BSpace

The British University in Dubai (BUiD) Digital Repository

Welcome to BSpace, the online institutional repository of the British University in Dubai. BSpace provides access to the Dissertations, Thesis, Research projects, Faculty publications and archives of BUiD.

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Recent Submissions

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    Exploring the Frontiers of Cybersecurity Behavior: ASystematic Review of Studies and Theories
    (2023) Almansoori, Afrah; Al-Emran, Mostafa; Shaalan, Khaled
    Cybersecurity procedures and policies are prevalent countermeasures for protecting organi zations from cybercrimes and security incidents. Without considering human behaviors, implement ing these countermeasures will remain useless. Cybersecurity behavior has gained much attention in recent years. However, a systematic review that provides extensive insights into cybersecurity behavior through different technologies and services and covers various directions in large-scale research remains lacking. Therefore, this study retrieved and analyzed 2210 articles published on cybersecurity behavior. The retrieved articles were then thoroughly examined to meet the inclusion and exclusion criteria, in which 39 studies published between 2012 and 2021 were ultimately picked for further in-depth analysis. The main findings showed that the protection motivation theory (PMT) dominated the list of theories and models examining cybersecurity behavior. Cybersecurity behavior and intention behavior counted for the highest purpose for most studies, with fewer studies focusing on cybersecurity awareness and compliance behavior. Most examined studies were conducted in individualistic contexts with limited exposure to collectivistic societies. A total of 56% of the analyzed studies focused on the organizational level, indicating that the individual level is still in its infancy stage. To address the research gaps in cybersecurity behavior at the individual level, this review proposes a number of research agendas that can be considered in future research. This review is believed to improve our understanding by revealing the full potential of cybersecurity behavior and opening the door for further research opportunities.
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    Exploring the Effects of Consumers Trust: A Predictive Model for Satisfying Buyers Expectations Based on Sellers Behavior in the Marketplace
    (2019) S. ALSHEIKH, SINAN; SHAALAN, KHALED; MEZIANE, FARID
    Inrecent years, consumer-to-consumer (C2C) marketplaces have become very popular among Internet users. However, compared to the traditional business-to-consumer (B2C) stores, most modern C2C marketplaces are reported to be associated with stronger negative sentiments among consumers. These negative sentiments arise from the inability of sellers to meet certain buyers expectations and are linked to the low trust relationship among sellers and buyers in C2C marketplaces. The growth of these negative emotions might jeopardize buyers decisions to opt for C2C marketplaces in their future purchase intentions. In the present study, we extendthede nition oftrust as an emotiontocoverthedigital worldanddemonstrate the trust model currently used by most online stores. Based on the buyers behavior in the C2C marketplace, we propose a conceptual framework to predict trust between the buyer and the seller. Given that the C2C marketplaces are rich sources of data for trust mining and sentiment analysis, we perform text mining on Airbnb to predict the trust level in host descriptions of offered facilities. The data are acquired from the US city of Ashville, Alabama, and Manchester in the U.K. The results of the analysis demonstrate that the guest negative feedbacks in reviews are high when the description of the hosts property has the emotion of joy only. By contrast, the guest negative sentiments in reviews are at a minimum when the hosts sentiment has mixed emotions (e.g., joy and fear).
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    Understanding an Extension Technology Acceptance Model of Google Translation: A Multi-Cultural Study in United Arab Emirates
    (2020) Saeed Al-Maroof, Rana; A. Salloum, Said; Qasim Mohammad AlHamadand, Ahmad; Shaalan, Khaled
    The importance of using Google Translate (GT) has become dominantly more effective. Most researchers, professors, and students rely on its translation as an immediate source of getting information in different coun tries all over the world. However, previous studies failed to cover these influen tial factors that pinpoint the relation between GT and user's intention, and con sequently fail to discover the effects of using GT. The purpose of this study is to explore GT acceptance in United Arab Emirates (UAE). It is assumed that us ers' attitude towards GT may vary based on the language used. The variations in languages are unidirectional where at least two languages are involved in this process. The suggested analytical framework is based on an extended TAM model. A quantitative methodology approach was adopted in this study. The hypothesized model is validated empirically using the responses received from a survey of 368 respondents, which were analyzed using structural equation modeling (SEM-PLS). Results indicated that Perceived Ease of Use, Perceived Usefulness, and Motivation have a significant impact on Behavioral Intention to use GT. In addition, Perceived Usefulness and Motivation significantly influ enced Perceived Ease of Use. Furthermore, Perceived Usefulness is in turn in fluenced by Experience. The findings provide significant theoretical and practi cal implications for translation researchers, teachers, and machine translation system developers.
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    User Acceptance Level of and Attitudes towards Telemedicine in the United Arab Emirates
    (2021) Abdool, Shaikha; Abdallah, Sherief; Akhlaq, Suhair; Abdul Razzak, Hira
    Objectives: This study aimed to examine acceptance levels of and attitudes towards telemedicine among users in the United Arab Emirates (UAE) and assess associations between perceived usefulness (PU), perceived ease of use (PEOU), attitudes towards use (ATU) and behavioural intention of use (BIU) in relation to telemedicine technology. Methods: This cross-sectional study used a simple random sampling design to obtain an appropriate sample from throughout the UAE. The technology acceptance model (TAM) and Rogers’ diffusion of innovations (DOI) theory were applied as the conceptual basis for this study. An Arabic/English version of the questionnaire was distributed via email to physicians and nurses, members of the public (including patients), healthcare directors and information technology professionals. Data were collected from 1st March to 30th August 2019 and analysed using Statistical Package for the Social Sciences (SPSS). Results: A total of 330 participants were included (response rate: 85.7%). BIU and PU were considered important elements of TAM in the adoption of telemedicine services compared to the other variables. The association between PEOU (beta = 0.033, P = 0.692), PU (beta = 0.034; P = 0.679) and ATU (beta = 0.055; P = 0.421) in relation to telemedicine were positive but not significant. However, BIU was found to be a strong significant predictor of actual usage (beta = 0.224; P = 0.003). Conclusion: This study confirms TAM’s applicability in the adoption of telemedicine services in the UAE. The results show that users’ perceptions were significantly related to their behavioural intention to use telemedicine. Factors influencing telemedicine technology are likely to vary as technology acceptance in other geographical areas may differ from the sample presented here.
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    An Adaptive Wavelet Library to Detect Surface Defects in Rail Tracks Using a Laser Ultrasonic System
    (2020) Rostami, Javad; Masurkar, Faeez; Tse, Peter; Yelve, Nitesh; Z.Y. HOU, Edison
    This study is concerned with locating surface defects that occur in rail tracks. Ultrasonic Rayleigh waves were used to investigate the rail track surface. To generate and sense these waves a fully non-contact laser ultrasonic transduction system was employed. The laser-generated signals are in general more susceptible to environmental noise in comparison with signals generated by other methods. Meanwhile, the quality of signals received from one point may vary in each time of measurement. Continues Wavelet Transform (CWT) is a practical tool in dealing with complicated signals. In this regard, CWT works better if its mother wavelet is carefully selected based on the nature of the analyzing signal. Seeing that, a library of mother wavelets was tailor-made for studying laser-based Rayleigh waves in rail tracks. Mother wavelets were designed based on characteristics of the incident wave packets after extensive measurements on rail tracks. For analyzing a signal, initially, the first biggest wave packet that is the incident wave is recognized. Absolute cross-correlation is then used to pick a mother wavelet from the library that has the maximum re semblance with the incident wave. Using such an approach, the irrelevant wave packets can be easily discarded and surface defects are exposed.