@article {1457,
	title = {Using Web Text Analytics to Categorize the Business Focus  of Innovative Digital Health Companies},
	journal = {Technology Innovation Management Review},
	volume = {11},
	year = {2021},
	month = {10/2021},
	pages = {65-78},
	publisher = {Talent First Network},
	chapter = {65},
	address = {Ottawa},
	abstract = {Categorizing the market focus of larger samples of companies can be a tedious and time-consuming process for both researchers and business analysts interested in developing insights about emerging business sectors. The objective of this article is to suggest a text analytics approach to categorizing the application areas of companies operating in the digital health sector based on the information provided on their websites. More specifically, we apply topic modeling on a collection of text documents, including information collected from the websites of a sample of 100 innovative digital health companies. The topic model helps in grouping the companies offering similar types of market offers. It enables identifying the companies that are most highly associated with each of the topics. In addition, it allows identifying some of the emerging themes that are discussed online by the companies, as well as their specific market offers. The results will be of interest to inspiring technology entrepreneurs, organizations supporting new ventures, and business accelerators interested to enhance their services to new venture clients. The development, operationalization, and automation of the company categorization process based on publicly available information is a methodological contribution that opens the opportunity for future applications in research and business practice.},
	keywords = {Digital health sector, machine learning, Market offer, topic modeling algorithm, value proposition, web analytics},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1457},
	url = {timreview.ca/article/1457},
	author = {Abdulla Aweisi and Daman Arora and Ren{\'e}e Emby and Madiha Rehman and George Tanev and Stoyan Tanev}
}
@article {903,
	title = {A Value Blueprint Approach to Cybersecurity in Networked Medical Devices},
	journal = {Technology Innovation Management Review},
	volume = {5},
	year = {2015},
	month = {06/2015},
	pages = {17-25},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {Cybersecurity for networked medical devices has been usually {\textquotedblleft}bolted on{\textquotedblright} by manufacturers at the end of the design cycle, rather than integrated as a key factor of the product development and value creation process. The recently released cybersecurity guidelines by the United States Food and Drug Administration (FDA) offer an opportunity for manufacturers to find a way of positioning cybersecurity as part of front-end design, value creation, and market differentiation. However, the technological architecture and the functionality of such devices require an ecosystem approach to the value creation process. Thus, the present article adopts an ecosystem approach to including cybersecurity as part of their value proposition. It extends the value blueprint approach suggested by Ron Adner to include an additional dimension that offers the opportunity to define: the potential locations of cybersecurity issues within the ecosystem, the specific nature of these issues, the players that should be responsible for addressing them, as well as a way to articulate the added cybersecurity value as a competitive differentiator to potential customers. The value of the additional blueprint dimension is demonstrated through a case study of a representative networked medical device {\textendash} a connected insulin pump and continuous glucose monitor. },
	keywords = {cybersecurity, ecosystem, market differentiation, networked medical devices, value proposition},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/903},
	url = {http://timreview.ca/article/903},
	author = {George Tanev and Peyo Tzolov and Rollins Apiafi}
}
