At a recent HR networking event in Taipei, industry leaders shared insights on how to build employer brands that stand out. Key takeaways include reward strategies, growth opportunities, and a positive company culture. Learn how to attract and retain top talent by focusing on what matters to today’s workforce!
Read MoreFrom confirmation bias to groupthink to gender bias, these are common cognitive biases that may impact the effectiveness of talent management in organisations. Recognising your unconscious biases is the first step to mitigating this issue. Find out how in our expert piece for AmChamSG 2022 Manpower Survey Results report.
Read MoreWe still need to talk about wellness. Even as the world learns to cope with Covid-19, the mental health pandemic is not abating. DecodeHR’s wellness tech partners say that wellness solutions need to be bite-sized and culturally nuanced.
Read MoreLetting employees determine where, when and how work is done is being put forth as what the future of work may look like. But context matters. Radical flexibility may not suit everyone. Our HR experts Evelyn Chow and Charlene Yong share their perspectives.
Read MoreGiven the Great Resignation, a leader has to continually engage and motivate their employees so that they can give of the best of themselves at work, and stay on with the organisation. During the Mednefits RECHRGE podcast, our Managing Director Evelyn Chow shared insights on how leaders can do so.
Read MoreWe reflect on how we have grown in 2021 - in the areas of wellness, recruitment, offering of tech HR solutions and leadership coaching - and what our priorities will be as we move into 2022.
Read MoreThere is a growing number of HR organisations using Artificial Intelligence (AI) in recruitment as it helps save time and costs. Yet, people are still resistant to trusting AI. We debunk five myths about AI that may be the reason for the resistance.
Read MoreRapid advances in digital HR have shaken up and transformed the way performance management works. AI today is enabling data-driven performance reviews. Yet how do we balance the role of the human manager with the AI-powered tools? How do we seek the balance between human intuition and machine-driven data insights?
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