Small and medium-sized enterprises (SMEs) have played an essential role in contributing to national income, productivity and employment. Therefore, this research aims to study the importance of computerised accounting information systems for Saudi SMEs and the impact of such systems on financial performance. A survey was developed and sent to 197 Saudi SMEs that had adopted one of the computerised accounting information systems. Around 118 valid responses were received. The data was analysed, and the results indicated the impact of using computerised accounting information systems at both individual and organisational levels. The study indicated that the users were satisfied with the systems. The study also found a positive effect of computerised accounting information systems on Saudi SMEs' financial performance. In addition, the study showed no difference in the impact between a small and medium entity. To conclude, the study recommends that Saudi SMEs adopt one of the computerised accounting information systems because of their impact on the organisation’s performance. KEYWORDS Company profitability, electronic system, financial statement, organisation performance, systems maturity, user satisfaction
{"title":"The Impact of Computerised Accounting Information Systems on Financial Performance: The Saudi Context","authors":"Hani Alshaiti","doi":"10.37575/h/mng/220053","DOIUrl":"https://doi.org/10.37575/h/mng/220053","url":null,"abstract":"Small and medium-sized enterprises (SMEs) have played an essential role in contributing to national income, productivity and employment. Therefore, this research aims to study the importance of computerised accounting information systems for Saudi SMEs and the impact of such systems on financial performance. A survey was developed and sent to 197 Saudi SMEs that had adopted one of the computerised accounting information systems. Around 118 valid responses were received. The data was analysed, and the results indicated the impact of using computerised accounting information systems at both individual and organisational levels. The study indicated that the users were satisfied with the systems. The study also found a positive effect of computerised accounting information systems on Saudi SMEs' financial performance. In addition, the study showed no difference in the impact between a small and medium entity. To conclude, the study recommends that Saudi SMEs adopt one of the computerised accounting information systems because of their impact on the organisation’s performance. KEYWORDS Company profitability, electronic system, financial statement, organisation performance, systems maturity, user satisfaction","PeriodicalId":39024,"journal":{"name":"Scientific Journal of King Faisal University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76555347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aimed to explore the effectiveness of using the Simulation-Supported Dual Situated Learning Model (Sim-DSLM) to correct students’ misconceptions, retention, and enhancement of reasoning skills. To address this objective, a quantitative, experimental approach with pre- and post-learning tests was employed. The researcher developed two tests: (1) a physics misconceptions test and (2) a reasoning thinking skills test, which were both checked for validity and reliability. The tests were administered twice, before and after lessons were taught, to 57 participants recruited randomly from the seventh grade in Mecca, Saudi Arabia. The experimental group (30) was taught using the Sim-DSLM and the control group (27) was taught according to the traditional lecture method. The results from both the physics misconceptions test and the reasoning thinking skills test showed that the experimental group statistically scored higher than the control group in the post-learning test. The effective values of using Sim-DSLM to correct students’ misconceptions, retention, and enhancement of reasoning thinking skills were high. The researcher recommends that teachers should be trained to uncover and remediate the misconceptions that students have using strategies such as the Sim-DSLM. KEYWORDS DSLM, scientific concepts, simulations, conceptual change, scientific concepts, thinking skills
{"title":"Correcting Misconceptions and Enhancement of Reasoning Skills: Simulation-Supported Dual Situated Learning Model","authors":"Adel Althubyani","doi":"10.37575/h/edu/220051","DOIUrl":"https://doi.org/10.37575/h/edu/220051","url":null,"abstract":"This study aimed to explore the effectiveness of using the Simulation-Supported Dual Situated Learning Model (Sim-DSLM) to correct students’ misconceptions, retention, and enhancement of reasoning skills. To address this objective, a quantitative, experimental approach with pre- and post-learning tests was employed. The researcher developed two tests: (1) a physics misconceptions test and (2) a reasoning thinking skills test, which were both checked for validity and reliability. The tests were administered twice, before and after lessons were taught, to 57 participants recruited randomly from the seventh grade in Mecca, Saudi Arabia. The experimental group (30) was taught using the Sim-DSLM and the control group (27) was taught according to the traditional lecture method. The results from both the physics misconceptions test and the reasoning thinking skills test showed that the experimental group statistically scored higher than the control group in the post-learning test. The effective values of using Sim-DSLM to correct students’ misconceptions, retention, and enhancement of reasoning thinking skills were high. The researcher recommends that teachers should be trained to uncover and remediate the misconceptions that students have using strategies such as the Sim-DSLM. KEYWORDS DSLM, scientific concepts, simulations, conceptual change, scientific concepts, thinking skills","PeriodicalId":39024,"journal":{"name":"Scientific Journal of King Faisal University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83260620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Umar Omesa, I. Sulaiman, Waziri Yusuf, Basim A. Hassan, Aliyu Moyi, Ayu Abdul-Rahman, M. Mamat
This paper presents an iterative algorithm for solving intuitionistic fuzzy nonlinear equations (IFNEs). The proposed method is based on the classical conjugate gradient (CG) search direction. An interesting feature of the new algorithm is that it considers problems based on the special triangular intuitionistic fuzzy number. For this purpose, intuitionistic fuzzy quantities are transformed into membership and non-membership parametric forms, and a line search procedure is employed to compute the step length. Preliminary results from numerical experiments are presented to demonstrate the performance of the method. It is observed that the proposed hybrid CG method is highly effective and promising. KEYWORDS Hybrid CG, intuitionistic fuzzy nonlinear equation, parametric form, step length, inexact line search
{"title":"An Efficient Hybrid Conjugate Gradient Algorithm for Solving Intuitionistic Fuzzy Nonlinear Equations","authors":"Umar Omesa, I. Sulaiman, Waziri Yusuf, Basim A. Hassan, Aliyu Moyi, Ayu Abdul-Rahman, M. Mamat","doi":"10.37575/b/sci/220041","DOIUrl":"https://doi.org/10.37575/b/sci/220041","url":null,"abstract":"This paper presents an iterative algorithm for solving intuitionistic fuzzy nonlinear equations (IFNEs). The proposed method is based on the classical conjugate gradient (CG) search direction. An interesting feature of the new algorithm is that it considers problems based on the special triangular intuitionistic fuzzy number. For this purpose, intuitionistic fuzzy quantities are transformed into membership and non-membership parametric forms, and a line search procedure is employed to compute the step length. Preliminary results from numerical experiments are presented to demonstrate the performance of the method. It is observed that the proposed hybrid CG method is highly effective and promising. KEYWORDS Hybrid CG, intuitionistic fuzzy nonlinear equation, parametric form, step length, inexact line search","PeriodicalId":39024,"journal":{"name":"Scientific Journal of King Faisal University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69895304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research aimed to perform a systematic review of recent scientific studies that addressed the topic of educational data mining by highlighting recent research trends and reviewing the best practices of smart technology in this field. The current research was restricted to scientific studies and conferences in English that were published through the IEEE database between 2020 and October 2022. After applying the PRISMA form and reviewing and documenting the method, 25 papers were identified that matched the criteria. The outcomes of the current research concluded that the trend of prediction was one of the most common research trends in the domain of educational data mining. Moreover, this trend varied remarkably in its coverage of educational scientific aspects. On the other hand, the outcomes demonstrated that the trend of recommending the most appropriate specialised tracks for learners was one of the least common research trends. With regard to intelligent technical practices, the outcomes of the research revealed that the most used and mature intelligent technologies in practical frameworks and algorithms were intended for prediction purposes, and these were shown to greatly enhance researchers’ ability to reach accurate and logical results that are applicable in real educational contexts. KEYWORDS Artificial intelligence, machine learning, algorithms, neural networks, educational data, educational institutions
{"title":"Methods of Overcoming Data Waste in Education: A Systematic Review","authors":"Aminah Aldossary, L. Alfarani","doi":"10.37575/h/edu/220042","DOIUrl":"https://doi.org/10.37575/h/edu/220042","url":null,"abstract":"This research aimed to perform a systematic review of recent scientific studies that addressed the topic of educational data mining by highlighting recent research trends and reviewing the best practices of smart technology in this field. The current research was restricted to scientific studies and conferences in English that were published through the IEEE database between 2020 and October 2022. After applying the PRISMA form and reviewing and documenting the method, 25 papers were identified that matched the criteria. The outcomes of the current research concluded that the trend of prediction was one of the most common research trends in the domain of educational data mining. Moreover, this trend varied remarkably in its coverage of educational scientific aspects. On the other hand, the outcomes demonstrated that the trend of recommending the most appropriate specialised tracks for learners was one of the least common research trends. With regard to intelligent technical practices, the outcomes of the research revealed that the most used and mature intelligent technologies in practical frameworks and algorithms were intended for prediction purposes, and these were shown to greatly enhance researchers’ ability to reach accurate and logical results that are applicable in real educational contexts. KEYWORDS Artificial intelligence, machine learning, algorithms, neural networks, educational data, educational institutions","PeriodicalId":39024,"journal":{"name":"Scientific Journal of King Faisal University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90359309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The COVID-19 pandemic, which emerged in the last quarter of 2019, has seriously affected the global economy, including sectors such as the energy and building industries. Studies of COVID-19 transmission indicate a direct relationship between the number of occupants in a building and the risk of infection. The aims of this study were to focus on workplace density strategies as a primary, overlooked factor that can affect energy consumption and the risk of transmission of viruses within buildings and to determine optimal workplace density strategies to reduce energy consumption, especially in commercial buildings. To this end, the practical approach was used by applying COVE.TOOL technology and data from COVID-19 tracking projects to the proposed occupant density after new design considerations for the food court of the Mall of Arabia – the most famous shopping mall in Egypt. This approach was also used to evaluate customer visits to reduce the spread of disease and improve their energy efficiency.
{"title":"Energy Efficiency Indicators and the First Design Stages for Commercial Centers after the Coronavirus Pandemic","authors":"A. El-Sayed","doi":"10.37575/b/eng/210026","DOIUrl":"https://doi.org/10.37575/b/eng/210026","url":null,"abstract":"The COVID-19 pandemic, which emerged in the last quarter of 2019, has seriously affected the global economy, including sectors such as the energy and building industries. Studies of COVID-19 transmission indicate a direct relationship between the number of occupants in a building and the risk of infection. The aims of this study were to focus on workplace density strategies as a primary, overlooked factor that can affect energy consumption and the risk of transmission of viruses within buildings and to determine optimal workplace density strategies to reduce energy consumption, especially in commercial buildings. To this end, the practical approach was used by applying COVE.TOOL technology and data from COVID-19 tracking projects to the proposed occupant density after new design considerations for the food court of the Mall of Arabia – the most famous shopping mall in Egypt. This approach was also used to evaluate customer visits to reduce the spread of disease and improve their energy efficiency.","PeriodicalId":39024,"journal":{"name":"Scientific Journal of King Faisal University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69891979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Breast cancer is a type of cancer that develops in the breast tissues. When some breast cells begin to grow abnormally, breast cancer develops. These cells grow and divide at a faster rate than healthy cells and continue to grow, generating a lump or mass. Cancer cells in the breast may spread to lymph nodes or other places of the body. The hormone estrogen encourages cancer growth when it binds to the receptor of the targeted protein. The purpose of this study is the rational screening of a 15,000 phytochemicals library against the estrogen receptor alpha protein. The library was employed for molecular docking to find the binding affinities and simulation analysis of the top-selected compounds. The top four compounds, Mangostenone E, Exiguaflavanone M, Sanggenon A, and Flaccidine were identified as direct inhibitors of estrogen receptors as evident from their high binding affinity and occupancy of specific binding sites. Mangostenone E was the leading phytochemical that showed a high docking score—15.97 (kcal/mol)—and bonding interaction at the active site of Mangostenone E. Leading phytochemicals were subjected to analysis for drug-like properties that further reinforced their validation. Potential molecules identified in this study can be considered lead drugs for the treatment of breast cancer. KEYWORDS Bioinformatics, docking, drug candidates, molecular dynamic simulation, phytochemicals, protein data bank
{"title":"In Silico Approaches for the Identification of Novel Inhibitors against Breast Cancer Up-Regulated Protein","authors":"B. Aloufi, A. Alshammari","doi":"10.37575/b/sci/220009","DOIUrl":"https://doi.org/10.37575/b/sci/220009","url":null,"abstract":"Breast cancer is a type of cancer that develops in the breast tissues. When some breast cells begin to grow abnormally, breast cancer develops. These cells grow and divide at a faster rate than healthy cells and continue to grow, generating a lump or mass. Cancer cells in the breast may spread to lymph nodes or other places of the body. The hormone estrogen encourages cancer growth when it binds to the receptor of the targeted protein. The purpose of this study is the rational screening of a 15,000 phytochemicals library against the estrogen receptor alpha protein. The library was employed for molecular docking to find the binding affinities and simulation analysis of the top-selected compounds. The top four compounds, Mangostenone E, Exiguaflavanone M, Sanggenon A, and Flaccidine were identified as direct inhibitors of estrogen receptors as evident from their high binding affinity and occupancy of specific binding sites. Mangostenone E was the leading phytochemical that showed a high docking score—15.97 (kcal/mol)—and bonding interaction at the active site of Mangostenone E. Leading phytochemicals were subjected to analysis for drug-like properties that further reinforced their validation. Potential molecules identified in this study can be considered lead drugs for the treatment of breast cancer. KEYWORDS Bioinformatics, docking, drug candidates, molecular dynamic simulation, phytochemicals, protein data bank","PeriodicalId":39024,"journal":{"name":"Scientific Journal of King Faisal University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69895091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Osman O. O. Yousif, Awad Abdelrahman, Mogtaba Mohammed, Mohammed Saleh
Due to their remarkable convergence properties and performance in practice, conjugate gradient (CG) methods are widely used for solving unconstrained optimisation problems, especially those of large scale. From the 1950s until now, many studies have been carried out to propose new ones to improve existing CG methods. In this paper, we present a condition that guarantees the global convergence of CG methods when they are applied under the exact line search. At the same time, based on this condition, we did a minor modification on the CG methods of Polak-Rebiere-Polyak (PRP) and of Hestenes-Stiefel (HS) to propose new modified methods. Furthermore, to support the theoretical proof of the global convergence of the modified methods in practical computation, a numerical experiment based on comparing the proposed methods with other well-known CG methods was done. It has been found that the new modified methods have the fewest number of iterations and require the shortest time for solving the problems. In addition, they have the highest percentage of the test problems that solved successfully. Hence, we conclude that they can be used successfully for solving unconstrained optimisation problems. KEYWORDS Unconstrained optimisation problems; conjugate gradient methods; exact line search; global convergence
{"title":"A Sufficient Condition for the Global Convergence of Conjugate Gradient Methods for Solving Unconstrained Optimisation Problems","authors":"Osman O. O. Yousif, Awad Abdelrahman, Mogtaba Mohammed, Mohammed Saleh","doi":"10.37575/b/sci/220013","DOIUrl":"https://doi.org/10.37575/b/sci/220013","url":null,"abstract":"Due to their remarkable convergence properties and performance in practice, conjugate gradient (CG) methods are widely used for solving unconstrained optimisation problems, especially those of large scale. From the 1950s until now, many studies have been carried out to propose new ones to improve existing CG methods. In this paper, we present a condition that guarantees the global convergence of CG methods when they are applied under the exact line search. At the same time, based on this condition, we did a minor modification on the CG methods of Polak-Rebiere-Polyak (PRP) and of Hestenes-Stiefel (HS) to propose new modified methods. Furthermore, to support the theoretical proof of the global convergence of the modified methods in practical computation, a numerical experiment based on comparing the proposed methods with other well-known CG methods was done. It has been found that the new modified methods have the fewest number of iterations and require the shortest time for solving the problems. In addition, they have the highest percentage of the test problems that solved successfully. Hence, we conclude that they can be used successfully for solving unconstrained optimisation problems. KEYWORDS Unconstrained optimisation problems; conjugate gradient methods; exact line search; global convergence","PeriodicalId":39024,"journal":{"name":"Scientific Journal of King Faisal University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69895338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Mathew, S. Debnath, Pankaj Kundu, Y. Alkhamis, Mostafizur Rahman, Mostafizur Rahman, Golam Sarower, S. Rahman
An experiment was conducted to investigate suitable feed for Carassius auratus juveniles. 30-day-old juveniles (3.31±0.14 cm and 0.84±0.3 g) were reared in glass aquaria (50×30×30 cm3) at stocking density of 10 juveniles/aquaria in triplicates. The juveniles were fed four different feeds, Tubifex, egg custard, commercial feed, and aquarium feed, twice daily until satiation. After 28 days of trial, fish fed custard and Tubifex had significantly higher survival rates (91% and 88%) than those fed aquarium feed (81%, P < 0.05) and commercial fish feed (75%, P < 0.05). The final length, weight, absolute growth rate and metabolic growth rate were significantly varied among the treatments (P < 0.05). However, no significant differences were evident in weight gain and SGR (P > 0.05). The fish fed custard and Tubifex were comparable in terms of growth performance (P > 0.05) while a significantly lower growth rate was found in fish fed commercial feed (P < 0.05). Fish fed Tubifex and custard had significantly higher protein content (15.28% and 14.86%, respectively) than those fed commercial fish feed (13.41%) and aquarium feed (12.21%). The overall findings suggest that the formulated egg custard can promote growth and survival in goldfish.
{"title":"Growth and Survival of Goldfish (Carassius auratus) Juveniles Fed Tubifex, Custard Meal and Commercial Feeds","authors":"R. Mathew, S. Debnath, Pankaj Kundu, Y. Alkhamis, Mostafizur Rahman, Mostafizur Rahman, Golam Sarower, S. Rahman","doi":"10.37575/b/vet/210080","DOIUrl":"https://doi.org/10.37575/b/vet/210080","url":null,"abstract":"An experiment was conducted to investigate suitable feed for Carassius auratus juveniles. 30-day-old juveniles (3.31±0.14 cm and 0.84±0.3 g) were reared in glass aquaria (50×30×30 cm3) at stocking density of 10 juveniles/aquaria in triplicates. The juveniles were fed four different feeds, Tubifex, egg custard, commercial feed, and aquarium feed, twice daily until satiation. After 28 days of trial, fish fed custard and Tubifex had significantly higher survival rates (91% and 88%) than those fed aquarium feed (81%, P < 0.05) and commercial fish feed (75%, P < 0.05). The final length, weight, absolute growth rate and metabolic growth rate were significantly varied among the treatments (P < 0.05). However, no significant differences were evident in weight gain and SGR (P > 0.05). The fish fed custard and Tubifex were comparable in terms of growth performance (P > 0.05) while a significantly lower growth rate was found in fish fed commercial feed (P < 0.05). Fish fed Tubifex and custard had significantly higher protein content (15.28% and 14.86%, respectively) than those fed commercial fish feed (13.41%) and aquarium feed (12.21%). The overall findings suggest that the formulated egg custard can promote growth and survival in goldfish.","PeriodicalId":39024,"journal":{"name":"Scientific Journal of King Faisal University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69895922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research studied the impact growth in real estate activities has on the return of the stock markets and banking sectors in the Gulf Cooperation Council countries (GCC). The study applied multivariate regressions to analyze yearly indices return data from 2010 to 2020. The results indicated a positive relationship between the growth in real estate activities and the return of both the stock markets and banking sectors in the GCC countries. Furthermore, the study also discovered a positive correlation between the returns of the stock markets and the banking sectors. Finally, the results of this study are expected to be of interest to researchers who are interested in examining the impact of the real estate sector on stock market returns, as well as to dealers in the financial markets, including investors and legislators, who should monitor the real estate sector to better forecast the returns of the stock market. These results also indicate the importance of adopting growth in real estate activities as a significant economic factor that affects both the stock market and the banking sector.
{"title":"The Impact of Growth in Real Estate Activities on Stock Returns and the Banking Sector in The Gulf Cooperation Council","authors":"Ahmed S. Alanazi, B. Alsubaiei","doi":"10.37575/h/mng/220018","DOIUrl":"https://doi.org/10.37575/h/mng/220018","url":null,"abstract":"This research studied the impact growth in real estate activities has on the return of the stock markets and banking sectors in the Gulf Cooperation Council countries (GCC). The study applied multivariate regressions to analyze yearly indices return data from 2010 to 2020. The results indicated a positive relationship between the growth in real estate activities and the return of both the stock markets and banking sectors in the GCC countries. Furthermore, the study also discovered a positive correlation between the returns of the stock markets and the banking sectors. Finally, the results of this study are expected to be of interest to researchers who are interested in examining the impact of the real estate sector on stock market returns, as well as to dealers in the financial markets, including investors and legislators, who should monitor the real estate sector to better forecast the returns of the stock market. These results also indicate the importance of adopting growth in real estate activities as a significant economic factor that affects both the stock market and the banking sector.","PeriodicalId":39024,"journal":{"name":"Scientific Journal of King Faisal University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79966106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Saudi Arabia was one of the countries that undertook early precautionary measures from March 8 to June 21, 2020, to avoid the spread of Covid-19. These measures consisted of partial lockdowns and isolating some neighbourhoods from the rest of the city. The precautionary procedures impacted the isolated residents' ability to meet their needs and conduct `their daily activities, but the greatest impact appeared in low-density neighbourhoods that do not have full services. This paper proposes a set of recommendations and practical procedures to improve the quality of residential neighbourhoods and avoid negative effects as a result of a partial or total lockdown in the future. The steps involved in the study include the following: identify precautionary procedures; monitor and analyse the reactions resulting from their application; and identify the shortcomings that cause the negative effects and inability to meet the needs of the population. Based on the findings, this paper outlines recommendations for a set of procedures that would improve the quality of residential neighbourhoods and avoid negative effects should future precautionary measures be required. KEYWORDS Corona, precautionary measures, quality of residential neighbourhoods, Riyadh
{"title":"Lessons Learned from the Covid-19 Pandemic to Raise the Quality of Residential Neighbourhoods: The Saudi Context","authors":"Esam Haider, Ali Bahammam","doi":"10.37575/b/eng/220012","DOIUrl":"https://doi.org/10.37575/b/eng/220012","url":null,"abstract":"Saudi Arabia was one of the countries that undertook early precautionary measures from March 8 to June 21, 2020, to avoid the spread of Covid-19. These measures consisted of partial lockdowns and isolating some neighbourhoods from the rest of the city. The precautionary procedures impacted the isolated residents' ability to meet their needs and conduct `their daily activities, but the greatest impact appeared in low-density neighbourhoods that do not have full services. This paper proposes a set of recommendations and practical procedures to improve the quality of residential neighbourhoods and avoid negative effects as a result of a partial or total lockdown in the future. The steps involved in the study include the following: identify precautionary procedures; monitor and analyse the reactions resulting from their application; and identify the shortcomings that cause the negative effects and inability to meet the needs of the population. Based on the findings, this paper outlines recommendations for a set of procedures that would improve the quality of residential neighbourhoods and avoid negative effects should future precautionary measures be required. KEYWORDS Corona, precautionary measures, quality of residential neighbourhoods, Riyadh","PeriodicalId":39024,"journal":{"name":"Scientific Journal of King Faisal University","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69893375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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