Research Trends in Technology Change

Indonesian Journal of Electrical Engineering and Computer Science, 2016

Information of technology development is indispensable for research planning. This information is needed by researcher to determine research topics which he will contribute. For journal editor, this information is needed to evaluate research paper draft. Unfortunately, technology development is unable to be measured directly. To measure the development, several methods have been developed using patent and journal as its data. In this work we focused on development of technology map and its measurement in a method to provide information of technology development from Indonesian research journals using text mining and network analysis. The map helps stakeholders to plan their researches. Using journal data from agro-industrial technology, the method is able to identify relation between researches, thus we can develop the time line of the research area. The method can also cluster the researches into nineteen research areas and measure its popularity, importance, affinity to particular...

International Association for Management of Technology IAMOT 2020 Conference Proceedings, 2020

The present work intends to be an extension of innovation studies on the current characteristics of technological change and its possible effects on the roles and functioning of the interaction of the actors that make up the National Innovation System (NIS). With this paper, it provides information to strengthen innovation management strategies in relation to environmental changes (Digitalization). For this, it has considered the qualitative analysis and identification of new elements that could be characterizing the digitalization, understood as "a new technological path"; and its power of transformation in the interaction and operation of innovation actors. One of the components with greater recurrence that is analysed in this work, is related to the speed and confluence of the technological developments that are generated by digitalization. Specifically, the work managed to characterize the dynamism of the theoretical approach to technological change making a longitudinal analysis until the era of digitalization and on the other hand, new variables could be identified, which alter the form of organization of the NIS actors and that can possibly generate new arrangements in the interaction process of the actors. Also, it is observed that the variables identified are very distinctive of other innovation variables identified previously in the approaches of actors of the Schumpeterian and neo-Schumpeterian current, but nevertheless they appear articulated so much with the principles of the approach of creative destruction as of the own dynamics that acquires the innovation. This new dynamic of technological change influences the effectiveness of the national innovation policy and strategy. The results of the work were achieved through the use of qualitative analysis and a temporal and longitudinal analysis of the technological progress.

2018

Given that a significant portion of the economic activities are carried out by small and medium enterprises in most countries of the world, government will always support them logically by different policies in order to enhance their competitiveness so that they can be active in the legal competitiveness so that they can be active in the legal competitive market themselves. According to research, cluster making in term of industrial clusters is one of the methods which have gained useful experience in increasing competitive capability of small and medium enterprises. The fact that all economic activities are based on knowledge, but knowledge-based services and industries are symbols of acquiring knowledge and technology, regarded as knowledge, and are considered as indicators of measuring academic and technological and capability of a country. Modern and advanced technologies lead to increasing the efficiency, productivity and competitiveness of a country. In this paper, in addition of introducing clusters and cluster making, will investigate and review the ways of formation, evolution and all kinds of cluster; cluster evolution suggests that in addition of longitudinal and transverse relationship among enterprises in term of industrial cluster, a new approach has been formed for clustering based on a new attitude in which there is a close relationship among enterprises and their way of organizing the space. This space arrangement allowing providing knowledge-based industries concentration, are known as technology clusters. Therefore, we will consider the discrimination among industrial and technology cluster and identifying the prerequisites and infrastructures of forming a technology cluster. So, indicators and requirements of a technology cluster are known with review of research and survey among the related experts and active clusters in Iran which are the same with technology cluster to some extent. In the following, using multi-criteria decision making, TOPSIS of the current clusters are ranked; thus best Tech clusters are identified and finally technology will provide solutions for the development of industrial clusters.

WAIMS VOLUME 1 ISSUE 5, 2012

Our Nation's economic growth depends on our capacity to educate, innovate, and build. Long-term national investments in basic and applied research and development (R&D) play an important role in the flow of market-based innovations through a complex system that leverages the combined talents of scientists and engineers, entrepreneurs, business managers and industrialists. These funds have led to everything from small entrepreneurial initiatives to growth in high technology industries with the concomitant employment of millions of workers. The large impact on employment results from innovation impacts not only in high tech enterprises, but also other industries that benefit from increased capabilities and productivity. The present paper envisages the important aspects in the development in Science and Technology. Mutually reinforcing and complementary investments in R & D by both private and public sectors work in concert to support the development, production, and commercialization of new products and processes. Investment in R&D is not the only factor that affects the rate of and capacity for innovation, public policies, including monetary policy, tax policy, standards, procurement, regulatory policy, the availability of a skilled technical workforce, and market access are also important in establishing an environment that fosters innovation. Given this critical time in our Nation's economic trajectory, careful consideration of our portfolio of innovation policies including R&D investment practices and public policy is needed to foster national prosperity and to increase national access to the global economy.

7th Global TechMining Conference (GTM), 2017

Prof. Dr. Iwasan D. Kejawa, 2020

Research has shown that modalities of technology research development are the qualitative and the quantitative projections of the management outcomes. Since there are enormous entities of development involve in the evolvement of results, therefore it must be stated clearly at the early stage what is expected of research. That is, hypothesis must exist. It has been made known that technology management research rests solely on the common awareness of its solitude. It is very importance to have innovative goals as to the disposal of the results. To develop a product is an important part of technology management research and preparedness of surviving in the society. Technology development research is part of sailing through life. The involvement of research is based on the philosophical ideologies of sociological, economical, psychological, and political stability in the society. The globalization of ethical prowess remained is an important aspect of research development in the society (Kejawa, 2014). The facts that technology research development is an important issue are surrounded by the ideologies of individualism (Kejawa, 2013)

This paper develops and applies a foresight methodology that accounts for both the systemic character and the inherent uncertainty of emerging technology. An effort has been made in this direction by combining the 'cluster approach', a relatively recent policy instrument that is built on a systemic perspective on innovation, with 'technology roadmapping', a business strategy instrument that is used in firms to cope with the turbulent character of technology selection and innovation. The combination of these two approaches is expected to enrich the cluster approach and make it fit for emerging technologies. The combined roadmapping-cluster approach is applied to a new nanocoating field in Germany.

Procedia - Social and Behavioral Sciences, 2015

Researches on technological development and innovation indicators that are used as different criteria for measurement such as multivariate statistics methods have increased rapidly in the field of social sciences since 1990s. The concept of indicators is an interesting field of science, which are used to inform us about things that are difficult to measure. Indicators for technology development and innovation may be defined as statistics, which measure quantifiable aspects of technological development and innovation creation. In this research, indicators help us to describe technological development and innovation clearly and enable us to have a better understanding of the impact of policies and programs on technological development and innovation and on the society and the economy in general. The objective of the present paper is to examine whether technological development indicators, which are used as a proxy for economic growth, innovation and the development level of countries, are influenced by the used variables in this analysis. The study is conducted by using a very large data set. It covers a monthly time period of 1996 and 2011. The study includes a variety of variables such as research and development expenditure (RDE), high-technology exports (HTE), long-term unemployment (LTU), patent applications-residents (PA), patent applications-nonresidents (PAF), health expenditure (HE), GNI per capita (PPP), share of women employed in the non-agricultural sector (SWE), stocks traded (ST), internet users (IU), scientific and technical journal articles (STJ). The empirical results which were obtained by using MDS (Multidimensional Scaling) and HCA (Hierarchical Cluster Analysis) methods suggest that the variables of RDE, PA, HE, PPP, SWE, IU and STJ have significant impacts on technological development and innovation and should be reviewed all together.

The development of new technology has been identified as one of the key enablers to support business and economic growth in developed countries. For example, the United Kingdom (UK) has invested £968 Million into the creation of Catapult centres to provide 'pull through' of low Technology Readiness Level (TRL) research and science. While these Catapults have been instrumental in developing new technologies, the uptake of new technology within industry remains a considerable challenge. One of the reasons for this is that of skills and competencies, and in particular, defining the new skills and competencies necessary to effectively apply and operate the new technology within the context of the business. Addressing this issue is non-trivial because the skills and competencies cannot be defined a priori and will evolve with the maturity of the technology. Therefore, there is a need to create methods that enable the elicitation and definition of skills and competen-cies that co-evolve with new technology development, and what are referred to herein as knowledge structures. To meet this challenge, this paper reports the results from a dynamic co-word network analysis of the technical documentation from New Technology Development (NTD) programmes at the National Composites Centre (NCC). Through this analysis, emerging knowledge structures can be identified and monitored, and be used to inform industry on the skills & competencies required for a technology .