@article {1185,
	title = {Impact of Business Intelligence Solutions on Export Performance of Software Firms in Emerging Economies},
	journal = {Technology Innovation Management Review},
	volume = {8},
	year = {2018},
	month = {09/2018},
	pages = {39-49},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {The 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{\textquoteright} 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{\textquoteright}s exportation of goods actually performs, and the ability of its software firms to globalize successfully.},
	keywords = {artificial intelligence, business intelligence, emerging markets, global marketing, international business, international entrepreneurship, international management, machine learning, Paraguay, software industry},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1185},
	url = {https://timreview.ca/article/1185},
	author = {Michael Neubert and Augustinus Van der Krogt}
}
@article {1158,
	title = {The Impact of Digitalization on the Speed of Internationalization of Lean Global Startups},
	journal = {Technology Innovation Management Review},
	volume = {8},
	year = {2018},
	month = {05/2018},
	pages = {44-54},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {Lean global startups need to internationalize early and fast. The digitalization of new foreign market development helps them to more efficiently identify new market opportunities in global markets. With this approach, they are saving resources while developing the most attractive markets. This article examines how lean global startups develop new foreign markets more rapidly due to digitalization. Thus, the aim is to understand the impact of digitalization on speed of internationalization of lean global startups. The study addresses a gap in the scholarly literature and a practical need to evaluate new foreign markets and business opportunities more quickly and more regularly and to understand what helps lean global startups react more quickly to opportunities and threats with respect to changing market attractiveness. Furthermore, it outlines why and how digitalization is important throughout the internationalization process. The research followed a multiple case-study design using different sources of evidence, including 73 interviews with senior managers of lean global startups. The findings reveal that digitalization allows lean global startups to increase decision-making efficiency and to optimize strategies and processes for evaluating international markets. The findings suggest that lean global startups can benefit from the use of digital technologies by applying a more efficient foreign market development process with regular reviews and a reduced workflow, by faster mediation between local market realities and strategic goals, by analyzing all foreign markets instead of just a sample of them, and by optimizing decision-making processes including the ability to make long-term, strategic decisions due to better market information. },
	keywords = {artificial intelligence, big data analytics, digitalization, global marketing, international business, international business development, international entrepreneurship, international management, lean global startup, machine learning},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1158},
	url = {http://timreview.ca/article/1158},
	author = {Michael Neubert}
}
