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Managers with highly engaged employees deliver improved business outcomes, including increased retention, higher productivity rates and lower absenteeism.

With many leading HR organizations successfully integrating artificial intelligence (AI) technologies into recruiting processes, AI and machine learning are improving recognition experiences. Yet there are essential differences between the effective use of AI in recruiting and recognition. In recruiting, AI has proven most successful in helping decision-makers source, screen and evaluate large numbers of candidates. For managers, recognition is not a volume process but a personal expression of appreciation.

In today’s competitive job market, companies continually search for innovative ways to attract and retain top talent. In a webinar we conducted in partnership with Recognition Professionals International (RPI), one highly effective strategy is the power of recognition. By recognizing and valuing potential employees before they join the team, organizations significantly enhance their recruitment efforts, improve employee engagement and foster long-term loyalty.

When done right, employee recognition programs can increase job satisfaction and engagement, and positively impact employee retention. However, when organizations build programs without understanding the impact of those programs, the efforts may not pay off. That’s why we’ve asked the questions in our latest eBook – The 2024 Recognition Survey Report. The survey is an extension of our 2024 Job Seeker Survey Report and digs into the recognition experience to reveal employee engagement, performance and retention insights that can enhance your organization’s recognition strategies and programs.

Do you know the differences between Recognition, Reward and Award?

Recognition is an intangible acknowledgment of people’s behaviors, personal efforts or contributions. Reward is something tangible given in return for service or effort, and an Award is a symbol of recognition for an achievement or milestone.