International Journal of Technology Intelligence and Planning (4 papers in press)

Regular Issues

• Exploring the Evolution of Emerging Technologies using Text Mining Method based on Machine Learning: Evidence from Intelligent Ship Technology  
  by Jingyi Yao, Weiwei Liu, Kexin Bi 
  Abstract: Emerging technologies has reshaped multiple industries, notably the maritime sector, where intelligent ship technology has emerged as a pivotal innovation. However, little attention has been given to mapping its evolution. To address this gap, we introduce a framework, employing text mining and machine learning to unravel the evolution of intelligent ship technology. Our method applies LDA to identify topics over time, dissects evolution in intensity, content, and state, and maps evolution paths of topics to assess current research and forecast trends. The main findings are as follows: First, the topic distribution of intelligent ship technology gradually shows diversity over time. Second, the topic content shows crossover, penetration and integration among the research topics. Third, the evolution state presents complex evolutionary relationships of dividing, consolidating and inheritance. This extends research, offering a dynamic view of state and progress of intelligent ship technology, informing researchers, policymakers, and stakeholders to harness its potential.
  Keywords: intelligent ships; latent Dirichlet allocation; LDA model; topic identification; topic evolution analysis; technology evolution path.
  DOI: 10.1504/IJTIP.2025.10066548
   
  
• The Preferences and Needs of Higher Education Students from Learning Analytics Dashboards in a Blended Learning Environment  
  by Amina Ouatiq, Bouchaib Riyami, MANSOURI KHALIFA 
  Abstract: Learning analytics dashboards improve learning outcomes, track and monitor students’ learning experiences, and help make data-informed decisions. However, most dashboards are neither intended directly for students nor designed and developed with them as users. To address this issue and provide students with suitable tools that meet their needs. The authors present an empirical study that investigates the students’ requirements and expectations when taking distance or hybrid courses. This study identifies the types of uses and functions that students require in their activities, guiding the design of a learning analytics dashboard.
  Keywords: human centred learning analytics; Learning analytics dashboard; User’s needs; Survey; Indicators; Case study.
  DOI: 10.1504/IJTIP.2025.10070077
   
  
• Artificial Intelligence in Public Administration: a Comprehensive Literature Review on Opportunities, Challenges, and Strategic Implementation  
  by Kawtar Benkirane, Khadija Benazzi 
  Abstract: Artificial intelligence (AI) is reshaping public administration through applications such as predictive policing, fraud detection, and chatbots. This literature review examines AI’s integration in the public sector, focusing on opportunities and challenges in adopting technologies like machine learning, natural language processing, robotics, and big data analytics. Key benefits include improved efficiency, data-driven decision-making, cost reduction, and enhanced transparency. However, challenges persist, including ethical and privacy concerns, data governance, technological integration, and workforce skills. Drawing on case studies in healthcare, public safety, smart city management, and social services, this review outlines strategic measures for effective AI adoption, including clear policies, investment in data infrastructure, cross-sector collaboration, and robust ethical frameworks. It offers a concise foundation for understanding AI’s impact on public administration.
  Keywords: Artificial intelligence; public enterprises ; literature review.
  DOI: 10.1504/IJTIP.2025.10074274
   
  
• The Impact of Enhancing Digital Financial Literacy on Firm Performance: Evidence from Digitalisation in Indonesia  
  by Kusuma Ratnawati, Rofikoh Rokhim, Cicik R. Wati, Rasta Putra Dewanta 
  Abstract: This study explores and analyses the impact of digital financial literacy and digital finance on the firm performance of MSMEs, as well as the mediating role of digital finance. Using a quantitative method with an explanatory approach on 400 MSMEs in East Java, the SEM-PLS analysis results indicate that digital financial literacy significantly enhances firm performance, and digital finance serves as an effective mediator. The findings of this study reveal that combining digital literacy and financial literacy into the concept of digital financial literacy creates a unique asset for firms and acts as a key catalyst in improving firm performance. Additionally, this study emphasises that digital finance plays an important role as a bridge in the application of digital financial literacy, shaping unique intangible assets. The uniqueness and differentiation in firm resources are the main characteristics of the resource-based view application, thus the research is expected to provide strategic contributions to support the digitalisation program of MSMEs in Indonesia.
  Keywords: Digital Financial Literacy; Digital Finance; Firm Performance; Digitalization; Micro Small Medium Enterprises.
  DOI: 10.1504/IJTIP.2025.10074298