Business Renaissance: Opportunities and Challenges at the Dawn of the Quantum Computing Era

How, Meng-Leong; Cheah, Sin-Mei

doi:10.3390/businesses3040036

Cited by 23 publications

(5 citation statements)

References 55 publications

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“…+ As quantum computing technology continues to advance, researchers can explore the application of quantum algorithms to optimize trading strategies and enhance the efficiency of SPF models. [103][104][105][106]…”

Section: Future Directionsmentioning

confidence: 99%

A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach

Vuong,

Phu,

Van Nguyen

et al. 2024

Science Progress

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We introduce a comprehensive analysis of several approaches used in stock price forecasting, including statistical, machine learning, and deep learning models. The advantages and limitations of these models are discussed to provide an insight into stock price forecasting. Traditional statistical methods, such as the autoregressive integrated moving average and its variants, are recognized for their efficiency, but they also have some limitations in addressing non-linear problems and providing long-term forecasts. Machine learning approaches, including algorithms such as artificial neural networks and random forests, are praised for their ability to grasp non-linear information without depending on stochastic data or economic theory. Moreover, deep learning approaches, such as convolutional neural networks and recurrent neural networks, can deal with complex patterns in stock prices. Additionally, this study further investigates hybrid models, combining various approaches to explore their strengths and counterbalance individual weaknesses, thereby enhancing predictive accuracy. By presenting a detailed review of various studies and methods, this study illuminates the direction of stock price forecasting and highlights potential approaches for further studies refining the stock price forecasting models.

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Section: Future Directionsmentioning

confidence: 99%

A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach

Vuong,

Phu,

Van Nguyen

et al. 2024

Science Progress

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“…By forming secure and tamper-proof network activities, blockchain can be important in tracking potential hazards increasing transparency and accountability in cybersecurity operations. Moreover, a tremendous passion for quantum-resistant algorithms formation is a must for dealing with future issues caused by quantum computing How & Cheah (2023). With the accelerating development of quantum computing, the existing cryptographic methods may no longer be secure, as hackers might use quantum technology to attack the system.…”

Section: Opportunities For Improvementmentioning

confidence: 99%

Towards Improved Threat Mitigation in Digital Environments: A Comprehensive Framework for Cybersecurity Enhancement

Balisane,

Egho-Promise,

Lyada

et al. 2024

Int. J. Res. Granthaalayah

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In today's digital landscape, cybersecurity has become a critical concern due to the increasing sophistication of cyber threats. Traditional cybersecurity measures are often inadequate against evolving attacks, necessitating the development of comprehensive and adaptive threat mitigation frameworks. This study aims to address this gap by proposing a robust cybersecurity framework that integrates advanced technologies such as artificial intelligence (AI), machine learning (ML), and blockchain to enhance threat detection, response, and recovery capabilities. The framework adopts a layered defense mechanism, real-time monitoring, and proactive threat hunting to provide a holistic approach to cybersecurity. By examining current methodologies and identifying their limitations, this research highlights the necessity for enhanced threat mitigation strategies. Through a mixed-methods approach involving online surveys and literature review, the study develops a flexible, scalable, and adaptive framework capable of countering sophisticated cyber threats. Key recommendations include adopting advanced technologies, continuous training, enhancing threat intelligence sharing, implementing a layered defense strategy, and conducting regular security audits. This comprehensive framework aims to improve organizational resilience, ensuring the safety and integrity of digital environments in the face of an ever-evolving cyber threat landscape.

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“…The digital world is characterized by constant innovation and disruption. Leaders must grapple with the challenge of staying abreast of emerging technologies while ensuring that their teams possess the necessary skills to harness these tools effectively (How & Cheah, 2023). To overcome this, leaders should foster a culture of continuous learning within their organizations.…”

Section: Overcoming Challengesmentioning

confidence: 99%

Digital Leadership: Navigating the Future with Strategic Conviction

Al-Hadrawi,

Reniati

2023

IJOMM

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This theoretical study delves into the concept of Digital Leadership, exploring its intricacies and relevance in navigating the future with strategic conviction. As organizations grapple with the rapidly evolving digital landscape, effective leadership becomes paramount. The abstract dissects the theoretical framework of Digital Leadership, unraveling its core components and their implications for organizational success. Emphasizing the fusion of technology acumen and strategic foresight, the study proposes a model for leaders to navigate the complexities of the digital era adeptly. Through an in-depth analysis, it elucidates the role of strategic conviction in shaping digital leadership, positing that visionary decision-making is crucial for capitalizing on emerging opportunities and mitigating challenges. By synthesizing established leadership theories with contemporary digital insights, this study contributes to a nuanced understanding of the theoretical foundations underpinning Digital Leadership, offering a roadmap for leaders to proactively steer their organizations toward sustainable success in an ever-evolving digital landscape.

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Business Renaissance: Opportunities and Challenges at the Dawn of the Quantum Computing Era

Cited by 23 publications

References 55 publications

A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach

A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach

Towards Improved Threat Mitigation in Digital Environments: A Comprehensive Framework for Cybersecurity Enhancement

Digital Leadership: Navigating the Future with Strategic Conviction

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