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The technology acceptance model and adopter type analysis in the context of artificial intelligence
No full textThis article is licensed under a Creative Commons Attribution 4.0 International License (CC-BY 4.0)
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/frai.2024.1496518/full#supplementary-materialIntroduction
Artificial Intelligence (AI) is a transformative technology impacting various sectors of society and the economy. Understanding the factors influencing AI adoption is critical for both research and practice. This study focuses on two key objectives: (1) validating an extended version of the Technology Acceptance Model (TAM) in the context of AI by integrating the Big Five personality traits and AI mindset, and (2) conducting an exploratory k-prototype analysis to classify AI adopters based on demographics, AI-related attitudes, and usage patterns.
Methods
A sample of N = 1,007 individuals individuals (60% female; M = 30.92; SD = 8.63 years) was collected. Psychometric data were obtained using validated scales for TAM constructs, Big Five personality traits, and AI mindset. Regression analysis was used to validate TAM, and a k-prototype clustering algorithm was applied to classify participants into adopter categories.
Results
The psychometric analysis confirmed the validity of the extended TAM. Perceived usefulness was the strongest predictor of attitudes towards AI usage (β = 0.34, p < 0.001), followed by AI mindset scale growth (β = 0.28, p < 0.001). Additionally, openness was positively associated with perceived ease of use (β = 0.15, p < 0.001). The k-prototype analysis revealed four distinct adopter clusters, consistent with the diffusion of innovations model: early adopters (n = 218), early majority (n = 331), late majority (n = 293), and laggards (n = 165).
Discussion
The findings highlight the importance of perceived usefulness and AI mindset in shaping attitudes toward AI adoption. The clustering results provide a nuanced understanding of AI adopter types, aligning with established innovation diffusion theories. Implications for AI deployment strategies, policy-making, and future research directions are discussed.Vo
Galois Theory and Hilbert Irreducibility Theorem
No full textThis is the extended draft version of the author's master's thesis titled "A Study of Hilbert Irreducibility Theorem" written at Sardar Vallabhbhai National Institute of Technology, Surat, and Harish Chandra Research Institute, Prayagraj, India, in 2023.In this dissertation, we are studying abstract algebra; mostly, our focus is on studying Galois theory in depth, and then we will study the proof of our main theorem, "Hilbert Irreducibility Theorem," which states that given any irreducible polynomial g (t_1, t_2,...., t_n, x) over the rational numbers, there are an infinite number of rational n-tuples (a_1, a_2,...., a_n) such that f (a_1, a_2,..., a_n, x) is irreducible over the rational numbers. I have omitted the basics of abstract algebra, such as group, ring, and field theory, and motivated the reader to read a basic book to learn these topics. I have presumed that the reader knows linear algebra. I started my dissertation with an introduction to group characters and then extended our discussion to Galois extension and normal extension to provide the basis for studying the Fundamental Theorem of Galois Theory. Then, we fixed our focus on Kummer Extensions and Cyclotomic Extensions. To end our discussion of Galois' theory, we studied solvable groups. Then some complex analysis theorems have been stated, which we will use in our proof of Hilbert's irreducibility theorem. A whole chapter has been dedicated to studying lemmas to prove our theorem, and then in the last chapter, we have proved our theorem.HSU-draf
Der (Aus)Bildungskongress der Bundeswehr im Spiegel wissenschaftlich-fachlicher, sicherheitspolitischer und organisationsspezifischer Entwicklungen, 2004-2025
No full textDer Beitrag erscheint im Kongresskatalog zum (Aus)Bildungskongress der Bundeswehr 2025.Vo
Evaluation of novel high-bandwidth current sensors for high-current SiC-applications
No full textHigh bandwidth current sensors are needed to capture the fast switching transients of modern wide-bandgap semiconductor switches made from GaN and SiC. This work evaluates the usage of novel current sensors such as the M-Shunt and the second-generation Infinity Sensor for their ability to accurately resolve switching transients in the range of nanoseconds in high-current applications. Important metrics include: high bandwidth, low insertion inductance, small size and DC-capability. Measurement results are compared to established current sensors (Rogowski coil and coaxial shunt). Double pulse tests in an NPC inverter application were performed to test the sensors up to currents of 400 A.Vo
M365 Copilot im Studienalltag
No full textInhaltsverzeichnis
1 Hintergrund und Aufbau der Ad-hoc-Befragung 3
2 Nutzung M365 Copilot: Häufigkeiten und Gründe 4
3 Gründe der Nicht-Nutzung von M365 Copilot und Gründe der Nutzung anderer KI-Anwendungen 6
4 M365 Copilot – (Nicht-)Teilnahme an Trainings und Q&A-Sessions 9
5 Zusammenfassung und abschließende Interpretation bisheriger Ergebnisse 11
6 Impulse für weitere Forschungsmöglichkeiten 13
7 Literatur 15Eingebettet in den Gesamtforschungszusammenhang wurden Studierende (n=395) der Studiengänge Bildungs- und Erziehungswissenschaften, Geschichte und Psychologie an der Fakultät für Geistes- und Sozialwissenschaften der HSU/UniBw H dazu mit Lizenzen der KI-Anwendung Microsoft M365 Copilot (im Folgenden M365 Copilot bzw. Copilot) ausgestattet. Diese KI-Lizenzen konnten aufgrund technischer Gegebenheiten und der Ausstattung mit einem „digitalen Basispaket“ (Laptop und Software-Suite) durch die Studierenden im Januar 2025 aktiv über einen sogenannten „Software-Kiosk“ abgerufen werden (näheres dazu in Schmidt-Lauff, 2025a). Begründet durch den Umstand, dass wider Erwarten nach zwei Monaten nur knapp die Hälfte aller Zugangsberechtigten eine Copilot-Lizenz in Anspruch genommen hatte und zugleich nur vereinzelt Studierende an den Trainings wie auch Q&A-Sessions teilnahmen, wurde die vorliegende Ad-hoc-Erhebung als quantitative Befragung konzipiert. Leitendes Forschungsziel und -interesse war es, Erkenntnisse über die Beweggründe der Studierenden für ihre (Nicht-)Nutzung von Copilot und (Nicht-)Teilnahme an den dazugehörigen Trainings und Sessions zu gewinnen.Vo
Developing digital leadership skills with the Digital Leadership Assistance Platform (DigiLAP)
No full textDieser Artikel ist unter der Creative Commons Namensnennung 4.0 International Lizenz veröffentlicht: http://creativecommons.org/licenses/by/4.0/deed.deIn diesem Artikel der Zeitschrift Gruppe. Interaktion. Organisation. wird die Führungskräfte-Onlineplattform Digital Leadership Assistance Platform (DigiLAP) vorgestellt. Dabei wird auf die wissenschaftliche Entwicklung eingegangen, der Aufbau und die wesentlichen Funktionen sowie erste Ergebnisse der wissenschaftlichen Evaluation vorgestellt. Darüber hinaus werden Nutzungsmöglichkeiten für die Personalentwicklung und Führungskräfte dargestellt und abschließend auf Weiterentwicklungspotenzial für die Zukunft eingegangen.Vo
Albert J. Mills and Jean Helms Mills
No full textMills and Helms Mills’ careers have spanned nearly 40 years. Together, they have forged a fruitful and productive scholarly partnership in developing theories, methods and critical insights into gender in management and organization studies. Now they are regarded as key scholars in several subfields, including critical management studies and management history for advancing equity, diversity and inclusion themes in research. Their legacy also involves training dozens of doctoral graduates in Canada and Finland.Vo