Stock Management Research Articles

Analysis of the Mediating Effect of Macroeconomic Factors on the Relationship between Dividend Policy and Stock Return in Nairobi Securities Exchange in Kenya

Stock Indices are designed to gauge market performance and guide investors in making investment decisions, especially in stock portfolio mix and management. Dividend Policy is an important finance function; organizations need to decide how to distribute dividends and how much dividends to retain and be ploughed back into the business. Between 2009 and 2018, the Nairobi Securities Exchange depicted erratic performance in making investment decisions during the financial crisis and volatility of the securities exchange. This study, therefore, sought to investigate the mediating role of macroeconomic factors on the relationship between dividend policy and stock return in Nairobi Securities Exchange to help investors make decisions amidst the erratic performance of the burse. The study employed longitudinal times series study regression analysis and used structural equation modeling (SEM) to assess mediation relationships. Results revealed that macroeconomic factors mediate the relationship between dividend policy and stock return; interest rate fully mediates the relationship between dividend per share, payout ratio, and stock return (p=0.00) and partially mediates the relationship between dividend yield and stock return (P=0.00). Inflation fully mediates the relationship between dividend per share, payout ratio, and stock return (p=0.00) and partially mediates the relationship between dividend yield and stock return (p=0.00). Gross Domestic Product does not mediate the relationship between dividend yield, payout ratio, dividend per share, and stock return (p= 0.76), (p=0.91) and (p=0.90), respectively.

Estimating age and growth parameters for three commercial NE-Atlantic sea cucumbers, Holothuria mammata, H. forskali and H. arguinensis, in a marine protected area

Sea cucumbers, integral components of benthic ecosystems, have become subjects of scientific scrutiny owing to their intricate morphology and ecological importance. Due to increasing demand, several species of these echinoderms have become overexploited. As a consequence, NE-Atlantic species became new targets for the international markets. There is a vital need for comprehensive biological data to establish and enhance holothurian fisheries management. In the absence of such data, there is a risk of ineffective fisheries regulations, particularly for susceptible commercial species in the NE-Atlantic, which could lead to overexploitation. Establishing effective fisheries regulations requires a foundation of fundamental biological information, such as growth rates from target populations. This work aims to determine the growth parameters for three commercial sea cucumber species from the NE-Atlantic, in a marine protected area, Holothuria mammata, H. forskali and H. arguinensis. This presents a challenge, as sea cucumbers lack significant calcified structures for age determination, and assessing size is complicated because of their body size plasticity. Thus, a von Bertalanffy model was fitted to length-frequency data using the ELEFAN method with the simulated annealing procedure. Underwater length measurements of the three sea cucumber species, in a relaxed state, were systematically recorded over a span of 18 months, with measurements taken every 1.5 months. The results provide the growth parameters of each species. Models considering seasonal growth were better fits to the data. The three species had different growth rates and periods of no growth coincided with the reproductive season. Mortality was lower for the species growing slower. This is crucial information to support decision-making processes regarding stock management, such as setting limits to fisheries considering stock condition associated with environmental variability.

Medicine demand forecasting: an assessment of a private hospital in Pernambuco

The efficient management of materials in the healthcare sector is crucial to avoid interruptions in the treatment of hospitalized patients, especially when demand is unpredictable and based on criteria of criticality, urgency and clinical status. In complex hospital environments with high-cost materials, demand forecasting becomes essential. This study aimed to compare demand forecast models for medicines used in the urgency and emergency sector of a private hospital in the Agreste Pernambucano. The methodology involves the selection of items and data collection using the company's information system. The ABC analysis identified 27 highly relevant drugs, and different models were tested, including experience-based parameters and hyperparameter optimization. The forecasts covered the period from January to November 2023. The results indicated the Holt-Winters Additive model as most suitable for 21 medications, Holt-Winters Multiplicative for 3, and ARIMA for the others, standing out for its precision. This study strengthens decision-making in the management of medication stocks, improving demand management and ensuring continuous treatments for patients.

Evaluation of Vaccine Stock Management at the Karanganyar Regency Health Service Indonesia

Vaccines are very susceptible to damage, so vaccine management requires special handling, this is done to maintain vaccine quality. The aim of this research is to find out the description and evaluate suitability vaccine management at the Karanganyar Regency Health Service (DKK) in 2022 based on Minister of Health Regulation No. 12 of 2017. This research is a qualitative descriptive non-experimental research. These research methods cross sectional by using approach, observation or data collection. The sampling technique uses accidental sampling by reviewing and evaluating vaccine management, which includes planning, procurement, receipt, storage, and distribution at the Karanganyar Health Service. The method used for data collection uses checklist suitability and in-depth interviews with the Head of Installation and pharmacy officers. Vaccine planning is adjusted to the usage index and needs in the previous year using a combined method system top to bottom and bottom up. Vaccine procurement is centralized at the Provincial Health Service, where requests are made by method bottom up. Receiving the vaccine is not immediate drop from the center/province, but the Karanganyar DKK takes the needed vaccines to the Provincial Health Service using the provisions for good drug distribution methods. Vaccine storage and distribution at DKK Karanganyar is in accordance with Minister of Health Regulation number 12 of 2017 and also in accordance with vaccine management guidelines from the Ministry of Health in 2021. Vaccines at DKK Karanganyar are in accordance with Minister of Health Regulation number 12 of 2017 and also in accordance with vaccine management guidelines from the Ministry of Health in 2021, both in planning, procurement, receipt, storage and distribution.

Evaluation of Vaccine Stock Management at the Karanganyar Regency Health Service Indonesia

Vaccines are very susceptible to damage, so vaccine management requires special handling, this is done to maintain vaccine quality. The aim of this research is to find out the description and evaluate suitability vaccine management at the Karanganyar Regency Health Service (DKK) in 2022 based on Minister of Health Regulation No. 12 of 2017. This research is a qualitative descriptive non-experimental research. These research methods cross sectional by using approach, observation or data collection. The sampling technique uses accidental sampling by reviewing and evaluating vaccine management, which includes planning, procurement, receipt, storage, and distribution at the Karanganyar Health Service. The method used for data collection uses checklist suitability and in-depth interviews with the Head of Installation and pharmacy officers. Vaccine planning is adjusted to the usage index and needs in the previous year using a combined method system top to bottom and bottom up. Vaccine procurement is centralized at the Provincial Health Service, where requests are made by method bottom up. Receiving the vaccine is not immediate drop from the center/province, but the Karanganyar DKK takes the needed vaccines to the Provincial Health Service using the provisions for good drug distribution methods. Vaccine storage and distribution at DKK Karanganyar is in accordance with Minister of Health Regulation number 12 of 2017 and also in accordance with vaccine management guidelines from the Ministry of Health in 2021. Vaccines at DKK Karanganyar are in accordance with Minister of Health Regulation number 12 of 2017 and also in accordance with vaccine management guidelines from the Ministry of Health in 2021, both in planning, procurement, receipt, storage and distribution.

NStock: notified stocks management system for food and beverages industry

The development of a web-based stock management system aims to provide effective control over sales and stock levels for the food and beverage industry. The web-based application provides a platform for staff members and business proprietors to effectively modify and manage data related to stock and transactions. However, it is apparent that bakery enterprises exhibit a shared approach in their stock management procedures. The baker has a responsibility to manually update the stock availability on the WhatsApp group following each production. In order to maintain continuous production, it is imperative for management to take proactive measures by initiating the procurement of fresh stock from the vendor when the existing stock nears depletion. One potential resolution is the implementation of a streamlined stock management system that effectively addresses the needs of both bakers and managers. The objective of this project is to meet the demand for effective stock management among bakery store owners by offering a user-friendly and dependable system. The nStock system has been intentionally developed with the objective of effectively overseeing the procurement of raw materials from suppliers and accurately tracking the stock allocated for bakery production. The solution aims to employ Telegram bot services as a mechanism for alerting the management in the event that the stock levels fall below the predetermined reorder threshold. The approach employed by the project is in accordance with the Waterfall Model of System Development Life Cycle (SDLC). A functionality test is conducted prior to implementation in order to verify its compliance with the specified design and functional requirements. Notably, each participant provided the system with a "pass" rating, indicating its successful functioning and meeting their expectations.

Comparison of Min-Max and EOQ Methods in Web-Based Stock Management Information System

Warehouse stock management is very important for the sustainability of a business, especially building stores that have a lot of goods. Many problems occur in the absence of stock information management in a business. This happens at Pelita Building Store which has a lot of goods so it is very difficult for the owner to decide which items to stock based on priority. This study aims to help business owners to carry out stock management by comparing two inventory methods, namely the Economic Order Quantity (EOQ) and Min-Max methods. The comparison is carried out with the aim of determining the most optimal method that can be used for stock management in the building shop business case. This research uses a system development method by adopting the prototype method. This research was tested by conducting blackbox and accuracy testing. The results of this study based on blackbox testing stated that the features in the application function properly and can be used for stock management. In addition to black box testing, accuracy testing is also carried out. Accuracy testing is done by comparing the data from the information system calculation with the data from the manual calculation. After comparison, an accuracy of 100% is obtained, thus it can be concluded that this application can be used to help shop owners determine priority stock and the most accurate method is to use the EOQ method

Pelatihan Website Manajemen Barang dan Keuangan Pada Usaha Meka Tailor di Desa Saba

Mrs. Nyoman Mekawati, a skilled seamstress who operates in the Saba Village area, Gianyar Regency. He has been in this business for approximately three years. During this period there were several obstacles, one of which was regarding the management of fabric stocks. The fabric stock owned is placed in boxes or sacks. When they receive an order, partners sometimes buy more fabric but it turns out there is still fabric stock that can be used. Sometimes partners forget to buy the fabric at the same price and charge the same price for fabrics of different prices. The aim of this service activity is to create a website-based goods and financial management information system owned by Meka Tailor. Furthermore, website training on goods and financial management was held for tailor businesses. From the service activities carried out, a website-based goods and financial management information system has been successfully built and can help partners in managing stock of goods and also monitoring their business finances. Partners also feel helped by the system that was built along with training in using the system.

Use Case Diagram for Enhancing Warehouse Performance at PT. MDA Through the Implementation of 5S, Economic Order Quantity, Safety Stock, and Warehouse Management System

An industrial water pump importing company relies on a network of distribution warehouses to efficiently manage the storage and delivery of its products to clients. This paper delves into the operational intricacies of the company, with a primary focus on sustaining a superior level of service to meet customer demands, all while attempting to minimize costs and achieve optimal inventory control. The central aspects explored in this research encompass the meticulous determination of the number of pipes needed and the optimal ordering times. To address this, the Probabilistic Economic Order Quantity (EOQ) method is used and supported by 5S concept, recognized for its ability to provide reasonably accurate estimates crucial for pivotal decision-making in inventory management. The utilization of the Probabilistic EOQ method in this context reflects the company’s commitment to adopting sophisticated and proven methodologies to enhance decision-making accuracy and the warehouse area is more suitable by the 5S implementation principles. The research outcomes not only assist in refining the determination of Safety Stock levels but also contribute valuable insights into the precise quantities of goods that should be ordered. This strategic approach aligns with the company’s overarching goal of achieving cost-efficiency without compromising on the ability to efficiently meet customer demands. These upcoming insights could encompass innovative strategies, technological implementations, or advances in supply chain optimization.

PENDAMPINGAN PRAKTEK PEMBUKUAN AKUNTANSI MENGGUNAKAN APLIKASI RANDU POS & AKUTANSI UKM PERABOTAN NASYWA DI JAKARTA SELATAN

This study evaluated the impact of bookkeeping assistance using the Randu Pos application on furniture SMEs in South Jakarta. The results noted improved efficiency in daily record-keeping and sales processes, as well as significant accuracy of financial data. The mentoring also successfully improved furniture stock management, reducing human error. Despite initial challenges, the SME owners experienced immediate benefits, while the trainees developed practical skills. Recommendations for further training were made based on the positive feedback. Overall, the mentoring contributed to the efficiency and accuracy of furniture SME bookkeeping in the digital age. Assistance in accounting bookkeeping practices using the Randu Pos application and furniture SME accounting can help improve efficiency and accuracy in the financial recording of furniture SMEs.

Development of Mobile QR Warehouse Management Apllication Based on Flutter and Firebase

Since the Covid-19 pandemic took place, the number of MSMEs (Micro, Small and Medium Enterprises) has increased. Running a good business requires good product management to minimize losses that occur due to errors in product management. This research aims to increase the efficiency of the product management process with the QR Scanner feature which can make things easier for MSME owners. This research was designed through various needs gathering steps which included literature studies, surveys and competitor analysis. The results of the research are an Android and iOS based mobile application called QRHouse. The testing methods used include User Acceptance Test, User Interface Survey, UI Evaluation with 8 Golden Rules, UX Evaluation with 5 Measurable Human Factors. The results of the research were achieved when the application developed succeeded in increasing efficiency in product stock management

Boosted efficiency and unsaturated material stock growth in China's megacities: Accelerating as urbanization approaches 80 %

Buildings, infrastructure, and durable goods are essential for human activities. Understanding their relationship with socioeconomic development is crucial for optimizing resource allocation in urban settings, thereby enhancing efficiency and lessening environmental impact. This study delves into the urban material stock evolution in China's megacities, spanning 111 distinct end-use stocks. From 1978 to 2018, in-use stocks witnessed a substantial surge, increasing from a modest <350 Mt to an astounding 819–3130 Mt across cities—an average annual growth rate ranging from of 4.7 to 15.2 %. This growth was paralleled by improvements in stock productivity, associated with reductions in CO2 emissions by 154–505 Mt and conservation of significant amounts of energy and food resources. As urbanization approaches the 80 % mark, a mere 1 % rise results in considerable increments of 13.5, 1.9, and 0.6 t in per capita stocks of buildings, infrastructure, and durable goods. Our results shed light on strategies for resource circulation, stock management, and sustainable urban future trajectories.

Pengaruh Pertumbuhan Laba, Leverage, Profitabiilitas, Likuiditas Terhadap Kebijakan Dividen

Dividend policy is a measure of the stability of a company's stock management by determining the proportion of dividends that balances the growth of the company and the welfare of investors. The purpose of this study is to determine the impact of earnings growth, leverage,profitability,liquidity on dividend policy. This study uses data on the financial reports of manufacturing.companies in the food and beverage subsector from 2019-2022. In this study, the sample was selected using purposive sampling techniques and criteria to obtain 48 data from 14 companies. The.method used in this study consists of several linear regression techniques to analyze the relationship between independent and dependent variables. The results of this study show that the variable earnings growth has a significant negative impact on the dividend policy, the variable leverage (DER) has no effect on the dividend policy, and the variable profitability (NPM) has a significant negative impact on the dividend policy has been shown to have a significant positive impact on Impact on dividend policy and liquidity variable (CR) has no effect on dividend.policy The level of a company's ability to pay dividends is an investment signal for investors. Therefore, companies need to maintain their ability to generate profits and manage leverage. Failure to manage this will have a negative impact on the company itself, reducing its ability to pay dividends. Investors also need to be more careful, such as observing company signals, before investing in a company.

Mobile Stock Information System Using the Waterfall Method

Efficient inventory control is a crucial aspect of the retail sector, particularly in the electronics industry, such as mobile phones. This study aims to assess the efficacy of the Waterfall methodology in developing a mobile stock management system that is both efficient and dependable. This study employs a qualitative methodology, gathering data from multiple mobile phone retail shops that have adopted the Waterfall method for developing a stock management system. The collected data encompasses the progression through development stages, encountered restrictions, time duration, and attained outcomes. The data is studied to ascertain the strengths and shortcomings of the Waterfall technique in the specific context of controlling cellphone stock. The research findings demonstrate that the Waterfall technique offers a well-defined framework for creating a stock management system. Delineated phases, such as requirements analysis, design, implementation, testing, and implementation, aid firms in effectively overseeing projects with a disciplined and quantifiable approach. Furthermore, the Waterfall technique enables firms to gain a comprehensive perspective of the project from initiation to completion. Nevertheless, this study also pinpointed certain shortcomings in implementing the Waterfall technique. One drawback is the need for adaptability in handling evolving requirements or enhancements that may emerge during the development process. Hence, companies must meticulously evaluate the worthiness of accommodating these alterations. Based on this study, it is determined that the Waterfall technique can be a very efficient strategy for developing a mobile phone stock management system, mainly when the specific objectives and requirements have been adequately established. However, companies must consider the possibility of evolving requirements and be open to modifying the development process as necessary. This research offers valuable insights to firms in selecting a development approach that aligns with their specific context and business requirements

Implementation of the ROP (Reorder Point) Algorithm on the Parts Stock Management Information System at PT Indako Trading Coy Web based

Implementation of the ROP (Reorder Point) Algorithm on the Parts Stock Management Information System at PT Indako Trading Coy Web based

STRATEGI BISNIS OLEH-OLEH KHAS KENDARI DALAM MENINGKATKAN DAYA SAING DI KOTA KENDARI

In general, companies strive to meet consumer expectations, by building trust in a long-term relationship between the company and its customers. Looking at the current conditions, the increasing number of souvenir shops in the Kendari area could be a threat to the Kendari Souvenir Shop Typical Kendari Souvenirs and in the future, there will be shops that provide the same products and food as the Oleh Shop. -by Kendari Souvenirs Typical of Kendari. Therefore, the Kendari Typical Souvenir Shop, which is located right in a strategic area in the middle of Kendari City, must increase its competitiveness and implement or prepare a business strategy that is superior to its competitors and must be more careful in reading and anticipating market conditions and creating products that are superior to those of its competitors. quality. This research uses descriptive qualitative research methods. The research results show that the Kendari Souvenir Shop uses operational strategies to improve the management of goods, stock and product quality. Kendari Typical Souvenir Shop competes by emphasizing product excellence, satisfying customer service, and in-depth recognition of consumer tastes. They always provide innovation in products and services to maintain market position and increase consumer satisfaction.

The Impact of EG and DEG Cases on Sales of Over-The-Counter Syrup

The Indonesian Food and Drug Authority (BPOM) investigated and listed safe and unsafe syrup products in response to the contamination of Ethylene Glycol (EG) and Diethylene Glycol (DEG), causing Acute Kidney Injury in pediatric patients. Unsafe products were recalled and removed from distribution, leading to uncertainty and panic among the public and significantly impacting over-the-counter syrup sales in several pharmacies. This retrospective observational study assessed the impact of EG and DEG contamination on the sales of over-the-counter syrup in Pharmacy X in South Denpasar. Data from three months before (August to October 18th, 2022) and three months following the official instruction was published (October 19th, 2022 to December 2022) were analyzed using Wilcoxon test. The findings reveal a staggering decline in the sales of over-the-counter syrup by 35,03% (p-value of 0.03). Moreover, there was a notable increase of prescriptions in powder forms. The contamination cases caused panic, resulting in changes in behavior and consumption patterns. Despite the availability of safety information on an official website, public hesitance toward syrup products persists, indicating the need to implement a more effective strategy to address misinformation and restore public trust. Each individual must be responsible for educating the public during crises to prevent the spread of misinformation, ultimately restoring trust and normal consumer behavior. Furthermore, efficient stock management should be implemented to anticipate potential health crises in the future proactively.

Sistem Informasi Manajemen Stock Barang Menggunakan Metode Fefo

The development of information technology is currently growing rapidly. Many organizations and companies have implemented computerized and structured information systems to support their work. However, there are still business sectors that have not yet implemented a computerized information system, such as the bakery in Tambaksari, namely Box Cakes and Pastry, which still carries out its work manually in recording stock of goods and checking the expiration date on each item displayed. at the shop, The final result of this research is a stock management information system in which stock data recording and checking is no longer done manually but instead uses a computerized system. This system will sort expiration dates automatically by applying the FEFO method, then this system will display notifications / reminders for employees working at Box Cakes and Pastry to make it easier to find out items that are approaching their expiration date.

ASCF: Optimization of the Apriori Algorithm Using Spark-Based Cuckoo Filter Structure

Data mining is the process used for extracting hidden patterns from large databases using a variety of techniques. For example, in supermarkets, we can discover the items that are often purchased together and that are hidden within the data. This helps make better decisions which improve the business outcomes. One of the techniques that are used to discover frequent patterns in large databases is frequent itemset mining (FIM) that is a part of association rule mining (ARM). There are different algorithms for mining frequent itemsets. One of the most common algorithms for this purpose is the Apriori algorithm that deduces association rules between different objects which describe how these objects are related together. It can be used in different application areas like market basket analysis, student’s courses selection process in the E-learning platforms, stock management, and medical applications. Nowadays, there is a great explosion of data that will increase the computational time in the Apriori algorithm. Therefore, there is a necessity to run the data-intensive algorithms in a parallel-distributed environment to achieve a convenient performance. In this paper, optimization of the Apriori algorithm using the Spark-based cuckoo filter structure (ASCF) is introduced. ASCF succeeds in removing the candidate generation step from the Apriori algorithm to reduce computational complexity and avoid costly comparisons. It uses the cuckoo filter structure to prune the transactions by reducing the number of items in each transaction. The proposed algorithm is implemented on the Spark in-memory processing distributed environment to reduce processing time. ASCF offers a great improvement in performance over the other candidate algorithms based on Apriori, where it achieves a time of only 5.8% of the state-of-the-art approach on the retail dataset with a minimum support of 0.75%.

Rejection sampling and agent-based models for data limited fisheries

Many of the world’s fisheries are “data-limited” where the information does not allow precise determination of fish stock status and limits the development of appropriate management responses. Two approaches are proposed for use in data-limited stock management strategy evaluations to guide the evaluations and to understand the sources of uncertainty: rejection sampling methods and the incorporation of more complex socio-economic dynamics into management evaluations using agent-based models. In rejection sampling (or rejection filtering) a model is simulated many times with a wide range of priors on parameters and outcomes are compared multiple filtering criteria. Those simulations that pass all the filters form an ensemble of feasible models. The ensemble can be used to look for robust management strategies, robust to both model uncertainties. Agent-based models of fishery economics can be implemented within the rejection framework, integrating the biological and economic understanding of the fishery. A simple artificial example of a difference equation bio-economic model is given to demonstrate the approach. Then rejection sampling is applied to an agent-based model for the hairtail (Trichiurus japonicas) fishery, where an operating model is constructed with rejection/agent-based methods and compared to known data and analyses of the fishery. The usefulness of information and rejection filters are illuminated and efficacy examined. The methods can be helpful for strategic guidance where multiple states of nature are possible as a part of management strategy evaluation.