<?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%">Petra Kugler</style></author><author><style face="normal" font="default" size="100%">Thomas Plank</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Coping with the Double-Edged Sword of Data Sharing in Ecosystems</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%">Big Data Analytics Capabilities</style></keyword><keyword><style  face="normal" font="default" size="100%">competitive advantage</style></keyword><keyword><style  face="normal" font="default" size="100%">data sharing</style></keyword><keyword><style  face="normal" font="default" size="100%">ecosystem</style></keyword><keyword><style  face="normal" font="default" size="100%">Resource-Based View</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%">12/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">timreview.ca/article/1470</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%">5-16</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Researchers and practitioners agree upon the huge potential of Big Data Analytics (BDA) for firms' competitive advantage. Capitalizing on Big Data (BD) often requires sharing firms' data with their stakeholders in an ecosystem. Sharing data, however, is a double-edged sword, because firms might also risk losing their competitive advantage by doing so. This conceptual paper uses extant literature on data analytics to introduce a comprehensive data sharing strategy framework that helps firms decide which data can be shared in an ecosystem, which should be kept secret, or if additional rules and regulations are required for sharing the data. The framework combines two distinct categorizations of data, and it relates the data categories to firms' strategic competitive advantage by employing the Resource-Based View (RBV). Firstly, the framework is grounded in the stages of the data analytics process and secondly, it distinguishes between operative, strategic and monetizable data, a new categorization introduced by this paper. Depending on the categories of data a company intends to share, the framework recommends five distinct data sharing strategies that help mitigating the risk of losing their competitive advantage.</style></abstract><issue><style face="normal" font="default" size="100%">11-12</style></issue><custom1><style face="normal" font="default" size="100%">Eastern Switzerland University of Applied Sciences
Petra Kugler is a Professor of Strategy and Management at OST ― Eastern Switzerland University of Applied Sciences, Switzerland. Her research focuses on the intersection of innovation, strategy, and management, and how firms can generate and protect sustainable competitive advantages in turbulent times. She obtained her PhD from the University of St. Gallen (HSG), has also worked in advertising, and has gained international academic experience through various scholarships, among others a Swiss National Science Foundation Grant for a research year at the University of California, Berkeley.

</style></custom1><custom2><style face="normal" font="default" size="100%">Tributech Solutions GmbH
Thomas Plank is CEO &amp; Co-Founder of Tributech Solutions GmbH headquartered in Linz, Austria. He focuses on the transformation of data to corporate assets and how these assets are managed in the future. He is a Certified Risk Manager and holds a Masters’ degree in Controlling, Accounting, and Financial Management of the University of Applied Sciences Upper Austria.
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