A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The Relationship between Search Engines and Entrepreneurship Development: A Granger-VECM Approach
The decision to set-up a business as a sole proprietor—also individual entrepreneur or sole trader—is a consequential one for every nascent entrepreneur. Sole proprietorship businesses have remained the most popular business structure in many countries, including the United States, the United Kingdom, and Russia, and are vital to the sustainable development of countries and regions. In this research, we developed a model to investigate if increased online interest in sole proprietorships led to the creation of new sole proprietorship businesses in four regions of Russia. Search engine data were retrieved from Russia’s most popular search engine, Yandex, whereas data on newly registered individual entrepreneurship businesses were retrieved from Russia’s Federal Tax Service. Our model was comprised of a range of statistical methods, including the augmented Dickey–Fuller unit root test, the Johansen cointegration test, the Granger causality Wald test, and the vector error correction model. The results revealed a unidirectional causal relationship between search engine data and newly established individual entrepreneurship businesses. This means that interest in individual entrepreneurship, measured through search engine data, influenced the creation of new individual entrepreneurship businesses. This research provides a pioneering empirical investigation of the topic in post-Soviet states, and its main contribution includes introducing search engine data as a key tool for assessing entrepreneurial intention.
The Relationship between Search Engines and Entrepreneurship Development: A Granger-VECM Approach
The decision to set-up a business as a sole proprietor—also individual entrepreneur or sole trader—is a consequential one for every nascent entrepreneur. Sole proprietorship businesses have remained the most popular business structure in many countries, including the United States, the United Kingdom, and Russia, and are vital to the sustainable development of countries and regions. In this research, we developed a model to investigate if increased online interest in sole proprietorships led to the creation of new sole proprietorship businesses in four regions of Russia. Search engine data were retrieved from Russia’s most popular search engine, Yandex, whereas data on newly registered individual entrepreneurship businesses were retrieved from Russia’s Federal Tax Service. Our model was comprised of a range of statistical methods, including the augmented Dickey–Fuller unit root test, the Johansen cointegration test, the Granger causality Wald test, and the vector error correction model. The results revealed a unidirectional causal relationship between search engine data and newly established individual entrepreneurship businesses. This means that interest in individual entrepreneurship, measured through search engine data, influenced the creation of new individual entrepreneurship businesses. This research provides a pioneering empirical investigation of the topic in post-Soviet states, and its main contribution includes introducing search engine data as a key tool for assessing entrepreneurial intention.
The Relationship between Search Engines and Entrepreneurship Development: A Granger-VECM Approach
Michael Olumekor (author) / Hossam Haddad (author) / Nidal Mahmoud Al-Ramahi (author)
2023
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Forecasting Model of Construction Cost Index Based on VECM with Search Query
| Springer Verlag | 2017
Forecasting Model of Construction Cost Index Based on VECM with Search Query
| Online Contents | 2018