TY - JOUR
T1 - Small and medium-sized enterprises as technology innovation intermediaries in sustainable business ecosystem
T2 - interplay between AI adoption, low carbon management and resilience
AU - Roux, Melanie
AU - Chowdhury, Soumyadeb
AU - Dey, Prasanta
AU - Vann Yaroson, Emilia
AU - Pereira, Vijay
AU - Abadie, Amelie
N1 - Funding Information:
Author 1 declares no conflicts of interest. Author 2 has received the funding from the British Council Environmental Links grant – 528201836. Author 3 has received the funding from the British Council Environmental Links grant – 528201836. Author 4 declares no conflicts of interest. Author 5 declares no conflicts of interest. Author 6 declares no conflicts of interest.
Funding Information:
The research reported in this manuscript is funded by “British Council Environmental Links grant—528201836” for the project, ‘Circular Economy Knowledge Hub: Promoting Multi-Disciplinary Research, Capacity Building and Leadership’.
Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023/12/29
Y1 - 2023/12/29
N2 - Small- and medium-sized enterprises (SMEs) play a critical role as innovation intermediaries(IIs) in supply chains (SCs) by adopting emerging technologies, such as artificial intelligence(AI), which drives smart data-driven decision making. However, there is a paucity of empiricalevidence on the role of intangible organisational capabilities to drive AI adoption withinSMEs that will lead to SC productivity, low carbon management, and resilience. To bridgethis gap in the literature, our research employs perceived organisational support (POS) as thetheoretical lens to develop a theoretical model that is tested by surveying 375 Vietnamesemanagers of manufacturing SMEs. Our findings from structural equation modelling analysisdemonstrate that organisational change capacity will facilitate AI adoption, which will leadto SC productivity, resilience, and low carbon management because of SMEs’ ability to leverage AI for data-driven decision making. Based on POS theory, our research high lights the role of intangible SME resources in implementing sustainable digital SCs’ transformation, an essential strategy for acting as IIs in business ecosystems. Our findings will help SMEs to develop strategies that will enhance skills, competencies, expertise, and organisational creativity conducive to the needs of the human workforce. This will enhance the capacity and capability of SMEs to innovate, manage, and efficiently adapt to change in a technologically turbulent, dynamic, uncertain, and volatile business environment.
AB - Small- and medium-sized enterprises (SMEs) play a critical role as innovation intermediaries(IIs) in supply chains (SCs) by adopting emerging technologies, such as artificial intelligence(AI), which drives smart data-driven decision making. However, there is a paucity of empiricalevidence on the role of intangible organisational capabilities to drive AI adoption withinSMEs that will lead to SC productivity, low carbon management, and resilience. To bridgethis gap in the literature, our research employs perceived organisational support (POS) as thetheoretical lens to develop a theoretical model that is tested by surveying 375 Vietnamesemanagers of manufacturing SMEs. Our findings from structural equation modelling analysisdemonstrate that organisational change capacity will facilitate AI adoption, which will leadto SC productivity, resilience, and low carbon management because of SMEs’ ability to leverage AI for data-driven decision making. Based on POS theory, our research high lights the role of intangible SME resources in implementing sustainable digital SCs’ transformation, an essential strategy for acting as IIs in business ecosystems. Our findings will help SMEs to develop strategies that will enhance skills, competencies, expertise, and organisational creativity conducive to the needs of the human workforce. This will enhance the capacity and capability of SMEs to innovate, manage, and efficiently adapt to change in a technologically turbulent, dynamic, uncertain, and volatile business environment.
KW - Digital transformation
KW - low carbon management
KW - resilience
KW - sustainability
KW - innovation intermediaries
KW - organisational capabilities
UR - http://www.scopus.com/inward/record.url?scp=85180923316&partnerID=8YFLogxK
U2 - 10.1007/s10479-023-05760-1
DO - 10.1007/s10479-023-05760-1
M3 - Article
JO - Annals of Operations Research
JF - Annals of Operations Research
SN - 0254-5330
ER -