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Your search keyword '"Garcia, Jorge Esparteiro"' showing total 3 results
Start Over Author "Garcia, Jorge Esparteiro" Topic sustainability
3 results on '"Garcia, Jorge Esparteiro"'

1. ESG in Advertising Narratives: Case Analysis of Golden Lion Winning Campaigns at Cannes 2022

Author

de Araújo, Daniel Ladeira, Garcia, Jorge Esparteiro, da Fonseca, Manuel José Serra, Andrade, José Gabriel, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Rocha, Alvaro, editor, Adeli, Hojjat, editor, Dzemyda, Gintautas, editor, Moreira, Fernando, editor, and Colla, Valentina, editor

Published
2024
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2. Using EPP Boxes in a Dark Store: A New Approach to Simplify Food Retail E-Commerce Deliveries

Author

Pintado Eduardo, de Oliveira Lia Coelho, and Garcia Jorge Esparteiro

Subjects
e-commerce, transportation, sustainability, dark store, food retail, case study, l81, l91, q56, l16, Business, HF5001-6182
Abstract

Background: E-commerce has emerged as a good response to the pandemic of COVID-19. However, the costs of providing a service, which includes a driver and a vehicle, in a regular vehicle that can transport goods that need positive cold (0° to 5°C) are very high.

Published
2022
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3. Sustainable development goal 9 in a cluster perspective: A case study for Alto Minho Region.

Author

Abreu, Mariana, Rodrigues, Helena Sofia, Silva, Ângela, and Garcia, Jorge Esparteiro

Subjects
SUSTAINABLE development, SUSTAINABILITY, EUCLIDEAN distance, CLUSTER analysis (Statistics)
Abstract

The United Nations has set Sustainable Development Goals (SDGs) to build a more sustainable future. The SDG analyzes progress to understand major implementation challlenges, define disparities across nations or regions, and propose priorities for action. It has 17 objectives and more than 200 indicators. Cluster analysis was used to categorize the 10 municipalities. It was carried out using IBM SPSS software, which calculated the Euclidean distance and put the investigated regions into clusters with the traits they shared the most in common. [ABSTRACT FROM AUTHOR]

Published
2024
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