International Journal of Information Technology and Management (4 papers in press)

Special Issue on: OA Information Management and Information Visualisation - Part 3

• Open Access

  The role of business analysis in AI-driven digital transformation ( Free Full-text Access )

  by Korede J. Oluwamola  
  Abstract: Artificial intelligence (AI) is a key driver of digital transformation, enabling organizations to enhance decision-making, automate processes, and generate data-driven insights. However, realising its full potential requires alignment with organisational strategy and processes. This study examines the role of business analysis in facilitating AI-powered digital transformation through a qualitative systematic review based on the PRISMA framework. Twelve peer-reviewed studies across diverse organisational contexts were analysed to identify patterns of AI implementation. Findings indicate that business analysis mediates the translation of AI capabilities into strategic value by supporting process redesign, governance, data readiness, stakeholder engagement, and ethical practices. Rather than serving solely as a technical support function, business analysis emerges as a dynamic organisational capability integrating strategic, operational, and cultural dimensions. The study provides practical insights for organisations seeking responsible AI adoption to maximise long-term business value.
  Keywords: artificial intelligence; AI adoption; digital transformation; business analysis; organisational strategy; process redesign; governance; data readiness.
  DOI: 10.1504/IJITM.2026.10079741
   
  

Regular Issues

• Can Blockchain Help Organizations Streamline Their Operations The Case of Luxury Brands  
  by Sarah Bouraga 
  Abstract: Luxury brands have been facing various pain points over the years, such as counterfeiting or the global issue of sustainability. They also have to create a deep connection with their consumers, making customer relationships essential. Blockchain can help address these issues and opportunities. Using a multiple-case study where we apply an exploratory and inductive approach, we address the following research questions: (i) How can blockchain streamline luxury brand business processes? (ii) How can luxury brands use blockchain to bring value to customers? (iii) How can DApps developers/designers make existing blockchain-based solutions more effective and efficient? This study allows us to draw various conclusions that can have implications in theory and practice In particular, the contribution lies in its identification of strategic and technological concerns around the implementation of a blockchain-based solution, the importance of sustainability, the recognition of characteristics of the blockchain-based application, and the acknowledgment of remaining
  Keywords: Blockchain; Non Fungible Token (NFT); Sustainability; Luxury Brand; Fashion; Counterfeiting 
  
  
• Can Blockchain Help Organisations Streamline Their Operations? The Case of Luxury Brands
  by Sarah Bouraga 
  Abstract: Luxury brands have been facing various pain points over the years, such as counterfeiting or the global issue of sustainability. They also have to create a deep connection with their consumers, making customer relationships essential. Blockchain can help address these issues and opportunities. Using a multiple-case study where we apply an exploratory and inductive approach, we address the following research questions: (i) How can blockchain streamline luxury brand business processes? (ii) How can luxury brands use blockchain to bring value to customers? (iii) How can DApps developers/designers make existing blockchain-based solutions more effective and efficient? This study allows us to draw various conclusions that can have implications in theory and practice In particular, the contribution lies in its identification of strategic and technological concerns around the implementation of a blockchain-based solution, the importance of sustainability, the recognition of characteristics of the blockchain-based application, and the acknowledgment of remaining challenges.
  Keywords: Blockchain; Non Fungible Token (NFT); Sustainability; Luxury Brand; Fashion; Counterfeiting .
  
  
• VRPM-HCM: Enhancing Cloud Power Efficiency Through Hybrid Machine Learning and Model Predictive Control  
  by Sai-Feng Zeng 
  Abstract: The proliferation of cloud computing has intensified energy consumption in data centres, demanding innovative solutions to balance power efficiency and performance. Traditional methods struggle to address dynamic interactions between virtual machines, workloads, and hardware in virtualised environments. This paper proposes VRPM-HCM, a novel framework that synergises model predictive control with machine learning to optimise power consumption while ensuring service-level agreement compliance. The framework introduces a dual-layer control mechanism for real-time CPU frequency adjustments and VM migrations. Experiments demonstrate that VRPM-HCM achieves 23.9% average power savings, reduces SLA violations by 1.2%2.7%, and maintains 91%94% resource utilisation, outperforming state-of-the-art baselines. These results validate its effectiveness in harmonising energy efficiency, performance guarantees, and hardware longevity in dynamic cloud environments.
  Keywords: virtual cluster; quality of service; power control; control theory.
  DOI: 10.1504/IJITM.2025.10076874