Technological fusion and telemedicine in Japanese companies

Fujimoto, Masayo; Miyazaki, Kôji; Tunzelmann, Nick von

doi:10.1016/s0166-4972(99)00126-1

Cited by 12 publications

(5 citation statements)

References 4 publications

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“…This is a major study in itself which is being developed in a companion paper by the present authors (Fujimoto et al, 2000); here we confine ourselves to drawing on some of the conclusions of that study.…”

Section: Methods and Approachesmentioning

confidence: 88%

Industrial innovation, government and society: telemedicine and healthcare systems in Japan

Fujimoto¹,

Miyazaki

2000

Sci. and Pub. Pol.

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The provision of technologically based services to meet pressing social needs often calls for a broader approach than leaving it to the market. This study examined the development of telemedicine in Japan, focusing on the knowledge transfer from the technology development process to technology usage development, and the dynamics of the participants in this pre-paradigmatic phase. The method employed is a combination of various approaches including political, network perspectives and relationships, and case studies. The results showed that the extent of success or failure appears to hang not on the quality of the technology, and often not on the evident importance of the social need, but on the overall coherence ('alignment') of the highly complex socio-technical system.Figure 5. Communication mechanism of the MINCS-UH Notes: NTSC = National Television System Committee standard DDX = Digital Data Exchange

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Section: Methods and Approachesmentioning

confidence: 88%

Industrial innovation, government and society: telemedicine and healthcare systems in Japan

Fujimoto¹,

Miyazaki

2000

Sci. and Pub. Pol.

Self Cite

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“…• Keywords are a proxy of knowledge (Callon, 1990;Callon, et al, 1992;Fujimoto, Miyazaki & Tunzelmann, 2000;Yoon & Park, 2004;Islam & Miyazaki, 2009;Avila-Robinson & Miyazaki, 2014).…”

Section: Annex 1 Part 2 Methodological Detailsmentioning

confidence: 99%

Evolutionary Path of Development of Artificial Intelligence (AI) and Patterns of Knowledge Convergence over the Second and Third AI Booms

2019

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Although AI was coined by John McCarthy 60 years ago, AI has been confined to the academic and scientific research domain. AI has been through several booms and we have currently reached the 3rd AI boom which followed the 2nd AI boom centering mainly on expert systems. The current AI boom started around 2013 and AI is beginning to affect corporate management and operations. AI has been evolving over six decades but it seems that the current boom is different from the previous booms. In this paper, we attempt to elucidate the evolutionary path of development of AI and the structural patterns of knowledge convergence in the current and previous booms.For this purpose we have set 2 main objectives1) To characterize the first (1B), second (2B) and the current, third (3B) AI boom2) To analyze the structure of knowledge convergence around AIRQ How have the key technologies and the applications of AI changed over time, in the 2B and the 3B? An innovative method has been used to identify the characteristics of AI and the evolutionary path of knowledge convergence over the booms.

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“…A foundation for the common understanding of industry convergence equaling technology convergence is laid out through his paper. On the other hand, Kodama [ [25] insist that there is a significant difference between the terms "convergence" and "fusion," many scholars do not reference both terms in their papers [26]- [30]. We also use both terms interchangeably.…”

Section: Definition Of Ict-based Converging Technologymentioning

confidence: 99%

A Study on the Identification of Cutting-Edge ICT-Based Converging Technologies

Kim¹,

Hwang²

2012

ETRI J

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It is becoming increasingly difficult to identify promising technologies due to the influx of new technologies and the high level of complexity involved in many of these technologies. Identifying promising information and communications technology (ICT)‐based converging technologies holds the key to finding new sources of economic growth and forward momentum. The goal of this study is to identify cutting‐edge ICT‐based converging technologies by examining the latest trends in the US patent market. Analyzing the US patent market, the most competitive of such markets in the world, can yield certain clues about which of the ICT‐based converging technologies may be the next revolutionary technologies. For a classification of these technologies, this study follows the International Patent Classification system. As for ICT, there are 58 related fields at the subclass level and 831 fields at the main‐group level. For emerging and converging technologies, there are 75 at the main‐group level. From these technologies, a final selection for cutting‐edge ICT‐based converging technologies is made using a composite index reflecting the converging coefficient, emerging coefficient, and technology impact index.

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Technological fusion and telemedicine in Japanese companies

Cited by 12 publications

References 4 publications

Industrial innovation, government and society: telemedicine and healthcare systems in Japan

Industrial innovation, government and society: telemedicine and healthcare systems in Japan

Evolutionary Path of Development of Artificial Intelligence (AI) and Patterns of Knowledge Convergence over the Second and Third AI Booms

A Study on the Identification of Cutting-Edge ICT-Based Converging Technologies

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