THE FIVE KEY QUALITIES OF LEVEL 5 LEADERS AND HOW WE CAN DEVELOP THEM IN FUTURE LEADERS.
Published In: Leader to Leader, 2024, v. 2024, n. 111. P. 53 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Taylor, David; McArthur, Sarah 3 of 3
Abstract
The authors (Chartered Engineer & Business Leader at Rolls‐Royce and Editor‐in‐Chief of Leader to Leader) build on the concept of "level 5 leaders," from Jim Collins's classic book Good to Great. They outline and describe the concept, and write that their "review of 7 out of 11 of the level 5 leaders in Jim's book showed the following 5 leadership qualities that created this combination of humility and will." Those qualities, in their words, are: 1. Purpose before profits 2. Connection before critical thinking 3. Service before seniority 4. Creativity before control 5. Coaching for mastery. Each of these qualities is outlined in depth regarding recent leaders: Frances Hesselbein (Former CEO of Girl Scouts of the USA, Namesake of Frances Hesselbein Leadership Forum, Founder and longtime Editor‐in‐Chief of Leader to Leader, Presidential Medal of Freedom recipient); Alan Mulally, (Former CEO of Boeing Commercial Airplanes, Boeing Defense and Space, and the Ford Motor Company); and Hubert Joly (Former Chairman and CEO of Best Buy, recognized top 10 U.S. CEO, Glassdoor: Unleashing Human Magic). They write that these leaders "advocate an approach where all stakeholders are included to create insights, implement change, and follow up to deliver sustainable and long‐term improvement." [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Leader to Leader. 2024/01, Vol. 2024, Issue 111, p53
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2024
- ISSN:1087-8149
- DOI:10.1002/ltl.20783
- Accession Number:174328564
- Copyright Statement:Copyright of Leader to Leader is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.