ARTIFICIAL INTELLIGENCE IN HRM:A HOSPITALITY PERSPECTIVE IN SRI LANKA
Artificial Intelligence (AI) is reshaping Human Resource Management, particularly within Sri Lanka’s hospitality industry, where efficiency and service quality are critical. From automated CV screening to predictive workforce analytics, AI enables faster, data-driven decisions. However, a key concern remains: does faster decision-making lead to better or fairer outcomes?
In a people-centric sector like hospitality, this issue is
especially important. While AI improves efficiency, it also introduces risks
related to bias, transparency, and employee trust. The Technology Acceptance
Model (TAM) and Equity Theory offer useful frameworks to critically
evaluate these developments.
The Technology Acceptance Model (TAM) suggests that
technology adoption depends on perceived usefulness and ease of use (Davis,
1989). In Sri Lanka’s hospitality sector particularly among large hotels and
resorts, AI tools are increasingly adopted for recruitment and workforce
management due to their ability to reduce administrative workload and speed up
hiring processes. Simply put, hotels adopt AI to save time and minimize
paperwork, allowing staff to focus on more important work.
This idea is further supported by Venkatesh and Davis
(2000), who highlight that social influence and job relevance
also drive adoption. In a competitive tourism market, Sri Lankan hospitality
firms may feel pressure to adopt AI to remain efficient and globally
competitive. Large hotel chains such as Aitken Spence and Hayleys,
which manage multiple properties, use AI to stay connected across locations,
coordinate schedules, and monitor staff performance, demonstrating TAM in
practice.
A practical example is Unilever, which uses AI for candidate
screening and video interviews, significantly reducing hiring time (Venkatesh
and Davis, 2000). Similar practices are gradually emerging in Sri Lanka’s hotel
industry, especially during peak tourist seasons.
However, adoption of AI does not guarantee fairness. Equity
Theory (Adams, 1965) states that employees evaluate fairness by comparing
their inputs (effort, skills) with outcomes (rewards,
opportunities). In hospitality, decisions about promotions or shift
schedules directly impact employees, and a lack of transparency in
AI-driven systems can lead to perceived inequity. For instance, Amazon’s
AI recruitment tool displayed bias against female candidates due to
historical hiring patterns (Reuters, 2018).
A critical challenge is the limited human oversight in AI HR processes. In hospitality, where interpersonal skills are essential, over-reliance on algorithms can undermine effective decision-making. While AI improves efficiency, HR managers must balance technology use with fairness, transparency, and human judgment to ensure that both employees and organizations benefit.
Conclusion
AI has the potential to enhance HRM in Sri Lanka’s hospitality sector by improving efficiency and consistency. However, fairness and transparency must remain central. HR professionals must actively audit AI systems, ensure explainability, and maintain human oversight. When used as a support tool rather than a replacement for human judgment, AI can create value. Otherwise, it risks undermining employee trust—the foundation of effective hospitality management.
References
Davis, F.D. (1989) ‘Perceived usefulness, perceived ease of
use, and user acceptance of information technology’, MIS Quarterly.
Venkatesh, V. and Davis, F.D. (2000) ‘A theoretical extension of the technology acceptance model’, Management Science.
Adams, J.S. (1965) ‘Inequity in social exchange’, Advances in Experimental Social Psychology.
Reuters (2018) ‘Amazon scraps AI recruiting tool that showed
bias against women’.
Raghavan, M., Barocas, S., Kleinberg, J. and Levy, K. (2020) ‘Mitigating bias in algorithmic hiring’, FAT Conference*.
Interested !Do you think AI in HR could help HR teams focus more on strategic, people‑centered work by freeing them from repetitive admin tasks like screening resumes and scheduling interviews?
ReplyDeleteYes, absolutely. AI has strong potential to support HR teams by taking over repetitive and time-consuming administrative tasks such as CV screening, interview scheduling, and basic candidate filtering. This allows HR professionals to shift their focus toward more strategic and people-centered activities like employee engagement, talent development, and workplace culture. However, as highlighted in the blog, this benefit depends on how AI is implemented. While efficiency improves, organizations still need to ensure that human oversight remains central, especially in areas where fairness, empathy, and contextual judgment are important. Ideally, AI should act as a support tool rather than a complete replacement for human decision-making in HR.
DeleteIt seems good. However, please make sure to cite correct references. I don't think the following citation is correct. "A practical example is Unilever, which uses AI for candidate screening and video interviews, significantly reducing hiring time (Venkatesh and Davis, 2000)."
ReplyDeleteThank you for your valuable feedback, Sir. I will carefully review and verify all citations in my other work to ensure they are correct and properly referenced.
DeleteI like the Concept but how does artificial intelligence improve efficiency in HRM practices in Sri Lanka’s hospitality industry?
ReplyDeleteThank you for your question. Artificial Intelligence improves efficiency in HRM practices in Sri Lanka’s hospitality industry primarily by automating time-consuming and repetitive tasks such as CV screening, interview scheduling, payroll processing, and workforce planning. In addition, AI-based tools can analyse large volumes of applicant and employee data quickly, enabling faster recruitment decisions and more accurate matching of candidates to job roles. In the hospitality sector, where high staff turnover and seasonal demand are common, predictive analytics also helps managers forecast staffing needs more effectively. Overall, AI enhances efficiency by reducing administrative workload, speeding up decision-making, and allowing HR professionals to focus more on strategic and employee-centered activities.
DeleteThis is insightful but why is human oversight important when using AI in HR decisions such as recruitment and promotion?
ReplyDeleteThank you for your question. Human oversight is important because AI may not fully capture human qualities like empathy, communication skills, and cultural fit, and it can also reflect bias from historical data. In HR decisions such as recruitment and promotion, human judgment ensures fairness, ethical decision-making, and proper interpretation of AI outputs, especially in people-focused industries like hospitality.
DeleteSandeepa, this is an insightful piece that effectively bridges theoretical frameworks with the practical realities of Sri Lankan hospitality environment. and I particularly liked and agree with your observation, “When used as a support tool rather than a replacement for human judgment, AI can create value."
ReplyDeleteThank you for your valuable feedback!
DeleteThis is a very interesting and clear explanation of AI in HR. While AI improves efficiency, I think too much reliance on it can reduce fairness and the human touch. Do you think AI can work effectively without strong human involvement?
ReplyDeleteThank you for your question.
DeleteI don’t think AI can work effectively in HR without strong human involvement, especially in a sector like hospitality. AI is very effective at handling large-scale data processing, screening, and pattern identification, but it lacks contextual understanding, empathy, and ethical judgment.
Human involvement is essential to interpret AI outputs, correct potential bias, and ensure decisions align with organizational values and fairness. So, rather than replacing human judgment, AI works best when it supports and enhances it.
Fantastic post about AI in HRM. Workforce management in construction has a long way to go before AI starts playing a significant role. Currently, safety management, competency validation and on-site supervision are entirely human endeavors. In your opinion, is a complete re-engineering of AI-driven HR tools necessary to be effectively utilized in high risk environments and on-site applications?
ReplyDeleteThank you for this question.
DeleteIn high-risk environments like construction and similarly in parts of hospitality operations that involve real-time human interaction a complete re-engineering of AI-driven HR tools is not necessarily required, but significant adaptation is essential.
Most current AI systems are designed for office-based HR functions such as recruitment, analytics, and scheduling. To be effective in on-site or high-risk settings, they need to be redesigned to priorities safety compliance, real-time risk detection, and context-aware decision support rather than purely administrative efficiency.
However, even with such adaptations, human oversight will remain critical. AI can support monitoring and prediction, but final decisions in safety-sensitive environments must stay with trained professionals who can interpret context and act responsibly.
From automating recruitment processes to improving employee engagement and performance tracking, AI can make HR functions more efficient and data-driven. However, it is also important to balance technology with the human touch, especially in hospitality where personal interaction is key to guest experience.
ReplyDeleteOverall, the blog highlights a forward-looking approach—showing that AI is not replacing HR professionals, but rather empowering them to make smarter and faster decisions
Thank you for your thoughtful reflection.
DeleteI agree with your point that AI is best understood as an enabler rather than a replacement in HRM. Its ability to improve efficiency and support data-driven decisions is valuable, but in hospitality, the human element remains central to both employee management and guest experience.
This is a remarkably well-balanced perspective on a topic that is often approached with either blind enthusiasm or unwarranted skepticism. The emphasis on fairness, transparency, and human oversight reflects a mature understanding of how AI should genuinely serve organizations rather than simply impress them. In Sri Lanka's hospitality sector, where employee relationships and cultural sensitivity are at the heart of service excellence, this kind of thoughtful, people-first approach to AI adoption is not just admirable but necessary. If more HR professionals embraced this balanced mindset, the integration of AI into workforce management would be far more ethical, effective, and sustainable.
ReplyDeleteThank you for this thoughtful and generous reflection.
DeleteI appreciate your point about the need for a balanced, people-first approach, especially in Sri Lanka’s hospitality context where service quality is deeply rooted in human interaction and cultural sensitivity. I also agree that fairness, transparency, and human oversight are not optional considerations, but essential principles for ethical and sustainable AI adoption in HRM.
This is an insightful analysis of AI in hospitality HR. I would argue that while AI improves efficiency, HR professionals must integrate human judgment and fairness into AI-driven processes. Applying frameworks like the Technology Acceptance Model ensures tools are adopted effectively, while Equity Theory highlights the importance of transparency and perceived fairness to maintain employee trust and engagement.
ReplyDeleteThank you for your thoughtful comment.
DeleteThis is a strong, well-balanced analysis you’ve managed to keep both the efficiency promise of AI and the fairness concerns in view without leaning too heavily on either side. The link between TAM and real hospitality pressures in Sri Lanka makes the argument feel grounded rather than purely theoretical.
ReplyDeleteOne thing that stands out: even if AI improves speed and consistency in hiring, how do we ensure employees actually trust decisions that they can’t fully see or question?
Feels like in hospitality especially, trust might matter just as much as accuracy.
This analysis of Artificial Intelligence in HRM within the Sri Lankan hospitality sector effectively highlights the critical tension between operational efficiency and ethical fairness. The application of the Technology Acceptance Model (TAM) is particularly insightful, as it underscores that the success of AI tools depends not just on their technical utility but on how well they are accepted by a workforce that values human-centric service. Furthermore, your use of Equity Theory provides a strong argument for transparency; if AI-driven decisions are perceived as "black box" processes, they risk undermining employee trust and engagement. To remain competitive yet ethical, organizations must ensure that predictive analytics and automated screening are balanced with human oversight to mitigate bias and maintain the personal touch that defines the hospitality industry.
ReplyDeleteAI technology increases hospitality HRM operational speed and efficiency. The system needs continuous monitoring to prevent unintentional bias from its operation. The system needs human supervision to establish fairness standards and protect employee rights.
ReplyDeleteAI in the hospitality sector can use in an HR perspective. Are there any other ways in which AI can be used in this sector?
ReplyDelete