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Investigate the Relationship
between Information Technology and Employees’
Productivity with Mediating Role of Knowledge
Management (Case study: Imam Reza Hospital of
Sirjan)
Hamid Shahdadi (1)
Abbas Yazdanpenah (2)
Abbas Ghavam (3)
(1) Master of science. Department of Healthcare
Management. Marvdasht Branch. Islamic Azad University,
Marvdasht, Iran
(2) Assistant Professor. Department of Healthcare
Management. Marvdasht Branch. Islamic Azad University,
Marvdasht, Iran
(3) Assistant professor, Department of Environment,
Institute of Sciences and High Technology, Kerman,
Iran
Correspondence:
Abbas YazdanpenahAssistant Professor. Department
of Healthcare Management, Marvdasht Branch.
Islamic Azad University, Marvdasht, Iran
Email: abbas_yaz@yahoo.com
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Abstract
The
purpose of this study was to investigate
the relationship between information technology
and employees’ productivity with
mediating the role of knowledge management.
A descriptive, quantitative, co-relational
design was used. The statistic population
of research consisted of all employees
of Imam Reza Hospital in Sirjan. The population
consisted of 250 employees. The data collection
instrument included demographic questionnaire,
questionnaire of information technology,
employees’ productivity and knowledge
management. Data analysis included descriptive
statistics, and structural equation by
software of Lisrel. There is a significant
relationship between information technology
and employees’ productivity with
mediating role of knowledge management.
According to the results, there is a significant
relationship between knowledge management
and productivity.
Key words: Information technology,
Productivity, Knowledge Management, Sirjan
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Nowadays some issues are presented that we
can’t solve with past strategies. The main
characteristics of today’s issues is the
vast amount of data and information that needs
to be collected, preserved, processed, retrieved
and analyzed. This property, which is considered
as the creator of organizational complexities,
caused a move toward modern technology, called
Information Technology (IT) that helps to facilitate
the work with data and information (Abzari et
al., 2007). Despite the short life of IT and
its rapid development, different definitions
and perceptions are presented about it that
through careful observation we can find some
internal inconsistencies. (Sarfarazi, 2006).These
definitions cover the broad range of concepts
that sometimes are quite limited in the computer
processing of operations and sometimes are remembered
broadly as a technology that organized life
is dependent on. According to Mantel (2006),information
technology is to collect, store, organize, process
and disseminate information including audio,
image, text or numbers that is done by computer
and telecommunication tools (Eshlaghi and et
al., 2011).
Today, the importance of information is discussed
either as an important tactical and strategic
source in an organization and it has been known
as a major source of value adding as well. Information
has always been regarded in the business environment
as a competitive advantage. But the important
point is that real changes can increase the
potential value of information, the organizations’
ability in using of this important resource
is through the application of new technology.
Information technology with features like storage,
processing, marketing and data transfer can
assist managers in improving the organizations’
performance. On the other hand, the importance
of productivity and the necessity to review
it with regard to expanding of competition levels,
technological complexity, and variety of tastes,
lack of resources and the data transfer speed
is not hidden for anyone. The impact of information
technology on productivity has been discussed
as the arguable major issue in the economy in
the 1990s. In terms of theoretical and experimental,
many studies have been conducted in developed
countries and developing countries (Mahmoodzadeh,
2011). The main features of the present age,
is information and turning it into knowledge.
Such features will have a large impact on the
social and economic institutions; if a social
institution also uses it as a base it , changes
their structure and rebuilds it. In fact, it
can be stated that information technology has
increased the ability of organizations and with
knowledge and human rationalism of ideas, in
order to exploit it and assign repetitive affairs
and non-creative activities to machines, as
well as increasing efficiency and releasing
of human skills, much attention has been paid
to it in recent years (Eshlaghi and et al.,
2011). The aim of this study to was examine
and investigate the relationship between information
technology and employees’ productivity
with the mediating role of knowledge management.
Principal Hypothesis
There is a significant relationship between
information technology and employees’ productivity
with mediating role of knowledge management.
Secondary Hypotheses
(1) There is a significant relationship between
information technology and employees’ productivity.
(2) There is a significant relationship between
information technology and knowledge management.
(3) There is a significant relationship between
knowledge management and employees’ productivity.
Research methods
A descriptive, quantitative, co-relational design
was used. The statistic population of research
consisted of all employees of Imam Reza Hospital
in Sirjan. The population consisted of 250 employees.
The data collection instrument i included demographic
questionnaire, questionnaire of information
technology, employees’ productivity and
knowledge management. The staff answered the
same questionnaire including information technology
(20 questions), employees’ productivity
(28 questions) and knowledge management (i=25
questions). Cronbach’s alpha that was obtained
from the pilot data was 0.8 for information
technology, 0.86 for employees’ productivity
and 0.79 for knowledge management (Treadway
et al., 2004; Harris & Harris, 2007). Data
analysis included descriptive statistics, structural
equation by software of Lisrel.
Demographics Results
Of the 250 subjects enrolled in the study, 39.7
% were male and 60.3% were female. Among respondents
those aged 31 to 40 years were most frequent
and least frequent in the age group were 30
and lower.
Click here for
CONCEPTUAL MODEL
Principal Hypotheses
[1] There is a significant relationship between
information technology and employees’ productivity
with mediating role of knowledge management.
H0: There is a not a significant relationship
between information technology and employees
productivity with mediating role of knowledge
management.
H1: There is a significant relationship
between information technology and employees
productivity with mediating role of knowledge
management.
The results of this study show there is a significant
relationship between information technology
and employees’ productivity with mediating
role of knowledge management. Thus H0 is rejected
and research hypothesis is approved. According
to the results, numbers significant between
IT and knowledge management is 7.23. So there
is a significant relationship between information
technology and knowledge management. According
to the results, standard coefficient between
information technology and knowledge management
is 0.66 . This reflects the strong relationship
between information technology and knowledge
management. The results of this study show the
numbers significant between employees productivity
and knowledge management is 6.62 .So there is
a significant relationship between productivity
and knowledge management. According to the results,
standard coefficient between employees productivity
and knowledge management is 0.59. This reflects
the strong relationship between productivity
and knowledge management (Chart 1 and 2).
Click here for Chart 1:
Values significant of structural equation modeling
Click here for Chart
2: Values standardized coefficients of structural
equation modeling
Click here for Table
1: The results of the implementation of structural
equation modeling
Click here for Table
2: Fitting indexes for Model
RMSEA: Root- mean- square error of approximation
GFI: Goodness- of-fit index AGFI: Adjusted goodness
-of-fit index CFI: Comparative fit index NFI:
Normed fit index IFI: Incremental fit index
[1] There is a significant relationship between
information technology and employees’ productivity.
H0: There is not a significant relationship
between information technology and employees’
productivity.
H1: There is a significant relationship between
information technology and employees’ productivity
The results of this study show there is a significant
relationship between information technology
and employees’ productivity. Thus H0 is
rejected and the research hypothesis is approved.
According to the result, numbers significant
between IT and productivity is 8.02. So there
is a significant relationship between information
technology and productivity. According to the
result, standard coefficient between information
technology and productivity is 0.76. This reflects
the strong relationship between information
technology and productivity (Chart 3 and 4).
Click here for Chart
3: Values significant of structural equation
modeling
Click here for Chart
4: Values standardized coefficients of structural
equation modeling
Click here for Table
3: The results of the implementation of structural
equation modeling
Click here for Table
4: Fitting indexes for Model
RMSEA: Root- mean- square error of approximation
GFI: Goodness- of-fit index AGFI: Adjusted goodness
-of-fit index CFI: Comparative fit index NFI:
Normed fit index IFI: Incremental fit index
(2): There is a significant relationship between
information technology and knowledge management.
H0: There is not a significant relationship
between information technology and knowledge
management.
H1: There is a significant relationship between
information technology and knowledge management.
The results of this study show there is a significant
relationship between information technology
and knowledge management. Thus H0 is rejected
and research hypothesis is approved. According
to the result, numbers significant between IT
and knowledge management is 9.12. So there is
a significant relationship between information
technology and knowledge management. According
to the results, standard coefficient between
information technology and knowledge management
is 0.83. This reflects the strong relationship
between information technology and knowledge
management (Chart 5 and 6).
Click here for Chart
5: Values significant of structural equation
modeling
Click here for Chart
6: Values standardized coefficients of structural
equation modeling
Table 5: The results of the implementation
of structural equation modeling
Click here for Table
6: Fitting indexes for Model
RMSEA: Root- mean- square error of approximation
GFI: Goodness- of-fit index AGFI: Adjusted goodness
-of-fit index CFI: Comparative fit index NFI:
Normed fit index IFI: Incremental fit index
(3): There is a significant relationship between
knowledge management and productivity.
H0: There is not a significant relationship
between knowledge management and productivity.
H1: There is a significant relationship between
knowledge management and productivity.
The results of this study show there is a significant
relationship between knowledge management and
productivity. Thus H0 is rejected and research
hypotheses is approved. According to the results,
numbers significant between knowledge management
and productivity is 9.82 so there is a significant
relationship between knowledge management and
productivity. According to the results, standard
coefficient between knowledge management and
productivity is 0.83. This reflects the strong
relationship between knowledge management and
productivity (Chart 7 and 8).
Click here for Chart
7: Values significant of structural equation
modeling
Click here for Chart
8: Values standardized coefficients of structural
equation modeling
Table 7: The results of the implementation
of structural equation modeling
Click here for Table
8: Fitting indexes for Model
RMSEA: Root- mean- square error of approximation
GFI: Goodness- of-fit index AGFI: Adjusted goodness
-of-fit index CFI: Comprative fit index NFI:
Normed fit index IFI: Incremental fit index
| DISCUSSION
AND CONCLUSION |
The
purpose
of
this
study
was
to
examine
the
investigate
relationship
between
information
technology
and
employees
productivity
with
mediating
role
of
knowledge
management.
The
results
of
this
study
show
the
there
is
a
significant
relationship
between
information
technology
and
employees
productivity
with
mediating
role
of
knowledge
management.
This
means
that
information
technology
affects
on
productivity
through
knowledge
management.
These
results
are
in
agreement
with
results
Rotena
and
Kovar
(2016)
and
Hasanzadeh
and
Ghahremani
(2016).
The
results
of
this
study
show
the
there
is
a
significant
relationship
between
information
technology
and
employees
productivity.
This
means
that
if
the
Employees
in
the
organization
use
of
information
technology
to
increase
their
productivity.
These
results
are
in
agreement
with
results
Rotena
and
Kovar
(2016)
and
Hasanzadeh
and
Ghahremani
(2016).
According
to
the
results,
there
is
a
significant
relationship
between
information
technology
and
knowledge
management.
This
means
that
if
employees
were
used
of
facilities,
programs,
services
and
basic
technologies
in
knowledge
management
will
be
more
successful.
These
results
are
in
agreement
with
results
Meres
(1999).
The
results
of
this
study
show
the
there
is
a
significant
relationship
between
knowledge
management
and
productivity.
This
means
that
if
there
is
collection
of
appropriate
information
in
organization
and
used
of
knowledge
employees,
finally
will
be
increased
employees
productivity.
These
results
are
in
agreement
with
results
Hossini
(2012).
Hasanzadeh
and
Ghahremani
(2016)
in
a
study
entitled
investigate
the
relationship
between
IT
and
employees
productivity
reports
there
is
a
significant
relationship
between
IT
and
employees
productivity.
Hossini
(2012)
in
a
study
entitled
investigate
the
relationship
between
knowledge
management
and
employees
productivity
reports
there
is
a
significant
relationship
between
knowledge
management
and
employees
productivity.
Goodarziand
(2008)
showed
that
there
is
a
significant
positive
relationship
between
knowledge
creation
and
knowledge
transfer.
In
the
traditional
model,
organizations
and
individuals
are
often
unwilling
to
transfer
and
exchange
their
knowledge.
Since
instead
of
looking
at
knowledge
as
an
organizational
resource,
consider
knowledge
as
a
source
of
power
and
a
guarantee
for
the
continuity
of
their
jobs
and
are
not
willing
to
share
it
with
others
because
they
are
afraid
to
lose
the
control
of
their
organization
knowledge.
In
fact,
a
knowledge
that
is
not
circulated
in
organization
won’t
be
developed
and
eventually
will
be
obsolete
and
will
be
changed
into
an
obstacle.
In
short,
knowledge
circulation
through
sharing,
business
and
trade
will
lead
to
the
production
of
new
knowledge
that
would
seem
impossible
without
the
use
of
information
technologies.
An
organization
that
supports
information
sharing
and
knowledge
creation
among
its
employees
can
define
efficient
and
effective
processes
and
improve
its
organizational
performance
and
productivity.
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