consumer complaining behavior
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2020 ◽  
Vol 34 (7) ◽  
pp. 921-937
Author(s):  
Swapan Deep Arora ◽  
Anirban Chakraborty

Purpose This paper aims to provide an integrative view of the conceptualizations, definitions, antecedents and taxonomies of consumer complaining behavior (CCB). Additionally, the study aims to provide an updated synthesis and classification of both legitimate and illegitimate CCB antecedents, as well as an integrated CCB taxonomy. Design/methodology/approach A multi-stage systematic search is conducted and 226 research articles relevant to the scope of the study are analyzed to fulfill the study’s objectives. Findings Through an exhaustive aggregation, legitimate and illegitimate CCB antecedents identified in the literature are collated and a classification schema is developed. Deficiencies observed in extant CCB taxonomies are addressed and a refined taxonomy incorporating illegitimate CCB is developed. Research limitations/implications The conclusions drawn on the basis of this paper are contingent on the effectiveness of the keyword-based systematic search process that is used to demarcate the extant literature. Practical implications This paper suggests a three-pronged approach of differential enabling, legitimacy evaluation and differential management. This holistic perspective aims at enabling firms to design complaint management policies and systems that control fake complaints while maintaining sufficient redress opportunities for genuine dissatisfaction. Originality/value The paper proposes an identical classification schema for legitimate and illegitimate CCB antecedents and is the first broad-based attempt to develop an integrated CCB taxonomy.


2018 ◽  
Vol 46 (3) ◽  
pp. 459-470 ◽  
Author(s):  
Seungsin Lee ◽  
Jungkun Park ◽  
Hyowon Hyun ◽  
Seungyup Back ◽  
Sukhyung Bryan Lee ◽  
...  

We examined consumer complaining behavior on a third-party website at different times during a 1-year period, with a focus on seasonal differences in complaints made during the year. We collected 1,799 complaints as data from the website and applied both content analysis and critical incident technique to identify whether or not there were seasonal differences in reasons for reporting complaints and the frequency of complaints. Results showed that there were differences in frequency and type of complaint between the nonholiday shopping season and the holiday shopping season from Thanksgiving to Christmas. Our findings contribute to a topic on which there is a paucity of empirical research.


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