Intelligent Museum Management Systems
Bibliographic Data
| ID | 19490123 |
|---|---|
| Authors | Khriereizhunuo Dzuvichu (0009-0006-4297-0699, Central University of Tamil Nadu), R Vasanthan R Vasanthan, Radhakrishnan Vasanthan (Nagaland University), Vinitha M Vinitha M, Vinitha M (Meenakshi Academy of Higher Education and Research), Sulabha Narendra Patil, Sanket Patil (0000-0003-2708-1739, International Institute of Information Technology), Naman Soni (Noida International University), Shweta Bajaj |
| Year | 2026 |
| Volume | 7 |
| Issue | 1s |
| Pages | 635-645 |
| Publication date | 2026-02-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ShodhKosh: Journal of Visual and Performing Arts (JOURNAL) |
| Journal identifiers | ISSN: 2582-7472 • E-ISSN: 2582-7472 |
| Publisher | Granthaalayah Publications and Printers (PUBLISHER • IN) |
| DOI | 10.29121/shodhkosh.v7.i1s.2026.7124 |
| OpenAlex | W7130662408 |
| Language | EN |
| References cited | 15 |
IMMS is an innovative paradigm in the management, conservation, and mediational experience of cultural heritage organizations. IMMS can help transform museums into adaptable, responsive, knowledge-oriented places through artificial intelligence, Internet of Things, data-driven analytics, and cyber-physical infrastructures. This paper conceptualizes IMMS to be socio-technical ecosystems that integrate digital representations of objects, real time monitoring of visitors and environments and intelligent decision engines used to support curatorial, conservation, and operational processes. The suggested framework presents a multi-layer structure including sensing and data management layers, intelligence, and application layers that allow a smooth interaction between physical assets of the museum and digital twins. Modern AI modules enable visitor-centered services based on behavioral profiling, recommendation of personal exhibitions, and adaptive content based on a person's emotions, which positively affect the level of engagement, inclusivity, and educational outcomes. At the same time, intelligent asset management operations enhance predictive preservation, environmental surveillance, and provenance authentication, which enhance heritage care. The operational intelligence capabilities would streamline the process of attendance forecasting, staffing, energy, and space utilization to achieve sustainability and cost-effectiveness. The study presents representative deployment situations to demonstrate quantifiable changes in the satisfaction of visitors, resource utilization, and decision quality along with practical issues connected to the integration of the data, ethical and institutional preparedness
Cultural heritage · Decision support system · Intelligent environment · Software deployment · Sustainability · 3D Surveying and Cultural Heritage · Conservation Techniques and Studies · Museums and Cultural Heritage
| Citation velocity | historical |
|---|---|
| Highly cited | No |