of Connecticut and holds a Master of Science degree from Ulm University. During his studies, he worked as a Student Research Assistant at Ulm University and as a student trainee in different companies (B2B and B2C). </style></custom1><custom2><style face="normal" font="default" size="100%">Ulm University
Birgit Stelzer is a Senior Research Fellow of the Institute of Technology and Process Management at Ulm University in Germany, where she is also Head of the Department of Didactics. She has a diploma and a PhD in Management Science. She also works as a consultant and trainer for B2B companies on foresight topics, agile project management, and organizational transformation. Her research focuses mainly on foresight issues and business model innovation. She also lectures at several institutions in Europe, including the University of Antwerp and Steinbeis University Berlin.</style></custom2><custom3><style face="normal" font="default" size="100%">Ulm University
Bujar Ramosaj is a PhD Candidate at the Institute of Technology and Process Management at Ulm University in Germany, where he holds a Master’s degree in Business Administration with a focus on Technology Management. His research focuses on the financial evaluation of emerging technologies and the assessment of their potential to gain greater value in technology-related M&amp;A activities. In addition, he works for ITOP.Partners GmbH as a technology management consultant, where he identifies, analyzes, and evaluates technologies and technology strategies.</style></custom3><custom4><style face="normal" font="default" size="100%">University of Liechtenstein
Leo Brecht is a Full Professor of Entrepreneurship and Technology at the University of Liechtenstein, where he researches in innovation, technology, and product management, mainly based on analytics. He joined the University of Liechtenstein in October 2018; previously, he was a Professor at Ulm University, Germany. Leo is the author of several books and the founder of two start-up companies.</style></custom4></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%">Dan Craigen</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Editorial: Cybersecurity (February 2016)</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%">cybersecurity</style></keyword><keyword><style  face="normal" font="default" size="100%">intrusion</style></keyword><keyword><style  face="normal" font="default" size="100%">licensing</style></keyword><keyword><style  face="normal" font="default" size="100%">literature reviews</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning</style></keyword><keyword><style  face="normal" font="default" size="100%">malware</style></keyword><keyword><style  face="normal" font="default" size="100%">multisided platforms</style></keyword><keyword><style  face="normal" font="default" size="100%">new domains</style></keyword><keyword><style  face="normal" font="default" size="100%">open source</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%">02/2016</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/962</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%">3-4</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">2</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 over 15 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%">Communications Security Establishment
Dan Craigen is a Science Advisor at the Communications Security Establishment in Canada and a Visiting Scholar in the Technology Innovation Management Program at Carleton University in Ottawa, Canada. Previously, he was President of ORA Canada, a company that focused on High Assurance/Formal Methods and distributed its technology to over 60 countries. His research interests include formal methods, the science of cybersecurity, and technology transfer. He was the chair of two NATO research task groups pertaining to validation, verification, and certification of embedded systems and high-assurance technologies. He received his BScH and MSc degrees in Mathematics from Carleton University.</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%">Tony Bailetti</style></author><author><style face="normal" font="default" size="100%">Mahmoud Gad</style></author><author><style face="normal" font="default" size="100%">Ahmed Shah</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Intrusion Learning: An Overview of an Emergent Discipline</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%">adversarial learning</style></keyword><keyword><style  face="normal" font="default" size="100%">clustering</style></keyword><keyword><style  face="normal" font="default" size="100%">cybersecurity</style></keyword><keyword><style  face="normal" font="default" size="100%">enterprise</style></keyword><keyword><style  face="normal" font="default" size="100%">intrusion detection</style></keyword><keyword><style  face="normal" font="default" size="100%">intrusion learning</style></keyword><keyword><style  face="normal" font="default" size="100%">learning algorithms</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning</style></keyword><keyword><style  face="normal" font="default" size="100%">real-time analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">resiliency</style></keyword><keyword><style  face="normal" font="default" size="100%">security</style></keyword><keyword><style  face="normal" font="default" size="100%">streaming network data</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%">02/2016</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/964</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%">15-20</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The purpose of this article is to provide a definition of intrusion learning, identify its distinctive aspects, and provide recommendations for advancing intrusion learning as a practice domain. The authors define intrusion learning as the collection of online network algorithms that learn from and monitor streaming network data resulting in effective intrusion-detection methods for enabling the security and resiliency of enterprise systems. The network algorithms build on advances in cyber-defensive and cyber-offensive capabilities. Intrusion learning is an emerging domain that draws from machine learning, intrusion detection, and streaming network data. Intrusion learning offers to significantly enhance enterprise security and resiliency through augmented perimeter defense and may mitigate increasing threats facing enterprise perimeter protection. The article will be of interest to researchers, sponsors, and entrepreneurs interested in enhancing enterprise security and resiliency.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom1><style face="normal" font="default" size="100%">Carleton University
Tony Bailetti is an Associate Professor in the Sprott School of Business and the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada. Professor Bailetti is the Director of Carleton University's Technology Innovation Management (TIM) program. His research, teaching, and community contributions support technology entrepreneurship, regional economic development, and international co-innovation.</style></custom1><custom2><style face="normal" font="default" size="100%">VENUS Cybersecurity Corporation
Mahmoud M. Gad is a Research Associate at VENUS Cybersecurity. He holds a PhD in Electrical and Computer Engineering from the University of Ottawa in Canada. Additionally, he holds an MSc in Electrical and Computer Engineering from the University of Maryland in College Park, United States. His research interests include cybercrime markets, machine learning for intrusion detection, analysis of large-scale networks, and cognitive radio networks.</style></custom2><custom3><style face="normal" font="default" size="100%">Carleton University
Ahmed Shah holds a BEng in Software Engineering and is pursuing an MASc degree in Technology Innovation Management at Carleton University in Ottawa, Canada. Ahmed has experience working in cybersecurity research with the VENUS Cybersecurity Corporation and has experience managing legal deliverables at IBM. </style></custom3></record></records></xml>