Generative artificial intelligence algorithms in Internet of Things blockchain-based fintech management DOI Creative Commons
Mihai Andronie, Roman Blažek, Mariana Iatagan

et al.

Oeconomia Copernicana, Journal Year: 2024, Volume and Issue: 15(4), P. 1349 - 1381

Published: Dec. 30, 2024

Research background: Big data-driven artificial Internet of Things (IoT) fintech algorithms can provide real-time personalized financial service access, strengthen risk management, and manage, monitor, mitigate transaction operational risks by credit suspicious abnormal pattern detection, synthetic data-based fraud simulation. Blockchain technologies, automated planning investment advice services, scoring detection tools be leveraged in trading forecasting planning, cryptocurrency transactions, workflow automation detection. Algorithmic tools, distributed ledger ensemble learning support vector machine are pivotal predictive analytics-based mitigation, customer behavior preference-based product personalization, automation. Credit management offer recommendations based on data, behavior, preferences, addition to history, generative adversarial deep recurrent neural networks. Purpose the article: We show that blockchain edge computing IoT-based algorithms, monitoring harnessed decision-making processes loan default rate mitigation for transaction, payment, process efficiency. Generative intelligence (AI) algorithmic systems drive coherent operations, tailored advice, influence decision processing, while performing assessment scenario simulation across fluctuating market conditions. Fraud money laundering prevention federated decentralized articulate profiling-based data patterns structures, assessment, repaying likelihood prediction, interest lending economic forecast-based analysis payment record infrastructures. Methods: published between 2023 2024 was identified analyzed ProQuest, Scopus, Web Science databases use screening quality software such as Abstrackr, AMSTAR, AXIS, CADIMA, CASP, Catchii, DistillerSR, Eppi-Reviewer, MMAT, Nested Knowledge, PICO Portal, Rayyan, ROBIS, SRDR+. Findings & value added: The main added derived from systematic literature review is AI-based services clarify decisions operations dynamic business environments capabilities assessment. benefits theory current state art AI technologies deployed optimization, score fraudulent Policy implications reveal streamline activity efficiency, design forecasting, carry out informed incident taking into account history evaluation improving experiences.

Language: Английский

Drivers of generative AI adoption in higher education through the lens of the Theory of Planned Behaviour DOI Creative Commons
Stanislav Ivanov, Mohammad Soliman, Aarni Tuomi

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 77, P. 102521 - 102521

Published: March 25, 2024

Drawing on the Theory of Planned Behaviour (TPB), this study investigates relationship between perceived benefits, strengths, weaknesses, and risks generative AI (GenAI) tools fundamental factors TPB model (i.e., attitude, subjective norms, behavioural control). The also structural association variables intention to use GenAI tools, how latter might affect actual usage in higher education. paper adopts a quantitative approach, relying an anonymous self-administered online questionnaire gather primary data from 130 lecturers 168 students education institutions (HEIs) several countries, PLS-SEM for analysis. results indicate that although lecturers' students' perceptions weaknesses differ, strengths advantages technologies have significant positive impact their attitudes, control. core positively significantly intentions which turn adoption such tools. This advances theory by outlining shaping HEIs. It provides stakeholders with variety managerial policy implications formulate suitable rules regulations utilise these while mitigating impacts disadvantages. Limitations future research opportunities are outlined.

Language: Английский

Citations

72
Exploring the competence of ChatGPT for customer and patient service management DOI Creative Commons
Abid Haleem, Mohd Javaid, Ravi Pratap Singh

et al.

Intelligent Pharmacy, Journal Year: 2024, Volume and Issue: 2(3), P. 392 - 414

Published: March 23, 2024

The modern language generation model ChatGPT, created by Open Artificial Intelligence (AI), is recognised for its capacity to comprehend context and produce pertinent content. This built on the transformer architecture, which enables it process massive volumes of data text that both cohesive illuminating. Service a crucial component everywhere as provides basis establishing client rapport offering aid support. In healthcare, application ChatGPT patient service support has been one most significant advances in recent years. can help overcome obstacles improve satisfaction facilitating communication with healthcare personnel understanding care. It assist enhancing entire experience personalised information patients making more straightforward them communicate professionals. Its goal be expedite streamline promptly accurately responding customers. Businesses all sizes increasingly use since allows provide 24/7 customer without requiring human contact. paper briefly discusses need better services. Various perspectives improving services through are discussed. article also discussed major key enablers refining assistance. Further, identifies critical areas service. With ability handle several requests simultaneously, respond quickly questions, gain knowledge from every interaction, revolutionising accessibility compatibility various channels make desirable solution businesses looking As technology advances, positioned become an essential tool wishing speedy customised Although may give convincing solutions, chance providing accurate updated poses problem usage jobs up-to-date information. future, will efficient due AI.

Language: Английский

Citations

8
From hot pot to high tech: Haidilao’s transformation through digital technologies for sustainable business in the restaurant industry DOI Creative Commons
Chin Moi Loh, Arif Perdana, Kuan-Huei Lee

et al.

Journal of Information Technology Teaching Cases, Journal Year: 2024, Volume and Issue: unknown

Published: March 20, 2024

The pandemic has brought many challenges to the restaurant industry but highlighted importance of embracing digital transformation that enhances organisations’ competitive advantage and sustainable business. success story Haidilao, a popular hot pot restaurant, inspires those striving overcome difficulties learn from their journey. By staying adaptable, proactive customer-focused, Haidilao leveraged platforms offer new innovative services, such as an online ordering delivery, intelligent kitchen, WeChat strategy even Cloud Video Conferencing Service enhance attractiveness dining experience. Haidilao’s demonstrates power innovation customer-centricity in driving successful transformations for business industry.

Language: Английский

Citations

4
Analysis of the evolution in the number of manufacturing companies in Portugal between 2009 and 2021 to understand growth and decline trends DOI Open Access

A. Rocha,

E T Sule,

David Braga Fernandes de Oliveira

et al.

Journal of Infrastructure Policy and Development, Journal Year: 2025, Volume and Issue: 9(1), P. 9417 - 9417

Published: Jan. 14, 2025

This project analyzes the evolution of manufacturing sector in Portugal from 2009 to 2021, focusing on variations number active companies across various subcategories, such as food, textiles, and metal product industries. The goal this analysis is understand dynamics growth contraction within each sector, providing insights for adjust their market operational strategies. Key objectives include analyzing overall companies, identifying subcategories with notable changes, a comprehensive observed trends patterns. study based data PORDATA 2024, research employs temporal trend analysis, linear quadratic regression, Pareto representation identify patterns decline. By comparing annual data, uncovers periods decline, allowing deeper understanding sector’s dynamics. findings also highlight economic crises during Covid-19 pandemic, recommendations action are presented support businesses resilience continuity. These results valuable sectors analyzed policy makers, guiding strategic decisions navigate complexities ensuring long-term organizational sustainable success.

Language: Английский

Citations

0
Explore the anthropomorphism of service bots in tourism: A MASEM analysis based on stereotype content model DOI

F. Zhang,

Zihan Zhou, Dongfang Sheng

et al.

Current Issues in Tourism, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21

Published: April 8, 2025

Language: Английский

Citations

0
FinTech Digital Transformation: Generative AI, Humanoid Robots, Metaverse, Human-AI Collaboration, and Industry 5.0 DOI
Yuxin Liu, R. Wang, Keng Siau

et al.

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 122 - 136

Published: Jan. 1, 2025

Language: Английский

Citations

0
Dining with robots: exploring the customer willingness to adopt service robots in restaurants DOI

Himanshu Himanshu,

Anushka Goel, Sanjay Dhingra

et al.

Industrial Management & Data Systems, Journal Year: 2025, Volume and Issue: unknown

Published: April 25, 2025

Purpose With the increasing integration of service robots in daily life, study aims to identify factors affecting willingness adopt restaurant settings. Design/methodology/approach To examine robots, this gathered data from 338 respondents. The have been analyzed using partial least squares structural equation modeling (PLS-SEM) test measurement model and proposed hypothesis. Findings findings revealed that, out lead enjoyment, social presence is most significant factor, followed by appearance anthropomorphism. Regarding attitude, precision factor perceived intelligence, personalization automation. In context trust, privacy malfunction. finds no impact anxiety on trust. case customer engagement, attitude enjoyment Lastly, confirms moderating robot quality relationship between engagement robots. Practical implications These offer valuable insights for providers, technology developers, training manufacturers, marketers, restaurants policymakers develop more effective strategies offering services restaurants. Originality/value This provides a comprehensive understanding both positive negative Furthermore, research important role as moderator association

Language: Английский

Citations

0
Robotic dining delight: Unravelling the key factors driving customer satisfaction in service robot restaurants using PLS-SEM and ML DOI Creative Commons
Vinod Sharma, Manohar Kapse, Jeanne Poulose

et al.

Cogent Business & Management, Journal Year: 2023, Volume and Issue: 10(3)

Published: Nov. 18, 2023

In the past few years there has been a remarkable surge in demand for robot service restaurants. However, as both technology and concept of such restaurants are relatively new, is limited understanding how consumers would react to this new change industry. This study focuses on key factors influencing customer satisfaction their intention repeat experience by using two staged hybrid PLS-SEM Machine Learning approaches. The finding confirms that perceived enjoyment, speed, novelty influence satisfaction, whereas usefulness no influence. Additionally, uncovers trust positively mediate relationship establish link with experience. machine learning models (Artificial Neural Network, Support Vector Machines, Random Forest, K-Nearest Neighbors, Elastic Net) predict an overall model fit around 57%. We also discussed several useful theoretical practical implications enhancing during visit

Language: Английский

Citations

5
Exploring AI's Role in Supporting Diversity and Inclusion Initiatives in Multicultural Marketplaces DOI Creative Commons
Dwi Mariyono,

Akmal Nur Alif Hidayatullah

International Journal of Religion, Journal Year: 2024, Volume and Issue: 5(10), P. 5549 - 5582

Published: Aug. 7, 2024

This paper explores the relationship between diversity, inclusion, and artificial intelligence (AI) in multicultural workplaces markets. Growing recognition of value diversity inclusion (D&I) initiatives is changing organizational practices globally. Despite progress, challenges such as unconscious bias, resistance to change, difficulty measuring progress still exist.This study based on a comprehensive literature review that adheres academic ethical standards. These findings highlight potential AI improve recruitment processes, personalize marketing strategies, develop inclusive technologies. However, bias algorithms limited data need be addressed.The emphasizes for frameworks, diverse representation development, transparency use promote justice. has foster more equitable society by encouraging inclusion. Further research needed explore long-term impact frameworks tailored different industries cultural contexts.The also how can support D&I providing data-driven insights, automating offering personalized interventions reduce increase inclusivity. By reviewing recent case studies, this offers practical recommendations leveraging efforts, aiming build workplace culture.

Language: Английский

Citations

1
Human-Machine Engagement (HME): Conceptualization, Typology of Forms, Antecedents, and Consequences DOI Creative Commons
Jaylan Azer, Matthew Alexander

Journal of Service Research, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 4, 2024

Artificial intelligence (AI) applications in customer-facing settings are growing rapidly. The general shift toward robot- and AI-powered services prompts a reshaping of customer engagement, bringing machines into engagement conceptualizations. In this paper, we build on service research around AI, incorporating computer science, socio-technical systems perspective to conceptualize human-machine (HME), offering typology nomological network antecedents consequences. Through three empirical studies, develop four distinct forms HME (informative, experimenting, praising, apprehensive), which differ valence intensity, underpinned by both emotional (excitement) cognitive (concern, advocacy) drivers. We offer evidence reveals how these lead different personality-related outcomes for other users (perceived value HME, perceived risk, affinity with HME) providers (willingness implement services, HME). also reveal vary the presence absence competitor pressure. Our findings broaden scope include non-human actors suggest strategic tactical guidance currently using and/or seeking use generative AI (GenAI) alongside an agenda direct future studies HME.

Language: Английский

Citations

1