00771nas a2200217   4500008004100000022001400041245012400055210006900179260004200248300000900290490000700299653002400306653006000330653002600390653002200416653003200438100001800470700001700488700001800505856003000523       2021                        eng d  a1927-032100aInterview: Discussing Value Proposition Research in the Context of New Companies Committed to Scaling Early and Rapidly0 aInterview Discussing Value Proposition Research in the Context o  aOttawabTalent First Networkc04/2021  a6-120 v1110abusiness ecosystems10aimplicitly vs. explicitly formulated value propositions10anew scaling companies10avalue proposition10avalue proposition alignment1 aPayne, Adrian1 aFrow, Pennie1 aTanev, Stoyan  utimreview.ca/article/143202228nas 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/145701726nas a2200649   4500008004100000022001400041245003600055210003300091260004200124300000800166490000700174653001200181653001500193653001700208653001800225653002100243653002600264653003400290653003000324653002800354653002100382653001300403653002300416653001200439653000900451653000800460653001500468653003300483653002500516653001600541653001700557653002000574653001700594653002200611653001600633653003500649653001500684653002600699653001500725653002000740653001400760653000800774653000800782653001900790653003000809653001500839653002500854653001900879653001600898653001700914653002200931653003200953653002000985100001801005700002301023856003001046       2020                        eng d  a1927-032100aEditorial: Insights (June 2020)0 aEditorial Insights June 2020  aOttawabTalent First Networkc06/2020  a3-40 v1010aBitcoin10ablockchain10acrowdfunding10acrypto assets10acryptocurrencies10adeveloping countries.10adistributed ledger technology10aEmployeedriven innovation10aentrepreneurial finance10aentrepreneurship10aEthereum10aFinancial industry10aFinTech10aICOs10aIEO10ainnovation10aintellectual property rights10ainternationalization10aIT industry10ajob autonomy10amining industry10amoral hazard10aneed for autonomy10anew company10aPorter's Five Forces framework10aregulation10ascaling company value10ascaling-up10aself-leadership10asignaling10aSME10aSTO10asustainability10atechnological environment10atechnology10atechnology readiness10atoken offering10atoken sales10atokenization10avalue proposition10avalue proposition alignment10aventure capital1 aTanev, Stoyan1 aSandstrom, Gregory  utimreview.ca/article/136302061nas a2200217   4500008004100000022001400041245009400055210006900149260004200218300000900260490000700269520139000276653002601666653002301692653001901715653002001734653002201754100001901776700001801795856003001813       2020                        eng d  a1927-032100aExamining the Relationship Between Value Propositions and Scaling Value for New Companies0 aExamining the Relationship Between Value Propositions and Scalin  aOttawabTalent First Networkc02/2020  a5-130 v103 aTo 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.10ascaling company value10ascaling objectives10atopic modeling10atopic stability10avalue proposition1 aBailetti, Tony1 aTanev, Stoyan  utimreview.ca/article/132401917nas a2200229   4500008004100000022001400041245010100055210006900156260004200225300001000267490000700277520120500284653001601489653002601505653001501531653002201546653003201568100001901600700001801619700002001637856003001657       2020                        eng d  a1927-032100aWhat Makes Value Propositions Distinct and Valuable to New Companies Committed to Scale Rapidly?0 aWhat Makes Value Propositions Distinct and Valuable to New Compa  aOttawabTalent First Networkc06/2020  a14-270 v103 aOne of the most valuable resources a company owns is the "portfolio of value propositions" to its diverse external stakeholders, such as customers, investors, and resource owners. In this article, we fill a gap in the value proposition literature by identifying features that make the value propositions of new companies different from other resources, along with factors that make them valuable. A value proposition is conceived as being what enables and improves business transactions between a new company and external stakeholders. We reason that two features in particular make value propositions of new companies distinct: (1) business transactions between a new company and one or more external stakeholders, and (2) investments to create and improve a new company's value propositions that enable business transactions. We provide a definition of "value proposition" and postulate that a value proposition will benefit a new company when it: (1) strengthens the new company's capabilities to scale; (2) increases demand for the new company's products and services; and (3) increases the number, diversity, and rapidity of external investments in the new company's value proposition portfolio.10anew company10ascaling company value10ascaling-up10avalue proposition10avalue proposition alignment1 aBailetti, Tony1 aTanev, Stoyan1 aKeen, Christian  utimreview.ca/article/136501640nas a2200217   4500008004100000022001400041245013800055210006900193260004200262300001000304490000600314520091200320653002701232653002701259653002601286653002201312100001501334700001901349700001801368856003601386       2014                        eng d  a1927-032100aDisruptive Innovation vs Disruptive Technology: The Disruptive Potential of the Value Propositions of 3D Printing Technology Startups0 aDisruptive Innovation vs Disruptive Technology The Disruptive Po  aOttawabTalent First Networkc12/2014  a27-360 v43 aThis article describes an empirical study focusing on the classification of existing business opportunities in the 3D printing technology sector. The authors address three research questions. First, how do technology startups integrate new 3D printing technologies into specific market offers? Second, which value propositions are most attractive in terms of interest from the public and investors? Third, how does the degree of disruptiveness of value propositions relate to the degree of interest from the public and investors? The most notable finding is the link between the business traction of 3D printing technology startups and the degree of disruptiveness of their value propositions. Thus, the article provides empirical support for the conceptualization of the degree of disruptiveness of the value proposition as a metric for the evaluation of the business potential of new technology startups. 10a3D printing technology10aadditive manufacturing10adisruptive innovation10avalue proposition1 aHahn, Finn1 aJensen, Søren1 aTanev, Stoyan  uhttp://timreview.ca/article/855