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The purpose of this paper is to present an overview of revenue management (RM) studies that focus on information technology (IT) and consumer behavior published between 2008 and 2018.

In total, 112 articles published in 17 journals were identified and analyzed.

This study shows the importance of IT and RM and focuses on the consumer perspective. It also emphasizes that technology is not the enemy of humans: it complements and adds value to their existing jobs.

Book chapters and conference proceedings related to IT and RM were not included in this study. Besides, only journal papers published in English were included in the study. The categorizing of subjects can be seen as subjective.

This study helps researchers discover articles from 2008 to 2018 and helps hospitality executives interested in RM technologies from the demand side to use these findings in their business environment.

Based on the interaction between service providers (hotels) and users (consumers) on IT and RM platforms, the paper identified eight key components that have been relevant over the past decade.

本论文旨在介绍2008年至2018年之间的财务管理（RM）研究中涉及信息技术（IT）和消费者行为的文献综述。

本研究样本为发表在17个期刊的共112篇文章。

研究结果指出了IT和RM的重要性, 以及对消费者方面的重视。此外, 本研究还指出了技术不是人类的敌人– 技术能够弥补以及对人类原有的工作增添价值。

本研究未将涉及IT和RM的书和会议文章纳入样本。此外, 只有英文的期刊文章构成研究样本。对研究样本的主题归类是主观性的。

本论文梳理了2008年至2018年发表的文献, 以及帮助酒店实践者们对RM科技从需求方面更了解其商务环境。

本论文基于服务供应者（酒店）和用户（消费者）在IT和RM交互平台上, 提出了过去十年中相关的八大关键因素。

The purpose of this study is to discover what attributes of casino buffet restaurants are the most important for customers’ willingness to pay (WTP).

Choice-based conjoint analysis was used in this study to test seven attributes: food, price/value, real price, service, atmosphere, the number of reviews and user-generated star ratings. Sawtooth Software was used to do the conjoint analysis, and a series of significance t-tests were run to determine the significance of each attribute on WTP with Statistical Package for the Social Sciences (SPSS).

Based on a survey of 483 respondents who had visited a buffet at a casino within the last two years, this study found that food is ranked as the most significant attribute of a casino buffet restaurant, followed by real price and service quality.

Theoretically, this work is the first to the authors’ knowledge to apply the antecedents of behavioral intention to willingness-to-pay for niche restaurants. Practically, the results of this study will help casino buffet operators as they re-open after COVID-19. Future studies could collect data in the post-pandemic environment and examine WTP at casino buffets in different geographic locations.

This study aimed to identify distinctive characteristics of hotel guests and understand their perception of guestroom technologies (GRTs) in hotels by utilizing the theory of consumer innovativeness and the social influence theory.

The data were collected from 268 hotel guests. The K-means clustering algorithm was employed to identify participants based on their views on the significance of technologies provided in guest rooms. A multivariate analysis of variance was applied to investigate if there were significant differences among clusters regarding social influence on hotel bookings, technology innovativeness and technology expertise and knowledge.

Two clusters were identified: technology compassionates and casual users of technology. Findings revealed that technology compassionates are more influenced by their friends when booking a hotel compared to casual users of technology. The ability to link up multiple wireless mobile devices, accessible outlets and mobile websites were the most critical GRTs for technology compassionates.

Technology should be considered a crucial part of the hotel guest experience. Hoteliers ought to continue investing in smart technologies to improve their guests' experiences. GRTs can reduce overhead staff costs while giving guests more control over their stay by utilizing everyday items like smartphones and offering them more power over their lodging experience.

This study advances the existing literature on GRTs by identifying which GRTs produce the most customer satisfaction. Moreover, this study explores the impact of social influence, innovativeness as a personality trait and having expert knowledge of technologies on preferences for GRTs.

The Internet of Things (IoT) is perceived as an evolving trend in the tourism industry, with the potential to change its dynamics. IoT will help destinations, airlines, hotels and cruises personalise their services for tourists and guests. Moreover, it has several advantages for them, such as cost savings, increased productivity, greater efficiency and customised and differentiated services. The readers of this chapter will learn about the trends of IoT in the tourism industry, discover its benefits and learn about the most critical applications.