Jungkeun Kim , Jeong Hyun Kim , Seongseop (Sam) Kim , Chulmo Koo , Namho Chung
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引用次数: 0
Abstract
This research explored how customers respond differently to short or long waiting times when using ChatGPT for hospitality and tourism recommendations. Using information processing theory, it delves into the interplay between response speed and consumer evaluation, with a nuanced examination of various moderating factors. Study 1 reveals that faster ChatGPT responses lead to increased satisfaction and likelihood of visitation, with perceived usefulness heightened. Study 2 found that this effect varies based on information complexity. If information is simple, getting a fast response is better. Study 3 indicates that for individuals high in patience and low in lay rationalism, slower responses may increase interest in suggested options. Study 4 confirms and complements the results of Studies 1, 2, and 3 by demonstrating preference for fast response, significance of information complexity, and perception of AI effort as a sign of credibility. These findings shed light on AI recommendation evaluation, informing enhancements in such systems.
期刊介绍:
The International Journal of Hospitality Management serves as a platform for discussing significant trends and advancements in various disciplines related to the hospitality industry. The publication covers a wide range of topics, including human resources management, consumer behavior and marketing, business forecasting and applied economics, operational management, strategic management, financial management, planning and design, information technology and e-commerce, training and development, technological developments, and national and international legislation.
In addition to covering these topics, the journal features research papers, state-of-the-art reviews, and analyses of business practices within the hospitality industry. It aims to provide readers with valuable insights and knowledge in order to advance research and improve practices in the field.
The journal is also indexed and abstracted in various databases, including the Journal of Travel Research, PIRA, Academic Journal Guide, Documentation Touristique, Leisure, Recreation and Tourism Abstracts, Lodging and Restaurant Index, Scopus, CIRET, and the Social Sciences Citation Index. This ensures that the journal's content is widely accessible and discoverable by researchers and practitioners in the hospitality field.