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© Proceedings of the Ruhuna Quality Assurance Sessions 2021 (RUQAS 2021)
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21 September 2021

tower and again from there, they have to arrange private transport service to the Faculty of
Technology. This route takes about 1.5 h of extra time and incurs a huge cost for daily travelling. As a

workable solution to overcome this issue, the faculty started to use the university bus from 13th

November 2020 under regular bus fare to fulfil the transport needs of staff and students of the Faculty
of Technology. The main objective of this research is to investigate the improvement in productivity of

employees with the provided transport facility for their daily commuting needs for work, which
ultimately enhances the organizational performance.

Methodology

In this study, the number of working hours per day, number of late days and time spent on daily
commute is analyzed. Further, employees’ feedback on work efficiency and mental relaxation were

obtained through a questionnaire. The variation of the values of above parameters are assumed to be
reasonable indicators of the productivity of employees in this study. The provided transport service is

mainly used by lecturers, administrative staff, Management assistants, Academic support staff,
temporary demonstrators and temporary lectures. These employees are engaged in various activities

and duties in a day. Thus, the conventional concepts of output/input measurements for productivity are

not applicable for academic institutions.

The employees, who regularly use this transport service are considered for this study. Currently, more
than 20 staff members use the transport service. The attendance records of the administrative staff,

Management assistants, Academic support staff, temporary demonstrators and temporary lecturers are

considered in this study. The required data on employees’ “in” and “out” times are collected from
fingerprint attendance records and signature book up to September 2020. Starting from October 2020,

attendance of temporary academic staff was collected through the fingerprint system. Therefore, all the
attendance records after October 2020 are based on the fingerprint records. Data on March 2020, April

2020, May 2021, and June 2021 are excluded from this evaluation since the university was not
properly functioning during those periods due to Covid-19 pandemic.

The number of working hours of an employee “i” on day “d” ( ) is calculated based on the following

formulae.

= − , (Eq. 1)

where,

= out time of employee “i”

= in time of employee “i”

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