This review identifies key barriers — including cultural resistance, data protection demands, and skills gaps — while highlighting the strategic advantages of automation, system integration, and adaptive control mechanisms, and emphasizes the role of non-financial factors such as employee well-being, self-efficacy, and engagement.
The study concludes that digital transformation represents a holistic redesign of business and social systems rather than a purely technological upgrade.
Bharad waj, Menaka Nayak· International Journal of Eme...· 0 citations
The findings indicate a predominantly positive perception of digital transformation, especially in terms of enhanced data integration, improved quality and timeliness of financial reporting, and increased security and integrity of financial information.
Viki Stoilkova, Blagica Koleva· Economics of Development· 0 citations
At present, in the age of digital transformation, it has become an integral part of the organization's growth, innovation, and competitiveness in the current service-oriented industries. This research investigates the changing landscape of information systems, artificial intelligence (AI), risk management, ethical governance, and new technologies that influence digital transformation initiatives today. The study also explores some of the challenges of digital transformation, such as cybersecurity threats, data privacy concerns, algorithmic bias, regulatory compliance, and governance complexity. The need for robust risk management frameworks, ongoing monitoring processes, and institutionally robust governance practices is highlighted as a key element for ensuring the responsible use of AI technologies. Ethical AI principles such as transparency, accountability, fairness, protection of privacy, and respect for rights are emphasized, as they are essential to ensure broader stakeholder trust and sustainable innovation. Banking, healthcare, retail, financial services, and manufacturing organizations have all successfully been able to use digital technologies to advance service delivery, operational performance, and customer experiences through case studies. Further, the study identifies trends for the future, including those of Industry 4.0 technologies, big data analytics, blockchain, cloud computing, Internet of Things (IoT) applications, and intelligent automation, all of which will help drive digital transformation. The results showed that digital transformation is a challenge that will demand a comprehensive approach that combines technology with good governance, risk management, ethical responsibility, and organizational flexibility.
Belal Hossen· International journal of app...· 0 citations
The article proposes a scientific and methodological approach to studying the digital transformation of organizational management systems. It distinguishes automation, digitalization, and digital transformation, defining the latter as a redesign of management architecture, decision-making, organizational structure, competencies, and value creation. The study highlights the role of data-driven management, Big Data, business intelligence, artificial intelligence, digital platforms, cloud technologies, and digital twins in the transition to predictive and adaptive management. A seven-component digital management model is developed, covering digital infrastructure, data and analytics, artificial intelligence, organizational agility, human capital, sustainable development, and trust and security. The methodology supports the assessment of digital maturity, identification of technological, organizational, human-resource, environmental, and security imbalances, and monitoring of transformation performance.
Unknown authors· Scientific Journal of Yuriy...· 0 citations
This conceptual paper examines the growing interdependence between digital transformation, risk management, and leadership. Organizations increasingly invest in artificial intelligence, automation, cloud technologies, and digital platforms to improve competitiveness. However, digital transformation simultaneously creates new vulnerabilities related to technology, processes, strategy, and people. Building upon contemporary literature and a practical application from the logistics sector, this article proposes an Integrated Digital Risk (IDR) Framework that positions leadership as the connecting mechanism between innovation and organizational resilience. The framework consists of four dimensions: Strategic Risk, Technology Risk, Process Risk, and People Risk. The paper argues that organizations achieve sustainable digital growth when risk management is embedded into transformation initiatives rather than treated as a separate compliance function. A practical illustration based on the Forwarder Live digital logistics platform demonstrates how risk-aware digital design can strengthen trust, operational continuity, and long-term organizational performance.
Salome Chkheidze· Journal of Management Resear...· 0 citations