The FinFET Breakthrough and Networks of Innovation in the Semiconductor Industry, 1980–2005: Applying Digital Tools to the History of Technology

O’Reagan, Douglas; Fleming, Lee

doi:10.1353/tech.2018.0029

Cited by 6 publications

(2 citation statements)

References 37 publications

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“…The use of video has also been strongly tied to promoting greater Digital oral history towards a new research paradigm engagement with OH archives, and as an enhancement to access and 'digital storytelling', including in education (Christel et al, 2010;High, 2010;Kaufman, 2013;Gould and Gradowski, 2014). Most of the literature surveyed on the use of digital methods for analysing OH or spoken word collections focuses on various text-based analyses such as social network analysis and text-mining (McKether et al, 2009;Verd andLozares, 2014, McKether andFriese, 2016;O'Reagan and Fleming, 2018), semantic networking (Pattuelli and Miller, 2015), topic modelling and tagging, and datavisualization (Ohno et al, 2010;Paju et al, 2011;Xiao et al, 2013).…”

Section: Doh: the State Of The Artmentioning

confidence: 99%

Exploring the possibilities of Thomson’s fourth paradigm transformation—The case for a multimodal approach to digital oral history?

Smyth¹,

Nyhan

Flinn³

2023

Digital Scholarship in the Humanities

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This article seeks to reorientate ‘digital oral history’ towards a new research paradigm, Multimodal Digital Oral History (MDOH), and in so doing it seeks to build upon Alistair Thomson’s (Thomson, A., 2007, Four paradigm transformations in oral history. Oral History Review, 34(1): 49–70.) characterization of a ‘dizzying digital revolution’ and paradigmatic transformation in oral history (OH). Calling for a recalibration of the current dominance of the textual transcript, and for active engagement with the oral, aural, and sonic affordances of both retro-digitized and born digital OH (DOH) collections, we call for a re-orientation of the digital from passive to generative and self-reflexive in the human–machine study of spoken word recordings. First, we take stock of the field of DOH as it is currently conceived and the ways in which it has or has not answered calls for a return to the orality of the interview by digital means. Secondly, we address the predominant trend of working with transcriptions in digital analysis of spoken word recordings and the tools being used by oral historians. Thirdly, we ask about the emerging possibilities—tools and experimental methodologies—for sonic analysis of spoken word collections within and beyond OH, looking to intersections with digital humanities, sociolinguistics, and sound studies. Lastly, we consider ethical questions and practicalities concomitant with data-driven methods, analyses and technologies like AI for the study of sonic research artefacts, reflections that dovetail with digital hermeneutics and digital tool criticism and point towards a new MDOH departure, a sub-field that has potential to inform the many fields that seek patterns in audio, audio-visual, and post-textual materials, serially and at scale.

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Section: Doh: the State Of The Artmentioning

confidence: 99%

Exploring the possibilities of Thomson’s fourth paradigm transformation—The case for a multimodal approach to digital oral history?

Smyth¹,

Nyhan

Flinn³

2023

Digital Scholarship in the Humanities

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“…In environments of high uncertainty, firms would not expect to achieve high performance due to high competition. The semiconductor industry is one of the most highly competitive industries in the development of new technologies and products [1,2]. The semiconductor industry invests a lot of capital and requires a certain amount of time from investment to production, and the risk of investment is high due to rapid technological change and short product life cycle [3].…”

Section: Introductionmentioning

confidence: 99%

The Effects of Knowledge Assets and Path Dependence in Innovations on Firm Value in the Korean Semiconductor Industry

Cho

2020

Sustainability

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This study investigated whether firms' knowledge assets and path dependence in their innovations affect firm value. For the analysis, I used 37 firms in the semiconductor industry in Korea. These firms were listed on the Korea Stock Exchange and the Korea Securities Dealers Association Automated Quotation as of 2010 and through 2015. The dependent variable was measured by return on assets as firm value, and the ordinary least squares estimation was used. The results showed that a firm's knowledge assets have a positive effect on firm value. In addition, when a firm creates new knowledge, if the firm follows path dependence by using its own knowledge, it has a positive effect on firm value. By contrast, when a firm conducts innovations using knowledge created by other firms, it has no effect on the value of the firm. Additionally, I found that technological innovation based on knowledge assets and path dependence has a positive effect on firm value in the short term but has no effect in the medium term. Thus, firms need to continue their innovation to maintain their competitive advantage and to use their existing knowledge in innovation in order to have high performance.

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The growth patterns of firms in the industrial value chain using the hidden markov model: Evidence from the Korean semiconductor industry

Ryu,

Kwak,

Lee

2024

Computers & Industrial Engineering

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The FinFET Breakthrough and Networks of Innovation in the Semiconductor Industry, 1980–2005: Applying Digital Tools to the History of Technology

Cited by 6 publications

References 37 publications

Exploring the possibilities of Thomson’s fourth paradigm transformation—The case for a multimodal approach to digital oral history?

Exploring the possibilities of Thomson’s fourth paradigm transformation—The case for a multimodal approach to digital oral history?

The Effects of Knowledge Assets and Path Dependence in Innovations on Firm Value in the Korean Semiconductor Industry

The growth patterns of firms in the industrial value chain using the hidden markov model: Evidence from the Korean semiconductor industry

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