Price fairness perceptions and hotel customers’ behavioral intentions

2015 ◽  
Vol 21 (3) ◽  
pp. 262-276 ◽  
Author(s):  
Rania El Haddad ◽  
Rob Hallak ◽  
Guy Assaker
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sonja Christ-Brendemühl ◽  
Mario Schaarschmidt

PurposeAn increasing number of retailers is trying to stimulate customers by embedding augmented reality (AR) features such as video try-on into the online shopping experience. As such AR-based online services require customers to actively participate in the service provision, this paper aims at investigating fairness perceptions and customer responses associated with AR-enabled customer participation.Design/methodology/approachThe conceptual framework of this study is based on equity theory. To compare customer responses after an in-store service encounter as opposed to AR-enabled customer participation involving video try-on, this study contains a between-subject online experiment. The effective sample comprises N = 215 participants.FindingsThe data analysis demonstrates that AR-enabled customer participation leads to significantly lower levels of distributive, procedural and price fairness as well as lower engagement intentions than in-store service encounters. Simultaneously, participants in the video try-on scenario report higher negative word-of-mouth (WOM) intentions than in the in-store scenario.Research limitations/implicationsThe extra mile customers go when using AR-based online services is reflected in less favorable fairness evaluations.Practical implicationsService managers should design AR applications in a manner that requires minimum customer participation.Originality/valueThis study contributes to service research by linking AR-enabled customer participation to evaluations of distributive, procedural and price fairness and their outcomes. This is vital to fully exploit the potential of AR in services.


2004 ◽  
Vol 68 (4) ◽  
pp. 1-15 ◽  
Author(s):  
Lan Xia ◽  
Kent B. Monroe ◽  
Jennifer L. Cox

2019 ◽  
Vol 25 (4) ◽  
pp. 480-498 ◽  
Author(s):  
Birgit Muskat ◽  
Tanja Hörtnagl ◽  
Girish Prayag ◽  
Sarah Wagner

This study examines tourists’ dining experiences and tests competing models of predictors of satisfaction and behavioral intentions. Specifically, we examine the influence of service quality, quality of environment, food quality, price fairness, authenticity, and tourist satisfaction on behavioral intentions. Within the context of mountain hut casual ethnic restaurants and a survey of 304 respondent tourists, we apply partial least squares-structural equation modeling (PLS-SEM) to test both the baseline and the competing, hierarchical latent model. First, results for the baseline model show that satisfaction fully mediates the relationship between the various quality attributes and behavioral intentions. Second, results from the competing model confirm that food quality, service quality, and quality of environment form a second-order construct of perceived quality. Third, results reveal that service quality, quality of the environment, and food quality are best represented as a second-order construct in modeling predictors to evaluate the tourism dining experiences relative to tourist satisfaction and behavioral intentions. Fourth, we show that authenticity is a stronger predictor of satisfaction than price fairness and service quality.


2009 ◽  
Vol 62 (6) ◽  
pp. 588-593 ◽  
Author(s):  
William C. Martin ◽  
Nicole Ponder ◽  
Jason E. Lueg

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