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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66915
Volume:
10 |
8 |
Aug 2026
Pages:
1-11
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Lodging Manager
Aqua Point Hotel Inc, San Diego, USA
Limited-service hotels operate with lean staffing models, narrow departmental structures, and high dependence on rooms revenue. When such properties become underperforming assets, operational problems often compound quickly: weak occupancy reduces cash flow, deferred maintenance damages guest satisfaction, labor inefficiency increases cost per occupied room, and poor online reputation limits pricing power. This paper proposes a 90-day Crisis-to-Stability Hotel Management Model designed for underperforming limited-service hospitality assets. The model emphasizes rapid diagnosis, cash control, labor discipline, guest experience triage, revenue management cleanup, maintenance prioritization, vendor review, accountability systems, and KPI-based performance monitoring. The purpose of the model is not to complete a full repositioning in 90 days, but to restore operational control, create reliable reporting, protect asset value, and establish a disciplined foundation for longer-term recovery. Drawing from hospitality performance metrics, revenue management research, crisis management literature, online reputation studies, and industry reporting, the paper presents a practical framework for hotel owners, operators, asset managers, general managers, and turnaround consultants. The discussion demonstrates that hotel recovery requires simultaneous attention to service, finance, people, systems, brand compliance, and market positioning. The paper concludes with actionable recommendations for implementing a phased 90-day recovery roadmap in distressed or underperforming limited-service hotels.
KEYWORDS
Crisis-to-stability hotel management is a disciplined approach for moving underperforming limited-service hospitality assets from operational disorder to measurable control. The model proposed in this paper recognizes that limited-service hotels are especially sensitive to rooms revenue, labor discipline, maintenance condition, guest reviews, and brand compliance. Because these properties operate with lean teams and limited ancillary revenue, small failures can quickly affect cash flow and asset value. A 90-day recovery model helps underperforming hotels regain control by creating urgency, sequence, and accountability. Days 1–30 establish truth and immediate stabilization. Days 31–60 correct processes, clean up revenue management, and improve service consistency. Days 61–90 optimize performance, formalize accountability systems, and prepare the property for longer-term stabilization. The model does not claim that every distressed hotel can be fully turned around in three months. Rather, it argues that a properly managed 90-day period can stop operational bleeding, improve visibility, protect guest trust, and create the foundation for sustainable recovery. Future hotel recovery work should integrate stronger use of PMS data, revenue tools, digital dashboards, review analytics, and mobile task tracking. However, technology alone cannot stabilize a hotel. The decisive factor remains disciplined execution by owners, general managers, department leaders, and frontline employees. For limited-service properties, recovery is achieved through consistent attention to the basics: clean rooms, sellable inventory, accurate rates, controlled labor, responsive maintenance, guest recovery, and clear reporting. 1. Conduct a 72-hour operational diagnosis before making major capital, staffing, or pricing decisions. 2. Build a daily dashboard that tracks occupancy, ADR, RevPAR, labor hours, cash receipts, out-of-order rooms, guest complaints, and unresolved maintenance. 3. Verify every room’s true sellable condition during the first week and review out-of-order rooms daily. 4. Enforce credit card authorization, cancellation, no-show, direct bill, and refund procedures immediately to reduce revenue leakage. 5. Match labor schedules to occupancy, arrivals, departures, stayovers, and breakfast volume rather than using static schedules. 6. Prioritize maintenance items that directly affect guest satisfaction, safety, revenue recovery, and brand compliance. 7. Review OTA visibility, rate parity, restrictions, rate codes, and closed inventory during the first 30 days. 8. Track online reviews daily and convert recurring complaints into operational action items. 9. Establish short daily stand-up meetings between front desk, housekeeping, maintenance, and management. 10. Hold weekly accountability meetings with ownership or asset management to review KPI movement, risks, and required decisions. 11. Create a vendor and expense review to identify unnecessary costs, duplicate services, poor pricing, or service failures. 12. Separate urgent stabilization needs from long-term capital improvement planning. 13. Use the first 90 days to create documentation that supports future refinancing, sale, rebranding, renovation, or operational restructuring. 14. Treat brand compliance as part of guest experience and asset protection, not merely as an inspection requirement. 15. Maintain the recovery dashboard after Day 90 so that operational discipline becomes a permanent management system rather than a temporary intervention.
[1] CoStar. “Hotel Industry Terms to Know.” CoStar, 2020. URL: https://www.costar.com/article/151293853/hotel-industry-terms-to-know [2] CoStar. “What is Revenue per Available Room (RevPAR)? And How to Calculate It.” CoStar, 2020. URL: https://www.costar.com/en-gb/what-revenue-available-room-revpar-and-how-calculate-it [3] American Hotel & Lodging Association. “65% of Surveyed Hotels Report Staffing Shortages.” AHLA, 2025. URL: https://www.ahla.com/news/65-surveyed-hotels-report-staffing-shortages [4] U.S. Bureau of Labor Statistics. “Leisure and Hospitality: Industries at a Glance.” BLS. URL: https://www.bls.gov/iag/tgs/iag70.htm [5] Kimes, S. E. “The Future of Hotel Revenue Management.” Cornell Hospitality Report, Cornell University School of Hotel Administration, 2010. URL: https://sha.cornell.edu/wp-content/uploads/sites/4/2019/03/sheryl-kimes-future-hotel-revenue-management-2010.pdf [6] Xie, K. L., Zhang, Z., and Zhang, Z. “The Business Value of Online Consumer Reviews and Management Response to Hotel Performance.” International Journal of Hospitality Management, 43, 1–12, 2014. URL: https://doi.org/10.1016/j.ijhm.2014.07.007 [7] Phillips, P., Barnes, S., Zigan, K., and Schegg, R. “Understanding the Impact of Online Reviews on Hotel Performance.” Journal of Travel Research, 56(2), 235–249, 2017. URL: https://doi.org/10.1177/0047287516636481 [8] Casal-Ribeiro, M., Boavida-Portugal, I., Peres, R., and Seabra, C. “Review of Crisis Management Frameworks in Tourism and Hospitality: A Meta-Analysis Approach.” Sustainability, 15(15), 12047, 2023. URL: https://doi.org/10.3390/su151512047 [9] HVS. “Hotel Management: Stabilize Operations, Improve Performance, and Protect Asset Value.” HVS. URL: https://www.hvs.com/services/hotel-management [10] CBRE. “2025 Global Hotel Outlook.” CBRE, 2025. URL: https://www.cbre.com/insights/reports/2025-global-hotel-outlook
Publication Date
8/24/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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