How to Leverage Big Data Analytic Capabilities for Innovation Ambidexterity: A Mediated Moderation Model

Suqin Liao (), Qianying Hu and Jingjing Wei
Additional contact information
Suqin Liao: School of Management, Zhejiang University of Technology, Hangzhou 310000, China
Qianying Hu: School of Management, Zhejiang University of Technology, Hangzhou 310000, China
Jingjing Wei: School of Management, Zhejiang University of Technology, Hangzhou 310000, China

Sustainability, 2023, vol. 15, issue 5, 1-19

Abstract: Building upon the knowledge-based dynamic capabilities view, this study seeks to examine how big data analytic capabilities can be leveraged to improve innovation ambidexterity by developing a mediated moderation framework. Survey data were collected from 199 Chinese big data companies to test our model. The results indicate that the dynamic decision-making capability mediates the relationship between big data analytic capabilities and innovation ambidexterity, and this mediating relationship is conditional on the moderator variable of cross-functional integration. This study enriches the literature about big data analytic capabilities and innovation ambidexterity by clarifying how big data analytic capabilities are positively related to innovation ambidexterity and uncovering the driver for pursuing innovation ambidexterity in a digital context. It also contributes to this line of research by revealing contingent factors to leverage big data analytic capabilities from the knowledge-based dynamic capabilities perspective.

Keywords: big data analytic capabilities; innovation ambidexterity; dynamic decision-making capability; cross-functional integration (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/5/3948/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/5/3948/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:5:p:3948-:d:1076162

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().