Giana de Vargas Mores

Prof. Giana de Vargas Mores

Faculdade Meridional, Passo Fundo, Rio Grande do Sul, Brazil
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2018 in Information Processing in Agriculture
Verified
Journal Article
Open access
DPDieisson Pivoto
Dieisson Pivoto
PWPaulo Dabdab Waquil
Paulo Dabdab Waquil
Edson TalaminiEdson Talamini
Edson Talamini
CFCaroline Pauletto Spanhol Finocchio
Caroline Pauletto Spanhol Finocchio
VCVitor Francisco Dalla Corte
Vitor Francisco Dalla Corte
GMGiana de Vargas Mores
Giana de Vargas Mores

1 March 2018 in Journal of Cleaner Production
Verified
Journal Article
Closed access
GMGiana de Vargas Mores
Giana de Vargas Mores
CFCaroline Pauletto Spanhol Finocchio
Caroline Pauletto Spanhol Finocchio
RBRodrigo Barichello
Rodrigo Barichello
EPEugenio Avila Pedrozo
Eugenio Avila Pedrozo

1 September 2020 in Land Use Policy
Verified
Journal Article
Closed access
CFCristian Rogério Foguesatto
Cristian Rogério Foguesatto
GMGiana de Vargas Mores
Giana de Vargas Mores
SKSilvana Dalmutt Kruger
Silvana Dalmutt Kruger
CCCarlos Costa
Carlos Costa

31 March 2024 in Sustainability
Verified
Journal Article
Open access
PDF file
APAline Carla Petkowicz
Aline Carla Petkowicz
TPTatiane Pelegrini
Tatiane Pelegrini
BBBrian William Bodah
Brian William Bodah
CRCarlos Daniel Rotini
Carlos Daniel Rotini
LMLeila Dal Moro
Leila Dal Moro
GMGiana de Vargas Mores
Giana de Vargas Mores
This study investigates Brazilian consumers’ purchase intentions for sustainably packaged products, applying the theory of planned behavior enhanced with environmental concern, knowledge, willingness to pay more, and trust. Data were collected from 509 participants via an online questionnaire, using convenience sampling. The questionnaire, based on previously validated scales, examined attitudes toward purchasing, subjective norms, perceived behavioral control, environmental variables, and purchase intentions. Descriptive analysis pointed out the prominence of environmental concern, positive purchasing attitudes, and purchase intentions. Principal component analysis reorganized variables into seven components, while cluster analysis identified three distinct consumer profiles: those prioritizing cost and information, environmentally conscious young consumers, and individuals influenced by social factors, with a strong sense of consumption control. The study reveals a widespread concern for the environment among respondents, highlighting the need for societal and political advancements in support of sustainable consumption practices.

6 March 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
YCYasmin Gomes Casagranda
Yasmin Gomes Casagranda
Joanna Wiśniewska-PaluszakJoanna Wiśniewska-Paluszak
Joanna Wiśniewska-Paluszak
Grzegorz PaluszakGrzegorz Paluszak
Grzegorz Paluszak
GMGiana de Vargas Mores
Giana de Vargas Mores
LMLeila Dal Moro
Leila Dal Moro
DZDebin Zhang
Debin Zhang
Brazil is one of the world’s biggest beef producers and its largest exporter. However, beef cattle ranching is a leading cause of deforestation and habitat conversion in the Brazilian Amazon, which challenges sustainable development. We adopted the triple bottom line (TBL) as a guiding theory of sustainability and assumed the necessity of a production system-specific approach. Based on an integrative literature analysis, we aimed to assess sustainability pillars in beef cattle production. The Web of Science, Scopus and Science Direct databases were searched for studies on mitigating the adverse impacts of beef cattle production before the COVID-19 pandemic outbreak. We found 108 references in these databases, 46 of which met the criteria for eligibility assessment, and ten studies were selected for textual cluster analysis and thematic synthesis. The review shows emergent research themes on sustainability in beef cattle production. It also elaborates a conceptual model of the sustainability pillars in the technique, science, and social aspects of the beef cattle sector that may guide the managerial and political strategies for the beef cattle supply chain in Brazil and other emerging markets. This study indicates that sustainable beef cattle development requires new digital technologies and ideas about sustainable supply chain management, which provides human, environmental, and animal welfare.

15 July 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
LMLeila Dal Moro
Leila Dal Moro
JMJanaina Mazutti
Janaina Mazutti
Luciana BrandliLuciana Brandli
Luciana Brandli
YCYasmin Gomes Casagranda
Yasmin Gomes Casagranda
GMGiana de Vargas Mores
Giana de Vargas Mores
Concerning sustainability and food production, efforts are made by social, political, and environmental actors to enact changes in production and consumption patterns and adopt new management models and instruments. Hunger, waste, poor distribution of food, and low diversity affect many countries, and small family farmers are abandoning their activities due to the challenges which minimize the possibilities of contemplating SDG 12. Local production and SDG 12 favor access to safe and cheaper food, thereby encouraging food security and minimizing food waste. Focus groups and interviews were conducted with the participation of local actors in 16 municipalities in southern Brazil. The study took a qualitative research approach and content analysis was used as a mode of investigation. It was then possible to provide assistance to the decision-making process of local and regional public authorities in terms of development to support sustainable production and consumption. This study highlights the contribution of family agriculture to the UN’s Sustainable Development Goals (SDG), specifically SDG 12. The study presents guidelines and means of implementation for a more sustainable family agriculture, as well as attributes to the challenges of the sector. With this approach, it was possible to connect the problem with the solutions, classifying them by thematic axes.