Exploring the role of artificial intelligence technology in empowering women-led startups DOI Creative Commons
Sultan Alateeg, Sura I. Al-Ayed

Knowledge and Performance Management, Journal Year: 2024, Volume and Issue: 8(2), P. 28 - 38

Published: Oct. 2, 2024

The study aims to investigate how artificial intelligence (AI) influences women-led startups in Saudi Arabia, aiming understand their unique experiences, challenges, and opportunities within the AI technology landscape. This used a qualitative method, conducting 16 in-depth interviews with women entrepreneurs operating businesses Arabia. analysis was performed using thematic NVivo 12, uncovering key themes insights. findings reveal that cultural norms, societal expectations, limited awareness, financial constraints are directly associated women’s involvement AI-driven businesses. Cultural biases emerged as impediments, underscoring need for targeted interventions such awareness campaigns educational initiatives dismantle ingrained foster an environment recognizes celebrates contributions of tech sectors. Educational programs, collaborations between academia industry, mentorship were identified pivotal components prepare navigate intricate landscape adoption. Financial inclusion critical pillar, advocating equitable access funding resources tailored specifically startups. further emphasizes importance fostering supportive ecosystems extend beyond aid. Creating networks mentorship, guidance, collaboration provides platforms share experiences resources, enhancing resilience potential success Acknowledgment authors appreciation Arab Open University this work through research fund No. AOUKSA-524008.

Language: Английский

A Survey of Bias and Fairness in Healthcare AI DOI
Ibomoiye Domor Mienye, George Obaido, Ikiomoye Douglas Emmanuel

et al.

2022 IEEE 10th International Conference on Healthcare Informatics (ICHI), Journal Year: 2024, Volume and Issue: unknown, P. 642 - 650

Published: June 3, 2024

Language: Английский

Citations

3

Investigating the Role of Artificial Intelligence to Measure Consumer Efficiency: The Use of Strategic Communication and Personalized Media Content DOI Creative Commons

Saud Binlibdah

Journalism and Media, Journal Year: 2024, Volume and Issue: 5(3), P. 1142 - 1161

Published: Aug. 21, 2024

This study examines the relationships between strategic communication, personalized media content, AI, and consumer service efficiency in social marketing companies Saudi Arabia. The used a cluster sampling technique with quantitative research design. targeted 498 responses via distributing survey links on platforms. Using SEM analysis Smart PLS 4, this tested hypotheses. findings showed that communication significantly improves content efficiency, confirming its importance business customer interactions outcomes. Customized does not improve suggesting other mediating factors may be involved. AI mediates relationship, bridging inputs boosts improving efficiency. results fully into improved demonstrating transformative potential communications operations. shows supports digital strategies. It is statistical evidence confidence intervals exclude zero, AI-enabled application of directives to mediation analysis.

Language: Английский

Citations

2

Harnessing digital technologies for triple bottom line sustainability in the banking industry: a bibliometric review DOI Creative Commons
Megha Garg,

Parveen Kumar

Future Business Journal, Journal Year: 2024, Volume and Issue: 10(1)

Published: June 12, 2024

Abstract The interconnection between the consequences of digital technologies and their impact on triple bottom line sustainability in banking industry has emerged as a dynamic, multidisciplinary, eclectic research area global significance. Nevertheless, applying systematic literature network analysis this field not yet been attempted. Therefore, paper aims to investigate academic by integrating different knowledge systems. To conduct comprehensive analysis, study employed contextualized review bibliometric approaches method make inferences from 154 publications obtained Scopus Web Science databases for years 2012–2024 using biblioshiny tool. study’s findings exhibited noticeable upsurge trends last five years. With 64 publications, 2023 was most productive year, 2018 had influence with 188 citations. China, Italy, Spain, Egypt, Malaysia were countries regarding citation performance. This highlights counterintuitive connection digitalization, financial inclusion, sustainability, fintech, sustainable development providing support recent reflect current developments field. themes encountered here are crucial regulators practitioners who aim capitalize mutually reinforcing nature two phenomena industry.

Language: Английский

Citations

1

The Role of Information Governance in Mitigating Financial Crime Risks in Stablecoin Transactions DOI Open Access
Olalekan Jamiu Okunleye

Journal of Engineering Research and Reports, Journal Year: 2024, Volume and Issue: 26(7), P. 317 - 333

Published: July 3, 2024

This study investigates the role of information governance in mitigating financial crime risks stablecoin transactions. Using a variety analytical techniques, including simple linear regression, sentiment analysis with NLP tools, logistic and machine learning models, research evaluates impact on innovation, user trust, crimes, effectiveness combined compliance measures. The findings indicate that strict regulations reduce innovation but enhance market stability trust. Robust correlates strongly increased adoption, while higher anonymity features stablecoins are linked to incidence crimes. Integrating KYC/AML transaction monitoring significantly improves detection prevention crimes compared standalone approaches. These insights provide valuable guidance for policymakers, regulatory authorities, institutions develop strategies balance enhanced security market.

Language: Английский

Citations

1

Deep Convolutional Neural Networks: A Comprehensive Review DOI Open Access
Ibomoiye Domor Mienye, Theo G. Swart, George Obaido

et al.

Published: Aug. 19, 2024

Deep convolutional neural networks (CNNs) have revolutionised computer vision technology by automatically learning hierarchical representations of image data, leading to state-of-the-art performance in visual recognition tasks. This article presents a comprehensive review deep CNNs, from their evolution and architectures the current research. The also provides core concepts building blocks CNNs concise mathematical representations. Furthermore, it explores applications three popular domains, including medical diagnosis, remote sensing, facial recognition. will benefit researchers practitioners artificial intelligence, as well industry professionals seeking leverage latest advancements technologies.

Language: Английский

Citations

1

Attitude Towards AI: Potential Influence of Conspiracy Belief, XAI Experience and Locus of Control DOI Creative Commons
Areej Babiker, Sameha Alshakhsi, Dena Al-Thani

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: Oct. 4, 2024

Language: Английский

Citations

1

The Impact of RegTech on Compliance Costs and Risk Management from the Perspective of Saudi Banks’ Employees DOI Open Access
Lotfi Zabat, Naima Sadaoui, Houcine Benlaria

et al.

WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS, Journal Year: 2024, Volume and Issue: 21, P. 1200 - 1216

Published: May 17, 2024

Through this research, we will be analyzing the Effect of RegTech on Compliance Costs and Risk Management in Banking Sector, mainly with eye people administrative roles Saudi Banks, a total 232. A new technological trend is reshaping financial industry, RegTech, marked by various advanced processes automation. The main findings show that significantly reduces compliance costs, confirming its cost-saving potential. Therefore, Employee perceptions are critical to integrating adopting within business operations. In addition, improves risk management systems more accessible procedures better internal controls. This proves RegTech’s ability improve banking strengthen system. Proportional organizational support, tool investments, diversity interactions moderated, operational efficiency enhanced. research contributes profound knowledge implication sector, which facilitates transformation through renewed practices industry alongside efficiency.

Language: Английский

Citations

0

Artificial Intelligence in Fintech: Emerging Trends and Use Cases DOI

Mohammad Nadeem Ahmed,

Abhijeet Anand,

Mohammad Rashid Hussain

et al.

Published: July 11, 2024

Language: Английский

Citations

0

Investing the Role of Artificial Intelligence in Advanced Sustainable Development Goals: Evidence from Banks in Bahrain DOI

Sara Fardan,

Allam Hamdan, Mohammad Kanan

et al.

Studies in systems, decision and control, Journal Year: 2024, Volume and Issue: unknown, P. 925 - 934

Published: Jan. 1, 2024

Language: Английский

Citations

0

ARTIFICIAL INTELLIGENCE INVESTMENT, REALISTIC REPORTS, AND FINANCIAL LOSS DOI

Korhan Arun

Denetişim, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 24, 2024

During audit planning, auditors examine the business of their firms. Still, target is to minimize discrepancy in real planned financial statement inspection and summary reports internal audits. On other hand, expenditures on artificial intelligence have been increasing Turkish firms; according National Artificial Strategy document, AI will be part every organizational process, including Moreover, literature supports a positive relationship between audits firms’ decreasing capital loss. So, this research aims analyze expenditures, reports, historical To reach aim, suitable data was analyzed from 732 incorporated companies that are members Chamber Trade Industry/Tekirdag/Turkey. Structural equation modeling results show investments decrease statements (β=-0.045). discrepancies found compared losses by almost 10% (β=.118). In words, investing contributes more realistic resulting fewer losses. From perspective, study one leading studies connects investment performance

Language: Английский

Citations

0