bluuebunny/crossref_metadata_2025 huggingface dataset:
AN ANALYSIS OF THE APPLICATION OF PROBLEM BASED LEARNING (PBL) MODEL IN MATHEMATICS FOR ELEMENTARY SCHOOL STUDENTS
Authors: Sarnoko Sarnoko , Asrowi Asrowi , Gunarhadi Gunarhadi , Usodo Budi
Published: May 2024

The problem-based learning model remains an innovative model that is often implemented for learning in the 21st century, as an effort to achieve students' soft skill competencies. Therefore, the purpose of this study is to identify the necessary learning model in Mathematics at Girimarto District Elementary Schools and to analyze the application of the problem-based learning model at these schools. This research is classified as descriptive quantitative research, and it involves a random sample of 106 students and 10 elementary school teachers in the Girimarto area. The data collection technique used is non-test, specifically through the use of questionnaires. The data obtained from the questionnaires are analyzed descriptively using percentages to depict the research findings. The study highlighted a suboptimal implementation of the Problem-Based Learning (PBL) model in Girimarto District, with only 44.94% of the sample demonstrating mastery of critical thinking, 35.67% exhibiting creative reasoning, and 25.09% performing analytical thinking. This indicates a lack of High Order Thinking Skills (HOTS)-based learning among teachers. Various obstacles were identified, including student passivity, fear, and unfamiliarity with the PBL model. Interviews and observations further revealed that many teachers had not fully grasped the concept of PBL. The study emphasizes the need to address these obstacles to enhance PBL implementation and improve Mathematics learning outcomes in Girimarto District Elementary Schools. The implications of these findings underscore the necessity of addressing these barriers to enhance the implementation of PBL and improve Mathematics learning outcomes in Girimarto Elementary School.
The impact of audit review and related accountability on auditor performance: Evidence from an emerging economy
Authors: Hegazy Mohamed Abdel Aziz , Kamareldawla Noha Mahmoud
Published: May 2024

This study aims to examine the role of accountability in audit review over auditors’ performance in an emerging setting which suffers from the ineffective implementation of the regulatory framework. An experiment was conducted where anticipation of audit review is being manipulated. Participants are senior auditors working in an audit firm with international affiliation. They were randomly assigned to one of two groups: review (accountable), or no review (non-accountable) to assess control and fraud risk and determine the type of the audit report. The results show that anticipation of audit review and related accountability feeling has no significant impact on auditors’ performance toward either risk assessment or reporting decisions. However, the performance of the review group’s participants was closer to that of a benchmark, and they were also more conservative in their fraud risk assessment compared to the no-review group. The findings suggest that less regulatory environments do not introduce sufficient pressure or monitoring over auditors to enhance their performance. The findings have implications for regulators and the accounting profession concerned with monitoring and promoting auditor performance.
An effective computational approximation of Rosenau--Hyman equation using finite element method with error estimation
Authors: Sucu Derya
Published: May 2024

The research paper deals with the numerical solutions of the Rosenau-
Hymann (R-H) equation, known as the generalized Korteweg-de Vries
equation, which represents the dynamics of shallow water waves and
models of pattern formation in liquid drops. To reach this aim based on
septic B-spline approximation, a collocation finite element method has
been offered and applied for numerical solutions of R-H equation
conceiving different parameter values of test problem. Also, Von-Neumann
stability analysis has been performed which guarantees that the scheme
is unconditionally stable. A test problem has been successfully solved
by calculating L 2 and L ∞ error norms for illustrate the proficiency
and reliability of the method and highlighted the significance of this
work. It is made an inference that the numerical results match well with
the analytical solutions, which indicates that the current B-spline
collocation algorithm is an attractive and powerful algorithm. Also to
reflect the efficiency of this method for solving the nonlinear
equation, the results are depicted both graphically and in tabular form.
The results obtained from both analytical and numerical methods show us
that this study will be very useful for scientists concern with
searching characteristics features of nonlinear phenomena in several
fields of science.
An Appraisal of the Perception of Continuous Assessment Practice Among Secondary School Science Teachers in Ondo State South/West Nigeria
Authors:   1 Dept of Science Education/2Dept of Counselling Psychology/3Dept of Social Science Education, Bamidele Olumilua University of Education, Science & Technology Ikere Ekiti, Ekiti State, Nigeria, Boris O.O. , Ajogbeje O.J. , Ekiugbo U.E
Published: May 2024

This study explores the perception of continuous assessment practices among secondary school science teachers. Continuous assessment is recognized as a valuable tool for enhancing teaching and learning outcomes by providing ongoing feedback and identifying student’s strength and weaknesses. However, there are challenges and misconceptions surrounding its implementation. Through a comprehensive appraisal, this study examines teacher’s perspectives in terms of gender, qualification, school type and experience. One of the findings revealed that, there is no significant difference between the perceptions of male and female science teachers on continuous assessment etc. The study offers recommendations for targeted professional development, curriculum alignment, standardization, supportive policies and collaborative practices to enhance the perception and practice of continuous assessment among secondary school science teachers. Implementation of these recommendations has the potential to improve the quality of science education and students learning outcomes. Keywords: Perception, Science Teachers, Cognitive, Affective, Psychomotor. Proceedings Citation Format Boris, O.O. Ajogbeje, O.J. & Ekiugbo, U.E. (2022): An Appraisal of the Perception of Continuous Assessment Practice Among Secondary School Science Teachers In Ondo State South/West Nigeria. Proceedings of the 31st Accra Bespoke Multidisciplinary Innovations Conference. University of Ghana/Academic City University College, Accra, Ghana. Pp 147-160 www.isteams.net/ghanabespoke2022. dx.doi.org/10.22624/AIMS/ABMIC2022P30
Response and Recovery Strategies for Disaster Management: a case of National Archives of Nigeria, Ibadan
Authors:   1,2 Department of Data and Information Science Faculty of Multidisciplinary Studies University of Ibadan Ibadan, Nigeria, Ogunsola Kemi , Rufai Bolanle Rukayat
Published: May 2024

The National Archives of Nigeria as a custodian of the nation's cultural heritage needs adequate management strategies to mitigate the effects of disasters. This study investigates response and recovery strategies deployed towards disaster management at the National Archives of Nigeria, Ibadan. The study is survey-based, using a qualitative method of data collection to provide answers to two research questions. Convenience sampling method was used to select a sample size of twentyone respondents from a total of thirty personnel at the National Archives of Nigeria, Ibadan. Face-toface semi-structured interviews were employed for data collection. All interviews were audio-recorded, transcribed, and analysed using NVIVO version 12. Findings revealed that there were no disaster response teams to tackle the occurrence of disasters and that collaboration with other safety agencies was minimal. The study recommends that the Federal Government of Nigeria should show greater commitment to preserving the cultural heritage of the nation by implementing revitalisation of projects that will enable it to achieve its purpose and transform the National Archives of Nigeria, Ibadan to world standard. Keywords: Archives, disaster recovery, disaster management, disaster response, Ibadan, Nigeria, record digitisation Aims Research Journal Reference Format: Ogunsola Kemi & Rufai Bolanle Rukayat (2023): Response and Recovery Strategies for Disaster Management: a case of National Archives of Nigeria, Ibadan. Advances in Multidisciplinary and Scientific Research Journal Vol. 9. No. 4. Pp 1-18. www.isteams.net/aimsjournal. dx.doi.org/10.22624/AIMS/V9N4P1
Semi P-geometric-arithmetically functions and some new related inequalities
Authors: Kadakal Mahir , İşcan İmdat , Kadakal Huriye
Published: May 2024

In this manuscript, the authors introduce the concept of the semi
P-geometric-arithmetically functions (semi P-GA functions) and give their
some algebraic properties. Then, they get Hermite-Hadamard?s integral
inequalities for semi P-GA-functions (geometric-arithmetically convex). In
addition, the authors obtain new inequalities by using H?lder and
H?lder-??can integral inequalities with the help of an identity. Then,
the aouthors compare the results obtained with both H?lder, H?lder-??can
integral inequalities and prove that the H?lder-??can integral inequality
gives a better approximation than the H?lder integral inequality. Also,
some applications to special means of real numbers are also given.
Fixed points theorems for (φ, ψ, p)-weakly contractive mappings via w-distance in relational metric spaces with applications
Authors: Antal Swati , Khantwal Deepak , Negi Smita , Gairola U.C.
Published: May 2024

In this paper, we establish certain fixed point theorems for (?, ?,
p)-weakly contractive mappings on relational metric spaces by using the
notion of w-distance and locally S-transitivity of binary relation. Our
results generalize the results of Alam and Imdad (J. Fixed Point Theory
Appl., 17(4), 693-702, 2015), Senapati and Dey (J. Fixed Point Theory Appl.,
19, 2945-2961, 2017) and many others of the existing literature. Moreover,
we have an application to the nonlinear Fredholm integral equations and some
illustrative examples to reveal the usability of our findings.
Manual de elaboración de productos internacionales para exportación: Coco Harmony
Authors:   Estudiante de la Facultad  de Contabilidad y Auditoría de la Universidad Técnica  de Ambato, Carvajal Solís Joel Alexander , Espin Granizo Michelle Estefanía ,   Estudiante de la  Facultad de Contabilidad y Auditoría de la Universidad  Técnica de Ambato, Moreno Ortiz Jeremy Alexander ,   Estudiante de la  Facultad de Contabilidad y Auditoría de la Universidad  Técnica de Ambato, Pinto Ibarra Jennifer Elizabeth ,   Estudiante de la  Facultad de Contabilidad y Auditoría de la Universidad  Técnica de Ambato
Published: May 2024

Coco Harmony anticipa un aumento del 10% en la demanda global de productos derivados del coco en los próximos 5 años, con una oferta solo alcanzando el 1.8%. Aprovechando las ventajas climáticas y ecológicas de nuestro país en la producción de coco, la empresa planea ingresar al mercado de California, EE. UU., inicialmente, debido a la falta de competencia en productos derivados de coco. Se centrará en jugo y agua de coco, con planes de expansión a otros estados estadounidenses y mercados europeos, incluyendo China. A pesar de competir con grandes productores como Indonesia y Filipinas, Coco Harmony busca un nicho en lugares con poca oferta de productos de coco. La empresa planea mejorar las condiciones de vida de los pequeños agricultores en Manabí y Esmeraldas, estableciendo acuerdos para garantizar un suministro constante y justo de materia prima. Además de ofrecer productos de calidad, como aceite de coco y helado, Coco Harmony aspira a convertir a Ecuador en una potencia mundial en la producción de coco, contribuyendo al desarrollo sostenible y generando empleo. A medida que fortalece su posición en el mercado, la empresa buscará expandirse globalmente, marcando un hito en la historia de la producción de coco y contribuyendo al cambio económico y al bienestar de socios y colaboradores. ​
Assessment of Environmental Risks of a Shallow Water Body during Dredging Works
Authors: Chistyakov A. E. , Kuznetsova I. Yu.
Published: May 2024

Introduction. The increasing anthropogenic impact on water bodies necessitates integrated solutions to assess environmental risks. Literature describes the stages of risk assessment, the possibilities of environmental management, and expert analysis, while risk modeling in this field is being investigated. However, the potential for predicting risks to water quality and biodiversity during frequently performed hydraulic engineering works such as dredging has not been fully explored. The relevance and practical significance of such an approach are evident. This study aims to develop a mathematical model and software package that can assess risks to species diversity of the ecosystem of a shallow reservoir ecosystem during work in its water area.Materials and Methods. The starting point for the simulation was a description of the movement of water masses based on the Navier-Stokes equations and the continuity equation at variable density. We used the diffusion-convection equation to predict the transfer of suspended and dissolved particles, as well as to assess the impact of impurities during eutrophication. To create the algorithm, we utilized the terms and definitions defined by the state standard for risk management in emergency situations.Results. To test the solution, we took data on hydro-mechanical work in the port area of Arkhangelsk. We visualized the concentration fields of suspended particles 0, 15, 30 and 45 minutes after the soil was unloaded. It was found that during the settling of the suspension, the area of its distribution expanded significantly, and this was fully consistent with the data of field experiments during dredging. We calculated and tabulated the volumes of contaminated water at soil dumps in three sites (with a single discharge and in total). To assess the risks to the Sea of Azov, we used the maximum concentrations of pollutant (copper) obtained through measurements, modeling and remote sensing of the Earth. In tests to determine the potential danger of the substance, we assumed that its concentration caused a reaction in 50% of organisms. For fish, the potentially dangerous concentration was 4 mg/l with a duration of 96 hours of exposure. For zooplankton — 50 mg/l and 48 hours. For microalgae, 20 mg/l and 72 hours. The normalized risk value Rn ≈ 0.52 was obtained. The risk of copper concentration of 80 µg/l in the waters of the Azov Sea was recognized as significant. A tendency towards increasing salinity and stratification of water masses in terms of oxygen content has been identified, consistent with the findings of expeditionary research.Discussion and Conclusion. The developed approach has allowed us to assess the change in the quality of the waters of the Azov Sea and describe some transformations of the water area. Specifically, we are talking about the distribution of suspended particles and areas of their deposition. These processes can lead to changes in the bottom topography, which in turn can reduce the species diversity of the ecosystem.
Assessment and Forecasting of Phytosanitary Risks in the Forests of the Irkutsk Region
Authors: Timofeeva S. S. , Tenchikov S. V. , Timofeev S. S.
Published: May 2024

Introduction.Timber export plays a significant role in the budget of the Irkutsk region. To ensure the continued and sustainable use of forest resources, it is essential to implement preventive measures for forest conservation. One such measure is the analysis of phytosanitary risk, which helps to identify potentially harmful insects and determine the likelihood of their introduction and spread, as well as the potential economic consequences. From the perspective of applied riskology, it is necessary to carry out a predictive assessment, calculate the acceptability of risks and develop methods for managing them, combining economic and monitoring approaches. The aim of the presented work was to assess and predict phytosanitary risks in the Irkutsk region and potential damage to forestry and the economy, as well as to develop measures to reduce them.Materials and Methods.For this analysis, we used the results of forest surveys conducted in the Irkutsk region in 2021–2023 with the participation of the authors of this article. These surveys included the identification and detection of harmful insects, as well as the determination of their distribution areas according to GOST 34 309–2017 and the methodology approved by the phytosanitary control authority. Additionally, data from official statistics from the Federal Customs Service of Russia for 2021–2023 were used.Results.We found populations of quarantine pests listed in the Unified List of Quarantine Objects of the Eurasian Economic Union in the forests of Ust-Ilimsky district, such asMonochamus sutor, Monochamus sartor, Monochamus galloprovincialis, Dendrolimus superans. We calculated the phytosanitary risk and assessed the quarantine phytosanitary zone, taking into account the buffer zone.Discussion and Conclusion.The results of the analysis suggest an unfavorable phytosanitary situation in the studied areas. The high infestation of the detected harmful insects in the Ust-Ilimsky district compared to the reference areas indicates the potential for quarantine zones and losses for loggers. To manage phytosanitary risks, it is important to select options that are effective in reducing the spread of quarantine organisms and minimizing risks to an acceptable level. Sanitary logging with timely removal of wind-damaged and fire-affected trees, as well as the use of pheromone traps and biological products, are environmentally friendly options for managing phytosanitary risks.
Use of Artificial Intelligence to Monitor the Reliability of Removable Load-Handling Devices
Authors: Egelsky V. V. , Nikolaev N. N. , Egelskaya E. V. , Korotkiy A. A.
Published: May 2024

Introduction. The malfunction of removable load-handling devices (RLHD) poses significant production risks. That is why research in this field is relevant. The problem has often become a topic of scientific investigation. The authors propose using artificial intelligence more extensively to monitor the state of RLHD. This paper presents a study on how to improve the machine vision model to better identify the absence of locks on RLHD hooks. A probable occurrence of such an issue in production is noted. A storage and monitoring system for RLHD condition is proposed. The aim of this study is to demonstrate the potential for further training of neural networks to significantly enhance the efficiency of RLHD monitoring, ensuring their safe use.Materials and Methods. The work is based on the results of a survey conducted at the LLC “KZ Rostselmash” plant from 2022 to 2023, involving 144 RLHD. Mathematical statistics methods were used to process the data. A neural network model previously trained using the YOLO computer vision algorithm was studied. It was retrained taking into account the norms of the rejection of RLHD, specified in federal rules and standards. Images of RLHD with defects and missing parts were collected from these sources and used to create a training database. The database was expanded by augmentation. The Roboflow platform was used for work.Results. The array of images used for further training of the neural network was divided into three samples: training (88%), validation (8%) and test (4%). These samples were used to train and validate its results. The training was completed after 260 epochs, with a steady increase in accuracy. The neural network model of computer vision obtained in this way automatically detected a common defect in the RLHD hook — the absence of a lock. Its performance was assessed using three indicators: average accuracy (94%), prediction accuracy (88.8%) and response (89.2%). The neural network could receive images from a video camera in real-time and recognize hook defects. During the RLHD inspection at the Rostselmash plant, a grab for lifting engines was found to have all three hooks defective — without locks. To avoid such situations, at the end of work, it was recommended to place the RLHD on a special stand equipped with a microcontroller device that could monitor for a number of potential issues using radio frequency identification.Discussion and Conclusions. The main goal of this proposed solution is to detect and address signs of non-compliance with the established standards. This task can be implemented in facilities that use lifting equipment. In this case, the timely noticed RLHD defects will allow preventing production incidents. As a result, material damage can be reduced and injury statistics improved.
Comparative Analysis of Occupational Injuries Dynamics in Russia and the Republic of Crimea in 2017–2021
Authors: Makaricheva A. A. , Efimova V. M.
Published: May 2024

Introduction. One of the health-saving resources for the working population is the improvement of the occupational safety system and prevention of occupational injuries (OI). Systematic scientific research in this field remains relevant as it helps to understand the interrelationships between the causes and consequences of OI in different sectors of economic activity. In recent years, there has been a lack of research on the structure and dynamics of OI in the Republic of Crimea (RC), and its indicators have not been compared. The aim of this study was to conduct a comparative analysis of Crimean and all-Russian dynamics of occupational injuries over a five-year period from 2017 to 2021 in order to identify trends and develop strategies for improving production safety.Materials and Methods. Methods of systematization of scientific literature on the issue of OI were employed. Statistical data on the state of OI in the Republic of Crimea and the Russian Federation were analyzed and compared. The results were graphically presented in the form of histograms. Additionally, the positions of the republic in the official ratings on compliance with labor legislation were taken into consideration.Results. The analysis of statistics has made it possible to compare the structure and dynamics of OI indicators in the Republic of Crimea with similar data on the national average. Regional differences in occupational injury rates have been identified. In 2017–2021, the number of fatal injuries per 1 000 workers increased in the country, and in Crimea the problem was more acute than in the average for Russia. According to the results for 2021, construction was the most hazardous type of activity in the Crimean region, while mining was the most dangerous one in the Russian Federation. The relative rates of occupational injuries (per 1 000 employees) in the region were lower than the national average. At the same time, the proportion of fatal injuries in Crimea was 1.5–2 times higher than the national average. The highest level of fatal injuries in Crimea was recorded in 2018–2019, likely due to increased construction activity. Injury rates were increasing, while the costs of occupational safety measures were also rising. At the same time, in 2021, the amount of funds allocated to labor protection in Crimea was approximately 1.7 times lower than the similar national average (per employee).Discussion and Conclusion. It is advisable to use data on occupational injuries in the Republic of Crimea to develop scientifically grounded recommendations for improving the regional occupational safety system. These results are partially influenced by the integration of Crimea and are presented in comparison with all-Russian indicators. Therefore, the findings of this scientific work can be applied more broadly when developing a strategy for labor protection in other regions of the Russian Federation.
Atrial Fibrillation Revealing Chronic Constrictive Pericarditis
Authors: Bennoui Zakia , Abdelbaki Mourad
Published: May 2024

Chronic constrictive pericarditis (CCP) is rare, has multiple cause and is diagnosed late due to the absence of specific signs. It often leads to confusion with restrictive cardiomyopathy. The diagnosis can be oriented by a simple chest x-ray which shows pericardial calcifications in the form of a shell enveloping the cardiac silhouette, and confirmed by cardiac Doppler echo, right heart catheterization, and in some cases cardiac computed tomography (CT) and MRI. We report the case of a 27-year-old female patient hospitalized for suspected restrictive cardiomyopathy with atrial fibrillation, which had been developing for several years. The diagnosis of CCP was made in her. Through this case, we will discuss the diagnostic means and management of this pathology.
Physical Treatments for Alleviating Chilling Injury in Fresh produce
Authors: Zainal Putri Wulandari , Syukri Daimon , Suliansyah Irfan , Fahmy Khandra
Published: May 2024

Fresh produce has a short shelf-life because the metabolic activity continues after harvest. Low temperature is one of the postharvest technology methods that suppress this activity along storage. Its effects prolong the shelf-life of fruits and vegetables. This method has long been recommended to reduce deterioration during storage so that it can maintain the quality of fruits and vegetables. However, it still has drawbacks such as chilling injury, especially in tropical and subtropical origins that are chilling sensitive. Therefore, another storage method is needed to alleviate chilling injury such as low-temperature conditioning, high-temperature conditioning, and intermittent warming which only use environmental conditioning during storage. The other one has modified atmosphere packaging and controlled atmosphere packaging. They utilize the ideal atmosphere for each fresh product during storage. The treatment proved that it could alleviate chilling injuries such as reduced pitting, flesh injury, failure of mature, scald, peel browning, weight losses, electrolyte leakage, malondialdehyde, respiration rates, production of superoxide radical anion (O₂-) & hydrogen peroxide (H₂O₂), lipoxygenase activity, phospholipase D, phenylalanine ammonia-lyase (PAL), and polyphenol oxidase (PPO). Keywords: Chilling injury, Fresh produce, Intermittent warming, Low temperature, Physical treatment.
Effects of Interventions on Household Food Security in Ilchamus Ward, Marigat Sub-county, Kenya
Authors: Luvishia Eric Kipyator , Bor Erick K. , Mwangi Wokabi
Published: May 2024

Widespread hunger and malnutrition persist today despite considerable growth in per capita food availability. This has prompted an evolving conceptualization of food security and of mechanisms to attain and maintain food security. Government and Non-governmental organizations are shifting from food relief provisions to diversification intervention strategies at the household level. However, there has been limited literature, especially from a sociological perspective, on the effects of effects of interventions on household food security. The study adopted the descriptive research design, where household experiences were documented using a structured questionnaire. A proportionate stratified sampling method was used to divide the sample of 170 households into 4 locations. The obtained data was analyzed using SPSS v25.0, and the findings were reported using descriptive statistics, including frequencies and percentages presented in tables and charts. The results show that interventions are on nutrition, health, sanitation, education and local knowledge as ways of improving household food security. The study recommends that apart from providing food relief responses, the government, together with food provision stakeholders, should lay out sustainable food policies, implement them, and conduct capacity building with the farmers by arranging and conducting training seminars and sessions to equip the community with appropriate household food security information.
Productivity of Employees within a hybrid Work Ecosystem
Authors:   University of Bolton, UK, Omolambe Juliana Olayemi , Menon Flomny ,   Regents’ college London,UK
Published: May 2024

Purpose of the research: The focus of this study pays critical attention on the new norm in the work environment, investigating how the workplace has change drastically and the employee behaviour has also been influenced by this so-called change. The productivity of employees within the organisation has also taken a new turn. Therefore, investigating the influence, actions and reactions of both the employees and organisations to this change has become extremely pivotal to this study. The literature review of indicated the evolving nature of the topic due to the fact that the topic is somewhat new, adapting sunders research onion explain the methodology. Methodology: This research is quantitative Mono-method and Primary data collection engaged the participation of a sample size of 50 respondents that will include managers and employees. From data collection to analysis, Saunders research onion is adopted to explain in detail, each layer of the onion as applicable the research topic. The research onion may not be perfect but contributes immensely in making holistic decision in research methodology design and details. Findings: This investigation indicated that the introduction of new productivity tools in a hybrid work environment amounted to personal development, effectiveness and growth among employee and management, with work environment being reinvented, motivation, job development and technology. Also, the post-pandemic workplace is more technological and has a very wide depts of new and updated productivity tools in line, calling for more training and of employee to attain efficiency. Implications Practical: The findings of this studies imply that the adoption of new productivity tools promotes job effectiveness of employees, promotes job retention, and build motivated and relevant workforce. Therefore, employees are able to work well under any when they are adequately equipped with the right technology. Conclusions: The study concluded that productivity tools are essential to the productivity of employees and organisational effectiveness. However new technology requires training to enhance the fluidity of employee workflow and keeps the organisation relevant.
The mediating role of risk tolerance in the relationship between behavioural factors of small investors and investment decisions in the saudi stock market
Authors:   Arab East Collage, Saudi Arabia, Abdelnabi Hoda Ahmed Ibraheem , Elmokadem Mostafa Salah Mohamed ,   Arab East Collage, Saudi Arabia
Published: May 2024

The aim of this study was to examine the mediating role of risk tolerance in the relationship between behavioural factors of small investors and investment decisions in the Saudi stock market. A random sample of small investors in the Saudi stock market was selected, with a sample size of 384 investors. Descriptive statistical methods such as mean, standard deviation, and frequencies were used to describe the study variables, and the mediation regression analysis was employed to test the study hypotheses. The main findings of the study revealed that individual investors' risk tolerance acts as a partial mediator in the relationship between behavioural factors and investment decision-making in the stock market. There is a significant relationship between the behavioural factors of small investors and their ability to make investment decisions in the Saudi stock market. Additionally, there is a significant relationship between risk tolerance of small investors and their investment decisions in the Saudi stock market. Based on the study findings, several recommendations were proposed, including the consideration of behavioural factors and risk tolerance of small investors by brokers and financial advisors in the Saudi stock market when providing advice and guidance on financial investments. They should also provide information based on accurate securities analysis to facilitate sound investment decisions in the Saudi stock market.
The role of social media for entrepreneurs to drive financial and sustainability goals: a literature review
Authors:   St. Francis College, New York, U.S.A., Schroeder Katja
Published: May 2024

Entrepreneurs are key drivers for economic development and social change based on the United Nations Sustainability Goals (SDGs). However, entrepreneurs often operate with limited resources and face a high failure rate. Social media platforms give entrepreneurs direct access to stakeholders globally to build a corporate reputation and raise visibility for their business and cause. As entrepreneurs can engage more freely on social media compared to risk-averse leaders of large publicly owned corporations, this offers an opportunity for entrepreneurs to compete with larger organizations and drive change on a global scale. With more entrepreneurs incorporating sustainability as part of their business model, the purpose of this paper is to analyze and discuss how entrepreneurs use social media to drive their company’s financial and sustainability goals. The methodology is a literature review of studies in entrepreneurial marketing, global leadership, and digital brand building to serve as a foundation for future studies. The focus is on micro, small and medium sized enterprises (MSMEs). Literature review findings suggested that a founder-led social media presence can be a competitive advantage for entrepreneurs to build corporate reputation and gain support for sustainable development goals. In addition, entrepreneurs use social media to start and finance their business. However, entrepreneurs are facing an increasingly fragmented social media landscape which makes it more challenging to select the best channels to engage stakeholders across different regions. More research is needed on emerging social media channels in Africa, Asia-Pacific, Europe, Middle East, and South America.
Managerial approaches to blockchain technology adoption in the rail freight sector: An emerging market perspective
Authors:   University of Johannesburg, Department of Transport and Supply Chain Management, South Africa, Khitsane Khampepe , Nabee Sumayah ,   University of Johannesburg, Department of Transport and Supply Chain Management, South Africa, Makan Hemisha ,   University of Johannesburg, Department of Transport and Supply Chain Management, South Africa
Published: May 2024

Modern supply chains demand adaptability driven by the globalization of production and markets, the fourth industrial revolution (4IR) and recent events such as the unexpected closure of the Suez Canal, the Russia-Ukraine war, and the Covid-19 pandemic. Investing in digital supply chain technologies boosts end-to-end visibility, mitigates risk, and improves the resilience of supply chains. Many disruptive technologies are currently changing the business landscape in Africa. However, Africa has traditionally been an adopter rather than a pioneer of technologies for business development. Although there has been an increase in the use of blockchain technology in various industries, there is still a challenge of understanding how the technology can be applied in the South African rail supply chain context. Thus, it is crucial to investigate how managers perceive the technology and how this understanding affects the decision to use the technology in the rail freight Container Corridor. A gap exists between the understanding, organizational support and benefits of the technology and its application within the corridor. A case study approach was utilized to collect primary data obtained through a structured self-administered survey questionnaire. The main findings of the study were that the understanding of blockchain influenced managers perceptions and willingness to adopt the technology. While the railway operator was committed to implementing blockchain, other operational constraints and inefficiencies still present on the corridor were impediments to further investigation. Furthermore, potential benefits and challenges, costs and resources required as well as the impact on current operations and workings were highlighted by management as important decision-making factors. The study provides valuable insights into disruptive technologies applications within the transport supply chains. It substantiates the significance of how managers view blockchain as a technology to address various challenges as well as enhance operations within the South African freight rail sector.
The impact of Artificial Intelligence on E-commerce supply chain sector in achieving cost efficiency and economic growth: A business and economics perspective
Authors:   University of Bolton, UK, Saginala Kripalini , Menon Flomny ,   Regent College London, UK
Published: May 2024

The study aims to find how much cost effectiveness is achieved when e-commerce supply chain operations use automation and AI technologies. therefore,ing technology of AI and its models have essentially proved to be impactful in making data driven decisions by the organisations gaining leverage in productivity and profit sustainability in a way that the companies achieve competitive advantage therefore creating sustainable value propositions from business and economics perspective. Aim/Purpose The aim of the paper is to explore the positive relationship between AI technologies and productivity levels in the e-commerce supply chain sector through achieving cost effectiveness and economic growth. Methodology/Approach The study focussed on reviewing literature on how Artificial Intelligence driven technology can optimise various supply chain functions within e-commerce sector. Solow-Swan growth model has been applied to investigate the value AI creates in utilising capital, labour input to achieve output growth. Positivist approach that allowed for objective observation and independent conclusions has been adopted. For primary data, quantitative methodology is used through survey questionnaires to gather data from a sample of 206 employees, managers, data analysts in e-commerce supply chain sectors. Findings The findings from the secondary sources inform that the use of AI and automation in the e-commerce industry leads to a high rate of productivity in terms of reducing costs and promoting economic growth. The primary research methods, through survey questionnaires collects real-time data that helps achieve quantifiable and measurable values to conclude that AI-led technology can increase productivity and competitive advantage as it saves cost while increasing productivity and overall economic input. Descriptive statistics of measures of central tendency were used to present findings in simpler, presentable way followed by interpretations of the data in percentages. Practical implications Managers and decision-making directorial board members have important lessons to learn from these findings as the quantifiable values may give them an insight into how much capital investment should be allocated for AI technologies and how predictive analytics and data analysis can accelerate their service towards becoming customer centric. Significant strategic planning and implementation of resource management can lead to higher rates of productivity profitability and eventually higher economic growth.
Using business analytics tools to boost Saudi business performance
Authors:   Operations and Project Management Department, College of Business, Alfaisal University, Riyadh, Kingdom of Saudi Arabia, Lahyani Rahma , Alhammad Aljuharah ,   Operations and Project Management Department, College of Business, Alfaisal University, Riyadh, Kingdom of Saudi Arabia, Alyahya Sarah ,   Operations and Project Management Department, College of Business, Alfaisal University, Riyadh, Kingdom of Saudi Arabia
Published: May 2024

This research studies the adoption of business analytics tools to improve business performance and operational efficiency in Saudi Arabia. The sample size considered includes 50 companies of different sizes and operating in different business sectors (consulting, manufacturing, food and beverages, retail, etc). The regression analysis confirms the positive correlation between the use of business analytics tools and enhancing business performance in the Saudi market. This finding supports the pervasive spread of business analytics in the business sector.
Rynek usług leasingowych w Polsce w latach 2017-2022
Authors: Bolek Julia
Published: May 2024

W niniejszym artykule omówiono dodatkowe, zewnętrzne źródło finansowania działalności i rozwoju sektora przedsiębiorstw w Polsce, jakie stanowi leasing. Praca koncentruje się na rynku usług leasingowych w Polsce w latach 2017-2022. Przedstawione dane ilustrują dynamiczne zmiany w finansowaniu pojazdów, maszyn i nieruchomości. W kontekście leasingu pojazdów lekkich, analizie poddano wpływ zmieniających się trendów mobilności oraz rosnących oczekiwań dotyczących zrównoważonego transportu. Podkreślono konsekwencje zmian prawnych z 2018 roku na rynek leasingu pojazdów ciężkich oraz znaczenie leasingu w finansowaniu maszyn i urządzeń, ukazując czynniki wpływające na sektor maszynowy. Analizując rynek leasingu nieruchomości, zwrócono uwagę na wahania wartości w różnych kategoriach nieruchomości i ich zależność od czynników ekonomicznych. Artykuł przedstawia istotną kwestię elastyczności sektorów leasingowych, ukazując ich zdolność płynnej adaptacji do dynamicznie zmieniających się warunków rynkowych w Polsce.
Pengaruh Konsentrasi Hara terhadap Pertumbuhan Selada (Lactuca sativa L.) pada Media Rockwool
Authors: Suharjo Suharjo
Published: May 2024

Fenomena keterbatasan lahan pertanian menuntut penggunaan teknik budidaya tanaman yang benar-benar mandiri dari lahan pertanian biasa seperti penggunaan sistem hidroponik.  Penelitin bertujuan untuk mengkaji pengaruh nutrisi terhadap pertumbuhan tanaman selada secara hidroponik dan berapa takaran nutrisi yang dapat memberikan pengaruh secara signifikan  terhadap pertumbuhan dan hasil tanaman lada secara hidroponik. Penelitian dilaksanakan pada Bulan Oktober sampai Desember 2021 di Kebun Percobaan Fakultas Pertanian Unilaki Sulawesi Tenggara. Variabel pengamatan yaitu tinggi tanaman, jumlah daun, luas daun, dan berat segar tanaman. Data yang diperoleh diuji dengan analisis varians dilanjutkan dengan uji BNT 5%.  Hasil penelitian menunjukan bahwa uji BNT 5% terhadap perlakuan konsentrasi nutrisi pada semua paramater yang diukur menunjukkan perbedaan yang nyata. Kesimpulan dari penelitian menunjukkan adanya pengaruh nyata dari pemberian nutrisi terhadap pertumbuhan tanaman selada secara hidroponik dari berbagai parameter yaitu tinggi tanaman, jumlah daun, luas daun, dan berat segar tanaman. Takaran terbaik adalah pemberian nutrisi dengan konsentrasi 1000 ppm dibandingkan dengan takaran nutrisi lainnya yang dicobakan (900 ppm, 800 ppm, dan 700 ppm).
Pengaruh Kombinasi Pupuk Organik dan Anorganik terhadap Sifat Fisik dan Kimia Tanah serta Produksi Padi pada Lahan Kering yang Disawahkan
Authors: Putra Rizky Eka , Rayes Mochtar Lutfi , Kurniawan Syahrul , Ustiatik Reni
Published: May 2024

Lahan kering yang disawahkan memiliki proses pelumpuran dan penggenangan yang menyebabkan perbedaan kondisi sifat fisik tanah sehingga menurunkan kesuburan tanah, salah satunya yaitu kerusakan struktur tanah. Upaya untuk meningkatkan kesuburan tanah pada lahan tersebut dapat dilakukan dengan meningkatkan C-Organik, salah satunya yaitu aplikasi pupuk organik (asam amino dan asam humat). Aplikasi pupuk organik yang dikombinasikan pupuk anorganik dengan dosis yang tepat juga berpotensi untuk memperoleh produksi tanaman yang optimal. Tujuan penelitian ini yaitu untuk menganalisis perbedaan karakteristik tanah pada lahan kering yang disawahkan serta menganalisis pengaruh pemberian kombinasi pupuk organik dan anorganik terhadap kesuburan tanah dan produksi padi pada lahan kering yang disawahkan. Penelitian dilakukan di Kebun Percobaan Jatimulyo, Universitas Brawijaya. Penelitian ini menggunakan rancangan acak kelompok (RAK) dengan 9 perlakuan dan 3 kali ulangan. Parameter yang diukur yaitu pH, C-Organik, kapasitas tukar kation (KTK), Kdd, kejenuhan basa, berat isi, tekstur, jumlah anakan produktif, dan berat gabah kering panen. Hasil penelitian menunjukkan terdapat perubahan sifat fisik dan kimia tanah akibat perubahan pengolahan dari lahan kering menjadi lahan sawah. Aplikasi pupuk organik dan anorganik memberikan pengaruh nyata terhadap sifat kimia seperti pH, C-Organik, N-total, P-tersedia, Kdd dan KTK. Aplikasi pupuk organik dan anorganik juga meningkatkan produksi padi sebesar 39-59% dengan perlakuan dosis terbaik yaitu 75% pupuk dasar anorganik + 100% pupuk organik.
Metodologías Activas con Inteligencia Artificial y su relación con la enseñanza de la matemática en la educación superior en Chile. Estado del arte
Authors: Silva Acuña Maritza , Correa Rojas Rodrigo , Mc-Guire Campos Pamela
Published: May 2024

El siguiente artículo presenta una revisión del estado del arte de las metodologías activas con inteligencia artificial y su relación con la enseñanza de la matemática en la educación superior en Chile. La investigación se realizó con el propósito de conocer la implicancia de la inteligencia artificial en conjunto con las metodologías activas y como estas aportan de manera positiva en la enseñanza y aprendizaje de la matemática.  Se utiliza un enfoque cualitativo y de modalidad no experimental, acudiendo a la revisión documental, a través del método Prisma, específicamente en publicaciones de artículos y revistas científicas relacionadas con el tema presente desde el año 2019 a la fecha. La investigación se dividió en tres etapas, la primera consistió en la búsqueda de publicaciones académicas. En la segunda etapa se desarrolló un proceso de inclusión y exclusión de los artículos académicos e investigaciones. Y como etapa final, se consideró aquellas investigaciones que cumplieron los criterios establecidos en la etapa anterior. Los resultados evidencian que la combinación de la inteligencia artificial con metodologías activas puede transformar significativamente la forma en que se aprende, trabaja y colabora mejorando la eficiencia, la personalización y la calidad de la experiencia educativa en la educación matemática.
Entre humanos y algoritmos: percepciones docentes sobre la exploración con IAG en la Enseñanza del Nivel Superior
Authors: Andreoli Silvia , Perillo Luciana , Aubert Elsa , Cherbavaz María Cecilia
Published: May 2024

Este estudio explora las percepciones de la Inteligencia Artificial Generativa (IAG) entre docentes de educación superior, utilizando una metodología cualitativa para profundizar en las oportunidades y desafíos que presenta esta tecnología emergente. Los hallazgos destacan el potencial de la IAG para repensar las prácticas pedagógicas en la enseñanza superior, al tiempo que revelan inquietudes en torno a cuestiones éticas y de integridad académica. Asimismo, se enfatiza la importancia de la formación docente continua y la generación de espacios de reflexión colectiva para repensar las prácticas de enseñanza en la universidad. El estudio apunta a la necesidad de un abordaje situado y colaborativo, que reconozca tanto las oportunidades como las implicaciones complejas que conlleva la incorporación de herramientas de IAG en la educación superior contemporánea.