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HR Leadership: A Fresh Perspective on Shaping Organisational Success

EmployeeConnect

Their rationale often revolves around the perceived high cost, resistance to change, and the lack of concrete data to substantiate HR’s utility. Embrace Critical Thinking: Applying De Bono’s ‘black hat’ concept, HR leaders must exercise caution and employ critical judgment to interpret information objectively.

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Applying Design Thinking for Employee-Driven Solutions

Everwise

While the amount of time, risk and financial investment in new products used to be relatively large, businesses can now leverage real-time consumer data to constantly evolve existing products and test out entirely new ones. The business operating environment has transformed over the past decade with the development of technology.

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How to Launch an Effective Employee Engagement Program

6Q

Google recommends , “Treat HR interventions like a medical researcher treats a drug trial: have a treatment group and an equivalent control group, hypotheses, a data collection period, an analysis comparing groups, and quantifiable outcomes.” But traditional training sessions may sometimes become mundane manager-led exercises.

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Conversational Patterns That Support Telling Truth to Power

Conversation Matters

Zeke Wolfberg, the Director of the Knowledge Lab and I, as the knowledge management consultant to the Knowledge Lab, recently published an article about how we addressed that problem at DIA. The article appeared in Reflections, the SOL Journal on Knowledge, Learning and Change (Vol.

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Why You Should Have an Offboarding Checklist (Plus Examples)

6Q

Take a look at the main benefits of having a well-planned offboarding: Effective offboarding processes help to cut ends and remove access to the company’s critical data when an employee moves on. An offboarding process helps managers improve engagement and reduce employee turnover by understanding why they decide to go.

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Talent Trends for 2024: What’s on the HR Radar?

Avature

At Avature, we propose the Total Talent Framework, a conceptual approach that goes beyond automation, data-driven changes, and the accumulation of technology to transform the entire operations and the workforce. AI features will continue to be offered natively at no additional cost in most cases, consistent with industry trends.