Heesup Han, Sung In Kim, Jin-Soo Lee, Inyoung Jung
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引用次数: 0
Abstract
Purpose
This study aims to discover factors and configurations that influence customers’ acceptance behaviors to investigate the current hospitality industry using service robots.
Design/methodology/approach
A mix of symmetrical and asymmetrical modeling methods was used for the data analysis. The symmetrical modeling was used to find the net effects, whereas asymmetrical modeling was adopted to find the combined configurations for hotel guests’ robot service acceptance behaviors.
Findings
The results revealed the significant effect of innovativeness, willingness to be a lighthouse customer, personal norms and concern about service robot performance on acceptance behaviors. In addition, the complex solution models using characteristics of tech-forward consumers, norms and attitude and uncertainty and concern were found.
Practical implications
The study shows directions to hotel marketers, to help them make customers adopt service robots.
Originality/value
The study explored customer service robot acceptance behaviors based on comprehensive theoretical backgrounds, including the technology acceptance model, theory of planned behavior, norm activation model and service robot acceptance model.
期刊介绍:
The International Journal of Contemporary Hospitality Management serves as a conduit for disseminating the latest developments and innovative insights into the management of hospitality and tourism businesses globally. The journal publishes peer-reviewed papers that comprehensively address issues pertinent to strategic management, operations, marketing, finance, and HR management in the field of hospitality and tourism.