严厉
服务(商务)
服务补救
引用
领域(数学)
经济正义
文献计量学
社会学
公共关系
工程伦理学
计算机科学
心理学
知识管理
营销
政治学
服务质量
业务
万维网
认识论
工程类
法学
哲学
数学
纯数学
作者
Taiba Musadiq Sahaf,Asif Iqbal Fazili
摘要
Abstract It is an opportune time to reflect on the progress of service failure and service recovery in the field of service marketing, specifically with a focus on perceived justice. Over the past three decades, justice theory has played a pivotal role in explaining these phenomena, prompting the need to evaluate its current standing and contributions. The study reviews the literature on service failure and recovery (SFR) using the hybrid review approach through an integration of bibliometric analysis and a framework‐based review (Theories–Characteristics–Contexts–Methods; Paul and Rosado‐Serrano, 2019, International Marketing Review , 36 (6), 830–858). In the bibliometric overview, the publication trend and citation structure of articles dealing with perceived justice in SFR between 1990 and March 2022, the most prolific authors/sources as well as the most active institutions that contribute the most to this field of scientific inquiry have been analysed in detail. Following the performance analysis, the authors carry out scientific mapping that underscores the intellectual corpus as well as the emergent themes of the field. Using network analysis in visualization of similarities viewer software, service failure, service recovery and perceived justice in service failure and service recovery have been grouped into clusters based on co‐citation analysis and bibliographic coupling. The articles in the clusters are critically reviewed in terms of theories, contexts, characteristics and methods to not only synthesize the foundational knowledge in the field and propose avenues for future but also make recommendations for academia and industry. To add scientific rigour, the study uses Scientific Procedures and Rationales for Systematic Literature Reviews (Paul et al., 2021, International Journal of Consumer Studies , 45 (4), O1–O16) protocol to guide review decisions in a bibliometric analysis.
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