Mapa científico de la Inteligencia Artificial en Comunicación (2004-2024) DOI Creative Commons
Carmen Gálvez

European Public & Social Innovation Review, Год журнала: 2024, Номер 9, С. 1 - 17

Опубликована: Окт. 2, 2024

Introduction: Artificial Intelligence (AI) is having a significant impact in the field of communication, causing transcendental changes processing and consumption information. The objective this work was to analyze most influential AI topic areas communication based on scientific literature. Methodology: 996 references indexed Web Science between 2004-2024 were selected, bibliometric analysis co-words carried out visualization techniques applied build maps. Results: relevant thematic datafication, linking with social media digital journalism. emerging area generative identified, linked new models, such as ChatGPT, designed generate content form written text, audio, images or videos. Another China's use communication. Discussions: Despite still process structuring, few consolidated topics. Conclusions: This study made it possible identify studied, well detection trends.

Язык: Английский

The transformative power of artificial intelligence within innovation ecosystems: a review and a conceptual framework DOI
Giustina Secundo, Claudia Spilotro, Johanna Gast

и другие.

Review of Managerial Science, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 23, 2024

Язык: Английский

Процитировано

5

Bibliometric analysis and research trends in minimum quantity lubrication for reducing cutting forces DOI
Chen Ji, Rui Sheng,

Hao Wu

и другие.

The International Journal of Advanced Manufacturing Technology, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 21, 2024

Язык: Английский

Процитировано

4

On Capability Needs for AI Utilization in Innovation Networks: Critical Literature Review DOI

Pasi Hänninen,

Jyri Vilko

Communications in computer and information science, Год журнала: 2025, Номер unknown, С. 66 - 81

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

AI and value co-creation in the banking sector: a bibliometric analysis and a systematic literature review DOI
Rania B. Mostafa

International Journal of Bank Marketing, Год журнала: 2025, Номер unknown

Опубликована: Март 7, 2025

Purpose AI technology is now intensively used by banks to create value for bank customers. Therefore, this study endeavors synthesize and track a decade of research emphasizing co-creation in the banking sector. Design/methodology/approach A bibliometric analysis published between 2013 2023 was conducted based on data obtained from Scopus, yielding sample 41 papers further analysis. Performance science mapping are as roots using VOSviewer software Biblioshiny package. The incorporated with literature review. Findings contribution theoretical foundation sector were outlined. In addition, thematic structure, which beneficial uncovering gap, analyzed. Moreover, systematic review helped clarify clusters’ content emerging Research limitations/implications By investigating “who,” “what,” “where,” “when” “how” sector, contributes theory practice advancing understanding underlying topic. Practical implications findings benefit marketers policymakers effectively use facilitate Originality/value This paper pioneering thus has potential provide valuable insights scholars decision-makers banks.

Язык: Английский

Процитировано

0

Artificial Intelligence in Open Innovation Project Management: A Systematic Literature Review on Technologies, Applications, and Integration Requirements DOI Creative Commons

Moonita Limiany Prasetyo,

Rosliyana Perangin-Angin,

Nada Martinovic

и другие.

Journal of Open Innovation Technology Market and Complexity, Год журнала: 2024, Номер unknown, С. 100445 - 100445

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

3

Mapa científico de la Inteligencia Artificial en Comunicación (2004-2024) DOI Creative Commons
Carmen Gálvez

European Public & Social Innovation Review, Год журнала: 2024, Номер 9, С. 1 - 17

Опубликована: Окт. 2, 2024

Introduction: Artificial Intelligence (AI) is having a significant impact in the field of communication, causing transcendental changes processing and consumption information. The objective this work was to analyze most influential AI topic areas communication based on scientific literature. Methodology: 996 references indexed Web Science between 2004-2024 were selected, bibliometric analysis co-words carried out visualization techniques applied build maps. Results: relevant thematic datafication, linking with social media digital journalism. emerging area generative identified, linked new models, such as ChatGPT, designed generate content form written text, audio, images or videos. Another China's use communication. Discussions: Despite still process structuring, few consolidated topics. Conclusions: This study made it possible identify studied, well detection trends.

Язык: Английский

Процитировано

1