%0 Journal Article %J Technology Innovation Management Review %D 2019 %T Editorial: Insights (February 2019) %A Chris McPhee %K digital innovation %K digital transformation %K innovation %K innovation ecosystems %K management %K sharing economy %K technology %B Technology Innovation Management Review %I Talent First Network %C Ottawa %V 9 %P 3-4 %8 02/2019 %G eng %U https://timreview.ca/article/1214 %N 2 %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 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. %R http://doi.org/10.22215/timreview/1214 %0 Journal Article %J Technology Innovation Management Review %D 2019 %T Understanding Digital Innovation from a Layered Architectural Perspective %A Jesper Lund %A Esbjörn Ebbesson %K collaborative innovation %K concept development %K digital innovation %K digital technology %K innovation process %X Managing successful digital innovation processes is a challenging task, especially when it involves heterogeneous actors with different sets of knowledge. By gaining a better understanding of how different architectural layers of digital technology interplay with digital innovation, we can be better prepared for managing the complex and messy processes that often arise when working with digital innovation. In this article, we therefore ask: How does the layered architecture of digital technology interplay with digital innovation processes? A case study approach was selected to studied events involving multiple actors in an innovation and development project called the Smart Lock project. The theoretical basis for our study is digital innovation from the perspective of knowledge exchange and relationships. A temporal bracketing strategy was used to support a process analysis of the case data. The article primarily contributes to the body of research concerning digital innovation and provides an example to practitioners of how digital innovation processes can be coordinated and managed based on the innovation at hand. %B Technology Innovation Management Review %I Talent First Network %C Ottawa %V 9 %P 51-63 %8 02/2019 %G eng %U https://timreview.ca/article/1218 %N 2 %1 Halmstad University Jesper Lund is an Assistant Professor in Informatics at Halmstad University in Sweden. His research interest is primarily focused on user-centered and collaborative digital design and innovation. This includes areas such as user studies, design, and evaluation of digital products and services. Most of his studies have been focusing on open and user-centered digital innovation processes within the newspaper and the health technology industries. He is currently engaged in research concerning digital innovation connected to smart cities and communities. His research has been published in a wide array of conferences and journals within the fields of information systems, human-computer interaction, and open and user-driven innovation. %2 Halmstad University Esbjörn Ebbesson is a Lecturer in Informatics at Halmstad University in Sweden. Most of his research has revolved around collaborative or participatory design of digital services within the e-health or news industry sectors. His research has focused on distributed and face-to-face collaborative design processes, but also on understanding the underlying mechanics of the digital platforms that act as the foundation for the digital services that have been designed. He is currently engaged in research concerning digital services as a support for healthier lifestyles in the intersection of sport psychology and informatics. His research has been published in a wide array of conferences within the fields of information systems and human-computer interaction. %R http://doi.org/10.22215/timreview/1218 %0 Journal Article %J Technology Innovation Management Review %D 2018 %T Data Science as an Innovation Challenge: From Big Data to Value Proposition %A Victoria Kayser %A Bastian Nehrke %A Damir Zubovic %K analytics %K big data %K digital innovation %K idea generation %K innovation process %X Analyzing “big data” holds huge potential for generating business value. The ongoing advancement of tools and technology over recent years has created a new ecosystem full of opportunities for data-driven innovation. However, as the amount of available data rises to new heights, so too does complexity. Organizations are challenged to create the right contexts, by shaping interfaces and processes, and by asking the right questions to guide the data analysis. Lifting the innovation potential requires teaming and focus to efficiently assign available resources to the most promising initiatives. With reference to the innovation process, this article will concentrate on establishing a process for analytics projects from first ideas to realization (in most cases: a running application). The question we tackle is: what can the practical discourse on big data and analytics learn from innovation management? The insights presented in this article are built on our practical experiences in working with various clients. We will classify analytics projects as well as discuss common innovation barriers along this process. %B Technology Innovation Management Review %I Talent First Network %C Ottawa %V 8 %P 16-25 %8 03/2018 %G eng %U http://timreview.ca/article/1143 %N 3 %1 Ernst and Young Victoria Kayser is a Data Scientist in Ernst & Young’s Advisory Organization. Her research is focused on the intersection of analytics and innovation management. Her PhD examined the contribution of text mining to foresight and future planning. She has worked in the fields of innovation research and strategy development as well as in the automotive sector. She holds a Master of Science degree in Information Engineering and Management. %2 Ernst and Young Bastian Nehrke is a Manager with Ernst and Young’s Advisory in Stuttgart. He specializes in developing organizational analytics capabilities and supports clients in setting up their own analytics hubs and CoEs as well as innovation and data thinking methods. He is a certified Project Manager, Business Analyst, and Requirements Engineer and studied International Management and Innovation and Technology Management in Frankfurt and Heilbronn. %3 Ernst and Young Damir Zubovic leads Ernst and Young’s Data and Analytics Practices in Germany, Switzerland, and Austria as Partner. With 15 years of professional experience in leading business intelligence, analytics and big data initiatives, he is responsible for business development, specializing in analytics applications in the automotive and life sciences sectors and in consumer and retail products. His extensive experience in the field makes him an experienced mentor who also acts as coach, lecturer, and keynote speaker. %R http://doi.org/10.22215/timreview/1143