商品サンプル




   (Adobe Reader®が必要です)
◆ 人的資源管理

GROW: Using Artificial Intelligence to Screen Human Intelligence



著者:Bernstein, Ethan S.;McKinnon, Paul D.;Yarabe, Paul

価格(税込)¥1,123
サイズA4
ページ数12 ページ
発行年月2017年 8月
Product No.418020
言語英語
買い物かごに入れる

ご入金確認後、印刷製本して約1週間お届けします。


商品の説明

Over 10% of all 2017 university graduates in Japan used GROW, an artificial intelligence platform and mobile app developed by Tokyo-based people analytics startup IGS, to recruit for a job. This case puts participants in the shoes of IGS founder and CEO Masahiro Fukuhara, a first-time entrepreneur, as he considers the varied ways the "big data" he is collecting is being used--and whether some uses promised more meaningful (or less potentially misleading) impact than others. After briefly introducing IGS, Fukuhara, and GROW, the case outlines exactly how GROW works, starting with a mobile app to assess competencies and personalities of candidates and ending with artificial intelligence (machine learning) to produce high-quality recommendations to companies about whom they should hire. The case then articulates precisely how three companies--airline ANA (All-Nippon Airways), global conglomerate Mitsubishi Corporation, and advertising/media company Septeni--use GROW in very different ways to manage talent recruiting, screening, hiring, placement, and development. The case asks students to consider two questions: (1) Which of the three company's approach to using people analytics for talent acquisition and development is most appealing (or most concerning)?; and (2) Should Fukuhara turn on the most advanced part of the artificial intelligence engine, allowing GROW not just to provide recommendations to clients about whom they should hire, but also (based on performance and attribute data of previous hires) to overrule clients' specifications (or biases) about the competencies they should be targeting in their ideal hires? Accompanying the case are the (anonymized) data one of these companies used to make their hiring decision, so that students can experience first-hand the opportunities and challenges of using people analytics in hiring. The case also provides an accessible yet thorough explanation of the key aspects of artificial intelligence (supervised, unsupervised, and reinforcement machine learning). The case is well-suited to courses in Managing Human Capital, People Analytics, Talent Development, Organizational Behavior, or General Management.

その他の情報

種別Case
業種Airlines;Financial Services;Human resources;Manufacturing;Technology
発行元Harvard Business School
補足

キーワード

Advertising;General management;Human resource management;Information technology;Organizational behavior;Recruitment;Talent management

こちらの商品を買った人は以下の商品も買っています


合わせてチェックしたい商品

BookPark CaseCatalog 2012356ページ¥3,024(税込)


- このサイトのコンテンツ一覧を表示する -