Technology transfer in the IT industry: A Korean perspective

Recently Korean Government announced ambitious IT strategy to establish Korea as one of leaders in world IT market. To implement this strategy, technology transfer from research lab to market should be successfully performed. This study is to identify factors influencing technology transfer and to examine contribution of these factors on success of technology transfer in Korean IT industry. Survey results show that technology project leaders evaluated “Concreteness of Technology” as the most influential factor for technology transfer, followed by “Communication Channels,” “Collaboration among Participants,” “Management Support,” “Government Support,” and “Incentives for Transfer.” Out of 135 technology transfer projects, respondents rated 33 projects as sustaining (28.44%), 38 as promoting (28.15%), 26 as demonstrating (19.26%), 27 in incubating (20.00%), and the remaining 7 in imaging stage (8.15%). This statistics means that 28.15% of technology transfer projects did not reach production stage. Regression analysis identifies that “Communication Channels,” “Management Support,” “Concreteness of Technology” “Sense of Common Purpose,” and “Awareness of Technology Transfer” were statistically significant in explaining success of technology transfer.     

A study on the relationship between technology diffusion and new product diffusion

This study investigates the relationship between “technology diffusion” and “new product diffusion”. We define “technology diffusion” as a knowledge spillover process, which is represented by patent citation, and “new product diffusion” as the spread of a new product that has been developed by the application of patented technology. To investigate the relationship between the two types of diffusion, we use patent citation data of code division multiple access (CDMA) technology and market sales data of mobile phones in South Korea for the analysis. The results show that the diffusion of technology through patent citation could be successfully explained by empirical analysis, for which the Bass diffusion model was used. Moreover, we can find out if technology diffusion can be the leading indicator of a new product's diffusion before its launching; in other words, before the commercialization of the patent.     

A fuzzy multiple criteria comparison of technology forecasting methods for predicting the new materials development

New materials have been recognized as key drivers for corporate profitability and growth in today's fast changing environments. To predict correctly the development of the new materials becomes a critical issue. However, little has been done in discussing the selection of technology forecasting methods for the new materials development. Accordingly, this study adopted the fuzzy AHP method to obtain professional's opinions on this issue. The efforts result in seven evaluation criteria with one, the “data validity” having the highest weight, followed by “method adaptability” and “technology predictability”. Delphi method and case study method are the two most applicable technology forecasting methods for predicting the new materials development.     

Measuring emerging categories of innovation: Modularity and business model

The oft-cited dichotomy between incremental and radical innovations is less important when we have to analyze how a new technology and its social institution coevolve. In this context, besides incremental and radical innovations, C. Freeman added two more categories of technical change: one is change in the technology system and the other is change in the technoeconomic paradigm.However, as the information technology (IT) revolution progresses further, we come to need more categories of innovations. In the computer industry, the concept of “module” is becoming a solution to growing complexity. In the new IT environment, we can be proactive in demand creation. It becomes crucial, therefore, whether the creation of new “business models” has followed technical innovations. In this article, we will try to demonstrate how these different categories of innovations, i.e., modularization and new business model creation, can be measured.     

Application of technology roadmaps to governmental innovation policy for promoting technology convergence

The Ministry of Economy, Trade and Industry of Japan has actively involved itself in technology roadmapping in recent years in order to build a broad discussion basis for researchers and business-oriented people in academia, industry and government. This unique attempt is not fully tested in the context whether the “public sector's roadmaps” are viable for promoting innovation and for building tight collaborative relationships between different sectors. However, the authors have been widening the application of roadmapping activities from classical R&D management to new ways of promoting technology convergence, in which the Japanese R&D community is said to be not so accustomed. This paper depicts the governmental agency's objectives, activity details and ways of applications of technology roadmaps and roadmapping. The authors' intention is not only to introduce this kind of governmental activity to the MOT world, but rather to ignite discussions on the usefulness and effectiveness of technology roadmaps and roadmapping in a wide range of knowledge sharing.     

Investing in innovation to enable global competitiveness: The case of Portugal

The concept of leveraged innovation to create wealth within regions, countries and economies is not a new concept. Competitiveness of regions in the increasingly global economy now requires not only that innovation be present within a regional economy, but also that mechanisms exist to effectively transfer those developed innovations from the research laboratory to the marketplace. It is surmised that increased innovation, and the transfer of this innovation, can lead to increased prosperity of regions (Porter). As such, many developing countries around the world are looking at investments in innovation as a means to spur regional economic development and wealth creation while preserving national competitiveness. That said, innovation investment is by no means an exact science. Historically, typical “innovation investments” have been focused on “tangible” capital infrastructure projects such as the establishment of incubators and science parks. While many regions point to the existence of such tangible innovation assets as proof of investment in innovation, it has been discovered that in some cases, an investment in the capacity building of human networks to engage in technology transfer and commercialization related activities can act as a stronger facilitator for the transformation of economies and produce a larger return on investment in innovation for the country. Given not only Portugal's, but other regions throughout the EU-Zone, recent financial and economic woes, it bears examination on whether investing in the innovation and technology transfer knowledge and “know how” of key human networks within a struggling economy is a worthwhile investment for financially struggling countries during the current times of fiscal crisis.     

Scenarios of technology and innovation policies in Europe: Investigating future governance

In Europe, public research, technology and innovation policies are no longer exclusively in the hands of national authorities: increasingly, national initiatives are supplemented by, or even competing with, regional innovation policies or transnational programmes, in particular the activities of the European Union. At the same time, industrial innovation increasingly occurs within international networks. Are we witnessing a change of governance in European innovation policy? Based on some theoretical assumptions concerning the relationship between the “political systems” and “innovation systems” in Europe, the paper speculates about the future governance of innovation policies, trying to pave ways for empirical analyses. It sketches three scenarios stretching from (1) the idea of an increasingly centralised and dominating European innovation policy arena to (2) the opposite, i.e., a progressive decentralisation and open competition between partly strengthened, partly weakened national or regional innovation systems and finally to (3) the vision of a centrally “mediated” mixture of competition and cooperation between diverse regional innovation cultures and a related governance structure.     

Technology foresight for a vision of energy sector development in Poland till 2030. Delphi survey as an element of technology foresighting

The security of energy supply at national level is one of the most fundamental missions of every government. This task becomes especially vital in view of the current situation on global energy markets. The planning of technological development in the energy and fuel sectors is a relevant element of energy security strategies. This in turn leads to a more rational and efficient energy use in the future. Technology foresight, which emerged as a proven instrument of technology policy during the 1950s, becomes nowadays one of the essential tools for the creation of the future technological development worldwide. A project entitled: “The Scenarios of Technological Development of Fuel and Energy Sector for National Energy Security” was the first foresight project in the field of energy technologies and at the same time the first technology foresight activity in Poland. This project was being carried out in the period of 2006-2007 by a consortium of research and development institutes on the request of the Polish Ministry of Economy. The aim of the project was to indicate energy and fuel sector development directions in the time horizon up to 2030 and identify key energy technologies of strategic importance. As a result of the foresight activity, technology development scenarios in the energy and fuel sector in Poland as well as corresponding roadmaps for their implementation were formulated. The project results should be helpful in drafting national energy policies and they will indicate priority pathways of research and development (R&D) activities in the next years.The energy foresight project was based mainly on a Delphi method that is nowadays widely applied as a valuable foresight tool. This future-oriented intuitive method was engaged for the qualitative and quantitative assessment of probable developments in the future and for their time scale evaluation as well. In this article, the results of the conducted two-round Delphi survey were presented.     

Is inventor network structure a predictor of cluster evolution?

Geographical clusters are significant drivers of regional economic growth and competitiveness in today's economy. Recent studies have shown that geographically limited knowledge diffusion which results from inventor movements within clusters is a facilitating factor to regional innovation output and therefore to the development of clusters. However, it remains unclear whether the dynamics of inventor movements can be used as an indicator for different stages of cluster progression. In this study, using patent co-authorship data, we construct inventor networks for two telecom clusters, New Jersey and Texas. Based on the longitudinal analysis of inventor network properties and interviews with the key inventors maintaining the networks, we seek to gain a better understanding of 1) how the properties of inventor networks across the two clusters reflect their difference in fundamental “typology” of clusters; and 2) are the patterns of inventor network structures and properties over time indicative of the change in viability of the clusters. Our findings suggest that the cluster “typology” is a key factor determining the structure of the inventor networks in a geographical cluster. Over time, as the economic and social conditions of a cluster change, the regional inventor networks change their performance accordingly. Importantly, the cluster “typology” may be a significant moderating factor for the relationship between the inventor network performance and the cluster's development.     

A theory of innovation for process-based innovations such as nanotechnology

Many see Nanotechnology as the technology that will underlie the next Schumpeterian wave creating new opportunities for wealth and job creation. Further it is a process based or materials technology. Yet all currently used models of innovation are based on assembled products or service products and these simply do not recognize the differences in materials products nor the “enabling” nature of Nanotechnologies. If nanotechnology is poised to become the economic engine of this millennium and if current models of innovation, which are utilized, by policy makers and firm based strategist alike are based on technology product paradigms that are dissimilar to the realities of nanotechnology and other process-based technologies then there is cause for concern.Here the authors provide a model and supporting cases demonstrating a new process or materials based innovation model that is based on the tight coupling between product and process innovation of not only Nanotechnology-based products but other process-based products. This is an important finding, because it identifies and remedies a gap in the literature associated with earlier process and product innovation models. For process-based products like materials, food, chemicals and nanotechnologies any change to the manufacturing processes results in significant changes in end product features. The implications of this model to practice are considered.     

From information society to biosociety? On societal waves, developing key technologies, and new professions

The article discusses the possible societal transition from information society toward biosociety. Furthermore, the impacts of this possible transition on professional and educational branches (PEBs) are examined. It is based on the study completed in Lahti Center at the Helsinki University of Technology between years 2001-2003. In the study, the most important developing key technologies were defined and their impacts on professions analysed through the application of Delphi technique. The developing key technology groups were information and communication technology, biotechnology, and material and nanotechnology. In addition, combinations of these technologies, that is, so-called fusion technologies, were also subjects for analysis. The first empirical aim was to analyse the plausibility and the timing of the so-called technological theses. The following technologies (technological theses) were deemed to be the most important ones: highly selective drugs, sensors, integrated technology, biomedical materials, photonic materials, 3G technology, intelligent materials, diagnostics, and virtual reality. The second empirical objective of the study was to analyze the professional and educational impacts of these technologies. Moreover, the article takes an experimental glance into the future through the creation and evaluation of “future professions”.     

Diversity and integration of science and technology policies

This paper discusses recent conceptual approaches to technical change, based on an emerging diversity of policies and increasing “institutional specialization” and clarification of the role of the private and public incentives to support S&T. This fact is reflected in the trend in developed economies towards increasing private investment in science and technology and we argue for the need to promote public policies in modern societies fostering competence building.This broad concept has motivated the work behind the present special issue, which was launched during the 6th International Conference on Technology Policy and Innovation (ICTPI), hold in Monterey, Mexico, in the summer of 2003. Under the broad designation of “Connecting People, Ideas, and Resources across Communities” the Conference brought together a range of experts to discuss technology, policy and management in a context much influenced by a dynamic of change and a necessary balance between the creation and diffusion of knowledge. Thus, this special issue includes a set of extended and revised contributions to the Monterey conference that are largely grounded on empirical experiences of different regional and national contexts. The aim of this introductory paper is to set the stage for these contributions, with an original contribution on possible views for emerging science and technology policies.     

A two-pillar DSGE monetary policy model for the euro area

The current financial crisis has revived the interest for monitoring both monetary and credit developments. Over the past two decades, consistent with the adoption of inflation targeting strategies by a growing number of central banks and the development of New Keynesian models for which monetary aggregates are largely irrelevant, money and credit have been progressively neglected in the conduct of monetary policy. A striking exception has been the Eurosystem, which has implemented a strategy known as the “two-pillar monetary policy strategy” giving a prominent role for money. In this paper, we develop a small optimizing model based on Ireland (2004), estimated on euro area data and featuring this two-pillar strategy. We evaluate an ECB-style cross-checking policy rule in a DSGE model with real balance effects of money. We find some evidence that indeed money plays a non-trivial role in explaining the euro area business cycle. This provides a rationale for the central bank to factor in monetary developments but also raises some issues regarding the reliability of M3 as an appropriate monetary indicator. We find some evidence that the ECB has systematically reacted to a filtered measure of money growth but weak evidence it has reacted more aggressively during excess money growth periods.     

What matters in technology leakage in small and medium enterprises: the case of Korea

Technology leakage in small and medium enterprises (SMEs) is a critical issue because while the number of main technologies in SMEs is small, these technologies are crucial to their survival. Related factors must be identified to prevent technology leakage from SMEs. In this paper, we use logistic regression to find significant factors in Korean SMEs, focusing on three aspects: characteristics of the technology, prevention strategy, and firm’s R&D characteristics. We use a survey conducted by related national institutions. According to the results of our empirical study, interaction effects among the factors of technology characteristics have highly significant effects on technology leakage. In particular, the interaction effect between the time needed to imitate the technology and the stage of business growth appears to have the highest influence on technology leakage. Based on our results, detailed strategies for preventing technology leakage are inferred in order to help SMEs prioritise their resources.     

Technological innovation and diffusion of wind power in Japan

The purpose of this paper is to analyze the diffusion of wind power in Japan by focusing on the value chain and the interaction between technology and markets and to contribute towards recommendations on technology policy and management. This paper proposes a framework for analyzing the early stage diffusion of wind power systems by combining the use of several approaches considering wind power system as a complex technological system. Firstly, the business system approach is used as an analytical framework by focusing on efficiency, effectiveness and development criteria. As a second approach, the technological trajectory was analyzed based on the concept of technological disequilibrium and the evolutionary patterns of innovation of wind power generation systems were analyzed and the relationship between innovations at the sub-system, modular, and system level was identified. We apply the framework to investigate why wind power diffusion has not picked up momentum in Japan.The results include the following: (1) Technological imbalances within the product system were solved by technological innovation (2) The wind power business in Japan is insufficiently effective due to organizational disequilibrium (3) The technology system has begun to evolve in the direction of micro grid systems. (4) It is important to consider the demand-pull measures for wind power generation so that Japanese institution can have a “time slot” for ”learning by doing” to catch up and accelerate diffusion of wind power generation, including institutional reform of RPS law. Also further technological development related to stabilizing unstable wind energy is required.     

Evaluating the effects of area closure for recreational fishing in a coral reef ecosystem: The benefits of an integrated economic and biophysical modeling

This paper presents an integrated agent-based model of recreational fishing behavior within a reef ecosystem as a platform for the evaluation of recreational fishing management strategies. Angler behavior is described using econometrically estimated site choice models, with site choice among anglers driven by site attributes and angler characteristics. The biophysical model represents the marine reef environment as a system with different trophic levels identifying algal and coral growth as well as two types of fish (piscivores and herbivores). Ecosystem dynamics are driven by interactions within the trophic levels and interaction between fish populations and fishing activities.The model is used to simulate recreational fishing activities and their interactions with the environment. Recreational fishing sites from the Ningaloo Marine Park, an iconic coral reef system in Western Australia, are used as a case study. A set of management strategies, including “business-as-usual” and different site closure durations, are assessed for two different levels of fishing pressures. The results show that not only the effectiveness but also the distribution of management impacts across space and over time can be very different from what one would expect without the benefit of integrated modeling.     

Linking technology intelligence to open innovation

The explosive growth of the Internet has led to a dramatic increase in data sources for (competitive) technology intelligence. Appropriate implementation and use of IT tools to gather and analyze these data is of key importance for the creation of actionable technology intelligence. A strategy to optimize investments in the identified technologies becomes of paramount importance if an organization wants to match knowledge and ideas originating from outside of the organization with internal core competences. Such a strategy can create competitive advantage by effectively linking technology intelligence to open innovation.We show how VIB, a life sciences research organization, has established technology intelligence processes to identify a multitude of external technologies of interest, which are subsequently “probed” for their potential and fit with VIB using real options reasoning, thereby supporting open innovation. Our methodology may be useful for other organizations which are considering implementing open innovation approaches.     

Using scenarios for roadmapping: The case of clean production

Roadmapping and scenarios are two widely used futures techniques which help R&D managers set priorities for research. These techniques are combined in a Foresight exercise assessing development of clean production in metal manufacturing, drawing on the European CLEANPROD project. The aim of the project is to develop a set of roadmaps for metal processing R&D to achieve breakthrough sustainability — “clean production”.Scenarios, a frequently used Foresight method, are used to set the context for the exercise, inform the design of technology roadmaps and influence the wider policy context. Roadmaps are developed for three process areas of metal manufacture - surface preparation, machining and coating - on four levels including long run visions up to 2020, interim targets up to 2015, key R&D areas and specific project topics. Roadmaps are appraised in the light of alternative scenarios on the future of manufacturing. Promoting sustainability highlights gaps in a “business as usual” roadmap, suggesting a different portfolio of research projects. A revised overall scenario is used to shape public policy.R&D teams usually adopt one particular methodology to support resource allocation. However joint use of futures techniques helps if there is uncertainty over competing alternative technologies. Roadmapping often focuses on a single future. Scenario building as a Foresight technique introduces “multiple futures” thinking.     

Backcasting for sustainability: Introduction to the special issue

In this introductory paper we introduce the special issue on “Backcasting for Sustainability”. We present briefly a historical background, and position backcasting in the wider context of future studies, in which it can be related to “normative forecasting” and normative scenarios. We reflect on the diversity and variety of backcasting studies and experiments, as presented in the ten papers for this special issue. After summarizing the papers we formulate a future research agenda.     

技术模仿、技术创新的战略选择模型和经济增长

一国技术水平程度的高低在很大程度上影响和决定了该国经济发展的水平和经济增长的速度,技术水平提高的途径主要有两种:技术模仿和技术创新.但技术创新并不只是发达国家的"专利",技术创新除了与人均资本存量和人均人力资本水平有关外,也与总体的人均资本存量和人力资本水平有关.本文将国家技术发展战略分为四类,并给出了各种不同技术发展战略的情景条件.