Economic consequences of consumer repair strategies for electrical household devices
Abstract
Purpose The purpose of this paper is to investigate to what extent a consumer’s repair strategy impacts the annual costs of ownership of a washing machine and two types of vacuum cleaner. Design/methodology/approach The annual cost of ownership is determined by calculating the annual life cycle cost (LCC) for the respective devices. The annual LCCs of the different scenarios allow a comparison of the different repair strategy options. A Monte Carlo simulation is run to introduce parameter variability. The device’s failure rate is estimated by a combination of data sets on the devices’ performance. Findings Results demonstrate that the repair of the devices considered is a more favourable option over replacement. A consumer who aims for the lowest annual LCC should allow for a high number of repairs per device, without putting a maximum on the cost per repair. However, the consumer should become more cautious when a device approaches the end of its expected lifetime. Finally, the purchase of warranty can be interesting when the warranty covers a sufficiently long proportion of the device’s (expected) lifetime and when its cost does not exceed a threshold proportion of the initial purchase price. Research limitations/implications The costs for repair might be overestimated. Future research can focus on the reduction of repair costs following self-repair. Practical implications The results provide strong arguments in favour of repair instead of replacement of broken devices. Ori…
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?
Repair practices are hindered by consumers' limited skills, tools, time, and motivation, compounded by financial and motivational barriers.
“Repair practices are hindered by consumers' limited skills, tools, time, and motivation, compounded by financial and motivational barriers [8-10].”
From Designing for Repair and Extended Lifespan: Consumer Expectations and Economic Constraints (2026) · cites this paper as [9]
Cost is a structurally decisive factor in repair decisions across product categories.
“who document cost as a structurally decisive factor in repair decisions across product categories”
From Designing for Repair and Extended Lifespan: Consumer Expectations and Economic Constraints (2026) · cites this paper as [9]
Cites
Inadequate Life?Evidence of Consumer Attitudes to Product Obsolescence
Cooper, T. (2004) · Journal of Consumer Policy · doi:10.1007/s10603-004-2284-6 · Cited by 359 · see citing works
Wieser, H., & Tröger, N. (2018) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.11.106 · Cited by 205 · see citing works
Pérez-Belis, V., Braulio-Gonzalo, M., Juan, P., & Bovea, M. D. (2017) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2017.04.143 · Cited by 121 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Designing for Repair and Extended Lifespan: Consumer Expectations and Economic Constraints
Čok, V., Rihtaršič, J., Warell, A., & Tavčar, J. (2026) · Sustainability · doi:10.3390/su18126270 · Cited by 1 · see citing works
- Authors
- Brusselaers, J., Bracquene, E., Peeters, J., & Dams, Y.
- Affiliations
- Flemish Institute for Technological Research (BE)
- KU Leuven (BE)
- Venue
- Journal of Enterprise Information Management
- Publisher
- Emerald
- Published
- 2019-11-13
- Volume
- 33
- Issue
- 4
- Pages
- 747-767
- ISSN
- 1741-0398 (ISSN-L)
- OpenAlex
- W2988208766
- Cited by
- 38
- References
- 3
- Citations by year
- 2026: 9 · 2025: 3 · 2024: 5 · 2023: 4 · 2022: 11 · 2021: 2 · 2020: 3 · 2019: 1
- FWCI
- 10.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Enterprise Information Management (publishedVersion)
- Lirias (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Accounting › Life Cycle Costing Analysis
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Reliability and Maintenance Optimization
- Keywords
- repair versus replacement, life cycle cost, washing machines, vacuum cleaners, failure rate estimation, repair costs, consumer behavior
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