Digital transformation as a catalyst for business model innovation: A critical review of impact and implementation strategies

Magna Scientia Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 10(2), P. 256 - 264

Published: April 27, 2024

In today's fast-paced and highly competitive business environment, digital transformation has emerged as a crucial driver of organizational success. This paper presents comprehensive review the intersection between model innovation, examining impact implementation strategies associated with this transformative process. The study begins by elucidating concept its significance in reshaping traditional models. It explores how advancements technologies, such artificial intelligence, big data analytics, Internet Things, have revolutionized various aspects operations, including customer engagement, operational efficiency, revenue generation. Furthermore, critically evaluates on emphasizing need for organizations to adapt evolve response changing market dynamics consumer preferences. Through systematic analysis relevant literature case studies, highlights key drivers, challenges, opportunities inherent leveraging technologies drive innovation. Moreover, examines different adopted effectively integrate initiatives into their existing discusses importance strategic planning, culture, leadership commitment driving successful initiatives. Overall, critical contributes deeper understanding role catalyst provides valuable insights practitioners, policymakers, researchers seeking navigate complex landscape disruption capitalize emerging growth competitiveness.

Language: Английский

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Is Digital Transformation the Key to Agricultural Strength? A Novel Approach to Productivity and Supply Chain Resilience

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100838 - 100838

Published: Feb. 1, 2025

Language: Английский

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AI-powered blockchain technology in industry 4.0, a review

Journal of Economy and Technology, Journal Year: 2023, Volume and Issue: 1, P. 222 - 241

Published: Nov. 1, 2023

Artificial Intelligence (AI) algorithms can be employed to enhance the security of blockchain networks in era industry 4.0. Smart contracts, powered by blockchain, developed using AI capabilities. These contracts execute themselves based on predefined conditions, automating various processes and reducing need for intermediaries. Blockchain provides a transparent immutable ledger supply chain transactions. integrated analyze this data, providing insights into entire chain. This helps tracking tracing products, ensuring authenticity, optimizing data-driven decisions. data from manufacturing process recorded blockchain. allows predictive maintenance quality control, helping identify address issues before they result defects or downtime. work together secure massive amount generated IoT devices an Industry 4.0 setting. ensures integrity immutability while optimization. facilitate creation decentralized energy grids where optimize distribution trading through smart contracts. support collaborative different entities securely efficiently collaborate production processes. enables individuals organizations monetize their data. help determine value fair compensation tokenized ecosystems. In paper, applications AI-Powered Technology is reviewed discussed future research works are also suggested. As result, efficiency, transparency, across industrial enhanced analyzing recent achievements

Language: Английский

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Harnessing Machine Learning Intelligence Against Cyber Threats

Advances in business strategy and competitive advantage book series, Journal Year: 2024, Volume and Issue: unknown, P. 319 - 352

Published: Aug. 28, 2024

The spread of cyberthreats in the digital age presents serious concerns to national security, stability economy, and personal privacy. Traditional security methods are unable keep up with increasing sophistication size cyberattacks. With facilitating quick identification mitigation cyberthreats, machine learning (ML) has revolutionary potential improve cybersecurity measures. But applying ML this field also brings important moral legal issues, particularly light international cybercrimes. This chapter comprehensively explores learning's dual nature cybersecurity, emphasizing both its advantages disadvantages. It talk about state cyber threats today, how is being incorporated into ramifications using investigations.

Language: Английский

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Blockchain-based IoT security solutions for IDS research centers

Internet of Things, Journal Year: 2024, Volume and Issue: 27, P. 101307 - 101307

Published: Aug. 6, 2024

Language: Английский

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Variance‐driven security optimisation in industrial IoT sensors

IET Networks, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 16, 2024

Abstract The Industrial Internet of Things (IIoT) has transformed industrial operations with real‐time monitoring and control, enhancing efficiency productivity. However, this connectivity brings significant security challenges. This study addresses these challenges by identifying abnormal sensor data patterns using machine learning‐based anomaly detection models. proposed framework employs advanced algorithms to strengthen defences against cyber threats disruptions. Focusing on temperature anomalies, a critical yet often overlooked aspect security, research fills gap in the literature evaluating learning models for purpose. A novel variance‐based model is introduced, demonstrating high efficacy accuracy scores 0.92 0.82 NAB AnoML‐IOT datasets, respectively. Additionally, achieved F1 0.96 0.89 underscoring its effectiveness IIoT optimising cybersecurity processes. not only identifies vulnerabilities but also presents concrete solutions improve posture systems.

Language: Английский

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Deep learning technology: enabling safe communication via the internet of things

Frontiers in Communications and Networks, Journal Year: 2025, Volume and Issue: 6

Published: Feb. 4, 2025

Introduction The Internet of Things (IoT) is a new technology that connects billions devices. Despite offering many advantages, the diversified architecture and wide connectivity IoT make it vulnerable to various cyberattacks, potentially leading data breaches financial loss. Preventing such attacks on ecosystem essential ensuring its security. Methods This paper introduces software-defined network (SDN)-enabled solution for vulnerability discovery in systems, leveraging deep learning. Specifically, Cuda-deep neural (Cu-DNN), Cuda-bidirectional long short-term memory (Cu-BLSTM), Cuda-gated recurrent unit (Cu-DNNGRU) classifiers are utilized effective threat detection. approach includes 10-fold cross-validation process ensure impartiality findings. most recent publicly available CICIDS2021 dataset was used train hybrid model. Results proposed method achieves an impressive recall rate 99.96% accuracy 99.87%, demonstrating effectiveness. model also compared benchmark classifiers, including Cuda-Deep Neural Network, Cuda-Gated Recurrent Unit, (Cu-DNNLSTM Cu-GRULSTM). Discussion Our technique outperforms existing based evaluation criteria as F1-score, speed efficiency, accuracy, precision. shows strength detection highlights potential combining SDN with learning assessment.

Language: Английский

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Unlocking the potential: exploring the drivers behind blockchain and its influence on SMEs performance within TOE framework

The TQM Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Purpose This study aims to identify the factors influencing blockchain adoption and assess its impact on financial market performance of small medium-sized enterprises (SMEs) in Oman, utilizing Technology–Organization–Environment (TOE) framework. Design/methodology/approach The nature is explanatory based data gathered from 282 SME owners managers/employees using a convenience sampling method. After examining construct validity reliability, Partial Least Squares with Structural Equation Modelling was used examine proposed model study. Findings results indicate that all determinants, including Cost Concerns, Top Management Support, Relative Advantage, Technology Compatibility, Security Concerns Technological Readiness are significant load-on drivers for adoption. However, Government Policy Vendor Support were deemed insignificant contributors Moreover, has favourable effect both as well performance. Practical implications finds there great possibility technology transforming SMEs Oman by boosting security, transparency efficiency processes. supports Vision 2040 towards advancing technology, economic development job creation. Managers policy makers should, therefore, encourage this innovation. Originality/value highlights importance firms line national authorities' plans 2040. findings will add significantly existing body knowledge providing holistic understanding determinants perspective TOE framework influence

Language: Английский

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AI in Healthcare Safeguarding Patient Privacy and Confidentiality

Advances in information security, privacy, and ethics book series, Journal Year: 2025, Volume and Issue: unknown, P. 369 - 404

Published: Feb. 14, 2025

In the era of digitization, Artificial Intelligence (AI) integration in healthcare has become a necessity to ensure patient identification & privacy. With rise digitalisation health systems, it also increasingly important have more stringent data protection requirements. This transformation is heavily facilitated by AI-driven technologies that reinforce security, identify real-time threats and streamline compliance with regulations. By utilizing Machine Learning (ML) algorithms comb through big data, outliers can be pinpointed filtered out so unauthorized access prevented assistance advanced forms encryption which protect information while transit or at rest. But fast pace AI development creates as many opportunities challenges, especially when comes marrying availability These ethical concerns, for effective regulatory frameworks, are critical an evolving ecosystem technologies.

Language: Английский

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Navigating Tradition and Modernity: Digital Accounting and Financial Integration in Family-Owned Enterprises in the Arab Gulf

Sustainable Futures, Journal Year: 2025, Volume and Issue: unknown, P. 100680 - 100680

Published: May 1, 2025

Language: Английский

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