mixed material bibliography Bloomington Authorhouse 2006

xviii, 215 p. : figs., tabs., ; index ; 28 cm. You've heard the human resource buzz words talent management, talent assessment, high potentials, succession planning but what does it all really mean? What steps and decisions are involved in the creation and implementation of these programs? How will you be able to measure these programs to ensure positive business results are achieved? Written by two human resource practitioners who have implemented these programs in Fortune 500 companies and lived to tell the tale, Building Tomorrow s Talent provides practical ideas and tools to help others create and enhance these programs in their own organizations. In this book you ll find: Talent Management checklists, frequently asked questions, charts, slide presentation ideas, and a project planning template Talent review meeting facilitation tips and potential answers to the challenging questions you are likely to receive from business leaders The controversial to tell or not to tell question of high potential notification is thoroughly explored, as well other high potential identification decisions. (text cited from www.amazon.com) Table Of Content Section One: The Planning Stage Building your leadeship pipeline - Are you ready? - High potential strategic decisions - Succession planning strategic decisions - To tell or not to tell, that is the question - Planning the talent assessment process - The talent review meeting: what is it? - Collaboration with internal partners - Preparing for the executive presentation Section Two: The Preparation Stage - Preparing your leaders - The talent review meeting: facilitator preparation Section Three: The Implementing Stage - Talent review facilitation techniques - After the talent review meeting - Notifying high potencials: Communication ideas Section Four: Measuring Reasults - Measuring result FA/AD 9781425994655 Perpustakaan - Sekolah Tinggi Manajemen PPM Pusat Informasi Manajemen FA/AD Gay 35146 2008-04-10 00:00:00 2012-05-11 00:00:00 machine generated