Adoption paths of digital transformation in manufacturing SME
Publication type: Journal Article
Publication date: 2023-01-01
scimago Q1
wos Q1
SJR: 2.833
CiteScore: 20.2
Impact factor: 10.0
ISSN: 09255273, 18737579
Industrial and Manufacturing Engineering
Economics and Econometrics
General Business, Management and Accounting
Management Science and Operations Research
Abstract
Digital transformation requires the implementation of different technologies that may improve the firms' capability in the collection, combination, processing, and use of business data. To guarantee an adequate combination of these technologies, several maturity models have been proposed in the literature, but only a few papers have investigated the actual implementation paths adopted by firms for digital transformation. In particular, no studies have investigated the implementation paths followed by SMEs, whose limited financial and human resources may prevent the adoption of the roadmaps developed for large firms. In this paper, we analyse the implementation paths for digital transformation adopted by a wide sample of Italian SMEs operating in different sectors. By combining Partial Least Squares Structural Equation Modelling with Necessity Condition Analysis, we clarify the specific enabler and enhancer roles played by different digital technologies. The study sheds further light on the relationship among these technologies and their contribution to the development of SMEs’ information processing capability. In particular, our analysis shows that digital technologies associated with Industry 4.0 can be classified into four hierarchical layers, Sensor, Integration, Intelligence, and Response, that are in charge of the collection, combination, processing and use of organizational data. Our results show that the implementation of these layers is not based on a standalone approach since the lower layers enable and enhance the adoption of the upper layers. The present paper may also offer useful insights to managers and policymakers, interested in improving the digital transformation of SMEs. • The implementation paths for digital transformation adopted by Italian SMEs are investigated. • A classification of Industry 4.0 technologies based on four layers is adopted. • Partial Least Squares Structural Equation Modelling and Necessity Condition Analysis are combined. • The specific enabler and enhancer roles played by different digital technologies are clarified.
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Metrics
92
Total citations:
92
Citations from 2024:
70
(76.92%)
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GOST
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Battistoni E. et al. Adoption paths of digital transformation in manufacturing SME // International Journal of Production Economics. 2023. Vol. 255. p. 108675.
GOST all authors (up to 50)
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Battistoni E., Gitto S., Murgia G., Campisi D. Adoption paths of digital transformation in manufacturing SME // International Journal of Production Economics. 2023. Vol. 255. p. 108675.
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RIS
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TY - JOUR
DO - 10.1016/j.ijpe.2022.108675
UR - https://doi.org/10.1016/j.ijpe.2022.108675
TI - Adoption paths of digital transformation in manufacturing SME
T2 - International Journal of Production Economics
AU - Battistoni, Elisa
AU - Gitto, Simone
AU - Murgia, Gianluca
AU - Campisi, Domenico
PY - 2023
DA - 2023/01/01
PB - Elsevier
SP - 108675
VL - 255
SN - 0925-5273
SN - 1873-7579
ER -
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BibTex (up to 50 authors)
Copy
@article{2023_Battistoni,
author = {Elisa Battistoni and Simone Gitto and Gianluca Murgia and Domenico Campisi},
title = {Adoption paths of digital transformation in manufacturing SME},
journal = {International Journal of Production Economics},
year = {2023},
volume = {255},
publisher = {Elsevier},
month = {jan},
url = {https://doi.org/10.1016/j.ijpe.2022.108675},
pages = {108675},
doi = {10.1016/j.ijpe.2022.108675}
}