Cleyson Santos de Paiva

Prof. Cleyson Santos de Paiva

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

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

Representative Publications

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22 May 2024 in Sustainability
Verified
Journal Article
Open access
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CPCleyson Santos de Paiva
Cleyson Santos de Paiva
FBFelipe Gomes Batista
Felipe Gomes Batista
DSDanillo Wisky Silva
Danillo Wisky Silva
MSMário Vanoli Scatolino
Mário Vanoli Scatolino
DMDayane Targino de Medeiros
Dayane Targino de Medeiros
MDMarali Dias
Marali Dias
The diversity of species in Amazonia is exceptionally vast and unique, and it is of great interest for industry sectors to explore the potential of derivatives with functional properties for packaging applications. This study proposes the functionalization of cellulose micro/nanofibril (MFC/NFC) suspensions from Heteropsis flexuosa with andiroba oil to produce films with packaging potential. MFC/NFC was produced by using mechanical fibrillation from suspensions of H. flexuosa fibers. Proportions of 1, 3, and 5% of andiroba oil were added to make films with concentrations of 1% (m/m). Suspensions with andiroba oil provided greater viscosity, with changes in the physical properties of the films. Functionalization with andiroba oil provided films with lower degradation in water, greater contact angle, and lower wettability despite high permeability to water vapor. The films with 1% andiroba oil showed a hydrophobic characteristic (contact angle > 90°) and greater puncture resistance (6.70 N mm−1). Films with 3% oil showed a more transparent appearance and high biodegradation, while 1% oil generated more opaque films with a higher thermal degradation temperature and high antioxidant activity. It was concluded that films produced from H. flexuosa fibers functionalized with andiroba oil showed packaging potential for light, low-moisture products due to their adequate thermal and barrier characteristics.

5 September 2024 in Revista de Gestão Social e Ambiental
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Journal Article
Open access
PDF file
JOJuliane de Sousa Oliveira
Juliane de Sousa Oliveira
Agenor Sousa SousaAgenor Sousa Sousa
Agenor Sousa Sousa
CPCleyson Santos de Paiva
Cleyson Santos de Paiva
JSJULIO CESAR VALANDRO SOARES
JULIO CESAR VALANDRO SOARES
Objective: This study aims to investigate the satisfaction of post-paid mobile phone users in the State of Goiás, analyzing the interrelationships between perceived quality, perceived value, and consumer expectations. Theoretical Framework: The study addresses fundamental concepts related to customer satisfaction, perceived quality, and the relevance of expectations in the service sector. It emphasizes the need for operators to understand the main factors influencing the perception of quality, taking into account regional variations in consumer preferences. Method: The research employed Structural Equation Modeling (SEM) to analyze data obtained from the Anatel satisfaction survey of 2021, involving 172 respondents. The reliability of the questionnaire was validated through Cronbach's alpha coefficient. Results and Discussion: The results indicated that perceived quality does not have a direct and significant effect on the overall satisfaction of users. In contrast, both perceived value and expectations showed significant relationships with satisfaction. This suggests that operators should prioritize clarity in information and agility in service to enhance the customer experience. Research Implications: The implications highlight the necessity for operators to adjust their practices to more effectively meet the specific demands of consumers, promoting greater transparency and efficiency in the services offered. Originality/Value: This study contributes to the understanding of the factors influencing customer satisfaction in the telecommunications sector, highlighting the importance of managing expectations. Additionally, it suggests directions for future research, including the application of statistical methodologies and artificial intelligence approaches to deepen the analysis of variables related to customer satisfaction.