Increase In Profit Research Articles

Non-linear dynamics of global liquidity and energy sector profitability

ABSTRACT This study examines how global liquidity influences the profitability of companies in the energy sector using a non-linear approach. Applying Functional Principal Component Analysis (FPCA) to sparse data, we reconstruct the profitability history of 497 energy companies in various subsectors, including coal, oil and gas, oil and gas-related equipment and services, renewable energy, and uranium. We use a Distributed Delay Nonlinear Model (DLNM) to estimate the impact of global liquidity on profitability. Our results reveal distinct nonlinear patterns in the response of these subsectors to changes in global liquidity. For example, in the oil and gas subsector, an extreme quantile (99%) of global liquidity is associated with a significant 5.19% increase in profitability in the first quarter after the shock. In contrast, in the renewable energy subsector, a lower quantile (25%), corresponding to a moderately downward trend, is associated with a 0.73% increase in profitability over the same period. These finings are crucial to improving risk management, investment and policy development strategies within the energy sector, offering a deeper understanding of the dynamics in the global financial and economic landscape.

The pension system of Kazakhstan: savings analysis, review of investment portfolio and prospects for profitability increase

The article considers the pension system of the Republic of Kazakhstan as the most important element of the system of social protection of the population and a major investment player in the market, which is responsible for the safety of pension savings of the population. Consequently, it is necessary to constantly monitor the quality of pension provision and financial sustainability of the pension system in order to ensure the adequacy of pension payments to maintain a decent standard of living for pensioners, taking into account the inflation rate in the country. Thus, it is necessary to carefully assess the possible consequences of investment decisions in order to prevent the depreciation of pension system participants' savings. The pension system is an important element for ensuring the stability of the country's population. It forms the foundation of social security for citizens, creating financial security for them during the period of disability or retirement. Due to demographic changes in the country, the pension system is being reformed, which in turn affects financial stability in the Republic of Kazakhstan. The article presents a number of key roles and functions within the pension system, analyzes the volume of pension savings and the number of individual pension accounts in the cities of national importance, presents the structure of the investment portfolio of the PAs of the Unified Accumulative Pension Fund (UAPF), which are under the trust management of the NBRK, in the context of financial instruments. Proposals on how to increase investment income have been developed.

Optimizing Administrative Accounting: Innovative Strategies for Efficient Decision-Making and Sustainable Financial Management

A systematic review was carried out on the production and publication of research papers related to the study of the variables Administrative Accounting, Innovation, Financial Management and Sustainability, the PRISMA approach (Preferred Reporting Items for Systematic reviews and Meta-Analyses). The purpose of the analysis proposed in this document was to know the main characteristics of the publications registered in the Scopus and Wos databases and their scope in the study of the proposed variables, achieving the identification of 58 publications in total. Thanks to this first identification, it was possible to refine the results through the keywords entered in the search button of both platforms, the following keywords: MANAGEMENT ACCOUNTING, INNOVATION, FINANCIAL MANAGEMENT, SUSTAINABILITY, reaching a total of 15 documents, excluding duplicates and those that did not meet the analysis criteria. From this analysis, it is expected to know the contributions of the scientific community to the study of the contributions of administrative accounting in sustainable financial management, in support of decision-making by senior management, always seeking the optimization of resources and increase profitability through innovation and the principles of sustainability.

Pharmaceutical procurement profits and universal health coverage: Reform to a sustainable healthcare and financing system

BackgroundIn this study, using Taiwan's National Health Insurance (NHI) as an example of a single-payer system, we examined the extent of pharmaceutical procurement profits (PPP) and evaluated their impact on the financial performance of healthcare institutions. MethodsWe extracted data from financial statements and healthcare service declarations of NHI-contracted hospitals from 2015 to 2021. Financial data concerning PPP, health service profits (HSP), and total operating profits (TOP) from each hospital were analyzed. The impact of PPP on hospitals with positive and negative HSP was further investigated. ResultsThe total PPP across all hospitals studied gradually increased from NT$30.6 billion in 2015 to NT$47.0 billion in 2021. In 2021, 28.1% of all hospitals reported a deficit in HSP. PPP appeared to have a significantly positive impact on the financial performance of these hospitals. It not only enhanced positive profits, but also helped mitigate or completely offset the negative profits from HSP. The effect of PPP seems to be more pronounced for hospitals with larger HSP values, suggesting that larger hospitals benefit more from PPP in absolute terms. DiscussionAverage PPP increased during the study period, increasingly affecting hospitals’ financial stability across all strata. The gap between TOP and HSP in medical centers has gradually widened, suggesting an increase in non-health service profits. In this study, we propose a payment policy reform that fosters sustainability of the healthcare and financing system under universal health coverage and corrects the potential distortions caused by PPP.

Impacts of Inventory Management Factors on Inventory Performance Measures: The Sri Lankan Wholesale Sector

Inventory management is a crucial component of sustainability, enabling companies to reduce expenses, enhance cash flow, and increase profitability. Inventory makes up a majority of current assets in the wholesale sector, where inefficiencies are bound to happen, given the large-scale inventory. This research focuses on identifying the factors and performance measures of inventory management and evaluating their interrelationships focusing on the Sri Lankan wholesale sector. The factors identified through a systematic review and industry experts’ interviews were then categorized into key areas with a thematic analysis. The 22 factors identified were grouped into the categories of organization, facilities and equipment, and processes and practices. The 24 performance measures were grouped into operational, customer satisfaction, and environmental categories. A questionnaire survey was conducted with 126 managerial-level employees of wholesale organisations. The partial least squares structural equation modelling (PLS-SEM) method is used to validate the relationship between the variables and the moderation effect of firm size on these relationships. The findings reflect that factors of organisation and facilities and equipment, influence the performance measures. Organisational factors were the most significant in influencing all three performance categories. For most relationships, the firm size did not have a moderation effect. This research assists wholesale businesses in achieving excellence and a competitive edge in the Sri Lankan market while finding answers to the ongoing business issues in the wholesale sector.

Enhancing Customer Experience through Sentiment Analysis and Natural Language Processing in E-commerce

The research explores the use of sentimental analysis and natural language processing (NLP) in e-commerce applications to enhance customer experience. It identifies a positive correlation between customer reviews and products, overcoming previous limitations in language training and customer loyalty. The study aims to increase e-commerce business sales by 15.4%, resulting in a 15% increase in business profit and a 1% increase in positive recommendations. The study underscores the potential of these technologies in enhancing consumer satisfaction, brand loyalty, and e-commerce performance.

Balancing Environmental Sustainability and Economic Viability in Luxembourgish Farms: An Agent-Based Model with Multi-Objective Optimization

To curb the impacts arising from the agricultural sector, the actions undertaken by policymakers, and ultimately by the farmers, are of paramount importance. However, finding the best strategy to reduce impacts, and especially assessing the effects of the interactions and mutual influence among farmers, is very difficult. To this aim, this paper shows an application of an agent-based model (ABM) coupled with life cycle assessment (LCA), which also includes multi-objective optimization of farming activities (including both crop cultivation and livestock breeding) from an economic and environmental perspective. The environmental impacts are assessed using the impact assessment scores calculated with the Environmental Footprint 3.0 life cycle impact assessment method and the study is conducted “from cradle to farm gate”. The model is applied to all the farms in Luxembourg, whose network is built utilizing neighborhood interactions, through which a parameter known as farmer’s green consciousness is updated at each time step. The optimization module is instantiated at the end of each time step, and decision variables (the number of livestock units and land allocation) are assigned based on profitability and specified environmental impact categories. If only profit optimization is considered (i.e., when farmers’ green consciousness is de-activated), the results show a 9% reduction in the aggregated environmental impacts (obtained as the Environmental Footprint single score) and a 5.5% increase in overall profitability. At the farm level, simulations display a clear trade-off between environmental sustainability and financial stability, with a 25% reduction in overall emissions possible if farming activities are carried out using the single score impact in the objective function, though this results in an 8% reduction in profitability over 10 years.

Strategic investments in mobile and stationary energy storage for low-carbon power systems

The main feature and trend of the distribution system is the integration of renewable energy with high penetration rates. The variability and zero marginal cost characteristics of renewable energy will lead to drastically fluctuating locational marginal prices. In the deregulated electricity market, merchants have incentives to utilize energy storage and price arbitrage. Mobile energy storage has a short capital payback period and is widely recognized for transferring energy in the temporal and spatial dimensions. This paper analyses the interaction between merchants and distribution system operators and presents a hybrid energy storage strategic investment framework using bi-level programming. In the upper-level problem, the merchant formulates the capacity, location, and operation strategy of different energy storage to maximize the market revenue of hybrid energy storage, which is paid for by the locational marginal price. In the lower-level problem, the distribution system operator develops an optimal dispatch strategy considering renewable energy and merchant investments. A joint energy and reserve market clearing procedure is performed to derive the locational marginal prices. In the lower-level problem, a data-driven solution strategy based on machine learning is introduced. It uses deep neural networks to approximate the mapping relationship between distribution system states and locational marginal prices. The presented methodology is implemented in an IEEE-33 node system. The results demonstrate that, compared to the basic case, the hybrid energy storage investment strategy has led to an 8.1 % increase in merchant profits and a 12.9 % reduction in the operational costs of the distribution network. The deep neural network approximator fully avoids the lower-level problem with less than 5 % optimality loss.

Impact of Capital Structure on Profitability of Commercial Banks in Tanzania

This paper aims to examine the impact of capital structure on the profitability of commercial banks in Tanzania using panel data from 2017to 2021. Specifically, the study wants to investigate the impact debt and equity in capital structure on profitability of commercial banks in Tanzania. The study employed panel data research design and used secondary data which were extracted from audited financial statements of commercial banks. Return on assets was used as the dependent variables while independent variables were debt and equity capital as well as the debt-equity ratio. Result from the analysis indicates that initially the variables were not normally distributed which necessitate normalization of variables. Correlation analysis was performed and there was no multicollinearity problem between the variables. Based on Hausman test fixed effect model was selected as the appropriate model. The results from the analysis showed that 1% increase in debt capital increases profitability of commercial bank by 16.79%. The positive debt-profitability coefficient implies opportunities for enhancing profitability of commercial bank through debt financing. Result further revealed that 1 % increase in debt-equity ratio is associated with 18.07% decline in profitability. Which implies negative relationship between debt-equity ratio and profitability. On the other hand, increase in equity finance is associated with decline in profitability holding other factors constant. However, the study recommends a comprehensive assessment and consideration of situational factors while carrying out capital structure decision inverse relationship between debt-equity ratio also implies that excessive debt may pose financial risk and make the company less attractive to potential investors.

Determinants of paratransit feeder service provision using AI-synthesized revealed preference data: a paratransit drivers’ perspective on PT reform using machine learning

ABSTRACT Although there is a wealth of research on passengers’ perception of public transport services and their willingness to use them, only a few have examined paratransit drivers’ intention to provide service. In this study, we have proposed using combined forward sequential feature selection with random forest classifier (FSFS-RFC) and Artificial Neural Network (ANN) to investigate the factors influencing drivers’ intention to provide feeder services to a dedicated bus lane system in Freetown. Focus group discussion was held with heads of various public transport unions, and a questionnaire survey was administered to a sample of 1124 paratransit drivers. The proposed FSFS-RFC and ANN algorithms revealed consistent results with schemes for fleet renewal, provision of coordinated paratransit feeder terminals, guaranteed hours of bus operation and increase in daily profit as the most significant determinants. The results imply that the algorithms can learn from AI-synthesized data on paratransit drivers’ operations for efficient planning.

Pengendalian Manajemen Sebagai Upaya Mengoptimalkan Kinerja Keuangan

Background – The debt phenomenon is very crucial in the company. Many entrepreneurs go bankrupt or fail to pay due to debts owned by the company so that debt has a big pressure on generating company profits. Aim – This research is to analyze the influence of corporate governance on financial performance and external pressure as mediating variables. Design / methodology / approach – The cumulative method used to describe relationships in research and the analysis tool is Eviews.10 software. The sample used was 720 observation data from 144 financial sector companies for five years (2018-2022). Findings – This shows that the board has a significant negative impact on external pressure. Independent directors and commissioners have a significant positive influence on external pressure. The board of directors has a significant positive influence on financial performance. Board independence has no effect on financial performance. Board and external pressures have a material negative impact on financial performance. External pressure indirectly has a negative and significant influence on financial performance among independent directors and commissioners. We also provide active and authoritative mediation between the board of directors and financial performance. Conclusion – This needs to be taken into consideration that external pressure has a strong impact on independent directors and the board of commissioners so that the resulting performance will decrease, while the board of directors will have a strong impact on improving performance because the board of directors is able to control the pressure that arises from stakeholders. Research implication – For manufacturing companies, they will be able to see which ones can provide an increase in company profits so that they will be able to maximize corporate governance in managing the company's finances. Limitations – This research only uses one sector, namely manufacturing companies. This research needs to be expanded to different sectors.

On the Different Fair Allocations of Economic Benefits for Energy Communities

Energy Communities (ECs) are aggregations of users that cooperate to achieve economic benefits by sharing energy instead of operating individually in the so-called “disagreement” case. As there is no unique notion of fairness for the cost/profit allocation of ECs, this paper aims to identify an allocation method that allows for an appropriate weighting of both the interests of an EC as a whole and those of all its members. The novelty is in comparing different optimization approaches and cooperative allocation criteria, satisfying different notions of fairness, to assess which one may be best suited for an EC. Thus, a cooperative model is used to optimize the operation of an EC that includes two consumers and two solar PV prosumers. The model is solved by the “Social Welfare” approach to maximizing the total “incremental” economic benefit (i.e., cost saving and/or profit increase) and by the “Nash Bargaining” approach to simultaneously maximize the total and individual incremental economic benefits, with respect to the “disagreement” case. Since the “Social Welfare” approach could lead to an unbalanced benefit distribution, the Shapley value and Nucleolus criteria are applied to re-distribute the total incremental economic benefit, leading to higher annual cost savings for consumers with lower electricity demand. Compared to “Social Welfare” without re-distribution, the Nash Bargaining distributes 39–49% and 9–17% higher annual cost savings to consumers with lower demand and to prosumers promoting the energy sharing within the EC, respectively. However, total annual cost savings drop by a maximum of 5.5%, which is the “Price of Fairness”.

Proposed Business Strategy For Sakola Motekar In Ciamis To Increase Profit

Proposed Business Strategy For Sakola Motekar In Ciamis To Increase Profit

ANALYSIS OF CSR IMPLEMENTATION AS A COMPANY CONTRIBUTION IN ACHIEVING SUSTAINABLE DEVELOPMENT (CASE STUDY ON PT. OTSUKA INDONESIA)

This study analyzes the implementation of CSR programs in a company engaged in the pharmaceutical industry. The purpose of this study is to find out whether PT Otsuka Indoenesia has implemented CSR programs in accordance with the Triple Bottom Line concept. In addition, this study also aims to analyze whether the implementation of CSR programs run by PT Otsuka Indonesia has fulfilled aspects of the Sustainable Development Goals. This research uses an interpretive paradigm with a qualitative descriptive approach. Data in this study were obtained through interviews and observations. The novelty of the study is related to the object of research and analysis of the company's contribution to the Sustainable Development Goals. The results show that the company has implemented CSR programs that are in accordance with the aspects and points contained in the Sustainable Development Goals. The Company runs CSR programs not only to fulfill its social responsibility but also to achieve the Sustainable Development Goals. However, companies need to develop their CSR programs into CSV programs, so that the programs run by the company not only provide benefits for program recipients, but also provide economic benefits to the company such as an increase in profits or an increase in sales at the company. Suggestions for future research are researchers to use research objects in other companies in order to find out whether companies in Indonesia have implemented CSR programs in accordance with the Sustainable Development Goals. So that Indonesia can achieve its Sustainable Development commitment in 2030.

Implementasi Smart Cow Farming Technology untuk Monitoring Pertumbuhan Sapi dan Peningkatan Skala Usaha pada Kelompok Peternak Sapi DiBa Farm Kabupaten Lampung Selatan

The DiBa Farm Livestock Group faces several urgent issues that need to be addressed not all cows can achieve the minimum weight gain target of 1.5 kg per day. Monitoring of cow growth productivity is done manually; (3) the calculation of the cost of goods sold is also still done manually. The partner's marketing of livestock products is limited to regular customers within the South Lampung area only. Based on these prioritized issues, the proposed solutions and methods are implementing a wheelbarrow tool with a digital scale for transporting cow feed using IoT technology. Implementing a cow growth monitoring application using RFID. Implementing a website-based application to automatically determine the Cost of Goods Sold for cows. Implementing a digital marketing application for cow sales that can be accessed via a website. Providing training and assistance related to digital marketing strategies. Based on the evaluation results, it was found that the implementation of Smart Cow Farming Technology 100% improved the partners' knowledge of its usage. The average cow growth increased monthly, from 45 kg to 50 kg. Additionally, there was a 25% increase in profits due to the implementation of the cost of goods sold calculation application and the online cow sales application. The evaluation results from the digital marketing training activities also showed that 85% of the partners' knowledge and understanding improved in terms of using digital marketing.

Research on Pricing and Dynamic Replenishment Planning Strategies for Perishable Vegetables Based on the RF-GWO Model

This paper addresses the challenges of automated pricing and replenishment strategies for perishable products with time-varying deterioration rates, aiming to assist wholesalers and retailers in optimizing their production, transportation, and sales processes to meet market demand while minimizing inventory backlog and losses. The study utilizes an improved convolutional neural network–long short-term memory (CNN-LSTM) hybrid model, autoregressive moving average (ARIMA) model, and random forest–grey wolf optimization (RF-GWO) algorithm. Using fresh vegetables as an example, the cost relationship is analyzed through linear regression, sales volume is predicted using the LSTM recurrent neural network, and pricing is forecasted with a time series analysis. The RF-GWO algorithm is then employed to solve the profit maximization problem, identifying the optimal replenishment quantity, type, and most effective pricing strategy, which involves dynamically adjusting prices based on predicted sales and market conditions. The experimental results indicate a 5.4% reduction in inventory losses and a 6.15% increase in sales profits, confirming the model’s effectiveness. The proposed mathematical model offers a novel approach to automated pricing and replenishment in managing perishable goods, providing valuable insights for dynamic inventory control and profit optimization.

An evolutionary perspective on capabilities for fluid product-markets: The contingent effects of routinization and renewal in marketing, R&D, and operations

The performance benefits of functional capabilities in marketing, technology, and operations rely on their routinization in organizational processes, but these also require renewal in response to environmental change. This raises a fundamental tension: is it better to maximally develop functional capabilities that offer the highest contingent benefit in present market conditions, and/or to modify capabilities as conditions change? We propose two measures of a firm's ability to renew its functional capabilities to align with market conditions: capability heterogeneity (variation in extant capabilities) and capability adaptability (selection among these strategic options). In a 20-year panel of 771 firms, we find environmental change increases the importance of these aspects of how capabilities are managed relative to what capabilities a firm possesses: In stable product-markets, capability heterogeneity and adaptability incur significant costs whereas functional capabilities improve profitability. In contrast, functional capabilities can be detrimental in fluid product-markets whereas heterogeneity and adaptability increase profitability. Notably, marketing capability remains beneficial across environments, acting as a profitable alternative to capability heterogeneity and adaptability when future conditions are uncertain. This evolutionary perspective contributes to ongoing theoretical debates on the conceptualization and consequences of capabilities, with practical implications for mitigating the risks of excessive inertia or change.

Onion (Allium cepa) Profit Maximization via Ensemble Learning-Based Framework for Efficient Nitrogen Fertilizer Use

Onion (Allium cepa) is a major field vegetable in South Korea and has been produced for a long time along with cabbage, radish, garlic, and dried peppers. However, as field vegetables, including onions, have recently been imported at low prices, the profitability of onion production in South Korea is beginning to be at risk. In order to maximize farmers’ profits through onion production, this study develops onion yield prediction models via an ensemble learning-based framework involving linear regression, polynomial regression, support vector regression, decision tree, ridge regression, and lasso regression. The use of nitrogen fertilizers is considered an independent variable in the development of the yield prediction model. This is because the use of nitrogen fertilizers accounts for the highest production cost (13.47%) after labor cost (41.21%) and seed cost (17.42%), and it also directly affects onions yields. For the model development, five research datasets on changes in onion yield according to changes in the use of existing nitrogen fertilizers were used. In addition, a non-linear optimization model was devised using onion yield prediction models for the profit maximization of onion production. As a result, the developed non-linear optimization model using polynomial regression enables an increase in profits from onion production by 67.28%.

Pengaruh Kebijakan Dividen Terhadap Kinerja Keuangan pada PT. Gudang Garam TB

Multinational companies in Indonesia, such as PT Gudang Garam Tbk, with complex financial statements, are interesting subjects for study. The company's capital ownership has increased annually, but this growth has not been accompanied by an increase in profits. The analysis is based on the financial statements of PT Gudang Garam Tbk for the period 2018-2022, using simple regression analysis. In this analysis, the dividend payout ratio, Return On Investment, and Return On Equity are considered as independent variables (x), while financial performance is the dependent variable (y). The study results show an increase in the dividend policy, but a decrease in ROI and ROE. Furthermore, the statistical analysis reveals that the dividend policy has a positive effect on financial performance, while ROI and ROE have a negative impact on financial performance. The findings indicate that the low profit growth is not due to high or low capital, but is instead caused by the return on investment (ROI) and return on capital (ROE) in the form of profit sharing. Hence, it is the return process that leads to declining or low profits.

The innovative vector of technology–based development of shipping companies is autonomous navigation

The article is devoted to the current state of water transport, problems and prospects of its development. Special attention is paid to the innovative vector of development of shipping companies on the basis of technologies - autonomous navigation. The development of the shipping industry on the basis of autonomous navigation opens significant opportunities in the sphere of safety improvement, increase of profit by reducing the costs of maintenance of ship crews. Examples of implementation and use of remote control of a vessel using autonomous navigation means along a socially and economically significant route are given. The article studies the legal acts that came into force in 2024, fixing the legal basis for the creation of autonomous navigation, which gives the opportunity to actively develop this promising direction. It will allow water transport to be competitive, and thus one of the key sectors of the Russian economy to become a pillar for achieving its growth. Based on the study of the materials of the Russian Federation SP in the field of inland water transport development, the factors that will contribute to the efficiency of the implementation of the initiatives of socio-economic development of the Russian Federation until 2030 are proposed.