Succession Planning
2 min read
Succession planning is the systematic process of identifying and preparing future leaders or successors for key positions within a company.
Succession planning has a long history, with evidence reaching back to the Roman Empire. In recent history, it rose to popularity throughout the middle of the 20th century, when it became widespread among multinational organizations.
Succession planning is crucial in the modern day because it enables firms to identify and cultivate the talent required to achieve long-term objectives and maintain a competitive edge. It promotes a seamless leadership transfer and eliminates the possibility of losing institutional knowledge and skills.
Research in the field of neuroscience demonstrates that cultivating a growth mindset in potential successors can result in improved outcomes, as it enables people to view obstacles and failures as chances for growth and learning. In addition, research indicates that diversity in succession planning might result in improved decision-making and outcomes.
Successful leaders utilize succession planning to build better teams by recognizing and developing top talent, supporting a culture of continuous learning and development, and establishing clear career routes and growth opportunities.
While many businesses acknowledge the need of succession planning, research indicates that less than half have a formal procedure in place, and even fewer actively implement their plans.
In the setting of a disengaged workforce, succession planning is more crucial because it provides a path for people to grow in their careers and have a sense of purpose and fulfillment in their job.
By giving more data and analytics on employee performance and potential, by providing more flexible and individualized development options, and by enabling remote learning and development, technology may help us establish better succession planning. AI and machine learning can also assist in identifying patterns and prospective successors based on performance data and other criteria.