Knowledge recombination for emerging technological innovations: The case of green shipping

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Knowledge recombination for emerging technological innovations : The case of green shipping. / Tsouri, Maria; Hansen, Teis; Hanson, Jens; Steen, Markus.

In: Technovation, Vol. 114, 102454, 2022.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Tsouri, M, Hansen, T, Hanson, J & Steen, M 2022, 'Knowledge recombination for emerging technological innovations: The case of green shipping', Technovation, vol. 114, 102454. https://doi.org/10.1016/j.technovation.2022.102454

APA

Tsouri, M., Hansen, T., Hanson, J., & Steen, M. (2022). Knowledge recombination for emerging technological innovations: The case of green shipping. Technovation, 114, [102454]. https://doi.org/10.1016/j.technovation.2022.102454

Vancouver

Tsouri M, Hansen T, Hanson J, Steen M. Knowledge recombination for emerging technological innovations: The case of green shipping. Technovation. 2022;114. 102454. https://doi.org/10.1016/j.technovation.2022.102454

Author

Tsouri, Maria ; Hansen, Teis ; Hanson, Jens ; Steen, Markus. / Knowledge recombination for emerging technological innovations : The case of green shipping. In: Technovation. 2022 ; Vol. 114.

Bibtex

@article{768d3dcc5b944cf19bea08bb998101bb,
title = "Knowledge recombination for emerging technological innovations: The case of green shipping",
abstract = "The paper explores knowledge recombination by analysing how knowledge networks in established technological fields influenced the formation of the emerging field of green shipping in the period 2007–2018. Previous research has demonstrated that embeddedness, proximity, and status are important mechanisms for the evolution of single technological fields. We investigate if these mechanisms also apply across technological fields. By employing dynamic social network analysis models, we find that actors transferred knowledge across technological fields through (re)combination mechanisms, which affected the emergence of the new technological field, but in different ways. While embeddedness and proximity played an important role, status was less important.",
keywords = "Emerging technologies, Knowledge recombination, Network evolution",
author = "Maria Tsouri and Teis Hansen and Jens Hanson and Markus Steen",
note = "Publisher Copyright: {\textcopyright} 2022",
year = "2022",
doi = "10.1016/j.technovation.2022.102454",
language = "English",
volume = "114",
journal = "Technovation",
issn = "0166-4972",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - Knowledge recombination for emerging technological innovations

T2 - The case of green shipping

AU - Tsouri, Maria

AU - Hansen, Teis

AU - Hanson, Jens

AU - Steen, Markus

N1 - Publisher Copyright: © 2022

PY - 2022

Y1 - 2022

N2 - The paper explores knowledge recombination by analysing how knowledge networks in established technological fields influenced the formation of the emerging field of green shipping in the period 2007–2018. Previous research has demonstrated that embeddedness, proximity, and status are important mechanisms for the evolution of single technological fields. We investigate if these mechanisms also apply across technological fields. By employing dynamic social network analysis models, we find that actors transferred knowledge across technological fields through (re)combination mechanisms, which affected the emergence of the new technological field, but in different ways. While embeddedness and proximity played an important role, status was less important.

AB - The paper explores knowledge recombination by analysing how knowledge networks in established technological fields influenced the formation of the emerging field of green shipping in the period 2007–2018. Previous research has demonstrated that embeddedness, proximity, and status are important mechanisms for the evolution of single technological fields. We investigate if these mechanisms also apply across technological fields. By employing dynamic social network analysis models, we find that actors transferred knowledge across technological fields through (re)combination mechanisms, which affected the emergence of the new technological field, but in different ways. While embeddedness and proximity played an important role, status was less important.

KW - Emerging technologies

KW - Knowledge recombination

KW - Network evolution

U2 - 10.1016/j.technovation.2022.102454

DO - 10.1016/j.technovation.2022.102454

M3 - Journal article

AN - SCOPUS:85122234179

VL - 114

JO - Technovation

JF - Technovation

SN - 0166-4972

M1 - 102454

ER -

ID: 305117207