A rapid and precise reverse phase high performance liquid chromatographic method has been developed for the validated of Nilutamide, in its pure form as well as in tablet dosage form. Chromatography was carried out on a Symmetry C18 (4.6 x 150 mm, 5 µm) column using a mixture of Methanol and water (45: 55 % v/v) as the mobile phase at a flow rate of 0.8 ml/min, the detection was carried out at 260 nm. The retention time of the Nilutamide was 2.379 ± 0.02 min respectively. The method produce linear responses in the concentration range of 24-120 mg/ml of Nilutamide. The method precision for the determination of assay was below 2.0 % RSD. The method is useful in the quality control of bulk and pharmaceutical formulations. The method was validated for accuracy, precision, linearity, robustness, ruggedness and LOD & LOQ of standard solution. The developed RP-HPLC method was found to be accurate, precise, linear, and robust and was successful applied to a pharmaceutical tablet formulation for qualitative estimation of Nilutamide in Bulk form and Marketed Pharmaceutical Dosage forms.
{"title":"A new analytical RP-HPLC method development and validation for the estimation of Nilutamide in bulk form and marketed pharmaceutical dosage form","authors":"Dhayapanthullapally Shireesha, Rizwana Begum, Kankala Sujatha, Arumugam Yasodha","doi":"10.30574/wjarr.2024.23.1.2211","DOIUrl":"https://doi.org/10.30574/wjarr.2024.23.1.2211","url":null,"abstract":"A rapid and precise reverse phase high performance liquid chromatographic method has been developed for the validated of Nilutamide, in its pure form as well as in tablet dosage form. Chromatography was carried out on a Symmetry C18 (4.6 x 150 mm, 5 µm) column using a mixture of Methanol and water (45: 55 % v/v) as the mobile phase at a flow rate of 0.8 ml/min, the detection was carried out at 260 nm. The retention time of the Nilutamide was 2.379 ± 0.02 min respectively. The method produce linear responses in the concentration range of 24-120 mg/ml of Nilutamide. The method precision for the determination of assay was below 2.0 % RSD. The method is useful in the quality control of bulk and pharmaceutical formulations. The method was validated for accuracy, precision, linearity, robustness, ruggedness and LOD & LOQ of standard solution. The developed RP-HPLC method was found to be accurate, precise, linear, and robust and was successful applied to a pharmaceutical tablet formulation for qualitative estimation of Nilutamide in Bulk form and Marketed Pharmaceutical Dosage forms.","PeriodicalId":23739,"journal":{"name":"World Journal of Advanced Research and Reviews","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795945","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 advent of artificial intelligence (AI) has ushered in a new era of efficiency and accuracy across various industries, with inventory management and demand forecasting being at the forefront of these advancements. Traditional inventory management techniques, often reliant on historical data and simple statistical models, fall short in addressing the dynamic and complex nature of contemporary markets (Chopra & Meindl, 2016). AI, with its advanced algorithms and machine learning capabilities, offers a transformative approach to these critical business functions. This paper explores the integration of AI technologies in optimizing inventory management and predicting customer demand. AI-enhanced inventory management involves the application of various AI technologies such as machine learning, natural language processing (NLP), computer vision, and robotics process automation (RPA) (Ivanov et al., 2017). Machine learning algorithms analyze vast amounts of historical data to identify patterns and trends, enabling more accurate predictions and adjustments in inventory levels. NLP processes unstructured data from sources like social media and customer reviews to provide deeper insights into market trends and customer preferences (Cambria & White, 2014). Computer vision technologies assist in real-time monitoring of inventory levels and identifying discrepancies through visual data, while RPA automates repetitive tasks like order processing and inventory tracking, thereby reducing human error and increasing efficiency (Aguirre & Rodriguez, 2017). This paper highlights significant improvements in forecast accuracy and inventory turnover rates achieved through AI implementation and discusses future implications for supply chain management.
{"title":"AI-enhanced inventory and demand forecasting: Using AI to optimize inventory management and predict customer demand","authors":"Praveen Kumar, Divya Choubey, Olamide Raimat Amosu, Yewande Mariam Ogunsuji","doi":"10.30574/wjarr.2024.23.1.2173","DOIUrl":"https://doi.org/10.30574/wjarr.2024.23.1.2173","url":null,"abstract":"The advent of artificial intelligence (AI) has ushered in a new era of efficiency and accuracy across various industries, with inventory management and demand forecasting being at the forefront of these advancements. Traditional inventory management techniques, often reliant on historical data and simple statistical models, fall short in addressing the dynamic and complex nature of contemporary markets (Chopra & Meindl, 2016). AI, with its advanced algorithms and machine learning capabilities, offers a transformative approach to these critical business functions. This paper explores the integration of AI technologies in optimizing inventory management and predicting customer demand. AI-enhanced inventory management involves the application of various AI technologies such as machine learning, natural language processing (NLP), computer vision, and robotics process automation (RPA) (Ivanov et al., 2017). Machine learning algorithms analyze vast amounts of historical data to identify patterns and trends, enabling more accurate predictions and adjustments in inventory levels. NLP processes unstructured data from sources like social media and customer reviews to provide deeper insights into market trends and customer preferences (Cambria & White, 2014). Computer vision technologies assist in real-time monitoring of inventory levels and identifying discrepancies through visual data, while RPA automates repetitive tasks like order processing and inventory tracking, thereby reducing human error and increasing efficiency (Aguirre & Rodriguez, 2017). This paper highlights significant improvements in forecast accuracy and inventory turnover rates achieved through AI implementation and discusses future implications for supply chain management.","PeriodicalId":23739,"journal":{"name":"World Journal of Advanced Research and Reviews","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796056","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}
Pub Date : 2024-07-30DOI: 10.30574/wjarr.2024.23.1.2076
Bhaskar Mahanayak
This study evaluates the water quality of Chaltia Beel, a significant wetland in Murshidabad, West Bengal, India. Chaltia Beel serves as a crucial habitat for a variety of aquatic species and supports local communities through its use in agriculture and fisheries. The primary objective of this research is to assess the microbiological and chemical characteristics of the beel's water to determine its suitability for ecological and human use. Water samples were collected from three different sites within the beel during the post-monsoon season of 2023. The parameters analyzed include pH, temperature, total dissolved solids (TDS), turbidity, dissolved oxygen (DO), nitrate (NO3), phosphate (PO4), ammoniacal nitrogen, total alkalinity, and total coliform bacteria. Standard methods prescribed by the American Public Health Association (APHA) and the Indian Standards Institution (ISI) were employed for the analyses. The results indicate that the pH values (7.74 to 7.77) are within the neutral range, which is favorable for most aquatic life. The temperature of the water (28.1°C to 28.2°C) is stable and conducive to the ecosystem. TDS levels (398 mg/l to 406 mg/l) are within acceptable limits, though continuous monitoring is recommended to detect any potential increases. Turbidity levels (1.1 NTU to 1.4 NTU) are low, indicating good water clarity. DO levels (6.3 mg/l to 6.6 mg/l) are adequate to support aerobic aquatic organisms. Nitrate levels were consistently below 0.5 mg/l, suggesting minimal agricultural runoff impact. However, phosphate levels (1.38 mg/l to 1.41 mg/l) are relatively high, indicating a risk of eutrophication. Ammoniacal nitrogen levels (0.56 mg/l to 0.61 mg/l) are within acceptable limits but need monitoring to prevent potential toxicity. Total alkalinity (277.4 mg/l to 285 mg/l) provides a good buffering capacity, maintaining pH stability. Microbiological analysis revealed significant contamination with total coliform bacteria ranging from 190 to 204 CFU/100ml, which highlights potential health risks if the water is used for drinking or recreational purposes. The study concludes that while some water quality parameters of Chaltia Beel are within acceptable limits, others require attention to prevent environmental and health issues. Regular monitoring, pollution control, public awareness, habitat restoration, and sustainable practices are recommended to improve and maintain the water quality of Chaltia Beel. These efforts are essential for preserving the ecological health of the wetland and ensuring its continued benefit to the local communities.
{"title":"Sustainability and water quality management in Chaltia Beel: Addressing ecological and public health challenges","authors":"Bhaskar Mahanayak","doi":"10.30574/wjarr.2024.23.1.2076","DOIUrl":"https://doi.org/10.30574/wjarr.2024.23.1.2076","url":null,"abstract":"This study evaluates the water quality of Chaltia Beel, a significant wetland in Murshidabad, West Bengal, India. Chaltia Beel serves as a crucial habitat for a variety of aquatic species and supports local communities through its use in agriculture and fisheries. The primary objective of this research is to assess the microbiological and chemical characteristics of the beel's water to determine its suitability for ecological and human use. Water samples were collected from three different sites within the beel during the post-monsoon season of 2023. The parameters analyzed include pH, temperature, total dissolved solids (TDS), turbidity, dissolved oxygen (DO), nitrate (NO3), phosphate (PO4), ammoniacal nitrogen, total alkalinity, and total coliform bacteria. Standard methods prescribed by the American Public Health Association (APHA) and the Indian Standards Institution (ISI) were employed for the analyses. The results indicate that the pH values (7.74 to 7.77) are within the neutral range, which is favorable for most aquatic life. The temperature of the water (28.1°C to 28.2°C) is stable and conducive to the ecosystem. TDS levels (398 mg/l to 406 mg/l) are within acceptable limits, though continuous monitoring is recommended to detect any potential increases. Turbidity levels (1.1 NTU to 1.4 NTU) are low, indicating good water clarity. DO levels (6.3 mg/l to 6.6 mg/l) are adequate to support aerobic aquatic organisms. Nitrate levels were consistently below 0.5 mg/l, suggesting minimal agricultural runoff impact. However, phosphate levels (1.38 mg/l to 1.41 mg/l) are relatively high, indicating a risk of eutrophication. Ammoniacal nitrogen levels (0.56 mg/l to 0.61 mg/l) are within acceptable limits but need monitoring to prevent potential toxicity. Total alkalinity (277.4 mg/l to 285 mg/l) provides a good buffering capacity, maintaining pH stability. Microbiological analysis revealed significant contamination with total coliform bacteria ranging from 190 to 204 CFU/100ml, which highlights potential health risks if the water is used for drinking or recreational purposes. The study concludes that while some water quality parameters of Chaltia Beel are within acceptable limits, others require attention to prevent environmental and health issues. Regular monitoring, pollution control, public awareness, habitat restoration, and sustainable practices are recommended to improve and maintain the water quality of Chaltia Beel. These efforts are essential for preserving the ecological health of the wetland and ensuring its continued benefit to the local communities.","PeriodicalId":23739,"journal":{"name":"World Journal of Advanced Research and Reviews","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796071","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}
Pub Date : 2024-07-30DOI: 10.30574/wjarr.2024.23.1.2162
Joseph Nnaemeka Chukwunweike, Samakinwa Michael, Martin Ifeanyi Mbamalu MNSE, Chinonso Emeh
The integration of Artificial Intelligence (AI) in Electrocardiography (ECG) and Photoplethysmography (PPG) signifies AI's profound influence on heart rate monitoring and analysis. ECG traditionally offers critical insights into cardiac health, necessitating expert interpretation. This study introduces an AI framework with Fast Fourier Transformation Analysis for swift, human-like interpretation of complex ECG signals. A multilayer AI Network accurately detects intricate features, enhancing ECG analysis precision. Leveraging comprehensive datasets, AI models proficiently identify heart dysfunctions like atrial fibrillation and hypertrophic cardiomyopathy, and can estimate age, sex, and race. The proliferation of mobile ECG technologies has spurred AI-based ECG phenotyping, impacting clinical and population health. This research explores AI's role in enhancing cardiac health assessment and clinical decision-making using MATLAB, acknowledging its transformative potential and inherent limitations.
{"title":"Artificial intelligence and electrocardiography: A modern approach to heart rate monitoring","authors":"Joseph Nnaemeka Chukwunweike, Samakinwa Michael, Martin Ifeanyi Mbamalu MNSE, Chinonso Emeh","doi":"10.30574/wjarr.2024.23.1.2162","DOIUrl":"https://doi.org/10.30574/wjarr.2024.23.1.2162","url":null,"abstract":"The integration of Artificial Intelligence (AI) in Electrocardiography (ECG) and Photoplethysmography (PPG) signifies AI's profound influence on heart rate monitoring and analysis. ECG traditionally offers critical insights into cardiac health, necessitating expert interpretation. This study introduces an AI framework with Fast Fourier Transformation Analysis for swift, human-like interpretation of complex ECG signals. A multilayer AI Network accurately detects intricate features, enhancing ECG analysis precision. Leveraging comprehensive datasets, AI models proficiently identify heart dysfunctions like atrial fibrillation and hypertrophic cardiomyopathy, and can estimate age, sex, and race. The proliferation of mobile ECG technologies has spurred AI-based ECG phenotyping, impacting clinical and population health. This research explores AI's role in enhancing cardiac health assessment and clinical decision-making using MATLAB, acknowledging its transformative potential and inherent limitations.","PeriodicalId":23739,"journal":{"name":"World Journal of Advanced Research and Reviews","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796075","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}
Pub Date : 2024-07-30DOI: 10.30574/wjarr.2024.23.1.2032
Elijah Did Fayo, R. Obuba
Despite numerous reforms, the Judiciary of Kenya has seen a rise in complaints about its service delivery. Common issues include slow service, missing files, corruption, delayed rulings, and delayed orders. This increase in complaints is surprising given the efforts to improve the judiciary's service delivery. Consequently, it is important to examine the planning strategies within the Judiciary and how they impact service delivery. This area has rarely been studied, leading to a lack of understanding in the existing literature about the effects of planning on service delivery in Kenya's Judiciary. This study aimed to fill that gap by focusing on the Meru High Court. The study aimed to examine the impact of planning strategy on service delivery at the Meru High Court, with a target population of 86 respondents. The research was guided by Kotter’s Eight Step Change Model. A descriptive survey design was employed. Before collecting the main data, a pilot test with 9 respondents was conducted at the Chuka Law Courts to assess the questionnaire's reliability and validity. Data analysis involved descriptive statistics such as frequency distribution, percentages, mean, and SD, along with regression and correlation analyses. The findings showed that a plan is created prior to implementing any changes. Respondents confirmed that the information provided by the Judiciary regarding changes is both reliable and pertinent. The research is significant as it helps the Judiciary understand how planning strategies affect service delivery.
{"title":"An assessment on the influence of planning strategy on service delivery in Meru High Court","authors":"Elijah Did Fayo, R. Obuba","doi":"10.30574/wjarr.2024.23.1.2032","DOIUrl":"https://doi.org/10.30574/wjarr.2024.23.1.2032","url":null,"abstract":"Despite numerous reforms, the Judiciary of Kenya has seen a rise in complaints about its service delivery. Common issues include slow service, missing files, corruption, delayed rulings, and delayed orders. This increase in complaints is surprising given the efforts to improve the judiciary's service delivery. Consequently, it is important to examine the planning strategies within the Judiciary and how they impact service delivery. This area has rarely been studied, leading to a lack of understanding in the existing literature about the effects of planning on service delivery in Kenya's Judiciary. This study aimed to fill that gap by focusing on the Meru High Court. The study aimed to examine the impact of planning strategy on service delivery at the Meru High Court, with a target population of 86 respondents. The research was guided by Kotter’s Eight Step Change Model. A descriptive survey design was employed. Before collecting the main data, a pilot test with 9 respondents was conducted at the Chuka Law Courts to assess the questionnaire's reliability and validity. Data analysis involved descriptive statistics such as frequency distribution, percentages, mean, and SD, along with regression and correlation analyses. The findings showed that a plan is created prior to implementing any changes. Respondents confirmed that the information provided by the Judiciary regarding changes is both reliable and pertinent. The research is significant as it helps the Judiciary understand how planning strategies affect service delivery.","PeriodicalId":23739,"journal":{"name":"World Journal of Advanced Research and Reviews","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796106","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}
Sepsis after caesarean section (CS) is still a major problem in our hospitals. A large percentage of caesarean section wound infections arise from preventable causes which if addressed could significantly reduce rate of wound sepsis. The aim of this study was to identify the prevalence of bacterial pathogens associated with post caesarean wound infections and determine their relationship with some risk factors. A prospective descriptive study was conducted in randomly selected hospitals in Otukpo which included 278 women (mean age; 26.94) who underwent surgical procedure for delivery. Data were collected from patients following wound examination and compared in terms of surgical site infection and study variables (age, parity, type of CS, type of incision, duration of hospital stay and duration of Labour. Out of the 278 caesarean sections, 187(67.3%) were emergency procedures and 91 (32.7%) were elective procedures. Twenty three of the cases developed surgical site infections (SSI). Staphylococcus aureus (n=11; 47.83%) was the most commonly isolated organism followed by E. coli (n=5; 21.74). Caesarean section infection was found to be common in women who had emergency CS (p<0.0001), who had longer duration of Labour and hospital stay (p<0.0001) and had sub-umblical type of skin incision (p<0.0001). Development of infection following caesarean section is multifactorial and can be minimized or prevented if health care professionals develop and implement strict protocol for performing caesarean sections.
{"title":"Prevalence of bacterial isolates of post caesarean wounds from hospitals in Otukpo, Benue state, NigeriaC","authors":"Evelyn Ajuma Okpe, Ebele Uchenna Umeh, Okwoli Amali","doi":"10.30574/wjarr.2024.23.1.2049","DOIUrl":"https://doi.org/10.30574/wjarr.2024.23.1.2049","url":null,"abstract":"Sepsis after caesarean section (CS) is still a major problem in our hospitals. A large percentage of caesarean section wound infections arise from preventable causes which if addressed could significantly reduce rate of wound sepsis. The aim of this study was to identify the prevalence of bacterial pathogens associated with post caesarean wound infections and determine their relationship with some risk factors. A prospective descriptive study was conducted in randomly selected hospitals in Otukpo which included 278 women (mean age; 26.94) who underwent surgical procedure for delivery. Data were collected from patients following wound examination and compared in terms of surgical site infection and study variables (age, parity, type of CS, type of incision, duration of hospital stay and duration of Labour. Out of the 278 caesarean sections, 187(67.3%) were emergency procedures and 91 (32.7%) were elective procedures. Twenty three of the cases developed surgical site infections (SSI). Staphylococcus aureus (n=11; 47.83%) was the most commonly isolated organism followed by E. coli (n=5; 21.74). Caesarean section infection was found to be common in women who had emergency CS (p<0.0001), who had longer duration of Labour and hospital stay (p<0.0001) and had sub-umblical type of skin incision (p<0.0001). Development of infection following caesarean section is multifactorial and can be minimized or prevented if health care professionals develop and implement strict protocol for performing caesarean sections.","PeriodicalId":23739,"journal":{"name":"World Journal of Advanced Research and Reviews","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796125","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}
Pub Date : 2024-07-30DOI: 10.30574/wjarr.2024.23.1.2014
Chukwu Udoka, Ugochukwu Remigius, Njoku Marilyn
The study examined the challenges and prospects of Igbo apprenticeship system in the modern world: The specific objectives were to: determine the challenges of Igbo apprenticeship system in the modern world and examine the prospects of Igbo apprenticeship system in the modern world. The research design was descriptive survey method. Study Area was Enugu State. The sample size of 163 respondents were taken from population of 276 apprentices from different major markets – Kenyetha market (44), Ogbete market (41), Timber market Abakpa (53), Artisans markets (64) and Gariki market (74) Enugu Metropolis business clusters in Enugu state, Nigeria. Research questions of the study were answered using mean score and standard deviation. The hypotheses stated would be tested with chi-square and single regression analysis. The empirical result showed that there are significant challenges of Igbo apprenticeship system in the modern world (Chi-square: 33.62 > Critical-value: 0.000) and there are significant prospects of Igbo apprenticeship system in the modern world (Chi-square: 98.48 > Critical-value: 0.000). The study recommended that Nigerian government should formulate policy that enforce justice between apprentice master and his apprentice to control non-settlement of apprentice after several years of patience.
{"title":"Igbo apprenticeship system in the modern world: Challenges and prospects","authors":"Chukwu Udoka, Ugochukwu Remigius, Njoku Marilyn","doi":"10.30574/wjarr.2024.23.1.2014","DOIUrl":"https://doi.org/10.30574/wjarr.2024.23.1.2014","url":null,"abstract":"The study examined the challenges and prospects of Igbo apprenticeship system in the modern world: The specific objectives were to: determine the challenges of Igbo apprenticeship system in the modern world and examine the prospects of Igbo apprenticeship system in the modern world. The research design was descriptive survey method. Study Area was Enugu State. The sample size of 163 respondents were taken from population of 276 apprentices from different major markets – Kenyetha market (44), Ogbete market (41), Timber market Abakpa (53), Artisans markets (64) and Gariki market (74) Enugu Metropolis business clusters in Enugu state, Nigeria. Research questions of the study were answered using mean score and standard deviation. The hypotheses stated would be tested with chi-square and single regression analysis. The empirical result showed that there are significant challenges of Igbo apprenticeship system in the modern world (Chi-square: 33.62 > Critical-value: 0.000) and there are significant prospects of Igbo apprenticeship system in the modern world (Chi-square: 98.48 > Critical-value: 0.000). The study recommended that Nigerian government should formulate policy that enforce justice between apprentice master and his apprentice to control non-settlement of apprentice after several years of patience.","PeriodicalId":23739,"journal":{"name":"World Journal of Advanced Research and Reviews","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796199","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}
Pub Date : 2024-07-30DOI: 10.30574/wjarr.2024.23.1.2098
Eltom Ishaq Osman Musa, Hardi Warsono, Budi Puspo Priyadi
This research investigates the challenges encountered by the Ministry of Higher Education in Sudan as it digitalizes its human resources management processes. The study identifies significant obstacles, such as limited technological infrastructure, insufficient digital literacy among staff, and inadequate training programs. Adopting a quantitative descriptive approach, primary data was collected through a questionnaire distributed to the entire employee population, with 150 out of 201 respondents participating. Data analysis was conducted using SPSS 20.0 software, incorporating validity and reliability tests and content validation by a panel of 20 experts. The instrument's validity was confirmed using Cronbach's alpha-split-half method, with Aiken's V indicating that all items were valid (not less than 0.64 at a 0.05 significance level). The findings reveal a strong consensus among respondents regarding the challenges of digitalizing HRM within the Ministry. The study's comprehensive coverage, demonstrated by the sample size and the range of recorded values (15.00 to 75.00), highlights the diversity and extent of these challenges.
{"title":"The challenges of digitalizing human resources management in sudan at the ministry of higher education and scientific research","authors":"Eltom Ishaq Osman Musa, Hardi Warsono, Budi Puspo Priyadi","doi":"10.30574/wjarr.2024.23.1.2098","DOIUrl":"https://doi.org/10.30574/wjarr.2024.23.1.2098","url":null,"abstract":"This research investigates the challenges encountered by the Ministry of Higher Education in Sudan as it digitalizes its human resources management processes. The study identifies significant obstacles, such as limited technological infrastructure, insufficient digital literacy among staff, and inadequate training programs. Adopting a quantitative descriptive approach, primary data was collected through a questionnaire distributed to the entire employee population, with 150 out of 201 respondents participating. Data analysis was conducted using SPSS 20.0 software, incorporating validity and reliability tests and content validation by a panel of 20 experts. The instrument's validity was confirmed using Cronbach's alpha-split-half method, with Aiken's V indicating that all items were valid (not less than 0.64 at a 0.05 significance level). The findings reveal a strong consensus among respondents regarding the challenges of digitalizing HRM within the Ministry. The study's comprehensive coverage, demonstrated by the sample size and the range of recorded values (15.00 to 75.00), highlights the diversity and extent of these challenges.","PeriodicalId":23739,"journal":{"name":"World Journal of Advanced Research and Reviews","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796211","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}
Pub Date : 2024-07-30DOI: 10.30574/wjarr.2024.23.1.2071
Ni Luh Santi Asih, Ni Ketut Rasmini, Anak Agung Gde Putu Widanaputra, Henny Triyana Hasibuan
This study aims to analyze the effect of each component of the fraud hexagon theory on fraudulent financial statements with the audit committee as a moderator. This research was conducted at banking sector companies listed on the IDX in 2019-2022, totaling 47 companies. The sampling method uses purposive sampling which results in 44 companies with 176 financial data used as samples. Data analysis was carried out on secondary data with SEM-PLS analysis techniques. The results of this study indicate that independent commissioners who hold concurrent positions, the ratio of total accruals to total assets (TATA) and ineffective monitoring have no effect on fraudulent financial statements. External pressure has a negative effect on fraudulent financial statements, while changes in directors and managerial ownership have a positive effect on fraudulent financial statements. The audit committee is able to moderate the effect of external pressure, change of directors, managerial ownership and ineffective monitoring on fraudulent financial statements. The audit committee is unable to moderate the effect of independent commissioners who hold concurrent positions, the ratio of total accruals to total assets (TATA) on fraudulent financial statements.
{"title":"Moderate of audit committee on components of the fraud hexagon theory and fraudulent financial statements","authors":"Ni Luh Santi Asih, Ni Ketut Rasmini, Anak Agung Gde Putu Widanaputra, Henny Triyana Hasibuan","doi":"10.30574/wjarr.2024.23.1.2071","DOIUrl":"https://doi.org/10.30574/wjarr.2024.23.1.2071","url":null,"abstract":"This study aims to analyze the effect of each component of the fraud hexagon theory on fraudulent financial statements with the audit committee as a moderator. This research was conducted at banking sector companies listed on the IDX in 2019-2022, totaling 47 companies. The sampling method uses purposive sampling which results in 44 companies with 176 financial data used as samples. Data analysis was carried out on secondary data with SEM-PLS analysis techniques. The results of this study indicate that independent commissioners who hold concurrent positions, the ratio of total accruals to total assets (TATA) and ineffective monitoring have no effect on fraudulent financial statements. External pressure has a negative effect on fraudulent financial statements, while changes in directors and managerial ownership have a positive effect on fraudulent financial statements. The audit committee is able to moderate the effect of external pressure, change of directors, managerial ownership and ineffective monitoring on fraudulent financial statements. The audit committee is unable to moderate the effect of independent commissioners who hold concurrent positions, the ratio of total accruals to total assets (TATA) on fraudulent financial statements.","PeriodicalId":23739,"journal":{"name":"World Journal of Advanced Research and Reviews","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796236","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}
Pub Date : 2024-07-30DOI: 10.30574/wjarr.2024.23.1.2206
Tanvir Rahman Akash, Jafrin Reza, MD Ashraful Alam
Systemic risks are relevant to most segments of financial and economic activity, which creates the threat of financial instability of enterprises. Financial security, in this case, implies the state of financial soundness; it is expressed through various parameters including the level of solvency, financial stability, business activity, and efficiency of management. These questions are specific to each indicator, and this paper aims to understand their relations and how changes in them can result in risks. It elaborates the risk analysis and assessment procedure that uses a set of common financial analysis tools and determines key financial coefficients. Liquidity ratios, solvency ratios, profitability ratios, and the risk exposure metrics are the key areas that the research is based on. Correlating the financial indicators from a rich dataset from Yahoo’s Stock market data, regression analysis is used to determine these relationships between these indicators and risk management factors. A positive relationship between liquidity ratios and profitability is detected points to the fact that, firms with high liquidity levels are more capable of attaining good financial health and returns. It establishes the need for the development of a credible risk management structure that would lower threats to fiscal and economic activities. In light of this, the research shows that the liquidity and solvency management lowers financial risk and improves return for companies. The regression analysis was conducted to ascertain the degree of predictability of each independent variable to the dependent variable and the findings revealed that approximately 94 percent of each independent variable is predictable of the dependent variable that able to establish as much as 5% of the total variability in profitability, with the PE ratios being an indication of this aspect, was attributed to stock prices, as a result, the firm must be keen on its financials. This paper explores the employability of the proposed methods and models to assess the risks with high accuracy and supports optimum decision making in regard with the needed security of the enterprises. By adopting these methodologies, the businesses can observe and estimate risks which exist in the future which would help them to avoid certain issues or dangers and also pave the way for the improvements of the financial stability of the businesses. On this note, the study establishes the fact that incorporating the notion of total risk management into the framework of analyzing business and making financial decisions is inevitable in maintaining corporate financial stability and realizing perpetual economic solidity. This research enriches the literature on financial risk management, as it outlines viable strategies for the protection of enterprise financial sustainability.
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