Perception of artificial intelligence and intrinsic work motivation: evidence from Vietnam

IF 11.3 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM
Ngoc Lan Nguyen,Yueru Ma,Oluwole Nurudeen Omonijo,Farhan Hussain,Tanyuan Xing
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引用次数: 0

Abstract

Purpose This study aims to investigate how sales staff’s perceptions of AI (i.e. perceived usefulness (PU) and perceived ease of use (PEOU) drive their intrinsic work motivation through AI use experience (AUE) and how internal training (IT) moderates this process within tourism and hospitality business. Design/methodology/approach Rooted in the technology acceptance model (TAM), flow theory and self-determination theory (SDT), this study used exploratory sequential mixed-method design. Scale purification (EFA) and scale validation (CFA) were conducted using SPSS and AMOS and hypothesis testing results were validated using partial least squares structural equation modeling (PLS-SEM). Findings The results revealed that PU and PEOU positively influence AI-specific intrinsic work motivation (AI-IWM) indirectly, through the mediating role of AUE. Furthermore, IT positively moderates the relationships between perception of AI and AUE, which ultimately improves AI-IWM. Practical implications The findings offer valuable insight into service and hospitality management sectors aiming to enhance work motivation among sales staff through AI. Given the significant influence of intrinsic motivation among sales staff in tourism and hospitality businesses, organization with a focus on AI adoption at workplace must be mindful of negative influence of AI on employees’ work motivation and outcome. Originality/value This study enriched the understanding of the motivations underlying the perception of AI and intrinsic work motivation by integrating insights from the TAM, SDT and flow theory. This study provided valuable implication for research and practices in the service business sector.
人工智能感知与内在工作动机:来自越南的证据
本研究旨在调查销售人员对人工智能的感知(即感知有用性(PU)和感知易用性(PEOU)如何通过人工智能使用体验(AUE)驱动他们的内在工作动机,以及内部培训(IT)如何调节旅游业和酒店业的这一过程。基于技术接受模型(TAM)、流程理论和自我决定理论(SDT),本研究采用探索性顺序混合方法设计。采用SPSS和AMOS进行规模纯化(EFA)和规模验证(CFA),采用偏最小二乘结构方程模型(PLS-SEM)对假设检验结果进行验证。结果表明,PU和PEOU通过AUE的中介作用,间接正向影响ai特异性内在工作动机(AI-IWM)。此外,信息技术正向调节人工智能感知与AUE之间的关系,最终改善了人工智能-人工智能。研究结果为服务和酒店管理部门提供了宝贵的见解,旨在通过人工智能提高销售人员的工作动机。鉴于旅游和酒店业销售人员内在动机的重大影响,专注于在工作场所采用人工智能的组织必须注意人工智能对员工工作动机和结果的负面影响。独创性/价值本研究通过整合TAM、SDT和流理论的见解,丰富了对人工智能感知和内在工作动机背后的动机的理解。本研究为服务业的研究与实践提供了有价值的启示。
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来源期刊
CiteScore
16.90
自引率
31.50%
发文量
239
期刊介绍: The International Journal of Contemporary Hospitality Management serves as a conduit for disseminating the latest developments and innovative insights into the management of hospitality and tourism businesses globally. The journal publishes peer-reviewed papers that comprehensively address issues pertinent to strategic management, operations, marketing, finance, and HR management in the field of hospitality and tourism.
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