Assessing Technology Platforms for Sustainability with Web Data Mining Techniques

Public policies have encouraged the proliferation of technology platforms that support the transition towards sustainable agriculture and the development of innovations in the food system. Provided the difficulty associated with assessing the outputs and outcomes of technology platforms, this work p...

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Main Authors: Desamparados Blazquez, Josep Domenech, Jose-Maria Garcia-Alvarez-Coque
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/10/12/4497
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spelling doaj-bf7cde4259814e86be9f7c8f07266d2c2020-11-24T21:33:18ZengMDPI AGSustainability2071-10502018-11-011012449710.3390/su10124497su10124497Assessing Technology Platforms for Sustainability with Web Data Mining TechniquesDesamparados Blazquez0Josep Domenech1Jose-Maria Garcia-Alvarez-Coque2Department of Economics and Social Sciences, Universitat Politècnica de València, 46022 València, SpainDepartment of Economics and Social Sciences, Universitat Politècnica de València, 46022 València, SpainDepartment of Economics and Social Sciences, Universitat Politècnica de València, 46022 València, SpainPublic policies have encouraged the proliferation of technology platforms that support the transition towards sustainable agriculture and the development of innovations in the food system. Provided the difficulty associated with assessing the outputs and outcomes of technology platforms, this work proposes a practical assessment method based on the retrieval and analysis of online documents related to the technology platforms. Concretely, the method consists of applying web scraping techniques to retrieve documents related to a technology platform from the Internet and then applying web data-mining techniques to automatically classify these documents into the functions that the platform should fulfill, which are described from the viewpoint of co-evolution of innovation. Data are automatically processed to obtain a variety of metrics, which are applied to measure the impact of European Technology Platforms (ETPs) on promoting an organic food paradigm. This method provides time-series data that helps to follow the evolution of the different functions of the platform and to describe its lifecycle. It has been applied to one platform taken as a case study, TP Organics, which represents a key platform for stakeholders that promote organic farming and agroecology as core components of an ambitious program for sustainable agriculture. The obtained online-based measures have been proven to assess the global evolution of the platform, its dissemination through the European Union (EU) Member States, and the evolution of the different functions expected to be fulfilled by it regarding the diffusion and promotion of innovations in organic agriculture.https://www.mdpi.com/2071-1050/10/12/4497technology platformssustainable agri-food systemsinnovation in sustainable agricultureonline datadata miningTP organics
collection DOAJ
language English
format Article
sources DOAJ
author Desamparados Blazquez
Josep Domenech
Jose-Maria Garcia-Alvarez-Coque
spellingShingle Desamparados Blazquez
Josep Domenech
Jose-Maria Garcia-Alvarez-Coque
Assessing Technology Platforms for Sustainability with Web Data Mining Techniques
Sustainability
technology platforms
sustainable agri-food systems
innovation in sustainable agriculture
online data
data mining
TP organics
author_facet Desamparados Blazquez
Josep Domenech
Jose-Maria Garcia-Alvarez-Coque
author_sort Desamparados Blazquez
title Assessing Technology Platforms for Sustainability with Web Data Mining Techniques
title_short Assessing Technology Platforms for Sustainability with Web Data Mining Techniques
title_full Assessing Technology Platforms for Sustainability with Web Data Mining Techniques
title_fullStr Assessing Technology Platforms for Sustainability with Web Data Mining Techniques
title_full_unstemmed Assessing Technology Platforms for Sustainability with Web Data Mining Techniques
title_sort assessing technology platforms for sustainability with web data mining techniques
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2018-11-01
description Public policies have encouraged the proliferation of technology platforms that support the transition towards sustainable agriculture and the development of innovations in the food system. Provided the difficulty associated with assessing the outputs and outcomes of technology platforms, this work proposes a practical assessment method based on the retrieval and analysis of online documents related to the technology platforms. Concretely, the method consists of applying web scraping techniques to retrieve documents related to a technology platform from the Internet and then applying web data-mining techniques to automatically classify these documents into the functions that the platform should fulfill, which are described from the viewpoint of co-evolution of innovation. Data are automatically processed to obtain a variety of metrics, which are applied to measure the impact of European Technology Platforms (ETPs) on promoting an organic food paradigm. This method provides time-series data that helps to follow the evolution of the different functions of the platform and to describe its lifecycle. It has been applied to one platform taken as a case study, TP Organics, which represents a key platform for stakeholders that promote organic farming and agroecology as core components of an ambitious program for sustainable agriculture. The obtained online-based measures have been proven to assess the global evolution of the platform, its dissemination through the European Union (EU) Member States, and the evolution of the different functions expected to be fulfilled by it regarding the diffusion and promotion of innovations in organic agriculture.
topic technology platforms
sustainable agri-food systems
innovation in sustainable agriculture
online data
data mining
TP organics
url https://www.mdpi.com/2071-1050/10/12/4497
work_keys_str_mv AT desamparadosblazquez assessingtechnologyplatformsforsustainabilitywithwebdataminingtechniques
AT josepdomenech assessingtechnologyplatformsforsustainabilitywithwebdataminingtechniques
AT josemariagarciaalvarezcoque assessingtechnologyplatformsforsustainabilitywithwebdataminingtechniques
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