Can Ai Accelerate Firm Innovation? A Resource-Based View Perspective DOI
Yiming Zhang, XU Guo-hu,

Shengxu Xiong

et al.

Published: Jan. 1, 2024

Language: Английский

External leadership knowledge integration and AI readiness in family firms: exploring the mediation effects of professionalization DOI
Zoltán Kárpáti, Borbála Szüle

Journal of Family Business Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

Purpose As the knowledge-based theory of firm suggests, integrating leadership knowledge from non-family sources may be paramount in building competitive advantage, and is an invaluable resource successful firms. In volatile business environment, AI developments are among key drivers several thorough transformations, so possible relationship between top management talent readiness has become essential. Our paper examines this link family context, analyzing mediation role professionalization. Design/methodology/approach The adopted a quantitative research approach. Data about Hungarian firms were collected during March April 2024. authors used structural equation modeling, results with without controlling for size sector effect compared. final sample contained 112 Findings findings suggest that identified personal professionalization subdimensions have different roles external integration teams readiness. Without including control variables, development competence absorption fully mediate relationship, delegation subdimension does not significant role. These two effects significantly weaker inclusion variables. Research limitations/implications highlight importance firms, especially when preparing into processes. addition, also emphasize creating AI-compatible environment. Originality/value This aims to integrate evolving field on involvement corporate leadership. Professionalization dimensions defined, examined concerning highlights new directions enhance understanding outcomes.

Language: Английский

Citations

0
Enhancing top managers' leadership with artificial intelligence: insights from a systematic literature review DOI Creative Commons
Simone Bevilacqua, Jana Masárová, Francesco Antonio Perotti

et al.

Review of Managerial Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

Language: Английский

Citations

0
Pathway towards SME competitiveness: Digital capability and digital business model innovation DOI
Ming Fang Teoh, Noor Hazlina Ahmad, Hasliza Abdul Halim

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 79, P. 102728 - 102728

Published: Oct. 5, 2024

Language: Английский

Citations

3
Deconstruct artificial intelligence's productivity impact: A new technological insight DOI
Zhiyao Sun, Shuai Che, Jie Wang

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 79, P. 102752 - 102752

Published: Nov. 1, 2024

Language: Английский

Citations

3
AI-Driven Business Model Innovation: Pioneering New Frontiers in Value Creation DOI Creative Commons
Annabeth Aagaard, Christopher L. Tucci

Springer eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 295 - 328

Published: Jan. 1, 2024

Language: Английский

Citations

2
Introducing Business Model Innovation and the Game Changers of Tomorrow DOI Creative Commons
Annabeth Aagaard

Springer eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 25

Published: Jan. 1, 2024

Language: Английский

Citations

0
Prozessmodell zur Entwicklung KI-basierter Geschäftsmodelle DOI

Robert Kummer,

Maximilian Reuß,

Sergii Kolomiichuk

et al.

Zeitschrift für wirtschaftlichen Fabrikbetrieb, Journal Year: 2024, Volume and Issue: 119(12), P. 939 - 945

Published: Dec. 1, 2024

Abstract Künstliche Intelligenz wird zunehmend auch in kleinen und mittleren Unternehmen (KMU) eingesetzt. Im Fokus stehen dabei meist Effizienzsteigerungen bzw. Arbeitserleichterungen. Potenziale, die aus einer Integration von KI Produkte, Dienstleistungen Geschäftsmodelle resultieren, bleiben allerdings ungenutzt. Diesen Umstand adressierend, diesem Beitrag ein Prozessmodell zur Entwicklung KI-basierter vorgestellt.

Citations

0
Can Ai Accelerate Firm Innovation? A Resource-Based View Perspective DOI
Yiming Zhang, XU Guo-hu,

Shengxu Xiong

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0