Exploring Airbnb service quality attributes and their asymmetric effects on customer satisfaction

With the rise of the sharing economy, Airbnb has become the predominant example of the online peer-to-peer accommodation market in the hospitality industry. This study adopts a mixed method approach to systematically and comprehensively capture various service aspects of Airbnb. Two main studies are conducted to identify key service quality (SQ) attributes of Airbnb, verify the dimensionality of the SQ attributes, and examine the effects of these attributes on customer satisfaction (CS). The first qualitative study generated a list of SQ attributes by collecting and analyzing 16,430 online reviews. In the second study, online survey (N = 322) is conducted to identify multiple dimensions of SQ attributes and examine their asymmetric effects on CS using impact-range performance analysis and impact asymmetry analysis. Findings suggest that Airbnb has multiple SQ attributes associated with website, host, and facility that produce distinctive effects on CS.     

A comparison of service quality attributes for stand-alone and resort-based luxury hotels in Macau: 3-Dimensional importance-performance analysis

As tourism took off in Macau, more luxury hotels were constructed to satisfy demand, many of them located in leisure resort complexes. This study uses the case of luxury hotels in Macau to examine the importance of specific characteristics in leisure resorts using a 3-dimensional importance-performance analysis (3-D IPA) approach that integrates the IPA approach with the three-factor theory. A new service quality measurement scale was developed and a total of 299 visitors staying overnight in the luxury hotels in Macau were surveyed. The results reveal the types (basic, excitement, and performance) of 45 service attributes in the 3-D IPA cube for stand-alone and resort-based luxury hotels. This study indicates a variation of types of three factors for service attributes may occur in different market segments. This study contributes a new service measurement scale for luxury hotels and 3-D IPA approach for researchers to conduct future studies.     

How servant leadership and self-efficacy interact to affect service quality in the hospitality industry: A polynomial regression with response surface analysis

This paper aimed to investigate how perceived servant leadership and employees' self-efficacy interact with each other to affect employees' service quality in the hospitality industry. We methodologically employed polynomial regression equation with response surface analysis. There were two studies in this paper. The data of the first study were obtained from front-line employees at a restaurant chain. A total of 673 employees provided valid data. The data of the second study were collected from front-line employees at five-star hotels. The sample consisted of 317 participants. Both studies yielded similar patterns and results. It was demonstrated that self-efficacy moderates the relationship between servant leadership and service quality, and employees' service quality was higher when both perceived level of servant leadership and self-efficacy were higher. The resulted also showed that the larger the difference between perceived level of servant leadership and self-efficacy, the higher employees' service quality.