<?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%">Jasmine A. Shaw</style></author><author><style face="normal" font="default" size="100%">Steven M. Muegge</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Ecosystems, Design, and Glocalization: A multi-level study of Technovation</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%">business ecosystems</style></keyword><keyword><style  face="normal" font="default" size="100%">Canada</style></keyword><keyword><style  face="normal" font="default" size="100%">design rules</style></keyword><keyword><style  face="normal" font="default" size="100%">glocalization</style></keyword><keyword><style  face="normal" font="default" size="100%">Mexico</style></keyword><keyword><style  face="normal" font="default" size="100%">multisided platform</style></keyword><keyword><style  face="normal" font="default" size="100%">technology entrepreneurship</style></keyword><keyword><style  face="normal" font="default" size="100%">Technovation</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/1440</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%">32-43</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Business ecosystems are an increasingly prominent organizational form in both management research and practice. A growing body of research exists about ecosystem design, but designing local ecosystem instances within a global ecosystem is not yet well understood or defined. This article contributes a multilevel, embedded case study of the global and local ecosystems anchored around the Technovation Girls competition - the world's largest technology entrepreneurship challenge for girls. We first define the process platform driving this ecosystem and anchoring the local instances. Second, we identify key architectural properties of a global-local ecosystem. Lastly, we specify a process for defining design rules in an organizational setting. In addition to theoretical relevance for ecosystem scholarship, our results are also of practical relevance to leaders of existing or nascent global ecosystems, who may benefit from techniques described in this paper that involve designing a flexible global ecosystem architecture that accommodates local variation.</style></abstract><issue><style face="normal" font="default" size="100%">5</style></issue><custom1><style face="normal" font="default" size="100%">General Dynamics Mission Systems
Jasmine Shaw is a Systems Engineer at General Dynamics Mission Systems - Canada where she designs cutting-edge aerospace technology. She completed a Master of Applied Science in Technology Innovation Management, and her thesis was at the intersection of design, globalization, and business ecosystems, specifically applied to global organizations that empower girls through technology entrepreneurship. As a new entrepreneur, she leverages her expertise in engineering, design, and business ecosystems to help women in STEM achieve their full career potential. She is an active member of the engineering community, serving on the Board of Directors at the Society of Women Engineers - Ottawa, and volunteering for organizations such as Technovation.</style></custom1><custom2><style face="normal" font="default" size="100%">Carleton University 
Dr. Steven Muegge is an Associate Professor of Entrepreneurship at the Sprott School of Business at Carleton University. He teaches, conducts research, and supervises graduate students within Carleton’s Technology Innovation Management (TIM) program, and actively promotes entrepreneurship and innovation within the broader community. Dr. Muegge leads an active research program in technology entrepreneurship and commercialization. One stream of current research examines non-traditional settings for innovation, including interconnected systems of business ecosystems, communities of users and developers, and industry platforms outside the control of any single company. A second stream examines the business models of technology entrepreneurs who create new companies and develop new products and services within these settings. Both streams are directly relevant to promoting economic prosperity for Canada and the National Capital Region, and to building differentiation and advantage for entrepreneurs and their companies.</style></custom2><section><style face="normal" font="default" size="100%">32</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%">Tony Bailetti</style></author><author><style face="normal" font="default" size="100%">Mahmoud Gad</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Examining the Modes Malware Suppliers Use to Provide Goods and 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%">agents</style></keyword><keyword><style  face="normal" font="default" size="100%">customers</style></keyword><keyword><style  face="normal" font="default" size="100%">cybercrime</style></keyword><keyword><style  face="normal" font="default" size="100%">cybersecurity</style></keyword><keyword><style  face="normal" font="default" size="100%">malware</style></keyword><keyword><style  face="normal" font="default" size="100%">modes</style></keyword><keyword><style  face="normal" font="default" size="100%">multisided platform</style></keyword><keyword><style  face="normal" font="default" size="100%">suppliers</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/965</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%">21-27</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Malware suppliers use various modes to provide goods and services to customers. By mode, we mean “the way” the malware supplier chooses to function. These modes increase monetization opportunities and enable many security breaches worldwide. A theoretically sound framework that can be used to examine the various modes that malware suppliers use to produce and sell malware is needed. We apply a general model specified recently by Hagiu and Wright to study five modes that malware suppliers use to deliver goods and services to their customers. The framework presented in this article can be used to predict the mode in which a malware supplier will function; to study which types of malware suppliers, agents, and customers are attracted to each mode; to discover new modes; and to better understand the threat a malware supplier presents.</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 and 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></record></records></xml>