AI and cybersecurity, business protection in an interconnected world: systematic literature review DOI
Iris María Cantillo Velásquez,

Jhon Wolfgang Echeverry David,

Yerlis Patricia Martínez Taborda

et al.

Management, Journal Year: 2024, Volume and Issue: 3, P. 116 - 116

Published: Oct. 8, 2024

In an increasingly interconnected world, cyber threats are constantly evolving, with malicious actors developing sophisticated methods to attack enterprise systems. Traditional cybersecurity methods, such as firewalls and antivirus software, insufficient protect organizations from these advanced threats. A more proactive approach is needed identify stop before they cause significant damage. This research seeks understand the current state of artificial intelligence (AI) in cybersecurity, best practices methodologies for implementing effective AI solutions. To do this, authors were based on a systematic review literature, adopting AI, business protection fundamental categories. The search was mainly databases engines Scopus, Science Direct Redalyc. processed information graphed through VOSviewer software Lens.org platform. usefulness applications evident. entails challenge updating tools order achieve greater security users

Language: Английский

Integrating sustainability into cybersecurity: insights from machine learning based topic modeling DOI Creative Commons
Krishnashree Achuthan, Sriram Sankaran, Swapnoneel Roy

et al.

Discover Sustainability, Journal Year: 2025, Volume and Issue: 6(1)

Published: Jan. 21, 2025

Language: Английский

Citations

3

Entrepreneurial strategies for sustainable growth: a deep dive into cloud-native technology and its applications DOI Creative Commons

T. A. Alka,

Aswathy Sreenivasan,

M. Suresh

et al.

Future Business Journal, Journal Year: 2025, Volume and Issue: 11(1)

Published: Feb. 5, 2025

Abstract The study highlights the impact of cloud-native technology in entrepreneurship for innovative business models, scalability, and cost efficiency by combining trends including microservices, serverless computing, disruptions. attempts to examine role affects entrepreneurial landscape creating advancing models approaches, difficulties while applying technology. systematic literature review based on PRISMA is used explore its applications analyzing selected 111 studies from Scopus, Web Science, Dimensions, ProQuest. identified that one main forces behind disruption quick development new technologies blockchain, 5G, IoT, quantum AI. Cloud-native supports such as SaaS, managed Kubernetes, data analytics platforms, BaaS, Edge Computing. urgency incorporate develop security features tools measurement necessary. shows startups can use rely subscription services, on-demand cloud services which are providing opportunities. findings highlight need entrepreneurs utilize emerging meet competition, there a requirement continuous investment analytics, automation, solutions, technologies. Collaboration essential application early stage enterprises. Incubators, accelerators, venture capital firms support adoption disruptive policymaker's enterprises' focus actionable intervention necessary developing mechanisms solve barriers regulatory compliance, lack skilled manpower, security, privacy issues, upfront success.

Language: Английский

Citations

1

The Transformative Power of Generative Artificial Intelligence for Achieving the Sustainable Development Goal of Quality Education DOI Open Access
Prema Nedungadi, Kai–Yu Tang, Raghu Raman

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(22), P. 9779 - 9779

Published: Nov. 9, 2024

This study explored the transformative potential of generative artificial intelligence (GAI) for achieving UN Sustainable Development Goal on Quality Education (SDG4), emphasizing its interconnectedness with other SDGs. A proprietary algorithm and cocitation network analysis were used to identify analyze SDG features in GAI research publications (n = 1501). By examining GAI’s implications ten SDG4 targets, findings advocate a collaborative, ethical approach integrating GAI, policy practice developments that ensure technological advancements align overarching goals SDG4. The results highlight multifaceted impact First, this paper outlines framework leverages enhance educational equity, quality, lifelong learning opportunities. highlighting synergy between SDGs, such as reducing inequalities (SDG10) promoting gender equality (SDG5), underscores need an integrated utilizing GAI. Moreover, it advocates personalized learning, equitable technology access, adherence AI principles, fostering global citizenship, proposing strategic alignment applications broader agenda. Next, introduces significant challenges, including concerns, data privacy, risk exacerbating digital divide. Overall, our underscore critical role reforms innovative practices navigating challenges harnessing opportunities presented by education, thereby contributing comprehensive discourse technology’s advancing education sustainable development.

Language: Английский

Citations

7

Research on the evaluation of China’s Supply Chain Finance policy based on text mining DOI Creative Commons

M. Li,

Yin Dong

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(3), P. e0317743 - e0317743

Published: March 10, 2025

Supply Chain Finance (SCF) aims to manage the capital flow, logistics and information flow of small medium-sized enterprises (SMEs) in upstream downstream supply chain while optimizing risk control. Like other types financial services, development SCF is highly influenced by policy factors; however, related research remains relatively limited. This study explore current state policymaking China provide scientific recommendations for from a perspective. First, using BERTopic model, 3,439 SCF-related academic papers 181 central-level texts CNKI database were analyzed thematic clustering. Then, comprehensively considering distribution operational characteristics SCF, Policy Modeling Consistency (PMC) Index model was constructed evaluate texts. The findings reveal several issues China’s policymaking: limited focus, fluctuating levels formulation, significant homogenization content. proposes optimization policies, including expanding scope fostering synergy among different diversifying use tools, broadening range target groups addressed policies.

Language: Английский

Citations

0

Artificial intelligence adoption dynamics and knowledge in SMEs and large firms: A systematic review and bibliometric analysis DOI
Samuel Godadaw Ayinaddis

Journal of Innovation & Knowledge, Journal Year: 2025, Volume and Issue: 10(3), P. 100682 - 100682

Published: March 23, 2025

Language: Английский

Citations

0

Effects of Generative Artificial Intelligence on K-12 and Higher Education Students’ Learning Outcomes: A Meta-Analysis DOI
Xiaohong Liu,

B. J. Guo,

Wei He

et al.

Journal of Educational Computing Research, Journal Year: 2025, Volume and Issue: unknown

Published: April 11, 2025

Generative artificial intelligence (GenAI) has significant potential for educational innovation, although its impact on students’ learning outcomes remains controversial. This study aimed to examine the of GenAI K-12 and higher education students, explore moderating factors influencing this impact. A meta-analysis 49 articles showed that mean effect sizes achievement motivation were 0.857 0.803, respectively, indicating a positive education. However, varied according moderators, including level, subject classification, interface, development, interaction approaches, experimentation time, which enhanced Specifically, had greater academic performance students interacted more effectively with using text than mixed media, such as images or audio. Although novel motivation, size decreases over time. These findings provide empirical support beneficial effects offer insights optimizing use in teaching practices.

Language: Английский

Citations

0

AI integration in financial services: a systematic review of trends and regulatory challenges DOI Creative Commons
Darko Vuković,

Senanu Dekpo-Adza,

Stefana Matović

et al.

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 22, 2025

Language: Английский

Citations

0

Topic Mining and Evolution Trend Analysis of Fintech Research Based on the Bertopic Model DOI
Yun He, Yuchen Sun,

J Wang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Exploring the trajectory of migrant entrepreneurship research: BERTopic modeling DOI

T. A. Alka,

M. Suresh,

Raghu Raman

et al.

Journal of Organizational Change Management, Journal Year: 2025, Volume and Issue: unknown

Published: March 21, 2025

Purpose This study aims to explore migrant entrepreneurship research understand its evolution and growing impact. exploration is through a systematic approach analyzing existing works identify the most crucial themes. The focus on themes for building future effectively captures ecosystem provides state-of-the-art literature. Design/methodology/approach 2,142 documents from Scopus database 1995 2024 were considered BERTopic modeling after applying exclusion inclusion criteria guided by PRISMA. Findings Cultural evolution, market changes capital forms influenced transition ethnic enclaves cross-cultural operations developed over years. They face challenges related identity, gender ethnicity. also highlights importance of transnational networks in resource mobility, financial integration immigrant transnationalism. diaspora entrepreneurs promote economic growth, including foreign direct investment connections enhance innovation home nations. governance structure must be flexible, their interaction with significant. international standards decisive critical entrepreneurs. Originality/value novelty this lies comprehensive examination literature understanding current context. underexplored or unexplored areas, particularly resilience refugee mobilization, entrepreneurship, bridging cultural institutional divides, etc. are identified examined.

Language: Английский

Citations

0

Detecting Latent Topics and Trends in IoT and E-Commerce Using BERTopic Modeling DOI
Yusheng Su, Junqing Wang,

Shou-Hsi Tu

et al.

Internet of Things, Journal Year: 2025, Volume and Issue: unknown, P. 101604 - 101604

Published: April 1, 2025

Language: Английский

Citations

0