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This symposium presents a focused exploration of advancements in leadership measurement, transitioning from traditional questionnaire-based methods to the application of AI and machine learning. Recognizing the foundational value of classical psychometrics, the symposium represents its use in the development of leadership items and scales, as well as works on the use of AI for these important topics. This symposium particularly explores the multifaceted nature of leadership and addresses issues of construct redundancy and bias. The event features a series of presentations that collectively highlight a transformative approach to leadership measurement. These include an in-depth analysis of followership measurement, the application of AI for developing refined leadership scales, an exploration of the interrelations among various leadership constructs, and a discussion on identifying and mitigating biases in these new methodologies. Concluding with insights from two experts in the field of leadership measurement, the symposium aims to integrate traditional insights with modern technological advancements, setting a direction for future research that promises a more comprehensive and nuanced understanding of leadership. How Do You Follow? Development of a Multidimensional Model of Kelley's Typology of Followership Author: Paul Hanges; U. of Maryland Author: Emily Elizabeth Forgo; U. of Maryland, College Park From Abstractness to Concreteness: Generating Leadership Scale Items Using Generative AI Author: Yasmine Elfeki; Virginia Tech Author: Roseanne Foti; Virginia Tech AI Nomological Nets: Identifying the Overlap between Leadership Items using Word Embedding Models Author: Mengying Li; Binghamton U.-State U. of New York Author: Bryan Acton; Binghamton U.-State U. of New York How to Reduce Bias in the Life Cycle of a Data Science Leadership Project Author: George Banks; UNC Charlotte Author: Depeng Xu; U. of North Carlolina, Charlotte Author: Scott Tonidandel; UNC-Charlotte Author: Wenwen Dou; U. of North Carolina, Charlotte Author: Matthew Gerson; UNC Charlotte Author: Jill Yavorsky; U. of North Carolina at Charlotte [ABSTRACT FROM AUTHOR]

In this symposium, participants will be introduced to a variety of important management questions and will experience how current agent- based modeling experts are using these methods to explore those questions. In bringing agent-based modeling techniques into the spotlight, we hope to spark greater interest in the research methods community in learning more about this method and bringing more acceptance for these types of exploration to the field. The presenters in this symposium each used agent-based modeling to explore important micro- and macro-management topics in dynamic, systems-focused ways. The general topics covered in this session range from inequality in career advancement, organization accountability, honest and dishonest behaviors, identity and interpersonal teamwork behaviors, employee- focused investments, and decision-making systems in organizations. Each of these topics explores how decision-making has complex outcomes over time, which can affect others in many ways depending on the specific decisions made. How Gender-Based Micro-Inequities Lead to Macro-Inequalities Author: Mai P. Trinh; UTRGV Author: Chantal Van Esch; Cal Poly Pomona Author: Elizabeth A. Castillo; California State U., San Bernardino Author: Robert Chico; U. of Washington Why Firms Should Want Algorithmic Accountability Author: Kalinda Ukanwa; U. of Southern California Author: Bill Rand; North Carolina State U. Author: Peter Pal Zubcsek; Tel Aviv U. A Dynamic Theory of Honest and Dishonest Behaviors Author: Gabriela Cuconato; Case Western Reserve U. The Dark Side of Expressing Self-Reflective Job Titles Author: Bryan Acton; Binghamton U.-State U. of New York Author: Tyree David Mitchell; Louisiana State U. Author: Patrick Coyle; La Salle U. A Management Systems Perspective Versus Investor Capitalism Author: Gretchen Renee Vogelgesang; San Jose State U. Author: Mai P. Trinh; UTRGV Author: Katalin T. Haynes; U. of Delaware Organizations as Systems of Distributed Attention Author: Jon Atwell; Stanford Graduate School of Business [ABSTRACT FROM AUTHOR]

Individuals hold internal representations or schemas that were developed in the past (Murphy & Johnson, 2011) and include cognitions, emotions, and scripts that have an impact on how they labeled themselves and others as leaders (Eden & Leviatan, 2005; van Knippenberg et al., 2004) or followers (Whiteley et al., 2012) and those representations will influence their identities and interpersonal relations (Coyle & Foti, 2015; Dienesch & Liden, 1986; Engle & Lord, 1997; Lord et al., 1984; Lord & Maher, 1993). To better understand what urges leadership and followership behaviours and actions, we need to uncover and thoroughly examine the versatile ways that people employ to define themselves as leaders or followers. Leader-follower identity dynamics is a promising field of study with major implications on workplace like leader-follower identity switch- LFS (Sy & McCoy, 2014), role transitions within the same domain (Ashforth, 2001), effective momentary or/and shared leadership (Shondrick, Dinh & Lord 2010; Friedrich, Vessey, Schuelke, et al. 2009) and leadership development (Epitropaki et al., 2023; Lord et al., 2020). With our symposium we aim to function as a catalyst and ignite a thought-provoking discussion by exploring current and future research directions. Each one of the panelists will explore the topic from a different angle. [ABSTRACT FROM AUTHOR]