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 Articles will not be published until the final proofs are validated by their authors.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 (2 papers in press)

Regular Issues

  • What factors influence the innovation activity of companies - the case of Hungary   Order a copy of this article
    by János Kiss, Annamaria Kazai Ónodi 
    Abstract: Our research focuses on the factors influencing the innovation activity of companies. The study is based on a Hungarian sample of 209 large and midsized companies. In addition to simple statistical methods, we use Heckit and probit regression analyses. We conclude that foreign firms do not significantly differ from Hungarian firms in terms of innovation activity and performance. High innovation costs, shortages of skilled labour, and weak innovation management constrain innovation the most. Corruption and the shadow economy hinder companies from innovating. Exporting companies spend more on innovation than companies focusing on domestic markets. Managerial competencies influence the firm’s propensity to innovate. The main limitation of this study is the relatively small cross-sectional sample.
    Keywords: innovation; new products; innovation performance; innovation barriers; corruption; shadow economy; foreign-owned company; Heckman regression model; probit regression model; Hungary.
    DOI: 10.1504/IJTLID.2023.10053622
  • Looking at regional innovation systems and industrial knowledge bases from the South: An analysis of Argentine provinces   Order a copy of this article
    by Andrés Niembro, Gabriela Starobinsky 
    Abstract: Studies on regional innovation systems and, particularly, on differentiated knowledge bases are still highly concentrated in Europe. This article presents some original methodologies for adapting these approaches to peripheral countries and regions. Principal component analysis is used to construct two indexes that distinguish the degree of socio-economic development of Argentine provinces and their innovation systems development. The latest innovation survey and cluster analysis techniques are used to identify the predominant knowledge base among industries and then the regional productive specialisation. The results show a relationship between all these dimensions, especially in two large groups of provinces: one of peripheral innovation systems, specialized in symbolic sectors, with low socio-economic development; and the other of core-intermediate systems, with an analytical-synthetic combination and medium-high development. In Argentina, as in many developing countries, narrow and spatially blind innovation policies, dissociated from regional capabilities and production structures, usually reproduce regional inequalities and reinforce peripheral conditions.
    Keywords: regional innovation systems; knowledge bases; regional inequalities; peripheral regions.
    DOI: 10.1504/IJTLID.2023.10053951