David Roubaud

Prof. Dr. David Roubaud

Department of Finance, Control and Law, Montpellier Business School, 12 Rue Bayard, 34000 Montpellier, France
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2018 in Energy Policy
Verified
Journal Article
Closed access
Daniel Balsalobre LorenteDaniel Balsalobre Lorente
Daniel Balsalobre Lorente
MSMuhammad Shahbaz
Muhammad Shahbaz
David RoubaudDavid Roubaud
David Roubaud
Sahbi FarhaniSahbi Farhani
Sahbi Farhani

1 February 2017 in Finance Research Letters
Verified
Journal Article
Closed access
EEElie ElBouri
Elie ElBouri
PMPeter Molnar
Peter Molnar
GAGeorges Azzi
Georges Azzi
David RoubaudDavid Roubaud
David Roubaud
LHLars Ivar Hagfors
Lars Ivar Hagfors

1 August 2018 in Energy Economics
Verified
Journal Article
Closed access
MSMuhammad Shahbaz
Muhammad Shahbaz
MNMuhammad Ali Nasir
Muhammad Ali Nasir
David RoubaudDavid Roubaud
David Roubaud

1 February 2018 in Annals of Operations Research
Verified
Journal Article
Closed access
PDF file
AJAna Beatriz Lopes de Sousa Jabbour
Ana Beatriz Lopes de Sousa Jabbour
CJCharbel Jabbour
Charbel Jabbour
Moacir Godinho FilhoMoacir Godinho Filho
Moacir Godinho Filho
David RoubaudDavid Roubaud
David Roubaud

27 February 2019 in International Journal of Production Research
Verified
Journal Article
Closed access
Rameshwar DubeyRameshwar Dubey
Rameshwar Dubey
AGAngappa Gunasekaran
Angappa Gunasekaran
SCStephen J. Childe
Stephen J. Childe
SWSamuel Fosso Wamba
Samuel Fosso Wamba
David RoubaudDavid Roubaud
David Roubaud
CFCyril Foropon
Cyril Foropon
Supply chain resilience and data analytics capability have generated increased interest in academia and among practitioners. However, existing studies often treat these two streams of literature independently. Our study model reconciles two different streams of literature: data analytics capability as a means to improve information-processing capacity and supply chain resilience as a means to reduce a ripple effect in supply chain or quickly recover after disruptions in the supply chain. We have grounded our theoretical model in the organisational information processing theory (OIPT). Four research hypotheses are tested using responses from 213 Indian manufacturing organisations collected via a pre-tested survey-based instrument. We further test our model using variance-based structural equation modelling, popularly known as PLS-SEM. All of the hypotheses were supported. The findings of our study offer a unique contribution to information systems (IS) and operations management (OM) literature. The findings further provide numerous directions to the supply chain managers. Finally, we note our study limitations and provide further research directions.

1 August 2020 in International Journal of Production Economics
Verified
Journal Article
Closed access
RDRameshwar Dubey
Rameshwar Dubey
AGAngappa Gunasekaran
Angappa Gunasekaran
SCStephen J. Childe
Stephen J. Childe
DBDavid J. Bryde
David J. Bryde
MGMihalis Giannakis
Mihalis Giannakis
BHBenjamin T. Hazen
Benjamin T. Hazen