Measuring venture emergence and survival by analyzing transaction relations in business plans: UUsing network theory constructs and computer-based content analysis to determine the VE status and survival capability of NTBFs

  • Christina Ungerer
  • , Marc Konig
  • , Ferran Giones
  • , Guido Baltes

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstract

This paper broadens the resource-based approach to explaining survival of new technology-based firms (NTBFs) by focusing on the entrepreneur's ability to transform resources in response to triggers resulting from market interactions. Network theory is used to define a construct that allows determining the status of venture emergence (VE).The operationalization of the VE construct is built on the firm's value network maturity in the four market dimensions customer, investor, partner, and human resource. Business plans of NTBFs represent the artifact that contains this data in the form of transaction relation descriptions. Using content analysis, a multi-step combined human and computer coding process has been developed to empirically determine NTBFs' status of VE.Results of the business plan analysis suggests that the level of transaction relations allows to draw conclusions on the status of VE. Moreover, applying the developed process, a business plan coding test shows that the transaction relation based VE status significantly relates to NTBFs' survival capabilities.

OriginalsprogEngelsk
Titel2016 International Conference on Engineering, Technology and Innovation/IEEE lnternational Technology Management Conference, ICE/ITMC 2016 - Proceedings
RedaktørerKjetil Kristensen, Robert Bierwolf, David Romero, Pekka Abrahamsson
ForlagIEEE
Publikationsdatojun. 2016
Artikelnummer9026135
ISBN (Elektronisk)9781509029358
DOI
StatusUdgivet - jun. 2016
Udgivet eksterntJa
Begivenhed22nd International Conference on Engineering, Technology and Innovation/IEEE lnternational Technology Management Conference, ICE/ITMC 2016 - Trondheim, Norge
Varighed: 13. jun. 201615. jun. 2016

Konference

Konference22nd International Conference on Engineering, Technology and Innovation/IEEE lnternational Technology Management Conference, ICE/ITMC 2016
Land/OmrådeNorge
ByTrondheim
Periode13/06/201615/06/2016

Finansiering

ACKNOWLEDGMENT The presentation and the implementation of this work is supported by the CloudSocket project (www.cloudsocket.eu) and has been funded within the European Commission’s H2020 Program under contract number 644690. This research is also supported by the NESTA foundation within the context of the Innovation Growth Lab (IGL) funding initiative. This paper expresses the research of the authors.

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