Abstract:
In a recent world, governments and non-governmental organisations have
increasingly been adopting biometric fingerprint technology as a move to effectively
monitor employee attendance in order to promote workforce productivity. However,
despite the deployment of this technology, its contribution to organisational
performance in many organisations has not been evident. The objectives of the study
was to examine the effect of biometric fingerprint technology on organisation’s
performance indicator, to examine perception of employees toward the adoption of
the technology, to assess the effectiveness of biometric devises in recognising users,
and to examine the contribution of biometric fingerprint system in controlling extra
hour payments. A Cross-sectional study design was used. A sample of 93 respondents
was selected from 1,176 hospital staff using Stratified sampling technique. Data was
gathered by using questionnaires, interview to key personnel and documentary
review. Qualitative data analysis was employed in this study using the content
analysis method. Findings show increase in Admission by 2.3% between 2016 and
2017, and 3.98% between base year and 2018. Discharges increased by 2.66% and by
5.79% between 2016-2017 and 2016-2018 respectively. Average length of stay
increased by 10.22 days between base year and 2017 and improved by -3.21%
between base year and 2018. However, deaths increased by 12.91% from 2016 to
2017 and by 15.59%, bed occupancy rate increased by 1.88% between base year and
2017 and by 9.46% between base year and 2018. A total of 57.6% of respondents said
that it is possible to report to work on time and abscond during working hours without
management knowing. Forty 43% responded that biometric devise response is not
instant, and test showed that there is no association between old age and response of
biometric devise. Hourly pay showed significant rise from 2016 to 2019 despite the
deployment of this technology at the hospital. The study concludes that there is
appositive result brought about by deployment of the technology. The research came
up with conclusion that management should investigate the increase in death and bed
occupancy rate despite presence of biometric, design mechanism to ensure staff are
working during working hours, design alternatives for those to whom devise fails to
recognise and do further studies to understand why labor cost keep rising despite
deployment of biometric technology