Forthcoming articles

International Journal of Technological Learning, Innovation and Development

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

These 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 Articles will not be published until the final proofs are validated by their authors.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

  • Validating the Dynamic Relationship between Technological Innovation and Economic Growth in Malaysia   Order a copy of this article
    by Hussain Ali Bekhet 
    Abstract: Technological innovation is a dynamic growth factor to achieve sustainable development. This study aims to explore the long- and short-run relationship between technological innovation and Malaysias sustainable growth from 1980 to 2015. Augmented Cobb-Douglas production function is used to scale the technological innovation and economic growth link. The F-bounds test and VECM Granger causality are employed. The dynamic relationships among the gross domestic product, capital, employment, electricity consumption, technological innovation, technological innovation squared and governance institution quality variables; and the nonlinear relationship between technological innovation and economic growth are studied. The study confirms the existence of long-run relationship among the variables and the link between technological innovation and economic growth has an inverted U-shape. Also, technological innovation, technological innovation squared, and governance institution quality Granger-cause economic growth in the long and short run, together with capital, employment and electricity consumption. Therefore, continuous plans and policies are very much needed to drive technological innovation evolution in Malaysia, so the tide is slowly turning.
    Keywords: technological innovation; governance institution quality; elasticity; Granger causality; sustainable growth; Malaysia.

  • EXPLORING DRIVING FACTORS AND CHALLENGES OF INNOVATION IN SERVICE FIRMS: EVIDENCE FROM KOSOVO   Order a copy of this article
    by Lura Rexhepi Mahmutaj, Berim Ramosaj, Besnik Krasniqi 
    Abstract: Today, successful implementation of innovation within Small and Medium-sized enterprises (SMEs) has been a subject of great interest among authors. The purpose of this study is to explore the driving factors and challenges of innovation in the context of SMEs in the service sector. This study follows qualitative research with twenty-one SMEs in Kosovo from the service sector. Using NVivo software, our findings suggest that the main drivers of innovation are innovation budget, employees skills, top management support and dealing with employees resistance to change. On the other hand, the main challenges, which may impede SMEs to innovate comprise of cost-related factors, market conditions, as well as lack of skilled human resources. The results imply that human skills and technology acquisition, as well as government policies are important contextual factors to improve SMEs innovation performance.
    Keywords: SMEs; innovation; service industry; Kosovo; qualitative study.

  • A Strategic Assessment of the Effects of Project Control Systems on Performance and Outcomes. The Case of ICT Organizations   Order a copy of this article
    by Atef Harb, Elie Baz, Abdallah Kassem, Cesar Baena 
    Abstract: Abstractthis paper investigates the type of controls needed in order to achieve a strategic and successful implementation of ICT projects. The use of instrumental and people-oriented control mechanisms was researched in order to assess the influence of each of those controls on the projects outcomes. The role of the Project controller was investigated as well. A phenomenological empirical approach based on primary data collected from a population of project managers was pursued. Purposive sampling was adopted. The results were analyzed using the literature as a guiding prism of interpretation toward some focused areas of research, different hypotheses tested and accepted. This research found that the best combination for achieving optimal Project Control is to rely on both instrumental and people-oriented control mechanisms, specially adapted to each organizations needs. Moreover, it concluded that the Project controller is an important resource in the organization and should play the role of a Business Advocate to the management. This research examined the use of new methods and the implementation of a new strategy in the field of Project Control as an extension to the conventional instrumental techniques.
    Keywords: Project Control systems; Project Performance; Information and Communications Technology (ICT); Optimal Project control; Computer-based information systems; Engineering Concept; Strategy.

  • Dynamic Structural Comparison of BRICS National Innovation Systems Based on Machine Learning Techniques   Order a copy of this article
    by Ibrahim Alnafrah 
    Abstract: This study aims at investigating the structural differences of NISs among BRICS countries to reveal the different functional patterns of these systems. Different Machin learning techniques are used of a set of variables that represent the main NISs dimensions: innovation, economic, educational, infrastructural and institutional dimensions. This study includes 23 variables for 50 countries, including BRICS countries, for 26 years (1990 - 2015). The results of the dynamic structural comparison analysis of BRICSs NISs show that they have different functional patterns in terms of economic, educational and infrastructural dimensions, where all BRICS countries, except India, perform well in comparison with other studied countries. On the other hand, all NISs of BRICS countries have the same functional patterns in terms of innovation and institutional dimensions, where all NISs of them suffer from a low performance. The results also show that the performance of BRICSs NISs tends to diverge over time because each NIS suffers from a different kind of system failure, which leads to a different development path and structure. This study introduces a novel approach to analyze and compare NISs structurally and dynamically over time. The introduced approach enables policy makers to identify the strengths and weaknesses of their NISs, in addition to track, monitor and adjust the innovation strategies over time.
    Keywords: National Innovation System; BRICS; Machine Learning Techniques; Classification; Clustering; Functional Patterns Comparison; Innovation policy; Innovation strategy; structural comparison.