Rasheed Hafiz Muhammad Wasif, Chen Yun, Khizar Hafiz Muhammad Usman, Safeer Asif Ali
School of Management, Department of Business Administration, Huazhong University of Science and Technology (HUST), Wuhan, China.
School of Business Administration, Hubei University of Economics, China.
Heliyon. 2023 Jun 2;9(6):e16968. doi: 10.1016/j.heliyon.2023.e16968. eCollection 2023 Jun.
This study explores the reasons (for and against) the adoption of AI in the hospitality industry among Pakistani customers. The hypothesis was tested using the sample obtained from Pakistani hospitality customers. The data is collected via an online survey and analyzed with the structural equation modeling and PROCESS macro. The study results indicate that cultural values positively associate reasons for, attitudes, and intentions to adopt. Moreover, the results prove that attitude mediates the relationship between reasons (for and against) and intention to adopt AI services in hospitality. Furthermore, the finding shows that customer emotional intelligence has no moderation effect on attitude and intention to adopt AI services. This study highlights technological complexity and safety concerns are the most significant barriers in the studied context. Further, addressing reason against (technological complexity and safety concerns) may allow policymakers to lessen the present customer attitude-intention gap by tackling the factors that cause customers to resist adopting AI services in hospitality. In this respect, marketers should develop a marketing campaign strategy focusing on the benefits of the adoption of AI services in comparison to employee service. This is the first empirical study examining cultural values, reasons (for and against) attitudes, their relationship with intentions, and moderating role of an attractive, important, yet ignored variable, customer emotional intelligence. This study confirms that the behavioral reasoning theory can better describe the customers' adoption behavior of AI services in the hospitality sector.
本研究探讨了巴基斯坦客户在酒店业采用人工智能的支持和反对理由。使用从巴基斯坦酒店客户那里获得的样本对假设进行了检验。数据通过在线调查收集,并采用结构方程模型和PROCESS宏进行分析。研究结果表明,文化价值观与采用人工智能的理由、态度和意图呈正相关。此外,结果证明态度在支持和反对采用人工智能服务的理由与意图之间起中介作用。此外,研究结果表明,客户情商对采用人工智能服务的态度和意图没有调节作用。本研究强调,技术复杂性和安全问题是所研究背景下最显著的障碍。此外,解决反对理由(技术复杂性和安全问题)可能会使政策制定者通过解决导致客户抵制在酒店业采用人工智能服务的因素来缩小当前客户态度与意图之间的差距。在这方面,营销人员应制定一项营销活动策略,重点关注与员工服务相比采用人工智能服务的好处。这是第一项实证研究,考察了文化价值观、支持和反对态度、它们与意图的关系,以及一个有吸引力、重要但被忽视的变量——客户情商的调节作用。本研究证实,行为推理理论能够更好地描述酒店业客户对人工智能服务的采用行为。