Forthcoming Articles

International Journal of Technology Transfer and Commercialisation

International Journal of Technology Transfer and Commercialisation (IJTTC)

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 Articles will not be published until the final proofs are validated by their authors.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 Technology Transfer and Commercialisation (4 papers in press)

Regular Issues

  • Boosting technology commercialisation: an educational case-based workshop for engineering-business collaboration   Order a copy of this article
    by Igor Laine, Anna Sidorenko, Hajer Jarrar, Virginie Hachard 
    Abstract: Interdisciplinary collaboration between engineering and business professionals is vital for commercialising technological innovations, yet universities often struggle to equip students with the necessary skills to navigate the realms of complex projects. This paper addresses the challenges faced in technology commercialisation education, including misalignment of goals, communication barriers, and limited hands-on experience with real-world projects. We propose a case-based workshop centred around ongoing commercialisation projects to overcome and learn how to deal with these challenges. The workshop equips students with an integrative toolkit for technology commercialisation, fosters them to collaborate effectively across disciplines, provides practical experience in navigating the commercialisation lifecycle, and, at the same time, contributes to the projects. By engaging with live technology commercialisation projects, students gain insights into market opportunities, regulatory barriers, and strategic decision-making, preparing them for future roles in academia, industry and in-between.
    Keywords: technology commercialisation; education; university-industry collaboration; innovation; interdisciplinary projects.
    DOI: 10.1504/IJTTC.2026.10074689
     
  • Innovation and human capital in mixed-ownership enterprises: a stakeholder governance approach to sustainable development   Order a copy of this article
    by Zheng Cheng, Renato Pereira, Jamila Abaidi Hasnaoui, Virginie Hachard, Yuan Zhengfu 
    Abstract: This study examines the sustainable development of mixed-ownership enterprises through stakeholder governance. By integrating collaborative, green, and data governance theories, it proposes a model that assesses impacts on corporate dynamic capabilities, human capital, and innovation. Utilising qualitative methods and structured interviews with senior managers in Chinese mixed-ownership enterprises, the research, analysed using MAXQDA 2020, reveals positive correlations between governance mechanisms and corporate performance. Collaborative governance enhances dynamic capabilities and human capital, thereby promoting long-term sustainability. Green governance fosters eco-friendly innovations and strengthens human capital, while data governance improves operational efficiencies and human capital development, further reinforcing sustainability. The study contributes to the theoretical and practical understanding of stakeholder governance but is limited by its single-country focus and sample size, suggesting opportunities for broader research initiatives.
    Keywords: innovation; human capital; stakeholder governance; mixed-ownership enterprises; sustainable development; corporate dynamic capabilities.
    DOI: 10.1504/IJTTC.2026.10077916
     
  • Risk assessment of academic entrepreneurship of universities: case study of IPB University   Order a copy of this article
    by Anita Primaswari Widhiani, Lydia Freyani Hawadi 
    Abstract: Universities face increasing pressure to generate income through innovation, yet IPB University records a commercialisation rate of only 5% despite numerous innovations. This study applies ISO 31000:2018 using interviews, focus group discussions, and perception-based surveys to identify, analyse, and evaluate academic entrepreneurship risks. Four major risk domains were identified: collaboration, entrepreneurial support, leadership and structure, and entrepreneurial learning. Leadership and structure emerged as the highest-priority risk domain, followed by entrepreneurial support. The study reframes university barriers as risk objects within a structured risk assessment framework, identifies leadership as a central organising risk, and highlights the interdependence among support, collaboration, and learning domains within a developing-country university context.
    Keywords: risk assessment; academic entrepreneurship; universities.
    DOI: 10.1504/IJTTC.2026.10079586
     
  • From ownership to orchestration: commercialising generative AI in SMEs under technological abundance   Order a copy of this article
    by Nabeel Muhammad 
    Abstract: Generative AI is widely accessible, yet SMEs with comparable access report profoundly different commercial outcomes. Existing commercialisation frameworks, built on assumptions of proprietary technological ownership, offer no explanation for this variation. This study fills that gap by introducing orchestration as a firm-level capability that translates equal technological access into unequal revenue outcomes. Drawing on 12 semi-structured interviews with SME decision-makers across knowledge-intensive service industries in the USA, two dimensions shaping commercialisation performance are identified: the degree of AI integration within organisational workflows and the extent to which AI capabilities are signalled to the market. These dimensions produce an AI orchestration matrix with four archetypal strategies: hidden efficiency users, operational enhancers, signalled differentiators, and AI-orchestrated business models. The study extends commercialisation theory into conditions of technological abundance, where competitive advantage migrates from the technological layer to the application layer.
    Keywords: generative artificial intelligence; technology commercialisation; SMEs; AI orchestration; technological abundance; digital innovation; business model innovation.
    DOI: 10.1504/IJTTC.2026.10080925
     

 

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