Articles producció científica> Gestió d'Empreses

Spanish Workers’ Judgement of Telecommuting during the COVID-19 Pandemic: A Mixed-Method Evaluation

  • Identification data

    Identifier: imarina:9330519
    Authors:
    de Andres-Sanchez, JorgeBelzunegui-Eraso, Angel
    Abstract:
    This study explores the drivers of employees’ attitudes towards home teleworking with Tobit regression and fuzzy-set qualitative comparative analysis (fsQCA). Drawing from technology acceptance models, it derives hypotheses regarding variable relationships and telecommuting perceptions. Data were obtained from a survey with 3104 responses conducted by the Spanish Agency “Centro de Investigaciones Sociológicas” in Spring 2021. The results emphasize the pivotal role of the family-life impact in shaping telecommuting perceptions, alongside factors like location, ICT satisfaction, employer support, and job adaptability. The results from fsQCA reveal an asymmetric influence of input factors on the positive and negative evaluations. Positive perceptions are associated with family-life positivity, firm support, strong ICT, and non-provincial residence, while negative attitudes relate to family-life negativity, lack of employer support, and poor connectivity. The main innovation of this paper lies in the combined use of correlational and configurational methods, enriching insights into employee telecommuting perceptions beyond traditional regression analysis.
  • Others:

    Author, as appears in the article.: de Andres-Sanchez, Jorge; Belzunegui-Eraso, Angel
    Department: Història i Història de l'Art Gestió d'Empreses
    URV's Author/s: Belzunegui Eraso, Angel Gabriel / De Andrés Sànchez, Jorge
    Keywords: Working from home Technology acceptance models Technology acceptance model Home teleworking Fuzzy-set qualitative comparative analysis Covid-19 pandemic Correlational methods Configurational methods working from home working user acceptance teleworking technology acceptance models stress perception outcomes information-technology fuzzy-set qualitative comparative analysis covid-19 pandemic correlational methods configurational methods agenda
    Abstract: This study explores the drivers of employees’ attitudes towards home teleworking with Tobit regression and fuzzy-set qualitative comparative analysis (fsQCA). Drawing from technology acceptance models, it derives hypotheses regarding variable relationships and telecommuting perceptions. Data were obtained from a survey with 3104 responses conducted by the Spanish Agency “Centro de Investigaciones Sociológicas” in Spring 2021. The results emphasize the pivotal role of the family-life impact in shaping telecommuting perceptions, alongside factors like location, ICT satisfaction, employer support, and job adaptability. The results from fsQCA reveal an asymmetric influence of input factors on the positive and negative evaluations. Positive perceptions are associated with family-life positivity, firm support, strong ICT, and non-provincial residence, while negative attitudes relate to family-life negativity, lack of employer support, and poor connectivity. The main innovation of this paper lies in the combined use of correlational and configurational methods, enriching insights into employee telecommuting perceptions beyond traditional regression analysis.
    Thematic Areas: Matemática / probabilidade e estatística Information systems Computer science, information systems Ciência da computação
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: jorge.deandres@urv.cat jorge.deandres@urv.cat angel.belzunegui@urv.cat
    Author identifier: 0000-0002-7715-779X 0000-0002-7715-779X 0000-0002-6355-1593
    Record's date: 2024-09-28
    Papper version: info:eu-repo/semantics/publishedVersion
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Information (Switzerland). 14 (9): 488-
    APA: de Andres-Sanchez, Jorge; Belzunegui-Eraso, Angel (2023). Spanish Workers’ Judgement of Telecommuting during the COVID-19 Pandemic: A Mixed-Method Evaluation. Information (Switzerland), 14(9), 488-. DOI: 10.3390/info14090488
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2023
    Publication Type: Journal Publications
  • Keywords:

    Computer Science, Information Systems,Information Systems
    Working from home
    Technology acceptance models
    Technology acceptance model
    Home teleworking
    Fuzzy-set qualitative comparative analysis
    Covid-19 pandemic
    Correlational methods
    Configurational methods
    working from home
    working
    user acceptance
    teleworking
    technology acceptance models
    stress
    perception
    outcomes
    information-technology
    fuzzy-set qualitative comparative analysis
    covid-19 pandemic
    correlational methods
    configurational methods
    agenda
    Matemática / probabilidade e estatística
    Information systems
    Computer science, information systems
    Ciência da computação
  • Documents:

  • Cerca a google

    Search to google scholar