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This study aims to understand how travelers evaluate travel destination recommendations received from either artificial intelligence (AI) or human travel experts (TEs) based on the size of recommendation and their travel involvement.

This study used a 2 (agent type: AI vs TE) × 2 (size of recommendation: small vs large) × 2 (travel involvement: low vs high) between-subjects design.

When AI recommends destinations, less-involved travelers perceive the recommendations as more credible and trust the system when AI offers larger recommendations than smaller ones. Meanwhile, when TEs offer recommendations, travelers consider the recommendations as equally credible and similarly trust the system, regardless of the recommendation size and travel involvement.

This study sheds light on the design of human-centered AI travel destination recommendation services.

本研究旨在了解旅行者如何根据推荐的规模和他们的旅行参与度来评估从人工智能 (AI) 或人类旅行专家 (TE) 收到的旅行目的地推荐。

本研究使用 2（代理类型：AI 与 TE）×2（推荐数量：小与大）×2（旅行参与：低与高）受试者间设计。

当 AI 推荐目的地时, 参与度较低的旅行者认为推荐更可信, 并且当 AI 提供的建议比较小的建议大时信任系统。 同时, 当 TE 提供推荐时, 无论推荐数量大小和旅行参与度如何, 旅行者都认为这些推荐同样可信并且同样信任系统。

这项研究揭示了以人为本的人工智能旅游目的地推荐服务的设计。

Based on the limited-capacity model of motivated mediated message processing (LC4MP), this study aims to examine the effects of different camera types on the viewing experiences of sports consumers and their intention to follow social media channels, depending on their level of sports involvement.

The design for this experiment utilized 2 (highly involved vs less involved sports consumers) × 2 (high-tech vs non-high-tech cameras) between-subjects design. Overall, 289 US-based sports consumers participated in this experiment.

The results indicate that sports videos recorded by high-tech cameras lead to greater perceived novelty than those recorded by non-high-tech cameras, thus enhancing sports consumers' intention to follow social media channels, especially when consumers are highly involved with the target sports. However, sports consumers who are less involved with particular sports become distracted during their viewing experiences when high-tech cameras are used to broadcast games; these consumers' intentions to follow social media channels are not strengthened.

Previous studies have focused mainly on the positive effects of high-tech cameras on the viewing experiences of sports consumers. Based on the LC4MP, the authors extend the existing literature not only by examining the mechanism that underpins the positive effects of high-tech cameras, but also by identifying a situation where the use of high-tech cameras results in a negative viewing experience for sports consumers.

The current study aims to develop a comprehensive hierarchical model of traits and needs to provide a theoretical understanding of personality determinants of luxury-services consumption.

The sample comprised 415 single-event buyers of premium seats in sports stadiums. The causal relationships of hierarchically ordered four traits – elemental, compound, situational and surface – were examined.

Extraversion was found to be an important trait for needs for material resources and status, while conscientiousness and openness were important predictors of need for arousal. Furthermore, needs for material resources, status and uniqueness were found to be important for self-value consciousness. Self-value consciousness was found to be an important predictor of purchase intention.

The study integrates fragmented luxury services research on individual differences. The findings about the personality determinants would provide relatively consistent predictions behind luxury-services consumption potentially applicable to diverse luxury markets.

Marketers and brand managers are subject to reputational crises when their endorsers are involved in scandals. To effectively manage such crises, it is imperative to understand (1) the underlying mechanisms through which consumers process negative information surrounding morally tainted endorsers, and (2) how these mechanisms affect consumer behavior in the context of athlete scandals.

Drawing on attribution theory and the moral reasoning strategy framework, we investigate the impact of attribution on moral reasoning strategies, and the impact of such strategies on consumers' responses to scandalized athletes and endorsements.

Overall, our results demonstrate that the same scandal can be evaluated differently, depending on its information, including the consensus, distinctiveness, and consistency of the scandal. The results of Study 1 show that in the context of an on-field scandal, individuals engage in a sequential cognitive process in which they go through attribution, the choice of a moral reasoning strategy, and ultimately a response. The results of Study 2 reveal that in the context of an off-field scandal, attribution directly influences consumers' responses.

We extend the existing literature on the moral reasoning of athlete scandals by suggesting that attribution is a determinant of moral reasoning choice in the context of on-field scandals. We also extend the sports marketing and consumer behavior literature by suggesting that consumers' diverse reactions to athlete scandals depend on their attribution patterns and moral reasoning choices.

No psychometrically sound measurement scale exists to effectively measure sports team reputation. The current study proposed and developed the Spectator-based Sports Team Reputation (SSTR) by considering the most important stakeholder groups - spectators. The results indicated that SSTR had a positive and direct impact on team identification and trust towards a team. The most significant theoretical contribution of this study is the conceptualisation and development of the SSTR scale, with a multi-dimensional approach from the spectator perspective.