Google Search Activity as Entrepreneurship Thermometer

Martínez, Raúl Gómez; Román, Miguel Prado; Idoeta, Carmelo Mercado

doi:10.1007/978-3-319-08888-4_16

Cited by 6 publications

(1 citation statement)

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“…This treatment of the data in short time spans, has been applied in different studies [3] [2], [59], as an alternative method that took into account the serial dependence, and did not require a large number of observations. The aim is to transform the original observations to correct the autocorrelation between the residuals, so that once the data is processed, we can estimate how it influences the intervention [40]- [41] using the standard OLS (ordinary least squares) and alternatively, to confirm the model, by focusing on WLS (weighted least squares).…”

Section: Hypothesismentioning

confidence: 99%

The Collaborative Economy Based Analysis of Demand: Study of Airbnb Case in Spain and Portugal

Palos-Sánchez

Correia

2018

J. theor. appl. electron. commer. res.

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The rise of the collaborative economy has just started to become a reality in the economy of the countries in the European Union. The aim of this article is to use Goal -Question -Metric methodology to verify that the rise of Internet searches has an impact on collaborative economy. Specifically, Airbnb was the collaborative economy service analyzed. The demonstration was carried out with a statistical analysis of the Internet searches, looking at their evolution in Spain, Portugal and USA over the past 10 years. A working hypothesis was also defined to test whether the demand for information about Airbnb has a positive influence on the total spending of tourists who booked apartments in Spain during the period between July 2015 and August 2016. The results lead us to make a projection of growth for Airbnb service in the coming years. The case studied is very representative of this economic model, even though there is a large number of lesser-known websites. Finally, the results corroborate previous studies that defend that tools for studying trends and correlations of search terms are techniques that help decision making in studies and market research.

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Section: Hypothesismentioning

confidence: 99%