International Journal of Technology Management

Journal Information
ISSN / EISSN : 0267-5730 / 1741-5276
Published by: Inderscience Publishers (10.1504)
Total articles ≅ 2,129
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Latest articles in this journal

Isabel Díez Vial, José Antonio Belso Martínez, María José López Sánchez
International Journal of Technology Management, Volume 89; https://doi.org/10.1504/ijtm.2022.10047516

Ching Cheng Lu, Xiang Chen, Shih Wen Lee, Shao Yin Hsu, Kuo Wei Chou
International Journal of Technology Management, Volume 89; https://doi.org/10.1504/ijtm.2022.123009

Abstract:
The integrated circuit (IC) industry has a very significant role for Taiwanese exports, since Taiwan is a trade-oriented small open economy. This paper is to assess the performance of efficiency and total factor productivity (TFP) of the 47 publicly-traded companies in Taiwan's IC design industry by applying the dynamic network non-oriented slacks-based data envelopment analysis models (DN non-oriented DEA models) to estimate dynamic efficiency score and Malmquist Index. The aim is to evaluate their production, market, overall efficiencies and the productivity change between 2010 and 2014. The dynamic efficiency measure indicates the level of efficiency increases in the first two years, then declines after. Malmquist productivity analysis shows a significant decline in the production stage between 2010 and 2014. It is suggested that Taiwanese IC design industry should strengthen the exchange of the IC design experience and try to cooperate with universities in research and development to improve production performance.
Erne Schell, Anja Herrmann Fankhaenel
International Journal of Technology Management, Volume 88; https://doi.org/10.1504/ijtm.2022.10045722

Mouwafac Sidaoui, Bill Schmarzo, Denis Dennehy
International Journal of Technology Management, Volume 88; https://doi.org/10.1504/ijtm.2022.10045784

Abstract:
How artificial intelligence (AI) technologies can foster innovation is challenging as data scientists must learn to bridge analytical mastery and intuitive decision-making. In recent years, design thinking, a human-centred, problem-solving approach has been used by researchers to address complex social problems. However, a rigorous study of the application of design thinking in the context of digital innovation is absent from current discourse. This study, based on a revelatory case study, explores how design thinking can foster the development of AI-powered innovations, by bridging the divide between human-centric and machine-centric activities. The study extends the concept of design thinking within digital innovation and provides a new lens to consider studies of organisations engaged in AI-powered innovations. By extending the generalisability of design thinking, we provide novel insights about the challenges, benefits, and lessons learned when data scientists adopt design thinking to 'bridge' and 'balance' their analytical and intuitive thinking.
Julia Breßler, Lisa Hegemann
International Journal of Technology Management, Volume 88; https://doi.org/10.1504/ijtm.2022.10045789

Abstract:
The search of technologies for the future of mankind is increasingly recognised as a powerful force for a sustainable life. This requires an implication of ethical, legal and social issues in the development process. Yet, despite the extensive stream of research on sustainable technology and innovation, we know little about fostering factors of responsible innovation. In this study, we investigate the roles of imagination and female technology workers for the generation of responsible innovation. We also explore the dimensions of responsible innovation. We examined this issue by conceptualising a responsible innovation index, which is applied in a quantitative analysis of two datasets with a scope of more than 650 objects. Our findings highlight that female tech workers especially strengthen the inclusion function of responsible innovation. However, the results also show that the imagination is influenced by socio-cultural circumstances. Our work constitutes a step forward to a more 'realistic' picture of supporting factors of responsible innovation.
David Rodeiro Pazos, Sara Fernández López, María Jesús Rodríguez Gulías, Christian Corsi, Antonio Prencipe
International Journal of Technology Management, Volume 88; https://doi.org/10.1504/ijtm.2022.121452

Abstract:
Understanding the dynamics related to university survival is a critical point for scholars and policymakers, especially in the technology transfer process. Drawing on the population and organisational ecology perspectives and the resource-based view of the firm, this paper aims to investigate the survival determinants of university spin-offs (USOs). After applying event analysis techniques in a cross-national dataset of 1,275 Italian and Spanish USOs over the period 2005-2013, the findings show that firm size, firm age, industrial partners and firm efficiency positively influence the USOs' survival, whereas patent activity decreases the USOs' chances to survive. Additionally, a U-shaped relationship between financial leverage and the USOs' survival emerges. Based on the emerging evidence, some policy and managerial implications are provided to help USOs to cross their 'Valley of Death'.
Mohammad Reza Fallah
International Journal of Technology Management, Volume 88; https://doi.org/10.1504/ijtm.2022.121442

Abstract:
Globalisation and increasing growth of technology as well as the changes in business environment have put start-ups in a difficult situation. Innovative tools like open innovation ecosystem are the best strategy to deal with these situations and gain a sustainable competitive advantage. The present study attempts to provide a paradigmatic model for conceptualisation of the open innovation ecosystem in start-ups. Regarding the strategy, the current study employs a qualitative approach, and regarding its objective, the research is fundamental and descriptive-analytical in terms of its nature and method. To collect data, the meta-synthesis approach was utilised and the articles related to the research topic, published between 2010 and 2019, were reviewed. After analysing the research findings via Glasier Granded theory, 105 indicators/drivers were identified and 48 concepts were labelled into four categories and 15 sub-categories. The results showed that 'multiple absorptive capacity' through 'dynamic facilitators' and 'innovative empowerment', recombining 'shared synergy' through engaging 'key customers, competitors, enterprises, businesses, and innovation centres', and the conceptualisation and creation of 'open innovation ecosystem' are possible.
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