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2.
Technology in Society ; 72:102195, 2023.
Artículo en Inglés | ScienceDirect | ID: covidwho-2165896

RESUMEN

We examine how individual characteristics of employees such as digital self-efficacy, workforce agility, innovativeness, and commitment to change influence technological readiness in different stages of a crisis, i.e., before a crisis and during a crisis. We carried out a fuzzy set qualitative comparative analysis (fsQCA) on data from 2892 employees representing companies across several sectors and countries. Our results show that specific characteristics of employees can be beneficial for reaching technological readiness in organisations before a crisis and during a crisis. Our results, e.g., show that digital self-efficacy has a differential impact on technological readiness prior to a crisis and during a crisis while workforce agility is essential for both phases.

3.
PLoS One ; 17(3): e0265330, 2022.
Artículo en Inglés | MEDLINE | ID: covidwho-1896454

RESUMEN

[This corrects the article DOI: 10.1371/journal.pone.0263022.].

4.
Glob Transit ; 2: 76-82, 2020.
Artículo en Inglés | MEDLINE | ID: covidwho-728561

RESUMEN

With a large international sample (n = 8317), the present study examined which beliefs and attitudes about COVID-19 predict 1) following government recommendations, 2) taking health precautions (including mask wearing, social distancing, handwashing, and staying at home), and 3) encouraging others to take health precautions. The results demonstrate the importance of believing that taking health precautions will be effective for avoiding COVID-19 and generally prioritizing one's health. These beliefs continued to be important predictors of health behaviors after controlling for demographic and personality variables. In contrast, we found that perceiving oneself as vulnerable to COVID-19, the perceived severity of catching COVID-19, and trust in government were of relatively little importance. We also found that women were somewhat more likely to engage in these health behaviors than men, but that age was generally unrelated to voluntary compliance behaviors. These findings may suggest avenues and dead ends for behavioral interventions during COVID-19 and beyond.

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