@article {1467,
	title = {A Review of Living Lab Research and Methods for User Involvement},
	journal = {Technology Innovation Management Review},
	volume = {11},
	year = {2021},
	month = {12/2021},
	pages = {88-107},
	publisher = {Talent First Network},
	chapter = {88},
	address = {Ottawa},
	abstract = {Living lab initiatives attempt to solve challenges by stimulating innovative collaboration and outcomes, which unfold in multifarious activities. This study investigates the progress of Living lab research over time. It explores its current trends, along with methods and tools used by Living labs for user involvement. By employing a two-step approach, the study first presents a bibliometric analysis of 535 publications, including detection of convergence towards areas like the aging problem of societies, smart cities, Urban Living labs, and overall sustainability. Urban Living lab clusters have been growing rapidly and forming their own research domain. Subsequently, a review of 42 empirical papers explores the methods and tools adopted by Living labs for user involvement during the innovation process. We categorize the methods into the following eight groups: 1) Structured interaction, 2) Flexible interaction, 3) Extended network, 4) Special actors, 5) Learning and engaging, 6) Design approaches; 7) Techniques, 8) Operational guidelines. The study contributes both to theoretical and practice-oriented Living lab research and offers potential support especially to practitioners.},
	keywords = {bibliometric analysis, co-creation, literature review, Living lab, user involvement},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1467},
	url = {timreview.ca/article/1467},
	author = {Judy Hong Huang and Elisa Thomas}
}
@article {1387,
	title = {Seeking {\textquoteright}Strategy{\textquoteright} in Business Intelligence Literature: Theorizing BI as part of strategy research},
	journal = {Technology Innovation Management Review},
	volume = {10},
	year = {2020},
	month = {09/2020},
	pages = {??},
	publisher = {Talent First Network},
	chapter = {??},
	address = {Ottawa},
	abstract = {This paper connects the business intelligence (BI) literature with research in strategic management by plotting the existing research strands on BI: environmental scanning, competitive intelligence, executive information systems, and business intelligence, against the strategic dimensions of a) orientation (External vs. Internal), b) focus (Content vs. Process), and c) practice realms. The article accordingly offers a new re-conceptualization of BI as a strategic artifact across four strategic clusters: BI as a system, BI as a planned process, BI as a product, and BI as a decisional paradigm. This conceptual article contributes to the literature by integrating disparate views on BI and placing them within the content, process, and practice streams of strategy research.},
	keywords = {Business intelligence (BI), Conceptualization, definition., literature review, strategy as practice, strategy content, strategy process, strategy realms},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1387},
	url = {timreview.ca/article/1387},
	author = {Yassine Talaoui and Marko Kohtam{\"a}ki and Risto Rajala}
}
@article {1233,
	title = {A Discipline-Spanning Overview of Action Research and Its Implications for Technology and Innovation Management},
	journal = {Technology Innovation Management Review},
	volume = {9},
	year = {2019},
	month = {04/2019},
	pages = {48-65},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {The iterative and learning character of action research is particularly beneficial for exploring complex socio-technical problems in technology and innovation management (TIM). In this respect, action research allows both rigorous and relevant research due to parallel solving of real-world problems, capability building, and gaining scientific insights. However, the use of action research within TIM research is surprisingly limited. Action research also is not a homogeneous research methodology since each research discipline, such as education and organizational science, has its own action research streams, which are often only loosely linked. A systematic overview of those action research traditions and specific best practices is still missing, which complicates a systematic transfer and use of action research in TIM. This article addresses this essential gap by building a cross-disciplinary overview of action research streams based on a bibliometric analysis using Scopus. The analysis includes relevant disciplines with action research traditions, their development over time, and the most influential journals, authors, institutions, and countries. Along with this discipline-spanning analysis, the article investigates particular TIM benefits and challenges of action research. The two key contributions of this article are: 1) a discipline-spanning overview of action research and its evolution and 2) an analysis of its implications for TIM research. These contributions build the basis for strengthening the use of action research in TIM. In the medium-term, action research has the capacity to link academia and industry more closely and, in doing so, assists important endeavours of translating more of our research outcomes into practice.},
	keywords = {action research, bibliometrics, discipline-spanning analysis, literature review, technology and innovation management},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1233},
	url = {https://timreview.ca/article/1233},
	author = {Matthias Guertler and Nathalie Sick and Anton Kriz}
}
@article {1284,
	title = {Uncovering Research Streams in the Data Economy Using Text Mining Algorithms},
	journal = {Technology Innovation Management Review},
	volume = {9},
	year = {2019},
	month = {11/2019},
	pages = {62-74},
	publisher = {Talent First Network},
	chapter = {62},
	address = {Ottawa},
	abstract = {Data-driven business models arise in different social and industrial sectors, while new sensors and devices are breaking down the barriers for disruptive ideas and digitally transforming established solutions. This paper aims at providing insights about emerging topics in the data economy that are related to companies\&rsquo; innovation potential. The paper uses text mining supported by systematic literature review to automatize the extraction and analysis of beneficial insights for both scientists and practitioners that would not be possible by a manual literature review. By doing so, we were able to analyze 860 scientific publications resulting in an overview of the research field of data economy and innovation. Nine clusters and their key topics are identified, analyzed as well as visualized, as we uncover research streams in the paper.},
	keywords = {big data, Data Economy, Data Ecosystem, Data Market, digital economy, digital transformation, literature review, Network Graph, Text Mining.},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1284},
	url = {timreview.ca/article/1284},
	author = {Can Azkan and Markus Spiekermann and Henry Goecke}
}
@article {1162,
	title = {Additive Manufacturing and Business Models: Current Knowledge and Missing Perspectives},
	journal = {Technology Innovation Management Review},
	volume = {8},
	year = {2018},
	month = {06/2018},
	pages = {15-33},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {Additive manufacturing, that is 3D printing technology, may change the way companies operate their businesses. This article adopts a business model perspective to create an understanding of what we know about these changes. It summarizes current knowledge on additive manufacturing within management and business research, and it discusses future research directions in relation to business models for additive manufacturing. Using the scientific database Web of Science, 116 journal articles were identified. The literature review reveals that most research concerns manufacturing optimization. A more holistic view of the changes that additive manufacturing may bring about for firms is needed, as is more research on changed value propositions, and customer/sales-related issues. The article contributes to previous research by systematically summarizing additive manufacturing research in the business and management literature, and by highlighting areas for further investigation related to the business models of individual firms.},
	keywords = {3D printing, additive manufacturing, business model, literature review},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1162},
	url = {http://timreview.ca/article/1162},
	author = {Christina {\"O}berg and Tawfiq Shams and Nader Asnafi}
}
@article {963,
	title = {Crowdsourcing Literature Reviews in New Domains},
	journal = {Technology Innovation Management Review},
	volume = {6},
	year = {2016},
	month = {02/2016},
	pages = {5-14},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {Conducting a literature review in new domains presents unique challenges. The literature in a new domain is typically broad, fragmented, and growing quickly. Because little is known about the new domain, the literature review cannot be guided by established classifications of knowledge, unlike in an existing domain. Rather, it will be driven by evidence that challenges and extends existing knowledge. In a way, exploring a new domain means looking for anomalies in the evidence that cannot be explained by what is already known. This article summarizes lessons from conducting two literature reviews in new domains in the area of cybersecurity. It then presents a design for using leader-driven crowdsourcing to collect evidence and synthesize it into insights in a new domain. The article will be relevant to those who are exploring a new domain, in particular students, researchers, and members of R\&D projects in industry.},
	keywords = {co-creation, crowdsourcing, crowdsourcing platform, cybersecurity, literature review, narrative, new domains, systematic},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/963},
	url = {http://timreview.ca/article/963},
	author = {Michael Weiss}
}
@article {799,
	title = {A Citation-Based Patent Evaluation Framework to Reveal Hidden Value and Enable Strategic Business Decisions},
	journal = {Technology Innovation Management Review},
	volume = {4},
	year = {2014},
	month = {06/2014},
	pages = {4-13},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {Patent evaluation methodologies enable firms to make informed strategic business decisions by associating and revealing hidden information surrounding a patent. However, the value of a patent depends on a firm{\textquoteright}s capabilities and strategic direction; therefore, a patent evaluation requires the information to be properly related and aligned with a particular business consideration. This article reviews the literature on citation-based patent evaluation methodologies and develops a framework to help managers and entrepreneurs identify strategic groups of business considerations. The framework shows how categories of information can be interrelated to different strategic groups of business considerations, thereby providing a competitive advantage to the evaluating firm. The article includes recommendations for managers and entrepreneurs to help them make citation-based patent evaluation an ongoing business practice to enable strategic decision making.},
	keywords = {citation-based patent evaluation, intellectual property, literature review, patent, patent citations, patent evaluation, patent value, prior art citation},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/799},
	url = {http://timreview.ca/article/799},
	author = {Derek Smith}
}
@article {830,
	title = {Finding the Signal in the Noise of Patent Citations: How to Focus on Relevance for Strategic Advantage},
	journal = {Technology Innovation Management Review},
	volume = {4},
	year = {2014},
	month = {09/2014},
	pages = {36-44},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {Patent evaluations based on prior art citation data are business methodologies that can reveal hidden relationships between a patent and the associated prior art citations. These hidden relationships can further identify firms, actors and, technology and can identify strategic business relationships and opportunities. However, a fundamental problem with existing methodologies for discovering relevant relationships in citation data is noise. Citation noise obscures relevant relationships and impedes the potential value of these methodologies. This article reviews the literature on prior art citations as they relate to citation-based patent evaluation methodologies. A framework is presented to overcome citation noise and reveal relevant relationships to evaluate knowledge, technology, and invention properties, thereby opening up strategic and competitive advantages to the evaluating firm. The article provides guidance to executives and managers to help improve strategic decision making through relevant citation-based patent evaluations.},
	keywords = {citation noise, citation-based patent evaluation, intellectual property, literature review, patent evaluation, patent evaluation limitations, prior art citations},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/830},
	url = {http://timreview.ca/article/830},
	author = {Derek Smith}
}
@article {685,
	title = {Navigating Risk When Entering and Participating in a Business Ecosystem},
	journal = {Technology Innovation Management Review},
	volume = {3},
	year = {2013},
	month = {05/2013},
	pages = {25-33},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {Entrepreneurs typically have limited resources during the start-up phase of a business. Business ecosystems are a strategy for entrepreneurs to access and exchange many different aspects of value, resources, and benefits. However, there may be business risks for entering a particular type of ecosystem, and further risks may be encountered after entering and participating in a business ecosystem. These risks are significant and can inhibit a startup{\textquoteright}s growth. In this article, the literature on business ecosystems is reviewed as it relates to risk to discover insights of relevance to entrepreneurs, top management teams, and business-ecosystem operators. First, the published research is organized into two streams: i) risks relating to categories of business ecosystems, and ii) risks relating to participating in business ecosystems. Then, the problem is abstracted to develop a potential strategy for managing these risks, which features a pre-entry inspection followed by real-time resource management. Finally, five recommendations are offered for entrepreneurs seeking to enter and participate in business ecosystems.},
	keywords = {business ecosystem, due diligence, entrepreneurs, literature review, mitigation, risk, risk identification, startups, threat management},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/685},
	url = {http://timreview.ca/article/685},
	author = {Derek Smith}
}
