AI for HRM: Assessment of Government Organizations Project

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This project proposal investigates the potential of Artificial Intelligence (AI) to enhance Human Resource Management (HRM) within government organizations in Abu Dhabi, United Arab Emirates. The study aims to understand the current state of HRM and AI adoption, explore the role of AI in various HR functions, and recommend strategies for improving AI implementation. The research will employ a descriptive research design, utilizing both qualitative and quantitative data collection methods, including primary data gathered through surveys and secondary data from literature reviews. The anticipated outcome is to provide actionable insights for government organizations to leverage AI for more effective and efficient HRM practices, while addressing potential limitations and ethical considerations.
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Effective Human Resource
Management through Artificial
Intelligence: An Assessment of the
government organizations in Abu
Dhabi, United Arab Emirates.
Student Id:
10/13/2018
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Table of Contents
Introduction................................................................................................................................2
Project title..............................................................................................................................2
Significance of the proposed study.........................................................................................2
Aim and Objectives................................................................................................................2
Research questions.................................................................................................................3
Relevant literature......................................................................................................................3
To understand the Human resources management and Artificial Intelligence: in the context
of government organizations in Abu Dhabi, United Arab Emirates......................................3
To role of Artificial Intelligence in Human resources management: in the context of
government organizations in Abu Dhabi, United Arab Emirates...........................................4
To recommend the strategies for improving Artificial Intelligence in Human resources
management: in the context of government organizations in Abu Dhabi, United Arab
Emirates..................................................................................................................................5
Research Design.........................................................................................................................5
Research type..........................................................................................................................6
Research approach..................................................................................................................6
Research design......................................................................................................................7
Data collection method...........................................................................................................7
Sampling method....................................................................................................................7
Anticipated limitation.................................................................................................................8
Ethical issues..............................................................................................................................8
Implications................................................................................................................................9
Timeline.....................................................................................................................................9
References................................................................................................................................11
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Introduction
Project title
Effective Human Resource Management through Artificial Intelligence: An Assessment of
the government organizations in Abu Dhabi, United Arab Emirates.
Significance of the proposed study
This research is effective for gaining the understanding of the investigator towards human
resources management as well as Artificial Intelligence. This research is supportive for
increasing the existing theatrical knowledge of the researcher in the context of Artificial
Intelligence and human resources management. It would also lead to understanding creation
technologies related to the Artificial Intelligence, which could be practiced by the
organization to eliminate the issues of human resources management and get higher
competitive benefits in limited time and cost (Wu, Chen, and Olson, 2014). This research
facilitated to gain the awareness of research with respect to the several research tools like
research philosophies, research design, research type, research methods, research approach,
data collection, sampling anticipated limitation, and ethical consideration. It also aids to gain
the understanding of the implication of the research that could be an imperative part of their
research. It would be effective for effectively conducting the research in the upcoming
period.
Aim and Objectives
The main aim of this research is to identify all means for effective Human Resource
Management by means of Artificial Intelligence in the public organization in Abu Dhabi,
United Arab Emirates. The following objectives will be accomplished by the researcher to
meet the aim of the research:
To understand Human resources management and Artificial Intelligence: in the
context of government organizations in Abu Dhabi, United Arab Emirates
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To the role of Artificial Intelligence in Human resources management: in the context
of government organizations in Abu Dhabi, United Arab Emirates
To recommend the strategies for improving Artificial Intelligence in Human resources
management: in the context of government organizations in Abu Dhabi, United Arab
Emirates
Research questions
What do you understand the human resources management and artificial intelligence?
What is the role of Artificial Intelligence in Human resources management?
What strategies could be used by the public organization to improve Artificial
Intelligence in Human resources management?
Relevant literature
To understand Human resources management and Artificial Intelligence: in the context
of government organizations in Abu Dhabi, United Arab Emirates
According to Brewster, Chung, and Sparrow (2016), human resource executives supervise
many activities of the organization like planning, recruiting, selection of suitable method,
training, and development, and make a reliable decision. The key aim of the human resources
manager is to organize employees so that they would be capable to effectively perform their
work acts. It is also analyzed that human resources management could seek employees as a
human asset to increase the productivity of the firm.
Becerra-Fernandez and Sabherwal (2014) argued that maintenance of employees at the
working place in the least time and gain their interest in their allocated work. Traditional
human resources department could manage to complain of employees but in the current era, it
has been changing. Complaint of employees is managed by the complaint and grievance
department that could be imperative for obtaining the higher benefits in limited time and cost.
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In support of this, Stoneking and Curet, and Deloitte Development LLC (2014) stated that
Artificial Intelligence (AI) is determined as the science and engineering to make intelligent
tackles, especially intelligent PC programs. Further, Artificial Intelligence is the method that
makes a computer, a PC-controlled robot, and software that operated as an intelligent same as
human intelligence. The AI is established to first identify how an individual thinks, how their
brain works at the time of solving any issue and afterward using results of the specified study
on behalf of developing the software and system of the intelligent.
To the role of Artificial Intelligence in Human resources management: in the context of
government organizations in Abu Dhabi, United Arab Emirates
Nankervis et al. (2016) stated that human resources managers have faith in implying the AI
into the function of human resources. The manager could be imperative to get benefits to
improve the overall skills as well as the experience of human experience. Further, it is also
analyzed that AI supports the human resources management to the personalized experience of
employees in limited time and cost. It can lead to systematically woven into the onboarding
programs of workforces.
In the favored of this, Fan et al. (2014) explained that AI aids the human resource
management of government organization to make a reliable decision in the context of the
situation. It also supports to record the data to day activity of the employees and make
appropriate decision to increase the productivity of the firm. Apart from that, the human
resource managers perform many activities named vacation requests, determined employees
activities, and team training, hiring processes. It could lead to getting higher competitive
benefits.
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To recommend the strategies for improving Artificial Intelligence in Human resources
management: in the context of government organizations in Abu Dhabi, United Arab
Emirates
Strohmeier and Piazza, (2015) recommended that AI might be concentrate on focus on the
multiplier in the business procedure if automation as it could be associated with certain
factors like HR ticketing by shared service activity and the expansion of dashboards to
specified business. It would facilitate human resources managers to spend more time with
their specified business partners and workforces. Moreover, it is also evaluated that time and
physical presence could be the biggest issue for human resources as it is solved by implying
AI in the working place.
Lee et al. (2014) suggested that AI should also concentrate on increasing the efficiency of
scale with respect to the candidate's volume and record of timely correspondence. AI should
also set their tools to decline the biases from the working place as could be possible by
considering the algorithm assessment platform. It could be imperative to eliminate the biases
from biased candidates. In addition, it is also evaluated that the primary purpose of algorithm
assessment platform is that it could lead the human resources management team to discover a
way by which they could be capable to decline the human bias.
Research Design
The research design is imperative for choosing a suitable method to collect information about
the research matter and systematically meet the aim and objectives of the research matter.
There are certain tools, strategies, and methods as it would be imperative getting a feasible
outcome. Furthermore, there are certain techniques of the research that could be used by the
researcher to obtain information about the research issue like research philosophy, research
methodology, research approach, research design, research methods, and data collection
method, sampling, and anticipated limitation (Fortino, et al., 2014, May). These research
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tools are discussed as below:
Research philosophy
The research philosophy enables research scholar to implement their thoughts, views, and
perception into the research study (Girard and Girard, 2015). In this research, interpretivism
philosophy will be practiced by the researcher to meet their aim and objectives of the
research. The interpretivism philosophy facilitates investigator to obtain theoretical
information about the research issue. This research is subjective in nature hence this
philosophy will be used by the researcher. The positivist philosophy is suitable for the real
situation.
Research type
In the research, two kinds of research are considered by the researcher like explanatory,
descriptive, and explanatory research design. In this research, the researcher will use
descriptive research design method as compared to the other method as it allows them to get
the depth information about the research matter. It also permits the researcher to find the
relationship between human resources management and artificial intelligence. Thus, it is also
analyzed that this research is more effective than exploratory and explanatory research
method (Karatop, Kubat, and Uygun, 2015).
Research approach
In the dissertation, two kinds of methods are involved like inductive and deductive approach.
The inductive approach is an effective technique for getting the conceptual data about the
research issue. Through this tool, the investigator will obtain the non-numerical data about
the relationship between human resources management and artificial intelligence in a
systematic way. The deductive approach will not be considered by the researcher as it permits
scholar to make research hypothesis and prove and reject them as per the collected data. The
deductive approach will not use by the investigator due to the inappropriateness with the
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research nature. Hence, the researcher will practice the inductive approach to accomplish the
aim and objectives in the least resources (De Vasconcelos, Gouveia, and Kimble, C., 2016,
July).
Research design
The research design is imperative for collecting the information in the context of the research
issues. Qualitative and quantitate research design is considered in the research design. These
methods facilitate to get non-numerical as well as factual information about the current
research dilemma. In this research study, the researcher will consider both methods of
research design for getting benefits of both tools like qualitative and quantitative research
method Al-(Atabi and DeBoer, 2014). Moreover, qualitative research design will aid the
researcher to gain the conceptual data as it could be associated with research matter. Apart
from this, a quantitative research tool is used for evaluating the factual information about the
research issue. Herein, the researcher will concentrate on the accomplishment of the current
research matter.
Data collection method
The data collection tool facilitates to select the suitable sources of data collection and meet
research aim and objectives. In addition, it is examined that primary and secondary data
collection tool is employed in the research. In this study, both primary, as well as secondary
data collection tool, is used to obtain information about the research issues (Yigitcanlar,
2015). Through the primary data, the researcher will obtain fresh information in the context
of the research issue. There are creation sources as it could be considered by the researcher
like observation and survey through questionnaire method. Apart from this, secondary data
collection tool is used to obtain conceptual information about research issues like a journal,
articles, books, and online and offline sources. It would be imperative for the accomplishment
of the research objectives.
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Sampling method
Sampling tools are used to select the suitable sample size form the specified population. In
the research, there are two kinds of methods that are considered like probability sampling and
non-probability sampling tool. For this study, probability sampling tool will be employed by
the researcher to obtain the information with respect to the relationship between human
resources management and artificial intelligence. Further, it is also analyzed that the
probability sapling tool aids the researcher to consider the simple random sampling method
and select the research candidates for conducting the research and obtain their opinion with
respect to the current research issue (Kaplan, 2015). Apart from this, the non-probability
sampling technique enables to select the participants on behalf of creation factors like age,
gender, experience, education, and region. It could create possibilities of biases in the
research as it would directly impact on the obtained result. For eliminating the biases form
the research, the researcher will only select the probability sampling tool as compared to the
non-probability sampling method. Moreover, the researcher will select the 50 employees of
the different region of Australia from the IT organization to comprehend the relationship
human resources management and artificial intelligence (Cambria and White, 2014).
Anticipated limitation
The research limitation could eliminate the probabilities of getting a quality outcome. There
are different factors that could impact on the quality of research outcome like time, resources,
and cost. Hence, the researcher will consider such factors to effectively accomplish the
research aim and objectives. The data collection method will be time-consuming but at the
same time, the researcher has the mandate to meet their aim and objectives in a specified
time. Consequently, it would decline the quality of research result. At the same time, it is also
evaluated that the lack of resources could also eliminate the chance to get the reliable result
(Wong, et al., 2015).
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Ethical issues
Ethics could enable the researcher as well as research participants to conduct the research
inappropriate way. The researcher will apply the ethical norms at the time of conducting the
research as it permits to conduct appropriate behavior. It would eliminate possibilities of the
development of ethical norms in the study. For eliminating the ethical issues, the researcher
will also conduct creation activities like plagiarism, suitable citation, follow university
guidelines, and securing confidential information of the research candidates. It would support
to obtain a reliable outcome in the least time and cost (Ziuziański, Furmankiewicz, and
Sołtysik-Piorunkiewicz, 2014).
Assumed Outcomes
The artificial intelligence could be imperative for improving the existing performance of the
human resources at the working place. It enables the organization to examine the
performance of their employees and leads them accordingly. This study emphasizes on
identifying the relationship between the human resources management department and
This research will offer the understanding of the factors that will restraint to the cloud
computing application in the working place. Moreover, this tool could facilitate to understand
different strategies as it could be related to artificial intelligence. It could be imperative to
systematically conduct the research in the upcoming period (Azadeh and Zarrin, 2016).
Implications
In this study, there are many risks as it could directly influence the obtained research of
research. Therefore, the research scholar will concentrate on methods that would lead to
avoiding the risks. Moreover, the research scholar could use more than 50 research
candidates to collect the depth data with respect to the research matter. It could also imply
different sources of data collection to get the reliable result (Burns, et al., 2014).
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Timeline
The research timeline is an imperative tool to examine the time period of each research
activity completion. The following table demonstrates the activities that will be accomplished
in the upcoming period:
Research Activities Estimated time
1 2 3 4 5 6 7 8 9 10 11 12 1
3
14 15
Development of the research
issue
Development of the research
aim and objectives, and research
hypothesis
Literature review
Selection of the data collection
tool for collecting information
about the research matter
Selection of the data analysis
tool for evaluating the collecting
data and meet at the valid
conclusion
Final draft
Report submission
With respect to the above table, it is also analysed that there are certain activities that are
considered in the research named development of the research, issue, development of the
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research aim and objectives, and research hypothesis, literature review, selection of the data
collection tool for collecting the information about the research matter, selection of the data
analysis tool for evaluating the collecting data and meet at the valid conclusion, final draft,
and report submission. In this, it is found that the primary and secondary data collection takes
more time than the other research activities.
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References
Al-Atabi, M. and DeBoer, J., 2014. Teaching entrepreneurship using massive open online
course (MOOC). Technovation, 34(4), pp.261-264.
Azadeh, A. and Zarrin, M., 2016. An intelligent framework for productivity assessment and
analysis of human resource from resilience engineering, motivational factors, HSE and
ergonomics perspectives. Safety science, 89(1), pp.55-71.
Becerra-Fernandez, I. and Sabherwal, R., 2014. Knowledge management: Systems and
processes. Routledge.
Brewster, C., Chung, C. and Sparrow, P., 2016. Globalizing human resource management.
Routledge.
Burns, H., Luckhardt, C.A., Parlett, J.W. and Redfield, C.L. eds., 2014. Intelligent tutoring
systems: Evolutions in design. Psychology Press.
Cambria, E. and White, B., 2014. Jumping NLP curves: A review of natural language
processing research. IEEE Computational intelligence magazine, 9(2), pp.48-57.
De Vasconcelos, J.B., Gouveia, F.R. and Kimble, C., 2016, July. An organisational memory
information system using ontologies. In Atas da Conferência da Associação Portuguesa de
Sistemas de Informação 3( 3), pp.8-11.
Fan, Y.J., Yin, Y.H., Da Xu, L., Zeng, Y. and Wu, F., 2014. IoT-based smart rehabilitation
system. IEEE transactions on industrial informatics, 10(2), pp.1568-1577.
Fortino, G., Guerrieri, A., Russo, W., and Savaglio, C., 2014, May. Integration of agent-
based and cloud computing for the smart objects-oriented IoT. In Computer Supported
Cooperative Work in Design (CSCWD), Proceedings of the 2014 IEEE 18th International
Conference on (pp. 493-498). IEEE.
Girard, J. and Girard, J., 2015. Defining knowledge management: Toward an applied
compendium. Online Journal of Applied Knowledge Management, 3(1), pp.1-20.
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Kaplan, J., 2015. Humans need not apply A guide to wealth and work in the age of artificial
intelligence. Yale University Press.
Karatop, B., Kubat, C. and Uygun, Ö., 2015. Talent management in manufacturing system
using a fuzzy logic approach. Computers & Industrial Engineering, 86(2), pp.127-136.
Lee, C.K.H., Choy, K.L., Law, K.M.Y. and Ho, G.T.S., 2014. Application of intelligent data
management in resource allocation for the effective operation of manufacturing
systems. Journal of Manufacturing Systems, 33(3), pp.412-422.
Nankervis, A.R., Baird, M., Coffey, J. and Shields, J., 2016. Human resource management:
strategy and practice. Cengage AU.
Stoneking, M.D. and Curet, O.L., Deloitte Development LLC, 2014. Computer-assisted
benchmarking system and method using induction based artificial intelligence. U.S. Patent
8,788,452.
Strohmeier, S. and Piazza, F., 2015. Artificial Intelligence Techniques in Human Resource
Management—A Conceptual Exploration. In Intelligent Techniques in Engineering
Management (pp. 149-172). Springer, Cham.
Wong, K.Y., Tan, L.P., Lee, C.S. and Wong, W.P., 2015. Knowledge management
performance measurement: measures, approaches, trends, and future directions. Information
Development, 31(3), pp.239-257.
Wu, D.D., Chen, S.H. and Olson, D.L., 2014. Business intelligence in risk management:
Some recent progress. Information Sciences, 256(1), pp.1-7.
Yigitcanlar, T., 2015. Smart cities: an effective urban development and management
model?. Australian Planner, 52(1), pp.27-34.
Ziuziański, P., Furmankiewicz, M. and Sołtysik-Piorunkiewicz, A., 2014. E-health artificial
intelligence system implementation: a case study of knowledge management dashboard of
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epidemiological data in Poland. International Journal of Biology and Biomedical
Engineering, 8 (9), pp.164-171.
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