METHODOLOGY
INTRODUCTION
Basically the study
will be involved in the generation of data related to budgetary control process
and organizational performance of selected businesses or firms. The various
methods and procedures or firms: The various methods and procedures employed
with the aim of achieving the set objectives of the study will be outlined in
this chapter.
Also, the aim of this chapter will be to specify and formulate a model that will enable us assess the budgetary control and organization performance of firms selected that used budgets and engage in the budgetary control process to achieve better operational results. While doing this, we shall put into consideration the hypotheses we will eventually test.
Also, the aim of this chapter will be to specify and formulate a model that will enable us assess the budgetary control and organization performance of firms selected that used budgets and engage in the budgetary control process to achieve better operational results. While doing this, we shall put into consideration the hypotheses we will eventually test.
3.1 RESEARCH DESIGN
The study will use the ex-post-facto
research design. ICAN (2006a) reiterates that ex-post-facto research design is
used to determine budgetary control process and organizational performance by
examining the conditions that are traceable to the probable causal factor of
the event under investigation. This design will be adopted bearing in mind that
the study will focus on budgetary control process and organizational
performance of selected firms in Enugu and Ebonyi State.
METHOD OF DATA
GENERATION
The study will exclusively used secondary
data. Therefore, data will be generated through reports, publications, journals,
textbooks etc.
3.2 RESEARCH
PROCEDURE
Objective One: To investigate empirically the nature
and extent of the relationship between revenue variance and growth rate in
profit before tax as a measure of performance. This objective will be attained
by the analysis of the available secondary data using coefficient of
correlations, coefficient of determination and the ordinary least square (OLS)
regression analysis.
Objective Two: To investigate empirically the nature and
extent of the relationship between covariance and growth rate in profit before
tax as a measure of performance. The secondary objective will be accomplished through
the analysis of data (annual accounts, reports, publication etc) using
regression analysis.
Objective Three:
To evaluate the effectiveness of the budgetary control processes of
elected businesses. The researcher
intends to accomplish this objective by using statistical tools such as
regression analysis.
ANALYTICAL TECHNIQUES
In order to establish budgetary control process and organizational performance date generated will be collected and analyzed using such statistical tool as the ordinary least square (OLS) model of regression analysis.
Uguru (2009) gives the least square equation in terms of X and Y as follows:
In order to establish budgetary control process and organizational performance date generated will be collected and analyzed using such statistical tool as the ordinary least square (OLS) model of regression analysis.
Uguru (2009) gives the least square equation in terms of X and Y as follows:
Y = a + bx
Where y is the observed value of the dependent variable and x is the fixed value of the independent variable, a and b are constants, which respective represent the intercepts and slope (or gradient) of the straight line.
b = n∑xy-(∑x)(
∑y)
n∑x2
– (∑x)2
and a =
∑y -b∑x
n