01919nas a2200301   4500008004100000022001400041245007200055210006900127260004200196300001000238490000700248520110800255653001201363653001701375653001201392653001201404653001601416653001601432653001501448653001201463653001201475653002001487100002101507700001901528700002101547700001901568856003001587       2021                        eng d  a1927-032100aTechnology Project Summaries as a Predictor of Crowdfunding Success0 aTechnology Project Summaries as a Predictor of Crowdfunding Succ  aOttawabTalent First Networkc12/2021  a33-440 v113 aCrowdfunding has emerged in recent years as an important alternative means for technology entrepreneurs to raise funds for their products and business ideas. While the success rate of crowdfunding projects is somewhat low, scholarly understanding of what distinguishes projects that reach their fundraising goals from those that fail remains incomplete. Further, studies on crowdfunding success often examine a number of variables that make predicting success a challenge for entrepreneurs wiling to use crowdfunding. This study uses topic modelling on a data set of over 21,000 technology projects from Kickstarter to investigate if short-text project summaries can reveal predictors of fundraising success on crowdfunding platforms. The results indicate that compared to those that fail in fundraising, project summaries of successfully funded technology projects put forward more trendy topics, use wording that reflects novelty, and focus on solving a social problem. Our results contribute to theory and practice by suggesting the importance of summarizing project content for crowdfunding success.10abackers10acrowdfunding10afailure10afunding10afundraising10aKickstarter10aprediction10aproject10asuccess10atopic modelling1 aWesterlund, Mika1 aSingh, Ishdeep1 aRajahonka, Mervi1 aLeminen, Seppo  utimreview.ca/article/147201896nas a2200277   4500008004100000022001400041245005500055210005300110260004200163300001000205490000600215520114000221653001301361653001601374653001501390653001501405653002201420653002001442653001901462653001901481653002001500100002101520700001901541700002101560856003701581       2018                        eng d  a1927-032100aA Topic Modelling Analysis of Living Labs Research0 aTopic Modelling Analysis of Living Labs Research  aOttawabTalent First Networkc07/2018  a40-510 v83 aThis 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.10abig data10adata mining10ainnovation10aLiving lab10aliving laboratory10aresearch trends10atext analytics10atopic modeling10atopic modelling1 aWesterlund, Mika1 aLeminen, Seppo1 aRajahonka, Mervi  uhttp://timreview.ca/article/1170