SACM - Malaysia

Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9660

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A FRAMEWORK FOR BEHAVIORAL INTENTION TO USE SMART HOME TECHNOLOGIES FOR ELDERLY PEOPLE IN SAUDI ARABIA
(Saudi Digital Library, 2023-07-07) Maswadi, Kholoud Ali; Hamid, Suraya; Abdul Ghani, Norjihan
Despite the growing concerns to enhance the standard of living of elderly people globally through the use of smart home technologies (SHTs), many elderly people are not fully keen on using smart home technologies in their daily life. In addition, most studies have focused on the technological aspects of smart homes while giving less attention to the behavioral aspects. Importantly, many contextual and demographic factors have not been investigated such as culture influence and technology awareness to enhance the behavioral intention to use SHTs among the elderly. Based on these research problems, this study has four research objectives. First, it investigates the existing SHTs solutions for elderly people in smart homes. Second, it identifies the factors that affect elderly behavioral intention to use smart home technologies. Third, it also develops a framework that supports elderly behavioral intention to use smart home technologies, and fourth, it validates the proposed smart home technologies framework. The significance of smart home technologies to provide home care for elderly people in a cost-effective manner requires that the research objectives are achieved. The theoretical framework of this thesis rests on the Unified Theory of Acceptance and Use of Technology (UTAUT) model by combining the model traditional factors/variables (performance expectancy, effort expectancy, social influence, and facilitating condition) with the contextual factors (culture influence, technology awareness, region, and education) that affect the elderly people to use smart home technologies. This study uses these contextual factors to advance the UTAUT model from elderly people’s perspective to interpret their theoretical, practical, and managerial significance. Moreover, the study employs the quantitative methodology to survey 486 elderly people in Saudi Arabia. ivThe study applies the Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS software to perform the data analysis. Results reveal that culture influence and technology awareness are significant factors in determining the behavioral intention to use SHTs among elderly people. The findings also show that attitude mediates the relationships between performance expectancy, effort expectancy, and behavioral intention. Also, this study finds that region and education moderate the relationships between culture influence, technology awareness, and behavioral intention. Thus, the study supports five direct hypotheses but unsupported two direct hypotheses. Also, five indirect hypotheses out of six were supported and one unsupported. This study has theoretical implications for the UTAUT theory by extending it using culture influence, technology awareness, attitude, education, and region. The findings of this study also have practical implications for the government. The government may focus its attention and strategies on the provision of SHTs to elderly people as part of the Saudi Vision2030 to ensure human capital development and an improved standard of living. Moreover, stakeholders and policymakers could understand the elements needed to support the long term viability of SHTs among elderly people in Saudi Arabia. Furthermore, this research adds to the body of knowledge on the UTAUT model and SHTs among elderly people by focusing on the crucial factors influencing the elderly’s behavior intention to use SHTs, which would provide a significant direction for future work. In the future, we will carry out a longitudinal study to establish whether determinants of behavioral intention to use SHT are time driven, which will require to be tested on a wider scale and in different geographic regions.
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A FRAMEWORK FOR THE IMPLEMENTATION OF COMPUTER BASED TEST FOR SAUDI ARABIA SECONDARY SCHOOLS
(Saudi Digital Library) YAHYA ABDUH A HAKAMI; Dr. Ab Razak bin Che Hussin
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A MODEL OF RESEARCH ATTITUDE IN UNDER DEVELOPING UNIVERSITIES IN SAUDI ARABIA
(Saudi Digital Library) FAHAD MAHMOUD AWAD GHABBAN; Prof . Dr. Ali Bin Selamat
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A MODEL-BASED DECISION SUPPORT TOOL FOR HOSPITAL QUEUING AND WORKFORCE ANALYSIS USING MONTE CARLO SIMULATION TECHNIQUE
(Saudi Digital Library) NASSER YAHYA ZAID ALQURAISHAH; Assoc. Prof. Dr. Mohd Zakree Ahmad Nazri
ABSTRACT Government hospitals worldwide face rising patient numbers and have started looking into health informatics to improve their services. This dissertation reports the outcome of a project with one of the hospitals in Saudi Arabia on enhancing patients' waiting time by using existing resources more effectively. The scenario begins with the hospital planning to extend the RD's operational time from 8 to 24 hours a day. In this case, without a decision support tool, the capacity of the hospital's radiology department (RD) services could be described as evolved rather than planned. This can be attributed to at least two challenges: varying perspectives regarding patient demand, service time and limited decision support when planning and estimating capacity. Therefore, this project aims to develop a decision support tool that the management can use in making quality decisions. In dealing with these challenges, this study has identified several key performance indicators: patient waiting time, staff overtime, and demand for technician services. This study proposed three models for the decision support tool to assist hospital management when making decisions related to human resources. The first model is a predictive model based on the Support Vector Machine (SVM) to predict the service time. The second model is a prescriptive model for staff planning. The model is proposed to plan the staff schedule automatically. The prescriptive model is developed based on the hospital's human resource policy and queuing theory. The model is processed using the branch and bound algorithm. The output of those models is used in a simulation model. The developed simulation model is the foundation of the spreadsheet-based decision support tool (DST) for planning capacity. The Excel spreadsheet-based DST is the delivery mechanism in understanding the impact of a decision on the overall waiting time. The DST is intended to analyze the effect of altering specific features of the system on the overall waiting time. The proposed model incorporated queuing theory principles and extended the discrete event simulation to account for time-based arrival and service time rates. The prediction model is used to assign patients into rooms. The simulation results determined that the main challenge is inefficient patient management instead of insufficient resources. The number of staff and the simulation results show that it has accurately predicted service time. The strategy of allocating patients to a separate room has lowered the overall median wait time in the RD. The proposed modelling technique and spreadsheet-based DST are easy to distribute and help decision-makers analyze the impact of implementing a fast track or comparable system on patient waiting times.
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A PROPOSAL FOR CORPORATE SOCIAL RESPONSIBILITY INDEX TO ISLAMIC BANKS IN THE KINGDOM OF SAUDI ARABIA
(Saudi Digital Library) ABDULLAH RAJEH ALI ALAMER; Assoc. Prof. Dr. Hussin Bin Salamon
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A SERVICE-TIME PREDICTION MODEL IN SIMULATION OF QUEUING ANALYSIS FOR DECISION SUPPORT IN HEALTHCARE
(Saudi Digital Library) HASHIL ALI HASHIL ALQIRAD; Assoc. Prof. Dr. Mohd Zakree Ahmad Nazri
The Radiology Department of a hospital in Najran city in Saudi Arabia is seeking ways to improve patient experience and use current resources more efficiently as they face growing visits numbers of patients. This study's identified primary key performance indicators are patient’s waiting time and staff’s idle time. The impact on patient waiting time and radiographers' idle time were explored in this study by using data mining techniques to predict the service time. The same simulation technique is used to study the impact of assigning a type of patients to a fast track, or separate unit for low-acuity patients in the Radiology Department using an operational research queue-based Monte Carlo simulation in a spreadsheet-based decision support tool. The model combined the principles of queuing theory. Also, it expanded the discrete event simulation in order to account for patients' arrival time rate and service time. In addition, the Department queue system was designed and analyzed by using the simulation model. The prediction model has been deployed into the decision support tool. Developing this tool aims to analyze the effect of changing particular aspects of the system on the total waiting time. The simulation indicates that the main problem is not the shortage of resources, but it is ineffective queue system management. Simulation results exhibited that the ability to accurately predict the service time and assign patients to a particular type of scanning room like a fast track minimized overall average waiting times 48.6 minutes to 40.4 minutes in the department during operation hours. This modeling approach with a decision support tool could be efficiently distributed and inform healthcare decision-makers of implementing a fast track or comparable system on patients' waiting times.
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A Study of Commercial Arbitral Awards and their Legal Implications in Saudi Arabia
(Saudi Digital Library) BANDAR KHALID SALEEM ALTHUBYANI; Prof. Dr. Mohammad Naqib Ishan Jan
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A STUDY OF EASY MATH APPLICATION TO TEACHING MATHEMATICS IN SAUDI ARABIA PRIMARY SCHOOL
(Saudi Digital Library) MANSWR ALI M AL ASMRI; Dr Hew
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A STUDY ON OPTIMAL CONCENTRATIONS OF ISODIOSPYRIN PUTATIVE INHIBITORY ACTIONS AGAINST EXONIC SPLICING ENHANCERS OF DYSTROPHIN GENE EXON53 SKIPPING IN DUCHENNE MUSCULAR DYSTROPHY
(Saudi Digital Library) HUSSAIN SAAD SAID ALZAHRANI; Assoc.Prof. Muzaimi Mustapha
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A STUDY ON TOOL WEAR VARIATION IN MACHINING PROCESS USING COMPUTER VISION METHOD
(Saudi Digital Library) Osama Ibraheem Abdallah Alsultan; Dr. Nukman Bin Yusoff
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ABSORPTION AND ADSORPTION OF BENZENE, TOLUENE, AND XYLENE FROM WATER USING A HYDROPHOBIC POLYDIMETHYLSILOXANE FOAM
(Universiti Putra Malaysia, 2024-01) Alatawi, Lila; Abdullah, Abdul Halim
Due to untreated wastewater disposal from a growing population and industry, biological and chemical pollutants have accumulated in the environment. Benzene, toluene, and xylene (BTX) are among the most common pollutants in industrial wastewater. Due to their toxic and carcinogenic nature, BTX-containing industrial wastewater requires proper treatment prior to discharge to open water. The low adsorption capacity and low recyclability of the current sorbents have motivated the search for more efficient sorbent for BTX removal. In this study, polydimethylsiloxane (PDMS) foam was prepared and used to remove BTX from water. A facile and green synthesis was developed for the preparation of PDMS foam. Using the gas foaming method, PDMS was polymerized with the addition of NaHCO3 as a blowing agent and acetic acid as the catalyst. The prepared PDMS foams were characterised by their density, morphology (FESEM), hydrophobicity (water contact angle), and mechanical properties. By changing the NaHCO3: acetic acid ratios and the curing temperature, foams with varying properties were obtained. The PDMS foam produced at a 1: 2 NaHCO3: acetic acid ratio and cured at 100°C (1:2(100) foam) has the highest hydrophobicity of all the PDMS foams. All PDMS foams can be compressed to a maximum strain of 95% and retained their original size, showing excellent mechanical properties. With increasing curing temperatures, the porosity of the foams increases while their density, elastic modulus, and compressive strength decrease. However, the PDMS characteristics does not depend on the NaHCO3: acetic acid ratio, as no clear trend in feature change is observed with the changing of the NaHCO3: acetic acid ratio. The potential of the synthesised PDMS foams as sorbents to remove BTX from water was evaluated. The absorption of BTX by PDMS foams was studied at high BTX concentrations (higher than the solubility of BTX compounds in water). In contrast, the adsorption study was applied to remove low- concentration BTX when these organic compounds are dissolved in water. In the absorption method, the 1:2(100) PDMS foam exhibited the highest absorption capacity with 7.5 g/g, with 95% uptake occurring within the first minute, attributed to its higher hydrophobicity and medium porosity. The absorption capacity of PDMS foam followed the order: X>T>B. The PDMS foam retained its high absorption capacity for B, T, and X even after 10 absorption-desorption cycles, indicating its excellent stability and reusability. For the adsorption study, batch experiments were carried out for B, T, and X uptake from aqueous solution onto PDMS foam in mono-component systems at varied operating conditions. 1:2(100) PDMS foam was found to have the highest adsorption capacity with 4.2 mg/g at 50 mg/L of benzene concentration. BTX adsorption also increased with increasing concentration. The adsorption data were well-fitted with Freundlich isotherms and a pseudo-second-order kinetic model. Theadsorption capacityof PDMS foam followed the order X>T>B. Based on experimental findings, PDMS foam is a promising sorbent with high stability and reusability for BTX removal from water.
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ACADEMIC USE OF WHATSAPP, LEARNING GAINS AND PERCEIVED ACADEMIC PERFORMANCE AMONG IIUM UNDERGRADUATE STUDENTS: A DESCRIPTIVE STUDY
(Saudi Digital Library) HANADI HAMAD A ALHUZEM; Assoc.Prof.Dr.Tunku Badaariah Tunku Ahmad
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AIR SHAFTS AND THERMAL PERFORMANCE IN RESIDENTIAL BUILDINGS UNDER HOT-ARID CLIMATE ZONE IN SAUDI ARABI
(University Technology Malaysia, 2024-02-06) Mohammed, Alzahrani; Abdul Majid, Roshida
The significant rise of housing projects in Saudi Arabia, particularly apartment buildings, leads to energy consumption. Residential buildings consume 51% of the electricity in the building sector, and air conditioning represents 70% of the total national electrical demand. Alternatively, using natural ventilation in buildings improves thermal performance and reduces energy consumption. One of the effective strategies to increase natural ventilation in buildings is the use of air shafts. The function of the air shaft is to provide daylight and fresh air into the buildings; however, recently, it has been used to install outdoor air conditioning units and plumbing pipes. As a result, the air shafts became a source of heat in the middle of the building, causing increased air temperatures in the rooms adjacent to it. This also leads to the poor thermal performance of the building and results in higher energy consumption for cooling. This research investigates the possibility of improving thermal performance in apartment buildings by optimizing the air shaft design in a hot-dry climate. Field measurements were carried out by using data loggers on an existing low-rise (threestories) apartment building for one year to assess the current thermal performance of the apartment building with an air shaft. The measurements included the external and internal environments by measuring the air temperature and relative humidity of the three levels of the air shaft and the connected rooms. The field measurements showed a significant difference in air temperatures between the outdoor and air shaft. The maximum, minimum, and average air temperatures for the hot, cold, and normal months were higher than the average outdoor air temperatures. The difference in air temperature was not constant for the connected rooms, but it was generally higher in the third level than in the first and second levels. The field measurements proved a need to improve the thermal performance of the air shaft and connected rooms. The collected data from the field measurements were used as reference points to build the base model. The validation of the base model and different proposed models have been done using the building performance simulation tool, which is DesignBuilder. Systematic methods were employed to develop air shaft design models based on the most effective air shaft design parameters based on air shaft envelope and configuration. The design parameters included the following factors: window glazing type, window-to-wall ratio (WWR), thermal insulation thickness in the wall, air shaft length and width, and air shaft floor design. The optimum air shaft model is 9m high, 2m in length, and 2m wide, with six windows with WWR of 30%, double glazing type with solar heat gain coefficient (SHGC) value of 0.568, and a U-value of 1.761, thermal insulation thickness in the wall is 10 cm. The optimum model reduced the total cooling loads yearly by 16.94% compared to the base model. In conclusion, the research findings found that the proposed optimum design model of the air shaft could enhance thermal performance and reduce energy consumption in buildings in a hotdry climate in Makkah, Saudi Arabia.
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Alignment of Information Technology Strategy and Business Strategy: A Study on its influence on the Business Performance of Saudi Arabia Industrial Small and Medium Enterprises
(Saudi Digital Library) MAJED MOHAMMED A ALYAHYA; Professor. Dr. Mohd Adam Suhaimi
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ALPHA PREFORMATION PROBABILITY FOR EVEN-EVEN ALPHA-DECAY SUPERHEAVY NUCLEI WITH Z=108-118 USING CLUSTER FORMATION MODEL
(Saudi Digital Library) NORAH AHMED M ALSAIF; SHAHIDAN RADIMAN AND SAAD MOHAMMED SALEH AHMED
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AN ASSESSMENT OF HEALTHCARE WASTE MANAGEMENT PRACTICES IN MADINAH PRIMARY HEALTH CARE CENTERS
(Saudi Digital Library) TALAAT HASSAN MOHAMMAD HABEEB; Prof. Dato Dr. Shaharuddin Ahmad
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AN EFFECTIVE MODEL TO MEASURE STUDENTS’ AWARENESS FOR NON-TECHNICAL ASPECTS OF INFORMATION ASSURANCE
(Saudi Digital Library) Sultan FaithAllah M BinKhadra; Dr. MOHD SHAHIDAN BIN ABDULLAH
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AN EMPIRICAL STUDY FOR THE ROLE OF THE MORTGAGE IN THE HOUSE PRICES, REAL ESTATE MARKET AND ECONOMIC GROWTH
(Saudi Digital Library, 2023-12-01) Ajeeb, Samar Kamil; Wei Sieng, Lai
In recent years, many countries have shown interest in searching for non-oil sources of income. One of these sources is the bank credit. Bank credit is important to economic growth due to new globalization trends. Saudi Arabia is one of the countries to embark on bank credit. In its Vision 2030, the Kingdom of Saudi Arabia has shifted fundamentally in aligning its interests in non-oil production to promote sustainable development in all sectors. One of the most important tributaries of this production is the real estate market. In 2012, the Saudi Arabian government officially introduced the mortgage system as a new tool to promote economic growth. Therefore, this study focuses on Saudi Arabia as a special case to analyze the impact of mortgages on house prices and its role in solving the problem of continuous high-price houses in Saudi Arabia by using Autoregressive distributed lag model (ARDL) regression using quarterly data from 2005 to 2019. Another purpose of this research is to analyze the impact of mortgages on the growth of the real estate market in Saudi Arabia. For this purpose, Fully Modified Ordinary Least Squares (FMOLS) estimator and annual data from 1970 and 2019 are employed. Finally, this study aims to determine the extent of mortgage involvement in increasing the economic growth rate in oil-producing countries. The Generalized Method of Moments (GMM) is used to analyze panel data of 46 oil-producing countries including Saudi Arabia from 2005 to 2019. The data was collected from numerous sources, such as the General Authority for Statistics (GASTAT), The Saudi Central Bank (SAMA), the World Bank, and the IMF. The outcomes revealed the following: 1) Mortgage has a significant positive impact on house prices in the short and long terms. Furthermore, Saudi employment has a significant positive effect on the prices of houses. However, the opposite result is for CPI, which significantly negatively impacts house prices; 2) there is a positive relationship between mortgages and Saudi’s real estate GDP in the short and the long run. Moreover, employment and investment positively impact GDP in the short and long run; and 3) Mortgage negatively impacts economic growth, while investment and CPI positively impact economic growth. This study fills the existing gaps by investigating the housing problem in Saudi Arabia and the effect of the mortgage system on oil-producing countries by analyzing variables that are directly and indirectly related to mortgages. Future studies may consider using other variables to examine their impact on the real estate market and economic growth if it is related to any other variables in direct or indirect ways.
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AN ENHANCED APPROACH FOR RECORD DUPLICATION DEDUCTION WITH A-TREE AND NON-TRANSPOSITION JARO-WINKLER
(Saudi Digital Library) SALEH REHIEL A ALENAZI; Assoc. Prof. Dr. Kamsuriah Ahmad
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AN EVALUATION OF THE FOURTH GRADE STUDENTS’ ENGLISH LANGUAGE CURRICULUM IN SAUDI ARABI
(Saudi Digital Library) SULTAN FAHD HUNAITHEL ALJUHAISH; Che Noraini Hashim
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