TY - JOUR
T1 - Exploring the impact of Big Data Analytics Capabilities on the dual nature of innovative activities in MSMEs
T2 - A Data-Agility-Innovation Perspective
AU - Zheng, Jianwen
AU - Zhang, Justin Zuopeng
AU - Wang, Huan
AU - Hong, Jacky F.L.
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2022/6
Y1 - 2022/6
N2 - This paper investigates how big data analytics influences the innovative activities of micro, small, and medium enterprises (MSMEs) on the basis of the resource-based and dynamic capabilities views. Studying a survey sample collected from 186 entrepreneurial and MSMEs, we discovered a crucial mediating mechanism in the relationship between them: market agility. Our findings suggest that the use of big data analytics enables MSMEs to enhance their market agility, thereby strengthening their innovation adoption. In addition, an MSME’s strong dynamic capability helps boost the effects of market agility on innovation adoption. While early success traps strengthen the effects of market agility on innovation adoption, they weaken the effects on innovation generation. Our study enriches the existing literature on big data analytics and innovation and provides practical guidance for MSMEs to engage in entrepreneurial innovation through big data analytics.
AB - This paper investigates how big data analytics influences the innovative activities of micro, small, and medium enterprises (MSMEs) on the basis of the resource-based and dynamic capabilities views. Studying a survey sample collected from 186 entrepreneurial and MSMEs, we discovered a crucial mediating mechanism in the relationship between them: market agility. Our findings suggest that the use of big data analytics enables MSMEs to enhance their market agility, thereby strengthening their innovation adoption. In addition, an MSME’s strong dynamic capability helps boost the effects of market agility on innovation adoption. While early success traps strengthen the effects of market agility on innovation adoption, they weaken the effects on innovation generation. Our study enriches the existing literature on big data analytics and innovation and provides practical guidance for MSMEs to engage in entrepreneurial innovation through big data analytics.
KW - Big data analytics capabilities
KW - Dynamic capability
KW - Innovation adoption
KW - Innovation generation
KW - Market agility
UR - http://www.scopus.com/inward/record.url?scp=85131519519&partnerID=8YFLogxK
U2 - 10.1007/s10479-022-04800-6
DO - 10.1007/s10479-022-04800-6
M3 - Article
AN - SCOPUS:85131519519
SN - 0254-5330
JO - Annals of Operations Research
JF - Annals of Operations Research
ER -
