Research Idea: Human Resource Management in organizations
Research Focus: The impact of Big Data Analytics on Human Resource related Board Room Decisions
Research Objective: To identify, evaluate and summarize the findings of all relevant individual studies (primary studies) that provides evidence in support of decision-making about what may be known and unknown about the impact of Big Data Analytics on Human Resource related Board Room Decisions.
This will be of interest to: Board Members, Executive Management, HR Directors and HR Managers.
Key words: HR = Human Resources; HRM = Human Resource Management; Big Data, Analytics, Decision Making
Human resource management as the name states can be simply described as the management of human resources. In most organisations, this function is structured or designed to maximize and optimise employee performance in direct relationship with the employer's strategic objectives.
Primarily, a typical HR department is concerned with the management of people within an organization with a focus on policies and on systems plus activities such as employee benefits design, employee recruitment, human capacity development, performance appraisal, organizational change and industrial relations.
However, though the responsibilities surrounding HRM can be significantly daunting, the application of analytic processes to the human resource department of an organization can significantly help in improving employee performance thereby, ensuring a better return on investment.
HR analytics does not just deal with gathering data on employee efficiency. Instead, it aims to provide insight into each process by gathering data and then using it to make relevant decisions about how to improve those processes.
This review, aims to research current applications of data analytics techniques in enhancing decision making in the board room with possible research questions like;
• What are the widely known and unknown HR programs?
• Do they work?
• Should companies continue to invest in them?
• How strong is the impact?
The project/piece of work takes the form of an exploratory systematic review of the literature of the research topic, THE VALUE OF BIG DATA ANALYTICS TO 21st CENTURY HUMAN RESOURCE MANAGEMENT using on-line databases and other appropriate resources.
It will have 5,000 words equivalence. This systematic review aims to identify, evaluate and summarize the findings of all relevant individual studies (primary studies) that provides evidence in support of decision-making about what may be known and not known about this particular area of research.
This is not a traditional literature review. It requires:
• An abstract
• A statement of the background to the topic, objectives of the review – the questions being asked of the literature, and selection criteria for primary studies;
• Evidence of a well thought through and structured search of on-line databases;
• Well defined criteria for the evaluation of the primary studies identified;
• A presentation of the extracted evidence, usually in matrix form;
• An overall synthesis of the evidence and drawing of conclusions regarding the questions being asked of the literature;
• A discussion of the implications of the findings for your research topic, hypotheses and methods to be used.
To secure this piece, are you able to provide an abstract of not more that 120 words that gives me an assurance you understand what my requirements are and I have an idea of what to expect.
17 freelancers estão ofertando em média £130 nesse trabalho
Hi I am Monica I will write 5000 words for you related to Value of Big Data Analytics to 21st Century Human Resource Management Please message me for more details.
Hi, I can help in completing your research work on The Value of Big Data Analytics to 21st Century Human Resource Management - A Systematic Review. Kindly message me so as to discuss further on the [login to view URL]
Contact me for quality work and reasonable fee, I am expert at this and I am ready to help you in this. I assure you that you will get 100% work in given time and reasonable fee.