Search results

The purpose of this paper is to create a vision and obtain a consensus on Taiwan's nanotechnology industry in three dimensions (the 2007 situation, the R&D maturation time, and the 2020 scenario). It then seeks to foster a set of development strategies for Taiwan in 2020.

A Delphi‐based foresight study together with an expert discussion meeting has been conducted to obtain a consensus for Taiwan nanotechnology in 2020.

The paper provides the results of the first Delphi‐based survey on Taiwan nanotechnology development. The Nano Bio Medicine domain has greater maturity; the maturation time of most techniques will be 2010‐2015; Nanocomposite Material Technique, Nano Optoelectronic and Optical Communication, and Nano Storage show relatively high competitiveness. Self‐R&D and Technology introduced from overseas are the major development methods in 2020.

The paper is of interest to foresight practitioners and policy makers at the industrial and government levels in Taiwan.

The paper is the first publication to identify Taiwan's 2020 nanotechnology development by Delphi‐based foresight investigation.

No one knows what the future holds. Not least for substance use and addictions. Few predicted the psychedelic movement in the 1960s, the crack ‘epidemic’ in the 1980s and the ‘E’ generation of the 1990s ‐ all of which had a profound influence on our culture, youth and our health. So what of the Naughties, Teenies and Twenties? With increased globalisation, new technologies, increasing spending power and the scope for increased pleasure‐seeking we are destined for more and new addictions. In this groundbreaking article, Jane Mounteney applies the technique of scenario planning to investigate a future dominated by technology, smart and nanodrugs and an ever‐increasing availability of drugs. With the emergence of the super nerd and groovy geek, who will be there to help the fallen?

The purpose of this paper is to highlight the use of big data through patentometric insights for R&D decision-making.

This study assesses the inventive activity through ‘big data’ patents, registered by inventors worldwide, using WIPO Patentscope database. The objective is to use the insights from patentometrics for R&D decision-making. The data from WIPO PatentScope (https://patentscope.wipo.int/search/en/search.jsf) was searched for current patent scenario in area of ‘big data’. The data was further organized and cleaned using the Google ‘OpenRefine’. Data was pre-processed to remove all null values. Cleaned data was analyzed using programming language ‘R’, MS Excel (charts and Pivot tables) and free data visualization tool called ‘Tableau Public’, to get insights for R&D decision-making.

The key insights included trends (patents with years of publication), top technologies trending the current space, top organizations leading in these technologies and the top inventors who are publishing patents in these technologies through leading organizations were drawn. Details in Section 5 in the paper.

Global patent data is multi-lingual and spreads across a set of multiple databases. Domain experts may be required to assess, identify and extract the relevant information for analysis and visualization of multi-lingual distributed data sets. Government organizations generally have multi-dimensional goals that may be more toward societal benefits. On the other hand, the commercial companies are more focused on profit. Therefore, the performance management process has to be really effective because it is critical for getting value in the government sector.

Insights from patent analytics serve as the important input to R&D managers as well as policymakers to assess the global needs to plan the national orientation according to the global market. This will help further for R&D projects prioritization, planning, budget allocations, human capital planning and other gamut of R&D management and decision-making.

Facilitation for R&D institutions (government as well as private) to formulate the research strategy for the domains or research areas to delve into. R&D decisions will be completely data-driven making them more accurate, reliable, valid and informed. These insights are very relevant for policymakers as well to facilitate the need assessment to determine the National priorities, make improvements in meeting societal country-level challenges during the resource allocation at top and subsequently at all other levels.

Data analytics of global patents in “big data” till 2019 to get insights to facilitate R&D decision-making.

Legal intermediation is an emerging theoretical concept developed to grasp the importance of the process and actors who contribute to legal endogenization, in particular in the field of economic activities and work governed by various public regulations. This chapter proposes to extend the analytical category of legal intermediary to all actors who, even if they are not legal professionals, deal on a daily basis with legal categories and provisions. In order to deepen our understanding of these actors and their contribution to how organizations frame legality, this chapter investigates four examples of legal intermediaries who are not legal professionals. Based on field surveys conducted over the past 15 years in France on employment policy, industrial relations, occupational health and safety regulation, and forensic economics, I make three contributions. First, the cases show the diversity of legal intermediaries and their growing and increasingly reflexive roles in our complex economies. Second, while they are not legal professionals per se, to different degrees, these legal intermediaries assume roles similar to those of legal professionals such as legislators, judges, lawyers, inspectors, cops, and even clerks. Finally, depending on their level of legitimacy and power, I show how legal intermediaries take part in the process of legal endogenization and how they more broadly frame ordinary legality.

With the fierce competition in a knowledge economy, knowledge-intensive enterprises (KIEs) make technological progress in their catching-up processes through implementing product innovation and process innovation. In this study, the aim is to understand the determinants of enterprise innovation type in China's catch-up environment. Further, this paper intends to deal with two related questions. First, what effect does the internal knowledge base have on KIEs' technology innovation activities? Second, considering the technology gap and technology development speed, what are the different impacts of the knowledge base on the type of technology innovation activities?

This paper collected data from 212 KIEs in China through a two-stage questionnaire survey, combined with statistical data for research. The hypothesis was tested by regression analysis. Specifically, descriptive statistics and regression analysis are introduced to test the hypothetical relationship between the knowledge base and technology innovation. Meanwhile, multiple regression is used to test whether there is any difference in the influence of technology gap and technology development speed on enterprise knowledge base and technology innovation. Finally, the corresponding robustness tests are done.

This study finds that in a sample of Yangtze River Delta KIEs, firms' knowledge base influences innovation types. Specifically, the knowledge base width (KBW) and knowledge base depth (KBD) positively influence process innovation, and KBD positively affects product innovation. Regarding the effects of catch-up context factors on KIEs’ innovation choice, a wide technology gap tends to positively influence product innovation in industries with high levels of KBW. Moreover, when technology development speed is high, its potential positive influence on process innovation will be more significant for industries with deeper knowledge bases.

This paper fills the research gap that existing studies ignore the relationship between types of technology innovation and knowledge base dimensions, especially for KIEs. First, this paper deepens the understanding of the impact mechanism of KIEs' existing knowledge base on innovation activities; the unique use of resources by enterprises is the basis of enterprises' competitive advantage and will become enterprises' competitive advantage. Second, this study indicates that against different backdrops of technology gap and technology development speed, enterprises with different knowledge bases will adopt different types of technology innovation activities. Third, this paper shows that a wider technology gap provides broader innovation space, so the technology gap plays a pulling role in KBW and product innovation, thus pushing forward enterprises' technological catch-up.

The purpose is to report on a Danish nano‐science and nano‐technology foresight project carried out in 2004.

The foresight process had the following key elements: review of international technology foresight projects on nano‐technology; mapping of Danish nano‐science and nano‐technology; broad internet survey among interested parties; expert reports; workshops related to the expert reports; analysis of the dynamics of innovation within nano‐technology; survey on hazards and environmental and ethical aspects; group interviews with members of the public.

The article reflects on the following methodological issues: domain classification and its influence on conclusions; the use of statements or hypotheses; trustworthiness of the foresight process and its recommendations.

Recommendations from the project have already been used in decision‐making on R&D funding and in strategic deliberation in publicly funded institutions conducting R&D. Others are expected to be used for decision‐making, and some are being discussed in research councils and ministries or are being investigated and developed further. Moreover, the foresight process has created broader awareness of, and debate especially about, the hazardous aspects of nano‐technology among researchers and decision makers.

The article contribute the to the European experiences with national level foresight exercises. The case and the findings are of value for science and innovation policy makers, foresight practitioners and scolars within the field.

This paper analyses French and US universities’ organizational responses to the more or less explicit pressures they face to go interdisciplinary. Defining universities as pluralistic organizations, I show that the implementation of interdisciplinary research does not result in well-integrated institutional strategies, but rather combines initiatives from the scientific community and from university leaders. Based on case studies conducted on the development of interdisciplinary nanomedicine in five leading French and US research universities, I identify three settings where the implementation of interdisciplinarity involves shifts in organizational structure – in principal investigator-based research teams and scientific networks, in departmental boundaries, and in institutional structures, and question issues of governance, leadership and resource allocation arising from those shifts. We see similarities between the two countries in terms of how initiatives by “entrepreneurial academics” – searching for funds for interdisciplinary research – and by the university leadership – also searching for funds, and redefining institutional projects around interdisciplinarity – complement each other. We also identify one major difference – with French pro-interdisciplinary university policies being strongly influenced by a political impetus from the French ministry of higher education and research.

It is widely acknowledged that the pace of change due to complexity in the competitive environment coupled with advances in technology and innovation is forcing management to rethink strategy formulation and implementation. The purpose of this paper is to discuss convergence in the context of discontinuous competitive environment and possible management responses to changes.

The findings of this paper are based on the analysis of developments in the biotechnology environment. The disruption to pharmaceutical industry is examined from the context of need served.

The rate of change in innovation is leading to the creation of new industries and the disintegration of the industry classifications due to convergence of multiple needs previously served by different industry groupings. As such, firms have to upgrade their environmental scanning systems to detect competitive forces beyond the traditional industrial competitive boundaries.

The paper provides a comprehensive review of convergence and disruptive technologies

The paper highlights the breakdown of barriers in terms of industry classification. Customer's needs could be served by firms in hitherto distinct industry groupings.