Purpose
The purpose of this study is to understand the joint effects of individuals’ need for status and processing fluency on customer attitudes toward hotels’ participation in corporate social responsibility (CSR) programs.
Design/methodology/approach
This study uses a 2 (Need for status: high vs low) × 2 (Processing fluency: high vs low) experimental design with processing fluency being manipulated and individuals’ need for status being measured.
Findings
The results indicate that although high-need for status customers exhibit a more positive attitude than low-need for status customers when the CSR message is easy to process, they show similar attitude levels when processing fluency is relatively low.
Originality/value
This study makes great contribution to the literature of status consumption by examining CSR as one of the new areas that consumers use to signal social status beyond luxury products. For practitioners, the results of this study offer suggestions on how to design CSR messages to increase its effectiveness.
Online consumer reviews are becoming one of the key drivers of hospitality firm performance. Although research has investigated different aspects of online reviews such as their volume and length, issues regarding the effectiveness of review response demand for further investigation. Drawing on theories of expectancy value and communication, we develop and test a framework of consumer expectations regarding company responses. Results from two experiments show that consumer preferences for responses to their online reviews depend on the factors of valence (positive vs. negative), explanation type (explained action vs. explained reaction), and response channel (private vs. public). Perceived usefulness is found to be the underlying mechanism that explains these effects. The study’s theoretical contributions and managerial implications are discussed.
In sharing accommodation business such as Airbnb, while the provision of personalized amenities and services may seem like good business, hosts should be aware of the potential unintended consequences when they are not able to deliver what they promise. The present research examines how expectation gaps created by guest reviews interact with different types of preferential services to subsequently affect consumer behavior in the peer-to-peer accommodation economy. Grounded in attribution theory, this study offers new insights on customer responses to unfulfilled preferential treatment. The results suggest that in the condition of utilitarian services (e.g., airport transportation), participants in the low dispersion condition exhibited more negative attitudes, a lower level of repurchase intention, and a decreased willingness to write an online review. Conversely, in the condition of hedonic services (e.g., perform a talent show), expectation discrepancy did not result in different consumer evaluations across the dispersion conditions.
Service robots as an example of service innovation has been of great interest to researchers as it could produce greater value‐in‐use for consumers during service encounters. However, the question of how and why service robots may affect consumers remains inadequately understood. Leveraging service‐dominant logic and the heuristic‐systematic model, Study 1 examines the impacts of service innovation types on brand equity and the moderating role of consumer expertise. Study 2 explores whether cognitive and emotional trust can bridge the underlying mechanism. We find that consumers with higher levels of service expertise rate firms with supportive innovation (vs. interactive innovation) higher in brand equity. On the other hand, service novices rate firms with both types of service innovation similarly. Emotional trust significantly mediates the effect mentioned above. In addition, consumers with high technology expertise will better recognize firms' service innovation efforts regardless of innovation type. Our findings extend the service innovation literature by demonstrating how individual‐level factors such as consumer expertise help explain the relationships between various types of service robots and consumer response. Moreover, we reveal the importance for service brands to invest in different service robots based on target groups and build emotional trust with consumers.
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