@article {1254,
	title = {Digital Payments: Impact Factors and Mass Adoption in Sub-Saharan Africa},
	journal = {Technology Innovation Management Review},
	volume = {9},
	year = {2019},
	month = {07/2019},
	pages = {41-55},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {This study explores impact factors that affect the adoption of digital payment systems in sub-Saharan Africa. In this article, we investigate the impact factors that subject-matter experts consider most important to the success of FinTech payment models. The data and their responses are evaluated through the lens of Christensen{\textquoteright}s market-creation theory, which contends that the adoption of market-creating innovations by a mass swathe of heretofore non-consumers {\textquotedblleft}pulls{\textquotedblright} framework conditions into place, including missing infrastructure and enabling regulation. Then, we compare the findings with the literature and three case studies of mobile money adoption in Kenya, South Africa, and Nigeria. This study addresses a gap in the literature regarding the payment and money transfer segment of FinTech innovations in Africa using a multiple case study methodology. We drew together information from multiple sources, including semi-structured interviews, archival data in the form of industry and regulatory reports, and observational field notes. Our findings suggest that enabling environments (Kenya) do jumpstart adoption and difficult frameworks (Nigeria) do evolve. This study will help FinTech innovators, academics, and policymakers to understand how technology and framework conditions impact payment business models in Africa. },
	keywords = {adoption, blockchain, FinTech, mobile money, non-consumption, payments, sub-Saharan Africa},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1254},
	url = {https://timreview.ca/article/1254},
	author = {Leigh Soutter and Kenzie Ferguson and Michael Neubert}
}
@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}
}
@article {1073,
	title = {Lean Internationalization: How to Globalize Early and Fast in a Small Economy},
	journal = {Technology Innovation Management Review},
	volume = {7},
	year = {2017},
	month = {05/2017},
	pages = {16-22},
	publisher = {Talent First Network},
	address = {Ottawa},
	abstract = {This study examines the early market internationalization of 32 high-tech startups that operate internationally from small and open economies. It uses a comparative cross-national multiple case study research design to explore how such startups may differ in their speed of internationalization. Based on interviews with the founders, the speed of early market internationalization in these startups increases significantly due to the application of lean market development processes. The findings provide a basis for developing propositions for further comparative studies focusing on the early and fast internationalization of high-tech startups based in emerging and developed markets. The study contributes to the literature on networks, internationalization, and international entrepreneurship.},
	keywords = {born-global firm, early and fast internationalization, global marketing, high-tech startup, international entrepreneurship, lean internationalization, small and open economy, Uppsala internationalization process},
	issn = {1927-0321},
	doi = {http://doi.org/10.22215/timreview/1073},
	url = {http://timreview.ca/article/1073},
	author = {Michael Neubert}
}
