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The framework introduces propositions across four team types and proposes an intelligent team optimization algorithm, with implications and future research directions.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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MBTI synergy?","Question",{"text":63,"@type":64},"The paper proposes a theoretical AI-MBTI synergy framework explaining how AI capabilities can complement different MBTI personality types in organizational teams to enhance performance.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Which MBTI dimensions does the framework focus on?",{"text":68,"@type":64},"It primarily focuses on the Intuition–Sensing and Thinking–Feeling dimensions, linking them to information processing and decision-making areas where AI can provide enhancement.",{"name":70,"@type":61,"acceptedAnswer":71},"How does the paper suggest implementing the framework in practice?",{"text":72,"@type":64},"It proposes a novel implementation using an intelligent team optimization algorithm and an AI-powered team assistant integrating MBTI insights with a state-of-the-art 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Social Sciences  \n[wangyue@suss.edu.sg](wangyue@suss.edu.sg)  \n[https://orcid.org/0000-0001-8322-5384](https://orcid.org/0000-0001-8322-5384)  \nAbstract: This paper proposes a theoretical framework for understanding and leveraging the synergy between artificial intelligence (AI) and personality types as defined by the MyersBriggs Type Indicator (MBTI) in organizational team settings. We argue that AI capabilities can complement and enhance different MBTI types, leading to improved team performance. The AI-MBTI Synergy Framework is introduced, focusing on the Intuition-Sensing and Thinking-Feeling dimensions. We present propositions about how AI can augment team dynamics across four team types: Visionary, Strategic, Supportive, and Operational. A novel implementation is proposed to create an intelligent team optimization algorithm. Implications for theory and practice are discussed, along with directions for future research.  \nKeywords: Artificial Intelligence, MBTI, Team Dynamics, Cognitive Processes, Organizational Behavior  \n* Conflict of Interests Statement  \nThe authors declare that there are no conflicts of interest regarding the publication of this paper. All research was conducted independently, without any financial or personal relationships that could have influenced the work reported in this paper. The funding sources for this research did not have any involvement in the study design, data collection, analysis, interpretation, writing, or decision to submit the article for publication. The authors have no affiliations with or involvement in any organization or entity with any financial interest, or non-financial interest in the subject matter or materials discussed in this manuscript.  \n*Data Availability Statement  \nNo data were generated or analyzed in this study. Consequently, there are no data sets associated with this paper. The research and conclusions presented are based on theoretical analysis and literature review, and therefore do not require a data availability statement.  \n1. Introduction  \nAs artificial intelligence (AI) becomes increasingly integrated into organizational processes, understanding its interaction with human factors is crucial for optimizing team performance (Braz & Sichman, 2020) . This paper explores the synergistic relationship between AI and personality types as defined by the Myers-Briggs Type Indicator (MBTI), with a focus on enhancing team dynamics across different personality combinations.  \nThe MBTI, developed by Myers and Briggs based on Jung (1971)'s theory of psychological types, has been widely used in organizational settings to understand individual differences and improve team composition (Myers et al., 1998) . Its applications range from recruitment and job matching (Chen & Chen, 2015) to team building and conflict resolution (Bradley & Hebert, 1997; Wilsher, 2015) . However, research on how AI capabilities might complement or enhance different MBTI types remains limited. This study aims to address this gap by proposing a theoretical framework for AI-MBTI synergy in team contexts.  \nDrawing on cognitive process theory and recent advances in AI applications, we develop propositions about how AI can augment the strengths and mitigate the weaknesses of different MBTI-based team compositions. Our framework focuses primarily on the IntuitionSensing and Thinking-Feeling dimensions, as these most directly relate to information processing and decision-making-areas where AI can provide significant enhancement (Salvit & Sklar, 2010) .  \nThe Belief-Desire-Intention (BDI) model, a foundation for rational agents in AI, provides a starting point for integrating MBTI into agent behavior (Rao & Georgeff, 1995) . Salvit and Sklar (2012) extended this model to incorporate MBTI personality types, demonstrating how different types influence agent decision-making and performance in simple tasks.","cbCaidGLyjuI1zEJ","https://ap.wps.com/l/cbCaidGLyjuI1zEJ","pdf",208182,"English","# Introduction\n# Theoretical Background","[{\"question\":\"What does the paper propose about AI and MBTI synergy?\",\"answer\":\"The paper proposes a theoretical AI-MBTI synergy framework explaining how AI capabilities can complement different MBTI personality types in organizational teams to enhance performance.\"},{\"question\":\"Which MBTI dimensions does the framework focus on?\",\"answer\":\"It primarily focuses on the Intuition–Sensing and Thinking–Feeling dimensions, linking them to information processing and decision-making areas where AI can provide enhancement.\"},{\"question\":\"How does the paper suggest implementing the framework in practice?\",\"answer\":\"It proposes a novel implementation using an intelligent team optimization algorithm and an AI-powered team assistant integrating MBTI insights with a state-of-the-art LLM.\"}]","AI and MBTI - A Synergistic Framework for Enhanced Team Dynamics | PDF",33]