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Managing Risk for Auto Warranties

Aljazea, Ahmed, Wu, Shaomin (2019) Managing Risk for Auto Warranties. International Journal of Quality & Reliability Management, 36 (7). pp. 1088-1105. ISSN 0265-671X. (doi:10.1108/IJQRM-08-2018-0221) (KAR id:70936)

Abstract

Purpose - This paper aims to (1) analyse the existing work of warranty risk management (WaRM); (2) develop a generic WaRM framework; and (3) design a generic taxonomy for warranty hazards from a warranty chain perspective.

Design/methodology/approach – To understand the top warranty hazards, we designed a questionnaire, received 40 responses from the warranty decision makers (WDM) in the automotive industry in the UK and then analysed the responses.

Findings – The assembly process capability at suppliers is the top contributor to warranty incidents from the suppliers’ and original equipment manufacturers (OEMs’) viewpoints. The human error at different stages of the product lifecycle contributes to the occurrence of warranty incidents. The collaboration among parties, particularly, the accessibility to warranty-related data between parties (i.e., suppliers, OEM and dealers), is limited. Customers’ fraud contributes more to warranty costs than warranty services providers’ (WSPs) fraud. The top contributors to customer dissatisfaction relating to warranty are the warranty service time and service quality.

Research limitations/implications – The questionnaires were used to collect data in the UK, which implies the research outcomes of this paper may only reflect the UK area.

Practical implications – The WaRM framework and taxonomy proposed in this paper provide warranty decision makers with a holistic view to identifying the top contributors to warranty incidents. With them, the decision makers will be able to allocate the required fund and efforts more effectively.

Originality/value – This paper contributes to the literature by providing the first work of systematically analysing the top contributors to warranty incidents and costs and by providing a WaRM framework.

Item Type: Article
DOI/Identification number: 10.1108/IJQRM-08-2018-0221
Uncontrolled keywords: Warranty; risk management; hazard identification; social media; warranty chain; human error
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Shaomin Wu
Date Deposited: 11 Dec 2018 09:20 UTC
Last Modified: 28 Jul 2022 22:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70936 (The current URI for this page, for reference purposes)

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