Abstract:
A proactive job analysis is a keystone HR function which has its implications on many
other human resource function and on factors which shape employees satisfaction and job
performance. One aim of this paper is to study the dynamics of job analysis and
stretching it further to identify the vigorous approaches towards proactive job analysis in
a modern organization. The paper takes into account the perspective of ever-changing job
environment in which job boundaries are no more static, rather, they seem bit blurry and
the focus of human resource management has taken a paradigm shift towards the core
competencies and aptitudes needed to perform a specific job as well as sustaining in a
team-based organizational structure. The organizations under study are good
representatives of the modern organizational concept, hence, researched thoroughly to
find out the importance of job analysis and its impact on employees performance and job
satisfaction by administering survey questionnaire to employees at all tiers. The
questionnaire consists of different sections inquiring the demographics of employees and
their view about the importance and frequency of job analysis in their organization, along
with their job satisfaction and job performance indications. Being a quantitative research
approach, the study analyzed data by scale reliability, variable measurements,
correlational analysis, regression and factors analysis with a view to understand the
collective and relative importance of job analysis in two consultancy firms and its impact
on job performance and employees satisfaction. The analysis reveals that job analysis is
positively related to job performance and job satisfaction showing that job analysis can
serve as a potent tool to enhance organizational performance by achieving employees’
satisfaction and higher levels of performance. However, there is a need to expand the
research base of this study by investigating more samples from multiple companies
operating in different industries in order to establish strong empirical results.
