Abstract:
Organizational Citizenship Behavior or "extra-role behavior" has received a great
deal of attention from organizational behavior researchers in the last two
decades. Unfortunately, because inquisitions into this topic are still at an early
stage, relatively little is yet known about the antecedents of, or key influences on,
OCB.
In present investigation I looked at prognostic power of these four variables as
antecedents of OCB (distributive justice, procedural justice, organizational
commitment, and job satisfaction). For that a hierarchical regression analysis
was carried out using OCB as the dependent variable.
Research also intended to unmask that whether there is any relation between
methods of performance monitoring and OCB and what type of effects
performance monitoring has on dimensions of OCB which employee exhibit.
Because my hypotheses examine the relationships among the methods of
monitoring, dimensions of justice, and citizenship behaviors, I first analyzed the
data using a nested-models analysis and then looked at the significance of the
individual paths.
In conclusion, overall, the results provide limited encouragement for the familiar
compensatory model of relationships among the leader monitoring behaviours,
perceptions of justice, and OCB. Informal discussions formal meetings were
found to have a direct and positive relationship with altruism, courtesy and
conscientiousness, conflicting with the overall negative relationship hypothesized
between monitoring and OCB. Similarly, distributive justice was found to have a
significant, negative relationship with the four out of five OCB dimensions,
instead of the hypothesized positive relationships. Results does not approved
that the exceptional variance in organizational citizenship behavior will be
expounded via Organizational commitment Comparisons of findings show that
satisfaction in job confirms solid association to Organizational Citizenship
Behavior, tracked by organizational commitment, Interactional justice, and
distributive justice.
