ArticlePDF Available

Factors affecting nurses' work motivation level at a governmental hospital: A cross-sectional study

Authors:

Abstract and Figures

Background and aim: Nurses are working in different healthcare organizations; each healthcare organization has different organizational resources. Therefore, factors affecting nurses' work motivation are varied among nurses. This study aimed to identify factors affecting nurses' work motivation levels at a governmental hospital in Saudi Arabia. Methods: A cross-sectional design was conducted by recruiting registered nurses (n = 280) who worked for at least one year of experience. The survey was distributed among registered nurses working in one governmental hospital in the Kingdom of Saudi Arabia to assess nurses' work motivation level and to identify the affecting factors. Results: This study showed that nurses' work motivation level is affected by several personal and organizational factors. A positive relationship was found between higher order need strength and shared values and nurses' work motivation (intrinsic and extrinsic). This study revealed that there is a positive relationship between pay, promotion, supervision, fringe benefits, contingent rewards, co-workers, nature of work, communication and working conditions and nurses' work motivation level. Conclusions: There is a need to enhance and promote the motivational strategies within the current study setting by providing satisfactory remuneration, equitable benefits increase the chances of promotion and encourage supportive supervision. Additionally, there is a need to create healthy workplace environment that support co-workers relationship.
Content may be subject to copyright.
http://jnep.sciedupress.com Journal of Nursing Education and Practice 2019, Vol. 9, No. 9
ORIGINAL RESEARCH
Factors affecting nurses’ work motivation level at a
governmental hospital: A cross-sectional study
Reem A. Baljoon1,2, Hasnah Banjar3, Maram Banakhar3
1King Faisal Special Hospital & Research Centre, Jeddah, Saudi Arabia
2Science of Nursing Administration, King Abdulaziz University, Saudi Arabia
3Nursing Administration, Faculty of Nursing, King Abdulaziz University, Saudi Arabia
Received: December 10, 2018 Accepted: May 4, 2019 Online Published: June 6, 2019
DOI: 10.5430/jnep.v9n9p25 URL: https://doi.org/10.5430/jnep.v9n9p25
ABS TRACT
Background and aim:
Nurses are working in different healthcare organizations; each healthcare organization has different
organizational resources. Therefore, factors affecting nurses’ work motivation are varied among nurses. This study aimed to
identify factors affecting nurses’ work motivation levels at a governmental hospital in Saudi Arabia.
Methods:
A cross-sectional design was conducted by recruiting registered nurses (n = 280) who worked for at least one year of
experience. The survey was distributed among registered nurses working in one governmental hospital in the Kingdom of Saudi
Arabia to assess nurses’ work motivation level and to identify the affecting factors.
Results:
This study showed that nurses’ work motivation level is affected by several personal and organizational factors. A
positive relationship was found between higher order need strength and shared values and nurses’ work motivation (intrinsic and
extrinsic). This study revealed that there is a positive relationship between pay, promotion, supervision, fringe benefits, contingent
rewards, co-workers, nature of work, communication and working conditions and nurses’ work motivation level.
Conclusions:
There is a need to enhance and promote the motivational strategies within the current study setting by providing sat-
isfactory remuneration, equitable benefits increase the chances of promotion and encourage supportive supervision. Additionally,
there is a need to create healthy workplace environment that support co-workers relationship.
Key Words: Nurses’ motivation, Work motivation level, Personal factors, Organisational factors
1. INTRODUCTION
Motivation is known as a drive that makes an individual
to seek out or achieve satisfaction of a need.
[1]
Moreover,
motivation was defined as determining the needs of the em-
ployee, implementing proper strategies and as the force that
energizes, guides, and maintains human behaviour.[2] In the
work context, motivation can be defined as “an individual’s
degree of willingness to exert and maintain an effort towards
organizational goals”.
[3]
Motivation is categorized into in-
trinsic motivation (IM) and extrinsic motivation (EM).
[1]
The
main difference between these two types is that the moti-
vational state where IM is internally derived “derives from
within the individual, inspiring him or her to be productive”,
while EM is externally derived “enhanced by the job environ-
ment or external rewards” to meet personal or organizational
goals.[1, 4]
Nurses’ work motivation level is affected by several factors.
These factors can be personal such as individual priorities
Correspondence:
Reem A. Baljoon; Email: remacute@hotmail.com; Address: King Faisal Special Hospital & Research Centre, Jeddah 21499,
Saudi Arabia.
Published by Sciedu Press 25
http://jnep.sciedupress.com Journal of Nursing Education and Practice 2019, Vol. 9, No. 9
which involved shared values with hospital and attainment
of higher order needs that increase nurses’ work motivation
level.
[5]
Although the orientation of nurses’ motivation at
work depends on their individual priorities, the strength and
sustainability of both IM and EM depends on the shared
values.[6–8]
Generally, nurses are more likely to be autonomously moti-
vated, if their work allow them to accomplish satisfaction in
their needs for competence (i.e. productivity, knowledge and
skill use), autonomy (i.e. decision authority), and relatedness
(i.e. belonging to a team, good relationships with others,
respect and the trust of co-workers). Most motivations re-
ported among nurses were satisfied derived from a sense of
accomplishment followed by the desired to learn new things.
It was found that nurses working in general care wards or
in the middle of their career with the dominant personal
value “Benevolence” and high experience rate, reported to be
highly motivated in contrast to those with the dominant value
“Hedonism”, who used computers infrequently or with low
to medium experience rate.
[9]
Similarly, nurses with higher
score of competence and humanity reported higher level of
work motivation.
[5, 10, 11]
Likewise, nurses who reported a
higher level of shared values in their hospital and nurses who
conveyed a higher level of identification with the long-term-
care setting had higher levels of work motivation.[5, 12]
Furthermore, work motivation is affected by internal psycho-
logical states which built on the person priority of values and
needs drives from personal factors.
[5, 13, 14]
However, three
critical internal psychological states were found in the litera-
ture for IM incorporate experienced responsibility for work
results, a knowledge of the actual results of the activities and
experienced meaningfulness of the job.
[15]
Job meaningful-
ness was one of the most important motivating factors among
health service providers.
[16]
Moreover, a positive relationship
between job meaningfulness and work motivation level was
found in several studies.[5,17, 18]
In contrast to personal factors, nurses’ work motivation is
also affected by several organisational factors. Work en-
gagement is positively associated with intrinsic work mo-
tivation and with extrinsic work motivation.
[19]
While in a
further study, nurses confirmed that positive environment
and supportive supervision and management motivated them
to stay at their hospital.
[20, 21]
Additionally, interpersonal
relationships, social respect, communication, effective team-
work and feedback could promote motivation in several stud-
ies.[11, 20, 22–24]
In a more recent study, it was reported that having a clear
job description, clearness in responsibilities and tasks were
important motivating factors in both management and per-
formance aspect.
[16, 25]
Furthermore, career development
and learning opportunity, chance for continuing professional
development and growth had the highest ability to inspire
nurses in their profession.
[20, 23, 26–28]
Moreover, appreciation
and recognition from community as well as the recognition
and appreciation of a good job carried out by nurses could
be the main motivation factor.
[22, 29]
In addition, financial in-
centives were most important motivating factor that advance
nurses’ performance.[25, 28, 30]
Health care system in Saudi Arabia (SA) faces many chal-
lenges that may alter or compromise the quality of patient
care such as shortage in nursing staff, high turnover, severe
stress and burnout.
[31]
Moreover, in the context of SA, nurses
are working in different healthcare organizations, each health-
care organization has different organizational resources and
working conditions and therefore the motivation level and
factors affecting nurses’ work motivation are varied among
nurses in different healthcare organizations. Importantly,
the government of SA has a new direction of providing a
cost-effective healthcare services in 2030. Therefore, due
to the vision of 2030 and the current economic changes that
noticed within the kingdom of SA in 2017, this resulted in
several limitations and changes within the hospitals’ human
resources and hospitals’ budgets. Thus, nursing mangers are
limited in delivering extra financial incentives that could mo-
tivate nurses to perform better.
[17]
Furthermore, nurses’ work
motivation level is varied not only according to the working
context of the healthcare organization; however, it is varied
in the time of change. Thus, in this period of significantly fi-
nancial restraint and global shortages of nurses, it is vital for
health care managers and administrators to be aware of the
factors that affect work motivation.[32] Therefore, this study
aimed to identify factors affecting nurses’ work motivation
levels at a governmental hospital in Saudi Arabia.
2. MATERIALS AND METHODS
2.1 Study design
A descriptive cross-sectional study design was conducted to
identify the factors affecting nurses’ work motivation level
in a governmental hospital.
2.2 Participants
Quota sampling technique was used to recruit all registered
nurses (RNs) who are working in the hospital with at least
one year of experience. In each unit, the researcher met the
department’s manager and introduced the aim of the study,
questionnaire and inclusion criteria. The list of names for
nurses who worked for one year and more in all the units
were provided to the researcher by the manager of each unit.
Nurses in each unit were selected based on their schedule
26 ISSN 1925-4040 E-ISSN 1925-4059
http://jnep.sciedupress.com Journal of Nursing Education and Practice 2019, Vol. 9, No. 9
which include their names. Then the researcher handed ques-
tionnaires in closed envelop to nurses after coordinating with
the department managers. All questionnaires were collected
in closed envelops in the following day. The sample con-
sisted of 280 registered nurses, 252 included staff nurses
while 28 were nurses holding managerial positions of grade
9 and above.
2.3 Setting
The study was conducted in a non-profit healthcare organisa-
tion that is well known as a reputable and accredited health
care organisation in Jeddah city at SA. This hospital is provid-
ing a tertiary care by serving local community with 500-beds
capacity for many years and has grown to become one of
the leading healthcare organisation in the Middle East. This
hospital has some unique characteristics such as high bed ca-
pacity, different culture, staffing and specialties. Importantly,
due to the limited financial budget in 2017, many nurses
resigned from this hospital leading to high turnover rate. In
this study setting, the data were collected in July 2017.
2.4 Instrument
The questionnaire used in this study composed of four sec-
tions: Section 1 included the sociodemographic information,
which was developed by the researcher; Section 2: This is
pertaining toward assessing the nurses’ work motivation level
by using The Motivation at Work Scale (MAWS).
[33]
MAWS
was validated in many languages and consist of 12 state-
ments measuring four variables which are: Intrinsic motiva-
tion, Identified regulation of extrinsic motivation, Introjected
regulation of extrinsic motivation and External regulation of
extrinsic motivation. MAWS used a seven-point likert scale,
ranging from 1 “Not at all for this reason” to 7 “Exactly for
this reason”. The items scored on likert scale, with scores
ranging from very low (1) to very high (7). Based on the
range of possible mean scores distribution of scores from the
instrument was as follows: Low motivation level (1-3.58),
Moderate motivation level (3.59-4.43), High motivation level
(4.44-7); Section 3: This section is aimed to assess nurses’
personal factors which consists of two different parts. First
part is Higher Order Need Strength Scale.
[34]
This scale mea-
suring nurses’ higher order need strength such as a stronger
need for achievement and self-actualization. This tool con-
sists of 6 statements, accompanied a seven-point likert scale
ranging from 1 “not at all important” to 7 “extremely impor-
tant”. Second part is Shared Values Scale
[35]
which consists
of 5 statements. This is Likert scale ranging from 1 “disagree
strongly” to 7 “agree strongly”. This scale is measuring the
degree to which nurses sharing the same values with the
organization; Section 4 aimed to assess organizational fac-
tors affecting nurses’ work motivation level which consists
of two different parts. First part is Job Satisfaction Survey
(JSS)
[36]
to measure motivational factors “organizational fac-
tors”. JSS consists of 36 statements with 9 facets (each facet
with 4 items) are Pay, Promotion Supervision, Fringe Bene-
fits, Contingent Rewards, Operating Procedures, Coworkers,
Nature of Work, and Communication. A summated rating
scale format is used, with six choices per item ranging from
1 “disagree very much” to 6 “agree very much”. Second
part is measuring working condition.
[35]
It consists of four
questions, which are working overtime hours and working
for other people are (multiple choice questions), working
schedule (forced choice), and opportunities for flexible work
time (multiple choices).
The content validity of the tool was confirmed by a jury opin-
ion that was taken by 5 experts from the faculty members at
one university in Jeddah city and the fields of leadership and
management in the current hospital. Written permission was
taken from the original authors to use the questionnaires. In-
ternal consistency of the scales was assessed by Cronbach’s
Alpha coefficient and found to be adequate: 0.882 for Moti-
vation at Work Scale (MAWS), 0.868 for Higher Order Need
Strength Scale, 0.873 for Shared Values Scale, 0.841 for JSS
and 0.908 for the whole scale.
Ethical approval was obtained from the Ethics committee
from the study setting. The study has no harm on the study
sample. The study sample were permitted to withdraw from
the study at any time. In addition, a cover page was cre-
ated and attached to the questionnaire which incorporates an
introduction about the purpose of the study, how and why
the study sample were involved in the study, how long the
questionnaire would take to be completed and the intended
use of the results. Additionally, study sample were assured
about information confidentiality.
2.5 Data analysis
A descriptive analysis was used to analyze the data of this
study using SPSS (Statistical Package for the Social Sci-
ences program) software version 20. Descriptive statistics
were used for all data including frequency distributions and
cross-tabulations. Spearman’s rank correlation calculated for
testing the relationships between continuous variables.
3. RESULTS
3.1 Sociodemographic characteristics of nurses
The results of sociodemographic characteristics of nurses is
presented in Table 1.
Published by Sciedu Press 27
http://jnep.sciedupress.com Journal of Nursing Education and Practice 2019, Vol. 9, No. 9
Table 1. Frequency distribution of the registered nurses regarding sociodemographic variables (n = 280)
Sociodemographic Classes of Variables n = 280
N %
Age
Less than 25 years 4 1.4
26-< 35 years 128 45.7
35-< 45 years 84 30.0
45 and above 64 22.9
Gender Male 15 5.4
Female 265 94.6
Marital status
Single 93 33.2
Married 181 64.7
Divorced 4 1.4
Widow 2 0.7
Nationality Saudi 47 16.8
Non-Saudi 233 83.2
Educational level
Diploma 82 29.3
Baccalaureate 170 60.6
Masters 17 6.1
PHD, DNP or other terminal degree 1 0.4
Others 10 3.6
Years of experience
Less than 5 11 3.9
(5-< 10) 78 27.9
(10-<20) 116 41.4
20 and more 75 26.8
Working period at (KFSH& RC, J)
Less than 1 year 5 1.8
1-5 years 114 40.7
6-10 years 73 26.1
11-15 years 61 21.8
16-20 years 25 8.9
21 years or more 2 0.7
Position title or grade Staff Nurse 252 90.0
Grade 9 and above 28 10.0
A total of 280 registered nurses completed the questionnaires.
Less than half of nurses were between 26 -< 35 years of age
(n = 128, 45.7). In regard to the nationality, non-Saudi nurses
were more than three quarters (83.2%). The education level
of the respondents showed that almost two thirds (60.6%)
had baccalaureate degree. More than two thirds (68.2%) of
the respondents had 10 and above years of experience. The
results revealed that less than half (42.5%) of nurses had 1-5
years of employment at the current hospital. Furthermore,
nurses who participated in this study were represented from
different units: critical care units 25.4%, general units 55.4%,
units under ambulatory services 16.9% and other units 2.3%.
The majority of the sample (90%) were staff nurses from
grade 8 while 10% of nurses were nurses mangers from grade
9 and above.
3.2 Work motivation level
The results of work motivation level is presented in Table 2.
Table 2. Nurses work motivation (n = 280)
Motivation Items Weighted Mean SD Motivation level
Total of Intrinsic work motivation 3 4.64 1.10 High
Total of Extrinsic work motivation 9 4.54 0.94 High
Subcategories of
Extrinsic work
motivation
Identified regulation of extrinsic work motivation 3 5.00 1.12 High
Introjected regulation of extrinsic work motivation 3 4.51 1.34 High
External regulation of extrinsic work motivation 3 4.10 1.06 Moderate
28 ISSN 1925-4040 E-ISSN 1925-4059
http://jnep.sciedupress.com Journal of Nursing Education and Practice 2019, Vol. 9, No. 9
The total weighted mean for extrinsic work motivation (4.54
±
0.94) was lower than intrinsic work motivation (4.64
±
1.10). Nurses’ work motivation level was moderate in ex-
ternal regulation of extrinsic work motivation (4.10
±
1.06)
but high in both intrinsic work motivation (4.64
±
1.10) and
in two subcategories of extrinsic work motivation namely
identified regulation (5
±
1.12) and introjected regulation
(4.51 ±1.34).
3.3 Personal factors
3.3.1 Higher order need strength
The results of work motivation level is presented in Table 3.
Table 3. The weighted means, standard deviations and overall nurses’ responses of higher order need strength
Items of Higher Order Need Strength Weighted Mean SD Overall Response
Using your skills to the maximum. 6.24 1.11 Extremely important
Achieving something that you personally value. 6.11 1.03 Fairly important
The opportunity to make your own decisions. 5.95 1.06 Fairly important
The opportunity to learn new things. 6.25 1.01 Extremely important
Challenging work. 6.08 1.01 Fairly important
Extending your range of abilities. 6.09 1.05 Fairly important
Total 5.67 0.74 Fairly important
The total weighted mean of higher order need strength (5.67
±
0.74) which indicated as “fairly important” need to the
nurses. Moreover, the highest weighted mean reported by
nurses was 6.25
±
1.01 for “the opportunity to learn new
things” followed by 6.24
±
1.11 to the statement “using
skills to the maximum” which both indicated as “extremely
important” needs to nurses. However, the lowest weighted
mean was 5.95
±
1.06 for “the opportunity to make your
own decisions” which indicated “fairly important” need.
3.3.2 Shared values
The results of shared values is presented in Table 4.
Table 4. The weighted means, standard deviations and overall nurses’ responses of shared values
Items of shared values Weighted mean SD Overall response
I share the values and believes of this hospital. 5.56 1.29 Agree moderately
Managers here are understanding about employees having to meet
family responsibilities. 5.33 1.49 Agree moderately
People working here are encouraged to develop themselves. 5.39 1.39 Agree moderately
I am proud to tell people what specialty or profession I’m working in. 5.99 1.26 Agree moderately
I am proud to tell people what institution I’m working at. 6.09 1.18 Agree moderately
Total 5.67 1.08 Agree moderately
The total weighted mean of nurses’ shared value (5.67
±
1.08). Nurses “agreed moderately” to the statement “I am
proud to tell people what institution I’m working at” with
highest weighed mean (6.09
±
1.18). Whereas, the low-
est weighted mean (5.33
±
1.49) was reported by nurses
who “agreed moderately” to the statement “Managers here
are understanding about employees having to meet family
responsibilities”.
3.4 Organizational factors
3.4.1 Sub-factors of job satisfaction survey (JSS)
The results of organizational factors is presented in Table 5.
Nurses ‘agreed moderately’ that supervision and nature of
work can motivate them to work with the total weighted mean
(4.78
±
0.94); (4.53
±
0.85) respectively. Whereas nurses
‘agreed slightly’ that communication and contingent rewards
can motivate them to work with the total weighted mean
(4.28
±
0.91), (3.52
±
0.95). However, nurses ‘disagreed
slightly’ that the pay and promotion can motivate them to
work with a total weighted mean of (3.14
±
0.97), (3.38
±
0.86) respectively. Moreover, nurses ‘disagreed slightly’ that
operating conditions and fringe benefits can motivate nurses
to work with the total weighted mean (2.99
±
0.70), (2.89
±
0.91).
3.4.2 Working conditions
The results of working conditions is illustrated in Table 6.
Published by Sciedu Press 29
http://jnep.sciedupress.com Journal of Nursing Education and Practice 2019, Vol. 9, No. 9
Table 5. The weighted means, standard deviations and overall responses of nurses in JSS (n = 280)
Items Mean SD Overall response
Pay
1- I feel I am being paid a fair amount for the work I do. 3.26 1.61 Disagree slightly
10- Raises are too few and far between. 2.86 1.26 Disagree slightly
19- I feel unappreciated by the organization when I think about what they pay me. 3.36 1.47 Disagree slightly
28- I feel satisfied with my chances for salary increases. 3.08 1.75 Disagree slightly
Total 3.14 0.97 Disagree slightly
Promotion
2- There is really too little chance for promotion on my job. 3.04 1.47 Disagree slightly
11- Those who do well on the job stand a fair chance of being promoted. 3.74 1.41 Agree slightly
20- People get ahead as fast here as they do in other places. 3.41 1.25 Disagree slightly
33- I am satisfied with my chances for promotion. 3.34 1.44 Disagree slightly
Total 3.38 0.86 Disagree slightly
Supervision
3- My supervisor is quite competent in doing his/her job. 4.78 1.20 Agree moderately
12- My supervisor is unfair to me. 4.99 1.29 Agree moderately
21- My supervisor shows too little interest in the feelings of subordinates. 4.48 1.41 Agree moderately
30- I like my supervisor. 4.88 1.15 Agree moderately
Total 4.78 0.94 Agree moderately
Fringe
Benefits
4- I am not satisfied with the benefits I receive. 3.08 1.54 Disagree slightly
13- The benefits we receive are as good as most other organizations offer. 2.91 1.43 Disagree slightly
22- The benefit package we have is equitable. 3.18 1.34 Disagree slightly
29- There are benefits we do not have which we should have. 2.38 1.55 Disagree moderately
Total 2.89 0.91 Disagree slightly
Contingent
rewards
5- When I do a good job, I receive the recognition for it that I should receive. 3.90 1.48 Agree slightly
14- I do not feel that the work I do is appreciated. 3.79 1.47 Agree slightly
23- There are few rewards for those who work here. 3.19 1.26 Disagree slightly
32- I don’t feel my efforts are rewarded the way they should be. 3.21 1.40 Disagree slightly
Total 3.52 0.95 Agree slightly
Operating
conditions
6- Many of our rules and procedures make doing a good job difficult. 3.03 1.24 Disagree slightly
15- My efforts to do a good job are seldom blocked by red tape. 3.16 1.35 Disagree slightly
24- I have too much to do at work. 2.87 1.32 Disagree slightly
31- I have too much paperwork and documentation. 2.90 1.54 Disagree slightly
Total 2.99 0.70 Disagree slightly
Coworkers
7- I like the people I work with. 4.85 1.04 Agree moderately
16- I find I have to work harder at my job because of the incompetence of people I work with. 4.13 1.42 Agree slightly
25- I enjoy my coworkers. 4.67 1.15 Agree moderately
34- There is too much fighting at work. 4.11 1.52 Agree slightly
Total 4.44 0.94 Agree moderately
Nature of
work
8- I sometimes feel my job is meaningless. 4.26 1.48 Agree slightly
17- I like doing the things I do at work. 4.71 1.09 Agree moderately
27- I feel a sense of pride in doing my job. 4.74 1.06 Agree moderately
35- My job is enjoyable. 4.40 1.22 Agree moderately
Total 4.53 0.85 Agree moderately
Communi-
cation
9- Communications seem good within this organization. 4.26 1.18 Agree slightly
18- The goals of this organization are not clear to me. 4.79 1.31 Agree moderately
26- I often feel that I do not know what is going on with the organization. 3.78 1.37 Agree slightly
36- Work assignments are not fully explained. 4.27 1.51 Agree slightly
Total 4.28 0.91 Agree slightly
The results of working conditions is illustrated in Table 6.
Half of nurses (52.5%) had overtime in their hospital. In
terms of working for others, half of nurses (55.7%) were
seldom working for their colleagues who are ill or absent
for other reasons in addition to their own work. Regard-
ing participants’ schedule, two third of nurses (61.1%) were
rotating between day and night shifts and almost one third
(28.9%) had fixed schedule (day work with regular working
30 ISSN 1925-4040 E-ISSN 1925-4059
http://jnep.sciedupress.com Journal of Nursing Education and Practice 2019, Vol. 9, No. 9
hours). In addition, the most three opportunities needed by
nurses were “flexible working hour”, followed by “change
shift with other”, and “plan your working schedule by your
own” respectively 46.4%, 28.9% and 28.6%.
3.5 Correlations between nurses’ work motivation and
(personal & organizational) factors
Correlations between nurses’ work motivation and personal
and organizational factors is found in Table 7.
Table 6. Frequency and relative frequency distribution of the sample according to working conditions variables
Working conditions instrument Classes of Variables n = 280
f %
Do you work overtime in your
hospital?
Yes 147 52.5
No 133 47.5
How often do you have to do the
work of colleagues who are ill or
absent for other reasons in
addition to your own regular
work?
Never 31 11.1
Seldom 156 55.7
Quite often 64 22.9
Very often 18 6.4
Does not apply 11 3.9
What kind of working schedule do
you have in your current position?
Day work with regular working hours (fixed schedule) 81 28.9
Shift work without nights 20 7.1
Rotating day and nights shifts 171 61.1
Only night shifts 4 1.4
Other 4 1.4
Needing any of these
opportunities
1- Flexible working hour 130 46.4
2- Nursery at work-place or the compensation of it 50 17.9
3- Share the workload or shift to some-one else 58 20.7
4- Work at or from home in normal working hours 27 9.6
5- Change your shift with someone else 81 28.9
6- Plan your working schedule on your own (pick suitable date, time etc.) 80 28.6
7- Parental leave 66 23.6
8- None of these 68 24.3
4. DISCUSSION
4.1 Personal factors affecting nurses’ work motivation
The current study demonstrated that the attainment of higher
order needs was positively correlated with IM and all types
of EM. This result is in line with a study which suggested
that attainment of higher order needs increased both IM and
EM level of hospital nurses.
[5]
This can be explained by
the notion that nurses at the current hospital had the need
for achievement, growth and self-actualization (higher order
needs), while the stronger need was for material and social
benefits (lower order need).
In the context of higher order needs, nurses in the current
study highlighted that opportunity to learn new things and
the maximum use of skills were the highest needs. This
result is in agreement with another study suggested that most
motivations common among nurses were satisfied derived
from a sense of accomplishment followed by the desired to
learn new things.
[9]
Nursing and technology advances move
fast. Thus, new nurses require advanced knowledge and
experience at work to be more familiar with new technology.
The results of the present study revealed that shared values
were positively correlated with nurses’ work motivation (with
both IM and EM). This result is supported in the literature
which indicated that shared values is positively associated
with IM and with two types of EM namely identified reg-
ulation and external regulation.
[35, 37]
Nurses at the current
hospital had more shared values with their organization and
therefore were more autonomously and intrinsically moti-
vated. A possible explanation for this is that if the nurses’
values of and their organization are compatible the values
will be internalized. Consequently, nurses will have more
self-direction and their work become more meaningful and
personally important.
4.2 Organisational factors and extrinsic work motiva-
tion
This study found that there is a positive relationship between
promotion and EM (identified regulation and external regu-
Published by Sciedu Press 31
http://jnep.sciedupress.com Journal of Nursing Education and Practice 2019, Vol. 9, No. 9
lation). This outcome is corresponding to previous studies
that found the promotion as a predictors of health worker
motivation.
[27, 37–39]
The positive relationship between pro-
motion and EM can be explained by the fact that giving the
opportunity for promotion within the hospital will allow the
nurse to achieve life’s goal through the work involvement
and organizational commitment. Additionally, opportunities
for promotion can give the nurse a sense of value leading
to increase the motivation level. Furthermore, new or high
responsibilities with the new promoted job can fulfils nurses’
career plan. In addition to this, when the nurse is promoted
within the hospital this lead to an increase within the salary
and therefore nurses can be motivated by having an allowance
and have a good standard of living.
Table 7. The correlations between work motivation and personal and organizational factors (n = 280)
Work Motivation
Factors The test Intrinsic work
motivation
Identified
regulation
Introjected
regulation
External
regulation
Personal factors
Higher order need strength Spearman 0.310** 0.294** 0.287** 0.373**
(p-value) .000 .000 .000 .000
Shared values Spearman 0.425** 0.404** 0.395** 0.253**
(p-value) .000 .000 .000 .000
Organizational factors
Pay Spearman 0.218** 0.170** 0.183** 0.192**
(p-value) .000 .004 .002 .001
Promotion Spearman 0.086 0.132* 0.110 0.137*
(p-value) .149 .028 .066 .022
Supervision Spearman 0.197** 0.207** 0.192** 0.055
(p-value) .001 .001 .001 .359
Fringe Benefits Spearman 0.143* 0.124* 0.100 0.048
(p-value) .017 .038 .097 .425
Contingent rewards Spearman 0.221** 0.219** 0.207** 0.105
(p-value) .000 .000 .000 .078
Operating conditions Spearman 0.070 0.010 0.089 0.002
(p-value) .241 .871 .138 .974
Coworkers Spearman 0.205** 0.225** 0.171** 0.042
(p-value) .001 .000 .004 .481
Nature of work Spearman 0.538** 0.400** 0.333** 0.098
(p-value) .000 .000 .000 .103
Communication Spearman 0.174** 0.205** 0.193** 0.070
(p-value) .003 .001 .001 .246
*p < .05; **p < .01
4.3 Organisational factors and intrinsic and extrinsic
work motivation
This study demonstrated that there is a positive relationship
between pay and IM and all types of EM. This finding is
compatible to previous studies suggested that salary increase
is important motivating factor could promote nurses’ work
motivation level.
[20, 22, 24, 28, 30, 40–42]
This can be explained
by the fact that income and financial allowance is impor-
tant motivators which able to fulfil various individual needs.
Moreover, receiving a good salary for all nurses can result in
feeling of enjoyment and pleasure in doing the work.
Regarding the supervision in this hospital, this study demon-
strated that there was a positive relationship between super-
vision and IM and EM. This outcome is corresponding to
previous study which found that supervision is associated
with healthcare workers’ motivation.
[43, 44]
Similarly, super-
visors’ support was found to be important motivating factors
in several studies.
[11, 16, 20]
Supportive supervision can create
a healthy work environment as nurses can feel the sense of
pleasure and fun in their job as well as assist them to meet
their personal values.
Considering the contingent rewards, this study demonstrated
32 ISSN 1925-4040 E-ISSN 1925-4059
http://jnep.sciedupress.com Journal of Nursing Education and Practice 2019, Vol. 9, No. 9
that there is a positive relationship between contingent re-
wards (as recognition, appreciation and rewards) and IM and
EM. Comparing the current result, it was suggested that re-
wards and nurses’ work motivation are directly and positively
associated.
[46]
This finding is consistent with several studies
found contingent rewards as motivating factors which can
increase nurses’ work motivation level.
[20, 26, 28, 42]
The fact
that being recognized and appreciated is a validation of the
nurse competence and therefore this can motivate nurses to
work.
Regarding the co-workers, this study revealed a positive rela-
tionship between co-workers and IM and EM. This finding is
compatible with several studies which found that nurses can
be motivated with their co-workers as effective team work
is considered as important motivating factors in the health-
care organization.
[11, 22, 47]
In addition, functional teamwork
increased intrinsic work motivation only.
[35]
Good relation-
ship between coworkers enhance work to be more fun and fit
nurses’ values. Moreover, high competition between nurses
can motivate them to work hard to avoid failure and blame
and increase their chance to success.
With regards to communication, the current study revealed
a positive relationship between communication and IM and
EM. This finding is consistent with previous studies sug-
gested that supportive relationship in the workplace (be-
tween team members) that valued effective communication
and feedback was found to be linked with an increase of
nurses’ work motivation.
[17, 19, 22, 45]
Similarly, effective com-
munication in the organization increased the health workers
motivation.
[38]
Therefore, effective communication between
team members make the job enjoyable and fun as well as
allow nurses to reach their goals and be a winner which will
increase work motivation level. Additionally, the results that
communication associated with introjected regulation indi-
cates a certain external pressure as there are many nurses who
communicate well not because they have an inner interest,
but rather because they are afraid from failure and losing the
respect of individuals who have placed a lot of expectations
on them.
The current study was conducted in one governmental hospi-
tal in SA, and therefore it is difficult to generalize the results
of the current study as SA is characterized by having differ-
ent healthcare systems and therefore different work contexts.
In addition, finding and selecting appropriate instrument for
measuring all the organizational factors that are related to
nurses’ work motivation was very challenging in designing
this study due to the in-depth search in the database and con-
sultations with several academic staff in this domain. This
was resulted in using two previously used scales were JSS
[36]
and working condition scale.
[35]
Unlike other tools about
work in general, these were considered to describe uniquely
nurses’ common working conditions and work-place features
in the actual context of their professional work.
5. CONCLUSION
This study found that pay is an important factor affecting all
types of nurses’ work motivation. Furthermore, among all
the correlations between work motivation and organizational
factors, the highest correlation was found between nature of
work and each of intrinsic work motivation followed by iden-
tified regulation then introjected regulation of extrinsic work
motivation. However, no correlation was found between op-
erating conditions (including rules and procedure and work
overload) and all types of work motivation. The results of
this study are difficult to be generalized as this study was
conducted in one governmental hospital in SA.
There is a need for enhancing motivation strategies by pro-
viding satisfactory remuneration for nurses as insufficient
amount of payment and allowances would lead to low level
of work motivation. Increase the chances of promotion for
nurses in the current hospital by increasing the number of
the new positions as required such as having nurse educators’
positions within the units that need this service. Encourage
supportive supervision by paying more consideration and in-
terest to the feeling of staff as well as to be fair in treating all
the staff in a similar way within the organization to promote
positive managerial practices and create motivation strate-
gies that focus on justice, positive environment to increase
motivation level among nurses. Increase the chance for the
nurses to have flexible working hours, such as part time op-
portunity to nurses which assist them to achieve better work
life balance and increase work motivation level. Providing
flexible policy that allow nurses to change shift with other
when possible and allow them to plan their working sched-
ule by their own such as pick the appropriate time and date.
Assess nurses’ work motivation level by surveying nurses
frequently. Moreover, a qualitative research is required to
explore how and why personal and organizational factors
affecting nurses’ work motivation by using interviews and
focus groups for more in-depth exploration and explanation
regarding nurses’ work motivation. Furthermore, a further
study is needed to examine the impact of nurses’ motivation
at work and patients’ outcomes.
ACKNOWLEDGEMENTS
Special thanks to my family members in particular my par-
ents, husband and kids for their continuous support and en-
couragement. Also, I would like to offer my sincere thanks
Published by Sciedu Press 33
http://jnep.sciedupress.com Journal of Nursing Education and Practice 2019, Vol. 9, No. 9
and appreciation to M Gagne, P Warr, K Toode and PE Spec-
tor who gave me the permission to conduct my research using
their tools.
CON FLICT S OF INTEREST DISCLOSURE
The authors declare that there is no conflict of interest.
REFERENCES
[1]
Ryan RM, Deci EL. Intrinsic and extrinsic motivations: Classic defi-
nitions and new directions. Contemporary Educational Psychology.
2000; 25(1): 54-67. PMid:10620381
https://doi.org/10.100
6/ceps.1999.1020
[2]
Heidarian AR, Kelarijani SE, Jamshidi R, et al. The relationship
between demographic characteristics and motivational factors in the
employees of social security hospitals in Mazandaran. Caspian Jour-
nal of Internal Medicine. 2015; 6(3): 170.
[3]
Franco LM, Bennett S, Kanfer R. Health sector reform and public
sector health worker motivation: a conceptual framework. Social
Science & Medicine. 2002; 54(8): 1255-1266.
https://doi.org/
10.1016/S0277-9536(01)00094- 6
[4]
Marquis BL, Huston CJ. Leadership Rules and Management Func-
tions in Nursing. Philadelphia: Wolters Kluwer Health/Lippincott
Williams & Wilkins; 2012.
[5]
Toode K, Routasalo P, Helminen M, et al. Hospital nurses’ individual
priorities, internal psychological states and work motivation. Inter-
national Nursing Review. 2014; 61(3): 361-370. PMid:25091088
https://doi.org/10.1111/inr.12122
[6]
Battistelli A, Galletta M, Portoghese I, et al. Mindsets of commitment
and motivation: Interrelationships and contribution to work outcomes.
The Journal of Psychology. 2013; 147(1): 17-48. PMid:23472442
https://doi.org/10.1080/00223980.2012.668146
[7]
Galletta M, Portoghese I, Battistelli A. Intrinsic motivation, job auton-
omy and turnover intention in the Italian healthcare: The mediating
role of affective commitment. Journal of Management Research.
2011; 3(2): 1. https://doi.org/10.5296/jmr.v3i2.619
[8]
Koch SH, Proynova R, Paech B, et al. The perfectly motivated nurse
and the others: workplace and personal characteristics impact pref-
erence of nursing tasks. Journal of Nursing Management. 2014;
22(8): 1054-1064. PMid:24033771
https://doi.org/10.1111/
jonm.12083
[9]
G˘
ad˘
alean I, Pop F, Cheptea M. Motivation and professional perfor-
mance in nursing. Acta Medica Transilvanica. 2013; 18(3).
[10]
Thu NTH, Wilson A, McDonald F. Motivation or demotivation
of health workers providing maternal health services in rural ar-
eas in Vietnam: findings from a mixed-methods study. Human
Resources for Health. 2015; 13(1): 91. PMid:26626015
https:
//doi.org/10.1186/s12960-015- 0092-5
[11]
Bhatnagar A, Gupta S, Alonge O, et al. Primary health care workers’
views of motivating factors at individual, community and organiza-
tional levels: a qualitative study from Nasarawa and Ondo states,
Nigeria. The International Journal of Health Planning and Manage-
ment. 2017; 32(2): 217-233. PMid:27062268
https://doi.org/
10.1002/hpm.2342
[12]
Van Beek AP, Wagner C, Frijters DH, et al. The ties that bind?
Social networks of nursing staff and staff’s behaviour towards
residents with dementia. Social Networks. 2013; 35(3): 347-356.
https://doi.org/10.1016/j.socnet.2013.03.006
[13]
Ryan JC. Development of a measure of work motivation for a meta-
theory of motivation. Psychological Reports. 2011; 108(3): 743-755.
PMid:21879620
https://doi.org/10.2466/01.14.20.PR0.1
08.3.743-755
[14]
Warr P. Jobs and job-holders: Two sources of happiness and unhappi-
ness. The Oxford handbook of happiness. 2013; 733-750.
[15]
Hackman JR. Work redesign and motivation. Professional Psychol-
ogy. 1980; 11(3): 445.
https://doi.org/10.1037/0735-7028.
11.3.445
[16]
Purohit B, Maneskar A, Saxena D. Developing a tool to assess mo-
tivation among health service providers working with public health
system in India. Human Resources for Health. 2016; 14(1): 15.
PMid:27080388
https://doi.org/10.1186/s12960-016- 011
1-1
[17]
Gaki E, Kontodimopoulos N, Niakas D. Investigating demographic,
work-related and job satisfaction variables as predictors of motivation
in Greek nurses. Journal of Nursing Management. 2013; 21(3): 483-
490. PMid:23409751
https://doi.org/10.1111/j.1365-283
4.2012.01413.x
[18]
Ibeziako O, Chabikuli O, Olorunju S. Hospital reform and staff
morale in South Africa: a case study of Dr Yusuf Dadoo Hospi-
tal. South African Family Practice. 2013; 55(2): 180-185.
https:
//doi.org/10.1080/20786204.2013.10874330
[19]
Van Beek I, Hu Q, Schaufeli WB, et al. For fun, love, or money: What
drives workaholic, engaged, and burned-out employees at work? Ap-
plied Psychology. 2012; 61(1): 30-55.
https://doi.org/10.111
1/j.1464-0597.2011.00454.x
[20]
Kamanzi J, Nkosi Z. Motivation levels among nurses working at
Butare University teaching hospital, Rwanda. Africa Journal of Nurs-
ing and Midwifery. 2011; 13(2): 119-131.
[21]
Zinnen V, Paul E, Mwisongo A, et al. Motivation of human resources
for health: a case study at rural district level in Tanzania. The Interna-
tional Journal of Health Planning and Management. 2012; 27(4): 327-
347. PMid:22714251 https://doi.org/10.1002/hpm.2117
[22]
Jaiswal P, Singhal AK, Gadpayle AK, et al. Level of motiva-
tion amongst health personnel working in a tertiary care govern-
ment hospital of New Delhi, India. Indian Journal of Commu-
nity Medicine: Official Publication of Indian Association of Pre-
ventive & Social Medicine. 2014; 39(4): 235. PMid:25364148
https://doi.org/10.4103/0970-0218.143027
[23]
Zarei E, Najafi M, Rajaee R, et al. Determinants of job motivation
among frontline employees at hospitals in Tehran. Electronic Physi-
cian. 2016; 8(4): 2249. PMid:27280000
https://doi.org/10.1
9082/2249
[24]
Said RM, Abed FA, Abdo LM. Work Motivating Factors as Identifed
by Nurses in Children Hospital at Elmonira and Specialized Pediatric
Hospital Cairo University. The Medical Journal of Cairo University.
2013; 81(2).
[25]
Sato M, Maufi D, Mwingira UJ, et al. Measuring three aspects of
motivation among health workers at primary level health facilities in
rural Tanzania. PloS One. 2017; 12(5): e0176973. PMid:28475644
https://doi.org/10.1371/journal.pone.0176973
[26]
Negarandeh R, Dehghan-Nayeri N, Ghasemi E. Motivating factors
among Iranian nurses. Iranian Journal of Nursing and Midwifery
Research. 2015; 20(4): 436. PMid:26257797
https://doi.org/
10.4103/1735-9066.161011
[27]
Adzei FA, Atinga RA. Motivation and retention of health workers
in Ghana’s district hospitals: addressing the critical issues. Journal
34 ISSN 1925-4040 E-ISSN 1925-4059
http://jnep.sciedupress.com Journal of Nursing Education and Practice 2019, Vol. 9, No. 9
of Health Organization and Management. 2012; 26(4): 467-485.
PMid:23115900
https://doi.org/10.1108/14777261211251
535
[28]
Dar S, Zehra N, Ahmad F. Extrinsic factors strong motivators for
nurses in tertiary care hospitals. Pak J Med Dent. 2014; 3(1): 31-36.
[29]
Prytherch H, Kakoko D, Leshabari M, et al. Maternal and newborn
healthcare providers in rural Tanzania: in-depth interviews exploring
influences on motivation, performance and job satisfaction. Rural
Remote Health. 2012; 12(3).
[30]
Negussie N. Relationship between rewards and nurses’ work motiva-
tion in Addis Ababa hospitals. Ethiopian Journal of Health Sciences.
2012; 22(2).
[31]
Al-Turki HA, Al-Turki RA, Al-Dardas HA, et al. Burnout syn-
drome among multinational nurses working in Saudi Arabia. An-
nals of African Medicine. 2010; 9(4). PMid:20935422
https:
//doi.org/10.4103/1596-3519.70960
[32]
Perreira TA, Innis J, Berta W. Work motivation in health care: a
scoping literature review. International Journal of Evidence-based
Healthcare. 2016; 14(4): 175-182. PMid:27552534
https://doi.
org/10.1097/XEB.0000000000000093
[33]
Gagné M, Forest J, Gilbert MH, et al. The Motivation at Work Scale:
Validation evidence in two languages. Educational and Psychological
Measurement. 2010; 70(4): 628-646.
https://doi.org/10.117
7/0013164409355698
[34]
Warr P, Cook J, Wall T. Scales for the measurement of some work
attitudes and aspects of psychological well-being. Journal of Oc-
cupational and Organizational Psychology. 1979; 52(2): 129-148.
https://doi.org/10.1111/j.2044-8325.1979.tb00448.x
[35]
Toode K. Nurses’ work motivation: Essence and associations.
Academic dissertation. University of Tampere. 2015. Available
from:
http://tampub.uta.fi/bitstream/handle/10024/9
6785/978-951- 44-9746- 9.pdf?sequence=1&isAllowed=y
[36]
Spector PE. Job satisfaction survey. In: Tempa: University of South
Florida; 1994.
[37]
Razee H, Whittaker M, Jayasuriya R, et al. Listening to the rural
health workers in Papua New Guinea–the social factors that influ-
ence their motivation to work. Social Science & Medicine. 2012;
75(5): 828-835. PMid:22632846
https://doi.org/10.1016/j.
socscimed.2012.04.013
[38]
Weldegebriel Z, Ejigu Y, Weldegebreal F, et al. Motivation of health
workers and associated factors in public hospitals of West Amhara,
northwest ethiopia. Patient Preference and Adherence. 2016; 10: 159.
PMid:26929608 https://doi.org/10.2147/PPA.S90323
[39]
Ankomah SE, Kumah E, Karikari AK. Health Worker Motivation in
Ghana: the role of non-financial incentives. A case study of Accident
and Emergency Department of Komfo Anokye Teaching Hospital.
International Journal of Biosciences, Healthcare Technology and
Management. 2016; 6: 34-49.
[40]
Akbari J. The Study of Motivating Factors in the Nursing Staff of
Shahid Ansari Hospital of Rudsar. International Journal of Humani-
ties and Cultural Studies (IJHCS). 2016; 1(1): 1589-1597.
[41]
Bonsdorff ME. Age-related differences in reward preferences. The
International Journal of Human Resource Management. 2011; 22(06):
1262-1276.
https://doi.org/10.1080/09585192.2011.5590
98
[42]
Kantek F, Yildirim N, Kavla ˙
I. Nurses’ perceptions of motiva-
tional factors: a case study in a Turkish university hospital. Journal
of Nursing Management. 2015; 23(5): 674-681. PMid:24372763
https://doi.org/10.1111/jonm.12195
[43]
Ojakaa D, Olango S, Jarvis J. Factors affecting motivation and
retention of primary health care workers in three disparate re-
gions in Kenya. Human Resources for Health. 2014; 12(1): 33.
PMid:24906964
https://doi.org/10.1186/1478-4491- 12-3
3
[44]
Dagne T, Beyene W, Berhanu N. Motivation and factors affect-
ing it among health professionals in the public hospitals, central
Ethiopia. Ethiopian Journal of Health Sciences. 2015; 25(3): 231-
242. https://doi.org/10.4314/ejhs.v25i3.6
[45]
Daneshkohan A, Zarei E, Mansouri T, et al. Factors affecting job
motivation among health workers: a study from Iran. Global Journal
of Health Science. 2015; 7(3): 153.
https://doi.org/10.5539/
gjhs.v7n3p153
[46]
Iranmanesh S, Fuladvand M, Ameri GF, et al. Iranian nurses’ organi-
zational commitment and job motivation. Asian Journal of Nursing
Education and Research. 2014; 4(2): 189.
[47]
Ayyash H, Aljeesh Y. Nurses’ Motivation and their Performance
at European Gaza Hospital in Gaza Strip. Journal of Al Azhar
University-Gaza (Natural Sciences). 2011; 13: 55-68.
Published by Sciedu Press 35
... This implies that improving work engagement requires cultivating intrinsic motivation. It also emphasizes how internalizing extrinsic motivation can enhance an employee's work connection and how employees frequently consider both intrinsic and extrinsic motivations when determining their level of job satisfaction [20][21][22]. In addition, another study revealed that healthcare providers showed moderate external regulation for extrinsic motivation but high levels of intrinsic motivation, identified regulation, and introjected regulation [22]. ...
... It also emphasizes how internalizing extrinsic motivation can enhance an employee's work connection and how employees frequently consider both intrinsic and extrinsic motivations when determining their level of job satisfaction [20][21][22]. In addition, another study revealed that healthcare providers showed moderate external regulation for extrinsic motivation but high levels of intrinsic motivation, identified regulation, and introjected regulation [22]. Moreover, one study found that about half of healthcare providers have average levels of motivation regarding extrinsic regulation [23]. ...
Article
Full-text available
In this study, we investigated the motivations of paramedic staff serving in rural and remote communities, given the consistent shortage of healthcare workers in these areas. Using a modified Global Motivation Scale (GMS) questionnaire, we surveyed 450 paramedics in Saudi Arabia, analyzing data from 379 respondents (response rate: 84.2%) with SPSS 29. Chi-square tests explored demographic links to motivation, and ANOVA compared mean scores across groups (p < 0.05). The results showed a moderate overall motivation (M = 3.37, SD = 0.82), with high intrinsic motivation (M = 3.67, SD = 0.96) and relatively high extrinsic motivation, notably in integration (M = 3.48) and identification (M = 3.41). Age and gender significantly influenced motivation (p < 0.05), with individuals aged 24–30 years exhibiting markedly lower motivation. ANOVA confirmed the age, gender, marital status (unmarried), and EMS experience (5–10 years) as significant factors, while the education, job title, and employment site had no significant impact. Scheffe’s post hoc test revealed age-related differences and emphasized the importance of EMS experience. This study suggests that both intrinsic factors and external pressures contribute to the lower motivation in adults in their mid-twenties in rural areas. Experience, particularly in EMS, significantly impacts motivation levels. We recommend tailored interventions that focus on intrinsic motivation and address external pressures to improve retention and care quality.
... Furthermore, it was identified that the relationship between the nurses' quality of work-life and turnover intention was partially mediated by organization loyalty, as quality of work-life is significantly influences organizational loyalty (17). The previous studies (18,19) have identified that work-related issues such as lack of managerial effort to improve the work environment of nurses, seeking perfectionism, support from the ward manager, salary, the relationship at work with other nurses, communication, relationship with team members, and the fairness of shift work between nurses can significantly affect the loyalty and job performance of nurses in Saudi Arabian hospitals. Communication between nurses and between nurses and patients plays an important role in improving the quality of work life, and communication issues were identified to be significantly correlated with the nurses' dissatisfaction (15). ...
... Third part of the questionnaire includes 18 items, measured on a 7-point Likert scale ((SD = 0) strongly disagree; (MD = 1) moderately disagree; (LD = 2) slightly disagree; (O = 3) neither disagree nor agree; (LA = 4) slightly agree; (MA = 5) moderately agree; (SA = 6) strongly agree) related to organizational commitment adapted from OCQ. These are further categorized into affective commitment (items 1-6), continuance commitment (items 7-12), and normative commitment (items [13][14][15][16][17][18]. ...
Article
Full-text available
Purpose The purpose of this study is to analyze the relationship between quality of work-life on the organizational loyalty and job performance in Saudi Arabia. Methods This study used a cross-sectional design for collecting the data related to the nurses' quality of work-life, organizational loyalty, and job performance from nursing staff in Saudi Arabian hospitals. Three questionnaires were used in this study, which includes Quality of Work Life Scale (QWLS), Organizational Commitment Questionnaire (OCQ), and Individual Work Performance Questionnaire (IWPQ). An online version of the survey questionnaire was generated using the Google survey, to which a link is generated for collecting data. At the end of the survey, 243 responses were received. After removing the incomplete responses, 209 responses were considered for the data analysis. The statistical techniques including t-tests and Pearson's correlation were used in the data analysis. Results Nurse managers reflected good quality of life, and high loyalty toward their employers, and also reflected good job performance levels. However, staff nurses reflected poor quality of work-life, organizational loyalty, and job performance. Training and development had strong positive correlation with continuance commitment (r = 0.628, p < 0.01). Job satisfaction and job security held strong positive correlation with task performance (r = 0.601, p < 0.01) and contextual performance (r = 0.601, p < 0.01). Conclusion Quality of work-life, organization loyalty, and job performance are positively correlated, and poor quality of work-life can negatively impact job performance and organizational loyalty of nurses.
... Understanding the motivational factors that influence nurses' actions is essential for improving their performance and productivity. According to Baljoon, Banjar and Banakhar (2019), it was found that the work motivation level is mainly affected by several personal and organizational factors. Besides, it was also seen that there is a positive relationship between the strength and shared values among the nurses' work motivation levels. ...
... An intrinsic factor is a satisfying factor and arises from itself. An intrinsic indicator is the desire to achieve and progress in personal life (Baljoon et al., 2019). Extrinsic factors that influence teacher motivation include the students' level of perception of and desire for learning, justice and communication skills of principals, attitudes and behaviours of colleagues (Börü, 2018). ...
Article
p style="text-align: justify;">Several supporting factors are alleged to influence the performance of teachers. This study aimed to describe the relationship between each research variable and teachers’ performance, either directly or indirectly. This research was conducted through surveys and quantitative approaches that included correlational research types. The research subjects were Hindu religion teachers in 119 state junior high schools, consisting of 517 teachers. The sample of 256 people was determined using the Krejcie and Morgan formula and the Warwick and Lininger formula. The samples from each sub-population were determined with the proportional random sampling technique, and the personal sampling of sample members was determined with the use of lottery techniques. The data were collected using a five-point Likert scale model questionnaire with high validity and reliability. The data analysis technique used in this study was structural equation modelling. The conceptual model met the standards of comprehensive goodness-of-fit requirements. The results of the study show that the average levels of Hindu principals’ leadership, the emotional intelligence of teachers, supervision of school superintendents, school culture, teachers’ work motivation, and the performance of Hindu religion teachers are in the high category. In addition, the hypothesis testing results show there is a significant direct and indirect relationship between the variables in the state junior high school.</p
... This study offers three main research contributions. First, we address the need for research to improve our understanding of why nurses intend to leave the occupation (Baljoon et al., 2019). To date, research has primarily focused on motivational correlates (e.g., job satisfaction), rather than examining the underlying reasons for being fully engaged in the job (Fernet et al., 2017). ...
Article
Aim To examine whether supportive supervisor (transformational leadership) and coworker (autonomy-supportive) behaviors predict occupational commitment and turnover intention over time through autonomous motivation. Background Nurse turnover is a serious issue in several countries, straining the efficiency of the healthcare system and compromising both the quality and accessibility of healthcare. Method Longitudinal data were collected over 12 months from 387 French-Canadian registered nurses. Structural equation modelling was used to test the hypothesized model. Results The relationships between predictors at Time 1 (supervisor and coworker behaviors) and occupational commitment and turnover intention at Time 2 are mediated by autonomous motivation at Time 1. Conclusion In times of global scarcity, the present findings provide insights into how the healthcare work environment acts on nurses’ occupational turnover and commitment. Implications for Nursing Management Healthcare organizations are advised to foster supportive work environments and promote autonomous motivation to sustain the nursing workforce.
Article
Bu çalışmada hemşirelerde meslektaş dayanışması ile iş motivasyonu arasındaki ilişkilerin incelenmesi amaçlanmaktadır. Ayrıca meslektaş dayanışması ile iş motivasyonunun hemşirelerin kişisel ve demografik özelliklerine göre farklılık gösterip göstermediğinin belirlenmesi de çalışmanın amaçları arasındadır. Araştırmanın evrenini, Araştırma Ankara Gazi Üniversitesi Sağlık Araştırma ve Uygulama Merkezi Hastanesinde çalışan hemşireler oluşturmaktadır. Ankara Gazi Üniversitesi Sağlık Araştırma ve Uygulama Merkezi Hastanesi’nde toplam 900 hemşire görev yapmaktadır. Evren için %95 güven düzeyinde hesaplanan örneklem sayısı 270 olmuş ve bu çalışmada 275 kişiye ulaşılmıştır. Çalışmanın verilerinin analizinde iki ortalama arasındaki farkın anlamlılık testi, tek yönlü varyans analizi, değişkenler arasındaki ilişkinin incelenmesinde Korelasyon Analizi ve çok değişkenli regresyon analizinden yararlanılmıştır. Analizlerde, 0,05 anlamlılık düzeyi esas alınmıştır. Çalışmada katılımcıların iş motivasyonu düzeylerinin orta, meslektaş dayanışma algısının yüksek düzeyde olduğu saptanmıştır. Analizlerde iş motivasyonunda yaş, cinsiyet, eğitim ve kadro değişkenlerinde; hemşirelerde meslektaş dayanışmasında ise yaş, cinsiyet, eğitim, toplam çalışma süresi ve kadro değişkenlerinde istatistiksel olarak anlamlı farklılık olduğu belirlenmiştir. Çalışmada hemşirelerde meslek dayanışmasının iş motivasyonunu pozitif ve anlamlı olarak etkilediği belirlenmiştir.
Article
Full-text available
Frontline health workers are the backbone of effective health systems – they are often based in the community and come from the community they serve, they play a critical role in providing a local context for proven health solutions, and they connect families and communities to the health system. Supartini (2022) resolute that nurses can create a more comfortable and comforting environment for the patients they serve especially in times of uncertainty. Undesirably, as the Philippines scuffled with the effect of the COVID-19 pandemic, the Department of Health is filling up the slots for much-needed healthcare workers in both the private and public sectors to help the country battle the COVID19 pandemic (Department of Health, 2020). Likewise, Tomacruz (2021) mentioned the government is also facing another battle that health workers groups warned mass resignations and protests could take place in hospitals across the country if the government does not fulfill its promise to improve support for the sector. Hence, American Nurses Association (2020) denounced nurses may struggle with the call and may choose not to respond. Consequently, nurses account for the biggest chunk of hires by profession.This study aimed at understanding and unveiling into the grey: the lived experiences of clinical instructors turned frontliners in the now normal. The researcher utilized the phenomenological research design to understand and explore the lived experiences of clinical instructors as frontliners in the now normal.The substantial outcomes of the study as to the lived experiences of clinical instructors turned frontliners in the now normal: ten (10) themes shared reality pertained to the lived experiences of clinical instructors turned frontliners in the now normal. It was disclosed that achieving professional goals, financial support and self-development, fulfilling job, shaping the lives of young people vs. providing hands on care for patients, intense physical and emotional pressure, work commitment and dedication, competitive pay was livened and appreciated by the clinical instructors who left the academe and served as frontliners in now normal. Moreover, coping mechanisms with demands and challenges of respondents involved prioritizing, time management, benefits, adaptability and self-care
Article
Full-text available
Background The threshold of 2.3 skilled health workers per 1,000 population, published in the World Health Report in 2006, has galvanized resources and efforts to attain high coverage of skilled birth attendance. With the inception of the Sustainable Development Goals (SDGs), a new threshold of 4.45 doctors, nurses, and midwives per 1,000 population has been identified. This SDG index threshold indicates the minimum density to respond to the needs of health workers to deliver a much broader range of health services, such as management of non-communicable diseases to meet the targets under Goal 3: Ensure healthy lives and promote well-being for all people of all ages. In the United Republic of Tanzania, the density of skilled health workers in 2012 was 0.5 per 1,000 population, which more than doubled from 0.2 per 1,000 in 2002. However, this showed that Tanzania still faced a critical shortage of skilled health workers. While training, deployment, and retention are important, motivation is also necessary for all health workers, particularly those who serve in rural areas. This study measured the motivation of health workers who were posted at government-run rural primary health facilities. Objectives We sought to measure three aspects of motivation—Management, Performance, and Individual Aspects—among health workers deployed in rural primary level government health facilities. In addition, we also sought to identify the job-related attributes associated with each of these three aspects. Two regions in Tanzania were selected for our research. In each region, we further selected two districts in which we carried out our investigation. The two regions were Lindi, where we carried out our study in the Nachingwea District and the Ruangwa District, and Mbeya, within which the Mbarali and Rungwe Districts were selected for research. All four districts are considered rural. Methods This cross-sectional study was conducted by administering a two-part questionnaire in the Kiswahili language. The first part was administered by a researcher, and contained questions for gaining socio-demographic and occupational information. The second part was a self-administered questionnaire that contained 45 statements used to measure three aspects of motivation among health workers. For analyzing the data, we performed multivariate regression analysis in order to evaluate the simultaneous effects of factors on the outcomes of the motivation scores in the three areas of Management, Performance, and Individual Aspects. Results Motivation was associated with marital status (p = 0.009), having a job description (p<0.001), and number of years in the current profession (<1 year: p = 0.043, >7 years: p = 0.042) for Management Aspects; having a job description (p<0.001) for Performance Aspects; and salary scale (p = 0.029) for Individual Aspects. Conclusion Having a clear job description motivates health workers. The existing Open Performance Review and Appraisal System, of which job descriptions are the foundation, needs to be institutionalized in order to effectively manage the health workforce in resource-limited settings.
Article
Full-text available
The success of every health care system greatly depends on the extent to which health workers are motivated. Over the past years, many health care organisations in Ghana have heavily relied on financial incentives as the major way of motivating health care staff. In spite of these, morale of health workers in Ghana continues to decline. Recent studies have shown that to address the problem of health worker constraints, health care organisations need to move beyond the usual traditional human resource management approaches that apply financial incentives to motivate and retain health workers. Instead, health care managers have been urged to consider using non-financial incentives to motivate and retain health workers. This study was therefore conducted to examine the role of non-financial incentives on health worker motivation. The study was a quantitative study, specifically questionnaire survey. A total of 150 health workers were sampled for this study. Data gathered were analyzed using descriptive statistical tools such as bar graphs and pie charts. The findings of this study confirmed other findings that the state of health worker morale in Ghana is low. The study further revealed that health workers considered the working environment as the highest and most important non-financial motivator. This was followed by training and career development; provision of staff accommodation; job security; promotion, growth and development; recognition, praise and acknowledgment. These findings also confirmed other findings that non-financial incentives play a critical role in motivating health workers in Ghana. The study therefore recommended that non-financial incentives should be given much priority when motivating health workers in Ghana. The study further recommended for an improvement in the physical and social environment of health care organizations as well as providing enough training and career development programmes for health workers.
Article
Full-text available
Introduction: Human resources are the most strategic resource and the most significant input for health systems. Their behavior and motivation can strongly affect the overall performance of the health systems. The aim of this study was to determine the factors that affect motivation in front-line employees at teaching hospitals affiliated with Shahid Beheshti University of Medical Sciences (SBMU) in Tehran, Iran. Methods: This cross-sectional study was conducted in 2015. The participants (nurses, physiotherapists, radiology and laboratory technicians, operating room and pharmacy staff) were 300 employees selected by the stratified random sampling method from two general and teaching hospitals. The data collection instrument was a questionnaire that consisted of 42 questions in the 7 domains of motivational factors. Data analysis was performed using descriptive statistics and independent samples t-test by SPSS software, version 23. Results: The findings indicated that working relationships (mean of 3.95) were the main determinant of job motivation of front-line employees. Job content (3.76) career development (3.75), social respect (3.75), and autonomy (3.30) were the next four affective factors. Recognition and remuneration had the least influence on the job motivation of front-line employees. The results of the Friedman test indicated that the difference between the mean scores of different dimensions was significant (χ2(6) = 607.00, p < 0.001). Conclusion: A hospital that seeks to engender increased motivation of its front-line employees should have in place a human resources strategy that includes facilitating communication between personnel and management, supporting employees in the community, and promoting social respect for health professions, providing educational opportunities and career development, development of appropriate promotional policies, employee participation in goal setting, facilitating a good working environment and job security, job enrichment, and delegation. Keywords: job motivation, work motivation, front-line employee, teaching hospital
Article
Full-text available
Background Addressing the shortage of health service providers (doctors and nurses) in rural health centres remains a huge challenge. The lack of motivation of health service providers to serve in rural areas is one of the major reasons for such shortage. While many studies have aimed at analysing the reasons for low motivation, hardly any studies in India have focused on developing valid and reliable tools to measure motivation among health service providers. Hence, the objective of the study was to test and develop a valid and reliable instrument to assess the motivation of health service providers working with the public health system in India and the extent to which the motivation factors included in the study motivate health service providers to perform better at work. Methods The present study adapted an already developed tool on motivation. The reliability and validity of the tool were established using different methods. The first stage of the tool development involved content development and assessment where, after a detailed literature review, a predeveloped tool with 19 items was adapted. However, in light of the literature review and pilot test, the same tool was modified to suit the local context by adding 7 additional items so that the final modified tool comprised of 26 items. A correlation matrix was applied to check the pattern of relationships among the items. The total sample size for the study was 154 health service providers from one Western state in India. To understand the sampling adequacy, the Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett’s test of sphericity were applied and finally factor analysis was carried out to calculate the eigenvalues and to understand the relative impact of factors affecting motivation. Results A correlation matrix value of 0.017 was obtained narrating multi-co-linearity among the observations. Based on initial factor analysis, 8 out of 26 study factors were excluded from the study components with a cutoff range of less than 0.6. Running the factor analysis again suggested the inclusion of 18 items which were subsequently labelled under the following heads: transparency, goals, security, convenience, benefits, encouragement, adequacy of earnings and further growth and power. Conclusions There is a great need to develop instruments aimed at assessing the motivation of health service providers. The instrument used in the study has good psychometric properties and may serve as a useful tool to assess motivation among healthcare providers.
Article
Full-text available
Background: Health professionals' motivation reflects the interaction between health professionals and their work environment. It can potentially affect the provision of health services; however, this important attribute of the workplace climate in public hospitals is not usually given serious attention to the desired level. For this reason, the authors of this study have assessed the level of motivation of health professionals and associated factors in public hospitals of West Amhara, Northwest Ethiopia. Methods: A facility based cross-sectional study was conducted in eight public hospitals of West Amhara from June 1 to July 30, 2013. A total of 304 health professionals were included in this study. The collected data were analyzed using SPSS software version 20. The reliability of the instrument was assessed through Cronbach's α. Factor scores were generated for the items found to represent the scales (eigenvalue greater than one in varimax rotation) used in the measurement of the variables. The scores were further analyzed using one-way analysis of variance, t-tests, Pearson's correlation, and hierarchical multiple linear regression analyses. The cut-off point for the regression analysis to determine significance was set at β (95% confidence interval, P<0.05). Results: Mean motivation scores (as the percentage of maximum scale scores) were 58.6% for the overall motivation score, 71.0% for the conscientiousness scale, 52.8% for the organizational commitment scale, 58.3% for the intrinsic motivation scale, and 64.0% for organizational burnout scale. Professional category, age, type of the hospital, nonfinancial motivators like performance evaluation and management, staffing and work schedule, staff development and promotion, availability of necessary resources, and ease of communication were found to be strong predictors of health worker motivation. Across the hospitals and professional categories, health workers' overall level of motivation with absolute level of compensation was not significantly associated with their overall level of motivation. Conclusion: The strongest drivers of all motivation dimensions were found to be nonfinancial human resource management tools, so policy makers and health workforce stake holders should focus on these tools to alleviate motivation problems.
Article
Aim: The aim of this scoping literature review was to examine and summarize the factors, context, and processes that influence work motivation of health care workers. Methods: A scoping literature review was done to answer the question: What is known from the existing empirical literature about factors, context, and processes that influence work motivation of health care workers? This scoping review used the Arksey and O'Malley framework to describe and summarize findings. Inclusion and exclusion criteria were developed to screen studies. Relevant studies published between January 2005 and May 2016 were identified using five electronic databases. Study abstracts were screened for eligibility by two reviewers. Following this screening process, full-text articles were reviewed to determine the eligibility of the studies. Eligible studies were then evaluated by coding findings with descriptive labels to distinguish elements that appeared pertinent to this review. Coding was used to form groups, and these groups led to the development of themes. Results: Twenty-five studies met the eligibility criteria for this literature review. The themes identified were work performance, organizational justice, pay, status, personal characteristics, work relationships (including bullying), autonomy, organizational identification, training, and meaningfulness of work. Conclusion: Most of the research involved the use of surveys. There is a need for more qualitative research and for the use of case studies to examine work motivation in health care organizations. All of the studies were cross-sectional. Longitudinal research would provide insight into how work motivation changes, and how it can be influenced and shaped. Several implications for practice were identified. There is a need to ensure that health care workers have access to training opportunities, and that autonomy is optimized. To improve work motivation, there is a need to address bullying and hostile behaviours in the workplace. Addressing the factors that influence work motivation in health care settings has the potential to influence the care that patients receive.
Article
Background: Current efforts to motivate primary health workers in Nigeria focus on better financial incentives, and the role of other motivating factors has received less attention. The aim of this study is to explore individual and organizational determinants, their interactions and effects on motivation. Methods: Exploratory qualitative research, involving semi-structured interviews with 29 primary health workers (doctors, nurses, midwives and community health workers), was conducted in Nasarawa and Ondo states in Nigeria. Nine key informant interviews were conducted with government officials. Interviews were digitally recorded, transcribed and coded. Thematic analysis was conducted to identify common themes, as well as unique narratives. Results: Results from this study suggest that health workers are motivated by individual (vocation, religion, humanity and self-efficacy) and organizational (monetary incentives, good working environment) factors and community recognition. Supervision and leadership provided by the officer in charge as compared with that by external agencies appeared to have a positive effect on motivation. Conclusions: Policy makers and donor agencies should take into account a broader range of factors while designing strategies to motivate the health workforce. The study also underscores how officer in charges with enhanced skills are likely to motivate health workers by creating a more supportive environment.
Article
Intrinsic and extrinsic types of motivation have been widely studied, and the distinction between them has shed important light on both developmental and educational practices. In this review we revisit the classic definitions of intrinsic and extrinsic motivation in light of contemporary research and theory. Intrinsic motivation remains an important construct, reflecting the natural human propensity to learn and assimilate. However, extrinsic motivation is argued to vary considerably in its relative autonomy and thus can either reflect external control or true self-regulation. The relations of both classes of motives to basic human needs for autonomy, competence and relatedness are discussed.