Scenario-oriented data interoperability: maximising the connection between data and users in collaboration environments DOI

Beibei Pang,

Juanqiong Gou, Luís M. Camarinha-Matos

и другие.

Enterprise Information Systems, Год журнала: 2024, Номер unknown

Опубликована: Дек. 28, 2024

In large-scale collaborative environments, data interoperability faces challenges due to varying standards, differences in time and space, rising demands for services. Traditional methods focus on integrating resources but often miss the need between users data. This research introduces a new approach interoperability, which emphasises scenario-based strategies. We use topic analysis context fusion handle industry-specific terminology, making it easier understand cross-speciality Our includes concept-extended metamodel address business logic connect with user scenarios. tested our model railway company found effective useful based survey feedback.

Язык: Английский

AI-Driven UX/UI Design: Empirical Research and Applications in FinTech DOI Open Access
Yang Xu,

Yingchia Liu,

Haosen Xu

и другие.

International Journal of Innovative Research in Computer Science & Technology, Год журнала: 2024, Номер 12(4), С. 99 - 109

Опубликована: Июль 1, 2024

This study explores the transformative impact of AI-driven UX/UI design in FinTech sector, examining current practices, user preferences, and emerging trends. Through a mixed-methods approach, including surveys, interviews, case studies, research reveals significant adoption AI technologies design, with 78% surveyed companies implementing such solutions. Personalization emerges as dominant trend, 76% apps utilizing for tailored interfaces. The demonstrates strong correlation between AI-enhanced features improved engagement, incorporating advanced showing 41% increase daily active users. Ethical considerations, data privacy algorithmic bias, are addressed critical challenges implementation. contributes conceptual framework FinTech, synthesizing findings from diverse sources. Future trends, emotional augmented reality integration, explored. concludes that while offers potential enhancing experiences balancing innovation ethical considerations is crucial responsible implementation trust.

Язык: Английский

Процитировано

5
Engineering material failure analysis report generation based on QWen and Llama2 DOI Creative Commons

Sijie Chang,

Meng Wan,

Jiaxiang Wang

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104532 - 104532

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Generative artificial intelligence in tourism management: An integrative review and roadmap for future research DOI
Hengyun Li, Jianpu Xi, Cathy H. C. Hsu

и другие.

Tourism Management, Год журнала: 2025, Номер 110, С. 105179 - 105179

Опубликована: Март 31, 2025

Язык: Английский

Процитировано

0
AI in Companies' Production Processes DOI Open Access
Luis-Alfonso Maldonado-Canca, Juan-Pedro Cabrera-Sánchez, Ana María Casado Molina

и другие.

Journal of Global Information Management, Год журнала: 2025, Номер 32(1), С. 1 - 29

Опубликована: Янв. 9, 2025

The accelerated integration of Artificial Intelligence (AI) in comprehensive organizational management has marked a significant milestone enhancing efficiency and productivity across all sectors. However, the effective adoption this emerging technology faces challenges, such as ethical dilemmas, barriers, notable deficit relevant technological skills. This study embarks on detailed analysis crucial determinants influencing AI by companies, UTAUT model with four new variables: Response Costs, Trust AI, Anxiety, Environmental Sustainability. Through surveys directed at over 400 CEOs work reveals that facilitating conditions, performance expectancy, response costs, trust anxiety determine their companies. These findings contribute to identifying which factors, from managerial perspective, should be considered more than sufficient reasons for implemented production processes.

Язык: Английский

Процитировано

0
Accelerating Industry 4.0 and 5.0: The Potential of Generative Artificial Intelligence DOI
Pedro Antonio Boareto, Anderson Luis Szejka, Eduardo de Freitas Rocha Loures

и другие.

Communications in computer and information science, Год журнала: 2025, Номер unknown, С. 456 - 472

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Transforming Food Systems DOI Open Access
Sapna Tyagi, Surajit Bag, Sarbjit Singh Oberoi

и другие.

Journal of Global Information Management, Год журнала: 2024, Номер 32(1), С. 1 - 33

Опубликована: Авг. 9, 2024

This study explores the use of digital technologies by food supply chain firms to enhance circular practices, aiming boost social, economic, and environmental sustainability chains. The literature on in has experienced significant growth last few years. Given critical importance these technologies, there is an urgent need for a thorough systematic review integrate reconcile findings. research uses SPAR-4 SLR with theories, context methods (TCM) framework synthesize body sustainable chain. integrates existing knowledge propose future directions, while also addressing identified gaps contexts.

Язык: Английский

Процитировано

3
Integrating AI in Supply Chain Management: Using a Socio-Technical Chart to Navigate Unknown Transformations DOI
António Lucas Soares, Jorão Gomes, Ricardo Zimmermann

и другие.

IFIP advances in information and communication technology, Год журнала: 2024, Номер unknown, С. 22 - 35

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

1
Exploring the use of artificial intelligence in humanitarian supply chain: empirical evidence using user-generated contents DOI

Santosh Kumar Shrivastav,

Amit Sareen

Benchmarking An International Journal, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 12, 2024

Purpose The purpose of this study is to investigate the various challenges humanitarian supply chains (HSC) and how these can be addressed using artificial intelligence (AI). Design/methodology/approach This employs exploratory analysis identify issues in HSC use cases AI address through published literature. Subsequently, we collected tweets from Twitter posts LinkedIn relevant keywords over four months. data were cleaned, analyzed interpreted gain insights into users' perspectives on HSC. Findings reveals that such as logistical challenges, security concerns, health safety, access constraints, information gaps, coordination collaboration, cultural sensitivity, funding climate environmental factors ethical dilemmas are predominantly discussed Meanwhile, user-generated content different levels prioritization attributes offers AI-based solutions. Research limitations/implications subject certain limitations, including a restricted collection period only months just two social media platforms. These limitations could by conducting more comprehensive extended across additional platforms produce conclusive findings. Another limitation lack contextual information, which may have provided specific insights. Originality/value To best authors’ knowledge, possibly first paper explore both literature collective users examine attributes, challenges.

Язык: Английский

Процитировано

1
Scenario-oriented data interoperability: maximising the connection between data and users in collaboration environments DOI

Beibei Pang,

Juanqiong Gou, Luís M. Camarinha-Matos

и другие.

Enterprise Information Systems, Год журнала: 2024, Номер unknown

Опубликована: Дек. 28, 2024

In large-scale collaborative environments, data interoperability faces challenges due to varying standards, differences in time and space, rising demands for services. Traditional methods focus on integrating resources but often miss the need between users data. This research introduces a new approach interoperability, which emphasises scenario-based strategies. We use topic analysis context fusion handle industry-specific terminology, making it easier understand cross-speciality Our includes concept-extended metamodel address business logic connect with user scenarios. tested our model railway company found effective useful based survey feedback.

Язык: Английский

Процитировано

0