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230102 ||| eng |
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|a HF5549.5.D37
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1 |
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|a Avery, Derek R.
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|a Improve your diversity measurement for better outcomes
|b managers need better data collection practices if they are to gain a clearer picture of DEI and design more effective interventions
|c Derek R. Avery, Enrica N. Ruggs, Larissa R. Garcia, Horatio D. Traylor, Noelle London
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250 |
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|a [First edition]
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260 |
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|a [Cambridge, Massachusetts]
|b MIT Sloan Management Review
|c 2022
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300 |
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|a 8 pages
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505 |
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|a Includes bibliographical references
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653 |
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|a Personnel management / Data processing
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653 |
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|a Multiculturalisme en milieu de travail
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653 |
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|a Personnel / Direction / Informatique
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653 |
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|a Diversity in the workplace / http://id.loc.gov/authorities/subjects/sh94007733
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653 |
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|a Diversity in the workplace / fast
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653 |
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|a Personnel management / Data processing / fast
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700 |
1 |
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|a Ruggs, Enrica N.
|e author
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|a Garcia, Larissa R.
|e author
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|a Traylor, Horatio D.
|e author
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|a eng
|2 ISO 639-2
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|b OREILLY
|a O'Reilly
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|a "Reprint 64212."
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|u https://learning.oreilly.com/library/view/~/53863MIT64212/?ar
|x Verlag
|3 Volltext
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|a 331
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|a 331.1
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|a 658.3
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|a 658
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|a 658.3
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|a Data analytics is key to gaining a clear picture of diversity, equity, and inclusion in an organization and designing more effective interventions, but few managers are collecting the right data in the right way. The authors review common missteps and problematic approaches and provide guidance to managers to improve their data collection strategies and practices around DEI.
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