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WORKFORCE DEVELOPMENT


WORKFORCE FORECAST


The Army is partnering with George Mason University to research how machine learning can predict future workforce trends and requirements.


by Rebecca Wright S


taffing shortages have become a frequent talking point since the COVID- 19 pandemic triggered “Te Great Resignation,” an economic trend wherein employees resigned from their jobs in large numbers. Although staffing shortages are nothing new, these recent changes in the economy are not only highlight-


ing the importance of having sufficient staff on hand now, but also being prepared to have sufficient qualified staff on hand in the future—whether it is six months from now or in five years.


Perhaps you have walked into a busy restaurant or grocery store lately and noticed the business was understaffed. Or it was obvious that the employees were struggling to keep up with their workload. In these situations, insufficient staffing not only affects a company’s customers but also the current staff. If staff members are overwhelmed, the strain can lead to employee burnout and resignation.


If an organization waits until it becomes short-staffed before looking to hire, it can create adverse effects by creating disruptions in workflow, unmanageable workloads, missed deadlines, negative impacts on customer service and low employee morale. Tere- fore, the ability to predict having sufficient manpower is essential in being prepared to support mission requirements.


COME UP WITH A PLAN Workforce forecasting is a “process of estimating future demand and supply of human resources in an organization,” according to LinkedIn. “It helps managers plan ahead for staffing needs, optimize resource allocation and align workforce strategies with business goals.” From small businesses to large corporations and even government agen- cies, predicting future staffing requirements is a necessity. Predicting and preparing


https://asc.ar my.mil


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