<?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%">Shruti Satsangi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Predicting Ecosystem Alliances Using Landscape Theory</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%">alliance formation</style></keyword><keyword><style  face="normal" font="default" size="100%">business ecosystems</style></keyword><keyword><style  face="normal" font="default" size="100%">coalition forming games</style></keyword><keyword><style  face="normal" font="default" size="100%">coalition prediction</style></keyword><keyword><style  face="normal" font="default" size="100%">landscape theory</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2012</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/597</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%">2</style></volume><pages><style face="normal" font="default" size="100%">31-38</style></pages><abstract><style face="normal" font="default" size="100%">Previous articles in the TIM Review have covered various aspects of the concept of business ecosystems, from the types of ecosystems to keystone strategy, to different member roles and value co-creation. While there is no dearth of suggested best practices that organizations should follow as ecosystem members, it can be difficult to apply these insights into actionable steps for them to take. This is especially true when the ecosystem members already have a prior history of cooperation or competition with each other, as opposed to where a new ecosystem is created.

Landscape theory, a political science approach to predicting coalition formation and strategic alliances, can be a useful complement to ecosystems studies by providing a tool to evaluate the best possible alliance options for an organization, given information about itself and the other companies in the system. As shown in the case study of mobile device manufacturers choosing platform providers in the mobile ecosystem, this tool is highly flexible and customizable, with more data providing a more accurate view of the alliances in the ecosystem. At the same time, with even basic parameters, companies can glean significant information about which coalitions will best serve their interest and overall standing within the ecosystem. 

This article shows the synergies between landscape theory and an ecosystems approach and offers a practical, actionable way in which to analyze individual member benefits.</style></abstract><issue><style face="normal" font="default" size="100%">8</style></issue><custom1><style face="normal" font="default" size="100%">Carleton University
Shruti Satsangi is a recent graduate of the Technology Innovation Management program at Carleton University, in Ottawa, Canada, where she researched coalition and competition within business ecosystems. Her Master’s thesis focused on implementing landscape theory to better explain coalition formation within the mobile ecosystem. Ms. Satsangi received a Bachelor’s in Computer Engineering from the University of Waterloo with specializations in Management Science and Telecommunications. She has extensive experience in the development of large, carrier-grade 4G mobile communication systems. Shruti is currently serving as a committee member for the Innovation and Entrepreneurship track at the Grace Hopper Conference 2012. She is also a member of CU-Women in Science and Engineering, IEEE WiE, and the IEEE Communications Society and an occasional guest blogger for the Anita Borg Institute. </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%">Chulaka Ailapperuma</style></author><author><style face="normal" font="default" size="100%">Senthilkumar Mukunda</style></author><author><style face="normal" font="default" size="100%">Shruti Satsangi</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Q&amp;A. How is social network analysis used in studies of open source?</style></title><secondary-title><style face="normal" font="default" size="100%">Open Source Business Resource</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">02/2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/420</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><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Social network analysis (SNA) can be used to study online communities, including free/libre open source software (F/LOSS) developer teams. SNA techniques provide insight into these communities and enable researchers to make predictions based on these insights. They can be used to model the nature and patterns of interactions that can be used as a predictor of group behaviour, trust, knowledge generation, and information diffusion (Crowston et al., 2010). SNA can also be used make predictions about other kinds of networks other than pure social networks, such as networks based on relationships between code artifacts.

In this article, we answer the question of how SNA has been used to study open source. We begin by describing social networks and how they can be deconstructed to examine the relationships between entities within them. Next, we discuss social networks within F/LOSS communities and describe how SNA gives insights into the various actors and groups acting within networks. Finally, we provide an overview of common SNA measures used to study open source, including examples of how they have been used to provide insights about F/LOSS communities. </style></abstract><issue><style face="normal" font="default" size="100%">July 2010</style></issue><work-type><style face="normal" font="default" size="100%">Q and A</style></work-type><custom1><style face="normal" font="default" size="100%">Carleton University
Chulaka Ailapperuma is Senior Software Developer at Canada Border Services Agency and is a graduate student in the Technology Innovation Management program at Carleton University. Chulaka also holds a Computer Science degree from Carleton University. He has 14 years experience in the computer science industry, working as a consultant for various clients, mostly in government and the telecommunications industry.</style></custom1><custom2><style face="normal" font="default" size="100%">Carleton University
Senthilkumar Mukunda is a graduate student in the Technology Innovation Management program at Carleton University. He has over 4 years experience in Telecommunication and Railway Signaling Domain as embedded software developer. He holds a Bachelor of Engineering degree in Electrical and Electronics from Anna University.</style></custom2><custom3><style face="normal" font="default" size="100%">Carleton University
Shruti Satsangi is a Wireless Engineer for Ericsson. She is also a graduate student in the Technology Innovation Management program at Carleton University, where she is researching coalition and competition within business ecosystems. She is a member of CU-Women in Science and Engineering, IEEE WiE, and the IEEE Communications Society.</style></custom3></record></records></xml>