Benefits of Automated Recruitment for Amazon
Automation of recruitment in a company is an essential process since it involves optimizing processes of attracting and retaining talent. This approach will significantly benefit Amazon for several reasons. First, automation will reduce the time and resources required to find potential employees since algorithms can simplify the process by screening applications and resumes (Choudhury et al., 2022). Second, with this process, it will be feasible to attract the best talent since machine learning algorithms will use vast amounts of data to find the ideal candidate (Choudhury et al., 2022).
Project Implementation Plan
Project Management Model
The plan management model will involve six stages, such as initiation (week 1-2), planning (week 3-4), execution (week 5-8), monitoring and control (week 9-10), testing (week 11-12), and completion (week 13). During the first stage, the goals and objectives of the project will be established. During planning, timelines, budget, and recourse allocation will be involved. The execution stage implies the creation and integration of algorithms. Then, monitoring and control will involve tracking and testing the results to ensure they meet the needs. Finally, completion will set the successful implementation of the automation process.
Critical Risks and Contingencies for the Implementation
However, it must be noted that there can be certain risks. For example, any automation-related project can involve cost risks since expenditures can be higher than anticipated (Sadiku & Musa, 2021). Moreover, there can be data privacy and security risks since the use of machine learning algorithms uses candidate information (Chan et al., 2022).
The Impact of Contingencies on the Project Management Phases
Lastly, it is essential to consider the contingencies for each stage. The team must implement a cost-benefit analysis and assess the risks during initiation. Then, during the planning stage, finding ways to stay within the budget and mitigate risks will be necessary. The execution stage will require the team to test the new system to ensure it is compatible with the existing system. Moreover, during the monitoring, control, and testing stages, the team will have to make adjustments and address integration risks that arise. Finally, during the completion stage, it will be crucial to ensure the successful implementation.
References
Chan, L., Hogaboam, L., & Cao, R. (2022). Applied artificial intelligence in business: Concepts and cases. Springer International Publishing.
Choudhury, A., Biswas, A., Anand, M., & Singh, T. P. (2022). Evolution of digitized societies through advanced technologies. Springer Nature Singapore.
Sadiku, M. N., & Musa, S. M. (2021). A primer on multiple intelligences. Springer International Publishing.