02499nas a2200277   4500008004100000022001400041245010800055210006900163260004200232300001000274490000600284520159900290653002801889653002601917653002101943653002101964653002701985653003502012653002902047653002102076653001302097653002202110100002102132700003002153856003802183       2018                        eng d  a1927-032100aImpact of Business Intelligence Solutions on Export Performance of Software Firms in Emerging Economies0 aImpact of Business Intelligence Solutions on Export Performance   aOttawabTalent First Networkc09/2018  a39-490 v83 aThe article is written with the aim of understanding how well software firms in emerging economies perform when exporting their goods. Focusing on Paraguay as a representative context, a multiple-case-study research design was adopted using different sources of evidence, including 15 in-depth interviews with founders, shareholders, and CEOs. The data were analyzed using grounded theory in order to develop patterns and categories, and to understand differences and regularities. The revised Uppsala internationalization process model was used as a theoretical framework. This article highlights the experts’ views of the impact of business intelligence on the export performance of software firms in Paraguay. Although only a few of the interviewees currently use business intelligence solutions to support international strategic decision-making processes, most of them reveal a desire to use them because they expect it will have a positive impact on export performance and international competitiveness. The main factors for selecting a business intelligence solution are transparency of cost and benefits, excellent client service, and an attractive pricing model. The study results apply to all stakeholders who support the impact of business intelligence systems on the export performance of software firms in emerging economies. The article fulfils an identified need and call for research to study the use and impact of business intelligence on the way an emerging country’s exportation of goods actually performs, and the ability of its software firms to globalize successfully.10aartificial intelligence10abusiness intelligence10aemerging markets10aglobal marketing10ainternational business10ainternational entrepreneurship10ainternational management10amachine learning10aParaguay10asoftware industry1 aNeubert, Michael1 aVan der Krogt, Augustinus  uhttps://timreview.ca/article/118502261nas a2200265   4500008004100000022001400041245012800055210006900183260004200252300001000294490000600304520139900310653001401709653002801723653002601751653002101777653002401798653003001822653002901852100001801881700001801899700002301917700001801940856003701958       2017                        eng d  a1927-032100aUsing Artificial Intelligence and Web Media Data to Evaluate the Growth Potential of Companies in Emerging Industry Sectors0 aUsing Artificial Intelligence and Web Media Data to Evaluate the  aOttawabTalent First Networkc06/2017  a25-370 v73 aIn this article, we describe our efforts to adapt and validate a web search and analytics tool – the Gnowit Cognitive Insight Engine – to evaluate the growth and competitive potential of new technology startups and existing firms in the newly emerging precision medicine sector. The results are based on two different search ontologies and two different samples of firms. The first sample includes established drug companies operating in the precision medicine field and was used to estimate the relationship between the firms’ innovativeness and the extent of online discussions focusing on their potential growth. The second sample includes new technology firms in the same sector. The firms in the second sample were used as test cases to determine whether their growth-related web search scores would relate to the degree of their innovativeness. The second part of the study applied the same methodology to the real-time monitoring of the firms’ competitive actions. In our findings, we see that our methodology reveals a moderate degree of correlation between the Insight Engine’s algorithmically computed relevance scores and independent measures of innovation potential. The existence of such correlations invites future work in attempting to analyze company growth potential using techniques founded in web content scraping, natural language processing, and machine learning.10aanalytics10aartificial intelligence10abusiness intelligence10aentrepreneurship10aonline textual data10aprecision medicine sector10astartup growth potential1 aDroll, Andrew1 aKhan, Shahzad1 aEkhlas, Ehsanullah1 aTanev, Stoyan  uhttp://timreview.ca/article/1082