Impact of Human Resource Management Practice and Employees’
Behavioural Outcomes in the Saudi Arabian Manufacturing Sector
SAHAM SALMAN ALISMAIL*
Department of Human Resources Management, Alasala Colleges, Business College, Saudi Arabia,
3402- aljamiymah, Unit No:2, Al Qatif 32662-6759, KSA.
Abstract: The significance of Human Resource (HR) practices in enlightening employee attitudes, such
as work satisfaction, organizational commitment and job engagement, have been widely researched in
the industrial and organizational psychology literature. However, the research has not uncovered
contradicting findings about the connections between employee positive and negative behavioural
outcomes in the case of organizational change. This research analyzes the impact of human resources
management on employee's behavioural outcomes of organizational change with variables such as
organizational commitments, job performance, absenteeism, turnover of employees, employee
productivity and workplace bullying in the Saudi Arabia manufacturing sector (e.g. power generation,
telecommunications, natural gas exploration, and petrochemical sectors). It is widely acknowledged
that the influence of HRM practices may produce a comparative advantage in the performance of
organizations with the well-being of the employees. To find the relationship between the variables, the
study incorporates descriptive research methodologies and quantitative analysis of a valid
questionnaire is performed utilizing stratified and simple, random samples by HR managers and
employees. For data interpretation, a questionnaire of self-administered data was collected from a
sample of 300 in Saudi Arabia. Employee behavioural outcomes of HRM practices have a significant
and positive relationship between Organizational Commitment, Job Performance, Absenteeism, and
Employee Productivity. A negative direct relationship is found between employees’ negative
behaviour regarding the use of workplace bullying and employee turnover. The instrument's internal
reliability was established to be 0.793. Followed by inferential evaluations, a significance-level T-Test
assessment for the benefit of the manufacturing sector evaluates the Hypothesis Test for HRM practice.
The study has some limitations. Although data were collected from various sectors in Saudi Arabia,
the findings of the study have limited generalizability. Future studies could extend the analysis to
include other workplaces. This is the study of the factors affecting the organizational change of
employees’ positive and negative behaviour outcomes which impact organisational growth and
employee wellbeing. This study will contribute to the development of the Saudi Arabian power
generation, telecommunications, natural gas exploration, and petrochemical sectors sector, which may
lead to maintaining this sector work effectively that will have a positive impact on the economy of
Saudi society.
Keywords: Human Resource Management, Organizational Change, Employee Behavioural Outcomes,
Saudi Arabian Manufacturing Sector, SPSS.
Received: April 11, 2022. Revised: May 24, 2023. Accepted: June 17, 2023. Published: July 11, 2023.
1. Introduction
The attention of management scholars and
practitioners is progressively growing in
learning about the capacity to improve
organizational effectivity in particular
'progressive' or 'high-performance' human
resources management practices [1]. The
purpose of HRM is to help the company to
achieve its many objectives, such as business
development, infrastructure modifications,
enhance business processes or expand
knowledge and encourage innovation [2]. The
contribution of diverse HRM methods to
company success may, in effect, be
synergistic, but may depend on other
contextual circumstances, including an
employee's working atmosphere. An
organization's culture greatly impacts the
way its staff comply and functions [3]. The
behaviour of the employees also enriches the
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general culture of the office. In addition, one
cannot be viewed distinctly from the other.
The behavioural results of the workers are
related to the different ways employees react
at work. These emotions are affected by the
workplace fairness perception of employees
[4].
Organizations are always under pressure to
enhance and assure their performance.
Organizations are developing new policies and
programs to meet these key aims. The creation
of a safe workplace, encouraging and
pleasurable job is essential for employees to
achieve their target performance (Cherif, 2020)
[5]. Practices to create the desired culture for
companies include safe, stimulatory, and
employee involvement. Employee morale,
productivity and customer service levels are at
their highest when employees work effectively
as a team and practice basic tenets of civility
and respect for each other. This, unfortunately,
is not always the case when employees display
inappropriate and disruptive behaviours due to
organizational change. Organizational change
can cause stress and anxiety for many
employees, affecting their performance [6]. To
ensure companies undertake large-scale
competitive changes, they need to anticipate the
sorts of reactions that their workers can have
accordingly that they are reassured and helped
to concentrate on the company's success [7].
There is a wide range of behaviours exhibited
by employees that can create risks for other
individuals’ well-being and organizational
growth. Some general categories and examples
include Displaying general incivility/insolence,
and Bullying. Bullying is often directed at
specific individuals, characterized by persistent
abusive and intimidating behaviour or unfair
actions (assigning too much work, constantly
changing deadlines, poor performance ratings,
etc.). HR should adopt the role of the business
partner and help managers look at the
presenting issue and uncover the underlying
issue [8]. In this complex and dynamic
business environment, organizations give more
attention to bullying in workplaces which is
defined to be a situation in which one or more
people persistently, and for a while, feel that
they are receiving negative actions from
managers or colleagues. Poor employment
attitudes are associated with absenteeism. The
commitment of employees is considered to be a
tie or relationship to the company (Mizan, et
al., 2013). If employees are not dedicated to or
pleased with their work, the absenteeism and
turnover rates will be significant (Murat et al.,
2014). To secure the commitments of
employees, companies should develop and use
incentives and encourage their commitment to
increase (Mehwish et al., 2019).
The turnover is higher for individuals with
low performance, undesirable working
attitudes and stress. Personality and younger
people are personal turnover predictors [9].
(Muhammad Imran Rasheed, et al., 2016)
reveals that compensation packages and
financial incentives are important factors for
employees in the competitive market
environment of the higher education sector. It
is not unexpected that bullying in the workplace
has anything to do with the health and well-
being of targeted workers. Most workplace
stress models have in common that stresses in
their employment environment cause adverse
physical, psychological or behavioural changes
that eventually occur in long-term stress
reactions such as reduced performance, job
disgruntlement, and impaired health.
Accordingly, the absenteeism and productivity
of bullying in the workplace are predicted [10].
However, past researchers indicated that there
is insufficient understanding of how the HRM
practice may utilize employee behaviour to
help impact the positive and negative
behavioural results of job outcomes.
To summarize, this article applies the
quantitative approach to understand the impact
of HRM practices on employee behavioural
outcomes due to organizational change. This
study aims to investigate the relationship
between the positive and the negative
behavioural outcomes of Saudi Arabia
employees in manufacturing sectors (power
generation, telecommunications, natural gas
explosion, and petrochemical sectors). More
importantly, the article helps to assess the
influence of HRM practices and how they have
resulted in the growth of organizations with the
well-being of the employee [11-13]. The main
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hypotheses are tested using a cross-sectional
design, with questionnaires administered to 325
employees working in a Saudi Arabia firm,
gathered the research sample in 2021 using a
stratified sampling method. This questionnaire
consists of each dependent and independent
factors like organizational commitments, job
performance, absenteeism, employee turnover,
employee productivity and workplace bullying.
The instrument was validated through pilot
testing. Subjects were asked to indicate their
level of agreement or disagreement with each
statement on a 5-point Likert scale [14].
Finally, the archives are examined using the
Statistical Package for Social Sciences (SPSS)
model. The analysis included Pearson Product-
Moment Correlation, Normality test,
regression, and T-test analyses at a 5% level of
significance.
This paper is arranged as follows. Section 2
details the literature review and hypothesis
development [15]. Section 3 is focusing on a
comprehensive research methodology; this is
followed by section 5 with results. The last
section 6 concludes the study of this research
article.
2. Literature Review and Hypothesis
Development
A decisive subject of HRM research is the
concept that HRM activities are interrelated
and hence bundles rather than isolation should
be investigated to promote desirable results.
Furthermore, researchers exhibited that
employees' real views of HRM systems are
closer to the behaviour of employees and hence
better predictors of their performance. When
HRM methods are applied regularly,
individuals can make subjective contributions
to their work environment, resulting in usually
attitudinal results. Therefore, it is sensitive to
focus on employee negative behaviour to assess
employee-level outcomes of HRM systems.
2.1 Human Resource Management Practices
HRM is an organizational function that
promotes the efficiency of the performance of
an organization and gives a competitive edge to
an organization via its practice application.
HRM methods are individually recognized by
employees and may affect the attitudes and
conduct of employees in turn. Alfred Presbitero
et al [16] researched the influence and impacts
of human resources management on employee
participation in the hotel chain. Vicissitudes
were found in human resources management
methods and alike changes were seen in
employee engagement levels. Outcomes
demonstrate that advances in human-resource
management methods have brought about good
and significant changes in employee
engagement, especially in the field of reward
management and training and development.
Falola H.O et al [17] review the impact of job
involvement techniques on the behavioural
outcomes of employees. Few studies analyzed
how work engagement methods might
contribute to standard work behaviour,
especially in higher institutions. This study
helps the management of higher education
institutions enhance their workers' commitment
level and results of behaviour. The research
contributes to a scientific understanding of
strategic human resources management.
Shaoheng Li et al [18] reports that there are two
results of the link between employee perception
of HRM practice and employee engagement
and the purpose of turnover, which are utilized
in small and medium-sized companies (SMEs)
in China. Employees have important
determinants of employee engagement in their
opinions of HRM activities, such as training,
development, and prize and performance
management. There is a negative direct
relationship between employee attitudes about
using HRM procedures and turnover intentions
Hypothesis 1: There is a positive correlation
between HRM and employee behavioural
outcomes.
Hypothesis 2: There is a positive correlation
between HRM and Workplace Bullying
outcomes.
Hypothesis 3: HRM, employee behavioural,
and workplace bullying outcomes contribute to
the organization.
2.2 HRM and Employee Behavioural
Outcomes
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Several literature studies investigate
connections between practices of human
resources management and behavioural
consequences for employees. In the setting of a
developing economy, namely Bangladesh,
Alima Aktar et al [19] explore the mediating
function of organizational commitment (OC) in
relationships between practices on human
resources (HRM) and the involvement of bank
workers. In the prediction of organizational
involvement in the Saudi Arabic banking
industry, Fatma Cherif et al [20] examined the
function of management of human resources
and employee satisfaction. Personnel
management has a favourable correlation with
employee satisfaction and organisation.
Simultaneously, employee happiness was
revealed to be positively linked to the
organisation. These two independent variables
contributed significantly to the prediction of the
commitment of the organization. The
detrimental impact on productivity and
profitability of companies' absenteeism is
widely known. To minimize absenteeism, the
fundamental causes of absenteeism must be
understood and sensitive subgroups identified.
Most research papers custom testing and
regression hypotheses to discover
characteristics associated with absenteeism.
Alina Bianca Pop et al [21] consider the linear
regression using the least squares method,
which allows calculating the surface roughness
at any point in the established experimental
field. These models are generally confined to
the search for basic correlations. Renee de
Reuver et al [22] study tests a model that
positions workload as a moderator of the
relationship between perceived skill-,
motivation- and opportunity-enhancing High-
Performance Work Systems (HPWS) and
employee absenteeism. Using data from 194
employees, the results revealed that under high
workloads, perceived opportunity-enhancing
HPWS practices reduce absenteeism. This
procedure can help managers of human
resources understand the underlying causes for
absence, which can in turn drive efforts to
reduce absenteeism. In combination with the
ordinary CART model, this suggested
technique uses an objective-based data
acquisition metric. Omar Aburumman et al [23]
investigated the influence of employee turnover
intention and the mediating function of career
satisfaction on human resource management
(HRM) practices (pay, performance
assessments, promotion, and training &
development). To find the results and analyze
the assumptions, the study utilized PLS-SEM.
Other practices such as staff empowerment,
teamwork, and providing information on job
security and job descriptions may also be
included in future trials.
Hypothesis 4: There is a positive correlation
between HRM and dependent variables
(Organizational Commitment, Job
Performance, Absenteeism, Employee
Turnover, and Employee Productivity).
Hypothesis 5: There is a positive correlation
between employee behavioural outcomes and
dependent variables (Organizational
Commitment, Job Performance, Absenteeism,
Employee Turnover, and Employee
Productivity).
2.3 Workplace Bullying Outcomes
The confirmation of the mediating influence of
job engagement on connections between
bullying at a workplace and HRM on TI in
Nigeria universities was provided by Paul Dang
Gadi (2020). Further substantial and practical
consequences for administrators would be
achieved by the findings of all staff in
universities and other service sectors. Luigi
Stirpe et al [24] study examines employee
evaluations of HR practices (HRPs), which are
a critical and yet underexplored antecedent of
their effectiveness. Drawing on the Job
Demands–Resources model, it proposes a
moderated mediation model that studies the
relationship between employee satisfaction
with HRPs and in-role and extra-role
performance as mediated by engagement.
These findings provide novel insights into the
HR causal chain and help practitioners to better
manage HRP design, communication, and
audits. Muhammad Imran Khan et al [25] study
is to find the impact of workplace bullying on
the turnover intentions of the staff which are a
major problem in hospitals and have
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enormously destructive consequences and
rumination increases this phenomenon both
ways. This model presents the effect of
workplace bullying results on turnover
intentions as mediated by employees’
rumination. The study represents a clear picture
of workplace bullying and its impacts on staff.
Hospital management must take serious action
in such a hostile environment and whatever the
circumstances, they must provide a safe and
healthy environment for their staff as their basic
requirement to work more positively and
voluntarily. Maura Sheehan et al [26] examine
the link between bullying at work and health
outcomes in the workplace. Employees'
perceived effective implementation of intended
anti-bully practices is partially mediated by
employees' perceived effective implementation
of intended anti-bully practices, according to
the multi-level analysis (which used responses
from 1507 employees within 47 hospitals with
matched HR Director Interviews). This study
by Xiaohui L et al [27] looked at the link
between workplace bullying, perceived
organizational support, and turnover intention
using 305 samples from a manufacturing firm.
The findings reveal that workplace bullying is
a strong predictor of employee turnover, and
that perceived organizational support is
adversely correlated with the desire to quit the
company. Bullying in the workplace is a
serious issue that has a negative impact on
employees' well-being and productivity.
Previous research has linked workplace
bullying to absenteeism, which is a key
contributor to lost productivity in the
workplace. However, there is presently no
complete knowledge of how various workplace
bullying experiences are connected to
absenteeism. The goal of Christopher Magee et
al [28] was to shed fresh light on the link
between workplace bullying and absence.
Using a person-centred approach, researchers
found five unique subtypes of workplace
bullying experiences in a 12-month prospective
study of 500 Australian employees. These
bullying categories were linked to absence
through health issues and a lack of job
engagement. The findings can be utilized to
influence HR practices for preventing and
managing bullying in the workplace. The
correlational research by Alireza Jalali et al
[29] employed a quantitative approach of data
collecting (N = 102) from Malaysian
employees using SmartPLS to evaluate the
data. According to the findings of the current
study, workplace bullying has a beneficial
influence on job insecurity and emotional
tiredness, as well as a good indirect effect on
emotional exhaustion through job uncertainty.
Hypothesis 6: There is a positive correlation
between Workplace bullying outcomes and
dependent variables (Organizational
Commitment, Job Performance, Absenteeism,
Employee Turnover, and Employee
Productivity).
Hypothesis 7: There are combined effects of
HRM and employee behavioural and
workplace bullying outcomes on dependent
variables (Organizational Commitment, Job
Performance, Absenteeism, Employee
Turnover, and Employee Productivity).
3. Methodology
In the current study, the quantitative research
technique is used as the research strategy since
it is the best way to assess the influence of
HRM practices on organizational growth as
well as identify the factors and their
relationships with the well-being of the
employee. The descriptive research technique
is used in the study architecture because it
provides an equal chance for respondents to
participate in the analysis. There are two sorts
of variables utilized in this study: dependent
variables and independent variables. The
dependent variables are Organizational
Commitment, Job Performance, Absenteeism,
Employee Turnover, and Employee
Productivity. The independent variables are
human resource management practices,
employee behavioural outcomes and workplace
bullying. The research population is focused on
Saudi Arabia's manufacturing sector, which
was undertaken by 66% of men and 34% of
women from the chosen manufacturing
industry. To ensure randomness between
selected samples, a simple random sampling
approach was used. It is considered a fair
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way to select a sample from a
larger population since every member of
the population has an equal chance of getting
selected. A self-administered questionnaire was
the method used to gather information for the
investigation.
Figure 1: Research Hypothesis Model
Figure 1 illustrates the research hypothesis
model. This study seeks to demonstrate the
relationship between human resource
management practices and employee behaviour
outcomes in the managing sector. The
hypotheses of the model were tested via
Structural Equation Modelling (SEM), which
in management studies was considered an
acceptable process. The instrument on HRM
Practices comprised 30 items, which contained
questions on training, teamwork, performance
appraisal, job definition, compensation, and
employee participation. Further for employees
positive and negative behavioural outcomes
comprised Organizational Commitment, Job
Performance, Absenteeism, Employee
Turnover, Employee Productivity, and
workplace bullying. The instrument was
validated through pilot testing. Subjects were
asked to indicate their level of agreement or
disagreement with each statement on a 5-point
Likert scale.
3.1 Research Design and Sample
The Saudi Arabian management sectors
gathered the research sample in 2021.
However, unaware of any research into the
relationship between HRM practices and
employee behavioural outcomes in the Arabian
Gulf countries, including Saudi Arabia. This
study examines the link between HRM
practices and employee positive and negative
behaviour outcomes towards organizational
change in Saudi Arabia managing sectors of
power generation, telecommunications, natural
gas exploration, and petrochemical sectors
(Anar Al Judhei 2018, Benjamin Aguenza
2016, Harhara 2015, and Idris 2017) to address
the organizational performance and wellbeing
of the employee. This study has used a
quantitative research approach. Changes in the
workplace generally have both positive and
negative outcomes. Fear, Anxiety, Stress,
Anger. Excitement and Relief are all these
emotions that can be experienced when change
is on the horizon. On the positive side, changes
can bring about more efficient ways of
working, an opportunity for employees to
shine, a break from the norm and increased
revenue. However, the negative aspects of
change can include reduced morale, increased
absenteeism and/or presentism, and even
breakdowns in working relationships.
Employee engagement goes hand-in-hand with
an employee’s attitude towards their job, their
team, their managers, and their work in general.
When organizational changes negatively affect
an employee’s attitude and mindset, their
productivity can quickly decrease and they will
contribute less to that project.
In the first instance, HR managers
responsible for implementing change must
understand what the change is going to be, why
it is to be made, how the changes will be
executed, how employees will be affected and
when the changes need to be in place. These are
the main questions that employees will ask their
manager, so these factors must be fully
understood before they are relayed to the wider
workforce, to avoid the impression that
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management does not know what is happening
themselves. As noted above, there are a limited
number of studies available on organizational
change in the Arab region (Al Blori 2005)
though, as a whole, the body of literature that
has emerged does highlight the importance of
this subject for the future economic
development of the region. (Dr. Abdullatef
Saber 2022) impacted saving behaviour among
SMEs in Saudi Arabia with a focus on attitude
toward saving, financial self-efficacy, social
influence, and financial literacy. Furthermore,
the findings show that social influence and
financial literacy have no significant effect on
employee saving behaviour
(https://www.coursehero.com/file/68744970/o
rganizational-changedocx/). No one finds the
positive and negative behavioural outcomes of
the employee in Saudi Arabia. Consequently,
the study analyses the impact of HR practices
and employee positive and negative behaviour
outcomes towards organizational change in
Saudi Arabia. In the selected organization's
employees in collaboration with the HR
manager to ensure that the sample was
representative of the whole workforce.
Employees were informed about the purpose of
the study and its confidentiality and encouraged
to participate in the survey. While the online
responses were stored on a secure server, the
paper questionnaires were returned directly to
the researchers to ensure confidentiality. The
following phase focuses on areas such as
employee behavioural outcomes such as proxy
utilizing an organizational commitment, job
performance, absenteeism, employee turnover,
employee productivity, and workplace
bullying. Table 1 represents the analysis of
research instrument.
Table 1: Analysis of Research Instrument
Variables
Sources
Indicators
Organizational
commitment
[30], Purwanto 2021, Eko
Nur [31]
Affective commitment
company progress
normative commitment
Job performance
Jeong 2019, Albloush 2020,
Reza Nurul Ichsan et al.,
2021
knowledge
experience
skills
abilities
awareness
motives and needs
Absenteeism
Dyrbye 2019, Reuver 2021,
Patcha Bhujanga Rao 2022
Minor Illness
Commuting Issues
less productive
lack of subject interest
Employee
turnover
Yasin 2021, Noela Michael
et al., 2022
Lack of Growth and Progression
career path and training
Lack of recognition
Lack of flexibility.
Poor relationship with the
Manager
Employee
productivity
Anwar 2021, Kim 2022,
Md. Hazrat et al., 2022
Work Environment
Employee Wellness.
Technology And Production
Factors
Pay Structure
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Workplace
Bullying
[32], [33], [34]
high demands
pressure of work
unclarity of duties
job insecurity
job stress
Employee
Behaviour
[35], Maamari 2022
Leadership
Work Culture
Effective Communication.
Relationship at Work
3.2 Organizational Commitment
Organizational commitment is the employee’s
feelings of obligation to stay with the
organization: feelings resulting from the
internalization of normative pressures exerted
on an individual before entry or the following
entry. Therefore, those with a strong normative
commitment remain with the organization
because they feel ought to do so. (Eko Nur
Pratama et al., 2022) examine and analyse the
effect of job satisfaction and organizational
commitment on the turnover intention with
person-organization fit as a moderating
variable on employees of PT Febri Dharma
Mandiri [36]. This analysis was work as the
moderating role and it only indicates the
company’s success-related goals. Considering
the change impacts on employees the
questionnaire analysis with a seven-point
response scale was employed ranging from 1
strongly disagree and 5 strongly agree is
studied. Scores on the items of each subscale
were average to yield a summary score
reflecting that subscale.
3.3 Job Performance
The survey findings also show how workplace
changes may affect employees' attitudes and
experiences on the job. Workers who reported
being affected by organizational change
currently or within the past year reported lower
levels of job satisfaction compared with
employees who reported no recent, current or
anticipated changes (71% vs. 81%). Reza Nurul
Ichsan et al., 2021 find out whether Leadership
Style and Organizational Influence Employee
Performance within The Work Environment as
Intervening Variables (Leadership Style,
Organizational Change, Employee
Performance and Work Environment) [37].
Employee Performance (Y) affects the Work
Environment (Z) and the same employee
performance determines the company's success
if the organizational change impacts employee
performance this leads to severe problems.
Accordingly, the article took the job
performance variables as the main impact
factor for organizational change to study the
Saudi Arabian sector's HR practices
relationships.
3.4 Absenteeism
Unscheduled absenteeism is a costly and
disruptive phenomenon that remains
problematic for organizations. Managers must
understand more fully the antecedents and
consequences of this complex behaviour.
Recently, Rahrig Jenkins, Kristi et al., 2022
study was to examine the association between
sources of stress and self-reported illness- or
injury-related absenteeism (SRIRA) across
three wage categories among participants in an
employee health and well-being program [38].
Later, (Patcha Bhujanga Rao 2022) entitled on
worker's absenteeism is expected to decide the
worker's condition, compensation, amenities
provided, participation, inspiration strategies
and advancements [39]. In accordance with the
organizational change, the aspects of the
concept of "attendance pressure" were more
frequent among employees with former and
present sickness absenteeism than among other
employees. The current article, introduce the
reasons for employees’ pressure absence from
work by using the data in the literature and
questionnaires from HR experts.
3.5 Employee Turnover
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Many companies look to salaries and benefits
as the first places to cut back when looking to
make changes that involve cost-saving. When
this happens, some employees will inevitably
leave the company to seek employment
elsewhere. The employees that remain, whether
they stay voluntarily or because they could not
find employment elsewhere, are often resentful.
Motivation decreases, taking job performance
along with it. Employees lose their company
loyalty and may even become angry enough to
purposefully sabotage the company. Noela
Michael 2022 examines the reasons for
turnover and strategies adopted within the hotel
sector to reduce this turnover [40]. Strategies to
reduce turnover include promoting a good work
environment, providing transfer opportunities,
talent and development planning, and
implementing exit strategies to find out
employees’ reasons for leaving. The study not
considered to examine turnover from the
perspective of employees. Recently, many
works focused on the organizational structural
changes, in human resources, from various
studies that have been carried out, changes in
organizational environmental conditions affect
work conflict which can reduce the level of job
satisfaction which in turn can lead to the
intention to move for the employee (turnover
intention) which in turn can lead to actual
turnover. Although there is currently no
accepted framework for understanding the
turnover process as a whole, a wide range of
factors have been found useful when it comes
to interpreting employee turnover, and these
have been employed to model turnover in a
range of different organisational and
occupational settings with HR practices is
considered in this study.
3.6 Employee Productivity
Human Resource Management has gained
research attention from both academics and
practitioners of the area during the last decades.
This area has been studied from different
perspectives from time to time by different
scholars. Firms are competing with each other
using their resources and tools. However, a
significant number of researchers studied the
dimensions of human resource management
practices and they explored the relationship
between HRM Practices and different types of
employee and organizational outcomes
(Nwachukwu, 2018; Pangil, 2018). Recently,
Md. Hazrat et al., 2022 explored the impact of
HR practices on employee productivity [41].
Though several factors contribute to
productivity, job performance is perceived to
be the most significant one. Considering this
the article studies why employee productivity
leads to less due to the organizational change in
Saudi Arabia's sectoral study.
3.7 Workplace Bullying
Most models of occupational stress posit that
job demands (or a negative cognitive appraisal
of an event or situation) negatively impact
employee well-being and/or positively affect
employee stress. Although organizational
change has often been cited as an important
cause of workplace bullying, only a few studies
have investigated this relationship. First,
organizational change may directly encourage
bullying. Second, organizational change may
indirectly affect workplace bullying through
various stressors, such as increased workload,
job insecurity and more autocratic leadership
styles. Although international studies have
examined workplace bullying extensively,
scholars in the Arab region have not given this
phenomenon much attention. (Najda Hayajneh,
2021) investigate the mediating role of job
stress in the relationship between
organizational change and job satisfaction. This
study's relationship analysis by mean and
standard deviation ranking factors. This
research considers the Likert scale performance
of strongly disagree and 5 strongly agree to
analyse the study with HR practices.
3.8 Sample Study
The stratified sampling method across the
workers was used to select this sample of 325
employees. To seek participation in the study,
the managing sector contacts list for HR
officials or senior managers was employed, and
53 workplaces originally consented to
participate. In each institution, a survey
facilitator was chosen, usually in the HR
department, and given instructions on how to
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distribute the questionnaires. Each workplace
received a packet containing a questionnaire for
the on-site HRM manager, a questionnaire for
the senior general manager on-site, and a set of
surveys to be given to a random sample of
employees. A total of 40 workplaces provided
partial responses, representing a 35% response
rate. The respondents were a cross-section of
Saudi Arabia's major employers in the
managing sector. A questionnaire was designed
to accumulate records from the respondents and
to degree their perceptions of the real HRM
practices, and the overall performance degree
of managing sectors. In total, 325 responses
were collected in these workplaces and 25
questionnaires are incomplete. Hence, only 300
samples are considered. The questionnaire is
divided into 4 sections. The first phase
protected the socio-demographic variables such
as age, gender, academic qualification, and
overall experience. The second phase protected
the respondent’s perception of HRM practices
on the 5-object scale. A total of 300
questionnaires were distributed based on the
sample size. The records were examined using
the Statistical Package for Social Sciences
(SPSS) model. The analysis included Pearson
Product-Moment Correlation, regression, and
T-test analyses at a 5% level of significance.
3.9 Measures: HRM Practices
In terms of HRM practices, this study considers
six HRM practices namely career advancement
( four items, e.g. I have clear career paths in this
sector), employee participation (four items, e.g.
Employees in this sector are allowed to make
many decisions), job security ( four items, e.g.
I can stay in the sector for as long as I wish),
performance feedback (four items, e.g. My
manager gives me feedback on my
performance), rewards and recognition (seven
items, e.g. Employees in this sector receive a
pay raise for improving the level of
performance), training and development (four
items, e.g. Extensive training and development
programs are offered by the sector to improve
my job skills) with a total of 26 items adapted
from different prior studies. Participants are
requested to give their responses on a five-point
Likert scale varying from 1=strongly disagree
to 5=strongly agree. Absenteeism was
measured as the proportion of working days
employees were absent in 1 year. Employees
Turnover Intention: The measurement of
Kuvaas (2008) was used to measure employee
turnover intention in five items, which were
carried out in a Norwegian setting. These items
have been used in many previous studies with a
consistently top reliability outcome of 0.74. All
variables were measured by using a 5-point
Likert scale.
4. Results
The goal of this study turned to assess the
interrelationships among HRM practices
including Organizational Commitment, Job
Performance, Absenteeism, Employee
Turnover, and Employee Productivity in the
context of Saudi Arabia. The power of the
relationships among variables will decide
whether or not the hypotheses are accepted or
null, therefore, rejected.
4.1 Demographic Details
The overall quantity of respondents who
participated in this survey became 300, which
is depicted in table 2. However, the best forty
questionnaires have been observed crammed
back the questionnaires. The statistics pattern
represents the manufacturing sectors in Saudi
Arabia. The respondents covered 34% male and
66%, male. The respondent's ages covered
22.67% between the age variety of 20-25 years,
20.33% between the age of 28-35 years, and
18.67% over the age of 41-45 years. The
respondents covered 17.67% between the age
of 45-50 and 17.33% have been >60. In phrases
of qualification, there have been 33.33% of
postgraduates, 37.67% have been diploma
holders and 32.33% of respondents had both a
Diploma/Certificate and a lower qualification.
Table 2: Demographic Profiles
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Characteristics
No. of
respondents
Percentage
Female
102
34%
Male
198
66%
20-25
68
22.67%
28-35
61
20.33%
41-45
56
18.67%
45-50
53
17.67%
>60
52
17.33%
Graduate
113
37.67%
Post Graduate
100
33.33%
others
97
32.33%
1-3 years
54
18%
4-6 years
57
19%
6-10years
53
17.67%
10-15 years
69
23%
> 15 years
62
20.67%
4.1.1 Questionnaire Examination
In order to locate the finest employee for the
manufacturing sector in Saudi Arabia, the
HRM with worker behavioural results needs to
be verified. Thus the HRM practices, the
companies offer three hundred questions for the
employees, HR and the on-site managers. This
questionnaire consists of each of the
dependents and independent factors like
Organizational Commitment, Job Performance,
Absenteeism, Employee Turnover, and
Employee Productivity, and the independent
variables of employee behavioural final results
and human resource control practices. Initially,
the pilot study was handled with 30 participants
to define the internal consistency of the
questionnaire.
4.2 Pilot study
It is a pretesting of a particular research
instrument such as a questionnaire or interview
schedule. Cronbach’s alpha
(or coefficient
alpha) (Ahmed et al., 2019) test to see if
multiple-question Likert scale surveys are
reliable or internal consistency which is shown
in Table 3.
Table 3: Consistency level According to Cronbach’s alpha
Cronbach’s alpha
Internal Consistency
9.0
Excellent
9.08.0
Good
8.07.0
Acceptable
7.06.0
Questionable
6.05.0
Poor
5.0
Unacceptable
The present research addresses most aspects
of the implementations and practices of pilot
studies in the managing sector since such
implementations and practices consider the
human resource management practices to find
the employee behavioural outcomes. Table 4
states that the questionnaire cases with overall
sort of report according to valid, Excluded, and
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Total. Among 20, the valid result reaches 100
percent. Further, it excluded range with
Listwise deletion and it was based on all
variables in the procedure, which is less than
zero.
Table 4: Case Summary for Questionnaire
N
%
Cases
Valid
20
100.0
Excludeda
0
.0
Total
20
100.0
a. Listwise deletion based on all variables in the procedure.
Table 5 signifies the reliability status for
Cronbach’s alpha. This took the first four items
for the evaluation of Cronbach’s alpha, from
which the reliability statistics is 0.793.
According to Byrne, 2009, the Average
Variance Extracted (AVE) value is more than
0.50 which also substantiated the convergent
validities. The predicted value is greater than
0.7 thus it portrays that the internal consistency
of these statements is acceptable.
Table 5: Internal Consistency Statistics for Five Items
Cronbach's Alpha
Cronbach's Alpha
Based on Standardized
Items
N of Items
.793
.792
4
Questionnaire Result for Organizational
Commitment:
The organizational commitment questionnaire
measures dedication in its normative
dimension, based on reciprocity and
responsibility. It is a 6-object questionnaire,
with a five-point Likert scale, the ratings on
every object ranged from 1 to 5, and the
composite rating may want to variety from 0 to
45. 300 employees are used to reply to the
questionnaire that is based on organizational
commitment. As visible in figure 2, an
excessive level of agreement is located for
statements ‘Employees are taken into
consideration as an asset of the organization’
with (N=42) and additionally, the query of
‘work commitments closer to the activity will
increase the productivity’ this indicates
(N=41).
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Figure 2: Organizational Commitment Likert scale Performance
Questionnaire Result for Job Performance
This phase consists of the job overall
performance of the employee with the
associated questionnaire. These are furnished
for the skilled worker inside the enterprise of
HRM practices. As located in figure 3, an
excessive agreement become located for ‘Work
environment should be well maintained’ with
(N=45). This suggests that the employees are
noticeably interrelated with their working
nature. Further, the respondents indicate
(N=42) that Accomplishing tasks can be a
source of satisfaction. Also, the best applicable
one which is agreed through the employees
‘Teamwork is the main factor which improves
the performance of workers’ there are 42
respondents who strongly consider this
statement.
83
75
87
76
136
72
85
88
80
69
141
84
74
72
76
62
19
64
58
65
57
51
4
45
0
0
0
42
0
35
020 40 60 80 100 120 140 160
Motivation is important to enhance
organizational performance
Career advancement opportunities will increase
the level of commitment towards organization
Workers commitment towards job will increase
the productivity
Innovative ideas are encouraged in the
organization
Employees are considered as asset of the
organization
Incentives to the employee to recognize his/her
good work and dedication
Organizational Commitment
Strongly Disagree Disagree Neither Agree nor Disagree Agree Strongly agree
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Figure 3: Job Performance Likert scale Performance
Questionnaire Result for Absenteeism
This section turned into validating a
questionnaire to perceive employees liable to
be absent from work and disability conditions.
These questions are given to 45 respondents
every one affords 6 questions. As visible in
Figure 4, the respondents with the excessive
settlement are ‘Workers who are under extreme
stress due to work or personal reasons get sick
more often’ there are 43 respondents strongly
agreed. In this question, nobody disagrees with
the statement. Additionally, the respondents
with the excessive agreement are ‘Personal
Hardships also lead to absenteeism’.
78
70
83
158
83
96
84
77
74
142
89
81
50
60
66
0
76
72
46
50
51
0
52
51
42
44
26
0
0
0
020 40 60 80 100 120 140 160 180
Workers are encouraged to reach the goal
Work life of employees are balanced in the
organization
Accomplishing tasks can be a source of
satisfaction
Work environment should be well maintained
Workers are on time to their work which
increases productivity
Team work is the main factor which improves
the performance of workers
Job Performance
Strongly Disagree Disagree Neither Agree nor Disagree Agree Strongly agree
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Figure 4: Absenteeism Likert scale Performance
Questionnaire Result for Employee
Turnover
In this section, the reputation of dependent
variables of employee turnover and its
effectiveness as a part of the HRM practices
within the side of the respondents' organization
is assessed. As located in figure 5, in 3
statements the employees have been spoken
back with excessive agreement ‘Lack of
training, support, or resources necessary to jobs
well’ indicates (N=41), ‘Employee turnover
will affect the productivity of the organization
this attains’ (N=40). Further, the respondents
agreed with N=40 for employees' perception of
jobs will increase worker turnover. This
indicated that the respondents have been aware
of the significance of productiveness for an
enterprise and also, recognize the additives that
result in imparting excessive turnover.
85
95
72
86
92
82
72
84
80
75
120
76
52
75
63
67
70
70
58
46
54
42
10
47
33
0
31
30
8
25
020 40 60 80 100 120 140
Bullying or harassment activities in organization
leads to absenteeism
Workers who are not committed to their jobs tend
to find excuses
Treating employees with respect and giving them
freedom to make decisions is the backbone of a
healthy work environment
Regular feedback will decrease the absenteeism in
the organization
Workers who are under extreme stress due to
work or personal reasons get sick more often
Personal hardships also leads to absenteeism
Absenteeism
Strongly Disagree Disagree Neither Agree nor Disagree Agree Strongly agree
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Figure 5: Employee Turnover Likert scale Performance
Questionnaire Result for Employee
Productivity
Further, the dependent variable used for
locating the effectiveness of HRM practices
become Employee Productivity. In which there
are 45 respondents had been requested a
sequence of questions. For every respondent,
the segment consists of 6 questions to reply to
primarily based totally on the Likert 5-factor
scale. In this segment, most people agreed with
the subsequent query which is proven in Figure
6. The questionnaire is ‘Train the people with
good enough take a look at device’, ‘Equip or
educate the personnel with new generation
machines for excessive manufacturing and
Employee engagement is the most important
device to enhance productiveness in the
organization. Similarly, sixteen respondents
disagree with the assertion of Temperature in
the place of business will affect employee
productiveness. This suggests that the working
location is the reason for employee
productivity.
81
75
0
0
75
138
73
84
122
156
88
124
65
70
119
139
72
38
44
46
59
5
65
0
37
25
0
0
0
0
0 20 40 60 80 100 120 140 160 180
Employee perception towards the jobs
increases employee turnover
Training program and effective work
scheduling will reduce the employee turnover
Employee turnover will affect the productivity
of the organization
Employee turnover reduces the talented
workforce from the organization
Lack of career advancement opportunity leads
to employee turnover
Lack of training, support, or resources
necessary to do jobs well
Employee Turnover
Strongly Disagree Disagree Neither Agree nor Disagree Agree Strongly agree
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Figure 6: Employee Productivity Likert scale Performance
Questionnaire Result for Human
Management Practices
Human Management practices are one of the
independent variables which encompass 6
questions for every respondent. As visible in
figure 7, furthermore, respondents agreed with
all of the statements with an excessive degree
of percent. No one disagrees with the
statements, the agreed declaration with the
excessive degree of percent is as follows, 'Self-
managed and effective teams should be
organized' indicates 43%, 'HR should focus on
both the needs of the organization and the ones
of its employees' with 42%, 'Making
information easily accessible to those who
need' it indicates that the respondents are of
43%, and 'Fair and performance-based
compensation should be provided' is of 36%.
95
83
83
87
96
134
84
89
85
80
81
166
75
76
74
71
72
0
46
52
58
62
51
0
0
0
0
0
0
0
0 20 40 60 80 100 120 140 160 180
Temperature at the workplace will affects the
employee productivity
Proper flow of communication between worker
and management will increase productivity
Employee engagement is the biggest tool to
improve productivity in the organization
Work place environment is negative or tense,
engagement and productivity levels decrease…
Equip or train the employees with new
technology machines for high production
Train the workers with adequate tech tools
Employee Productivity
Strongly Disagree Disagree Neither Agree nor Disagree Agree Strongly agree
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Figure 7: Human Management Practices Likert scale Performance
Questionnaire Result for Employee
Behavioural Outcomes
The popularity and efficacy of independent
variables of the overall implications of
employee behaviour as part of the HRM
practices are evaluated in this section. In Figure
8, three statements conveyed the employees'
over-compliance ‘Work engagement will
provide better employee behavioural outcome
(N=39) suggest further, ‘Manage self-task
effectively’ (N=42). In addition, the
participants committed to ‘Consistency
towards the job’ with N=40.
Figure 8: Employee Behavioural Outcomes Likert scale Performance
163
157
80
172
83
138
137
143
84
128
85
162
0
0
72
0
74
0
0
0
64
0
58
0
0
0
0
0
0
0
020 40 60 80 100 120 140 160 180 200
Hiring the right person for the right job
Self-managed and effective teams should be
organized
Fair and performance-based compensation
should be provided
HR should focus on both the needs of the
organization and the ones of its employees.
Creating a flat and egalitarian organization
Making information easily accessible to those
who need it
Human Management Resouces
Strongly Disagree Disagree Neither Agree nor Disagree Agree Strongly agree
85
154
96
82
146
81
69
0
72
64
0
51
0
0
0
0 20 40 60 80 100 120 140 160 180
Consistency towards the job
Manage self-task effectively
Work engagement will provide better
employee behavioural outcome
Employee Behavioural Outcomes
Strongly Disagree Disagree
Neither Agree nor Disagree Agree
Strongly agree
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Questionnaire Result for Workplace
Bullying Outcomes
While empirical research on targets' responses
to workplace bullying is sparse, it shows the
preponderance of emotion-focused, passive,
and avoidant techniques, all of which are
usually regarded as maladaptive and harmful.
The questionnaire was used to investigate the
participants' experiences of bullying, with
N=56 workers agreeing with the statement
"Being the subject of excessive mocking and
sarcasm." The majority of employees in the
sectors agreed with the statement "over
surveillance of your job." It was acknowledged
by 76 employees as "having your ideas and
beliefs ignored." According to the poll, the
majority of employees have encountered
workplace bullying, which must be monitored
by HR managers in order to safeguard
employees from stress and anxiety and promote
organizational growth.
Figure 9: Workplace Bullying Outcomes Likert scale Performance
Furthermore, the discovery that bullying
causes job insecurity might imply that bullying
is being utilized to force people out of their
jobs. This is in accord with claims that bullying
may be regarded in part as goal-directed
behaviour aimed at improving one's positive
outcomes.
The research discovered via the survey study
that particular antecedent beliefs are connected
to the fundamental dimensions of employee
behaviour outcomes. Some participants
described how HR would criticise and mock
them personally in front of the entire team if
they couldn't find anything wrong with their
performance at work, or would spread untrue
rumours and allegations against them to
different coworkers. They described distressing
emotions like despair, worry, and a sense of
disappointment. Their informal support
systems within and outside of their
83
75
87
76
136
72
25
25
85
88
80
69
141
84
56
56
74
72
76
62
19
64
67
73
58
65
57
51
4
45
14
23
0
0
0
42
0
35
12
21
020 40 60 80 100 120 140 160
someone withholding information which
affects your performance
Being humiliated or ridiculed in connection
with your work
Being ordered to work before your level of
competence
Having your opinions and views ignored
Being given tasks with unreasonable or
impossible targets or deadlines
Excessive monitoring of your work
Being shouted at or being the target of
spontaneous anger
Being the subject of excessive teasing and
sarcasm
Workplace Bullying
Strongly Disagree Disagree Neither Agree nor Disagree Agree Strongly agree
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organisations were what gave them hope and
self-assurance. However, the positions
emphasise employee well-being as a crucial
result that drives businesses to achieve their
objectives. Human resource personnel need to
be aware that targets may experience emotional
tiredness as a result of being subjected to
bullying behaviour, and that job security needs
to be restored. As a result of this study, the
participating organisation has implemented
some interventions aimed at enhancing pro-
environmental behaviour among its workforce.
These interventions address the barriers and
facilitators of specific employee behaviour that
were identified by these antecedent beliefs.
Despite the challenging circumstances, all
participants continued to give their best efforts,
understanding the value of performance for
maintaining their employment and advancing
their careers as well as for upholding the
expectations of professionalism and
organisational dedication. These are anticipated
to significantly enhance both employee
wellbeing and the performance of the firm. This
demonstrates the theoretical and practical value
of this kind of research.
4.3 Statistical Analysis
A descriptive analysis, correlation appraisal,
and other regression analyses are used for the
assessment of evidence on structured data and
SPSS data are used. Table 6 offers descriptive
statistical meanings, standard deviations, and
zero-order correlations. An exploration of the
relationship between Human Resource
Management Practices and the consequences of
employee positive and negative behaviour has
been conducted.
Table 6: Descriptive Statistics
N
Minimu
m
Maximu
m
Mean
Std.
Deviation
Skewness
Kurtosis
Statistic
Statistic
Statistic
Statistic
Statistic
Statistic
Std.
Error
Statisti
c
Std.
Error
OC
300
12.00
29.00
20.3933
4.49138
-.260
.141
-1.015
.281
JP
300
15.00
31.00
23.5267
3.21513
-.796
.141
1.247
.281
AM
300
10.00
25.00
18.5633
3.77981
-.715
.141
-.115
.281
ETO
300
12.00
31.00
21.8567
4.20735
-.962
.141
.175
.281
EP
300
9.00
25.00
18.7833
3.82428
-.681
.141
.343
.281
HRM
300
15.00
27.00
19.8833
2.28044
-.075
.141
-.241
.281
WPB
300
6.00
32.00
21.4567
4.67772
-.351
.141
-.291
.281
EBO
300
13.00
34.00
23.9400
5.11308
-.559
.141
-.423
.281
Measuring the distribution and normality are a
type of descriptive statistics. It can be measured
by skewness and kurtosis. The above
Descriptive statistics show that all variables
such as Organizational Commitment at -26%,
Job Performance at -79%, Absenteeism at -
71%, Employee Turnover at -96%, Employee
Productivity at -68%, HRM at -7%, WPB with
-35%, EBO with -55% these are almost large
negative it means the distribution is with high
symmetrical or more platykurtic (Flat). If we go
into detail the value of negative means that the
tail on the left side of the distribution is longer
or fatter than the tail on the right side. The mean
and median are less than the mode. The above
kurtosis value for AM, ETO, EP, HRM, WPB,
and EBO are closer to 0 which means data is
more normally distributed.
From the average means calculated in the
descriptive statistics, the researcher used the
means to compute correlation analysis, full
regression models, and coefficient of
determination to set up the true relationship
between the dependent variable
(Organizational Commitment (OC), Job
Performance (JP), Absenteeism (AM),
Employee Turnover (ETO), and Employee
Productivity (EP)) and the independent
variables (employee behavioural outcome
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(EBO), human resource management (HRM)
and Workplace bullying (WPB)).
4.3.1 Correlation Analysis
This study used Pearson product-moment
correlation evaluation to set up whether or not
there may be an affiliation between the
independent variables and the dependent
variable. The correlation coefficient can vary
from ±1.0 (plus or minus one). In a coefficient
of zero methods, there may be no relationship
between the two objects, and an extrade in the
independent object will now no longer affect
the dependent object. It is depicted in Table 7.
Table 7: Correlation Analysis
OC
JP
AM
ETO
EP
HRM
WPB
EBO
OC
Pearson
Correlation
1
.496**
.694**
.775**
.566**
.544**
.082
.925**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.157
.000
N
300
300
300
300
300
300
300
300
JP
Pearson
Correlation
.496**
1
.391**
.545**
.749**
.436**
.012
.656**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.842
.000
N
300
300
300
300
300
300
300
300
AM
Pearson
Correlation
.694**
.391**
1
.240**
.756**
.703**
-.077
.609**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.183
.000
N
300
300
300
300
300
300
300
300
ETO
Pearson
Correlation
.775**
.545**
.240**
1
.196**
.488**
.133*
.853**
Sig. (2-tailed)
.000
.000
.000
.001
.000
.021
.000
N
300
300
300
300
300
300
300
300
EP
Pearson
Correlation
.566**
.749**
.756**
.196**
1
.369**
-.036
.590**
Sig. (2-tailed)
.000
.000
.000
.001
.000
.531
.000
N
300
300
300
300
300
300
300
300
HR
M
Pearson
Correlation
.544**
.436**
.703**
.488**
.369**
1
-.063
.534**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.279
.000
N
300
300
300
300
300
300
300
300
WPB
Pearson
Correlation
.082
.012
-.077
.133*
-.036
-.063
1
.088
Sig. (2-tailed)
.157
.842
.183
.021
.531
.279
.127
N
300
300
300
300
300
300
300
300
EBO
Pearson
Correlation
.925**
.656**
.609**
.853**
.590**
.534**
.088
1
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
.127
N
300
300
300
300
300
300
300
300
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
4.4 Inferential Analysis
The data analysis outcome which consists of
the Classical Assumption Test, Regression
Analysis and Hypothesis Testing result will be
discussed in this section.
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4.4.1 Regression Analysis
SPSS Statistics will generate quite a few tables
of output for linear regression. This section,
demonstrates the three main tables required to
understand the results from the multiple
regression procedure, assuming that no
assumptions have been violated. To develop the
relationship between the output of the
manufacturing sector and the five variables, the
researcher performed a multivariate regression
analysis. In this test, the proportion of the
overall variance percentage in the dependent
variable as explained by the independent
variable is calculated.
Table 8: Model Summaryb
Model
R
R Square
Adjusted R
Square
Std. Error of
the Estimate
Durbin-
Watson
1
.927a
.859
.857
1.69763
2.825
a. Predictors: (Constant), EBO, WPB, HRM
b. Dependent Variable: OC
Table 8 provides the R and R2 values.
The R-value represents the simple correlation
and is 0.927 (the "R" Column), which indicates
a high degree of correlation. The R2 value (the
"R Square" column) indicates how much of the
total variation in the dependent variable, OC,
can be explained by the independent
variable, EBO, WPB, and HRM. In this case,
85% can be explained, which is very large. The
Adjusted R Square value is 0.858 this indicates
that 85% of improvements in the dependent
variable could describe the five independent
variables and the remaining 20% of the
dependent variable does not have the other
variables in the sample. The Durbin Watson
d=2.825, which is between two critical values
of 1.5<d<2.5. Therefore, assume that there is no
first-order linear autocorrelation in the multiple
regression data.
Table 9: ANOVAa
Model
Sum of
Squares
df
Mean Square
F
Sig.
1
Regression
5178.531
3
1726.177
598.962
.000b
Residual
853.056
296
2.882
Total
6031.587
299
a. Dependent Variable: OC
b. Predictors: (Constant), EBO, WPB, HRM
The F-ratio in the ANOVA table 9 tests that
the overall regression model is a good fit for the
data. The table shows that the independent
variables statistically significantly predict the
dependent variable, i.e., the regression model is
a good fit for the data. It evaluates the null
hypothesis that the entire regression model has
a population R of zero. Meanwhile, p < 0.05,
rejects this null hypothesis from the data.
Table 10: Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t
Sig.
Collinearity
Statistics
B
Std.
Error
Beta
Toleran
ce
VIF
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1
(Constant)
-1.204
1.001
-1.202
.230
HRM
.141
.051
.072
2.742
.006
.702
1.424
WPB
.008
.021
.008
.375
.708
.975
1.025
EBO
.778
.023
.886
33.891
.000
.700
1.429
a. Dependent Variable: OC
Table 10 provides the coefficient table with
unstandardized coefficients, which designate
how much the dependent variable varies with
an independent variable when all other
independent variables are held constant. This
tests whether the unstandardized (or
standardized) coefficients are equal to 0 (zero)
in the population. The t-value and
corresponding p-value are located in the "t" and
"Sig." columns, respectively. Here, p >.05, this
concludes that the WPB coefficients are not
statistically significantly. Further, checking for
multicollinearity in the multiple regression
model with tolerance, the obtained value was
0.702, 0.975 and 0.70, generally, the tolerance
value was <0.1 it was satisfied with this
condition.
4.4.2 Classical Assumption Test
In order to accomplish a certain objective to use
multiple regression models, a classical
assumption test must be interpreted. The
Classical Assumption Test analyses include a
test of normality.
Normality Test
The Normality Test is used to test independent
variables and dependent variables based on the
subsequent regression queries. The outcome
should suggest whether or not the data was
usually transmitted. The study starts with the
observation of the Histogram and P-Plot
presented below.
(a)
(b)
Figure 10: Histogram and Probability-Plot graph of OC
Figure 10(a) displays the histogram of the
OC-Organizational Commitment dependent
variable test graph. The effects of the output
suggest a bell-figure in the histogram line. The
normality test P-Plot graph for the dependent
variable OC is seen in Figure 10(b).
Consequently, the data on the regression model
may be inferred that complies with the
assumption of normality.
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(c)
(d)
Figure 11: Histogram and Probability-Plot graph of JP
Figure 11(c) displays the histogram of the
JP-Job Performance of dependent variable
normality test diagram. The effects of the
output suggest a bell-figure in the histogram
line. 11(d) demonstrates the JP dependent
variable P-Plot graph of the normality test.
Resultantly, the data on the regression model
may be inferred that complies with the
assumption of normality.
(e)
(f)
Figure 12: Histogram and Probability-Plot graph of AM
The histogram of the test diagrams for the
dependent AM-Absenteeism factor is
illustrated in Figure 12(e). The effects of the
analysis imply a bell-shaped histogram line. 12
(f) reveals the normality test P-Plot graph for
the AM variable dependent. And hence, the
data on the regression model may be inferred
that complies with the supposition of normal.
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(g)
(h)
Figure 13: Histogram and Probability-Plot graph of ETO
Figure 13(g) shows the ETO-Employee
Turnover histogram in normality experiments.
The findings reveal that the histogram line
produces a bell. 13(h) conveys the normality
measure P-Plot graph of the dependent ETO
component. Therefore, the details regarding the
regression model can be concluded to satisfy
the presumption of normality.
(i)
(j)
Figure 14: Histogram and Probability-Plot graph of EP
Figure 14(i) represents the histogram for the
EP-employee productivity dependent variable
test graph. The effect of the output shows that
it produces a bell-like histogram line. 14 (j) the
normality test of the dependent EP variable is
shown in P-Plot. It can then be assumed that the
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knowledge about the regression model follows
the standard.
4.4.3 Hypothesis Testing Result
The T-Test is used to assess the substantial
effects between each dependent and
independent variable. In order to detect the
effects, the coefficient table precisely decides
whether the independent variables are
significant, partially important, or not the
coefficient table. Table 11 depicts the one-
sample t-test statistics for the hypothesis test
result.
Table 11: One-Sample Statistics
N
Mean
Std. Deviation
Std. Error Mean
OC
300
20.3933
4.49138
.25931
JP
300
23.5267
3.21513
.18563
AM
300
18.5633
3.77981
.21823
ETO
300
21.8567
4.20735
.24291
EP
300
18.7833
3.82428
.22080
HRM
300
19.8833
2.28044
.13166
WPB
300
21.4567
4.67772
.27007
EBO
300
23.9400
5.11308
.29520
The T-test is normally done when the
standard deviation is unknown. The result of
the T-test applied to the motivator with the test
value of 47 in group form, is illustrated in table
12.
Table 12: Statistics Confidence Analysis
Test Value = 47
t
df
Sig. (2-tailed)
Mean
Difference
95% Confidence Interval of
the Difference
Lower
Upper
OC
-102.606
299
.000
-26.60667
-27.1170
-26.0964
JP
-126.455
299
.000
-23.47333
-23.8386
-23.1080
AM
-130.308
299
.000
-28.43667
-28.8661
-28.0072
ETO
-103.508
299
.000
-25.14333
-25.6214
-24.6653
EP
-127.796
299
.000
-28.21667
-28.6512
-27.7822
HRM
-205.958
299
.000
-27.11667
-27.3758
-26.8576
WPB
-94.581
299
.000
-25.54333
-26.0748
-25.0119
EBO
-78.116
299
.000
-23.06000
-23.6409
-22.4791
SPSS calculates the t-statistic and its p-value
under the assumption that the sample comes
from an approximately normal distribution. In
this p-value associated with the t-test is small
i.e) p<0.05, there is evidence that the mean is
different from the hypothesized value. In
summary, the results support the research
hypotheses: the greater the perceived use of
HRM practices, the higher level of employees’
affective organizational commitment,
employee productivity and workplace bullying,
but the lower level of their turnover intention.
4.4.4 Hypothesis Correlation Analysis
In these analyses, the interaction with other
variables (organizational commitment, job
efficiency, absenteeism, employee turnover,
and productivity) is illuminated only (employee
behavioural outcomes, HRM practices). The
positive correlation between HRM and the
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behavioural outcomes of employees is found in
Hypothesis 1.
Table 13: Correlation between HRM and EBO
HRM
EBO
HRM
Pearson Correlation
1
.534**
Sig. (2-tailed)
.000
The sum of Squares and Cross-
products
1554.917
1862.900
Covariance
5.200
6.230
N
300
300
EBO
Pearson Correlation
.534**
1
Sig. (2-tailed)
.000
The sum of Squares and Cross-
products
1862.900
7816.920
Covariance
6.230
26.144
N
300
300
Table 13 summarizes that the Pearson
correlation r=1 is used in human resources
management and the employee behavioural
outcomes can have r=0.534. Furthermore, these
variables have a significant amount at a 5%
(<0.05) significance level. The two
independent HRM and EBO variables are
significant and thus both positively correlated.
The findings illustrate that there is a positive
correlation between the variables.
Table 14: Correlation between HRM and WPB
HRM
WPB
HRM
Pearson Correlation
1
-.063
Sig. (2-tailed)
.279
N
300
300
WPB
Pearson Correlation
-.063
1
Sig. (2-tailed)
.279
N
300
300
In Table 14 the value of Pearson r i.e., the
correlation coefficient which in this case is -
0.063. Thus it has the perfect negative
correlative between the variables. Further,
interested in the 2-tailed significance value
which in this case is < .000. The standard alpha
value is .279, which means that our correlation
is not significant. This indicates that hypothesis
H2 has a negative correlation and was not
significant within the variables. According to
Hypothesis H3, HRM, WPB, and EBO
contribute to organizational development.
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Table 15: Correlation between HRM, EBO and WPB
HRM
EBO
WPB
HRM
Pearson Correlation
1
.534**
-.063
Sig. (2-tailed)
.000
.279
N
300
300
300
EBO
Pearson Correlation
.534**
1
.088
Sig. (2-tailed)
.000
.127
N
300
300
300
WPB
Pearson Correlation
-.063
.088
1
Sig. (2-tailed)
.279
.127
N
300
300
300
In this result table 15 specifies that HRM
practices take to contribute to employee
behaviour outcomes with the correlation
coefficient r=0.534, p<0.05. However, the
workplace bullying outcomes are not
contributing to the organizations which in this
case r=-0.063, p>0.05 was highly not
significant and has a negative correlation
between the variables. From this hypothesis,
H3 resulted that it has a positive correlation
with employee behaviour outcomes and a
negative correlation with workplace bullying
outcomes in the organization's development.
Table 16: Correlation between HRM, and Dependent Variables
HRM
Dependent
Variables
Correlation
Coefficient
OC
.544**
JP
.436**
AM
.703**
ETO
.488**
EP
.369**
Hypothesis H4 defines that there is a
positive correlation between HRM and
dependent variables (Organizational
Commitment, Job Performance, Absenteeism,
Employee Turnover, and Employee
Productivity). From the analysis, it was
depicted (table 16) that all the dependent
variables have a positive correlation with
Human Resource Management. The correlation
with organization commitment can have
(r=0.544, p<0.05), and with job performance
(JP) the correlation coefficient is of (r= 0.436,
p<0.05), absenteeism can have (r=0.694,
p<0.05) which indicates that p-value is 0 and it
was highly significant. Furthermore, for
employee turnover, the coefficient was
(r=0.488, p<0.05) and for employee
performance with HRM, the variables can have
(r=0.369, p<0.05). Therefore, the hypothesis
that states that Human resource management
has a positive correlation and is statistically
related to Organizational Commitment, Job
Performance, Absenteeism, Employee
Turnover, and Employee Productivity is
accepted in this sample.
Table 17: Correlation between EBO, and Dependent Variables
Dependent
Variables
Correlation
Coefficient
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EBO
OC
.925**
JP
.656**
AM
.609**
ETO
.853**
EP
.590**
In Hypothesis H5 there is positive
correlation exists between employee
behavioural outcomes and dependent variables
(Organizational Commitment, Job
Performance, Absenteeism, Employee
Turnover, and Employee Productivity). From
Table 17, it was observed that the HRM value
was bound to OC and that it had a positive value
of r=0.925, p<0.05. Even for JP, the correlation
value is 0.656, which has a positive
relationship. The correlation coefficient of AM,
ETO, and EP also indicate a positive
relationship with the values of (r=0.609,
p<0.05), (r=0.853, p<0.05), (r=0.590, p<0.05).
H2 has now been acknowledged by concluding
that it interacts positively with all dependent
variables, which transmits that it is very
significant.
Table 18: Correlation between WPB, and Dependent Variables
WPB
Dependent
Variables
Correlation
Coefficient
OC
.082
JP
.012
AM
-.077
ETO
.133*
EP
-.036
The results revealed that hypothesis H6 of
workplace bullying outcome does not have a
positive correlation between all the dependent
variables. The correlation coefficient for
organizational commitments the value of
(r=0.082, p>0.05) this signifies that it was not
significant with the variables. In addition, for
job performance the value of r=0.12, p>0.05
over again was not significant meanwhile the
value of p was greater than one. While a
negative relationship between AM and WPB (r
= - 0.077, p>0.05) was noted in table 18. ETO
can have (r=0.133, p<0.05), which illustrates
that it has a positive correlation and was
significant at the level of 5%. Concurrently, the
employee performance can have (r=-0.036,
p>.01) which implies that has a negative
relationship between the variables. Only
employee turnover was proved to be the
strongest relationship with workplace bullying
outcomes. From hypothesis H7, the results
exposed that there are no combined effects of
performance between HRM, employee
behavioural outcomes and workplace bullying
outcomes. HRM department only focused on
the relationship with employee behavioural
outcomes, there is no other consideration of the
workplace bullying outcomes.
Discussions
The goalmouth of this study was to realize if
there was a relationship between HRM and
employee behaviour outcomes of positive and
negative workplace bullying in Saudi Arabia, a
Gulf country. HRM methods are positively
connected to subjective and quantitative
measures of employee behaviour outcomes, as
well as workplace bullying. The results showed
that HRM methods were positively connected
to both employee behaviour and workplace
bullying outcomes, according to hypotheses 1
and 2. (Chidiebere Ogbonnaya, 2019) backs up
the premise that consistent HRM policies might
have attitudinal implications when employees
see them subjectively. This distinguishes
between the favourable associations between
HRM practises and employee performance and
the opposing outcomes approach, which relates
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HRM practices to increased job stress and
demands. (Sven Hauff 2022) deepen the
understanding of the relationships between
high-performance work practices (HPWPs) and
employee well-being. The results support the
mediating roles of job satisfaction and work
engagement. Interestingly, the remaining direct
relationships between HPWPs and sleep quality
are negative, which supports a counteracting
effects model. Interrelationships between
organisational context variables, work factors,
individual employee psychological and
motivational factors, employee outcomes,
organisational outcomes, and competitive
advantage (Simon L. Albrecht, 2015). The
authors provide organisations with clear
guidance on how to use HR procedures (such as
selection, socialisation, performance
management, and training) to enable and
improve employee engagement and generate
positive outcomes that will help organisations
gain a competitive advantage. Apart from that,
the research focused on the consequences of
employee behaviour and HRM practices to
establish a solid link between the variables.
However, in contrast to the hypothesis, we
found that the interaction effects between
employee positive and negative behaviour
outcomes were always regarding the effects on
job satisfaction and wellbeing and that the
indirect conditional effects of HR practices on
health were always lower workplace bullying
was higher. The analyses showed significant
positive results (largely confirming our
Hypotheses 1 and 2), as regards the relationship
between HRM and employee behaviour
outcomes.
Resembling many of the previous studies of
this nature, subjective organizational
performance was measured from the same
source as that of HRM practices. Common
method variance is therefore a potential
alternate explanation for the results. This
suggests some caution while interpreting the
results. However, the similar positive
relationship for high-involvement HRM
practices found using a quantitative measure of
firm performance for a subset of firms suggests
that the relationship is substantive and not an
artefact of the method. According to hypothesis
H3: HRM, employee behavioural, and
workplace bullying outcomes contribute to the
organization. The core theme of “protecting my
interests” captures participants’ attempts to
deal with the experience of bullying, relying on
their personal and social resources as well as on
organizational options to ensure that their
emotional wellbeing, task-related performance
and long-term career goals were not adversely
and excessively hampered by victimization.
Though it involves avoiding problematic
situations, exit provides targets with hope for
the future and a sense of control over their lives.
In hypothesis H4- HRM and employee
behaviour outcomes are combined in terms of
dependent variables (Organizational
Commitment, Job Performance, Absenteeism,
Employee Turnover, and Employee
Productivity). Thus it is inferred from
hypothesis H4 that all the dependent variables
are positively correlated. The results of the
research based on the data obtained show that
organizational commitment has a positive and
insignificant effect on performance through job
satisfaction. This means that organizational
commitment variables and their indicators
provide positive reinforcement for being
happy, feeling, thinking, emotionally attached,
worried, having a sense of belonging, few
choices, alternatives, sacrifices, loyal,
obligations, loyal, working, one organization,
wise, and making a very significant
contribution, strong or significant to job
satisfaction. But not yet in improving employee
performance. In this previous study,
organizational commitment, directly and
indirectly, had a positive and significant effect
and a negative and insignificant effect on
employee performance through job
satisfaction. Meanwhile, this study, shows that
organizational commitment has a positive and
insignificant effect on employee performance
through job satisfaction so it becomes the
update of this research between previous
studies. The findings of this study provide some
evidence that employees’ perceptions relating
to the application of HRM may offer a positive
contribution to providing an effective approach
to these problems. The findings have indicated
that all of the HRM practices under scrutiny
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were positively related to employee
commitment and reducing turnover.
Finally, the company contributes to
Hypothesis H5 - the outcomes for employee
behaviour with organizational commitment, job
performance, absenteeism, employee turnover,
and employee productivity. (Lincoln Jisuvei
Sungu 2019) address why the relationship
between affective organizational commitment
and job performance varies. Accordingly,
found the effect of transformational leadership
on the relationship between affective
organizational commitment and job
performance for employees with high
occupational commitment was contrary to its
effect on employees with low occupational
commitment. In this study, the crucial value of
df = 9 for the distribution table is 2.262 for
some dependent and independent variables of
5% significance. The value measured is higher
than the critical. The zero theory is dismissed
and it adds greatly to the organization.
Therefore, it revealed from the full hypothesis
that HRM and EBO are related positively to the
dependent variables. According to Wasti
(2005) and Sinclair et al (2005), the most
desired commitment profile in terms of
behaviour is the dedicated profile, which has
high AC and CC. Our findings imply that
combining development and stability-oriented
HRM policies is the best method to maximise
the chance of this personnel profile.
This means that organisations that focus on
leadership, innovation, inter-functional
coordination, communication and knowledge
sharing, strategic management, resource
leveraging and management, organisational
learning, market focus, total quality
management, and information and
communication technology are more likely to
perform better. Based on the social exchange
hypothesis (Blau, 1964; Gouldner, 1960), it
was believed that HRM techniques' perceived
availability and use would have a favourable
impact on work engagement and employability.
The next objective of Hypothesis H6- A
positive correlation exists between employees'
behavioural outcomes (Organizational
Commitment, Job Performance, Absenteeism,
Employee Turnover, and Employee
Productivity). H6 is acknowledged by
concluding that it interacts positively with all
dependent variables, which transmits that it is
very significant. In Bard Kuvaas' research, a
strong and direct negative relationship was
discovered between the perception of
developmental HR practises and turnover
intention, however, this correlation was
tempered by perceived procedural and
interactional justice. There was no evidence
that the EOR indicators played a mediation role
in the link between employee outcomes and
perceptions of developmental HR practises.
In Hypothesis 7- The HRM-dependent
variables have a positive relationship
(Organizational Commitment, Job
Performance, Absenteeism, Employee
Turnover, and Employee Productivity).
Productivity is a performance measure
encompassing both efficiency and
effectiveness. This notes that the management
of human resources is related positively to all
dependent variables. Job satisfaction,
according to Miller and Monge (1986), boosts
productivity by providing high-quality
motivation and enhancing working capabilities
at the time of implementation. (Ian R. Gellatly,
2009) explored how employee perceptions of
human resource management (HRM) practices
influenced the likelihood of employees joining
the affective and continuous commitment
profiles. Abubakar Tabiu revealed that HRM
practices have a favourable impact on
employee work performance, and the findings
revealed that while all HRM practices are
related, not all of them correlate strongly with
employee job performance. In contrast, all
HRM practices are connected with the
variables in the research. In consequence, the
research findings showed that the impact of
human resource practices can alter the negative
effect on the organisation owing to excessive
turnover of the employee.
Moreover, this study extends the conceptual
research and HRM development studies in the
organizational behaviour domain by
investigating the role of WB and OS in the
relationship between EBO and employee
engagement. Human resource professionals
must be aware that employees who are bullied
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may experience emotional tiredness, and
targeted' job security must be restored. They
must, for example, confirm that no unwelcome
and unlawful relocation or change of job task
has occurred. Furthermore, encouraging
employees to attend religious services regularly
is important since religious involvement has
been shown to improve mental health, in part
by reducing the likelihood of exposure to
stressful life events such as job uncertainty.
According to this work contributes work
bullying factor is the variable for absenteeism
which indicates that it was insignificant and
does not have a positive correlation between the
variables however, the p-value is greater the
0.05. This finding corroborates the findings of
Berkery et al (2020) study. There were three
hypotheses formulated for this study and the
result of hypothesis one was supported by the
findings of Greenhaus et al (2003) and
Grunfeld et al. (2004) which revealed the
influence of work-family conflict on
employees’ absenteeism. Christopher Magee
offers fresh perspectives on the link between
workplace bullying and absenteeism. In a large
sample of Italian workers, Campanini
investigates the link between workplace
bullying and sickness absenteeism. The
relationship between the employee's good and
bad behaviour is investigated in this research
project. Workplace bullying is a major problem
that affects the well-being and productivity of
employees. Previous research has linked
workplace bullying to absenteeism, which is a
key contributor to lost productivity in the
workplace during organizational change.
Practical Implications
In the Saudi Arabian management industry, the
study's findings have shown relationships
between and among HRM, employee job
satisfaction, and organisational commitment.
These findings have practical implications.
Having high levels of job satisfaction among
employees will prevent low levels of turnover
rate, absenteeism and levels of productivity and
increase organizational commitment. This
research also has suggestions for effective
organizational management. The implications
for the staff, based on the findings of this study,
including emphasizing the value of selecting
proactive workers and measures to reduce
proactive employee turnover. For today's
commercial organizations, techniques to
analyze candidates' proactivity may be
beneficial and important. To the best
knowledge of the researcher, this is one of the
very few empirical works that has been
conducted in developing countries,
particularly, in managing sector employees in
Saudi Arabia to investigate the relationships
among HRM practices, employee behaviour
positive outcomes and negative outcomes. As a
result, firms should allow employees to work
under autonomous working conditions that
allow them to realize the benefits of their
proactivity, reducing turnover among proactive
personnel. This study can recommend that to
ensure high levels of job satisfaction and well-
being among employees and enhanced
organizational commitment, employee
productivity especially in managing sectors
should emphasize HRM practices.
Limitations and Future Scope
While there are many theoretical and practical
advancements made by this work, there are
some shortcomings that will need to be
resolved in the future. The causality of our
conclusions cannot be guaranteed because the
research used cross-sectional data to assess our
research model. Although it is unlikely that
proactive personality and job autonomy are
directly impacted by the intention to leave,
longitudinal data should be employed to
support the research design and enhance the
significance of the study's findings.
Additionally, the questionnaire that was
gathered was insufficient to investigate how the
organisational change affected behavioural
results. For instance, they must confirm that no
unauthorised movement or change like the
activity has taken place. As a result, HRM
should concentrate on actively preventing
workplace bullying, harassment, and
mobbing, as well as fostering a healthy
corporate culture. Employees' intentions to
quit have a negative impact on this
behavioural HR result. This will provide the
higher authorities on how to address the
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problem of workplace bullying effectively. The
main limitation of this work indicates the
empirical evidence suggests that employees’
positive and negative actions relationship nut
that the employees need their working
conditions is not well defined. Therefore, for
future consideration, focus on organizational
incentives, supervisory support, family
support, and a favourable mix of job conditions,
employee situational needs and professional
growth in HRM practice should be relatively
centred in future research.
5. Conclusion
This study intends to examine its effect on
Saudi Arabia's manufacturing sector on HRM
activities and employee performance outcomes.
This has successfully solved the research issue
of this study which is how to enhance
manufacturing sector efficiency by recognizing
the behaviours and attitudes of the employee.
The more informed independent and dependent
variables are also suggested (Organizational
Commitment, Job Performance, Absenteeism,
Employee Turnover, and Employee
Productivity, Human Resource Management
Practices, Employee Behavioural Outcomes).
This will increase employee efficiency for the
companies by engaging workers with input on
a self-managed questionnaire. The simulation
of seven hypotheses fulfilled the correlation
statement and it is correlated positively with the
dependent and independent variables. The
study indicates that HRM practices can only
boost employees' productivity and
performance, but also that well-designed HRM
practices can also increase employees'
commitment and can influence their attitudes
and behaviour. The study showed that HRM
and employee behavioural effects are
statistically relevant and optimistic (r = 544, p
< 0.05). In comparison, a favourable
association between employee behaviour
outcomes and dependent variables was
observed with (r =0.496, .694, .775, .566, .544,
.925; p=0.05) There is a positive correlation
between employee performances with
dependency. The next test outcome of the
hypothesis also means that HRMs and
dependent variables (organizational
engagement, work efficiency, absenteeism,
employee turnover, and staff productivity) are
correlated positively (r
=0.436,0.369,.703,0.488,0.534; p < 0.05). The
analysis found that the combined effects of
HRM and EBO independent variables are
present. In the workplace bullying outcome,
reaches a negative relationship with
absenteeism which seems insignificant.
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Contribution of Individual Authors to the
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final findings and solution.
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Scientific Article or Scientific Article Itself
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Conflict of Interest
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is relevant to the content of this article.
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