New Perspectives for Human and Artificial Intelligence Interactions for Leadership e-Recruitment

Abstract

In order to adapt to the post-pandemic era, e-recruitment systems should change their requirements to search for a more competitive leader profile. These systems currently search for individual skills specific to leaders, taking into consideration whether a leader has the required skills and abilities for a certain job. The aim of this study is to improve e-recruitment searches for capable leaders in this new environment. In this regard, the study proposes to search for combinations of complementary skills. These skills, to be effective, should necessarily support each other in order to create successful management. The author’s proposal is to call this combination of skills: Leadership Complementary Skills (LCS). Understanding that some skills should be complementary in order to be viable, the LCS’ new insight into the hiring process was developed to comply with the aim of a performant organization. The idea was drawn from the author’s half a century of real-world experience and from several discussions with employers, employees, consultants and MBA students, debating cases along working and teaching. Statements are presented regarding proposals of appropriate combinations of skills to be implemented in the software of e-recruitment systems, their influence on employees’ behavior and the possible consequences on organizational outcomes. Consistent with the proposals, the author has also developed the Honeycomb Complementary Skills Model for Leadership as a first step in this endeavor, inviting future researchers to find other LCS to be added to the model and accomplish the actual ideal profile of a leader, opening as such a new field of research.

Keywords

• artificial intelligence
• new technologies
• e-recruitment
• leadership
• resilience
• human resource management