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INTERVIEW: Dave Ulrich on How To Win the War for Talent

HR Bartender

The term “war for talent” was first used in 2001 in a Harvard Business Press book by the same name. In our research with 32,000 people in 1,400 businesses (with 22 global regional partners), we found that the competencies required to get to the table are different from the competencies required to deliver real business value.

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6M | Marketing Strategic Leadership Competency Models to Achieve Widespread Organizational Buy-In

Pinsight

How will we ensure understanding and commitment to our competency model from all levels of the organization? Competency models are crucial to an organization’s strategic leadership development, as they act as a blueprint that defines the skills and knowledge necessary to successfully perform critical functions. Where do I start?

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People Analytics and HR-Tech Reading List

Littal Shemer

As it shows, HR Analytics is both an art and a science that can help organizations make informed decisions that benefit all stakeholders, including employees” Agile Workforce Planning: How to Align People with Organizational Strategy for Improved Performance Adam Gibson (2021).

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The evolution of the dataset – why it’s not just about the algorithm

Hireability

Semantic matching, available from a number of firms, is a sophisticated algorithm (or algorithms) for identifying relevant competencies (along with other parameters) to identify the needle in the haystack of data. But it has come a long way since our earliest parsing efforts in 2001. That data can assist in hiring decisions.

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HR, Training and the ‘Gig’ Economy

HRExecutive

a labor market analytics firm, grew to 32 million from just over 20 million between 2001 and 2014, rising to almost 18 percent of all jobs. Many other activities — beginning with human resources and then spreading to customer service and information technology — could be outsourced. Far-flung business units were sold off.

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The evolution of the dataset – why it’s not just about the algorithm

Hireability

Semantic matching, available from a number of firms, is a sophisticated algorithm (or algorithms) for identifying relevant competencies (along with other parameters) to identify the needle in the haystack of data. But it has come a long way since our earliest parsing efforts in 2001. That data can assist in hiring decisions.

article thumbnail

The evolution of the dataset – why it’s not just about the algorithm

Hireability

Semantic matching, available from a number of firms, is a sophisticated algorithm (or algorithms) for identifying relevant competencies (along with other parameters) to identify the needle in the haystack of data. But it has come a long way since our earliest parsing efforts in 2001. That data can assist in hiring decisions.