@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 {1339,
	title = {Company Offers to Meet the Needs of Business-to-Business Customers: Customer Strategy and Orientation},
	journal = {Technology Innovation Management Review},
	volume = {10},
	year = {2020},
	month = {03/2020},
	pages = {79-87},
	publisher = {Talent First Network},
	chapter = {79},
	address = {Ottawa},
	abstract = {<Companies develop and refine their market offer by creating new products for current and potential customers. Customer-focused research and development (R\&D) is expected to shorten the time to market, improve cash flow, and reduce risks. It considers both customer strategy as well as customer orientation. In practice, this means that customer strategy directs current and potential customers to a company{\textquoteright}s offering, while customer orientation allocates R\&D activities to meet customers{\textquoteright} needs. This paper contributes to customer-driven R\&D research by investigating whether a company{\textquoteright}s offer meets customer needs that can be supported by customer strategy and orientation. Specific focus is given to companies operating in business-to-business (B2B) markets. The paper is based on an analysis of quantitative survey data from 292 respondents representing key account management and sales management professionals in Finnish firms across several industries. The findings indicate that offer meeting customers{\textquoteright} needs are supported by customer strategy and orientation. The paper provides guidelines on how companies can align their research and development activities to address both existing customers as well as current and potential needs and requirements.},
	keywords = {B2B, customer orientation, customer strategy, Market offer, research and development, value proposition},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1339},
	url = {timreview.ca/article/1339},
	author = {Mikko M{\"a}ntyneva}
}
