Creepy Analytics: Avoid Crossing the Line and Establish Ethical HR Analytics for Smarter Workforce Decisions
Falletta, Salvatore
- 出版商: McGraw-Hill Education
- 出版日期: 2024-02-23
- 售價: $1,270
- 貴賓價: 9.5 折 $1,207
- 語言: 英文
- 頁數: 288
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1265132674
- ISBN-13: 9781265132675
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商品描述
Discover how to develop and implement an HR analytics system that benefits employees, as well as your organization.
The potential of HR analytics is a major discussion among scholars, practitioners, thought leaders, and technology vendors, with companies like Amazon, Apple, Google, and Meta digging deeply into HR research and analytics practices that extend beyond simple metrics, scorecards, and reporting.
Additionally, ethical questions have begun to arise about the potential abuses of HR analytics with respect to technological advancements and the "datafication" of personal, and often trivial, characteristics, preferences, and behaviors that have little relevance to job performance.
As a former chief human resources officer, head of Global HR Research and Analytics at a Fortune 100, and thought leader on this subject, Salvatore Falletta has witnessed first-hand the emergence of "creepy analytics" as a hot-button issue.
In this one-of-a-kind guide, Falletta delivers a proven step-by-step process for establishing HR analytics capabilities that serve employees and organizations alike. You'll learn how to rethink and redefine HR analytics, determine stakeholder requirements, gather and transform data, communicate intelligence results, and establish an ethical ecosystem to ensure HR analytics remains a force for good.
商品描述(中文翻譯)
了解如何開發和實施一個對員工和組織都有益的人力資源分析系統。
人力資源分析的潛力是學者、從業者、思想領袖和技術供應商之間的重要討論話題,像亞馬遜、蘋果、谷歌和Meta等公司深入研究和分析實踐,超越了簡單的指標、記分卡和報告。
此外,關於人力資源分析的潛在濫用問題開始浮出水面,涉及技術進步和個人特徵、偏好和行為的「數據化」,這些特徵通常與工作表現無關,引發了倫理問題。
作為一位前首席人力資源官、負責全球人力資源研究和分析的領導者,Salvatore Falletta第一手見證了「可怕的分析」成為一個熱門議題。
在這本獨一無二的指南中,Falletta提供了一個經過驗證的逐步建立人力資源分析能力的過程,既能為員工服務,也能為組織服務。您將學習如何重新思考和重新定義人力資源分析,確定利益相關者的需求,收集和轉換數據,傳達智能結果,並建立一個倫理生態系統,以確保人力資源分析始終是一個正面的力量。