Managing Talent

Managing Talent

МООК
en
Английский
Subtitles available
12 h
This content is rated 4.2596 out of 5
Source
  • From www.coursera.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 4 Sequences
  • Introductive Level
  • Субтитры доступны на Vietnamese

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Course details

Syllabus

Week 1 - The Talent Pipeline
In this module, you will be introduced to the concept of the talent pipeline. Without amazing people to execute your team, division or company strategy, you will be unable to create value and move forward. Following this module, you will understand that the concept of strategy is first, followed by the positions or organization structure. Once designed, your recruitment brand will attract people to you. Through your recruitment strategies, you will recruit and select the best of the best that fit your team. On-boarding is critical to bringing them into your team and this module will help you to implement superb on-boarding processes.

Week 2 - Managing Performance Evaluation and Feedback
In this module, you will learn about the central approaches for measuring and evaluating performance and behaviors and understand the implications of different evaluation systems for employees. You will also learn how to collect, assess, and use 360 degree feedback. In addition, you will learn how to recognize and mitigate key errors raters make in evaluating the performance of others. Finally, you will gain awareness of the stereotypes that can affect the accuracy of performance evaluations.

Week 3 - Developing and Coaching Your People
As a leader, it is essential that you develop, coach and prepare your team for success. When you help your team members learn and grow, their motivation and engagement increases, their performance improves, and they become more committed to the team. In this module, you will learn how to develop and coach your people to realize their potential and improve their performance.

Week 4 - Creating and Building a Robust Talent Pipeline
True Talent to lead your team, division or company is a requirement in our world. But will you know Talent when you see it? In this module, you will be given a model to help to assess those who will be able to lead into the future. Once selected as a Talent, you will have to continue to develop the individual and engage them continuously. How do we best develop talent? By the end of this module, you will be able to create a talent development plan and begin its execution.

Prerequisite

None.

Instructors

Scott DeRue, Ph.D.
Edward J. Frey Dean at the Ross School of Business
Management and Organizations, Ross School of Business

Maxim Sytch, Ph.D.
Associate Professor of Management and Organizations Michael R. and Mary Kay Hallman Fellow
Management and Organizations, Ross School of Business

Cheri Alexander
Chief Innovation Officer and Executive Director Corporate Learning
Management and Organizations, Ross School of Business

Editor

L'Université du Michigan (UM, UMich ou simplement Michigan) est une université publique de recherche située à Ann Arbor, dans le Michigan, aux États-Unis. Fondée en 1817, l'université est la plus ancienne et la plus grande du Michigan.

La mission de l'université du Michigan est de servir les habitants du Michigan et le monde entier en occupant une place prépondérante dans la création, la communication, la préservation et l'application des connaissances, de l'art et des valeurs académiques, et en formant des dirigeants et des citoyens qui défieront le présent et enrichiront l'avenir.

Platform

Coursera - это цифровая компания, предлагающая массовые открытые онлайн-курсы, основанные учителями компьютеров Эндрю Нгом и Стэнфордским университетом Дафни Коллер, расположенные в Маунтин-Вью, штат Калифорния.

Coursera работает с ведущими университетами и организациями, чтобы сделать некоторые из своих курсов доступными в Интернете, и предлагает курсы по многим предметам, включая: физику, инженерию, гуманитарные науки, медицину, биологию, социальные науки, математику, бизнес, информатику, цифровой маркетинг, науку о данных и другие предметы.

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