Forthcoming and Online First Articles

International Journal of Technological Learning, Innovation and Development

International Journal of Technological Learning, Innovation and Development (IJTLID)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Technological Learning, Innovation and Development (4 papers in press)

Regular Issues

  • Evaluating ChatGPT Adoption through the Lens of the Technology Acceptance Model: Perspectives from Higher Education.   Order a copy of this article
    by Parveen Kumar, Anu Lohan 
    Abstract: This research delves into the complex landscape of technology adoption, focusing on ChatGPT 3.5, an influential AI language model within the education sector. This study utilises an extended technology acceptance model (TAM) to investigate the adoption perspectives of 352 students from 12 higher education institutions regarding ChatGPT. The analysis utilises confirmatory factor analysis (CFA) and structural equation modelling (SEM) using the AMOS 26. The findings reveal that response quality significantly influences the perceived ease of use (PEOU) of ChatGPT, but it does not directly impact perceived usefulness (PU). PEOU plays a pivotal role in shaping both PU and the overall attitude towards using ChatGPT. These findings underscore the importance of enhancing response quality and user-friendliness to promote ChatGPT adoption while also encouraging critical thinking to mitigate overreliance on AI tools. The conducted research offers valuable insights to application developers, educators, government and policymakers in the evolving landscape of AI integration in education.
    Keywords: technology acceptance model; TAM; ChatGPT; artificial intelligence; higher education; technological learning; confirmatory factor analysis; CFA; structural equation modelling; SEM.
    DOI: 10.1504/IJTLID.2023.10062106
     
  • Assessing the Readiness for Industry 4.0 of Metalworking Companies: evidence in the South of Brazil   Order a copy of this article
    by Luis Fernando Moreira, Gabriel Vidor 
    Abstract: In Brazil, Industry 4.0 is still in the development phase, but there is a growing interest on the part of companies. In 2021, the National Confederation of Industry (CNI) conducted a survey that showed that 69% of Brazilian companies already use some Industry 4.0 technology. The main benefits recognised by the adoption of these technologies are increased productivity, improved product quality, and decreased production costs. This research aims to develop an Industry 4.0 maturity scale that applies to the metalworking sector of the Serra Ga
    Keywords: Industry 4.0; maturity; metalworking; scale development; Brazil.
    DOI: 10.1504/IJTLID.2023.10062201
     
  • Uneven geographical distribution of R&D-related foreign direct investment in Latin America: Uncovering the paradox of national development   Order a copy of this article
    by Carlos Loaiza Alamo  
    Abstract: R&D-related FDI can bring substantial benefits to host territories, but it may also reinforce divergences in development, leaving some areas economically behind. In this study, I analyse the spatial distribution of R&D-related FDI as a proxy of innovation in Latin America, both between and within countries, using manufacturing FDI activities as a benchmark. The study uses the fDi markets database to identify locations of R&D greenfield investments in 14 Latin American countries over the period of 20072017. The findings highlight the paradox between the benefits that host cities receive from R&D-related FDI and the uncertain future for no-host territories. Balanced regional development policies are critical to facilitate innovation promotion and address the broader need for a more equitable distribution of the benefits of such initiatives across the entire nation.
    Keywords: R&D FDI; concentration; Latin America; innovation systems; national divergencies.
    DOI: 10.1504/IJTLID.2024.10062774
     
  • Investigating Trust Leap with AI: A Consumer's Behavioural Model on Autonomous Vehicle Acceptance   Order a copy of this article
    by Ludovica Burgese, Kyung Jin Cha 
    Abstract: Trust is crucial for automation acceptance across domains, yet exploration in the context of autonomous vehicles (AVs) remains limited. This study utilises an exploratory sequential mixed-design, combining qualitative and quantitative data analysis from an AV-focused survey, to investigate trust's role in shaping consumer acceptance of AVs. It validates the significance of trust in AI technology and provides unique empirical insights into the South Korean AV landscape. The study introduces novel dimensions of information transparency, including regulatory and individual factors, alongside conventional ones (benevolence, integrity, and competence), in shaping a source's trustworthiness. Findings reveal the heightened importance of regulatory transparency, particularly regarding data privacy handling and standards compliance, on consumers' perceptions of AV trustworthiness. South Korean consumers' prioritisation of personal safety over ethical values highlights the importance of considering heterogeneity in consumer behaviours and perceptions across different countries. Moreover, the research emphasises the significance of tailored digital literacy initiatives and infrastructure preparedness in fostering a conducive environment for AV acceptance, with direct implications for industry stakeholders, policymakers, and urban planners navigating emerging transportation technologies.
    Keywords: autonomous vehicles; autonomous driving; intelligent transportation systems; technology acceptance models; user acceptance; behavioural models; emerging technologies; artificial intelligence.
    DOI: 10.1504/IJTLID.2024.10063630
     

 

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