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Patient-centred strategies should be applied in health-care facilities management (HcFM) to guarantee service quality to meet patients’ needs and ensure quality patient health-care experience. This paper aims to examine the intervening influence of the quality of health-care administrative process (QAP) on the association between health-care facilities service quality and patients’ experiences with medical care.

A quantitative technique was used for this cross-sectional study in three Ghanaian teaching hospitals. A total of 622 relevant questionnaires were used for the analysis of the study using SEM-PLS.

The intervening influence of the QAP on the relationship between HcFM service quality (empathy and tangibility) and patients’ health-care experience (PHcE) were reinforced whilst that of reliability, responsiveness and assurance were not reinforced. The association between the QAP and PHcE was also established.

A high-quality health-care workforce (both core and supporting) and quality work environment provided by the FM department and QAP are essential during quality-of-care delivery, to reduce threats to patient safety to achieve exceptional PHcE. The constraint on the study is that information was gathered from only Ghana. Hence, the generalisation of the findings will be a challenge. Thus, in future, it is proposed that a comparative study across a developed country and a developing country can be conducted. Future research can assess the influence of the health-care internal appearance on patients’ satisfaction.

Practically, the administrative system can be improved by reducing patients overall waiting time. Steps must also be taken to reduce the problem of needless administrative tasks and practices to simplify administrative practices and improve patients’ total health-care experience (core health-care delivery and HcFM), as this influence patients’ total health-care experience.

To the best of the authors’ knowledge, this empirical validation is one of the initial studies in service quality and FM to examine how health-care administrative process quality affects the relationship between FM service quality and patients’ experiences with medical care. This framework can be adapted for research in different countries to extend knowledge.

This study aims to assess the facilities management (FM) strategies used in multi-tenanted purpose-built office buildings (Mt-POBs) in Ghana and the drivers that influence the decision to use such strategies.

This study was conducted via a survey and key informant interviews. The survey was conducted using a questionnaire targeted at 65 multi-tenanted office building owners in the Greater Accra region. The data from the survey revealed the views of building owners on FM strategy and the extent to which 20 facility management decision drivers influenced their decisions to use a particular strategy and the responses were descriptively analysed. The key informant interviews were conducted among six leaders of the property owners’ association who use in-house FM to further understand their perspectives and decisions on using such strategy. The interviews were conducted over telephone using an interview guide and analysed using thematic analysis.

The results showed that 88% of Mt-POBs in Ghana are managed in-house. The results also showed that the decision to use the in-house strategy was driven by the innovative, strategic and cost-saving advantages associated with the in-house strategy.

This study shows the factors that drive the decision of multi-tenanted office building owners in Ghana to use the in-house strategy. The findings of this study will be useful for prospective owners of office buildings in Ghana.

The main aim of this paper is to describe the potential benefits of enterprise building information models (EBIMs) for health-care institutions. The main research question addressed is how data from EBIM could be leveraged to create value for hospitals beyond design, construction and traditional facility management.

Three different prototypes, which use different technologies in combination with EBIM, are described to illustrate different uses of EBIM within the context of a hospital and health-care operations. The case study approach has been used to present the prototypes.

EBIM data, in combination with other data sources, increases the potential benefits of the data with respect to many health-care-related processes, during the operation of a health-care institution. The benefits of EBIM span beyond the design and construction life cycle phases of a hospital and provide value to a variety of stakeholders in multiple health-care-related processes.

The main limitation of this work is the limited sources of data and information such as the specific methods that were used in the design and development of each of the prototypes and a deeper insight into the design rationale and decisions. Another limitation of this paper is that the findings have not been validated.

This study demonstrates the value of convergence of a number of technologies such as EBIM, data and different types of technologies, throughout the life cycle of a building. This study also highlights the value of building information models (BIMs) data for supporting the design of novel educational and other types of application areas. The practical implications include the value for multiple stakeholders, such as resources planning, fleet and equipment management and contract negotiation. Benefits identified for resource planning can have strategic and financial implications at the management level. For patients, visitors and health-care personnel, there may be reduced infections, cleaner and pleasant facilities as well as a reduction of time to find relevant resources.

Social implications" could be replaced by "For patients, visitors and health-care personnel, there may be cleaner and pleasant facilities and easy navigation support through the hospital. Furthermore, enhanced access to knowledge and information about the artefact and assets in the hospital can enhance learning and knowledge sharing.

This study identifies the lack of research in using BIM with other data for value-added services for multiple stakeholders in the operations phase of a hospital and addresses that research gap.

This paper aims to develop predictive methods, based on recurrent neural networks, useful to support facility managers in building maintenance tasks, by collecting information coming from a computerized maintenance management system (CMMS).

This study applies data-driven and text-mining approaches to a CMMS data set comprising more than 14,500 end-users’ requests for corrective maintenance actions, collected over 14 months. Unidirectional long short-term memory (LSTM) and bidirectional LSTM (Bi-LSTM) recurrent neural networks are trained to predict the priority of each maintenance request and the related technical staff assignment. The data set is also used to depict an overview of corrective maintenance needs and related performances and to verify the most relevant elements in the building and how the current facility management (FM) relates to the requests.

The study shows that LSTM and Bi-LSTM recurrent neural networks can properly recognize the words contained in the requests, thus correctly and automatically assigning the priority and predicting the technical staff to assign for each end-user’s maintenance request. The obtained global accuracy is very high, reaching 93.3% for priority identification and 96.7% for technical staff assignment. Results also show the main critical building elements for maintenance requests and the related intervention timings.

This work shows that LSTM and Bi-LSTM recurrent neural networks can automate the assignment process of end-users’ maintenance requests if trained with historical CMMS data. Results are promising; however, the trained LSTM and Bi-LSTM RNN can be applied only to different hospitals adopting similar categorization.

The data-driven and text-mining approaches can be integrated into the CMMS to support corrective maintenance management by facilities management contractors, i.e. to properly and timely identify the actions to be carried out and the technical staff to assign.

The improvement of the maintenance of the health-care system is a key component of improving health service delivery. This work shows how to reduce health-care service interruptions due to maintenance needs through machine learning methods.

This study develops original methods and tools easily integrable into IT workflow systems (i.e. CMMS) in the FM field.

This study aims to ascertain the forms of social enterprises created for public services and the dimensions of community-based management of public facilities. It seeks to understand how community-based facilities management (CbFM) can apply to the management of public services created by social enterprises in developing communities.

The study examines research studies on CbFM through a scoping review of papers published between 1997 and 2022.

The scoping review revealed that there are five dimensions of CbFM for developing communities: CbFM, urban facilities management, sustainable CbFM, urban infrastructure management and management of community hubs. It also revealed that social enterprises have been used to manage services, and for social inclusion, and to increase the efficiency of tangible infrastructure in communities.

The scoping review included literature from 1997 to 2022 to understand the development trends in CbFM in developing communities. It is possible that literature from a broader timeframe could have produced more in-depth understanding of the subject investigated.

The paper articulates a framework of CbFM models for public services in developing communities and developed a database of the relevant studies, which can further guide future researchers, stakeholders and policymakers in this area.

The comprehensive review produced a framework for community management of public services. It also identified that there is a paucity of literature on social infrastructure. It highlighted the need for skillsets to support community-based enterprises. There are limited studies that touch on the development of performance indicators for developing communities.

The purpose of this study is to explore user satisfaction with in-house facility management (FM) services in multi-tenanted office buildings in Accra, Ghana using a post-occupancy evaluation (POE) approach.

The study assessed user satisfaction with FM service quality by using a POE of their perceptions about the attitude and courtesy of the FM personnel, the reliability of the FM services they provide, the responsiveness and the competence of the service providers. The study used walk-throughs and questionnaire surveys as the POE methods. One hundred and twenty-one users from 22 multi-tenanted office buildings, who have actively used the FM services for at least a year, were purposively sampled. The data was collected via a survey using a structured questionnaire. The data was analysed using descriptive statistics and principal component analysis in version 25 of statistical package for the social sciences.

The study revealed that users were dissatisfied with the quality of in-house FM services across all 15 services The results also showed that users’ satisfaction with the services is not affected by the differences in their age, gender, educational level, job role and number of years in the buildings. The results further demonstrated that the most critical factors that resulted in users’ dissatisfaction were electric facilities, building fabric maintenance, emergency coordination, waste management and the decoration of the buildings during festive seasons.

To the best of the authors’ knowledge, the present study based on POE to assess user satisfaction with FM services for multi-tenant office buildings has, presumably, not been tackled before in Ghana. The results of the study are very essential to the owners of the buildings and facility managers in decision-making concerning the delivery of FM services. Building industry-wise, the results demonstrate the need for in-house FM managers in multi-tenanted office buildings in Ghana to adopt FM service delivery methods that increase user satisfaction. The results also call for further research into user satisfaction with outsourced FM services in multi-tenanted office buildings and further research on the use of the in-house strategy on other types of buildings to ascertain whether the dissatisfaction with FM is due to other factors such as the choice of FM strategy, the property type etc.

The aim of this paper was to study current practices in FM work order processing to support and improve decision-making. Processing and prioritizing work orders constitute a critical part of facilities and maintenance management practices given the large amount of work orders submitted daily. User-driven approaches (UDAs) are currently more prevalent for processing and prioritizing work orders but have challenges including inconsistency and subjectivity. Data-driven approaches can provide an advantage over user-driven ones in work-order processing; however, specific data requirements need to be identified to collect and process the functional data needed while achieving more consistent and accurate results.

This paper presents the findings of an online survey conducted with facility management (FM) experts who are directly or indirectly involved in processing work orders in building maintenance.

The findings reflect the current practices of 71 survey participants on data requirements, criteria selection, rankings, with current shortcomings and challenges in prioritizing work orders. In addition, differences between criteria and their ranking within participants’ experience, facility types and facility sizes are investigated. The findings of the study provide a snapshot of the current practices in FM work order processing, which aids in developing a comprehensive framework to support data-driven decision-making and address the challenges with UDAs.

Although previous studies have explored the use of selected criteria for processing and prioritizing work orders, this paper investigated a comprehensive list of criteria used by various facilities for processing work orders. Furthermore, previous studies are focused on the processing and prioritization stage, whereas this paper explored the data collected following the completion of the maintenance tasks and the benefits it can provide for processing future work orders. In addition, previous studies have focused on one specific stage of work order processing, whereas this paper investigated the common data between different stages of work order processing for enhanced FM.

The quest for improved facilities management (FM) delivery is receiving immense focus through the incorporation of innovative technologies such as cyber-physical systems (CPS). The system’s high computational capabilities can aid in the abatement of some of the challenges plaguing FM functions. However, the requisite ingredients for the uptake of the system for FM have still not gained scholarly attention. Because performance measurement is a vital index in determining the outcome of FM methods, this study aims to investigate the influence of performance measurement indicators that are influential to the uptake of CPS for delivering FM functions.

A qualitative technique was adopted using the Delphi technique. The panel of experts for the study was selected through a well-defined process based on stipulated criteria. The experts gave their opinions in two rounds before consensus was attained on the identified performance measurement indicators, whereas methods of data analysis were measures of central tendency, inter-quartile deviation and Mann–Whitney U test.

Results from this study showed that 11 of the performance indicators were of very high significance in the determination of the uptake of CPS for FM functions, whereas 5 of the indicators were proven to be of high significance. Furthermore, there was no statistical difference in the opinions of the experts based on their affiliation with academic institutions and professional practice.

The findings of this study contribute practically by aiding policymakers, facility managers and relevant stakeholders with the vital knowledge of delivery mandates for efficient FM services that can spur the uptake of digital technologies such as CPS.

This study contributes to the body of knowledge as it unveils a roadmap of the expected performance output and its accompanying evaluation that would drive the adoption of a promising technology such as CPS in the delivery of FM tasks.

This study aims to improve the use of digitalization in facilities management (FM) for shopping complex facilities in the post-COVID-19 era. The resumption of economic activities, especially in shopping complexes, poses challenges for FM with throngs of shoppers. To tackle these challenges, enhanced and innovative FM practices are necessary.

The study used a qualitative research approach, incorporating case studies, interviews, observations and documentation. It focused on super-regional shopping complexes in the Klang Valley, Malaysia, selecting two complexes for qualitative data collection. Supplementary data were gathered from various sources, including government policy publications, websites, books, journal papers and archival records.

The research provides valuable insights into FM innovations and the application of FM digitalization in shopping complexes after the COVID-19 pandemic. It also addresses challenges faced by FM teams during this period. Recommendations for implementing FM digitalization in super-regional shopping complexes post-COVID-19 include developing skilled personnel, defining appropriate work scopes, strategies and policies, using cost-effective software, and increasing occupant awareness. The involvement of outsourced service providers is advised, emphasizing their understanding of the organization’s business model and innovative approaches.

The findings offer new perspectives on the characteristics of FM digitalization in the commercial sector during business disruptions caused by the pandemic. The proposed strategies are grounded in real industry implementations, aiming to enhance the FM digitalization approach for improved business performance.

This paper aims to present an assessment of the challenges of using building information modeling (BIM) in the facilities management (FM) practice in Saudi Arabia.

A review of the relevant literature was conducted, resulting in identifying 31 potential challenges to BIM utilization in FM, which were grouped into five main categories. These challenges were used to design a five-point Likert scale questionnaire survey to obtain the feedback of experts in the FM domain in Saudi Arabia. The professionals that participated in the survey consisted of facilities managers, maintenance managers and BIM experts. The results obtained were analyzed based on the Effect Index (EI) approach. The questionnaire also contained an open-ended section for more qualitative data.

The results of the EI revealed that the top most influential challenges include “integration of the building systems design with BIM”, “definition of handover requirements and integration requirements between FM and BIM” and “getting appropriate and accurate information”. The category with the highest EI was the “challenges pertaining to the execution of BIM in FM”.

The paper outlines the critical challenges influencing the utilization of BIM in FM in Saudi Arabia and, as a result, could facilitate the development of implementation plans for BIM utilization. Thus, the study results have practical implications for stakeholders in the building industry.

The study contributes to the building industry through its discussion of the challenges of BIM utilization in FM and thus has the potential to increase the level of awareness of stakeholders in the industry.