This paper evaluates the ability of potential female employees to telecommute in the selected business organizations in Kuala Lumpur, Malaysia. The ability to telecommute by the potential female employees was determined by targeting few employment types namely clerical, professional, associate professional and manager through a pre-designed questionnaire survey. A binary logistic regression model was developed to evaluate the effects of the explanatory variables on the ability to telecommute by controlling and not controlling the “employing industries” and “employment categories”. The results of the model reveal that ‘having prior experience working from home’ and ‘increase in the frequency of telephone usage’ almost doubles the ability to telecommute, whereas ‘spending considerable time working with others’ and the ‘frequent use of the photocopier’ reduces it. The respondents employed in the ‘financial intermediation’ and ‘real estate industries’ were approximately 2.5 times more likely to be able to telecommute as compared to those employed in the ‘telecommunication industry’. Managers, associate professionals, professionals were 3.5, 2.3 and 1.5 times respectively more likely to be able to telecommute more frequently than clerical workers.


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    Titel :

    Evaluating the Ability to Telecommute by the Potential Female Telecommuters by Logistic Regression Model


    Weitere Titelangaben:

    Lect.Notes Mobility


    Beteiligte:
    McNally, Ciaran (Herausgeber:in) / Carroll, Páraic (Herausgeber:in) / Martinez-Pastor, Beatriz (Herausgeber:in) / Ghosh, Bidisha (Herausgeber:in) / Efthymiou, Marina (Herausgeber:in) / Valantasis-Kanellos, Nikolaos (Herausgeber:in) / Jaff, Mootaz M. (Autor:in) / Hamsa, Abdul Azeez Kadar (Autor:in)

    Kongress:

    Transport Research Arena Conference ; 2024 ; Dublin, Ireland April 15, 2024 - April 18, 2024



    Erscheinungsdatum :

    07.03.2025


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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