A self-tuning model for smart manufacturing SMEs: effects on digital innovation

Manlio Del Giudice, Veronica Scuotto*, Armando Papa, Shlomo Y. Tarba, Stefano Bresciani, Merrill Warkentin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
481 Downloads (Pure)

Abstract

With the changing way people live, communicate, and work, enterprises are striving to shift their existing business model into a “self-tuning” one. Enterprises are becoming more agile, adaptive, and ambidextrous in order to boost innovation in the current digital transformation era. Nowadays, “digital innovation” is closely associated with Industry 4.0 enablers and smart enterprises. Prior research has shown that while multinational enterprises—across many sectors—have already embraced the aforementioned advancements, their adoption by small and-medium-sized enterprises (SMEs) has so far taken place mainly in the manufacturing sector. Thus, based on a sample of 280 self-tuned smart manufacturing SMEs and having utilized the structural equation modeling (SEM), this study was aimed to investigate how digital innovation is influenced by the three pillars of self-tuning models—agility, adaptation, and ambidexterity. Our paper has focussed on the digital systems in which SMEs, spurred by networking and open innovation solutions, operate and innovate in response to external triggers, displaying a balance between exploration and exploitation, and a strong agile capacity.

Original languageEnglish
Pages (from-to)68-89
Number of pages22
JournalJournal of Product Innovation Management
Volume38
Issue number1
Early online date7 Dec 2020
DOIs
Publication statusPublished - Jan 2021

Bibliographical note

Funding Information:
The paper is also based on the study funded by the Basic Research Program of the National Research University Higher School of Economics (HSE) and by the Russian Academic Excellence Project “5‐100.” This research project is also supported by National Natural Science Foundation of China (71772042).

Publisher Copyright:
© 2020 Product Development & Management Association

ASJC Scopus subject areas

  • Strategy and Management
  • Management of Technology and Innovation

Fingerprint

Dive into the research topics of 'A self-tuning model for smart manufacturing SMEs: effects on digital innovation'. Together they form a unique fingerprint.

Cite this