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An Academic Analysis of Digital Transformation: A Comprehensive Review of Literature and Business Strategies Fadhlurrahman, Muhammad Alfi
Security Intelligence Terrorism Journal (SITJ) Vol. 1 No. 1 (2024)
Publisher : Pusat Studi Politik dan Kebijakan Strategis Indonesia (POLKASI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70710/sitj.v1i1.4

Abstract

The idea of digital transformation has an impact on many different facets of business. The goal of this study is to examine how digital transformation affects businesses, industries, and society as a whole, with a particular emphasis on business models, operational procedures, and customer experience. To examine the definitions, components, pillars, and important facets of digital transformation, this study uses a literature review methodology. The review's findings show that using digital technology to modernize corporate processes and improve productivity, responsiveness, and creativity is included in the concept of digital transformation. The components of digital transformation are also described in this study, including business models, digital platforms, employee experience, customer experience, and operational procedures within the organization. The customer experience, business models, and operational procedures of the organization are the three primary pillars of digital transformation. In addition, there are five essential components of digital transformation: value, data, customers, competition, and innovation. In a connected and quickly evolving business environment, digital transformation is becoming more and more significant, and firm executives need to have a long-term vision to take advantage of the potential.
Algorithms and Human Rights: The Impact of AI Technology on the Protection of Individual Rights Fadhlurrahman, Muhammad Alfi; Riyanta, Stanislaus; Rustam, Muhammad Reza
Formosa Journal of Multidisciplinary Research Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjmr.v3i10.11644

Abstract

This study examines the impact of artificial intelligence (AI) algorithms on the protection of individual rights, with a focus on transparency and accountability. The research aims to analyze how regulations like the GDPR in the European Union influence AI decision-making processes to safeguard human rights. Using a comparative legal analysis method, this research investigates the role of prospective and retrospective transparency in ensuring that AI systems operate ethically and fairly. The results highlight that transparency significantly enhances accountability and user rights, particularly in preventing discrimination and promoting security. The study concludes that collaboration among policymakers, developers, and users is critical to aligning AI technologies with human rights principles, ultimately fostering more equitable and secure outcomes.