Abstract:Akamavi, R K., Mohamed, E., Pellmann, K., & Xu, Y. (2015). Key determinants of passenger loyalty in the low-cost airline business. Tourism Management, 46, 528-545.
Baldus, B.J., Voorhees, C., & Calantone, R. (2015). Online brand community engagement: Scale development and validation. Journal of Business Research, 68(5), 978-985.
Boo, H.V. (2017). Service Environment of Restaurants: Findings from the youth customers. Journal of Asian Behavioural Studies, 2(2), 67-77.
Bowen, T.J., & Chen, S.L. (2015)… Show more
“…After a service failure, customers often expect the service provider to consider steps to ensure service recovery (Pai et al, 2019). Keiningham et al (2014) found that the severity of service failure significantly impacted recovery expectations in industrial companies.…”
Section: Relationship Between Service Recovery and Customer Loyaltymentioning
confidence: 99%
“…Service recovery is the action of the service provider to resolve customer service failure complaints (Dong et al, 2008). Service recovery aims to turn customer dissatisfaction into a satisfied condition that can build company relationships with customers (Pai, Ko and Santos, 2019). From the literature above, the proposed hypothesis is as follows:…”
Section: Relationship Between Service Recovery and Customer Loyaltymentioning
confidence: 99%
“…Therefore, service companies must avoid losing customers to remain profitable and learn to be better at responding to service failure properly (Matikiti et al, 2018). The service recovery efforts are the most effective way to ensure customers meet the desired expectations (Pai et al, 2019). Through service recovery, there will be potential to create more goodwill from consumers if another mistake occurs (Palich et al, 2000).…”
This study will examine the relationship between the impact of service failure and service recovery on customer satisfaction and loyalty. The research objective was to determine the effect of service failure can be up to customer loyalty. The object of this research is customers who use expedition services located in Jakarta. This research method uses quantitative methods using a questionnaire measuring instrument. The sampling technique used is simple random sampling. To analyze the data using SEM (Structural Equation Modeling) analysis tools with Lisrel. The results of this study conclude that, first, service failure affects service recovery. Secondly, service recovery affects customer loyalty. Third, service recovery affects customer satisfaction, and the last fourth of customer satisfaction also affects customer loyalty.
“…After a service failure, customers often expect the service provider to consider steps to ensure service recovery (Pai et al, 2019). Keiningham et al (2014) found that the severity of service failure significantly impacted recovery expectations in industrial companies.…”
Section: Relationship Between Service Recovery and Customer Loyaltymentioning
confidence: 99%
“…Service recovery is the action of the service provider to resolve customer service failure complaints (Dong et al, 2008). Service recovery aims to turn customer dissatisfaction into a satisfied condition that can build company relationships with customers (Pai, Ko and Santos, 2019). From the literature above, the proposed hypothesis is as follows:…”
Section: Relationship Between Service Recovery and Customer Loyaltymentioning
confidence: 99%
“…Therefore, service companies must avoid losing customers to remain profitable and learn to be better at responding to service failure properly (Matikiti et al, 2018). The service recovery efforts are the most effective way to ensure customers meet the desired expectations (Pai et al, 2019). Through service recovery, there will be potential to create more goodwill from consumers if another mistake occurs (Palich et al, 2000).…”
This study will examine the relationship between the impact of service failure and service recovery on customer satisfaction and loyalty. The research objective was to determine the effect of service failure can be up to customer loyalty. The object of this research is customers who use expedition services located in Jakarta. This research method uses quantitative methods using a questionnaire measuring instrument. The sampling technique used is simple random sampling. To analyze the data using SEM (Structural Equation Modeling) analysis tools with Lisrel. The results of this study conclude that, first, service failure affects service recovery. Secondly, service recovery affects customer loyalty. Third, service recovery affects customer satisfaction, and the last fourth of customer satisfaction also affects customer loyalty.
“…eEWOM is especially important for intangible products, which are difficult to evaluate for consumer choices; for example, in tourism or hotels, the overall satisfaction of the consumers will affect the behavioral decisions of others [23]. This circumstance has made eWOM becomes a more reliable medium [24].…”
MOOCs (Massive Open Online Courses) users continue to rise in number globally, and accordingly, the electronic word of mouth (eWOM) for MOOCs is an important source of information for MOOCs learners, but research on the effects of MOOCs eWOM is still lacking. Therefore, from the perspective of group size and group recognition in the MOOCs online review forum and the internal relationships in the MOOCs course learning forum, this paper studies the influence mechanism of MOOCs eWOM on the number of registrations and completions. First, according to the literature review, based on the number of online reviews, the online rating valence and eWOM publishers in the MOOCs online review forum, as well as the number of posts and the number of teaching assistants in the MOOCs course learning forum, research hypotheses are proposed in this study to construct a conceptual model. Second, Coursera is the typical MOOCs platform that is selected as the research object to obtain data from November 2018 to August 2019. Third, after preprocessing the data, on the basis of the Hausman test, the corresponding fixed effect of an econometric model is established, and Stata is used to process the data to verify the research hypotheses. Finally, according to the research conclusions related to eWOM, to improve the number of registrations and completions of MOOCs, development suggestions are proposed for MOOCs platform providers and MOOCs course providers, as well.
“…The current literature discusses the quality measurement system of online shopping service recovery (Liu and Li, 2017) and the relationship between online shopping service, service recovery, and customer satisfaction and loyalty (Jian and Ke, 2017). At present, academic circles have also studied the impact of word-of-mouth on the service recovery effect of travel agencies, and the service recovery effect is measured by customer satisfaction and customer loyalty (Pai et al, 2019). They developed a practical manual on service failure and service recovery for the travel industry (Inkson, 2019).…”
This study explores the impact mechanism of perceived risk and negative emotions on the service recovery effect of an online travel agency (OTA) through a scenario experiment. The results show that: perceived risk has positive and negative impacts on negative emotions and service recovery satisfaction, negative emotions have a negative impact on service recovery satisfaction, and corporate reputation plays a positive moderating role in the relationship between perceived risk and service recovery satisfaction. This study is helpful to better explain the impact mechanism of the service recovery effect of OTAs, and to provide a theoretical reference for improving the service recovery effect of OTAs.
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