Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry
By Thuy Duong Oesterreich, Frank Teuteberg. Computers in industry (Print), 2016
1,372 citations recorded by the source corpus.
Subfields: Building and Construction, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/5b3b09d759906f25b2528a61777ade169fda1275
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
- Neelkanth C. Dhone
- Angappa Gunasekaran
- Mohamad Kassem
- David J. Greenwood
- Marcello M. Mariani
- Dmitry A. Ivanov
- Boris V. Sokolov
- Ondrej Krejcar
In Industrial and Manufacturing Engineering
- Marcello M. Mariani
- Matteo Borghi
- Dmitry A. Ivanov
- Hendrik Birkel
- Boris V. Sokolov
- Alexandre Dolgui
- Sachin S. Kamble
- Ling Xia Li
Citations in the corpus
- Development of a Risk Framework for Industry 4.0 in the Context of Sustainability for Established Manufacturers (2019, background): “[7,8,14,17,19,20,70] Financial (14) Long and uncertain amortization (12) High investments (8) Personnel costs (5) “ .”
- Industry 4.0: state of the art and future trends (2018, background): “Most notably, IoT can enable the creation of virtual networks to support the smart factory in Industry 4.0 (Oesterreich and Teuteberg 2016; Peruzzini et al. 2017).”
- The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018, methodology): “…we identi fi ed in recent surveys on digitalisation applications to SCM (Sha fi q et al. 2015; Addo-Tenkorang and Helo 2016; Gunasekaran et al. 2016, 2017; Küpper et al. 2016; Oesterreich and Teuteberg 2016; Richey et al. 2016; Schrauf and Berttram 2016; Wang et al. 2016; Nguyen et al. 2017), i.e.: .”
- Managerial challenges of Industry 4.0: an empirically backed research agenda for a nascent field (2018, background): “While the popular and increasingly used term Industry 4.0 still lacks a generally accepted definition (Bierer et al. 2016; Oesterreich and Teuteberg 2016), the meaning of the neologism seems clear: the first part reflects the common definition of industry and the second part, 4.0 , refers to the…”
- Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective (2020, background): “0 remains largely unexplored in the extant literature and merits further investigation (de Sousa Jabbour et al., 2018a, b; Kamble et al., 2018; Horváth and Szabó, 2019; Oesterreich and Teuteberg, 2016; Xu et al., 2018).”
- Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies (2019, methodology): “In AM, a three-dimensional digital model is generated with the use of computer-aided design software followed by forming the final product using a 3D printer (Oesterreich and Teuteberg 2016).”
- Industry 4.0: A Bibliometric Review of Its Managerial Intellectual Structure and Potential Evolution in the Service Industries (2019, background): “…been conducted in relation to industry 4.0 (Brettel et al., 2014; Chiarello et al., 2018; Galati and Bigliardi, 2019; Liao et al., 2017; Lu, 2017; Oesterreich and Teuteberg, 2016; Roblek et al., 2016; Xu et al., 2018) or one of its core concepts, such as smart factory (Strozzi et al., 2017) and…”