Identifying Key Selection Criteria for Smart Building Technologies in the United Arab Emirates Prisons

Abstract

The selection of an appropriate smart building technology has been a challenge for stakeholders, because no specific selection criteria are currently available. This study aimed to identify the potential selection criteria for the selection of smart building technologies for prison buildings in the United Arab Emirates. A questionnaire survey was conducted to evaluate the relative importance of smart building technologies and the specific selection criteria. 238 experts from the public and the private sector with rich experience in the construction and prison industry participated in the survey. The data obtained were analyzed for descriptive statistics and the Mann-Whitney U test was conducted to compare the responses of the government and private sector respondents. Cronbach’s coefficient was estimated using reliability analysis. Finally, exploratory factor analysis was performed by Principal Axis Factoring (PAF) to extract the contributing factors and was further improved by varimax rotation using SPSS. To evaluate the appropriateness of the factor extraction, the Kaiser-Mayer-Olkin (KMO) measure of sampling accuracy and Barlett’s test of sphericity were conducted. The results demonstrated that most participants thought that the safety and security, anti-hacking capability, high working efficiency, and durability of the new smart building technology were very important. 14 listed selection criteria were extracted into three factors by factor analysis explaining 50.585% total variation. Regarding smart building technologies, fire protection was mostly voted by the participants followed by video surveillance and heat, ventilation, and air-conditioning system (HVAC). This study is a novel research study identifying the key selection criteria for the selection of important smart building technologies and would be helpful for a broad audience.

Smart prison technology and challenges: a systematic literature reviews

“…Prison challenges based on the TOE framework can be seen in Table 4. Facial recognition [21] Smart sensor [10] Fire protection [20], [32] Building automation system (BAS) [10], [32] Heat, ventilation, and air-conditioning system (HVAC) [32] Lighting [20], [32] Vertical transportation system [32] Energy and sustainability system [32] Robot wardens [21] Tracking wristbands [10], [21] Personal communication devices [10], [21] Virtual reality-technology [33] Audio-video system [20], [33]…”

“…Networking [32] Wiring infrastructure [10], [33] Data/database Data sharing with public service institutions [10] Analytics/visualization Phone calls analytics [10] Video analytics [10], [21], [34]- [36] Alert/recommender prison authorities [10], [37], [38] Application/integration E-shopping [20], [33] Advanced IS [10], [21], [33] Healthcare system [10], [24] Smartphone-based applications [6], [23], [27] E-messaging [32] Digital self-service [6], [10], [21] Digital participation [28] Funds transfer [20], [33] Digital devices for rehabilitation [21], [38]- [40] AI-based personal assistant [10] Security and management Building management system (BMS) [32] Video surveillance system [21], [32], [36], [41] Table 4…”

How did online learning impact the academic performance of graduate students amid the Covid-19 pandemic?: A case study of the United Arab Emirates

“…The variables were subjected to Exploratory Factor Analysis (EFA), which extracted latent factors that significantly affected variations among the tested variables (Stapleton, 1997). The KMO measure of sampling accuracy and Bartlett's sphericity test were used to determine the appropriateness for factor extraction (Aldhaheri, Xia & Nepal, 2022). KMO measures the sampling accuracy by looking at the correlation between the observed and the expected values.…”

Unlocking the Potential of Smart Security and Surveillance Technology in Prisons: A Brief Review

“…Aldhaheri and Xia's research [13] highlighted the anticipated hurdles in integrating smart technology within prison infrastructures and underscored the essential considerations prior to adopting intelligent technologies. They reveal that while installing smart technology in prison, the authority should consider its durability, high labor efficiency, safety, and security features [14]. Kaun and Stiernstedt [15] examined the benefits and drawbacks of intelligent technology in prisons.…”