Increase In Profit Research Articles

ANALYSIS OF THE COLLABORATIVE MARKETING STRATEGY OF THE TOKOPEDIA AND TIKTOK SHOP PLATFORMS IN INCREASING SALES.

The Tiktok application itself has developed over time along with the development of technology, so that the use of Tiktok is not just about sharing information, but has become an online shopping platform. The reason is, Tiktok also presents new innovations in its own application, namely on April 17 2021 it introduced a new feature in the form of Tiktokshop. Then in September 2023, Tiktokshop was closed due to several conflicts and allegations of poor financial performance. in markets that monitor economic activity manually. Additionally, on December 11, 2023, we partnered with Tiktok to enable product sales between Tokopedia via the Tiktok application. Tokopedia and Tiktok Shop collaborate with large shipping agents in Indonesia to make it easy to check the status of goods delivery. The research method used is a qualitative research method, where this research method does not use data in the form of numbers, but data that comes from words and also from existing images. The goal of studying the results of a merger between two or more companies is to increase profitability between companies. Combining capital and assets will increase asset growth so that company profits increase. By carrying out a merger, the financial scale of a company or economic entity also becomes larger, because the business concerned becomes more productive, stronger, efficient and effective. Companies can also increase their market share by introducing new innovations and minimizing existing risks. Based on the results and discussion of the marketing strategy for the Tokopedia and Tiktok applications, it can be concluded that Tokopedia and Tiktok are effective social media in implementing marketing strategies. Advertisements implemented in the Tokopedia and Tiktok applications include advertisements, sales content, live streaming features, and others. with the aim of offering products and services to potential buyers, arousing purchasing interest and creating shopping transactions to increase sales

Optimal investment and coordination strategies for digital technology adoption in a dual-channel supply chain

Digitization has become a necessity. How upstream and downstream companies in the supply chain coordinate digital transformation is a challenge. To this end, this paper develops a dynamic differential game model that includes a single manufacturer and a single retailer, both of which can decide whether or not to invest in digital applications and thus classify them into Scenarios M and R. The result shows that, compared to the R model, in the M model, the manufacturer sets a higher wholesale price that will suppress the sales volume in the online channel, but its overall profit increase; adopting the M model may be more favorable to both parties, but for the retailer, there is a risk that the manufacturer may charge high wholesale prices. In contrast, for the manufacturer, the retailer has a free-riding behavior. Based on this, this paper proposes an improved model F, where the retailer shares a certain percentage of the investment cost of digital technology to incentivize the manufacturer to invest in digital technology and share information with the retailer. It shows that in this scenario, the supply chain participants realize a win–win situation and make the level of digital technology higher than in the previous two scenarios.

Costs versus revenues of flexibility enhancement techniques for thermal power units in electricity-carbon joint markets

Thermal power units (TPUs) are required to enhance operational flexibility to ensure power grids accommodate the increasing penetration of intermittent renewables. The flexibility enhancement includes increasing peak shaving depth, increasing ramp rate, or both. In electricity-carbon joint markets, increasing peak shaving depth means TPUs can generate less electricity during low-tariff periods while increasing ramp rate means TPUs can respond faster to changes in electricity tariffs. Flexibility enhancement brings additional revenues, but also additional investments. The tradeoff between costs and revenues is important for the construction of sustainable power systems mainly based on renewables, but limited literature models them. To address this gap, variable costs, fixed costs, revenues, and an optimization model for maximum profits are proposed and modeled. Then the economic applicability of different flexibility enhancement aspects is evaluated by comparing the maximum profit increase for a day before and after the flexibility enhancement of TPUs. Furthermore, the profitability of applying different flexibility technologies under the same investments is analyzed, obtaining the optimal flexibility enhancement route. The proposed method is applied to TPUs with different live steam parameters, installed capacities, and reheat stages. Numerical simulations provide detailed economic analysis and optimal flexibility enhancement routes for TPUs in electricity-carbon joint markets.

Analisis Pengaruh Struktur Modal Dan Profitabilitas Yang Mempengaruhi Nilai Perusahaan Pada Perusahaan Manufaktur Sektor Industri Pertanian Yang Terdaftar Di Bei Periode 2018-2022

The company value in this study is proxied by Price Book Value, which is the market ratio used to measure stock prices with the book value of shares. This study aims to test and determine the effect of capital structure proxied by Debt to Equity Ratio and Profitability proxied by Return on Equity on the value of companies listed on the Indonesia Stock Exchange. The sampling technique used purposive sampling with a total sample of 25 companies and the research data amounted to 125 data for the period 2018-2022. This study used time series data with multiple linear regression models. Hypothesis testing shows the regression coefficient value of the capital structure variable is -0.009 with a significance of 0.433> 0.05. Meanwhile, the regression coefficient value of profitability variable was 0.166 with a significance of 0.009 <0.05. The results of this study indicates that capital structure (DER) has a negative and insignificant effect on firm value, meaning that if the capital structure increases by one unit, the firm value will remain constant. While profitability (ROA) has a positive and significant effect on firm value (PBV), meaning that Profitability (ROA) has a significant effect on Firm Value in Manufacturing companies listed on the IDX that if profitability increases by one unit, the company value will increase.

Robust economic-resilient operational planning of distribution networks considering multi-microgrids black-start service

The increasing growth of natural disasters and cyber-physical attacks has made the development of resilience enhancement strategies for distribution networks a significant challenge for operators. Hence, in this paper, a black-start strategy based on multi-microgrids capability is developed as a two-layer preventive-corrective measure within a cost-effective energy management framework. The preventive layer includes regulating bilateral contracts between the active distribution network operator and the multi-microgrids owner pre-event. The corrective layer includes islanding microgrids during the event, calling the responsive loads, and economic-resilient operational planning of the active distribution network post-event. In this regard, a hybrid robust multi-objective optimization approach is applied to model the proposed black-start strategy as a risk-averse portfolio. The effectiveness of the developed model is tested on the modified IEEE 33-bus distribution network. Results such as an 83.38 % load recovery of the active distribution network, a 65.78 % reduction in distribution system operator costs, and a 131.28 % increase in multi-microgrid owner profit clearly illustrate the enhanced resilience of the active distribution network within an economically robust framework, which indicates the effectiveness of the proposed strategy.

Technological approach in innovative activities of enterprises in formation of marketing products: socio-economic aspects

Methods. During the research, the following methods were used as: logical and historical method – when studying the evolution of outdoor advertising under the influence of the emergence of new technologies; analysis and synthesis – when identifying key types of digital technologies that have an impact on increasing the efficiency of the company's marketing activities; factor analysis – when establishing the influence of innovative technologies in the format of LED-neon and 3D printing on the effectiveness of advertising campaigns. Results. The evolution of the development of outdoor advertising is analyzed in view of the changes caused by the transition of the technical and technological system of society to a new, higher level. Modern trends in the development of the technical and technological factor have been identified, namely: the transition to the digital economy. The components of modern innovative technologies used in the field of outdoor advertising are singled out and their influence on the effectiveness of the company's marketing activities is demonstrated. Innovative technologies such as LED-neon and 3D printing are characterized, and their role in increasing the effectiveness of advertising campaigns through the creation of innovative technological marketing products in the form of digital billboards with LED screens and 3D projection is shown. The main socio-economic results of the use of digital tools in outdoor advertising are identified, which include: the possibility of creating complex and detailed advertising structures with high accuracy, which attracts the attention of potential customers; wider possibilities of using interactive elements and the possibility of personalizing advertising messages, which increases the level of customer engagement, as well as the level of trust and loyalty to the brand. This leads to an increase in the client base and an increase in the company's profits. Novelty. The article proves the effectiveness of digital technologies in ensuring the effectiveness of the company's marketing activities, in particular, the impact on the economic indicators of outdoor advertising. The relationship between the improvement of advertising through LED-neon and 3D printing and the growth of environmental awareness of consumers and social responsibility of business has been established. Practical value. It was determined that innovative technological developments are a critical element of successful interaction between contractors and customers in the field of implementation of outdoor advertising projects. They contribute to the growth of enterprises, increase the efficiency of their marketing activities and create stable socio-economic ties. Permanent implementation of innovative technologies and adaptation to turbulent market conditions will allow to achieve tactical and strategic goals, ensuring a high level of interaction and efficiency.

ANALYSIS AND FORECAST OF THE EMPLOYEES IN THE PUBLIC AND PRIVATE HEALTH SYSTEMS IN ROMANIA

In this paper, a statistical analysis is made of the health personnel in Romania in the public and private systems using data from the period 1990-2022, provided by the National Institute of Statistics. Using the least squares method, analytical functions are found that model the trend and forecasts are made for the years 2023 and 2024. The confidence intervals for the predictions are also found, at a significance threshold of 5%, and the correlations between certain indicators are analysed. It was found that in the public sector there was a downward trend, in general, for all categories of medical personnel in the period 1990-2017, followed by an increasing evolution after 2018, due to salary increases in the system. However, there is still a shortage of physicians in the public sector, even if their number has steadily increased in the last years. There is no correlation between the number of physicians and the number of beds in public hospitals, although this should be positive and high. On the other hand, in the private sector the trend is obviously increasing throughout the studied period, the correlations are very strong between the analysed indicators, a situation explained by the fact that in this system the goal is to minimize expenses and increase profit and less access of all citizens to health services.

ANALISIS PENDAPATAN UNTUK MENINGKATKAN LABA BERSIH PADA KOPERASI PEGAWAI REPUBLIK INDONESIA TUTWURI DIKBUDMORA KOTA MADIUN

This research aims to determine the level of income growth and net profit growth, and whether the increase in income each year is always followed by income growth in the following year. Likewise, whether the increase in net profit each year is followed by growth in net profit in the following year. The research object is KPRI Dikbudmudora which is located in the city of Madiun. Using Income data, Operational data, and Tax data from KPRI Dikbudmudora Madiun city from 2019 to 2021. The data analysis technique uses descriptive analysis techniques. The data collection technique used is documentation. The results of this research show that the income and net profit at KPRI Dikbudmudora, Madiun City in 2019-2020 has increased every year, however, the level of efficiency in the company's operational expenses has decreased, so this is one of the factors causing the growth rate of income and net profit. The company's net income fluctuates every year.

Development of a New Method to Optimize Operations of an Existing Crude Unit

A nonlinear optimization method working with the Simplex Method was developed to find optimum operating conditions of a crude oil distillation unit subject to defined process constraints, product specifications and prevailing market conditions. Then the method was applied to a commercial crude unit. This crude unit was modeled using Aspen Hysys V12.1 process simulation software. Two sets of market scenarios designated as the maximum gasoline scenario and minimum gasoline scenario were applied to the simulation model. It was found that the model minimized naphtha production and maximized kerosene production for minimum gasoline scenarios where the price of kerosene and diesel products were higher than naphtha products. Similarly, the model maximized the naphtha product yield for the maximum gasoline scenario where the naphtha price exceeds the mid-distillate product price. The iterative procedure developed for the study monotonically converged to optimum operating conditions for both market scenarios. It was observed that the optimization scheme developed in this study could generate a significant profit increase in the conventional crude unit investigated in this study without and capital investment.

Supply chain/transaction cost insights into the profitability of health insurers during 2020, the start of COVID‐19

AbstractVarious US populations make up different health care markets/segments, and health insurers specialize in serving specific populations. US health insurers soared in profits during 2020, the first year of the Covid‐19 pandemic. The profit gains were unequal among segments. This research uses a supply chain/transaction costs economics (SC/TCE) model to find insights into the profitability differences. The SC/TCE model consists of three spheres of profitability determinants: health care characteristics, transactions costs differentials, and governance methods. Our univariate analyses combined with weighted regression results reveal that, for Medicaid, a significant increase in profitability was associated with a decrease in medical expenses, whereas the opposite is observed for the group and Medicare Advantage plans. Another finding is that transaction costs differentials led to significant increases in profitability for group and Medicare plans with opposite results for Medicaid plans. These results provide important practical implications for policymakers.

Progressions in Agriculture and Farming Practices: Indispensable in leading to Up-gradations of Rural Communities

Within rural communities, individuals are contributing efficiently in promoting better livelihoods opportunities. The participation of the individuals in agriculture and farming practices is regarded as one of the primary occupations of the individuals, belonging to rural communities. The agricultural labourers and farmers are making use of traditional methods and procedures in doing their jobs. Furthermore, there are agricultural labourers and farmers who are making use of modern, scientific and innovative methods and procedures. These are regarded as essential in leading to an increase in productivity and profitability. Furthermore, it is vital for individuals to hone their competencies, abilities and aptitude. They need to generate information in terms of various factors, which are facilitating in generating desired outcomes. These include, marketing strategies, labour market factors, customer demands and so forth. As a consequence of being well-aware in terms of all these factors, individuals will be well-prepared in carrying out all types of tasks and activities in an adequate manner. In this manner, they will contribute efficiently in leading to up-gradations of overall living conditions. Therefore, it is well understood, progressions in agriculture and farming practices are indispensable in leading to up-gradations of rural communities. The main concepts that are taken into account in this research paper are, understanding the importance of progressions in agriculture and farming practices; measures to be implemented in leading to progressions in agriculture and farming practices and measures to be implemented in improving conditions of agricultural labourers and farmers.

Как отпугнуть клиента и получить прибыль: фильтрация в системе массового обслуживания

We consider a simple exponential queueing system with a finite capacity and heterogeneous customers. Type I customers are patient, they join the queue if the system capacity allows it. Type II customers are impatient, so that they refuse to join the queue if the waiting time is too large (so-called wait-based balking). The system makes profit servicing customers, and the profit depends on the type of the customer. We show that if type II customers bring less profit than type I customers then the administration may, in certain cases, increase profit by slowing down the service (decreasing the service rate). It makes the system unattractive for relatively unprofitable type II customers who stop forming the queue and thus leave the place for more profitable customers who otherwise would not have joined the queue due to capacity restriction.

ACCOUNTANTS ROLE CREATING COMPETITIVE NEW BRAND TRUCK FINANCE PRODUCTS FOR PT SM FINANCE INDONESIA

This research aims to show the approach used and the active contribution of PT SM Pembayaran Indonesia (SMPI) Accountants in supporting the creation of new financing products in the new SMPI segment, namely Chinese brand Heavy Trucks which are starting to penetrate sales in Indonesia, so that new financing products are produced by the company can compete in the Indonesian market and industry, which of course will provide positive asset growth and increase profitability at SMPI. SMPI's profitability is the main thing, which aims to accelerate the rate of return on investments made by shareholders, which is also fundamental in investing in establishing SMPI. This research method used is a real case study at SMPI after SMPI saw a new opportunity that had not been exploited by similar financing companies, by conducting an in-depth study of the quality and reliability of the selected Chinese Heavy Truck brand as well as the Indonesian market's acceptance of the selected Chinese Heavy Truck brand. has been operating and demonstrated growing market share gains in existing markets in Indonesia. This includes how SMPI Accountants play an active role in leading the creation of new financing products in new segments to support additional positive growth in SMPI assets and contribute to increased SMPI profitability. The research results show that one of the Chinese Heavy Truck brands has good feasibility in terms of readiness to be accepted by the market in Indonesia and from the perspective of profitability projections for SMPI to work together in jointly marketing SMPI financing solutions with financing products intended for Chinese Heavy Truck brands in the commodity industry certain.

Research on Green Supply Chain Decision-Making Considering Consumers' Low Carbon Awareness and Cost Sharing

With the global vigorous promotion of the development of green economy, advocating the practice of green concept, sustainable development has become a new problem that the world attaches great importance to. This paper considers the factors of consumers ' low-carbon awareness, discusses the pricing decisions in different situations, and looks for the optimal decisions of manufacturers and retailers. It is found that the enhancement of consumers ' low-carbon awareness is conducive to the increase of supply chain profit, and the retailer 's cost sharing ratio can improve the supply chain profit within a certain range.

Towards autonomous learning and optimisation in textile production: data-driven simulation approach for optimiser validation

AbstractThe textile industry is a traditional industry branch that remains highly relevant in Europe. The industry is under pressure to remain profitable in this high-wage region. As one promising approach, data-driven methods can be used for process optimisation in order to reduce waste, increase profitability and relieve mental burden on staff members. However, approaches from research rarely get adopted into practice. We identify the high dimensionality of textile production processes leading to high model uncertainty as well as an incomplete problem formulation as the two main problems. We argue that some form of an autonomous learning agent can address this challenge, when it safely explores advantageous, unknown new settings by interacting with the process. Our main goal is to facilitate the adoption of promising research into practical applications. The main contributions of this paper include the derivation and formulation of a probabilistic optimisation problem for high-dimensional, stationary production processes. We also create a highly adaptable simulation of the textile carded nonwovens production process in Python that implements the optimisation problem. Economic and technical behavior of the process is approximated using both Gaussian Process Regression (GPR) models trained with industrial data as well as physics-motivated explicit models. This ’simulation first’-approach makes the development of autonomous learning agents for practical applications feasible because it allows for cheap testing and validation before physical trials. Future work will include the comparison of the performance of different agent approaches.

Portfolio of Four Pieces of Analysis Using Operations Management ConceptsTaking Next as an Example

Fast fashion is a highly efficient and cost-effective approach to designing and producing apparel that has significant implications for managing operations. The paper focuses on operational management within the fast fashion industry, specifically Next plc. Several models, such as the 4Vs, have been utilized to analyze operational management. The paper examines Next's processes, operations hierarchy, layout, and capacity management using a literature review and analysis method. For optimal performance, businesses in the fast fashion industry should explore the benefits of self-service transaction options, smart personnel allocation during peak demand periods, and streamlined point-of-sale systems. These measures can greatly enhance efficiency and customer service. RFID technology has the potential to enhance operational management, especially in supply chain and inventory management. RFID technology has the potential to bring significant benefits to the industrial sector. By enabling real-time asset tracking, optimizing asset use, streamlining inventory management, and strengthening quality control, it can help reduce costs, improve efficiency, and increase profits.

Studying the efficiency of Gaprin application in sterlet farming

In the course of the experiment, the influence of new feed additives created on the basis of Gaprin and representing biomass of inactivated cell culture of non-pathogenic methane-oxidizing yeasts or bacteria on sturgeon fish productivity indicators was studied. The research was carried out in the Krasnodar Territory on sterlet fingerlings. The experiment lasted for 60 days. According to the scheme of the experiment, the 1st (control) group of fish received complete feeds without additives, i.e. containing 100.0% fish meal. In group 2 feeding, 50.0% fishmeal was replaced with 50.0% Gaprin. Group 3 diet contained 25.0% fishmeal and 75.0% Gaprin. In the feed for group 4, fish meal and Gaprin were in the ratio of 75/25%. In Group 5, fish meal was completely replaced by Gaprin, in this case the amount of additive was 10.5 kg. Sterlet fingerlings from Group 6 received feed with 10.0% Gaprin. The initial live weight in all groups was similar at 30 g. However, the inclusion of Gaprin in the diet by reducing the amount of fish meal contributed to an increase in the final live weight of sterlets in the experimental groups by 4.4–19.4% compared to the control. The exceptions were groups 5 and 6, which received 100.0 and 90.0% Gaprin instead of fishmeal. Final live weight in these groups was lower by 2.3 and 0.9%, respectively. Feed costs per 1 kg of live weight gain in the groups with partial or complete replacement of fish meal were lower relative to the 1st group (from 7.0 to 17.9%,).Inclusion of Gaprin in complete feeds contributed to the increase in profit from 553.00 to 1785.00 rubles.

Assessing the Influence of Planned Behavior on Consumer’s Purchase Intention on Selected RTW Establishments in Valencia City, Bukidnon

The fashion industry has been continuously growing over the years, yet it is an industry that was greatly being growing until now. Businesses are keen to understand the factors that influence their purchase intentions. However, there is a lack of comprehensive research focusing on the determinants of purchase intention in the RTW clothing establishment, particularly in Valencia City, Bukidnon. The analyses revealed a significant positive relationship between consumer' attitudes towards behavior having the results of (CR 0.825, AVE 0.611) strong relationship, subjective norms (CR 0.723, AVE 0.469) good relationship, perceived behavioral control (CR 0.720, AVE 0.464) slightly good relationship, and purchase intention having the strongest relationship among all of the variables which have (CR 0.895, AVE 0.680). All variables are there is no significant difference to each hypothesis. The study "Assessing the Influence of Planned Behavior on Consumer’s Purchase Intention on Selected RTW Establishments in Valencia City, Bukidnon" was chosen to understand consumer behavior, particularly in the Ready-To-Wear industry in Valencia City. Consumers stand to gain from improved shopping experiences and better product offerings tailored to their preferences. Businesses and resellers can leverage to there insights to refine their marketing strategies, enhance product development, and increase profitability. Furthermore, this study contributes to the academic literature, providing a foundation for future research in this field.

Using Game Theory to Explore the Multinational Supply Chain Production Inventory Models of Various Carbon Emission Policy Combinations

This study uses Stackelberg game theory, considering different combinations of carbon emission reduction policies and that high-carbon-emission enterprises may face various carbon emission reduction regulations, to explore the production inventory problems in a multinational supply chain system. The purpose is to determine the manufacturer’s optimal production, shipping, carbon reduction investment, and the retailer’s replenishment under the equilibrium for different carbon emission policy combinations. To develop the production inventory models, this study first develops the total profit and carbon emission functions of the supply chain members, respectively, and then obtains the optimal solutions and total profits of the manufacturer and the retailer under different carbon emission policy combinations through the mathematical analysis method. Further, this study used several numerical examples to solve and compare the proposed models. The results of numerical analysis show that regardless of the increase in carbon price or carbon tax, the manufacturer and retailer will adjust their decisions to reduce carbon emissions. Specifically, an increase in the carbon price contributes to an increase in the total profit of manufacturers, while an increase in the carbon tax reduces the total profit of manufacturers. This study also explores a sensitivity analysis on the main parameters and has yielded meaningful management insights. For instance, in cases where low-carbonization strategies are required, the manufacturer or retailer can effectively reduce the carbon emissions resulting from production or purchasing activities, thereby significantly reducing overall carbon emissions. It is believed that the results of this study can provide enterprises/supply chains with reference to their respective production, transportation, carbon reduction investment, and inventory decisions under carbon emission policies, as well as information on partner selection and how to adjust decisions under environmental changes.

Literature Review on Decision-Making and Coordination of Closed-loop Supply Chain

Effective treatment and recycling of waste products in the operation of closed-loop supply chain can not only save resources and energy, reduce environmental pollution, but also reduce costs and increase profits for enterprises. All participants in closed-loop supply chain often make decisions with the goal of maximizing overall benefits. This paper aims at summarizing the research progress of decision-making and coordination of closed-loop supply chain, summarizing the factors that affect the decision-making of closed-loop supply chain from the non-economic behavior of decision-makers, green investment, uncertainty, government and policy, and summarizing the commonly used coordination mechanism of closed-loop supply chain, so as to explore the future research direction.