%0 Journal Article %J Technology Innovation Management Review %D 2020 %T The Effect of Machine Learning on Knowledge-Intensive R&D in the Technology Industry %A Daniel Viberg %A Mohammad H. Eslami %K artificial intelligence %K explicit knowledge %K knowledge integration %K ML %K tacit knowledge %K technological firm %X The impact of such current state-of-the-art technology as machine learning (ML) on organizational knowledge integration is indisputable. This paper synergizes investigations of knowledge integration and ML in technologically advanced and innovative companies, in order to elucidate the value of these approaches to organizational performance. The analyses are based on the premise that, to fully benefit from the latest technological advances, entity interpretation is essential to fully define what has been learned. Findings yielded by a single case study involving one technological firm indicate that tacit and explicit knowledge integration can occur simultaneously using ML, when a data analysis method is applied to transcribe spoken words. Although the main contribution of this study stems from the greater understanding of the applicability of machine learning in organizational contexts, general recommendations for use of this analytical method to facilitate integration of tacit and explicit knowledge are also provided. %B Technology Innovation Management Review %I Talent First Network %C Ottawa %V 10 %P 88-98 %8 03/2020 %G eng %U timreview.ca/article/1340 %N 3 %1 Linköping University Daniel Viberg has a M.Sc in Industrial Engineering and Management and a B.Sc in Mechanical Engineering from Linköping University in Sweden. He has experience in computer science from various spare time projects connected to both commercial and research purposes. %2 Jönköping University Mohammad H. Eslami is an Assistant professor at Jönköping International Business School in Sweden. His research interests are in the field of innovation management and knowledge integration. His research has been published in Industrial Marketing management, Journal of engineering and technology management, international journal of innovation management and etc. %& 88 %R http://doi.org/10.22215/timreview/1340 %0 Journal Article %J Technology Innovation Management Review %D 2016 %T Boundary Objects as Part of Knowledge Integration for Networked Innovation %A Sari Mäenpää %A Anu Helena Suominen %A Rainer Breite %K boundary object %K co-creation network %K cross-learning %K knowledge integration %K networked innovation %X Networked innovation in co-creation networks is not possible without collaborative practices. Especially in complex projects, contextual knowledge is often spread among different stakeholders. To harness this dispersed knowledge for networked innovation, working knowledge management and collaborative practices are needed. This article addresses this need for better understanding and approaches to facilitate knowledge integration for networked innovation. We consider knowledge integration as the ability to put knowledge into action, and networked innovation as the co-created goal-driven output of selected partners. Our study focuses on describing and reporting a cross-learning type of expert knowledge-integration process with boundary objects, concrete or abstract “bridges” for overcoming possible knowledge boundaries, in a co-creation network. This article adds knowledge on networked innovation through knowledge integration with boundary objects. The reported process will help managers to systematically approach problems requiring expert knowledge that does not exist within their own organization and to better integrate knowledge required for innovation within their project networks. %B Technology Innovation Management Review %I Talent First Network %C Ottawa %V 6 %P 25-36 %8 10/2016 %G eng %U http://timreview.ca/article/1025 %N 10 %1 Tampere University of Technology Sari Mäenpää, DrTech, works as a Post-Doctoral Researcher and Project Manager in the area of Industrial and Information Management at the Tampere University of Technology, Finland. She holds a LicSc degree in Logistics, an MSc degree in Industrial Engineering, and a BSc degree in Construction Engineering. Her doctoral thesis focused on managing network relations in project business context. Sari has been working for years in the field of research and education and is especially interested in knowledge integration, relationship quality, and digitalization among manufacturing networks and business ecosystems. Prior to her academic career, she worked several years within the construction industry. %2 Tampere University of Technology Anu Helena Suominen, MScTech, is currently a doctoral student in the area of Industrial and Information Management at Tampere University of Technology, Finland. Her doctoral thesis focuses on inter-organizational network legitimation. Anu has several years of practical working experience in exports in the metal and telecommunications industries. She has also managed both networking and training projects in industry. Her research interests focus on inter-organizational networks and their governance, and innovation, especially from the perspective of knowledge management. %3 Tampere University of Technology Rainer Breite, DrTech, is a Lecturer and Researcher in the area of Industrial and Information Management at Tampere University of Technology, Finland. He has worked in several engineering companies, and his main industrial experience derives from water turbines. Rainer’s research interest is focused on knowledge sharing in supply chains and networks. %R http://doi.org/10.22215/timreview/1025 %0 Journal Article %J Technology Innovation Management Review %D 2016 %T Editorial: Insights (October 2016) %A Chris McPhee %K boundary objects %K ecosystems %K entrepreneurial university %K entrepreneurship %K growth ambitions %K innovation %K knowledge integration %K startups %K strategy %K tacit knowledge %K teaching %B Technology Innovation Management Review %I Talent First Network %C Ottawa %V 6 %P 3-4 %8 10/2016 %G eng %U http://timreview.ca/article/1022 %N 10 %1 Technology Innovation Management Review Chris McPhee is Editor-in-Chief of the Technology Innovation Management Review. 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. %R http://doi.org/10.22215/timreview/1022