Employing STN Anavist to Forecast Converging Industries

Curran, Clive-Steven; Leker, Jens

doi:10.1142/s1363919609002455

Cited by 19 publications

(14 citation statements)

References 43 publications

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“…As the steps depicted in Figure 1 are clearly overlapping and are, thus, difficult to separate, we characterized the different phases by specific indicators, e.g. co-citations between different scientific Collaborations Focus of present study fields to identify science convergence, instead of time limits for each phase (Bröring, 2010;Curran and Leker, 2009;Curran and Leker, 2011).…”

Section: Literature Review: Steps Drivers and Types Of Industry Convmentioning

confidence: 99%

A new framework to assess industry convergence in high technology environments

Sick

Preschitschek

Leker³

et al. 2019

Technovation

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The process of convergence, from science and technology convergence to that of markets as well as entire industries can be witnessed in a range of different high technology environments such as IT and NanoBiotech. Although this phenomenon has been subject of analysis in an increasing number of studies, the notion of industry convergence-the final step of a full convergence process-still lacks a common definition. The missing conceptual definition of what industry convergence really is and how it can be assessed impedes both analyses and monitoring-let alone its anticipation. To address the missing conceptual definition of the final step in convergence, this paper seeks to develop a framework based on novel indicators that enable identifying and monitoring trends of industry convergence in high technology environments. Building on indicators in the domain of collaboration, a framework, which distinguishes different stages and types of industry convergence is developed. Subsequently, the newly developed framework is empirically illustrated in the area of stationary energy storage based on publicly available data. To this end, the full text database Nexis is used to conduct a search in news reports on collaborations in the domain of stationary energy storage. The study contributes to the growing body of convergence literature by providing a novel framework allowing the identification of not only industry convergence as the final step of the convergence process but also the classification of its type. Practical implications include an orientation for companies in converging environments on when and how to close the resulting technology and market competence gaps.

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Section: Literature Review: Steps Drivers and Types Of Industry Convmentioning

confidence: 99%

A new framework to assess industry convergence in high technology environments

Sick

Preschitschek

Leker³

et al. 2019

Technovation

Self Cite

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“…A number of studies analyze interconnectivity among disciplines by assessing cross-disciplinary citations in journal articles (Small, 1999; van Leeuwen & Tijssen, 2000; Porter, Cohen, Roessner, & Perreault, 2007; Porter & Rafols, 2009), the co-classification of journal subfields (e.g., Tijssen, 1992; Morillo, Bordons, & Gómez, 2003), or co-wording in journal articles (Palmer, 1999). Industry convergence studies use similar methods; for example, Curran and colleagues (see Curran & Leker, 2009, 2011; Curran, Bröring, & Leker, 2010) define industry convergence as the rate of multi-assignation between industrial fields based on the International Patent Classification.…”

Section: Methodsmentioning

confidence: 99%

Strategic collaboration of R&D entities for technology convergence: Exploring organizational differences within the triple helix

Jeong

2014

Journal of Management & Organization

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Based on a contextual framework of the organizational differences between types of research and development entities, this study examines how organizational contexts affect the advent of technology convergence. It demonstrates the effects of research and development entity types and alliances using the multi-assignation analysis of technology domains and rich data on governmentsupported research and development programs in South Korea. The findings show that technology convergence is likely to occur when a university develops technology alone or in collaboration with another research and development actor. These results reflect the important role of incentive structure and collaboration strategies in increasing the development of converging technologies.

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“…In fact, convergence can be described as an evolutionary process with four stages including knowledge, technology, applicational and industrial convergence [14]. References [8] and [7] modify this model to a sequential process characterized by decreasing distances, which result in structural changes in the respective industries (see Fig. 1).…”

Section: A Convergence Processmentioning

confidence: 99%

“…Industry convergence completes the overall convergence process and is indicated by cross-industrial collaborations, mergers and acquisitions. By assuming an idealized time series of events, full industry convergence will only take place when technologies and markets have also converged [3,7,8,23]. For all steps of this convergence process, different sources and indicators can be used to identify and analyze the respective convergence steps.…”

Section: Market Convergencementioning

confidence: 99%

Market convergence in the field of stationary energy storage systems

Sick¹,

Preschitschek

Bröring

et al. 2015

2015 Portland International Conference on Management of Engineering and Technology (PICMET)

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In order to develop and market powerful stationary energy storage systems, competences of different industries like the battery, chemical, energy, and electronics sector are necessary, which may lead to a convergence of these formerly distinct industries. Therefore, the purpose of this study is to anticipate industry convergence in the area of stationary energy storage by analyzing market convergence. A potential market convergence can be indicated by collaborative activities such as strategic alliances, joint ventures or mergers and acquisitions. As a main source of information on such activities, we use the full text database Nexis® to conduct a search in English news sources referring to collaborations on stationary energy storage systems. As a result, we find signs for an ongoing market convergence, whereby a detailed analysis of collaborations in this field reveals that the mainly involved industries are the battery, electronics and energy industry sectors. In this context, the dominance of cross-industry collaborations indicates that competences from a variety of industries are needed to develop and introduce new solutions for stationary energy storage. Our analyses and findings contribute to the convergence research field by extending the currently scarce body of empirical literature on market convergence and by validating a recently developed analytical framework to anticipate and assess the status of market convergence.

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Employing STN Anavist to Forecast Converging Industries

Cited by 19 publications

References 43 publications

A new framework to assess industry convergence in high technology environments

A new framework to assess industry convergence in high technology environments

Strategic collaboration of R&D entities for technology convergence: Exploring organizational differences within the triple helix

Market convergence in the field of stationary energy storage systems

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