Contextual factors and lean production implementation in the Brazilian automotive supply chain
Abstract
Purpose: This paper aims to understand the patterns of lean production implementation, and the relationship between three context factors (i.e. firm size, positions within the supply chain and time length of the lean initiative) and the adoption of lean production practices in firms of the automotive supply chain in Brazil. Design/methodology/approach: The authors collected data from 65 companies of the automotive supply chain in Brazil. For data analysis, first a cluster analysis was performed to identify common characteristics in the companies’ context factors when considering patterns of lean implementation. Then, multivariate analysis of variance was used to investigate the differences between the context factors and the degree of use of lean practices. Findings: High lean adopters had better performance than low lean adopters in terms of lead time, inventory and turnover. Firms at the first and second tier of the automotive supply chain were “leaner” than firms at the third tier. Large-sized firms were more likely to have a higher degree of use of lean practices than medium and smaller ones. Some, but not all, lean practices followed these patterns. Results also showed that some lean practices were most commonly adopted at the beginning of the lean journey, whereas others took more time to mature. Originality/value: This paper demonstrated how lean practices were implemented at different positions within the supply chain, and the patterns of implementation often followed. It also considers lean in the context of developing countries such as Brazil.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In developing countries, LM implementation reduced inventory.
“inventory reduction (Marodin et al. , 2017; Panwar etal. ,2017;Marodin etal. ,2016)”
From A systematic literature review of lean manufacturing implementation in manufacturing-based sectors of the developing and developed countries (2022) · cites this paper as Marodin et al., 2016
In developing countries, LM implementation improved lead time and turnover.
“leadtimeand turnover improvement (Marodin et al. , 2016)”
From A systematic literature review of lean manufacturing implementation in manufacturing-based sectors of the developing and developed countries (2022) · cites this paper as Marodin et al., 2016
Large firms in developing countries are more likely to implement lean manufacturing successfully than SMEs.
“Large firms in developing countries are more likely to implement LM successfullythanSMEs(Marodin etal. ,2016;Belhadi etal. ,2019).”
From A systematic literature review of lean manufacturing implementation in manufacturing-based sectors of the developing and developed countries (2022) · cites this paper as Marodin et al., 2016
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
Lean, leaner, too lean? The inventory–performance link revisited
Eroglu, C., & Hofer, C. (2011) · Journal of Operations Management · doi:10.1016/j.jom.2010.05.002 · Cited by 440 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Industry 4.0 technologies: Implementation patterns in manufacturing companies
Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019) · International Journal of Production Economics · doi:10.1016/j.ijpe.2019.01.004 · Cited by 2,958 · see citing works
Self-citationThe expected contribution of Industry 4.0 technologies for industrial performance
Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2018.08.019 · Cited by 2,201 · see citing works
Self-citationLean supply chain management: Empirical research on practices, contexts and performance
Tortorella, G. L., Miorando, R., & Marodin, G. (2017) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.07.006 · Cited by 166 · see citing works
Self-citationAntony, J., Psomas, E., Garza-Reyes, J. A., & Hines, P. (2021) · Production Planning & Control · doi:10.1080/09537287.2020.1776410 · Cited by 116 · see citing works
“…2018; Lermen et al. 2018; Liu et al. 2017; Loow 2019; Lyons et al. 2013; Marodin and Saurin 2015b; Marodin et al. 2019; Melin and Barth 2018; Marodin et al. 2016; Martinez-Jurado and Moyano-Fuentes 2014; Menezes, Wood, and Gelade 2010; Mohammad and Oduoza 2019; Moldner, Garza-Reyes, and…”
BackgroundInfluentialMaware, C., Okwu, M. O., & Adetunji, O. (2022) · International Journal of Lean Six Sigma · doi:10.1108/ijlss-12-2020-0223 · Cited by 88 · see citing works
- Authors
- Marodin, G. A., Frank, A. G., Tortorella, G. L., & Saurin, T. A.
- Affiliations
- University of South Carolina (US)
- Universidade Federal do Rio Grande do Sul (BR)
- Universidade Federal de Santa Catarina (BR)
- Venue
- Supply Chain Management: An International Journal
- Publisher
- Emerald
- Published
- 2016-06-13
- Volume
- 21
- Issue
- 4
- Pages
- 417-432
- ISSN
- 1359-8546 (ISSN-L)
- OpenAlex
- W2442911546
- Cited by
- 159
- References
- 2
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 11 · 2023: 18 · 2022: 20 · 2021: 23 · 2020: 12 · 2019: 25 · 2018: 26 · 2017: 10
- FWCI
- 36.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Supply Chain Management An International Journal (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
- Social Sciences › Business, Management and Accounting › Strategy and Management › Management and Optimization Techniques
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Keywords
- lean manufacturing, lean manufacturing implementation, automotive supply chain, firm size, supply chain position, lead time, inventory, inventory turnover, developing countries, Brazilian automotive industry
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review