@article {1472,
	title = {Technology Project Summaries as a Predictor of Crowdfunding Success},
	journal = {Technology Innovation Management Review},
	volume = {11},
	year = {2021},
	month = {12/2021},
	pages = {33-44},
	publisher = {Talent First Network},
	chapter = {33},
	address = {Ottawa},
	abstract = {Crowdfunding 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.},
	keywords = {backers, crowdfunding, failure, funding, fundraising, Kickstarter, prediction, project, success, topic modelling},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1472},
	url = {timreview.ca/article/1472},
	author = {Mika Westerlund and Ishdeep Singh and Mervi Rajahonka and Seppo Leminen}
}
@article {1170,
	title = {A Topic Modelling Analysis of Living Labs Research},
	journal = {Technology Innovation Management Review},
	volume = {8},
	year = {2018},
	month = {07/2018},
	pages = {40-51},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {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.},
	keywords = {big data, data mining, innovation, Living lab, living laboratory, research trends, text analytics, topic modeling, topic modelling},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1170},
	url = {http://timreview.ca/article/1170},
	author = {Mika Westerlund and Seppo Leminen and Mervi Rajahonka}
}
