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Publication
Preditores de produtividade no trabalho
Authors
Advisor(s)
Abstract(s)
Introdução: Importa conhecer os fatores que influenciam a produtividade, incluindo o
bem-estar dos trabalhadores, avaliando questões de saúde, felicidade e utilização da
internet. O objetivo do estudo é explorar se as variáveis sociodemográficas e de saúde,
dependência da internet, felicidade e florescimento preveem a influência na produtividade
no trabalho. Método: No total, 1.000 indivíduos (mulheres: n=684), com idades entre 19-
75 anos (M=40.76; DP=10.575) preencheram um questionário para avaliar informação
sociodemográfica e relacionada com a saúde, dependência da internet (Internet Addiction
Test), felicidade (PERMA), florescimento (Flourishing Scale) e produtividade
relacionada com o trabalho (Health and Work). O modelo de equações estruturais foi
utilizado para explorar a relação entre a variável dependente (performance) e as variáveis
independentes. Resultados: O modelo estrutural revelou um ajustamento sofrível
(χ
2
/df=3.809; CFI=0.872; TLI=0.865; RMSEA=0.053). Participantes melhor qualidade
do sono apresentam melhores níveis de concentração e satisfação no trabalho
(.090<β<.051; .001<p<.011), participantes que não apresentam dependência da internet
revelam melhores níveis de produtividade, concentração e satisfação fora do trabalho (-
.091<β<.132;.002<p<.001), participantes com bons maiores níveis felicidade apresentam
melhores níveis em quase todas as dimensões da performance (.919<β<-.115;
.001<p<.004) e participantes com níveis de florescimento mais elevados revelam
melhores níveis de concentração e satisfação fora do trabalho (.321<β<-.136;p<.001).
Finalmente, participantes mais velhos (β=.082;p<.001) e participantes masculinos
apresentaram maior concentração (β=-.057;p=.014). Conclusão: A dependência da
internet pode comprometer recursos importantes, sendo benéfico as empresas investirem
em estratégias de promoção do significado, envolvimento, crescimento nas relações
positivas dos colaboradores no local de trabalho, proporcionando um ambiente
empresarial vantajoso.
Introduction: It is important to know what predicts productivity, without neglecting the well-being of employees at the workplace. So, issues related to health, happiness and internet usage become essential to assess. The aim of this study is to explore whether sociodemographic and health variables, as well as internet dependence, happiness and flourishing predict work-related productivity. Methods: Overall, 1.000 individuals (women: n=684), aged 19-75 years (M=40.76; SD=10.575) filled in a questionnaire to assess sociodemographic and health-related information, internet addiction (Internet Addiction Test), happiness (PERMA), flourishing (Flourishing Scale) and work-related performance (Health and Work). Structural equation modelling was used to explore the relationship of the dependent variable (performance) and the independent variables. Results: The structural model revealed a sufferable fit (χ2 /df=3.809; CFI=0.872; TLI=0.865; RMSEA=0.053). Participants with good sleep quality show good levels of concentration and job satisfaction (.090<β<.051; .001<p<.011), participants with internet dependence show good levels of productivity, concentration and satisfaction outside of work (-.091<β<-.132; .002<p<.001), participants with good levels happiness show good levels on all dimensions of performance (.919<β<-.115; .001<p<.004) and participants with good levels of flourishing associate with concentration and satisfaction outside of work (.321<β<-.136;p<.001). Finally, older (β=.082;p<.001) and male participants presented higher concentration (β=-.057;p=.014). Discussion: Furthermore, internet dependence can compromise important resources. Enterprises and leaders would benefit from investing in strategies to promote meaning, engagement, positive relationships, as well as growth and resilience (which might aid with a healthy and functional use of the internet) of Collaborators at the workplace, building a win-win reality in a corporate environment.
Introduction: It is important to know what predicts productivity, without neglecting the well-being of employees at the workplace. So, issues related to health, happiness and internet usage become essential to assess. The aim of this study is to explore whether sociodemographic and health variables, as well as internet dependence, happiness and flourishing predict work-related productivity. Methods: Overall, 1.000 individuals (women: n=684), aged 19-75 years (M=40.76; SD=10.575) filled in a questionnaire to assess sociodemographic and health-related information, internet addiction (Internet Addiction Test), happiness (PERMA), flourishing (Flourishing Scale) and work-related performance (Health and Work). Structural equation modelling was used to explore the relationship of the dependent variable (performance) and the independent variables. Results: The structural model revealed a sufferable fit (χ2 /df=3.809; CFI=0.872; TLI=0.865; RMSEA=0.053). Participants with good sleep quality show good levels of concentration and job satisfaction (.090<β<.051; .001<p<.011), participants with internet dependence show good levels of productivity, concentration and satisfaction outside of work (-.091<β<-.132; .002<p<.001), participants with good levels happiness show good levels on all dimensions of performance (.919<β<-.115; .001<p<.004) and participants with good levels of flourishing associate with concentration and satisfaction outside of work (.321<β<-.136;p<.001). Finally, older (β=.082;p<.001) and male participants presented higher concentration (β=-.057;p=.014). Discussion: Furthermore, internet dependence can compromise important resources. Enterprises and leaders would benefit from investing in strategies to promote meaning, engagement, positive relationships, as well as growth and resilience (which might aid with a healthy and functional use of the internet) of Collaborators at the workplace, building a win-win reality in a corporate environment.
Description
Dissertação de Mestrado apresentada no ISPA – Instituto
Universitário para obtenção de grau de Mestre
na especialidade de Psicologia Clínica.
Keywords
Produtividade Felicidade Florescimento Adição à internet Organização Productivity Happiness Flourishing Internet addiction Organization