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Firm’s survival, rating and efficiency: new empirical evidence

Firm’s survival, rating and efficiency: new empirical evidence PurposeThe purpose of this paper is to investigate the determinants of firms’ survival during crisis in the Italian automotive value chain.Design/methodology/approachThe authors propose a survival analysis, based on a dichotomic model, in which supply chain features, technical efficiency (TE) and ratings are included as explanatory variables with other controls.FindingsTE and financial health positively influence survival. Some supply chain variables are significant such as direct supply, geographical location and outsourcing level, whereas the proximity to the national carmaker is insignificant.Research limitations/implicationsThe main limitation of the study is the lack of qualitative data related to supply management practice in the automotive industry.Originality/valueThe study combine supply chain aspects with firms’ survival, TE and financial ratings. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Industrial Management & Data Systems Emerald Publishing

Firm’s survival, rating and efficiency: new empirical evidence

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References (56)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0263-5577
DOI
10.1108/IMDS-03-2016-0102
Publisher site
See Article on Publisher Site

Abstract

PurposeThe purpose of this paper is to investigate the determinants of firms’ survival during crisis in the Italian automotive value chain.Design/methodology/approachThe authors propose a survival analysis, based on a dichotomic model, in which supply chain features, technical efficiency (TE) and ratings are included as explanatory variables with other controls.FindingsTE and financial health positively influence survival. Some supply chain variables are significant such as direct supply, geographical location and outsourcing level, whereas the proximity to the national carmaker is insignificant.Research limitations/implicationsThe main limitation of the study is the lack of qualitative data related to supply management practice in the automotive industry.Originality/valueThe study combine supply chain aspects with firms’ survival, TE and financial ratings.

Journal

Industrial Management & Data SystemsEmerald Publishing

Published: Jul 10, 2017

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