Cover Image

Application of logistic regression model to determine the ability to telecommute by female employees

Telecommuting is well suited for female employees due to their increased responsibilities in balancing both office and family matters. This paper is an attempt to evaluate the ability of female employees to telecommute in the selected business organizations in Kuala Lumpur, Malaysia. Four major job...

Full description

Saved in:
Bibliographic Details
Main Authors: Jaff, Mootaz M., Kadar Hamsa, Abdul Azeez
Format: Conference or Workshop Item
Language:English
Published: The National Academies of Science, Engineering and Medicine 2021
Subjects:
NA9053.R4 City planning
Online Access:http://irep.iium.edu.my/88124/1/88124_Application%20of%20Logistic%20Regression%20Model%20to%20Determine%20_new.pdf
http://irep.iium.edu.my/88124/
https://annualmeeting.mytrb.org/OnlineProgram/Details/15914
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.88124
record_format dspace
spelling my.iium.irep.881242021-02-02T09:05:38Z http://irep.iium.edu.my/88124/ Application of logistic regression model to determine the ability to telecommute by female employees Jaff, Mootaz M. Kadar Hamsa, Abdul Azeez NA9053.R4 City planning Telecommuting is well suited for female employees due to their increased responsibilities in balancing both office and family matters. This paper is an attempt to evaluate the ability of female employees to telecommute in the selected business organizations in Kuala Lumpur, Malaysia. Four major job categories namely “clerical workers”, “professionals”, “associate professionals”, and “managers” were selected to ascertain how the employees under these employment categories perceive telecommuting as part of their ability to telecommute by using a questionnaire survey. A binary and an ordinal logistic regression model were used to evaluate the effects of the explanatory variables on the ability to telecommute by controlling and uncontrolling the “employing industries” and “employment categories”. The results of the model reveal that ‘prior experience working from home and ‘increased frequency of telephone usage’ almost doubles the ability to telecommute, whereas ‘time spent working with others’ and the ‘usage 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 relative 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. The National Academies of Science, Engineering and Medicine 2021-01-27 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/88124/1/88124_Application%20of%20Logistic%20Regression%20Model%20to%20Determine%20_new.pdf Jaff, Mootaz M. and Kadar Hamsa, Abdul Azeez (2021) Application of logistic regression model to determine the ability to telecommute by female employees. In: TRB 100th Annual Meeting, 27 January 2021, Washington, D.C. USA. https://annualmeeting.mytrb.org/OnlineProgram/Details/15914
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic NA9053.R4 City planning
spellingShingle NA9053.R4 City planning
Jaff, Mootaz M.
Kadar Hamsa, Abdul Azeez
Application of logistic regression model to determine the ability to telecommute by female employees
description Telecommuting is well suited for female employees due to their increased responsibilities in balancing both office and family matters. This paper is an attempt to evaluate the ability of female employees to telecommute in the selected business organizations in Kuala Lumpur, Malaysia. Four major job categories namely “clerical workers”, “professionals”, “associate professionals”, and “managers” were selected to ascertain how the employees under these employment categories perceive telecommuting as part of their ability to telecommute by using a questionnaire survey. A binary and an ordinal logistic regression model were used to evaluate the effects of the explanatory variables on the ability to telecommute by controlling and uncontrolling the “employing industries” and “employment categories”. The results of the model reveal that ‘prior experience working from home and ‘increased frequency of telephone usage’ almost doubles the ability to telecommute, whereas ‘time spent working with others’ and the ‘usage 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 relative 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.
format Conference or Workshop Item
author Jaff, Mootaz M.
Kadar Hamsa, Abdul Azeez
author_facet Jaff, Mootaz M.
Kadar Hamsa, Abdul Azeez
author_sort Jaff, Mootaz M.
title Application of logistic regression model to determine the ability to telecommute by female employees
title_short Application of logistic regression model to determine the ability to telecommute by female employees
title_full Application of logistic regression model to determine the ability to telecommute by female employees
title_fullStr Application of logistic regression model to determine the ability to telecommute by female employees
title_full_unstemmed Application of logistic regression model to determine the ability to telecommute by female employees
title_sort application of logistic regression model to determine the ability to telecommute by female employees
publisher The National Academies of Science, Engineering and Medicine
publishDate 2021
url http://irep.iium.edu.my/88124/1/88124_Application%20of%20Logistic%20Regression%20Model%20to%20Determine%20_new.pdf
http://irep.iium.edu.my/88124/
https://annualmeeting.mytrb.org/OnlineProgram/Details/15914
_version_ 1691732919357276160
score 13.211869

Similar Items