Background: The COVID-19 pandemic affected the work environment worldwide and forced companies to adopt work from home (WFH) suddenly.

Objective: This study aims to identify factors that influence productivity in the WFH modality, considering the Brazilian scenario in the COVID-19 context.

Methods: The approach used was a Delphi method with 19 specialists in the subject. Three rounds were conducted; in the third round, specialists indicated how the factor influences productivity through a scale. For the data collected in this last round, data was analysed via Grey Relational Analysis technique.

Results: The results indicated that 17 factors could influence productivity in the WFH modality in the analysed context. Comparatively, the five factors with more capacity to influence productivity are 1) Availability of adequate equipment and peripherals to develop the work activities; 2) leadership support; 3) The adequate place to develop work activities; 4) Internet and electricity supply stability; and 5) Clarity from the collaborator regarding their role in the company, responsibilities and activities to be developed. The frequency analysis indicated that factors affect at least moderately productivity in WFH modality.

Conclusions: This article contributes to increasing knowledge associated with the WFH modality in the context of the COVID-19 pandemic. The information present here can be used by academics and managers, even in a post-pandemic scenario, to debate productivity in remote work modalities.

Download full-text PDF

Source
http://dx.doi.org/10.3233/WOR-211212DOI Listing

Publication Analysis

Top Keywords

influence productivity
12
productivity wfh
12
wfh modality
12
scenario covid-19
8
covid-19 pandemic
8
factors influence
8
indicated factors
8
develop work
8
work activities
8
productivity
7

Similar Publications

Effects of using microalgae in poultry diets on the production and quality of meat and eggs: a review.

Br Poult Sci

January 2025

LEAF- Linking Landscape, Environment, Agriculture and Food Research Center, Associate Laboratory TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, Lisboa, Portugal.

1. This review was conducted to examine the nutritional composition of microalgae and their effects as a feed ingredient in poultry diets, delving into their influence on the production and quality of meat and eggs. Data collection focused on peer-reviewed scientific articles, with no limitation on the temporal horizon.

View Article and Find Full Text PDF

Microbiological and toxicity analyses of the synthetic polymer polyhexamethylene guanidine hydrochloride against endodontic microorganisms.

Braz J Microbiol

January 2025

Department of Postgraduate Program in Animal Science, University of Franca (UNIFRAN), Av. Dr. Armando Salles Oliveira, 201, Parque Universitário, Franca, SP, CEP 14.404-600, Brazil.

Failures in endodontic treatments are common due to microbial resistance in the pulp canal. The study evaluated the in vitro activity of polyhexamethylene guanidine hydrochloride (PHMGH) against endodontic strains, as well as in vivo toxicity. Using minimum inhibitory concentration and minimum bactericidal concentration techniques, PHMGH was effective against all microorganisms, even at low concentrations.

View Article and Find Full Text PDF

Carbon dots in biosensing have advanced significantly, adding improvements to different detection techniques. In this study, an amperometric immunosensor for Salmonella Thyphimurium was designed using antibodies labeled with carbon dots (Cdots) from pequi almond (Caryocar brasiliensis). Cdots were synthesized by pyrolysis and characterized by FTIR, UV/fluorescence, electrochemistry, zeta potential, and transmission electron microscopy (TEM).

View Article and Find Full Text PDF

Evaluating a clinically available artificial intelligence model for intracranial aneurysm detection: a multi-reader study and algorithmic audit.

Neuroradiology

January 2025

Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, Jiangsu, China.

Purpose: We aimed to validate a clinically available artificial intelligence (AI) model to assist general radiologists in the detection of intracranial aneurysm (IA) in a multi-reader multi-case (MRMC) study, and to explore its performance in routine clinical settings.

Methods: Two distinct cohorts of head CT angiography (CTA) data were assembled to validate an AI model. Cohort 1, comprising gold-standard consecutive CTA cases, was used in an MRMC study involving six board-certified general radiologists.

View Article and Find Full Text PDF

Purpose Of Review: The role of the lymphatic system in clearing extravasated fluids, lipid transport, and immune surveillance is well established, and lymphatic vasculature can provide a vital role in facilitating crosstalk among various organ systems. Lymphatic vessels rely on intrinsic and local factors to absorb and propel lymph from the interstitium back to the systemic circulation. The biological implications of local influences on lymphatic vessels are underscored by the exquisite sensitivity of these vessels to environmental stimuli.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!