Mix & match: a resource-based complaint recovery framework for tangible compensation
Year of publication: |
2020
|
---|---|
Authors: | Stakhovych, Stanislav ; Tamaddoni, Ali |
Published in: |
Journal of service research. - London : Sage Periodicals Press, ISSN 1552-7379, ZDB-ID 2020788-8. - Vol. 23.2020, 3, p. 337-352
|
Subject: | service failure | customer complaints | tangible compensation | customer churn | RLV | customer base analysis | Beschwerdemanagement | Complaint management | Beziehungsmarketing | Relationship marketing | Dienstleistungsqualität | Service quality | Konsumentenverhalten | Consumer behaviour | Kundenzufriedenheit | Customer satisfaction | Kundenservice | Customer service |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.1177/1094670519898521 [DOI] 10.1177%2F1094670519898521 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Service recovery for moderate and high involvement services
Bambauer-Sachse, Silke, (2015)
-
The unintended consequence of price-based service recovery incentives
Kanuri, Vamsi K., (2019)
-
Arsenovic, Jasenko, (2023)
- More ...
-
Comparing churn prediction techniques and assessing their performance : a contingent perspective
Tamaddoni, Ali, (2016)
-
Empirical decomposition of customer responses to discount coupons in online FMCG retailing
Montazeri, Samaneh, (2021)
-
Specification of spatial models: A simulation study on weights matrices
Stakhovych, Stanislav, (2009)
- More ...