Information Technology Reference
In-Depth Information
Table 4. Descriptive statistics related to constructs in the IDT model
Variable
Number of Surveys
Min
Max
Mean
Standard Deviation
Rate of adoption
91
1
7
4.762
1.775
Relative advantage
91
2
7
5.777
1.123
Ease of use
91
1
7
5.409
1.334
Image
91
1
7
4.538
1.505
Compatibility
91
2
7
4.597
1.362
Result demonstrability
91
1
7
4.797
1.517
Visibility
91
1
7
4.637
1.540
Trialability
91
1
7
5.588
1.303
Voluntariness
91
1
7
4.654
1.615
the intentions of Managers
to Adopt pis
On the other hand, correlations between all
variable depicted in the IDT model were calculated
and they are shown in Table 5. All correlations
were significant except two and as shown in the
matrix (with different levels of significance). Also,
all variables were entered to calculate the regres-
sion coefficients between the rate of adoption and
all variables. Results indicated that a significant
correlation exists between the variables and the rate
of adoption, where the coefficient of determination
R 2 = 27.6%, with a p value less than 0.001 (F 8,82 =
5.285, p < 0,001). Results are shown in Table 6.
The second major objective of this study was to
explore managers' intentions to adopt or continue
using PIS systems utilizing Rogers' IDT model.
In a separate study, the researcher employed a
survey that introduced a description of PIS and
asked questions related to the different constructs
of the model. The main source for the items used
in the study was Moore and Benbasat (1991) work.
The items were translated to Arabic language and
tested using 10 experts for language. The nature of
this exploratory study makes it convenient to use
such method and the size of data allows for such
test. Data used a seven point Likert scale, where 1
indicates a high disagreement to the statement and
7 indicates a high approval to the statement. The
total number of surveys collected was 91 surveys
from factories in Al-Hasan Industrial Zone (total
number distributed = 100).
The survey included 3 items for measuring
rate of adopting, 5 items for measuring relative
advantage, 3 items for measuring compatibility, 3
items for measuring image, 2 items for measuring
voluntariness, 2 items for measuring trialabil-
ity, 2 items for measuring visibility, 4 items for
measuring results demonstrability, and 4 items
for measuring ease of use. Table 4 shows some
descriptive statistics related to constructs.
discussion of resuLts
This exploratory work tried to answer two major
questions using multiple studies and methods.
The first objective was to explore the extent to
which PIS are used and adopted in manufactur-
ing companies in Jordan. Through a descriptive
survey, opinions were collected from managers of
74 factories in an industrial zone in Jordan. Results
indicated that 66 factories (89%) used at least one
system related to production and operations. The
most popular systems used in Jordan were account-
ing information systems (60 factories, 81%), and
the least used systems were computer aided design
systems (23 factories, 31%). Results indicated
also that PIS were used in 45 factories (61%), and
 
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