Date of Award

5-2026

Document Type

Dissertation

Degree Name

Doctor of Business Administration (DBA)

Department

Bisk College of Business

First Advisor

Abram Walton

Second Advisor

Emily Vogt

Third Advisor

Shellie Halstead

Fourth Advisor

Gary Burns

Abstract

Teaming is increasingly acknowledged for its collaborative, synergistic strengths, facilitating projects that are becoming more complex and that rely on decentralized, specialized resources (Koeslag-Kreunen et al., 2018; Mathieu et al., 2018). Patrick Lencioni emphasized this importance, stating, “Not finance. Not strategy. Not technology. It is teamwork that remains the ultimate competitive advantage, both because it is so powerful and so rare” (Lencioni, 2010). One of the key factors facilitating the growth of teaming is the emergence of artificial intelligence (AI), which is advancing through improvements in algorithms, expanded networking capabilities, and rapid increases in computing capacity. These advances enable new forms of coordination, decision support, and collaboration within team environments (Dennis et al., 2023; Pinski et al., 2023). This work aims to integrate teaming with AI technologies through a pragmatic framework using a sequential quantitative design. AI-supported teams are increasingly shifting toward hybrid human–AI configurations in which intelligent systems augment coordination, decision-making, and collaboration processes (Flak & Pyszka, 2022; Grensing-Pophal, 2024). The study utilizes Outcome-Driven Innovation (Ulwick, 2017) within a sequential quantitative design using project teams implementing software to assess the benefits of each behavior and task iv within the team context. Organizations increasingly rely on teams to address complex, non-routine problems that require collective problem-solving, knowledge integration, and adaptive coordination (Boroomand & Smaldino, 2021; Loureiro & Pereira, 2024). Identifying the tasks and behaviors that are most advantageous, and enhancing their value through AI augmentation, has the potential to improve team performance

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