04066ntm a22005417i 4500 000717610 CZ-PrVSE 20240928124904.0 m d cr n|||||||||| 240928s2024 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Jehlička, Jakub ISIS:172209 dis (FOMO) a přijetí umělé inteligence : Pochopení toho, jak osobní charakteristiky a prostředí ovlivňují přijetí umělé inteligence. eng FOMO AND AI ADOPTION : AN IN-DEPTH ANALYSIS OF DECISION-MAKING DRIVERS Jakub Jehlička 2024 ?? stran : digital, PDF soubor Vedoucí práce: Miroslav Špaček Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta podnikohospodářská, 2024 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2024 This study investigates the influence of personal characteristics on the adoption of emerging technologies, with a focus on Artificial Intelligence (AI). It explores how the Fear of Missing Out (FOMO) impacts decision-making among decision makers which has so far not been extensively studied. While AI offers significant benefits in enhancing productivity and innovation, the pressure to adopt these technologies come from multiple directions creating a hype with often evoking FOMO, which can lead to impulsive and suboptimal decisions. The research highlights that decision-makers with extensive hands-on experience and a deep understanding of AI tend to exhibit lower levels of FOMO, enabling them to make more rational and strategic decisions. Conversely, those with higher FOMO are more likely to rush into AI adoption, influenced by competitive pressures and the fear of falling behind. The study employs a qualitative methodology, conducting semi-structured interviews with decision-makers from diverse industries. The findings reveal a complex interplay between personal traits, such as experience, tolerance for ambiguity, and emotional resilience, and external factors like competitive dynamics and technological advancements. These factors collectively shape how decision-makers approach the adoption of AI technologies. The research underscores the need for organizations to develop strategies that mitigate the influence of FOMO, ensuring that technology adoption decisions are based on thorough evaluation rather than reactive impulses. The study's insights contribute to a deeper understanding of the psychological factors that drive technology adoption, offering valuable guidance for business leaders navigating the challenges of AI integration in their organizations. Způsob přístupu: Internet management [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas fear of missing out AI Adoption Personal Characteristics Option Characteristics Špaček, Miroslav, 1954- vse2013764330 ths Busch, Thorsten opn Vysoká škola ekonomická v Praze. Podnikohospodářská fakulta kn20010709402 dgg https://insis.vse.cz/zp/88215/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/88215 Hlavní práce https://insis.vse.cz/zp/88215/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/88215/posudek/oponent/84418 Oponentura https://insis.vse.cz/zp/88215/priloha/29774 Přiloha k práci https://insis.vse.cz/zp/88215/priloha/29776 Přiloha k práci https://insis.vse.cz/zp/88215/priloha/29783 Přiloha k práci https://insis.vse.cz/zp/88215/podrobnosti dc:identifier NEPOSILAT VSKP vse88215 240918 88215