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The UAE is among the fastest-growing facilities management (FM) markets globally. Nevertheless, conclusive evidence on this market is scarce in the literature. Therefore, this paper aims to provide an in-depth insight into the FM market in the UAE.

Fourteen interviewees were purposively selected to provide insight into FM status through their field experiences. A SWOT analysis of their answers held place.

Interviewees revealed that the main trends of FM in the UAE include interests in sustainability, integration of technology, health and safety, outsourcing FM, switching to total facilities management (TFM), and performance management systems use. Besides, the quality of the service in the FM market is driven by the real-estate boom, services sophistication, the increasing awareness of FM and focus on the quality of services. Furthermore, the interviews found that the recruitment of poorly skilled labors can threaten the FM market to meet the allocated budget, misperception of FM, the value of money, the lack of continuous follow-up with recent advancements in technologies and the lack of performance measurement models.

This paper highlights the major trends, drivers and threats of the FM market in the UAE, and the implications of its findings can direct FM organizations and researchers in their practices.

Amidst the complicated nature of the UAE’s facilities management (FM) industry, the need to recalibrate the existing performance measurement (PM) system measures and criteria has been resonating to ensure their ability to capture the FM industry trends and dynamics, thus enhancing organizational excellence. Therefore, this research aimed to propose a specific PM tool to the country’s FM industry to accurately assess performance and establish strategic enhancements.

The study reviewed literature on the available PM systems to gather the available measures, which were presented to a focus group of seven participants, who were purposively selected based on their expertise in FM and PM implementation in the UAE to adjust them and add ones relevant to the UAE’s FM industry.

The focus group conducted various changes, from retaining certain measures and criteria, renaming them to simplify or make them more representative of the industry, ranking them based on their importance to limit their numbers, to finally categorizing them as enablers or results. Consequently, the final proposed tool was composed of nine dimensions with 51 measures as performance enablers and three dimensions with 11 measures as performance results. Seven measures were added by the experts, who highlighted their increasing popularity in the UAE’s FM industry.

Through addressing the critical void in literature, this paper develops a specific PM tool aligning with the intricacy of the UAE’s FM industry, thus providing proactive contribution to the industry’s effective and sustainable growth.

Green retrofitting is acknowledged as an essential strategy toward achieving long-term sustainability in the built environment. To implement this strategy successfully, the role of facility managers cannot be ignored. The purpose of this paper is to investigate present practices that are used in managing the existing facilities, to highlight the elements that govern the process of green retrofitting, and discuss the efforts and contribution of facility managers in enhancing the environmental performance of the existing facilities stock in the United Arab Emirates (UAE).

This study suggests that an adequate level of awareness of the benefits of green retrofit amongst owners and decision-makers is mostly dependent on facilities management (FM) professionals, who must establish effective communication channel with senior management. FM professionals in the UAE are well equipped and competent in greening existing buildings and can simultaneously lead a building to the path of achieving green building certification.

To examine the role of FM in a green retrofit and its current status in the UAE built environment, a two-step qualitative method was adopted. The study started by conducting semi-structured interviews with FM professionals and then assessing the insights obtained from the interviews against an actual case study of a LEED Existing Building certified facility.

Interviews were limited to FM professionals in the private sector and the results from one case study should be considered cautiously.

This paper emphasizes the primordial role of FM professionals in promoting green retrofit in the UAE.

This paper aims to explore how big data analytics (BDA) collected and stored through specific data software [Construction Operations Building Information Exchange [COBie], integrated workplace management systems [IWMS], computer aided facilities management (CAFM), etc.] can play an essential role in improving the performance management system in the facility management (FM) industry. It defines the big data components and explores the benefit of BDA in any business through an extensive literature review and a pilot case study in the UAE.

The research was carried out based on a qualitative approach. It attempts to identify through a case study how the data collected and the technologies that go along with will increase the functionality and the efficiency of the FM services. The research studies the implementation of a big FM organization, hereafter referred as “M” of software that exports the data collected from COBie and the computer aided facilities management (CAFM) system and shapes them into input to improve the performance of the FM service providers. The study includes two components in anticipation of providing a complete picture: first, five semi-structured interviews with industry experts and company employees representing the hierarchy of the staff, i.e. top, middle and operational levels; one director, two managers and two operational-level employees were interviewed to determine the current situation of the company in terms of BDA; and second, detailed documents and archives records review for the data collected on a randomly chosen sample of facilities for the period 2013-2015. The interviews were designed to achieve two specific objectives. Primarily, they were aimed at collecting empirical evidence on the existing status of big data within the UAE FM context and at investigating the importance of the data collected for performance measurement in the industry as supported in the literature. Second, these interviews sought to identify any critical issues that need to be addressed within the data collection process when devising the big data platform for FM.

The paper seeks to provide a guideline to the service providers in the FM market to understand the importance of big data to be shared from the design and construction to the operational phase as it improves their operational performance.

This paper studies the impact of big data on the FM performance management, a very recent topic where only few researches were conducted earlier.

This study aims to analyze the facilities managers’ involvement over the project life cycle phases (PLP), based on theoretical knowledge, consensus from empirical assessment of facilities managers and consultants’ practices.

A literature review was undertaken to determine the different tasks that facilities managers typically handle, identify project phases and their underlying activities in which facilities managers would be involved. This was followed by targeting a group of consultants to build a consensus, upon the identified involvement of facilities managers, over the PLP, while measuring the level of involvement from a representative group of facilities managers in Saudi Arabia. A matching between the perceptions and practice has been performed to serve as recommendations for future research on improving the practice in Saudi Arabia.

The involvement of facilities managers in the PLP is relatively low, according to the consultants’ perceptions. Consultants perceive that facilities managers should be involved in more professional activities, which would ultimately improve projects’ delivery to clients.

The involvement of facilities managers over the PLP ensures effective delivery of projects and reduces the multiplicity of challenges at the operation and maintenance phase. The viewing of facility managers’ involvement adds to the effectiveness of their role within the building industry.

This paper investigates the consultants’ perception of the involvement venues for facility managers to perform activities which are evaluated to be “mandatory,” “advantageous” or “not necessary.” The study reflects the state of facilities management practice, and the consensus of consultants toward the role of the facility managers through the PLP.

The purpose of this paper is to explore and establish key performance indicators that could be considered towards improving the delivery of waste management (WM) services in public hospitals.

An exploratory sequential mixed-methods approach was adopted for this study. This involved two phases of data collection and analysis. Specifically, interviews in selected case studies hospitals and a general questionnaire survey. Partial least squares structural equation modelling was used to model the relationships among the performance variables. An expanded balanced scorecard typology was used to categorize performance variables.

The results demonstrate that quality and internal business strategic indicators have a significant influence on WM performance. By implication, public hospital managers would be well advised to invest resources in improving internal business operations, learning and growths, as well as prioritizing finance in the process of managing healthcare waste.

The developed WM structural model can be used to identify performance indicators that can be incorporated into public hospitals’ WM strategy to improve performance leading to a decent healthcare environment.

The majority of studies have centered on the knowledge and practices of healthcare WM. This study extends the knowledge of healthcare WM literature from the perspective of FM performance measurement. The developed model of the study is invaluable to many developing countries that are faced with the challenge of improving WM practices.

Text classification is a widely accepted and adopted technique in organizations to mine and analyze unstructured and semi-structured data. With advancement of technological computing, deep learning has become more popular among academicians and professionals to perform mining and analytical operations. In this work, the authors study the research carried out in field of text classification using deep learning techniques to identify gaps and opportunities for doing research.

The authors adopted bibliometric-based approach in conjunction with visualization techniques to uncover new insights and findings. The authors collected data of two decades from Scopus global database to perform this study. The authors discuss business applications of deep learning techniques for text classification.

The study provides overview of various publication sources in field of text classification and deep learning together. The study also presents list of prominent authors and their countries working in this field. The authors also presented list of most cited articles based on citations and country of research. Various visualization techniques such as word cloud, network diagram and thematic map were used to identify collaboration network.

The study performed in this paper helped to understand research gaps that is original contribution to body of literature. To best of the authors' knowledge, in-depth study in the field of text classification and deep learning has not been performed in detail. The study provides high value to scholars and professionals by providing them opportunities of research in this area.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.

This research aims to develop sustainable development scores at districts level based on weights of thirteen sub-indicators using a spatial information system.

The empirical study was conducted at seven districts in the state of Terengganu Malaysia. The evaluation was implemented using a spatial information system combined with weights of sub-indicators that were computed from the analytic hierarchy process (AHP) method.

In this study the sub-indicators layers overlaid into one raster layer to produce a sustainability development score from 1 to 3 for every district. The one raster layer shows that Marang district received the highest sustainable development score of 2.284. On the other hand, Kemaman district received the poorest sustainable development score of 1.686.

In this study the weights that obtained from the AHP method are verified and validated using a sensitivity analysis. The scores at districts level perhaps may not be accurate due to difficulties in differentiating the variability of indicators and sub-indicators. These are among the unsettled issues that could be explored as future research direction.

The results would have greatly benefited the policy makers and stakeholders, particularly in planning for future development without compromising the significance of environment, social and economic indicators.

Sustainable development is one of the key elements that needs to be considered seriously in assessing development of a country. The assessment may include proposing indices for environment, social, economic indicators and related sub-indicators of sustainable development. Instead of considering specific indices for indicators, this approach departs more formally from the concept of unweighted indices at country level.