Anticipating converging industries using publicly available data

Curran, Clive-Steven; Bröring, Stefanie; Leker, Jens

doi:10.1016/j.techfore.2009.10.002

Cited by 169 publications

(143 citation statements)

References 44 publications

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“…This observation echoes the findings of a few recent studies (Allarakhia and Walsh, 2011;AmirAslani and Mangematin, 2010;Curran et al, 2010;Linstone, 2011), which see the future of drug discovery and development in the convergence of technologies and in the trend towards personalized medicine. During the first phase after new technologies are introduced, the discontinuities they represent are not enough to induce major changes in the industry or to usher in a new logic:the industry logic remains as it was, and new ventures participate in value creation within existing value chain structures.…”

Section: Resultssupporting

confidence: 86%

When technological discontinuities and disruptive business models challenge dominant industry logics: Insights from the drugs industry

Sabatier

Craig-Kennard²,

Mangematin

2012

Technological Forecasting and Social Change

134

109

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Section: Resultssupporting

confidence: 86%

When technological discontinuities and disruptive business models challenge dominant industry logics: Insights from the drugs industry

Sabatier

Craig-Kennard²,

Mangematin

2012

Technological Forecasting and Social Change

134

109

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“…To estimate industry convergence the early methods often use Standard Industrial Classification (SIC) code linking to IPC code [6,32,33], and then some scholars including Curran et al (2010) [34] and Karvonen et al (2012) [14] have developed the method more elaborately. Along with this, a method to measure convergence through inter-industry relation by using input-output table is emerged [35].…”

Section: Measurement Of the Industry Convergencementioning

confidence: 99%

A Study on Diffusion Pattern of Technology Convergence: Patent Analysis for Korea

2015

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Technology convergence indicates that technologies of different application areas are converted into a new and common unity of technology. Its range spans from inter-field, whereby technologies are converged between heterogeneous fields in homogeneous sector, to a wider inter-sector, whereby technologies belong to heterogeneous technology sector are converged. This paper determined the definition of technology convergence from previous literature and classified patents into technology category depending on patent information. Furthermore, we empirically measure technology convergence degree based on co-classification analysis and estimate its diffusion trend at the entire technology domain level by using overall 1,476,967 of patents filed to the KIPO (Korean Intellectual Property Office) from 1998 to 2010. As a result, potential size and growth rate of technology convergence are varied by both technology and type of technology convergence, i.e., inter-field and inter-sector technology convergence. Diffusion pattern of inter-sector technology convergence appears as the more various form than that of inter-field technology convergence. In a relationship between potential size and growth rate of technology convergence, growth rate of technology convergence is in inverse proportion to potential size of technology convergence in general. That is, the faster the growth rate of technology convergence, the smaller the potential size of technology convergence. In addition, this paper found that technology convergence of the OPEN ACCESSSustainability 2015, 7 11547 instrument and chemistry sector is actively progressing in both inter-field and inter-sector convergence, while the technologies related to Information and Communication Technology (ICT) in electrical engineering sector have relatively mature progress of technology convergence, especially in inter-sector technology convergence.

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“…In this regard, existing studies examine the sources of industry convergence and suggest two major precursors of industry convergence: first, technology convergence [1,9,14,26,27] and, second, applicational convergence [5,10,23,[28][29][30][31][32] (other researchers call this type of convergence "market convergence" [1,7,15]). Technology convergence generated by the combination of extant technologies replaces established technological paradigms, resulting in industry convergence that will disrupt the value chain of the existing industry [10].…”

Section: Literature Reviewmentioning

confidence: 99%

“…As shown in Table 1, previous studies have suggested how to measure industry convergence, most of them by carrying out co-classification analysis, citation analysis, or industry-technology concordance analysis of patent information [1,6,7,14,23,27,44]. For example, Curran and Leker [1] suggest an international patent classification (IPC) co-classification analysis to investigate industry convergence in nutraceuticals and functional foods, while Karvonen and Kässi [44] provide a patent citation analysis to identify overlapping technologies in the computer, audiovisual, semiconductor, and optics industries.…”

Section: Literature Reviewmentioning

confidence: 99%

Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data

et al. 2016

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Firms in high-technology industries have faced great technological and market uncertainty and volatility in the past few decades. In order to be competitive and sustainable in this environment, firms have been pursuing technological innovation, product differentiation, vertical integration, and alliances, which eventually drive industry convergence, defined as the process of blurring boundaries between previously distinct industries. Although industry convergence has greatly affected industrial structure and the economy, little research has investigated this phenomenon, especially its diffusion patterns; thus, it is still unclear which industries are converging more rapidly or have a higher potential for convergence. This paper explores these issues by investigating industry convergence in U.S. high-technology industries, using a large set of newspaper articles from 1987 to 2012. We perform a co-occurrence-based analysis to obtain information on industry convergence and estimate its diffusion patterns using an internal-influence logistic model. We find heterogeneous diffusion patterns, depending on convergent-industry pairs and their wide dispersion. In addition, we find that the potential degree of industry convergence is significantly negatively associated with its growth rate, which indicates that a great deal of time will be required for industry convergence between high-technology industries with this high potential to achieve a high degree of convergence.

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Anticipating converging industries using publicly available data

Cited by 169 publications

References 44 publications

When technological discontinuities and disruptive business models challenge dominant industry logics: Insights from the drugs industry

When technological discontinuities and disruptive business models challenge dominant industry logics: Insights from the drugs industry

A Study on Diffusion Pattern of Technology Convergence: Patent Analysis for Korea

Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data

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