01840nas a2200217   4500008004100000022001400041245006900055210006700124260004200191300001100233490000700244520120100251653002601452653001601478653002201494653001501516653002101531100002201552700001801574856003001592       2021                        eng d  a1927-032100aA Review of Living Lab Research and Methods for User Involvement0 aReview of Living Lab Research and Methods for User Involvement  aOttawabTalent First Networkc12/2021  a88-1070 v113 aLiving 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.10abibliometric analysis10aco-creation10aliterature review10aLiving lab10auser involvement1 aHuang, Judy, Hong1 aThomas, Elisa  utimreview.ca/article/146701602nas a2200265   4500008004100000022001400041245010300055210006900158260004200227300000700269490000700276520078400283653003101067653002201098653001601120653002201136653002501158653002101183653002101204653002001225100002101245700002201266700001801288856003001306       2020                        eng d  a1927-032100aSeeking 'Strategy' in Business Intelligence Literature: Theorizing BI as part of strategy research0 aSeeking Strategy in Business Intelligence Literature Theorizing   aOttawabTalent First Networkc09/2020  a??0 v103 aThis 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.10aBusiness intelligence (BI)10aConceptualization10adefinition.10aliterature review10astrategy as practice10astrategy content10astrategy process10astrategy realms1 aTalaoui, Yassine1 aKohtamäki, Marko1 aRajala, Risto  utimreview.ca/article/138702525nas a2200229   4500008004100000022001400041245011600055210006900171260004200240300001000282490000600292520176700298653002002065653001802085653003302103653002202136653004102158100002302199700001902222700001602241856003802257       2019                        eng d  a1927-032100aA Discipline-Spanning Overview of Action Research and Its Implications for Technology and Innovation Management0 aDisciplineSpanning Overview of Action Research and Its Implicati  aOttawabTalent First Networkc04/2019  a48-650 v93 aThe 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.10aaction research10abibliometrics10adiscipline-spanning analysis10aliterature review10atechnology and innovation management1 aGuertler, Matthias1 aSick, Nathalie1 aKriz, Anton  uhttps://timreview.ca/article/123301652nas a2200277   4500008004100000022001400041245008100055210006900136260004200205300001000247490000600257520085500263653001301118653001701131653001901148653001601167653002001183653002701203653002201230653001801252653001701270100001501287700002401302700001801326856003001344       2019                        eng d  a1927-032100aUncovering Research Streams in the Data Economy Using Text Mining Algorithms0 aUncovering Research Streams in the Data Economy Using Text Minin  aOttawabTalent First Networkc11/2019  a62-740 v93 aData-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.10abig data10aData Economy10aData Ecosystem10aData Market10adigital economy10adigital transformation10aliterature review10aNetwork Graph10aText Mining.1 aAzkan, Can1 aSpiekermann, Markus1 aGoecke, Henry  utimreview.ca/article/128401711nas a2200217   4500008004100000022001400041245009100055210006900146260004200215300001000257490000600267520104100273653001601314653002701330653001901357653002201376100002201398700001801420700001801438856003701456       2018                        eng d  a1927-032100aAdditive Manufacturing and Business Models: Current Knowledge and Missing Perspectives0 aAdditive Manufacturing and Business Models Current Knowledge and  aOttawabTalent First Networkc06/2018  a15-330 v83 aAdditive 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.10a3D printing10aadditive manufacturing10abusiness model10aliterature review1 aÖberg, Christina1 aShams, Tawfiq1 aAsnafi, Nader  uhttp://timreview.ca/article/116201592nas a2200241   4500008004100000022001400041245005200055210005200107260004200159300000900201490000600210520093300216653001601149653001801165653002701183653001801210653002201228653001401250653001601264653001501280100001901295856003601314       2016                        eng d  a1927-032100aCrowdsourcing Literature Reviews in New Domains0 aCrowdsourcing Literature Reviews in New Domains  aOttawabTalent First Networkc02/2016  a5-140 v63 aConducting 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.10aco-creation10acrowdsourcing10acrowdsourcing platform10acybersecurity10aliterature review10anarrative10anew domains10asystematic1 aWeiss, Michael  uhttp://timreview.ca/article/96301733nas a2200241   4500008004100000022001400041245011200055210006900167260004200236300000900278490000600287520096600293653003701259653002601296653002201322653001101344653002101355653002201376653001701398653002301415100001701438856003601455       2014                        eng d  a1927-032100aA Citation-Based Patent Evaluation Framework to Reveal Hidden Value and Enable Strategic Business Decisions0 aCitationBased Patent Evaluation Framework to Reveal Hidden Value  aOttawabTalent First Networkc06/2014  a4-130 v43 aPatent 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'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.10acitation-based patent evaluation10aintellectual property10aliterature review10apatent10apatent citations10apatent evaluation10apatent value10aprior art citation1 aSmith, Derek  uhttp://timreview.ca/article/79901811nas a2200229   4500008004100000022001400041245010700055210006900162260004200231300001000273490000600283520105500289653001901344653003701363653002601400653002201426653002201448653003401470653002401504100001701528856003601545       2014                        eng d  a1927-032100aFinding the Signal in the Noise of Patent Citations: How to Focus on Relevance for Strategic Advantage0 aFinding the Signal in the Noise of Patent Citations How to Focus  aOttawabTalent First Networkc09/2014  a36-440 v43 aPatent 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.10acitation noise10acitation-based patent evaluation10aintellectual property10aliterature review10apatent evaluation10apatent evaluation limitations10aprior art citations1 aSmith, Derek  uhttp://timreview.ca/article/83001862nas a2200253   4500008004100000022001400041245007600055210006900131260004200200300001000242490000600252520113300258653002301391653001801414653001801432653002201450653001501472653000901487653002401496653001301520653002201533100001701555856003601572       2013                        eng d  a1927-032100aNavigating Risk When Entering and Participating in a Business Ecosystem0 aNavigating Risk When Entering and Participating in a Business Ec  aOttawabTalent First Networkc05/2013  a25-330 v33 aEntrepreneurs 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'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.10abusiness ecosystem10adue diligence10aentrepreneurs10aliterature review10amitigation10arisk10arisk identification10astartups10athreat management1 aSmith, Derek  uhttp://timreview.ca/article/685