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Drawing on the Service Robot Acceptance Model (sRAM) proposed by Wirtz et al. (2018), this study aims to examine how functional and social-emotional antecedents affect relational elements and the critical functions that trust and rapport play in robot acceptance in hotel services. Additionally, this study incorporates customer characteristics into the modified sRAM.

Consistent partial least squares (PLSc) was used to test the proposed model utilizing data collected from 456 Chinese customers.

The results indicated that effort expectancy and performance expectancy positively affect hotel guests’ trust toward and rapport with service robots. However, the effect of social influence on trust and rapport is insignificant. Additionally, perceived humanness and perceived social interactivity positively influence rapport, and perceived social presence positively affects both trust and rapport. Furthermore, trust and rapport positively influence hotel guests’ acceptance of service robots. The results also revealed the moderating role of age.

This study contributes to service robot literature by providing insights into how functional and social-emotional factors affect relational factors and the key role of relational factors in robot acceptance based on the sRAM. This study also advances this body of knowledge by highlighting the moderating effect of age.

基于Wirtz等人（2018）提出的服务机器人接受模型（sRAM）, 本研究旨在探讨功能性和社会-情感性前因如何影响关系元素, 以及信任和融洽在酒店服务中对机器人接受度的关键作用。此外, 本研究将顾客特征纳入修改后的 sRAM 中。

采用一致性偏最小二乘法（PLSc）对来自456名中国顾客的数据进行分析，以验证所提出的模型。

结果表明, 努力期望和绩效期望积极影响酒店客人对服务机器人的信任和融洽。然而, 社会影响对信任和融洽的影响不显著。此外, 感知人性化和感知社会互动积极影响融洽, 感知社会临场感积极影响信任和融洽。此外, 信任和融洽积极影响酒店客人对服务机器人的接受度。结果还揭示了年龄的调节作用。

本研究通过提供关于功能性和社会-情感性因素如何影响关系因素以及关系因素在机器人接受度中的关键作用的见解, 为服务机器人文献做出了贡献。本研究还通过强调年龄的调节效应, 推进了这一知识体系的发展。

This study aims to investigate the impact of Internet use on household financial market participation and portfolio choice.

Based on the Chinese General Social Survey 2017 (CGSS2017), this study empirically explores whether Internet use affects household financial market participation in China with an Endogenous Switching Probit model.

The results show that households using the Internet are more likely to invest in financial markets. Further research shows that households with high Internet use are significantly more likely to participate in financial markets than households with low Internet use. From the perspective of household portfolio choice, Internet use has a certain role in increasing the probability of portfolio diversification. However, among households that have invested in financial markets, those with a high-frequency use of the Internet do not show an impact on portfolio diversification.

This study complements existing research about the impact of Internet use or not on household financial market decisions and portfolio choice, expands the knowledge on the household financial market choice from the respective of the degree of Internet use.

The purpose of this study is to investigate the continuous intention to use blockchain and FinTech innovations, focusing on the direct impact of user trust and perceived risks. It seeks to test how information technology (IT) quality directly affects user-perceived risk and trust and to identify how IT quality can influence FinTech continuance intentions. By examining these relationships, the study provides insights into how improvements in IT quality can mitigate perceived risks and enhance user trust, ultimately fostering sustained use of FinTech and blockchain technologies.

To achieve the purpose of this study, the model and hypotheses were examined based on the partial least squares structural equation modeling (PLS-SEM).

Results revealed that perceived risk is negatively impacted by system quality, while trust is positively impacted by information quality, and the most significant result in the study is continuous-use intention and uncertainty both are impacted by service quality. Also, the study used some control variables, and two of them (i.e. FinTech type and education) showed a positive significant relationship with continuance-use intention.

This study identifies several causal relationships between the continuance-use intention of blockchain and FinTech innovations and various factors, which can provide valuable insights for managers, enabling them to formulate appropriate strategies to foster sustainable growth in FinTech and blockchain. By leveraging these findings, managers can enhance IT quality, reduce perceived risks and build user trust, thereby promoting the ongoing adoption and success of blockchain and FinTech innovations.

The outcomes obtained will help both FinTech providers and researchers elucidate and understand the situation of users’ concerns about the unexpected risks/uncertainty in FinTech transactions can be mitigated through providing a high level of quality IT service and systems. Two main strategies can be merged to be used by FinTech providers/managers, first: trust building, second: risk-mitigating, both strategies can be used in the light of IT innovation and its aspects to meet the sustainable growth of FinTech.

The rise of virtual streamers in live streaming commerce has gained momentum, driven by the increasing prevalence of human–computer interactivity and artificial intelligence. However, achieving its broader adoption necessitates a comprehensive understanding of consumers' intention to switch from conventional human streamers to virtual streamer services as alternatives. To bridge this knowledge gap, this study endeavours to introduce and substantiate an asymmetric model incorporating innovation barriers, shopping motivations and personalities, shedding light on consumers' intention to switch.

An online survey was conducted in the United Kingdom and analysed using a comprehensive approach that integrates Necessary Conditions Analysis (NCA), Artificial Neural Networks (ANNs) and fuzzy-set Qualitative Comparative Analysis (fsQCA).

The results unveiled six configurations of arrangements, each of them characterised by a unique combination of causation.

In knowledge, this study presents a significant contribution by revealing both the determinants that stimulate or hamper the desire to switch based on consumer-centric perspectives. In practice, this study is critical for helping practitioners overcome difficulties related to adoption and make educated judgements when promoting virtual streamers and developing marketing strategies in live streaming commerce.