From a previous project (Trademetrics) based on the cybermetric analysis of web links of brands, products, people of Spanish companies to calibrate their degree of internationalization, the need to expand the analysis model built by introducing metrics related to mentions textual or keywords, without these being necessarily associated with the existence of URLs, as well as the use of composite indicators that synthesize the measures provided by the model.
This will allow a much more exhaustive and granular analysis to be achieved, adding important advantages when it comes to measuring the international online visibility of companies, as well as studying alternative evidence of international visibility (especially by allowing the online supply and demand for content to be compared).
Therefore the main objective of this work is to develop a model that allows to verify the concordance between supply and demand in an industrial sector (wine) that facilitates the commercialization of its products in a foreign market (USA). In short, the main contributions and methodological innovations of this project are specified in the design of a combined analysis model of links and keywords, and in the development of a tool that allows exploiting big data to prepare marketable reports on demand.
Main objectives
OBTAIN rigorous and useful information both for decision-making by Spanish companies (especially SMEs) in the wine sector and for the development of appropriate strategies in terms of industrial policy.
VERIFY, through cybermetric techniques, if the online supply of Spanish wine is or is not aligned with the explicit demand of consumers on the Web.
FACILITATE the commercialization of wine in international markets through the application of an analysis model based on the integration of web indicators.
Specific objectives
APPLY the keyword analysis to obtain new evidence of international visibility of companies on the Web.
COMBINE keyword metrics with the pre-existing analysis model.
VALIDATE the robustness of the model by applying sensitivity analysis techniques.
DESIGN and DEVELOP an online product that allows the empirically constructed analysis model to be installed and put into operation.