Authorship：Lead author,　Last author,　Corresponding author   Language：English  

DOI： 10.24294/jipd.v8i7.5425

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Language：English   Publisher：Emerald  

Purpose

This study aims to compares the effects of different human-like appearances (low vs. medium vs. high) of service robots (SRs) on consumer trust in service robots (CTSR), examines the mediating role of perceived warmth (WA) and perceived competence (CO) and demonstrates the moderating role of culture and service setting.

Design/methodology/approach

The research design includes three scenario-based experiments (Chinese hotel setting, American hotel setting, Chinese hospital setting).

Findings

Study 1 found SR’s human-like appearance can arouse perceived anthropomorphism (PA), which positively affects CTSR through parallel mediators (WA and CO). Study 2 revealed consumers from Chinese (vs. American) culture had higher CTSR. Study 3 showed consumers had higher WA and CO for SRs in the credence (vs. experience) service setting. The authors also had an exploratory analysis of the uncanny valley phenomenon.

Practical implications

The findings have practical implications for promoting the diffusion of SRs in the hospitality industry. Managers can increase CTSR by augmenting the anthropomorphic design of SRs; however, they must consider the differences in this effect across all service recipients (consumers from different cultures) and service settings.

Originality/value

The authors introduce WA and CO as mediators between PA and CTSR and set the culture and service setting as moderators.

DOI： 10.1108/ijchm-06-2023-0845

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Other Link： https://www.emerald.com/insight/content/doi/10.1108/IJCHM-06-2023-0845/full/html

Authorship：Lead author,　Last author,　Corresponding author   Language：Chinese   Publishing type：Research paper (scientific journal)  

File： 网络社群与网站对休闲农业旅游行为意向的影响分析——依据AISAS模型 终稿.pdf

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Authorship：Lead author,　Last author,　Corresponding author   Publishing type：Research paper (scientific journal)   Publisher：SAGE Publications  

This study aims to investigate the mechanism for the combined influence of brand, quality, and corporate social responsibility management strategy on financial performance. These management concepts are positively used in agricultural small-medium enterprises as three research streams. However, because of resource limitations, the cost of brand management would be a burden or corporate social responsibility activities may lead to harmful performance. There are many conflicting findings in the existing research. This study analyzed data from 371 agricultural small-medium enterprises in China using fsQCA 3.0. The result reveals four solution pathways for achieving high financial performance and highlights the attributes of each solution pathway. The findings suggest that integrating brand, quality, and corporate social responsibility management, or combining brand and quality management are effective options for achieving high financial performance in agricultural small-medium enterprises. These results have significant implications for managers seeking to improve their firm’s financial performance by optimizing their management strategies.

JEL Classification: M14, M31, Q13

DOI： 10.1177/21582440231219911

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Other Link： http://journals.sagepub.com/doi/full-xml/10.1177/21582440231219911

Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

Artificial intelligence (AI) is being increasingly used as a decision agent in enterprises. Employees’ appraisals and AI affect the smooth progress of AI–employee cooperation. This paper studies (1) whether employees’ challenge appraisals, threat appraisals and trust in AI are different for AI transparency and opacity. (2) This study investigates how AI transparency affects employees’ trust in AI through employee appraisals (challenge and threat appraisals), and (3) whether and how employees’ domain knowledge about AI moderates the relationship between AI transparency and appraisals. A total of 375 participants with work experience were recruited for an online hypothetical scenario experiment. The results showed that AI transparency (vs. opacity) led to higher challenge appraisals and trust and lower threat appraisals. However, in both AI transparency and opacity, employees believed that AI decisions brought more challenges than threats. In addition, we found the parallel mediating effect of challenge appraisals and threat appraisals. AI transparency promotes employees’ trust in AI by increasing employees’ challenge appraisals and reducing employees’ threat appraisals. Finally, employees’ domain knowledge about AI moderated the relationship between AI transparency and appraisals. Specifically, domain knowledge negatively moderated the positive effect of AI transparency on challenge appraisals, and domain knowledge positively moderated the negative effect of AI transparency on threat appraisals.

DOI： 10.3390/bs13040344

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