Succession Planning: Building a Future Leadership Pipeline with Science-Based Talent

A fragile leadership pipeline is the biggest barrier hindering an organization's sustainable growth. Alarmingly, succession lists in many businesses today exist only on paper, lacking predictive value and completely disconnected from real-world data. Without the ability to quantify personality trends and performance derailing factors (HDS), finding a successor will remain a gamble.
To decode the succession planning challenge using global talent science, SHRM Vietnam, in collaboration with Hogan Assessments and Talent Assessments Vietnam, world-leading organizations in human resource management and talent assessment, is organizing a Webinar titled: Succession Planning: Building a Future Leadership Pipeline with Science-Based Talent.
At this event, our experts will join HR and business leaders to comprehensively review the landscape of succession planning in Vietnam.
Through this, the program will introduce scientifically backed and practically proven solutions to help businesses build a robust, future-ready Leadership Pipeline.
| Topic |
Succession Planning: Building a Future Leadership Pipeline with Science-Based Talent |
| Organizers | |
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Time |
Thursday, May 28, 2026 | 9:30 - 11:00 |
| Format | Live via Zoom |
| Agenda |
PART 1 – THE CONTEXT & REALITY OF SUCCESSION PLANNING IN VIETNAM PART 2 – THE BIGGEST "BOTTLENECKS" IN SUCCESSION PLANNING PART 3 – A SCIENCE-BASED APPROACH: HOGAN ASSESSMENTS PART 4 – REAL-WORLD CASE STUDIES PART 5 – PANEL DISCUSSION Multidimensional perspectives from practice: Success stories, common "failure traps," and key lessons in leadership succession planning. |
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Language |
Vietnamese |
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Ms. Ha Tong - Solution Expert, TAV & PACE |
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Participants |
- Senior leaders and professionals in Human Resources (HR), Talent Development (TD), and Learning & Development (L&D) - Members of the SHRM community in Vietnam - Individuals seeking solutions to enhance leadership capabilities and optimize team development strategies based on science and data |
| Fee |
Free admission (priority for invited guests and early registrants) |