The proliferation of misinformation on social media platforms is faster than the spread of Corona Virus Diseases (COVID-19) and it can generate hefty deleterious consequences on health amid a disaster like COVID-19. Drawing upon research on the stimulus-response theory (hypodermic needle theory) and the resilience theory, this study tested a conceptual framework considering general misinformation belief, conspiracy belief, and religious misinformation belief as the stimulus; and credibility evaluations as resilience strategy; and their effects on COVID-19 individual responses. Using a self-administered online survey during the COVID-19 pandemic, the study obtained 483 useable responses and after test, finds that all-inclusive, the propagation of misinformation on social media undermines the COVID-19 individual responses. Particularly, credibility evaluation of misinformation strongly predicts the COVID-19 individual responses with positive influences and religious misinformation beliefs as well as conspiracy beliefs and general misinformation beliefs come next and influence negatively. The findings and general recommendations will help the public, in general, to be cautious about misinformation, and the respective authority of a country, in particular, for initiating proper safety measures about disastrous misinformation to protect the public health from being exploited.

On account of slow adoption rate of Wearable Fitness Technology (WFT), the device designers need to comprehend the determinants behind the adoption and use of WFT. Which antecedents affect the intention of WFT wearers remains unclear and a brainteaser for designers, especially in developing countries. This study, therefore, examined the factors liable to influence the WFT users in a developing country using the extended ‘Unified Theory of Acceptance and Use of Technology’ (UTAUT2) model and ‘Perceived Reliability’. The desired data for assessment the model was assembled from 260 Bangladeshi respondents using a self-administered questionnaire through online platforms. The Partial-Least-Squares-Structural-Equation-Modeling (PLS-SEM) technique was followed by operationalizing SmartPLS 3.3.3 software to test the proposed hypotheses mentioned in the model. The outcomes of the test confirmed that the facilitating conditions and habit are the most influential determinants for intention-to-use and actual use of WFT followed by performance expectancy and facilitating conditions respectively. Contrariwise, effort expectancy was unearthed to have no notable impact on behavioral intention whereas price value showed negative association with intention. The documentation of the findings could benefit WFT vendors and those policymakers who have strong desire to enter in developing countries’ market.