EURO 2024 Copenhagen
Abstract Submission

EURO-Online login

2661. Analysis of digital innovation configuration effect on supply chain resilienceļ¼šcase of logistics firms

Invited abstract in session WD-8: AI in Knowledge, Technology, and Innovation , stream Knowledge, Technology, and Innovation.

Wednesday, 14:30-16:00
Room: 1020 (building: 202)

Authors (first author is the speaker)

1. Xinbing Gu
2. Hing Kai Chan
Nottingham University Business School China, University of Nottingham Ningbo China

Abstract

The operation and services of logistics companies can be heavily disrupted due to disasters and crises, requiring them to be more resilient. Digitisation innovation has advanced considerably in the last decade and motivated supply chain resilience (SCR). Given the high level of socialised services and strong conductivity and linkage roles of logistics firms, the impact of any supply chain disruptive events on the logistics industry will be transmitted and significantly affect the production and operation of upstream and downstream enterprises such as manufacturing and retailer companies However, it is still unclear how logistics firms systematically facilitated SCR by digital innovation. This study identifies digital innovation as exploratory and exploitative digital innovation. Combined with factors of resourcefulness and dynamic capability, this study applied Fuzzy-set Qualitative Comparative Analysis (fsQCA) and Artificial Neural Network to analyse the digital innovation configuration effect on supply chain resilience. Data from 167 logistics firms reveals three digital innovation model designs, each with its performance implications. Moreover, this study found that exploratory digital innovation is the core condition for motivating SCR. It provides researchers with a new line of inquiry and strategy suggestions on the role of digital innovation in SCR.

Keywords

Status: accepted

Back to the list of papers