Deciphering the Efficacy of Algorithmic Leadership in Remote Project Management: An Empirical Analysis of Tech Startups

Casey Roberts; Grace Scott; Jamie Turner; Kim Roberts

Authors

Casey Roberts PhD
Grace Scott Associate Professor
Jamie Turner Professor
Kim Roberts Dr. Sc

Keywords:

Algorithmic Leadership, Remote Project Management, Tech Startups, Leadership Dynamics, Project Efficiency, Data-Driven Decision Making, Virtual Workspaces, Leadership Paradigms, Management Science

Abstract

This study delves into the transformative potential of algorithmic leadership models within the realm of remote project management in tech startups. Employing a mixed-methods approach, we analyzed data from 200 global tech firms, uncovering pivotal insights into leadership dynamics and project outcomes. Our findings reveal that algorithmic leadership significantly enhances project efficiency and team cohesion, albeit with challenges in adaptability to dynamic market conditions. These insights are pivotal for strategists aiming to optimize leadership paradigms in decentralized and virtual environments.

Author Biographies

Casey Roberts, PhD

PhD
Stanford University
450 Serra Mall, Stanford, CA 94305, USA

Grace Scott, Associate Professor

Associate Professor
University of Oxford
Wellington Square, Oxford OX1 2JD, United Kingdom

Jamie Turner, Professor

Professor
University of Melbourne
Parkville, VIC 3010, Australia

Kim Roberts, Dr. Sc

Dr. Sc
University of Toronto
27 King's College Cir, Toronto, ON M5S, Canada

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