TY - JOUR
T1 - Big data driven innovation for sustaining SME supply chain operation in post COVID-19 scenario
T2 - Moderating role of SME technology leadership
AU - Chatterjee, Sheshadri
AU - Chaudhuri, Ranjan
AU - Shah, Mahmood
AU - Maheshwari, Pratik
PY - 2022/6/1
Y1 - 2022/6/1
N2 - Due to the COVID-19 pandemic, there is an unprecedented crisis for businesses. The small and medium enterprises (SMEs) have been impacted even more, due to their limited resources. Extant literature has prescribed many treatments on how SMEs could survive in post COVID-19 situation, but studies did not analyse how big data driven innovation could improve supply chain management (SCM) process in the post COVID-19 pandemic under the moderating influence of SME technology leadership support. Thus, there is a research gap in this important domain. The aim of this study is to examine the impact of big data driven innovation and technology capability of the SME on its supply chain system. The study also investigates the moderating role of SME technology leadership support on SME performance in the post COVID-19 scenario. With the help of literature and resource-based view (RBV) and dynamic capability view (DCV) theory, a theoretical model has been developed conceptually. Later the model is validated using structural equation modelling (SEM) technique with 327 usable respondents from SMEs from India. The study found that both big data driven innovation and the techno-functional capability of SME impacts supply chain capability which in turn impacts the SME performance in the post COVID-19 scenario. The study also finds that there will be a moderating impact of SME technology leadership support on SME performance.
AB - Due to the COVID-19 pandemic, there is an unprecedented crisis for businesses. The small and medium enterprises (SMEs) have been impacted even more, due to their limited resources. Extant literature has prescribed many treatments on how SMEs could survive in post COVID-19 situation, but studies did not analyse how big data driven innovation could improve supply chain management (SCM) process in the post COVID-19 pandemic under the moderating influence of SME technology leadership support. Thus, there is a research gap in this important domain. The aim of this study is to examine the impact of big data driven innovation and technology capability of the SME on its supply chain system. The study also investigates the moderating role of SME technology leadership support on SME performance in the post COVID-19 scenario. With the help of literature and resource-based view (RBV) and dynamic capability view (DCV) theory, a theoretical model has been developed conceptually. Later the model is validated using structural equation modelling (SEM) technique with 327 usable respondents from SMEs from India. The study found that both big data driven innovation and the techno-functional capability of SME impacts supply chain capability which in turn impacts the SME performance in the post COVID-19 scenario. The study also finds that there will be a moderating impact of SME technology leadership support on SME performance.
KW - COVID
KW - Supply chain
KW - SME Performance
KW - IoT
KW - Sustainability
KW - Big Data
KW - Innovation
KW - SME Leadership Support
UR - http://www.scopus.com/inward/record.url?scp=85125617537&partnerID=8YFLogxK
U2 - 10.1016/j.cie.2022.108058
DO - 10.1016/j.cie.2022.108058
M3 - Article
C2 - 36569991
SN - 1879-0550
VL - 168
JO - Computers & industrial engineering
JF - Computers & industrial engineering
M1 - 108058
ER -
