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Resource Re-orchest...
Resource Re-orchestration and firm survival in crisis periods : The role of business models of technology MNEs during COVID-19
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- Attah-Boakye, Rexford (författare)
- University of Nottingham, Wollaton Road, Lenton, Nottingham, NG8 1BB, United Kingdom
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- Adams, Kweku (författare)
- University of Bradford, Bright Building, BD7 1SR, United Kingdom
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- Hernandez-Perdomo, Elvis (författare)
- OSL Risk Management Ltd, Hull, UK,OSL Risk Management Ltd, Hull, United Kingdom
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- Yu, Honglan (författare)
- University of Huddersfield Queensgate, HD1 3DH, United Kingdom
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- Johansson, Jeaneth, 1968- (författare)
- Högskolan i Halmstad,Luleå tekniska universitet,Industriell ekonomi,Halmstad University, Halmstad, Sweden,Akademin för företagande, innovation och hållbarhet,Luleå University of Technology, Luleå, Sweden
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(creator_code:org_t)
- Oxford : Elsevier, 2023
- 2023
- Engelska.
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Ingår i: Technovation. - Oxford : Elsevier. - 0166-4972 .- 1879-2383. ; 125
- Relaterad länk:
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https://doi.org/10.1...
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https://ltu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Using data from world-leading digital-driven/technology multinational enterprises (DTMNEs), we draw from the resource orchestration theory to investigate the associations between business model (BM) drivers and firm performance during crisis periods. Drawing on data from the COVID-19 pandemic period, we deploy diverse analytical approaches including multivariate linear regressions and aggregated composite index statistical methods in examining how the BMs of our sampled DTMNEs drive firm performance. Our study highlights six methodological approaches that can be utilised by decision-makers in examining which variables in their BM drive better firm performance. Our findings revealed that the principal component analysis and multicriteria decision analysis (PROMETHEE methods) that espouse the use of aggregate composite index can provide significant and consistent predictive results in comparison to the traditional linear methods when examining the association between BM and firm performance during crisis periods. The paper provides policy and managerial implications on how firms and decision-makers can bolster business continuity, resilience, and plasticity by using analytical lenses that identify optimum resource orchestration during crises.
Ämnesord
- SAMHÄLLSVETENSKAP -- Ekonomi och näringsliv -- Företagsekonomi (hsv//swe)
- SOCIAL SCIENCES -- Economics and Business -- Business Administration (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Nyckelord
- Business models
- Artificial intelligence
- Machine learning
- Digitalisation
- Agility
- Resource orchestrations
- Entreprenörskap och innovation
- Entrepreneurship and Innovation
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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