358
Views
9
CrossRef citations to date
0
Altmetric
Articles

Quality function deployment in failure recovery and prevention

Pages 615-637 | Received 26 Sep 2015, Accepted 07 Nov 2016, Published online: 30 Dec 2016
 

ABSTRACT

This paper presents a strategic model for proactively recovering and preventing service failures; it employs an analytical hierarchy process (AHP) to measure the severity of failure categories and ultimately employs quality function deployment (QFD) to identify the execution order of proactive recovery and prevention strategies. Questionnaires on AHP and QFD were used to collect data. The results show that the three most important strategies, ‘Educational training of employees,’ ‘Managerial level professional expertise and leadership,’ and ‘Staff appraisal, reward, and punishment systems,’ are within the purview of human resources management. Human resource management plays a key role in service failure and recovery management. For individual failure categories, business managers can select those that are most severe and execute proactive recovery and failure prevention strategies. We propose a methodology for designing service recovery systems and that addresses the gap in academic research on proactive recovery and service failure prevention.

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Funding

This work was supported by the National Science Council of the Republic of China [grant number NSC 101-2410-H-167 -009].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 274.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.