Semantic Scholar Open Access 2018 1681 sitasi

The expected contribution of Industry 4.0 technologies for industrial performance

Lucas Santos Dalenogare G. B. Benitez N. F. Ayala A. Frank

Abstrak

Abstract Industry 4.0 is considered a new industrial stage in which vertical and horizontal manufacturing processes integration and product connectivity can help companies to achieve higher industrial performance. However, little is known about how industries see the potential contribution of the Industry 4.0 related technologies for industrial performance, especially in emerging countries. Based on the use of secondary data from a large-scale survey of 27 industrial sectors representing 2225 companies of the Brazilian industry, we studied how the adoption of different Industry 4.0 technologies is associated with expected benefits for product, operations and side-effects aspects. Using regression analysis, we show that some of the Industry 4.0 technologies are seen as promising for industrial performance while some of the emerging technologies are not, which contraries the conventional wisdom. We discuss the contextual conditions of the Brazilian industry that may require a partial implementation of the Industry 4.0 concepts created in developed countries. We summarize our findings in a framework, that shows the perception of Brazilian industries of Industry 4.0 technologies and their relations with the expected benefits. Thus, this work contributes by discussing the real expectations on the future performance of the industry when implementing new technologies, providing a background to advance in the research on real benefits of the Industry 4.0.

Topik & Kata Kunci

Penulis (4)

L

Lucas Santos Dalenogare

G

G. B. Benitez

N

N. F. Ayala

A

A. Frank

Format Sitasi

Dalenogare, L.S., Benitez, G.B., Ayala, N.F., Frank, A. (2018). The expected contribution of Industry 4.0 technologies for industrial performance. https://doi.org/10.1016/J.IJPE.2018.08.019

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →
Lihat di Sumber doi.org/10.1016/J.IJPE.2018.08.019
Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Total Sitasi
1681×
Sumber Database
Semantic Scholar
DOI
10.1016/J.IJPE.2018.08.019
Akses
Open Access ✓