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This study aims to explicate consumers’ intentions to use online food delivery systems (OFDS) subscription services. The study revisited the unified theory of acceptance and use of technology.

A typical methodology that involved a confirmatory factor analysis, followed by structural equation modeling, was used to test the hypotheses using a sample of 573 OFDS users from the USA.

The results revealed that social influence has the most significant impact on consumers’ intentions to use OFDS subscription services, while effort expectancy and perceived security have relatively lower impacts on consumers’ intentions to use OFDS subscription services. In addition, the study revealed the role of compatibility and convenience orientation in shaping consumers’ OFDS system perceptions (e.g. performance and effort expectancy).

The results provide several theoretical and managerial implications and open new avenues for future research. The study advances the literature by validating the set of antecedents of important core perceptions (e.g. performance expectancy and effort expectancy). The study also provides implications for two types of practitioners, such as OFDS and restaurants.

To the best of the authors’ knowledge, this is the first study to examine consumers’ intentions to use OFDS subscription services. This study is also the first to examine key factors influencing consumers’ intentions to use OFDS subscription services.

本研究旨在阐明消费者使用在线订餐（OFDS） 订阅服务的意图。该研究重新审视了 Unified Theory of Acceptance and Use of Technology 理论（UTAUT2）。

本研究采用典型的量化研究方法, 包括确认性因子分析和结构方程建模, 并使用来自美国的573名OFDS用户的样本来测试假设。

结果显示, 社会影响对消费者使用OFDS订阅服务的意图具有最显著的作用, 而努力期望和感知安全对消费者使用OFDS订阅服务的意图影响较小。此外, 研究揭示了兼容性和便利性取向在塑造消费者对OFDS系统感知（例如, 性能和努力期望）方面的作用。

研究结果提供了多方面的理论和管理启示, 并为未来研究开辟了新的途径。本研究通过验证重要核心感知（例如, 性能期望和努力期望）的前因完善了相关文献。另外, 本研究还为OFDS和餐厅等两类从业者提供了重要启示。

本研究是第一个调查了消费者使用OFDS订阅服务意图的研究, 也是首次研究了影响消费者使用OFDS订阅服务意图的形成因素。

This study aims to examine hotel guests’ acceptance of technology agency – the extent to which they would let artificial intelligence (AI)-based systems make decisions for them when staying in hotels. The examination was conducted through the prism of several antecedents of acceptance of technology agency, including perceived ethics, benefits, risks and convenience orientation.

A thorough literature review provided the foundation of the structural model, which was tested using confirmatory factor analysis, followed by structural equation modeling. Data were collected from 400 US hotel guests.

The most important determinant of acceptance of technology agency was perceived ethics, followed by benefits. Risks of using AI-based systems to make decisions for consumers had a negative impact on acceptance of technology agency. In addition, perceived loss of competence and unpredictability had relatively strong impacts on risks.

The results provide a conceptual foundation for research on systems that make decisions for consumers. As AI is increasingly incorporated in the business models of hotel companies to make decisions, ensuring that the decisions are perceived as ethical and beneficial for consumers is critical to increase the utilization of such systems.

Most research on AI in hospitality is either conceptual or focuses on consumers’ intentions to stay in hotels that may be equipped with AI technologies. Occupying a unique position within the literature, this study discusses the first time AI-based systems that make decisions for consumers. The value of this study stems from the examination of the main concept of technology agency, which was never examined in hospitality.

Given the rapid development in artificial intelligence (AI), the hotel industry is deploying AI-based systems. In line with this important development, this study aims to examine the impact of trust in the hotel and AI-related performance ambiguity on consumers’ engagement with AI-based systems. This study ultimately examined the impact of engagement on consumers’ intentions to stay in hotels offering such systems, and intentions to tip.

This study developed a conceptual model based on the social cognition theory. The study used an online survey methodology and collected data from a nationwide sample of 400 hotel consumers from the USA. The data analysis was conducted with structural equation modeling.

Consumers’ engagement is strongly influenced by their trust in the hotel but not by performance ambiguity associated with AI. In turn, engagement strongly influenced consumers’ intentions to stay in hotels that have such systems and their intentions to tip.

As AI systems capable of making decisions for consumers are becoming increasingly present in hotels, little is known about the way consumers engage with such systems and whether their engagement leads to economic impact. This is the first study that validated a model that explains intentions to stay and tip for services facilitated by autonomous AI-based systems that can make decisions for consumers.

鉴于人工智能领域的快速发展, 酒店业正在部署基于人工智能的系统。为此, 本研究探讨了客人对酒店的信任和与AI相关的性能模糊性对消费者与基于AI的系统互动的影响。最终, 本研究考察了参与度对客人在提供此类系统的酒店住宿意愿和小费意愿的影响。

本研究基于社会认知理论开发了一个概念模型。研究采用在线调查方法, 从美国全国范围的400名酒店消费者中收集数据, 并采用结构方程建模进行数据分析。

消费者的参与度受酒店的信任强烈影响, 但不受与AI相关的性能模糊性的影响。反过来, 参与度强烈影响了消费者在提供此类系统的酒店住宿和给小费的意愿。

随着能够代表消费者做出决策的人工智能（AI）系统在酒店中日益普及, 人们对消费者如何与这类系统互动以及他们的互动是否会产生经济影响知之甚少。这是第一项验证了一个可以解释在自主的基于AI系统的服务下住宿和给小费意愿的模型的研究。

The purpose of this paper is to examine the role of digital transformation processes for food and beverage companies by investigating how the sustainability-related communication focus (low vs. high) in food waste fighting mobile applications' advertising campaigns influence consumers' intention to use such mobile app, via their environmentalism.

An experimental study has been conducted by using a fictitious mobile app named “Boxy Food!” among a sample of 408 randomly recruited international participants.

Findings reveal that the sustainability-related communication focus in such food waste-fighting mobile apps advertising campaigns (low vs. high) positively affects consumers' intentions to use such mobile apps through the effect of environmentalism. More interestingly, this effect increases in magnitude, becoming higher among those consumers who exhibit a high level of status consumption orientation explaining their behavior as an attempt to “be green, to be recognized from the others.”

This study suggests marketers and managers operating in the food and beverage sector how to design effective strategies to incentivize sustainable behavior through the use of new technologies, by leveraging consumers' individual differences, and specifically on their desire to be recognized as sustainable consumers.

This is the first study demonstrating how the combined effects of the sustainability-related communication focus (low vs. high) may incentivize the use of mobile applications for food waste fighting, by leveraging on consumers' looking to be recognized as green.