Complaint Management

2010 ◽  
pp. 414-432 ◽  
Author(s):  
Bernd Stauss ◽  
Wolfgang Seidel
Keyword(s):  
2016 ◽  
Vol 5 (1) ◽  
pp. 1930-1936 ◽  
Author(s):  
Yadvendra P. P. Singh ◽  
◽  
Singh A.K. ◽  
Singh R.P. ◽  
◽  
...  

Procedia CIRP ◽  
2015 ◽  
Vol 29 ◽  
pp. 591-596 ◽  
Author(s):  
Alexander Linder ◽  
Robert Schmitt

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ririn Diar Astanti ◽  
Ivana Carissa Sutanto ◽  
The Jin Ai

PurposeThis paper aims to propose a framework on complaint management system for quality management by applying the text mining method and potential failure identification that can support organization learning (OL). Customer complaints in the form of email text is the input of the framework, while the most frequent complaints are visualized using a Pareto diagram. The company can learn from this Pareto diagram and take action to improve their process.Design/methodology/approachThe first main part of the framework is creating a defect database from potential failure identification, which is the initial part of the failure mode and effect analysis technique. The second main part is the text mining of customer email complaints. The last part of the framework is matching the result of text mining with the defect database and presenting in the form of a Pareto diagram. After the framework is proposed, a case study is conducted to illustrate the applicability of the proposed method.FindingsBy using the defect database, the framework can interpret the customer email complaints into the list of most defect complained by customer using a Pareto diagram. The results of the Pareto diagram, based on the results of text mining of consumer complaints via email, can be used by a company to learn from complaint and to analyze the potential failure mode. This analysis helps company to take anticipatory action for avoiding potential failure mode happening in the future.Originality/valueThe framework on complaint management system for quality management by applying the text mining method and potential failure identification is proposed for the first time in this paper.


2011 ◽  
pp. 207-230 ◽  
Author(s):  
Bernd Stauss ◽  
Wolfgang Seidel
Keyword(s):  

2004 ◽  
Vol 14 (2/3) ◽  
pp. 147-156 ◽  
Author(s):  
Bernd Stauss ◽  
Andreas Schoeler
Keyword(s):  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Armstrong ◽  
Alicia Kulczynski ◽  
Stacey Brennan

Purpose Online consumer complaint behaviour that is observable to other consumers provides the firm with an opportunity to demonstrate transparency and service quality to the public eye. The purpose of this paper is to assist practitioners with a strategy to increase perceived accommodativeness in complaint management on social media and reduce the social risk associated with online consumer complaint behaviour using a social exchange theory perspective. Design/methodology/approach Six online experiments with 1,350 US Facebook users were conducted to investigate the effect of supportive and non-supportive virtually present others, and employee intervention on a consumer’s choice to complain, likelihood to make an observable complaint (on the Facebook page) and likelihood to make a non-observable complaint (via Facebook Messenger). The mediating role of perceived accommodativeness and subsequent social risk is also examined. Findings Supportive comments made to the complainant by virtually present others were found to influence participants’ decision to complain, heighten participants’ likelihood to complain about the Facebook page and reduce their likelihood to complain via Facebook Messenger. This effect was reversed in the presence of non-supportive virtually present others and was explained by perceived social risk. Further, a participant’s likelihood to complain about the Facebook page was increased when an employee intervention was directed at a non-supportive comment made to a complainant, by a virtually present other. This effect was explained by the perceived accommodativeness of the employee interaction. Research limitations/implications The findings advance research on online consumer complaint behaviour by investigating how employee intervention can be used to increase the likelihood of an observable complaint. This research is limited in that it does not incorporate individual characteristics, such as introversion/extroversion and propensity to respond to peer pressure, which may affect participant responses. Practical implications This research shows that perceptions of social risk are most effectively reduced by employee intervention directed at a non-supportive comment (made to a complainant) of a virtually present other. Consumer complaint management strategies aimed at minimising perceptions of social risk and encouraging observable online complaint behaviour are proposed. Originality/value This research extends the consumer complaint behaviour taxonomy by introducing the term “observable complaining”, that is, visible complaints made on a Facebook page, and broadens understanding of the organisation’s role in managing non-supportive virtually present others to assuage perceptions of social risk in potential complainants.


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