Carlos Gustavo Castro

It has been documented that there is a positive relationship between a worker’s subjective well-being and productivity, and individuals who are happy in their work have a better attitude when performing activities: happier employees are more productive. Turnover intention, on the other hand, may arise from various factors rather than merely the need to increase a salary, as the traditional economic theory states. The fact that the work performed does not contribute to the worker’s life purpose, that there might be a bad relationship with colleagues, or else might play a role in the search for a new job. This study aims to show the relevance of meaningful work in happiness at work and turnover intention. Data from 937 professionals, in 2019, in Mexico were analyzed. Regression analyses were used to assess the impact of meaningful work on happiness at work and turnover intention. Results show that meaningful work, feeling appreciated by coworkers, and enjoyment of daily tasks significantly predict happiness at work. A logit model showed that having a job that contributes to people’s life purpose, feeling appreciated, and enjoyment of daily tasks reduces turnover intention. The main contribution of the study is to identify the importance of elements of purpose and meaning in the work context, contributing to economic theory. Limitations include the use of single items from a more extensive survey, which might diminish the validity and reliability of the constructs under scrutiny. Future directions point towards the need for more robust indicators of the variables of interest, but the findings emphasize the importance of research focused on the meaning workers attribute to their own work and the effects this attribution might have on their own wellbeing, organizational results, and productivity, including a return of investment (ROI) indicators.

Preventive behavior and decision-making processes depend greatly on risk perception. Incorporating the affective component in risk assessment provides valuable information for understanding COVID-19-related risk. The study aimed to adapt and validate the COVID-19 Risk Belief Scale and evaluating Intuitive Risk Perception and its association with anxiety and worry. A cross-sectional study was conducted analyzing data from 694 Mexican adults, which was collected through on-line platforms during 2020. The final CFA including 18 items showed adequate goodness-of-fit indices (RMSEA = 0.059, 90% CI [0.053, 0.065]; CFI = 0.95; TLI = 0.94; SRMR = 0.044) supporting a five-factor structure. Moderate levels of intuitive risk perception were found, as well as moderate to low levels of worry and somatic anxiety. Significant correlations between both measures and risk perception were observed. This study confirms the importance of the affective component within risk assessment and findings become highly significant considering the current worldwide pandemic conditions.

Positive Psychology has been devoted to enhancing well-being within organizations during the first two decades of the current millennium. Unfortunately, little data is available on current assessment related to positive psychology practices in the workplace. Therefore, to assess organizational well-being in a valid and reliable way, a new scale has been created and validated by the Institute for Wellbeing and Happiness at Tecmilenio University in Mexico: the BEAT Questionnaire whose main contribution to previous models is the element of meaningful work. EFA and CFA were carried out to determine and confirm the scale’s structure; internal consistency tests were performed too; additionally, convergence with measures of engagement, labor resources, and worker relations were also confirmed, and discriminant validity was tested by comparing associations with job search intentions and negative relationships in the workplace, yielding an instrument with four clearly defined latent dimensions, composed by 24 highly consistent items, convergent with three other valid and reliable scales. All procedures complied with statistical requirements, delivering a valid and reliable instrument for measuring well-being in the workplace.