The Integration of Industry 4.0 Technologies in the Hospitality Sector
DOI:
https://doi.org/10.47604/ijts.3478Keywords:
Industry 4.0, Hospitality, Artificial Intelligence, Internet of Things, Big Data, Robotics, Digital Transformation, Workforce Reskilling, Data PrivacyAbstract
Purpose: The hospitality sector is also experiencing significant digital change by embracing such Industry 4.0 technologies as Artificial Intelligence (AI), the Internet of Things (IoT), Big Data analytics, and robotics. The research aims to determine how these technologies are transforming hotel operations, customer experience, and the labor force, and identify gaps and challenges that inhibit effective implementation.
Methodology: The paper uses the qualitative literature review of scholarly articles and industry reports published recently to generalize the current knowledge, identify gaps, and suggest future areas of research.
Findings: The results indicate that AI and chatbots can improve personalization and overall efficiency of staff, yet provoke some ethical issues concerning bias, transparency, and multilingual dialog. IoT facilitates smart rooms, predictive maintenance, and energy efficiency, but it also presents serious security and privacy concerns. Big Data allows better revenue management and optimal services, although it comes at the cost of regulatory compliance (GDPR). The adoption of robotics can reduce or eliminate labor shortages and promote consistency in services. Still, it differs depending on the cultural context, with Japan having adopted automation to a larger degree compared to the United States. Nevertheless, some challenges remain, including the cost of implementation, uncertainty over ROI, loss of jobs, and the limited ability of SMEs to scale.
Unique Contribution to Theory, Practice and Policy: The study suggests a balanced approach to the implementation of Industry 4.0 in the hospitality sector, which will focus on the cost-benefit justification in terms of ROI case studies, data governance, ethical protection measures, and reskilling as part of the workforce adjustment process. Future studies need to look at longitudinal studies of technology outcomes, cross-cultural adoption strategies, and workforce integration frameworks.
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Copyright (c) 2025 Abdulla Alhammadi
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