Cost Structure Research Articles

Impact of double-axis tracking on thermal performance of the linear Fresnel Collector: An experimental study

Due to the concerning trend of fossil fuels destructive effect on the environment, renewables, especially solar energy, can be a promising alternative to meet the world's energy demands. Linear Fresnel Collectors (LFCs) are solar thermal collectors that can effectively provide the required thermal energy for various applications. Despite the low capital cost and non-complicated structure of the LFCs, they have some drawbacks, such as end loss effects that reduce their optical and thermal efficiencies. The current research introduces a mechanical tracking system to enable the system to rotate in the secondary axis to decrease the end loss effect. Four experimental tests at laminar and turbulent flows in two single and double-axis tracking modes have been performed to investigate the non-illuminated length in each scenario. Moreover, a theoretical study was conducted, and the results were compared with the experiments. The results showed that the thermal efficiencies were 8.67 %–22.03 % and 40.97 %–63.5 % for the double-axis tracking mode in laminar and turbulent, respectively. The double-axis tracking system enhanced the system's thermal efficiency by 18.91 % and 6.42 % for laminar and turbulent flows on average, respectively, compared to the single-axis tracking. Furthermore, the difference between the experimental and theoretical non-illuminated length values was calculated as 4.14 % and 8.44 % on average for laminar and turbulent flows, respectively. Finally, according to the economic analysis, 4.78 years was calculated for the payback time of the investigated system.

Strategi Pengembangan Usaha Pelatihan Hidroponik Di Kota Bogor

Hydroponics is a method of cultivating plants without soil that is popular with Indonesian people. Its spread in Indonesia is supported by information openness via the internet and social media. Internet users reaching 77.2% have created a demand for hydroponic training. The urgency of training services is needed because hydroponic cultivation requires special skills. In the city of Bogor, there are business units that provide hydroponic training with limited face-to-face services which are very vulnerable to schedule limitations and social restriction policies by the government. The aim of this research is to formulate a strategy for developing a hydroponics training business in the city of Bogor. The approach uses qualitative methods with the Business Model Canvas framework to map digitalization adaptation and describe existing business models. Alternative strategies are formulated using SWOT analysis which combines internal strategic issues in the form of strengths and weaknesses with external strategic issues in the form of opportunities and threats. The formulated alternative strategy is implemented into the prototype canvas business model. Customer Response Index analysis is carried out to support SWOT analysis to obtain input based on responses from consumers. The research results found that digital adaptation was limited to business model marketing channels. Strength strategic issues lie in segmentation based on demand, service flexibility, and digital marketing adaptation. The weakness issue is dependence on one product and dependence on business partners. Strategic issues of opportunity are opportunities for product diversification, new partnerships, and conversion of training into digital products. The strategic threat issue is the opportunistic risk of business partners. The formulation of an alternative strategy recommends diversifying service products by adding services that are still in the hydroponics business line.

Role of "Business Model Canvas" (BMC) In Improving Omzet, Comparative Analysis Approach of Beginner Enterpreneurs in the Field of Creative Economy

An established business must first have a comprehensive plan, including a vision, mission, and goals to be achieved, including increasing turnover and profits and then be able to map out what the company wants and needs with its resources. BMC Strategic Planning (BMC) is a business plan model that explains goals, capital, and efforts to achieve your goals comprehensively. This planning strategy effectively minimizes failure because all risks have been mapped. In some startups, formulating a BMC is a necessity, considering that most startup companies have a risk of failure in the first 5 years. Therefore, this research wants to see the extent of BMC's role in increasing the turnover of novice entrepreneurs in creative industries that have been established for 5 years by comparing turnover before and after using BMC for 3 consecutive years. The results show that the application of BMC to budding entrepreneurs in the creative economy sector has increased their turnover by 22.82% compared to before using BMC. The highest increase in turnover was in the culinary sector, reaching 26.36%, followed by F&B at 25.05%, fashion at 23.9%, and beverages at 22.74%. The BMC elements are dominant because they prioritize the quality of taste (food and drinks) as well as the quality of packaging and clothing design, key activities, and key partners to build value propositions, then supported by accurate market segmentation and customer relationships followed by intensive promotion (Channel) so that a revenue stream occurs, in the form of increased sales (Omzet).

Application of Business Model Canvas in MSMEs in Karangwuni Village

This qualitative research, employing a literature review approach, examines the pivotal role of Micro, Small, and Medium Enterprises (MSMEs) in fostering economic development amidst the ongoing wave of globalization. Specifically focused on Karangwuni Village, the study elucidates how the adoption of the Business Model Canvas framework positively impacts MSMEs, fortifying their operational infrastructure and catalyzing avenues for sustainable expansion, thereby underscoring the significance of strategic frameworks in bolstering the resilience and growth trajectory of MSMEs within the broader economic landscape.

A Sectoral Analysis of BSE-Listed Indian Pharma Companies

Purpose: Investors, including domestic and international firms, venture capitalists, and financial institutions, rely on research to evaluate investment opportunities in the Indian pharmaceutical sector. Research helps assess factors such as market potential, company performance, R&D capabilities, regulatory environment, and risk-return profiles. Research plays a crucial role in guiding research and development (R&D) investments and priorities within the Indian pharmaceutical industry. By identifying unmet medical needs, emerging therapeutic areas, and technological advancements, research helps companies allocate resources effectively and focus on areas with the highest potential for impact and return on investment. The current research includes analysing financial statements, such as income statements and cash flow statements, to assess the profitability and earnings stability of pharmaceutical firms, and also investigate factors influencing EPS growth, such as revenue trends, cost structures, research and development (R&D) investments, regulatory environments, and market dynamics. Additionally, the study of DPS involves evaluating dividend payout ratios, dividend yield, dividend stability, and factors driving dividend decisions, including company profitability, cash flow generation, capital requirements, and shareholder preferences. Understanding the relationship between EPS and DPS in the Indian pharmaceutical sector provides valuable insights for investors, analysts, and policymakers in assessing the financial health, investment attractiveness, and shareholder value creation of pharmaceutical companies. Pharmaceutical companies listed on the Bombay Stock Exchange were selected for the study. Speculations were tested using ANOVA and T-TEST. The audit revealed that investors can invest in Dr. Reddys Laboratories, Abbott India, and Themis Medicare for their EPS to be maximum and Dr. Reddys Laboratories, Abbott India, and Novartis India for their DPS to be maximum. Methodology: Fifteen BSE-listed pharmaceutical companies are considered for the present research work and analysed by using EPS and DPS. Result: Selected Large, medium, and small Indian pharmaceutical companies listed on the BSE were the subjects of this study's analysis of their EPS and DPS. The websites of Money Control and the BSE provided the majority of the time series data used in the study on two different variables, EPS and DPS. Five years, from 2019 to 2020 to 2022–2023 are included in the analysis of the EPS and DPS. The BSE-listed Indian pharmaceutical businesses' EPS and DPS were examined in this study. Descriptive statistics (mean, standard error, standard deviation, skewness, and kurtosis) were computed for the determined EPS and DPS. An ANOVA test is run on the EPS and DPS data to find the differences between the chosen pharmaceutical businesses listed on the BSE. It is recommended that investors put their money into Abbott India, Themis Medicare, and Dr. Reddys Laboratories in order to maximise their EPS, and Novartis India, Abbott India, and Dr. Reddys Laboratories in order to maximise their DPS. Originality/Value: The BSE-listed Indian pharmaceutical businesses' EPS and DPS were examined in this study. Descriptive statistics (mean, standard error, standard deviation, skewness, and kurtosis) were computed for the determined EPS and DPS. Based on the study, the right companies for the investors are recommended. Paper Type: Exploratory research.

Can single disease payment impact hospitalization expenses and quality in district hospital? A case study in Fujian, China

BackgroundChina is exploring payment reform methods for patients to address the escalating issue of increasing medical costs. While most district hospitals were still in the stage of Single Disease Payment (SDP) due to conditions, there is a scarcity of research on comprehensive assessment of SDP. This study aims to evaluate the implementation of SDP in a district hospital, and provided data support and scientific reference for improving SDP method and accelerating medical insurance payment reform at district hospitals.MethodsData was collected from 2337 inpatient medical records at a district hospital in Fuzhou, China from 2016 to 2021. These diagnoses principally included type 2 diabetes, planned cesarean sections, and lacunar infarction. Structural variation analysis was conducted to examine changes in the internal cost structure and dynamic shifts in medical expenses for both the insured (treatment group) and uninsured (control group) patients, pre- and post-implementation of the SDP policy on August 1, 2018. The difference-in-differences (DID) method was employed to assess changes in hospitalization expenses and quality indicators pre- and post-implementation. Furthermore, subjective evaluation of medical quality was enhanced through questionnaire surveys with 181 patients and 138 medical staff members.ResultsThe implementation of SDP decreased the medical expenses decreased significantly (P < 0.05), which can also optimize the cost structure. The drug cost ratio descended significantly, and the proportion of laboratory fee rose slightly. The changes in infection rate, cure rate, and length of stay indicated enhanced medical quality (P < 0.05). The satisfaction of inpatients with SDP was high (89.2%). Medical staff expressed an upper middle level of satisfaction (77.2%) but identified difficulties with the implementation such as “insufficient coverage of disease types”.ConclusionAfter the implementation of SDP in district hospitals, considerable progress has been achieved in restraining medical expenses, coupled with notable enhancements in both medical quality and patient satisfaction levels. However, challenges persist regarding cost structure optimization and underutilization of medical resources. This study suggests that district hospitals can expedite insurance payment reform by optimizing drug procurement policies, sharing examination information, and strengthening the management of medical records.

Enhancing Business Competitiveness: Strategic Adaptation and Business Model Canvas Application in PT Maritim Maju

In this detailed analysis, we explore the strategic repositioning of PT Maritim Maju within the context of the global maritime industry’s ongoing transformation, influenced by technological advancements and economic shifts. This study meticulously applies the Business Model Canvas framework, incorporating Resource-Based View, VRIO, and SWOT analyses, to diagnose and propose necessary strategic enhancements for PT Maritim Maju. It underscores the imperative for the company to diversify its services beyond traditional maritime activities, suggesting an expansion into maritime consulting and logistics technology. Additionally, the research advocates for the integration of advanced technologies such as AI in fleet management, aiming to optimize route planning and implement predictive maintenance, thereby achieving cost efficiencies, enhanced service reliability, and superior customer satisfaction. Strategic partnerships are highlighted as crucial for leveraging technological innovation and expanding service capabilities. The study also recommends a reevaluation of marketing strategies, emphasizing the adoption of digital marketing techniques to better position PT Maritim Maju on the global stage, highlighting its commitment to safety, reliability, and customer service excellence. Furthermore, it stresses the importance of continuous staff development in leadership and maritime technology to foster a culture of innovation and strategic agility. Compliance with international regulations and a proactive risk management approach are advised to mitigate operational risks. This comprehensive strategic plan aims to guide PT Maritim Maju through the intricacies of the modern maritime landscape, capitalizing on new opportunities for growth and establishing a foundation for enduring competitiveness and resilience.

Reconsidering Sampling and Costs for Face-to-Face Surveys in the 21st Century

Abstract Some fundamental factors important for designing multistage face-to-face household surveys in the United States have not been reconsidered since they were established in the 1940s despite vast changes in all aspects of conducting these surveys. This research examines how some changes, particularly data sources and data collection costs, might affect sample designs. Modern data collection methods and tools, address-based household lists, multimode designs, and training and management methods are critical components in the cost structure of today’s surveys. We explore a sample design that uses Census tracts at the first stage rather than counties as traditionally used. The tract design then samples households directly without the additional stages of subsampling of segments in the traditional design. We present statistical and operational issues associated with the designs and discuss the cost implications. Our examination finds that, for household surveys in the United States that include face-to-face data collection, tract designs that have twice as many sampled first-stage units (but the same overall sample size) have roughly the same cost as the county design, with effective sample sizes in the range of about 25 percent higher to as much as four times higher than the county design.

Mobile-augmented Reality for Improving Student Entrepreneurial Mindset By Business Model Canvas

Modern humans’ existence is characterized by advances in information, communication, and technology. In the current digital era, augmented reality is one method that can be utilized to encourage learning. This study aims to establish how quickly The Business Model Canvas should be introduced through augmented reality to promote an entrepreneurial mindset for student. The methodology used is a survey of the literature, with a particular emphasis on cellular AR for learning and its use in cultural preservation. The exploratory mixed method is used. Researchers investigated data using a qualitative approach and analyzed it using a quantitative technique to generate measurements linked to the efficacy of augmented reality. Exploratory use is thought to be appropriate for developing new theories as well as testing existing ones. The method is called a systematic literature review (SLR). The SLR process includes the processes of problem formulation, information collecting and analysis, interpretation, arranging, and presentation. Using the Search Method Process (SP), data was gathered. Based on the findings of student trials, it is evident that the mobile-augmented reality produced increases student learning outcomes, which is consistent with the findings of Hsu, Wenting, and Hughes’ research. Therefore, mobile-augmented reality has the potential to boost interest in entrepreneurship education. Mobile-augmented reality is expected to increase student attention in entrepreneurship.&#x0D; Keywords: mobile augmented reality, business model, entrepreneurial

TRANSFORMATION OF THE BUSINESS MODEL OF TOURISM ACTIVITIES WITH THE INTRODUCTION OF BLOCKCHAIN TECHNOLOGY

Thanks to the ability of blockchain to form transparency of processes, it can become the basis of fundamental transformations in business relations in the tourism industry and radical transformations of business processes. In order for the potential of the blockchain in the tourism industry to be revealed most effectively, it is necessary to rebuild tourist business models based on it. The purpose of the presented research was to develop a conceptual business model of tourism industry enterprises operating on the basis of the blockchain platform. To achieve this goal, a redesign of the Osterwalder Canvas business model in the tourism sector was implemented on a blockchain platform. The main method of data collection was an expert survey conducted in the format of semistructured personal interviews. 12 respondents who are experts in the field of blockchain and tourism were selected to conduct the survey. The results of the study are reflected in the format of a business model. This study has several theoretical conclusions: firstly, the introduction of blockchain technology in tourism creates a new industry business model, secondly, the proposed model considers the tourism business market from a systemic point of view, thirdly, blockchain creates a unique opportunity to meet the needs of stakeholders and clients in the tourism sector through peer-to-peer interaction. The practical significance of the study is expressed in determining the important role of disintermediation and smart contracts in the tourism business model on the blockchain platform.

LOGISTICS OF EXPORT DELIVERY IN THE CONTEXT OF CROSS-BORDER TRADE

The article is devoted to one of the aspects of the formation of new export logistics, capable of responding to the challenges of a turbulent global economy. The authors analyze modern logistics problems of export supplies. Particular attention is paid to exports as an integral part of cross-border trade. The authors dwell not only on the general problems of logistics of export activities, but also identify the specifics of the logistics of cross-border trade, choosing as the object of study the countries of Greater Altai, which includes the border territories of the Russian Federation, Mongolia, the Republic of Kazakhstan and the People's Republic of China.&#x0D; The study analyzed the dynamics and structure of exports of the Russian Federation and the Altai Territory, and showed the features of new logistics in a turbulent economy. Given the high share of logistics costs in the overall cost structure of the production and sale of exported products, cross-border trade has advantages when it is carried out with lower logistics costs due to shorter transport routes and transportation times. The advantages of cross-border export include the absence of transit through the territories of third countries, which significantly reduces risks and simplifies information and customs logistics. Stable supply chains in cross-border trade in the Altai Territory, which have emerged as a result of many years of cooperation with the countries of Greater Altai, also help reduce risks and logistics costs.

Digital Sustainability for Human Resource Management Canvas Meta-Synthesis Approach

In the era of Digital Transformation (DT) and Sustainable Development (SD), the pivotal role of Human Resources (HR) in addressing business challenges has become increasingly evident. These challenges directly impact different HR departments and processes, prompting a need for a strategic overhaul. HR management should continuously adapt its service delivery model to align with the business model and create a balance between internal and external organizational expectations and employee needs, considering the two fundamental challenges of digital transformation and sustainable development, in an agile manner. The critical role of sustainable human resource management in fostering overall business sustainability is evident. However, in many cases, HR management has failed to recognize and demonstrate its cost structure, revenue flow, and social and environmental benefits transparently for the business. This research focuses on presenting the sustainable digital human resource management canvas and its connection to the business canvas to achieve sustainability in the digital era. Employing a qualitative research methodology, this study conducts a meta-synthesis of two pivotal concepts-sustainable human resource management and digital human resource management- leveraging data from reputable databases including Science Direct, Scopus, and Web of Science. Following meticulous screening and examination, a total of 17 articles from Q1-ranked journals were selected as the final articles for a more detailed and in-depth review. The findings from the meta-synthesis results consist of 5 dimensions and 23 components, ultimately presenting the sustainable digital human resource management canvas by modeling it after the business canvas. The distinct feature of this canvas, compared to other similar and conventional models, is the inclusion of individual sustainability in the value proposition and the creation of a digital value component, including artificial intelligence, the Internet of Things, and big data.

Condition monitoring of wind turbine faults: Modeling and savings

This paper presents a case study on condition monitoring of power generators at offshore wind turbines. Two fault detection models are proposed for detecting sudden changes in the sensed value of metallic debris at the generator. The first model uses an exponentially weighted moving average, while the second monitors first-order derivatives using a fixed threshold. This is expected to improve the maintenance activities by avoiding late or early part replacement. The economic impact of the proposed approach is also provided with a realistic depiction of the cost structure associated with the corresponding maintenance plan. While the specifics of the case study are supported by real-life data, considering the prevalence of the use of generators not only in offshore wind turbines but also in other production environments, we believe the case study covered in this paper can be used as a blueprint for similar studies in other applications.

Strengthening Culinary Micro-Enterprises Competitiveness Through SWOT Analysis and Business Model Canvas

The research objective is to analyze the culinary business situation in the city of Sintang and recommend new business strategies to increase the competitiveness of the culinary business. The method in this research is a mix method, namely combining a quantitative survey with many respondents to obtain SWOT input data and business models, with in-depth qualitative interviews with several key informants to deepen the survey results. The sample in the research was 150 culinary micro business actors using a purposive sampling technique. The results of research using the canvas business model are that culinary micro businesses have broad customer segments. Relations with consumers are direct and good. The value proposition is carried out by prioritizing product quality to improve performance. The main activity is marketing its products directly. Collaboration is carried out with several government and private offices in the city of Sintang. Costs used, fixed costs and variable costs and sole income from direct and online product sales. The SWOT analysis used to assess internal and external factors produces respective external and internal factor scores, where the internal strength factor scores 1.65, the internal weakness factor scores 1.01, the external opportunity factor scores 1.50, and the external threat factor scores 1.05. Based on the diagram, the culinary micro business strategy in Sintang city is in quadrant one, which means it supports aggressive strategies.

Business Strategic Realignment for a Sustainable Fashion Brand

Research Aims: This study aims to determine and formulate business strategies for House of Majik, an upcycling fashion brand, to redefine its business model as a sustainable fashion brand. &#x0D; Design/methodology/approach: This study uses a conceptual framework which uses several steps and tolls, such as business environmental scanning through external analysis (PESTEL, Porter’s Five Forces, and Competitor Analysis), Internal Analysis (Value-chain Analysis), Strategy Formulation (TOWS Matrix Analysis), and Redefining Business Model through Value Proposition Canvas and Business Model Canvas approach. &#x0D; Research Findings: Findings suggest House of Majik to adopt focus-differentiation business strategy, as the strategy is the most appropriate to leverage the exclusivity, creativity, and uniqueness inherent in an upcycling brand. Which affirmed by the value proposition of House of Majik to offer limited editions of upcycled pieces as distinctive products with reasonable prices.&#x0D; Keywords: business strategy; value proposition canvas; business model canvas; sustainable fashion; upcycling fashion

Articulating the Brand Value through Storytelling: Case Study of Oseng Balayar Company

Research Aims: A decrease in a company's sales can occur due to customer awareness of brand value. Creating a good brand value requires relevance to customer's needs and desires. However, creating brand value will only be successful if communicated well. This research aims to propose a brand communication strategy through storytelling to articulate the brand value.&#x0D; Design/methodology/approach: The methodology of this research use qualitative research methods which collected using the interview method conducted with nine customers, referring to the saturation method for the number of respondents. The data analysis of this research uses thematic analysis to understand the value proposition of customers and create company value related to customers, followed by business model innovation analysis using the business model canvas tools to capture and articulate the company's external value obtained from a customer perspective and combined with the company's internal values.&#x0D; Research Findings: This research uses the Oseng Balayar case study because this company has products with cultural values ​​and culinary heritage that can be communicated through storytelling. The results of this research are proposals for a storytelling concept that become a brand communication tool to increase customer awareness and engagement.&#x0D; Theoretical Contribution/Originality: The design of the storytelling concept was found through the slow storytelling method to articulate the company's value using value proposition and business model analysis.&#x0D; Keywords: Brand Value, Brand Communication, Value Proposition, Business Model Innovation, Brand Storytelling.

Developing business model with community groups for fire prevention and peatland restoration: a case study of Siak Regency

Forest and land fires are one of the main environmental challenges in Riau, that majority of its land covered by peatland. Therefore, the main challenge is to introduce fire-free alternatives to clearing agricultural land, while recognizing that local people lack the resources, knowledge, and technology on potential alternatives to zero-burning agriculture. A community-based business model for fire prevention and peatland restoration is urgently needed by making the community the main actor capable of generating value. This study aims to develop the alternative livelihood to support peatland restoration through Sustainable Business Model for the Community (SBMC) by applying Participatory Action Research (PAR). We conducted surveys, focus group discussions (FGDs), and field interviews as well as implemented Canvas Business Model (CBM) to identify the business component. Our finding showed that community groups were able to develop an agrosilvofishery business model that not only implement sustainable practices for land preparation without fire but also determined varieties of commodities that are ecologically and economically suitable for agroforestry techniques on peatlands. Hence, CBM is a suitable tool that helps in developing an integrated sustainable business model for community and can be applied in participative setting. CBM also ensured equity by identifying and agreeing on a cost structure and benefit sharing.

Levelized costs and potential production of green hydrogen with wind and solar power in different provinces of mainland China

Green hydrogen produced from renewable sources such as wind and photovoltaic (PV) power is expected to be pivotal in China's carbon neutrality target by 2060. This study assessed the potential production, levelized costs of hydrogen (LCOH), and the cost structure in diverse mainland Chinese provinces from 2020 to 2060. It considered various combinations of electrolysis technologies, specifically alkaline electrolysis (AE) and proton exchange membrane (PEM), in conjunction with green electricity sources. The analysis considers the technological learning effects of wind power, PV power, AE, and PEM. This study's primary conclusions and policy recommendations are as follows: (1) PV power would be the predominant energy for green hydrogen production in nearly all of mainland China, providing a potential 2.25–28 642.19 kt/yr hydrogen production in different provinces. (2) AE exhibits cost (with LCOH around 3.18–8.74 USD/kg) competitiveness than PEM (with LCOH around 3.33–10.24 USD/kg) for hydrogen production. Thus, policymakers are advised to focus on the PV power combined with the AE pathway for large-scale hydrogen production. PEM is suggested to be mainly used in cases with high power fluctuations and end devices. (3) The provinces (especially Inner Mongolia, Xinjiang, and Gansu Province) in the Northwest of China show the greatest potential (about 74.35%) and have the lowest LCOH (with around 3.18–4.78 USD/kg). However, these provinces are quite distant from existing energy demand hubs. Thus, decision-makers are advised to focus on developing long-distance transmission/transportation infrastructure for either green electricity or green hydrogen.

Product form solution for a queueing-inventory system with lost sales and phase type distribution of the vacation time

ABSTRACT In this paper, a continuous review s , S queueing-inventory system with lost sales is investigated. Customers arrive according to a Poisson process, and each arriving customer needs exactly one item from inventory for service. The server takes a single vacation once the inventory is depleted. It is assumed that the vacation time follows a phase type distribution, and the service time and the lead time follow exponential distributions. We obtain the product form solution for the steady-state distribution of the joint process of the queue length, the on-hand inventory level and the server’s status. Furthermore, the conditional distributions of the on-hand inventory level when the server is turned off due to a vacation and when it is turned on are derived, respectively. Some performance measures of the system are computed by using the steady-state distribution of system. Based on some performance measures, we develop a cost model and determine a total expected cost under an appropriate cost structure by using the genetic algorithm. The effects of various parameters on the optimal inventory policy and the optimal expected cost are investigated by numerical examples.

The Economic Burden of Epstein–Barr Virus Infection in the Russian Federation

Introduction: Epstein–Barr virus-related diseases are of great medical and social importance, which requires assessment of economic losses due to costs of medical care and sickness absenteeism. Objective: To propose a methodology for assessing economic damage and to use it for quantification of total damages caused by Epstein–Barr virus (EBV) infections in the Russian Federation in 2022. Materials and methods: The economic damage from EBV infections was determined using official statistics on cases of infectious mononucleosis (2022), upper respiratory tract infections, cardiac arrhythmias, atopic dermatitis, dorsopathy, chronic tonsillitis in the acute phase, cerebrovascular disease, psoriasis, and multisystem inflammatory syndrome associated with COVID-19. Results: Based on the methodology for assessing economic damages described in the article, we found that the total financial losses from EBV-associated diseases in the Russian Federation in 2022 amounted to 1,203.0 billion or 1.2 trillion rubles, which is significantly higher than similar values for all other registered infectious diseases with the exception of COVID-19. COVID-19-related multisystem inflammatory syndrome, upper respiratory tract infections, and cerebrovascular disease account for more than 90 % of all losses. The structure of total costs is dominated by indirect economic losses (1,096.75 billion rubles or 91.2 %) due to sickness absence from work. Conclusion: The findings allow us to outline directions of developing measures to reduce the economic damage from EBV-associated diseases.