A Framework to Build a Big Data Ecosystem Oriented to the Collaborative Networked Organization
A Collaborative Networked Organization (CNO) is a set of entities that operate in heterogeneous contexts and aim to collaborate to take advantage of a business opportunity or solve a problem. Big data allows CNOs to be more competitive by improving their strategy, management and business processes....
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/22/11494 |
| _version_ | 1797465970697043968 |
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| author | Jorge-Arturo Hernandez-Almazan Ricardo Chalmeta Ramón Ventura Roque-Hernández Rubén Machucho-Cadena |
| author_facet | Jorge-Arturo Hernandez-Almazan Ricardo Chalmeta Ramón Ventura Roque-Hernández Rubén Machucho-Cadena |
| author_sort | Jorge-Arturo Hernandez-Almazan |
| collection | DOAJ |
| description | A Collaborative Networked Organization (CNO) is a set of entities that operate in heterogeneous contexts and aim to collaborate to take advantage of a business opportunity or solve a problem. Big data allows CNOs to be more competitive by improving their strategy, management and business processes. To support the development of big data ecosystems in CNOs, several frameworks have been reported in the literature. However, these frameworks limit their application to a specific CNO manifestation and cannot conduct intelligent processing of big data to support decision making at the CNO. This paper makes two main contributions: (1) the proposal of a metaframework to analyze existing and future frameworks for the development of big data ecosystems in CNOs and (2) to show the Collaborative Networked Organizations–big data (CNO-BD) framework, which includes guidelines, tools, techniques, conceptual solutions and good practices for the building of a big data ecosystem in different kinds of Collaborative Networked Organizations, overcoming the weaknesses of previous issues. The CNO-BD framework consists of seven dimensions: levels, approaches, data fusion, interoperability, data sources, big data assurance and programmable modules. The framework was validated through expert assessment and a case study. |
| first_indexed | 2024-03-09T18:30:10Z |
| format | Article |
| id | doaj.art-45a40a0b5ab14a4284b2d14a55f40a4f |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T18:30:10Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-45a40a0b5ab14a4284b2d14a55f40a4f2023-11-24T07:36:14ZengMDPI AGApplied Sciences2076-34172022-11-0112221149410.3390/app122211494A Framework to Build a Big Data Ecosystem Oriented to the Collaborative Networked OrganizationJorge-Arturo Hernandez-Almazan0Ricardo Chalmeta1Ramón Ventura Roque-Hernández2Rubén Machucho-Cadena3Department of Knowledge-Driven Systems, Universidad Politécnica de Victoria, Ciudad Victoria 87138, MexicoSystems Integration and Re-Engineering Group (IRIS), Lenguajes y Sistemas Informáticos Departament, Universitat Jaume I, 12006 Castelló de la Plana, SpainFacultad de Comercio, Administración y Ciencias Sociales, Universidad Autónoma de Tamaulipas, Nuevo Laredo 88000, MexicoDepartment of Knowledge-Driven Systems, Universidad Politécnica de Victoria, Ciudad Victoria 87138, MexicoA Collaborative Networked Organization (CNO) is a set of entities that operate in heterogeneous contexts and aim to collaborate to take advantage of a business opportunity or solve a problem. Big data allows CNOs to be more competitive by improving their strategy, management and business processes. To support the development of big data ecosystems in CNOs, several frameworks have been reported in the literature. However, these frameworks limit their application to a specific CNO manifestation and cannot conduct intelligent processing of big data to support decision making at the CNO. This paper makes two main contributions: (1) the proposal of a metaframework to analyze existing and future frameworks for the development of big data ecosystems in CNOs and (2) to show the Collaborative Networked Organizations–big data (CNO-BD) framework, which includes guidelines, tools, techniques, conceptual solutions and good practices for the building of a big data ecosystem in different kinds of Collaborative Networked Organizations, overcoming the weaknesses of previous issues. The CNO-BD framework consists of seven dimensions: levels, approaches, data fusion, interoperability, data sources, big data assurance and programmable modules. The framework was validated through expert assessment and a case study.https://www.mdpi.com/2076-3417/12/22/11494data analyticsinteroperabilityknowledge managementknowledge discoveryinformation systemsenterprise networks |
| spellingShingle | Jorge-Arturo Hernandez-Almazan Ricardo Chalmeta Ramón Ventura Roque-Hernández Rubén Machucho-Cadena A Framework to Build a Big Data Ecosystem Oriented to the Collaborative Networked Organization Applied Sciences data analytics interoperability knowledge management knowledge discovery information systems enterprise networks |
| title | A Framework to Build a Big Data Ecosystem Oriented to the Collaborative Networked Organization |
| title_full | A Framework to Build a Big Data Ecosystem Oriented to the Collaborative Networked Organization |
| title_fullStr | A Framework to Build a Big Data Ecosystem Oriented to the Collaborative Networked Organization |
| title_full_unstemmed | A Framework to Build a Big Data Ecosystem Oriented to the Collaborative Networked Organization |
| title_short | A Framework to Build a Big Data Ecosystem Oriented to the Collaborative Networked Organization |
| title_sort | framework to build a big data ecosystem oriented to the collaborative networked organization |
| topic | data analytics interoperability knowledge management knowledge discovery information systems enterprise networks |
| url | https://www.mdpi.com/2076-3417/12/22/11494 |
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