Over the past five years, hacking incidents targeting Indonesia’s digital business ecosystem have increased significantly. The National Cyber and Crypto Agency (Badan Siber dan Sandi Negara [BSSN]) recorded more than 1.6 billion cyberattacks throughout 2021, while 311 data breach incidents affecting 248 stakeholders were reported in 2022. However, this increase in cyber incidents has not necessarily been accompanied by a shift in the paradigm of cybersecurity research, as much of the existing literature continues to focus primarily on technical aspects. This study aims to analyze and compare approaches from previous research in mapping cybersecurity strategies for digital enterprises, particularly within the contexts of e-commerce, fintech, and local Software-as-a-Service (SaaS) platforms. Using a systematic literature review (SLR) method based on the PRISMA protocol, this study analyzed 34 articles obtained from the Scopus, IEEE Xplore, and Google Scholar databases published between 2019 and 2024. The findings identify a conceptual gap between technology-oriented approaches and integrated cybersecurity approaches that incorporate human and process dimensions through the people-process-technology framework. The results indicate that most studies continue to emphasize isolated technical solutions, while internal user behavior as a critical cybersecurity risk factor remains underexplored. This study argues that the primary vulnerability of digital enterprises lies not only in the infrastructure layer but also in the gap between formal cybersecurity policies and their actual implementation in organizational practices.
Aditya Akbar, Rafael Verdyansyah Pratama, Cahyo Purnomo et al.· Devotion : Journal of Resear...· 0 citations
This study aims to analyze the role of Artificial Intelligence (AI) in driving digital business transformation through a systematic literature review approach. Digital business transformation has become increasingly essential for organizations seeking to maintain competitiveness in the era of Industry 4.0 and the emerging Industry 5.0 paradigm. As a core component of technological advancement, AI provides advanced capabilities in data processing, process automation, predictive analysis, and the generation of valuable business insights. Through an analysis of 25 selected scientific publications from reputable academic databases, this study identifies four main dimensions of AI’s role in digital business transformation: (1) intelligent business process automation, (2) data-driven personalization of customer experiences, (3) supply chain and operational optimization, and (4) AI-based strategic decision-making. The findings indicate that organizations successfully integrating AI into their core business strategies experience improvements in operational efficiency, enhanced customer satisfaction, and increased business performance. However, challenges such as digital talent shortages, implementation costs, data privacy concerns, ethical considerations, and resistance to organizational change remain significant barriers. This study contributes to a comprehensive understanding of how AI is reshaping the contemporary digital business landscape and provides practical insights for business leaders in developing effective digital transformation strategies.
Ilham Karunia Akbar, Rafly Verdyansyah Pratama, Ahmad Rifa’i et al.· Devotion : Journal of Resear...· 0 citations
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