Abstract

Efficient leadership plays an important role in organizations, with the military being one of the more obvious examples of this statement. In this context, it is not surprising that ensuring a culture of excellence is at the heart of Navy leadership. However, it is not easy to maintain or increase the quality of leadership among staff, as such efforts require constant training and practice. To address this need for continuous monitoring and improvement in human leadership expressed in everyday communication, we demonstrate the feasibility of automatically detecting and classifying military leadership messages. We achieve this goal by 1) curating a data set of short text messages that are written in the military-specific language, have some characteristics of spoken language, and are human-annotated with labels referring to selected leadership roles and 2) demonstrating the performance of selected automation methods that allow classes to be predicted for each analyzed message. This study shows that recent deep learning methods provide reasonable performance, even when limited data is provided. Future efforts should focus on creating an automated self-assessment tool that would enable continuous monitoring and training of leadership skills required in the Navy domain.

Highlights

  • Maintaining high-quality leadership is most likely a key to success for any organization or project

  • FOR AUTOMATIC DETECTION OF LEADERSHIP MESSAGES In our study, we demonstrate the feasibility of automatically detecting leadership messages in a military context with the use of various natural language processing (NLP) methods

  • By comparing our results with those for similar methods applied to other Twitter text analysis domains, such as sentiment analysis [24] or the prediction of user response to Twitter posts [24] we find that the order of performance of the used methods agrees with those from other research: recent deep learning (DL) methods fine-tuned in a supervised manner on problem-specific data provide the highest prediction quality

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Summary

Introduction

Maintaining high-quality leadership is most likely a key to success for any organization or project. From this viewpoint, it is not surprising that in the ‘‘Signature Behaviors’’ document by U.S Naval Forces [1] defines ‘‘Be a leader and encourage leadership in others’’ as a key behavior for marines. Regarding being a leader and encouraging leadership, numerous studies have defined, discussed, and assessed leadership and its traits, types, and techniques for improvement in different ways. A. LEADERSHIP IN VARIOUS CONTEXTS Leadership can be perceived very differently depending on the context. Mwaffo et al in [2] demonstrated that the leadership of individuals and corresponding changes over time can

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