Ge Yuemeng, Xia Ke, Asif Muhammad, Ersoy Asli, Shahzad Muhammad Farrukh
School of Humanities, Ningbo University of Finance & Economics, Ningbo, 315000, China.
UE Business School, University of Education, Lahore, Pakistan.
Sci Rep. 2025 Jul 24;15(1):26909. doi: 10.1038/s41598-025-11757-6.
This qualitative study aims to investigate the critical success factors (CSFs) driving the adoption of robotic process automation (RPA) in the hotel industry, uncovering the essential drivers behind effective implementation. Based on interviews conducted in Pakistan and China, thematic analysis was performed with the support of NVivo 14 software to systematically identify and categorize the main facilitators and barriers of RPA adoption in the hotel industry within these two national contexts. Pre-implementation highlights defined goals, process identification, and stakeholder alignment; implementation emphasizes a dedicated project team, process standardization, and a detailed project plan; post-implementation stresses continuous monitoring, performance metrics, and ongoing training. The study raises awareness among practitioners and policymakers, providing novel and context-specific insights for RPA implementation in hotels.
这项定性研究旨在调查推动酒店业采用机器人流程自动化(RPA)的关键成功因素(CSF),揭示有效实施背后的关键驱动因素。基于在巴基斯坦和中国进行的访谈,在NVivo 14软件的支持下进行了主题分析,以系统地识别和分类这两个国家背景下酒店业采用RPA的主要促进因素和障碍。实施前强调明确目标、流程识别和利益相关者协调一致;实施过程中强调要有专门的项目团队、流程标准化和详细的项目计划;实施后强调持续监控、绩效指标和持续培训。该研究提高了从业者和政策制定者的认识,为酒店业实施RPA提供了新颖且因地制宜的见解。