Analysing and predicting a country’s entrepreneurial activity using insights from entrepreneurs’ digital footprint

• Published in: Journal of entrepreneurship in emerging economies 2024-02, Vol.16 (2), p.446-468
• Main Authors: Tekic, Zeljko, Parfenov, Andrei, Malyy, Maksim
• Format: Article
• Language: English
• Subjects: Aggregate data; Behavior; Big Data; Companies; Employment; Entrepreneurs; Entrepreneurship; Founders; Hypotheses; Internet; Policy making; Searches
• ISSN: 2053-4604; 2053-4612; 2053-4604
• DOI: 10.1108/JEEE-12-2022-0389

Purpose Starting from intention–behaviour models and building upon the growing evidence that aggregated internet search query data represent a good proxy of human interests and intentions. The purpose of this study is to demonstrate that the internet search traffic information related to the selected key terms associated with establishing new businesses, reflects well the dynamics of entrepreneurial activity in a country and can be used for predicting entrepreneurial activity at the national level. Design/methodology/approach Theoretical framework is based on intention–behaviour models and supported by the knowledge spillover theory of entrepreneurship. Monthly data on new business registration from 2018 to 2021 is derived from the open database of the Russian Federal Tax Service. Terms of internet search interest are identified through interviews with the recent founders of new businesses, whereas the internet search query statistics on the identified terms are obtained from Google Trends and Yandex Wordstat. Findings The results suggest that aggregated data about web searches related to opening a new business in a country is positively correlated with the dynamics of entrepreneurial activity in the country and, as such, may be useful for predicting the level of that activity. Practical implications The results may serve as a starting point for a new approach to measure, monitor and predict entrepreneurial activities in a country and can help in better addressing policymaking issues related to entrepreneurship. Originality/value To the best of the authors’ knowledge, this study is original in its approach and results. Building on intention–behaviour models, this study outlines, to the best of the authors’ knowledge, the first usage of big data for analysing the intention–behaviour relationship in entrepreneurship. This study also contributes to the ongoing debate about the value of big data for entrepreneurship research by proposing and demonstrating the credibility of internet search query data as a novel source of quality data in analysing and predicting a country’s entrepreneurial activity.