Title

Virtual Leadership Development Simulation Using The 4-D System

Keywords

Avatars; Engineering education; Leadership; Simulation; Training

Abstract

US companies spend approximately $14 billion dollars annually on leadership development. Although leadership skills provide a future competitive advantage against industry rivalry, technology and engineering industries have concluded that technical skills are not enough to drive business to a leading place in the those markets. As a result, traditional methods of teaching leadership have shown poor outcomes. According to McKinsey, absence of embedding leadership development in real work and failing to apply the right leadership in the right context are the cause for failure in leadership development. Charles J. Pellerin illustrates a great method for analyzing, improving and managing behavior and performance of individuals and teams called 4-D system. In this study we enhance the 4-D system by using experiential learning in cases that reflect different business environments. This experiential learning is developed by using open simulator enterprise systems where we can represent human beings by avatars that can be managed and dramatized by actual people. In addition, these avatars can be combined with other avatars managed by scripted behaviors, Artificial Intelligence (A.I.) with many leadership scenarios obtained from real cases. This paper presents an introduction and background to leadership and discusses a novel methodology using live, virtual and constructive simulation. This methodology allows engineers to learn and practice leadership in a synthetic environment by using real cases instead of the traditional methods. Engineers will feel and live the real working environment through interactions with other peers, subordinates and other non-engineering workers.

Publication Date

1-1-2015

Publication Title

IIE Annual Conference and Expo 2015

Number of Pages

2292-2301

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84970990829 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84970990829

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