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How to Solve Hiring Problems in Manufacturing with Employee Recognition

Semos Cloud

In this blog post, we’re going to talk about the impact of employee recognition on retention and talent attraction. After the 2008 recession, the trade deficit skyrocketed and the number of blue-collar workers fell from 24.6 million blue-collar employees in the US, according to the most recent data from CEPR. million in 2010.

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How to Create a Successful People Analytics Strategy: A Comprehensive Guide

Engagedly

People Analytics has become essential for organizations to make data-driven decisions about their workforce. It uses employee data to identify patterns and make informed decisions that enhance business outcomes. Source People Analytics is the collection, analysis, and interpretation of data related to employees.

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Is the HR Accountable for Mass Layoffs?

Keka HR Blog

“Too often, they’re done for short-term gain, but the cost savings are overshadowed by bad publicity, loss of knowledge, weakened engagement, higher voluntary turnover, and lower innovation, which hurt profits in the long run,” write Sandra J. What next? Show me the data to prove the need. Airbnb reduced 30% of its recruiting staff.

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Four Common Tech Ageism Myths Debunked With Data

Visier

Between 2008 and 2015, it was the subject of 226 official complaints filed against Silicon Valley’s biggest tech companies. But is it happening on a widespread, systemic level? . Here are four common ageism myths we debunked with the data: Myth #1: Older tech workers are less valued. We call this the “Tech Sage Age.”.

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Is the HR Accountable for the Mass Layoffs?

Keka HR Blog

“Too often, they’re done for short-term gain, but the cost savings are overshadowed by bad publicity, loss of knowledge, weakened engagement, higher voluntary turnover, and lower innovation, which hurt profits in the long run,” write Sandra J. What next? Show me the data to prove the need. Airbnb reduced 30% of its recruiting staff.

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Four Common Tech Ageism Myths Debunked With Data

Visier

Between 2008 and 2015, it was the subject of 226 official complaints filed against Silicon Valley’s biggest tech companies. But is it happening on a widespread, systemic level? . Here are four common ageism myths we debunked with the data: Myth #1: Older tech workers are less valued. We call this the “Tech Sage Age.”.

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Four Common Tech Ageism Myths Debunked With Data

Visier

Between 2008 and 2015, it was the subject of 226 official complaints filed against Silicon Valley’s biggest tech companies. But is it happening on a widespread, systemic level? . Here are four common ageism myths we debunked with the data: Myth #1: Older tech workers are less valued. We call this the “Tech Sage Age.”.