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This paper reports results of an investigation into semi-urban Ghanaian university youths' attitude to digitized financial services (DFSs) and the determinants of their adoption decisions.

Quantitative cross-sectional research approach was used. Three hundred and seventy-five (375) university students were randomly selected from a semi-urban town in Ghana to test the applicability of technology acceptance model (TAM) within such a context. Structural equation modeling was employed to assess stated hypotheses.

The results indicate a high penetration of digital financial services among the students, which confirms the applicability of TAM for such studies. The results further suggest that DFS provides a pathway to financial inclusion and can stimulate small enterprise development and job creation in Ghana's semi-urban communities.

Hitherto, little academic attention has been given to digitization of financial services in semi-urban African towns. The study contributes to filling this research gap.

Understanding the factors that influence individuals’ adherence to social distancing is critical to effective policymaking in respiratory pandemics such as COVID-19. This study aims to explore the role of social factors in relation to social distancing measures.

Stratified convenience sampling was used in this survey research, involving 450 adults residing in both rural and urban areas of Aligodarz County, Lorestan, Iran.

The findings showed that approximately 14% of participants did not adhere to any of the assessed social distancing behaviors, while only around 30% adhered to all four assessed behaviors. On average, participants reported having 5.13 (SD = 3.60) close physical contact within the 24 h prior to completing the questionnaire. Bridging social capital and gender emerged as the most frequently observed predictors across the assessed social distancing measures. Additionally, age, employment status and residential setting were identified as influential factors for some of the evaluated measures.

This study contributes to the field by highlighting that the likelihood of non-adherence to social distancing measures tends to increase among male participants, those aged above 60, employed individuals, urban residents and those with a higher level of bridging social capital.