Abstract:
As per this study, the main objective is to identify the employees' performance gap
between generation 'X' and 'Y' in Central Finance Company PLC in North Central
Province. Generation gap in employees' performance is nothing new, but it difficult to
reconcile in the organization. Make reasonable attention to generational differences will
make any company more efficient, the critical management will involve understanding
generational differences in order to strengthen work relationship between and among
employees especially between Generation 'X' and Generation 'Y'. Generational
differences are important to understand because generational diversity can affect work
relationships and the effectiveness of communication, engagement, and performance
management strategies.
The researcher has considered whole population of 156 employees and selected the
sample as 68 employees from each generation. Further, the data were collected through
Quota Method of Sampling and analyzed through SPSS.
Given that Gen 'Y' members are likely to work closely with Gen 'X' members, the
present study explored possible differences between Gen 'X' and Gen 'Y' on their work
values and technology usage. Difference between Generation 'X' and 'Y' work values
and Technology usage on employees' performance of financial company of Central
Finance Company PLC was examined from this research.
This research was contributed to identify the performance gap between generation 'X'
and generation 'Y'. This research found that there is difference between Gen 'X' and
Gen 'Y' on Employees' Performance, Work Values and Technology usage. In this
research found there is a negative relationship between technology and performance.
Reason for that was the researcher in this research consider mobile phone usage and
social media usage under technology usage. And also, this research identified there is a
negative relationship among work values and performance. This study is quantitative
and structured questionnaire was used to gather the relevant data and the data analyzed
using independent sample t-test and bivariate analysis were used.
