@article {1324,
	title = {Examining the Relationship Between Value Propositions and Scaling Value for New Companies},
	journal = {Technology Innovation Management Review},
	volume = {10},
	year = {2020},
	month = {02/2020},
	pages = {5-13},
	publisher = {Talent First Network},
	type = {Journal },
	chapter = {5},
	address = {Ottawa},
	abstract = {To scale company value rapidly, a new company needs to develop value propositions for diverse parties, customers, investors, partners, suppliers, employees, and other resource owners, as well as align these value propositions with its scaling objectives. The purpose of this paper is to examine the relationships between value propositions for a diverse set of parties, and efforts from a new company to scale company value rapidly. We review the value proposition literature and then examine the relationships between 19 assertions about value propositions, as well as six stable topics that best describe the SERS corpus, which is comprised of 137 assertions about scaling companies early, rapidly, and securely. Conducting a topic model of eight topics led to six stable topics: Fundraise, Enable, Position, Communicate, Innovate, and Complement. We find that of the 19 assertions about value propositions, four are connected to Complement, four to Innovate, one to Position, one to Fundraise, and one to Communicate. A total of eight assertions about value propositions are not connected to any of the six stable topics. This paper contributes to our understanding of how a new company scales company value rapidly, adding an application of topic modelling to perform small-scale data analysis. The findings are expected to be relevant to entrepreneurs and new companies worldwide.},
	keywords = {scaling company value, scaling objectives, topic modeling, topic stability, value proposition},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1324},
	url = {timreview.ca/article/1324},
	author = {Tony Bailetti and Stoyan Tanev}
}
@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}
}
