Agentic systems as catalysts for innovation in FinTech: exploring opportunities, challenges and a research agenda DOI
Ibrahim A. Elgendy, Mohamed Y. Helal, Mohammed A. Al‐Sharafi

и другие.

Information Discovery and Delivery, Год журнала: 2025, Номер unknown

Опубликована: Май 24, 2025

Purpose Agentic artificial intelligence (AI) systems, which feature autonomous decision-making and adaptive intelligence, can potentially revolutionize financial technology (FinTech) by combining algorithmic accuracy with human knowledge. This study aims to examine the opportunities, challenges transformational potential of agentic systems in FinTech suggests a thorough research agenda for directing their sustainable ethical integration. Design/methodology/approach conceptualizes changing environment insights from technical whitepapers, industrial case studies scholarly literature. It assesses how they are conventional frameworks determines key factors that affect adoption. Findings The sentiment analysis 170 social media posts revealed an overwhelmingly positive public perception (85%) AI FinTech. In addition, finds fundamentally alter providing autonomous, context-aware services trade, fraud detection, customer interaction regulation. However, widespread implementation presents such as transparency, alignment, system robustness regulatory supervision. Research limitations/implications paper provides fundamental paradigm help stakeholders navigate industry’s adoption systems. examines many facets these systems’ novel especially automation, personalization risk management. also future direct investigations promote cooperation among industry, academia agencies. Originality/value To best authors’ knowledge, this is one first comprehensive evaluations emphasizes multidisciplinary essential ensuring reasonable, long-term advancements digitalization.

Язык: Английский

A Study on Chatbot Development Using No-Code Platforms by People with Disabilities for Their Peers at a Sheltered Workshop DOI Creative Commons
Sara Hamideh Kerdar, Britta Marleen Kirchhoff,

Lars Adolph

и другие.

Technologies, Год журнала: 2025, Номер 13(4), С. 146 - 146

Опубликована: Апрель 4, 2025

No-code (NC) platforms empower individuals without IT experience to create tailored applications and websites. While these are accessible a broader audience, their usability for people with disabilities remains underexplored. This study investigated whether, targeted training, could effectively use NC develop customized tools workplace, whether would be adopted by peers. Conducted in collaboration sheltered workshop Germany, the had three phases. Phase I involved brainstorming session employees, which shaped design product development. In II, six participants received one-week training chatbots. III implemented chatbots workshop. each participant successfully developed four chatbots, increased participants’ skills motivation. Based on phase results, users rated highly (the System Usability Scale (SUS) questionnaire was delivered form of chatbot), indicating user-friendliness (M = 88.9, SD 11.2). suggests that appropriate can impactful, user-friendly

Язык: Английский

Процитировано

0

Determinants of students’ adoption of AI chatbots in higher education: the moderating role of tech readiness DOI
Muhammad Khalilur Rahman,

Md. Arafat Hossain,

Noor Azizi Ismail

и другие.

Interactive Technology and Smart Education, Год журнала: 2025, Номер unknown

Опубликована: Апрель 9, 2025

Purpose This study aims to investigate the key factors influencing students’ adoption of artificial intelligence (AI) chatbot applications in higher education. It further examines mediating and moderating role AI chatbots tech readiness determining effect perceived usefulness, subjective norms, simplicity literacy on intention use applications. Design/methodology/approach A survey was conducted at Malaysian universities whereby 430 students participated 426 responses were deemed valid for analysis. The data carefully examined ensure accuracy proposed model. To comprehend intricate relationships model, authors used partial least squares structural equation modeling (PLS-SEM) technique. Findings results revealed that usefulness (PU), norm (SN), (TL) (TS) have a significant impact significantly influences findings indicated mediates PU, SN, TL TS chatbots. Tech (TR) moderates PU Originality/value research addresses new insight into within education, particularly demonstrating how act as mediators moderators shaping perceptions

Язык: Английский

Процитировано

0

Agentic systems as catalysts for innovation in FinTech: exploring opportunities, challenges and a research agenda DOI
Ibrahim A. Elgendy, Mohamed Y. Helal, Mohammed A. Al‐Sharafi

и другие.

Information Discovery and Delivery, Год журнала: 2025, Номер unknown

Опубликована: Май 24, 2025

Purpose Agentic artificial intelligence (AI) systems, which feature autonomous decision-making and adaptive intelligence, can potentially revolutionize financial technology (FinTech) by combining algorithmic accuracy with human knowledge. This study aims to examine the opportunities, challenges transformational potential of agentic systems in FinTech suggests a thorough research agenda for directing their sustainable ethical integration. Design/methodology/approach conceptualizes changing environment insights from technical whitepapers, industrial case studies scholarly literature. It assesses how they are conventional frameworks determines key factors that affect adoption. Findings The sentiment analysis 170 social media posts revealed an overwhelmingly positive public perception (85%) AI FinTech. In addition, finds fundamentally alter providing autonomous, context-aware services trade, fraud detection, customer interaction regulation. However, widespread implementation presents such as transparency, alignment, system robustness regulatory supervision. Research limitations/implications paper provides fundamental paradigm help stakeholders navigate industry’s adoption systems. examines many facets these systems’ novel especially automation, personalization risk management. also future direct investigations promote cooperation among industry, academia agencies. Originality/value To best authors’ knowledge, this is one first comprehensive evaluations emphasizes multidisciplinary essential ensuring reasonable, long-term advancements digitalization.

Язык: Английский

Процитировано

0