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Arturo Molina
Researcher at Monterrey Institute of Technology and Higher Education
Publications - 405
Citations - 6386
Arturo Molina is an academic researcher from Monterrey Institute of Technology and Higher Education. The author has contributed to research in topics: Enterprise integration & Computer science. The author has an hindex of 33, co-authored 381 publications receiving 5337 citations. Previous affiliations of Arturo Molina include Universidad Autónoma del Estado de México & Loughborough University.
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Collaborative networked organizations - Concepts and practice in manufacturing enterprises
TL;DR: The key concepts related to CNOs are described, a high level classification of collaborative networks is provided, and some application cases in the manufacturing industry are presented.
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Collaborative networked organisations and customer communities: value co-creation and co-innovation in the networking era
David Romero,Arturo Molina +1 more
TL;DR: In this article, the authors look at the network structures as a source of jointly value creation and open innovation through access to new skills, knowledge, markets and technologies by sharing risk and integrating complementary competencies.
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Genetic Diversity in Cultivated Common Bean: II. Marker-Based Analysis of Morphological and Agronomic Traits
TL;DR: This study examined the organization of diversity for morphological and agronomic characteristics in 306 landraces of cultivated common bean (Phaseolus vulgaris L.) from Latin America and its relationship with phaseolin seed protein and allozyme diversity of the landrace.
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Enterprise integration and interoperability in manufacturing systems: Trends and issues
Hervé Panetto,Arturo Molina +1 more
TL;DR: Challenges, trends and issues that must be addressed in order to support the generation of new technological solutions are described.
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A tenant-based resource allocation model for scaling Software-as-a-Service applications over cloud computing infrastructures
Javier Espadas,Arturo Molina,Guillermo Jimenez,Martin Molina,Raúl Antonio Trejo Ramírez,David Concha +5 more
TL;DR: This work attempts to establish formal measurements for under and over provisioning of virtualized resources in cloud infrastructures, specifically for SaaS platform deployments and proposes a resource allocation model to deploy SAAS applications over cloud computing platforms by taking into account their multi-tenancy, thus creating a cost-effective scalable environment.