Conceptualizing a Smart Maintenance Maturity Model for Commercial Facilities in Emerging Markets
Asian Journal of Advanced Research and Reports · pp. 196–211 · Published 23 Apr 2026
10.9734/ajarr/2026/v20i41340Abstract
Maintenance management in commercial buildings has evolved from a repair after failure approach to a proactive, tech-enabled strategy. Yet in emerging markets, practices often stay stuck in reactive mode, hampered by an infrastructure gap and institutional hurdles. This study bridges that divide by introducing the Smart Maintenance Maturity Model (SMMM), custom-built for commercial facilities in developing economies. Using a design science approach, maintenance literature was considered, smart technology like Internet of Things (IoT), Artificial Intelligence (AI), and Building Information Modelling (BIM), plus established maturity models. Thematic analysis uncovers core capability areas such as technology adoption, data and analytics capability, human capital and skills, process integration, strategic alignment, and governance and risk management, which were organised into clear maturity stages, from a basic reactive approach to advanced predictive and prescriptive strategies. Tailored to real-world challenges in emerging economies like power instability, infrastructural deficiencies, and skill shortages, the SMMM model is practical and ready to scale. It advances theory by adapting maturity models to emerging-market facility management and hands practitioners a roadmap to evaluate, compare, and upgrade their operations toward smarter, more sustainable maintenance.
References (27)
- 1 A systematic literature review of machine learning methods applied to predictive maintenance [DOI]
- 2 Predictive maintenance in the Industry 4.0: A systematic literature review [DOI]
- 3 A review on condition-based maintenance optimization models for stochastically deteriorating system [DOI]
- 4 Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks [DOI]
- 5 The maturity of maturity model research: A systematic mapping study [DOI]
- 6 Trust in AI: progress, challenges, and future directions [DOI]
- 7 Maturity Models for Information Systems - A State of the Art [DOI]
- 8 Smart Maintenance: an empirically grounded conceptualization [DOI]
- 9 Performance measurement and management for maintenance: a literature review [DOI]
- 10 Empirical analysis of maintenance performance measurement in Belgian industries [DOI]
- 11 Strategic alignment and its impact on decision effectiveness: a comprehensive model [DOI]
- 12 Taxonomy for BIM and Asset Management Semantic Interoperability [DOI]
- 13 Condition-based maintenance implementation: a literature review [DOI]
- 14 PREDICTIVE MAINTENANCE IN INDUSTRIAL AUTOMATION: A SYSTEMATIC REVIEW OF IOT SENSOR TECHNOLOGIES AND AI ALGORITHMS [DOI]
- 15 Benefits of adopting smart building technologies in building construction of developing countries: review of literature [DOI]
- 16 Trends and Recommendations for Enhancing Maturity Models in Supply Chain Management and Logistics [DOI]
- 17 The Present and Future of Smart Construction Technologies [DOI]
- 18 The development of facilities management-development process (FM-DP) integration framework [DOI]
- 19 Service operations management as a conceptual framework for facility management [DOI]
- 20 Benchmarking challenges in facilities management in Nigeria [DOI]
- 21 Challenges under Collapse of Building in Nigeria and Way to Improve It [DOI]
- 22 FACILITIES MANAGEMENT OUTSOURCING: THEORETICAL TRENDS AND EVIDENCE FROM PRACTICE IN NIGERIA AND UNITED KINGDOM [DOI]
- 23 A Conceptual Framework for Knowledge Management Implementation in Organizations [DOI]
- 24 Identifying challenges to smart buildings adoption in developing countries. The case of the Algerian context [DOI]
- 25 Engineering and managing prescriptive maintenance [DOI]
- 26 Unveiling the Imperatives: Drivers for Incorporating Smart Building Technologies in the Construction Sector in Nigeria [DOI]
- 27 Globalization and Information Management Strategy [DOI]
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