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International Journal of Data and Network Science
Scopus
ISSN 2561-8148 · Growing Science · 988 artikel di indeks
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Artikel Jurnal Teks lengkap
Exploring the role of digital marketing and brand image on the decisions to visit tourists to improve the community's economy in Indonesi
This research aims to analyze the relationship between brand image and visiting decisions, digital marketing and visiting decisions, and brand image with digital marketing. This research method is quantitative through surveys, research data was obtained by distributing online questionnaires to 489…
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Determinants of smart government continuous use: A two-staged structural equation modeling-artificial neural network approach
This study aimed to develop and empirically validate an integrated model for continuous smart government service usage. This model integrates constructs from the unified theory of acceptance and use of the technology framework with the expectation-confirmation model, along with an additional…
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The role of managerial capability on operational performance through supply chain digitalization and adaptability
Changes in the global business environment constrain companies to adopt digital technology to enhance their performance and competitiveness. This study aims to analyze the role of managerial capability on operational performance through supply chain digitalization and supply chain adaptability in…
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AI integration and employment in construction: Exploring positive and destructive effects through a PLS-SEM lenss
This research examines how artificial intelligence (AI) integration has affected employment in China’s construction industry. This research builds on the theories of skill-biased technological change and creative destruction to study how AI influences both positive and negative employment effects…
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The role of digital industrial strategy and human creativity in transformational technopreneurship development
The purpose of this study is to analyze the relationship between industrial digital strategy in the area of transformational technopreneurship development and analyze the relationship between human creativity in the area of transformational technopreneurship development. This study uses a…
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From digital culture to digital transformation: Examining the roles of digital leadership and technological supports
This research explores the complicated relationship between digital culture and digital transformation, specifically examining the mediating role of digital leadership and the moderating influence of technological support. A robust methodological approach was employed; the sample size of 385…
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Deep learning-driven multi-layer intrusion detection and prevention framework for resilient defense against adaptive evasion techniques in modern networks
Current network security technologies face new threats from determined attackers employing advanced evasion techniques such as IP spoofing, tiny fragment attacks, tunneling, and HTML smuggling. Conventional intrusion detection and prevention systems (IDS/IPS) have significant limitations in…
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The big data analytics to digital marketing path strengthened by knowledge management
This study investigates the impact of Big Data Analytics (BDA) on digital marketing performance, with a particular focus on the mediating role of Knowledge Management (KM). As organizations increasingly adopt BDA to enhance marketing intelligence, customer engagement, and strategic decision-making…
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Deepfake crimes in the age of AI: A bibliometric study of emerging risks and research trends
This study presents a bibliometric analysis of scholarly research on deepfake crimes in the age of AI, examining emerging risks and research trends between 2019 and 2025. Drawing on 349 publications from the Web of Science Core Collection, the study uses VOSviewer to map publication patterns…
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Client-side runtime integrity agent for detecting man-in-the-browser attacks using forensic monitoring and anomaly detection
Man-in-the-Browser (MitB) attacks represent a sophisticated class of web-based threats that manipulate browser functionality to intercept and modify user transactions in real-time. Traditional server-side detection mechanisms often fail to identify these attacks due to their client-side nature and…
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Social and technical enablers of AI integration: Implications for innovative workplace behavior in the UAE
This study investigates the social and technical factors influencing the adoption of Artificial Intelligence (AI) technologies within organizations and examines how these factors impact innovative workplace behaviour. Drawing on a combination of organizational culture, leader humility, work…
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The effect of influencers on consumers' purchasing intention of Jordanian entrepreneurs' start-ups
Nowadays, influencers play a crucial role in product and/or service promotion as well as in purchase intention and decision-making. Therefore, the present study aims to explore the effect of influencers on consumers' purchasing intention of Jordanian entrepreneurs' start-ups. The research paper…
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Multi-class classification of heart sounds using enhanced bidirectional short-term memory metho
The importance of early detection programs in improving the nation's overall health cannot be overemphasized. Conventional phonocardiogram (PCG) signals have been used a lot in this field of research because they are cheap and easy to use. The proposed convolutional neural network-based model…
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The transformative power of tech investment: Measuring growth, diversification, and firm outcomes
We examine the asymmetric effects of national technology-driven diversification policies on firm-level profitability in the Gulf Cooperation Council (GCC), addressing a critical gap in the microeconomic literature on the region's transition from hydrocarbons. Using a dynamic panel dataset of 63…
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The role of artificial intelligence adoption in developing e-marketing strategies and increasing return on investment
This study investigates the role of artificial intelligence (AI) adoption in developing e-marketing strategies and enhancing return on investment (ROI) in Jordanian businesses. By analyzing responses from 300 business professionals, the study applies structural equation modeling to test eight…
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Performance and adoption of a PWA-based omnichannel application for MSMEs: Insights from SinariUMKM
The rapid growth of social media use among micro, small, and medium enterprises (MSMEs) in Indonesia has created new opportunities for digital marketing. Yet, fragmented platform management remains a significant challenge. While previous studies highlight the efficiency of cross-platform…
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The influence of e-CRM, e-WOM, and e-service quality on the e-loyalty of online consumers
The purpose of this study is to analyze the relationship between e-CRM (Electronic Customer Relationship Management) variables on e-Loyalty of online shop customers, e-WOM (electronic word-of-mouth) on e-Loyalty of online shop customers, and e-service quality on e-Loyalty of online shop customers…
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Four parameter beta GLMM Bayesian inference approach: Improving paddy productivity predictions for area yield index crop insurance
Paddy is a staple crop and a vital component of Indonesia's agriculture, significantly contributing to food security and rural livelihood. Nevertheless, paddy cultivation is highly vulnerable to risks such as pests, diseases, extreme weather, and natural disasters, which can lead to significant…
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Decoding online shopping adoption in Saudi Arabia: The role of trust and user experience
The current paper discusses the factors, which affect consumer acceptance of online shopping platforms in Saudi Arabia. It examined this by the Unified Theory of Acceptability and Use of Technology (UTAUT2) model and the other factors of trust and user experience. The present paper has assessed how…
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Reynold number as a mathematical mechanism for detecting the distributed denial of service HTTP flooding attacks
A distributed denial of service (DDoS) attack is a highly destructive form of organized cyber-attack that targets network computers or online services. Despite the availability of numerous systems for detecting DDoS attacks, the problem remains. This paper proposes the use of mathematical methods…