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Browsing by Issue Date, starting with "2021-09-09"

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  • Virtual and augmented reality in human resource management and development: A systematic literature review
    Publication . Ferreira, Pedro; Meirinhos, Viviana; Rodrigues, Ana C.; Marques, António
    The growing interest in virtual and augmented reality applied to business leads companies to explore possible applications in several management areas. The application of virtual and augmented reality to human resources management and development is also underway. Despite this growing trend, there is a lack of scientifically grounded information on what is being done, how, and the results. This research aims to fill this gap by mapping the scientific knowledge regarding virtual and augmented reality in human resources management and development. To accomplish this goal, we undertook a systematic literature review following the six main steps of the research protocol: 1) formulation of the research question; 2) definition of objectives for the systematic review; 3) description of inclusion criteria; 4) research strategy; 5) selection procedure; 6) procedure for data extraction and categorization. The findings were analyzed based on two main groups of categories. The first group reports categories related to the document description; the second group is focused on the potential use and impact of virtual and augmented reality in human resources management and development processes. The results show that virtual and augmented reality in human resources management and development is still in a very early stage, requiring more in-depth research. The results so far are promising, namely in terms of the impact that this technology can produce in some human resources management and development processes. Future paths of research are also pointed out
    2021-09-09Journal article Open access Show more
  • Correlating the Effect of Covid-19 Lockdown with Mobility Impacts: A Time Series Study Using Noise Sensors Data
    Publication . D'Orey, Pedro; Pascale, Antonio; Coelho, Margarida C.; Mancini, Simona; Guarnaccia, Claudio
    The Covid-19 crisis forced governments around the world to rapidly enact several restrictions to face the associated health emergency. The Portuguese government was no exception and, following the example of other countries, established various limitations to flat the contagions curve. This led to inevitable repercussions on mobility and environmental indicators including noise. This research aims to assess the impact of the lockdown due to Covid-19 disease on the noise levels recorded in the city of Porto, Portugal. Data from four noise sensors located in strategic spots of the city were used to calibrate and validate Time Series Models, allowing to impute the missing values in the datasets and rebuild them. The trend and the cyclic information were extracted from the reconstructed datasets using decomposition techniques. Finally, a Spearman correlation analysis between noise levels values and traffic volumes (extracted from five inductive loop detectors, located nearby the noise sensors) was performed. Results show that the noise levels series present a daily seasonal pattern and the trends values decreased from 6.7 to 7.5 dBA during the first lockdown period (March-May 2020). Moreover, the noise levels tend to gradually rise after the removal of restrictions. Finally, there is a monotonic relationship between noise levels and traffic volumes values, as confirmed by the positive moderate-to-high correlation coefficients found, and the sharp drop of the former during March-May 2020 can be attributed to the strong reduction of road traffic flows in the city.
    2021-09-09Conference object Open access Show more