<?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%">Chris McPhee</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Editorial: Insights (October 2018)</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%">customer foresight</style></keyword><keyword><style  face="normal" font="default" size="100%">data analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">data mining</style></keyword><keyword><style  face="normal" font="default" size="100%">design thinking</style></keyword><keyword><style  face="normal" font="default" size="100%">digital platforms</style></keyword><keyword><style  face="normal" font="default" size="100%">industry–academia collaboration</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning</style></keyword><keyword><style  face="normal" font="default" size="100%">market entry</style></keyword><keyword><style  face="normal" font="default" size="100%">Open innovation</style></keyword><keyword><style  face="normal" font="default" size="100%">service design</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://timreview.ca/article/1188</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%">8</style></volume><pages><style face="normal" font="default" size="100%">3-4</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">10</style></issue><custom1><style face="normal" font="default" size="100%">Technology Innovation Management Review
Chris McPhee is Editor-in-Chief of the &lt;em&gt;Technology Innovation Management Review.&lt;/em&gt; 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.</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%">Daniel Gentner</style></author><author><style face="normal" font="default" size="100%">Birgit Stelzer</style></author><author><style face="normal" font="default" size="100%">Bujar Ramosaj</style></author><author><style face="normal" font="default" size="100%">Leo Brecht</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Strategic Foresight of Future B2B Customer Opportunities through Machine Learning</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%">action research</style></keyword><keyword><style  face="normal" font="default" size="100%">B2B industries</style></keyword><keyword><style  face="normal" font="default" size="100%">customer base analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">customer foresight</style></keyword><keyword><style  face="normal" font="default" size="100%">customer knowledge</style></keyword><keyword><style  face="normal" font="default" size="100%">customer profile</style></keyword><keyword><style  face="normal" font="default" size="100%">data mining</style></keyword><keyword><style  face="normal" font="default" size="100%">machine learning</style></keyword><keyword><style  face="normal" font="default" size="100%">strategic foresight</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://timreview.ca/article/1189</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%">8</style></volume><pages><style face="normal" font="default" size="100%">5-17</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Within the strategic foresight literature, customer foresight still shows a low capability level. In practice, especially in business-to-business (B2B) industries, analyzing an entire customer base in terms of future customer potential is often done manually. Therefore, we present a single case study based on a quantitative customer-foresight project conducted by a manufacturing company. Along with a common data mining process, we highlight the application of machine learning algorithms on an entire customer database that consists of customer and product-related data. The overall benefit of our research is threefold. The major result is a prioritization of 2,300 worldwide customers according to their predicted technical affinity and suitability for a new machine control sensor. Thus, the company gains market knowledge, which addresses management functions such as product management. Furthermore, we describe the necessary requirements and steps for practitioners who realize a customer-foresight project. Finally, we provide a detailed catalogue of measures suitable for sales in order to approach the identified high-potential customers according to their individual needs and behaviour. </style></abstract><issue><style face="normal" font="default" size="100%">10</style></issue><custom1><style face="normal" font="default" size="100%">Ulm University
Daniel Gentner is a Junior Research Fellow at the Institute of Technology and Process Management at Ulm University in Germany. His research focuses on product management in B2B industries and especially on customer analytics methods and applications. Additionally, he works at iTOP.Partners GmbH as consultant and trainer for B2B product management, for example in the Center of Excellence in Global Product Management (CE ProMM). There, he supports the experience and knowledge transfer to practitioners on processes, techniques, roles, responsibilities, and tasks of product management in globally acting German and Swiss B2B companies. Daniel studied Business Administration at Ulm University and the University of Connecticut and holds a Master of Science degree from Ulm University. During his studies, he worked as a Student Research Assistant at Ulm University and as a student trainee in different companies (B2B and B2C). </style></custom1><custom2><style face="normal" font="default" size="100%">Ulm University
Birgit Stelzer is a Senior Research Fellow of the Institute of Technology and Process Management at Ulm University in Germany, where she is also Head of the Department of Didactics. She has a diploma and a PhD in Management Science. She also works as a consultant and trainer for B2B companies on foresight topics, agile project management, and organizational transformation. Her research focuses mainly on foresight issues and business model innovation. She also lectures at several institutions in Europe, including the University of Antwerp and Steinbeis University Berlin.</style></custom2><custom3><style face="normal" font="default" size="100%">Ulm University
Bujar Ramosaj is a PhD Candidate at the Institute of Technology and Process Management at Ulm University in Germany, where he holds a Master’s degree in Business Administration with a focus on Technology Management. His research focuses on the financial evaluation of emerging technologies and the assessment of their potential to gain greater value in technology-related M&amp;A activities. In addition, he works for ITOP.Partners GmbH as a technology management consultant, where he identifies, analyzes, and evaluates technologies and technology strategies.</style></custom3><custom4><style face="normal" font="default" size="100%">University of Liechtenstein
Leo Brecht is a Full Professor of Entrepreneurship and Technology at the University of Liechtenstein, where he researches in innovation, technology, and product management, mainly based on analytics. He joined the University of Liechtenstein in October 2018; previously, he was a Professor at Ulm University, Germany. Leo is the author of several books and the founder of two start-up companies.</style></custom4></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%">Mika Westerlund</style></author><author><style face="normal" font="default" size="100%">Seppo Leminen</style></author><author><style face="normal" font="default" size="100%">Mervi Rajahonka</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Topic Modelling Analysis of Living Labs Research</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</style></keyword><keyword><style  face="normal" font="default" size="100%">data mining</style></keyword><keyword><style  face="normal" font="default" size="100%">innovation</style></keyword><keyword><style  face="normal" font="default" size="100%">Living lab</style></keyword><keyword><style  face="normal" font="default" size="100%">living laboratory</style></keyword><keyword><style  face="normal" font="default" size="100%">research trends</style></keyword><keyword><style  face="normal" font="default" size="100%">text analytics</style></keyword><keyword><style  face="normal" font="default" size="100%">topic modeling</style></keyword><keyword><style  face="normal" font="default" size="100%">topic modelling</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">07/2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/1170</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%">8</style></volume><pages><style face="normal" font="default" size="100%">40-51</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This study applies topic modelling analysis on a corpus of 86 publications in the Technology Innovation Management Review (TIM Review) to understand how the phenomenon of living labs has been approached in the recent innovation management literature. Although the analysis is performed on a corpus collected from only one journal, the TIM Review has published the largest number of special issues on living labs to date, thus it reflects the advancement of the area in the scholarly literature. According to the analysis, research approaches to living labs can be categorized under seven broad topics: 1) Design, 2) Ecosystem, 3) City, 4) University, 5) Innovation, 6) User, and 7) Living lab. Moreover, each topic includes a set of characteristic subtopics. A trend analysis suggests that the emphasis of research on living labs is moving away from a conceptual focus on what living labs are and who is involved in their ecosystems to practical applications of how to design and manage living labs, their processes, and participants, especially users, as key stakeholders and in novel application areas such as the urban city context.</style></abstract><issue><style face="normal" font="default" size="100%">7</style></issue><custom1><style face="normal" font="default" size="100%">Carleton University
Mika Westerlund, DSc (Econ), is an Associate Professor at Carleton University in Ottawa, Canada. He previously held positions as a Postdoctoral Scholar in the Haas School of Business at the University of California Berkeley and in the School of Economics at Aalto University in Helsinki, Finland. Mika earned his doctoral degree in Marketing from the Helsinki School of Economics in Finland. His research interests include open and user innovation, the Internet of Things, business strategy, and management models in high-tech and service-intensive industries.</style></custom1><custom2><style face="normal" font="default" size="100%">Aalto University
Seppo Leminen is an Adjunct Professor of Business Development at Aalto University in Helsinki, Finland, and an Adjunct Research Professor at Carleton University in Ottawa, Canada. He holds a doctoral degree in Marketing from the Hanken School of Economics in Finland and a doctoral degree in Industrial Engineering and Management from the School of Science at Aalto University. His research and consulting interests include living labs, open innovation, innovation ecosystems, robotics, the Internet of Things (IoT), as well as management models in high-tech and service-intensive industries. He is serving as an associate editor in the &lt;em&gt;BRQ Business Research Quarterly,&lt;/em&gt; on the editorial board of the &lt;em&gt;Journal of Small Business Management,&lt;/em&gt; as a member of the Review Board for the &lt;em&gt;Technology Innovation Management Review,&lt;/em&gt; and on the Scientific Panel of the International Society for Professional Innovation Management (ISPIM). Prior to his appointment at Aalto University, he worked in the ICT and pulp and paper industries.</style></custom2><custom3><style face="normal" font="default" size="100%">South-Eastern Finland University of Applied Sciences XAMK
Mervi Rajahonka, DSc (Econ), works as an RDI Advisor at the Small Business Center (SBC), currently a part of the South-Eastern Finland University of Applied Sciences XAMK, Finland, and she is an Adjunct Research Professor at Carleton University in Ottawa, Canada. She has been working at the SBC for about 10 years. She earned her doctoral degree in Logistics from the Department of Information and Service Economy at Aalto University School of Business in Helsinki, Finland. She also holds a Master’s degree in Technology from the Helsinki University of Technology and a Master’s degree in Law from the University of Helsinki. Her research interests include sustainable logistics and supply chain management, business models, service modularity, and service innovations. Her research has been published in a number of journals in the areas of logistics, services, and operations management.</style></custom3></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%">Michael Lenczner</style></author><author><style face="normal" font="default" size="100%">Susan Phillips</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">From Stories to Evidence: How Mining Data Can Promote Innovation in the Nonprofit Sector</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%">Ajah</style></keyword><keyword><style  face="normal" font="default" size="100%">charities</style></keyword><keyword><style  face="normal" font="default" size="100%">community sector</style></keyword><keyword><style  face="normal" font="default" size="100%">data mining</style></keyword><keyword><style  face="normal" font="default" size="100%">funding database</style></keyword><keyword><style  face="normal" font="default" size="100%">nonprofit</style></keyword><keyword><style  face="normal" font="default" size="100%">social innovation</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%">07/2012</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/575</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%">10-15</style></pages><abstract><style face="normal" font="default" size="100%">Being a director at a nonprofit organization often means making guesses instead of properly informed decisions. One source of the “information fog” is fragmented funding. Nonprofit organizations have multiple types of funders, most of whom are not their direct beneficiaries. Predicting funder behaviour is therefore more of an art than a science. Planning for the future, setting goals, and making decisions all suffer in the nonprofit sector because of a lack of timely and accurate information.

This article examines the opportunities to use newly available digitized information to address this information deficit. It shows how the rich, variegated and fast-changing landscape of information available online can be collected, combined, and repurposed in order to deliver it in actionable forms to decision makers across the nonprofit sector. This information can significantly improve planning decisions and enhance the effectiveness of the sector. 

The article concludes that a cultural shift is required in order for the nonprofit sector to exploit the opportunities presented by digital information. Nonprofits and funders are enjoined to increase their numeracy and to find creative ways to use data as part of their evaluation, planning and decision making. Researchers need to be adventurous in their use of quantitative information and specifically should employ linked datasets in order to explore previously unanswerable research and policy questions. The producers of data need to collect and publish their information in ways that facilitate reuse. Finally, funders need to support a variety of projects that seek to exploit these new opportunities.
</style></abstract><issue><style face="normal" font="default" size="100%">7</style></issue><custom1><style face="normal" font="default" size="100%">Ajah
Michael Lenczner is a Montreal-based entrepreneur who works in both the for-profit and nonprofit sectors. He has worked on community technologies since 2000, community data since 2003, and on open government data since 2005. He co-founded Ile Sans Fil, CivicAccess.ca, Montréal Ouvert, serves on the board of several nonprofits, and is a frequent partner in academic-community collaborations. He is the CEO and founder of Ajah, a company that builds online tools for the Canadian nonprofit sector.</style></custom1><custom2><style face="normal" font="default" size="100%">Carleton University 
Susan Phillips is Professor and Director of the School of Public Policy and Administration at Carleton University in Ottawa, Canada, where she has led the creation of Canada’s first Masters in Philanthropy and Nonprofit Leadership. Internationally recognized for her research in this field, Susan is currently co-editing the Routledge Companion to Philanthropy, the first international handbook in philanthropy, and she is beginning a major SSHRC-funded comparative study of community foundations. She is a frequent advisor to nonprofits, foundations, and governments. </style></custom2></record></records></xml>