02228nas a2200277   4500008004100000022001400041245010200055210006900157260004200226300001000268490000700278520139300285653002601678653002101704653001701725653002901742653002201771653001801793100002001811700001701831700001701848700001901865700001801884700001801902856003001920       2021                        eng d  a1927-032100aUsing Web Text Analytics to Categorize the Business Focus  of Innovative Digital Health Companies0 aUsing Web Text Analytics to Categorize the Business Focus of Inn  aOttawabTalent First Networkc10/2021  a65-780 v113 aCategorizing 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.10aDigital health sector10amachine learning10aMarket offer10atopic modeling algorithm10avalue proposition10aweb analytics1 aAweisi, Abdulla1 aArora, Daman1 aEmby, Renée1 aRehman, Madiha1 aTanev, George1 aTanev, Stoyan  utimreview.ca/article/145701948nas a2200217   4500008004100000022001400041245010600055210006900161260004200230300001000272490000700282520126600289653000801555653002501563653002201588653001701610653002901627653002201656100002201678856003001700       2020                        eng d  a1927-032100aCompany Offers to Meet the Needs of Business-to-Business Customers: Customer Strategy and Orientation0 aCompany Offers to Meet the Needs of BusinesstoBusiness Customers  aOttawabTalent First Networkc03/2020  a79-870 v103 a<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's offering, while customer orientation allocates R&D activities to meet customers' needs. This paper contributes to customer-driven R&D research by investigating whether a company'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' 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.10aB2B10acustomer orientation10acustomer strategy10aMarket offer10aresearch and development10avalue proposition1 aMäntyneva, Mikko  utimreview.ca/article/1339