Skip to Main Content
Article navigation
Purpose

A growing number of international travellers have influenced how hotels manage their customer satisfaction reviews and ratings. This study examines the influence of knowledge sharing on employee service quality and customer satisfaction in the hotel industry. Another purpose of this study is to investigate the moderating effect of artificial intelligence (AI) system quality on the relationship between knowledge sharing on employee service quality and customer satisfaction.

Design/methodology/approach

The research design was developed using the positivism approach and quantitative method. Data were collected via a self-administered survey from Vietnamese hotels that used AI systems in employees' work tasks. Three hundred and fifty pairs of questionnaires for frontline employees and customers were collected and used for the data analysis. Structural equation modelling was accessed to examine the framework model.

Findings

This research shows that the increase of knowledge sharing behaviours significantly influenced customer perceptions of employees' service quality. Furthermore, employee service quality positively affected customer satisfaction. An indirect impact of knowledge sharing on customer satisfaction via employee service quality was found. AI system quality moderated the effect of knowledge sharing on employee service quality whereby the higher the AI system quality, the stronger the impact of knowledge sharing on employee service quality. Therefore, a moderated mediation of employee service quality was found in examining the relationship between knowledge sharing and customer satisfaction.

Research limitations/implications

This study's findings direct hotel knowledge management and marketing strategies to attract international customers. The study provides hotel managers with directions to increase customer satisfaction to create a competitive advantage in international marketing strategies.

Originality/value

This study's distinctive contribution lies in examining the phenomenon of employee service quality at the intersection of knowledge sharing and customer satisfaction and the use of AI systems from an emerging market context. Furthermore, the moderation role of AI quality has rarely been explored.

Licensed re-use rights only
You do not currently have access to this content.
Don't already have an account? Register

Purchased this content as a guest? Enter your email address to restore access.

Please enter valid email address.
Email address must be 94 characters or fewer.
Pay-Per-View Access
$39.00
Rental

or Create an Account

Close Modal
Close Modal

Gift article access

As a benefit of your subscription, you can share temporary access to restricted articles.

Each link will stop working after 30 days or 10 uses. You may create up to 10 links in a 30 day period.

Please sign in to your personal account to gift article access.

Register

Gift article access

As a benefit of your subscription, you can share temporary access to restricted articles.

Each link will stop working after 30 days or 10 uses. You may create up to 10 links in a 30 day period.

Gift articles remaining: --

Gift article access

Each link will stop working after 30 days or 10 uses. You may create up to 10 links in a 30 day period.

Gift articles remaining: --

Gift article access

As a benefit of your subscription, you can share temporary access to restricted articles.

Each link will stop working after 30 days or 10 uses.

You have reached the limit of 10 links within a 30 day period.