Table 4.4: Correlation
between Electronic submission of bids and effectiveness of public tendering at
Kabaya District Hospital
|
Electronic submission of bids
|
Effectiveness
|
|
Electronic submission of bids
|
Pearson Correlation
|
1
|
.839**
|
|
Sig. (2-tailed)
|
|
.044
|
|
N
|
24
|
24
|
|
Effectiveness
|
Pearson Correlation
|
.839**
|
1
|
|
Sig. (2-tailed)
|
.044
|
|
|
N
|
24
|
24
|
Source: Survey, August 2021
According to Correlation Table 4.4, Electronic submission of
bids strongly correlates with the effectiveness of public tendering at Kabaya
District Hospital (r=.839 with a p value of 0.044, which is less than 0.05).
This indicates that the relationship between Electronic submission of bids and
the effectiveness of public tendering at Kabaya District Hospital is
significant, implying that having Electronic submission of bids has the
potential to increase the effectiveness of public tendering at Kabaya District
Hospital.
The study corroborates Flynn et al. (2010) Moreover, companies
using e-procurement system reported that they achieve saving up to 42% in
purchasing transaction cost as a result of less paperwork, which enabled
transaction processes to be less prone to errors, leading to more efficient
purchasing.
Table 4.5: Model Summary
|
Model
|
R
|
R Square
|
Adjusted R Square
|
Std. Error of the Estimate
|
|
1
|
.839a
|
.802
|
.743
|
1.58439
|
|
a. Predictors: (Constant), Effectiveness
|
Source: Survey, August 2021
The model summary was used to present the coefficient of
determination, which explained how well changes in the independent variable
explained variations in the dependent variable. The independent variable
(Electronic submission of bids) has effect of 80.2% on effectiveness of public
tendering at Kabaya District Hospital as represented by R Square.
The coefficient of correlation value of 0.839 indicates that
there was a positive strong correlation between independent and dependent
variable. The findings support prior findings Berger & Zeng (2006). Any
good e-procurement software system today is designed to greatly reduce effort
and time required to complete purchasing transactions by eliminating
traditional paper chain of payment reconciliation, approvals, requisitions and
receiving. The key features of e-procurement approaches enables users to find
an item in an electronic catalog, create a requisition, route the order
requisition for approval, create and transmit the order to vendors, and also
help to automate the invoicing and payment process.
Table 4.6: ANOVAa on
electronic submission of bids and effectiveness of public tendering at Kabaya
District Hospital
|
Model
|
Sum of Squares
|
df
|
Mean Square
|
F
|
Sig.
|
|
1
|
Regression
|
31.107
|
2
|
15.553
|
19.042
|
.044b
|
|
Residual
|
55.227
|
21
|
2.629
|
|
|
|
Total
|
86.334
|
23
|
|
|
|
|
a. Dependent Variable: Electronic submission of bids
|
|
b. Predictors: (Constant), Effectiveness
|
Source: Survey, August 2021
The findings in Table 4.6 indicate that the overall model was
significant. The overall model was significant as shown by a calculated F
statistic of 19.042 (p value 0.044). The calculated F statistics was large than
the critical F statistic. The findings indicated that the variable electronic
submission of bids are good predictor of effectiveness of public tendering at
Kabaya District Hospital, hereby the alternative hypothesis of the study:
H1a:Electronic submission of bids has effect on effectiveness
of public tendering at Kabaya District Hospital was confirmed.
The findings support by Eadie et al. (2007), argue that
e-procurement allows sections of electronic documentation to flow through the
supply chain; it improves the speed of returns and subcontractor price
visibility. He further notes that since it is easier to communicate
requirements in a quicker more accessible manner, it will result in a better
understanding of requirements and due compliance besides allowing clients to
gauge the state of the market by seeing how much interest is shown in the
tender.
| 
