Template-Type: ReDIF-Article 1.0
Author-Name: Joshua Adeyemi Afolabi
Author-X-Name-First: Joshua Adeyemi
Author-X-Name-Last: Afolabi
Author-Name: Foluso Modupe Adeyinka
Author-X-Name-First: Foluso Modupe
Author-X-Name-Last: Adeyinka
Title: Triple Helix model: leveraging endogenous innovation systems for economic transformation in Africa
Abstract:
Economic transformation in Africa has been largely undermined by the lack of endogenous innovation models and development paths. Different governments in Africa have had to juggle several foreign development plans and policies, albeit with little success. The Triple Helix model, however, offers great opportunities for development, given its emphasis on the synergy among key development actors - university, industry and government. Hence, this study presents the Triple Helix model as a viable and sustainable tool for engendering economic transformation in Africa. The problems and prospects of implementing the model in Africa were extensively discussed. Findings revealed relatively weak links among the development actors in Africa owing to the dismal performance of many African countries' innovation indicators. Therefore, this study reiterates the imperatives of implementing the Triple Helix model in African countries towards the achievement of structural economic transformation, sustainable development as well as the transition from resource-based economies to knowledge-based economies.
Journal: Int. J. of Technological Learning, Innovation and Development
Pages: 225-242
Issue: 3
Volume: 15
Year: 2024
Keywords: Triple Helix model; development actors; innovation model; economic transformation; Africa.
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Handle: RePEc:ids:ijtlid:v:15:y:2024:i:3:p:225-242

Template-Type: ReDIF-Article 1.0
Author-Name: Nathapornpan Piyaareekul Uttama
Author-X-Name-First: Nathapornpan Piyaareekul
Author-X-Name-Last: Uttama
Title: Influence of a knowledge-based economy on foreign direct investment in regional comprehensive economic partnership economies
Abstract:
This study examines the influence of a knowledge-based economy on foreign direct investment (FDI) among countries in the regional comprehensive economic partnership (RCEP). The knowledge-based economy is the focus of this study, with particular attention paid to digital technology, innovation, and advanced industrial capacities. Panel data from ten RCEP member states from 2008 to 2019 and the Lasso-Poisson pseudo-maximum likelihood method are used in the estimation. The results show that technological skills, similarities in technological skills, R&D, high-tech and innovative industrial activities, and access to finance between the recipient and investing countries in the RCEP positively influence FDI flows. Additionally, the economic complexity disparity across RCEP countries positively influences their FDI activities. Based on these findings, RCEP nations should accelerate their efforts to advance digital technology and innovation, increase the economic complexity of production, and promote knowledge-based economic integration.
Journal: Int. J. of Technological Learning, Innovation and Development
Pages: 243-269
Issue: 3
Volume: 15
Year: 2024
Keywords: knowledge-based economy; digital technology and innovation; economic complexity; foreign direct investment; FDI; regional comprehensive economic partnership; RCEP.
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Template-Type: ReDIF-Article 1.0
Author-Name: Siham Hamidi
Author-X-Name-First: Siham
Author-X-Name-Last: Hamidi
Author-Name: Abdelaziz Berrado
Author-X-Name-First: Abdelaziz
Author-X-Name-Last: Berrado
Title: Data analytics for national innovation research: a systematic literature review
Abstract:
The aim of this systematic literature review (SLR) is two-fold: first, to examine the use of data analytics techniques in studying national innovation by providing a comprehensive analysis of this research field. Second, to inform researchers and policymakers about the state of the art and to highlight topics that merit further attention. This SLR is based on Scopus and Web of Science publications appearing between 1984 and 2023. Only 149 articles met the selection criteria, showing that this is an emerging field that requires more investigation. In addition, the SLR identified several sources of data in this field that present, if combined with machine learning techniques, a promising opening for researchers. This SLR also shows a geographical disparity in this research field. The literature mainly investigates the EU and OECD countries. In contrast, low-income countries, small economies, and African countries have received very little attention.
Journal: Int. J. of Technological Learning, Innovation and Development
Pages: 270-306
Issue: 3
Volume: 15
Year: 2024
Keywords: data analytics techniques; national innovation determinants; national innovation capacity; national innovation performance; innovation index; machine learning in innovation.
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Template-Type: ReDIF-Article 1.0
Author-Name: Adam Konto Kyari
Author-X-Name-First: Adam Konto
Author-X-Name-Last: Kyari
Author-Name: Musa Garba Gulani
Author-X-Name-First: Musa Garba
Author-X-Name-Last: Gulani
Author-Name: Bukar Zanna Waziri
Author-X-Name-First: Bukar Zanna
Author-X-Name-Last: Waziri
Title: Financial technology: an alternative for financing small and medium-sized enterprises in Nigeria
Abstract:
This study examines the factors influencing small and medium size enterprises' (SMEs) decision to adopt Fintech as alternative source of finance. Data was gathered through a five-point Likert questionnaire and analysed via descriptive statistics, factor analysis, and multiple regression analysis. Except for changes in organisational characteristics which revealed a negative effect, changes in all the other three components of external system, innovation characteristics, and staff/individual characteristics revealed positive relationship with SMEs decision to adopt Fintech as alternative financing. Accordingly, this study concludes that Fintech is readily available, accessible, observable, and cost effective for SMEs in Nigeria. It is concluded that SMEs operators are satisfied that the Fintech industry in Nigeria is adequately regulated. Furthermore, the study concludes that Fintech adoption as alternative finance is consistent with SMEs beliefs, attitudes, and values. The study recommends further research on using longitudinal research design to cover SMEs long-term decision-making process.
Journal: Int. J. of Technological Learning, Innovation and Development
Pages: 307-328
Issue: 3
Volume: 15
Year: 2024
Keywords: financial technology; alternative; financing; small and medium enterprises; SMEs; developing economy; Nigeria.
File-URL: http://www.inderscience.com/link.php?id=137484
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Template-Type: ReDIF-Article 1.0
Author-Name: Piyush Gupta
Author-X-Name-First: Piyush
Author-X-Name-Last: Gupta
Author-Name: Vivek Mishra
Author-X-Name-First: Vivek
Author-X-Name-Last: Mishra
Author-Name: Sudhir Rana
Author-X-Name-First: Sudhir
Author-X-Name-Last: Rana
Title: An exploratory study of the impact of perceived fake news on brand attachment: mediating role of brand trust and consumer-brand identification
Abstract:
Fake news has created a nightmare for companies and brands. Fake news not only affects a brand's reputation but also consumer behaviour. However, no scale is available to measure perceived fake news (PFN) in literature. Brand attachment (BA) is one of the important constructs in predicting consumer behaviour. This study aims to explore how PFN influences BA. The mediating role of consumer-brand identification (CBI) and brand trust (BT) have been studied in the relationship between PFN and BA. The results suggest that PFN has an impact on CBI and BA. However, it does not affect BT. Also, CBI partially mediates the relationship between PFN and BA while BT shows no mediation. This study contributes a three-item scale to measure perceived fake news. Brands can use brand attachment and brand trust as the mitigating strategy to reduce the harm of fake news.
Journal: Int. J. of Technological Learning, Innovation and Development
Pages: 329-346
Issue: 3
Volume: 15
Year: 2024
Keywords: fake news; brand attachment; brand trust; consumer-brand identification; CBI; brand; social media.
File-URL: http://www.inderscience.com/link.php?id=137485
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Handle: RePEc:ids:ijtlid:v:15:y:2024:i:3:p:329-346

Template-Type: ReDIF-Article 1.0
Author-Name: Parveen Kumar
Author-X-Name-First: Parveen
Author-X-Name-Last: Kumar
Author-Name:  Anu
Author-X-Name-First: 
Author-X-Name-Last: Anu
Title: Evaluating ChatGPT adoption through the lens of the technology acceptance model: perspectives from higher education
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.
Journal: Int. J. of Technological Learning, Innovation and Development
Pages: 370-383
Issue: 4
Volume: 15
Year: 2024
Keywords: technology acceptance model; TAM; ChatGPT; artificial intelligence; higher education; technological learning; confirmatory factor analysis; CFA; structural equation modelling; SEM.
File-URL: http://www.inderscience.com/link.php?id=140316
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Handle: RePEc:ids:ijtlid:v:15:y:2024:i:4:p:370-383

Template-Type: ReDIF-Article 1.0
Author-Name: Luis Fernando Moreira
Author-X-Name-First: Luis Fernando
Author-X-Name-Last: Moreira
Author-Name: Gabriel Vidor
Author-X-Name-First: Gabriel
Author-X-Name-Last: Vidor
Title: Assessing the readiness for Industry 4.0 of metalworking companies: evidence in the south of Brazil
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 Gaúcha, considering the specific factors of the sector, such as the technologies applied in the sector and the processes. The maturity scale should be able to measure the level of maturity of companies in the metalworking sector about the enabling technologies of Industry 4.0. The research method is quantitative, and descriptive, applied through a survey of 250 companies in the metalworking sector of the Serra Gaúcha, Rio Grande do Sul. Brazil. The results show that Brazilian companies are still in the initial phase of adopting Industry 4.0 technologies.
Journal: Int. J. of Technological Learning, Innovation and Development
Pages: 384-424
Issue: 4
Volume: 15
Year: 2024
Keywords: Industry 4.0; maturity; metalworking; scale development; Brazil.
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Handle: RePEc:ids:ijtlid:v:15:y:2024:i:4:p:384-424

Template-Type: ReDIF-Article 1.0
Author-Name: Carlos Loaiza Alamo
Author-X-Name-First: Carlos Loaiza
Author-X-Name-Last: Alamo
Title: Uneven geographical distribution of R%D-related foreign direct investment in Latin America: uncovering the paradox of national development
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 2007-2017. 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.
Journal: Int. J. of Technological Learning, Innovation and Development
Pages: 347-369
Issue: 4
Volume: 15
Year: 2024
Keywords: R%D FDI; concentration; Latin America; innovation systems; national divergencies.
File-URL: http://www.inderscience.com/link.php?id=140318
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Handle: RePEc:ids:ijtlid:v:15:y:2024:i:4:p:347-369

Template-Type: ReDIF-Article 1.0
Author-Name: Ludovica Burgese
Author-X-Name-First: Ludovica
Author-X-Name-Last: Burgese
Author-Name: Kyung Jin Cha
Author-X-Name-First: Kyung Jin
Author-X-Name-Last: Cha
Title: Investigating trust leap with AI: a consumer's behavioural model on autonomous vehicle acceptance
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 consumer's 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.
Journal: Int. J. of Technological Learning, Innovation and Development
Pages: 449-475
Issue: 4
Volume: 15
Year: 2024
Keywords: autonomous vehicles; autonomous driving; intelligent transportation systems; technology acceptance models; user acceptance; behavioural models; emerging technologies; artificial intelligence; AI; trust; trust leap; human-machine interaction; information transparency; South Korea.
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Template-Type: ReDIF-Article 1.0
Author-Name: Sami Mejri
Author-X-Name-First: Sami
Author-X-Name-Last: Mejri
Author-Name: Moatsum Al Awida
Author-X-Name-First: Moatsum Al
Author-X-Name-Last: Awida
Author-Name: Stavroula Kalogeras
Author-X-Name-First: Stavroula
Author-X-Name-Last: Kalogeras
Author-Name: Bayan Abu Shawar
Author-X-Name-First: Bayan Abu
Author-X-Name-Last: Shawar
Title: ChatGPT: an emerging innovation or a threat to creativity and knowledge generation?
Abstract:
The novel study explores the implications of integrating ChatGPT into higher education settings across universities in the USA. A quantitative survey was distributed to gather insights from faculty, staff, and students regarding ChatGPT's impact on pedagogy, academic integrity, and educational policy. The 22-item questionnaire, administered through convenient sampling, received responses from 56 participants. Findings showed participants' academic backgrounds, their self-reported perceptions of ChatGPT's impact on learners, impact on academic policy and practice, and e-learning were statistically significant predictors of its integration, The study identifies statistically significant correlations between ChatGPT use and learners' academic effort, creativity, communication quality, and the impact on academic policies and practices. ChatGPT can be both an intelligent tool for knowledge generation and a threat to academic integrity. Provided is an overview of the limitations of this study and make recommendations for future studies-emphasising the potential impacts of ChatGPT on the learner's effort, level of engagement, and creativity.
Journal: Int. J. of Technological Learning, Innovation and Development
Pages: 425-448
Issue: 4
Volume: 15
Year: 2024
Keywords: ChatGPT; instructional technology; mobile devices; higher education; educational apps; mobile learning.
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