Hasil untuk "Business records management"

Alex Escalante Viteri, Javier Gamboa Cruzado, Leonidas Asto Huaman

Business intelligence in the banking industry has been studied extensively in the last decade; however, business executives still do not perceive efficiency in the decision-making process since the management and treatment of information are very timeconsuming for the deliverer, generating costs in the process. On the other hand, there is no formal methodology for developing business intelligence solutions in this sector. This work aims to optimize decision-making in a business unit that works with internet banking companies, reducing the time, the number of people, and the costs involved in decision-making. To meet the objective, basic and applied research was conducted. The basic research allowed the construction of a new methodology from a study of critical success factors and approaches from the business intelligence literature. The applied research involved the implementation of a business intelligence solution applying the new methodology in a pre-experimental study. Thirty decision-making processes were analyzed using pre-test and post-test data. Tools such as a stopwatch and observation were used to collect and record data on time spent, the number of people, and the decision-making costs. This information was processed in the specialized Minitab18 statistical software, which allowed the observation and confirmation of relevant results regarding time reduction, the number of people, and the costs generated. Therefore, it was concluded that the business intelligence solution, applying the new methodology, optimized decision making in the business unit that works with internet banking for companies.

Bernard Putra Fajar Jaya Lase, Ardansyah Ardansyah

In preparing financial reporting, entrepreneurs can use financial accounting standards (SAK). Financial Accounting Standards (SAK) is a standard that regulates the process of preparing and presenting financial statements in order to create uniformity that can be understood by various stakeholders. However, not many MSME entrepreneurs apply financial accounting standards to manage their business financial reports. Improving the quality of financial reporting can support the effectiveness of business management. This study aims to look at the quality of financial reporting of Yera Reflexology and its impact on the effectiveness of business management. The Method have used qualitative descriptive. In this study using three techniques for data collection, namely data reduction, data presentation, conclusion drawing. From the results of research conducted at Yera Reflexology, it shows that the financial reporting carried out is still very simple and not in accordance with financial accounting standards. Yera reflection's financial report are still classified as very simple because business owners do not have knowledge of financial accounting standards for MSME so that business owners cannot present complete financial information.

М. М. Молдован

Фінансові результати, які відображаються у вигляді прибутків або збитків, є одним із найважливіших показників для визначення стійкості та конкурентоспроможності суб’єкта господарювання. Тому саме визначення та дослідження еволюції пізнання сутності фінансових результатів підприємства як об’єкта обліку та аналізу є важливим аспектом у процесі оцінки фінансової ефективності підприємства. Мета дослідження даного питання має суттєве значення як для наукового аналізу, так і для практичної діяльності підприємства у контексті сучасних економічних викликів. В статті проведено глибокий аналіз визначень «фінансовий результат» та здійснена спроба групування за основними аспектами: зіставлення доходів і витрат, оцінка результатів діяльності, зміна вартості власного капіталу, грошова форма вираження результатів тощо. Саме впорядкування даних підходів дозволило зрозуміти сутність поняття та його значення для обліку й аналізу. Одним із вадливих аспектів дослідження є представлення схеми інтерпретацій поняття «фінансові результати» різними авторами, що базуються на відмінних концептуальних поглядах, адже аналізуються різні школи думок, які трактують фінансові результати як кількісну характеристику, грошовий еквівалент підсумків діяльності або індикатор ефективності управлінських рішень. Особливу увагу приділено тому, як зміна у підходах до трактування фінансових результатів відображає розвиток економічної думки та методів аналізу господарської діяльності. Проаналізовано темпи зростання або зниження прибутку та збитків підприємств у відсотковому відношенні до періоду попереднього року. У статті наводиться аналіз показників фінансових результатів підприємств, що дозволяє виявити динаміку їх змін і оцінити вплив внутрішніх і зовнішніх факторів на їхню фінансову ефективність. Зокрема, наведено статистичні дані, що показують, як підприємства реагують на зміни економічної кон’юктури. Розглянуто фінансові результати діяльності підприємств, що зайняті в сільському господарстві за січень 2024 року. Оскільки дана галузь є важливою складовою економіки України, саме аналіз її фінансових результатів надає можливість оцінити поточний стан справ і перспективи розвитку. Відповідно до результатів зазначимо, що незважаючи на певні негативні тенденції в економіці, підприємства цього сектору виявляють гнучкість і здатність адаптуватися до нових умов. Стаття також акцентує увагу, що фінансові результати мають значний вплив на фінансове планування і прогнозування, що дозволить підприємствам краще розуміти свої можливості та вибудовувати стратегії на майбутнє.

М. В. Алдошина

У статті розглядаються моделі споживчої поведінки які описують процес прийняття рішень щодо споживання туристичних послуг на різних етапах. Зазначено що споживання туристичних послуг відноситься до складної або невпевненої споживчої поведінки, яка визначається високим рівнем ризиків в процесі вибору серед альтернативних варіантів та потребує ретельної підготовки та залучення більшої кількості учасників. Серед особливостей споживчої поведінки зазначені наступні відмінні характеристики: цілеспрямованість дій споживача; свобода вибору щодо обробки комунікаційних повідомлень рекламного характеру та надання зворотного зв’язку; послідовність взаємопов’язаних етапів; можливість впливу на споживача та зміну намірів щодо альтернативних варіантів вибору на різних етапах. Визначено що моделі споживчої поведінки в туризмі на сучасному етапі приділяють особливу увагу стадіям: підготовки, пошуку та оцінці післякупівельного споживання. Стадія споживчого пошуку та підготовки може тривати від одного до трьох місяців в залежності від різних умов та видів подорожі. Такий тривалий період підкреслює важливість інформаційного та рекламного забезпечення споживачів за усіма комунікаційними каналами туристичного підприємства або дестинації. В результаті аналізу моделей визначено чотири групи факторів впливу на споживчі рішення в туризмі: зовнішні та внутрішні фактори, характер запланованої подорожі та післякупівельна оцінка отриманих вражень. Систематизація факторів надає змогу виробникам туристичних послуг більш точно визначити ціннісні характеристики пропозиції та забезпечувати високий рівень клієнтоорієнованості. Зазначено, що як внутрішні соціальні фактори, такі як стадія життєвого циклу, соціальний клас, референтні групи та родина, спричиняють значний вплив на поведінку спожива. Так і зовнішні фактори тяжіння, які стосуються загальних характеристик та іміджу дестинацій, суттєво впливають на прийняття остаточного рішення щодо вибору  місця призначення. Визначені особливості поведінки споживачів на туристичному ринку, систематизація факторів впливу та послідовність етапів прийняття рішень забезпечує високу таргетованість налаштувань інструментів маркетингової стратегії просування та сприяє підвищенню рівня конверсії та фактичних продажів.

Nicoleta Valentina FLOREA, Gabriel CROITORU, Alina Stefania STROE

The article provides a concise yet significant overview of the emotional and financial well-being of employees at work, categorized as soft and hard aspects. Well-being is a multidisciplinary topic, now seen at the workplace as a factor in performance. Employee well-being is crucial not only for the individuals but also for the organizations, with a correlation between emotional and financial well-being and job satisfaction being assessed. Additionally, the study examined the impact of three variables - gender, age, and organization - on job satisfaction. The analysis, utilizing SPAS and R square, revealed that there is no significant association between gender (2.3%), age (0.9%), and organization (0.5%) and job satisfaction. Only a small percentage, ranging from 0.5% to 2.3%, of the variance in job satisfaction can be explained by these three variables. Furthermore, it was found that the emotional and financial well-being of employees significantly influences job satisfaction. A substantial 99.5% of the variance in these two types of well-being is linked to job satisfaction, making them strong predictors. This leads to increased job satisfaction among employees, resulting in enhanced performance at work. This mutually beneficial scenario is achieved through the use of simulation and forecasting, two methods that are both simple and complex. Organizations and their managers can use this as a starting point to comprehend the soft and hard aspects of achieving well-being and satisfaction at work to enhance performance.

Irfan alimirzaei, Seyyed Mahmoud hoseini

The current research aimed to identify the functional areas with relative advantage to help empower and develop private agricultural extension consultants and related economic enterprises at the level of two provinces of Tehran and Alborz. Based on this, considering the possibility of applying the findings in the field of practice, this research is among the decision-oriented applied research in terms of general orientation and goal. From the point of view of the researcher's degree of control over the variables under study and the background conditions of the research, it is considered a type of non-experimental research that describes the phenomena under investigation in a single period of time. The statistical population of the research included 25 key experts from the public and sectors, whom were purposefully selected and examined. The research method was based on documentary studies, semi-structured interviews, and quantitative survey using a researcher-made questionnaire. In order to identify functional gaps in the field of performance of private promotion companies, or in other words, to identify the degree of relative advantage of the various service delivery areas of the mentioned companies in the region, the weighted average score of the differences using the needs assessment relationship was calculated. Based on the findings from the analysis of the opinions of knowledgeable sample people and the calculated relative advantages, "advertising, stimulating, organizing and strengthening the demand dimension for research and development processes and agricultural innovations" is the most prioritized; and "Implementation of monitoring and evaluation plans to ensure the quality of promotion and evaluation services from active businesses in the region" were identified as the least priority service areas for focusing on the role of private agricultural consultants in the region.

Д. В. Крилов

У статті розкрито значення праці людини для розвитку національної економіки. Визначено, що головне завдання ринку праці полягає у раціональному використанні наявних трудових ресурсів, зниження рівня безробіття та забезпечення зростання добробуту населення. В результаті аналізу динаміки чисельності зайнятого та безробітного населення в Україні за 2014-2021 роки з’ясовано, що чисельність зайнятих поступово зменшується й за досліджуваний період складає приблизно 16%. У той час, кількість безробітних навпаки збільшується. Значну увагу приділено змінам, які зазнав ринок праці внаслідок розгортання повномасштабної війни на території України. Обґрунтовано, що через міграцію населення з прифронтових та тимчасово окупованих територій, скорочення або припинення діяльності малого та середнього бізнесу, зменшення трудових доходів, зниження економічної активності ринок праці відчув значний дисбаланс, коли попит на працю став значно нижчий за її пропозицію.

Ali Asgar Halvaei, Mahdi Ebrahimi

Introduction: Today, one of the best tools available for value chain engineering is applying the practical lessons of business models. By analyzing a business model, the processes of development, presentation and receipt of value by a company can be improved. Although many companies operating in different industries of the country have increasingly turned to the analysis of their business models, the issue is moving forward at a lower speed in the pharmaceutical industry. Numerous new business models have been developed or renovated in today’s changing business environment. The development and renovation of new business models are not a matter of choice but a necessity in order to survive in an environment whose rules of the game are constantly changing. In such a situation, the greatest challenge posed to organizations is developing a framework through which an accurate understanding of the dimensions and components of their business models can be achieved and a point of reference can be offered to compare their business models with those of the competing companies to enable innovation and outperformance. The main focus of this study is to find a practical framework for pharmaceutical companies so as to identify and compare the key features of their business models with those of active competitors, hence to understand the strengths and positive qualities of other models and overcoming their weaknesses.In this study, the latest scientific findings about the business models of pharmaceutical companies are presented, and the common types of these business models are identified using taxonomy (experimental typology) to achieve a more comprehensive and accurate view of the dynamics of this business model in companies.Methodology: The statistical population of this study included all the Iranian companies producing human drugs that have had a competitive product in the growth stage. The study was conducted in two phases, content analysis and quantitative phase. Initially, semi-structured interviews during the content analysis phase revealed a comprehensive framework for the dimensions and components of the business model of Iranian pharmaceutical companies, and then, through quantitative surveys and in-person questionnaires, the business model of each pharmaceutical company was identified. The sampling method in the qualitative part of the research was judged after 19 theoretical saturation interviews, and the quantitative research became available. By using the PASS software, an optimal sample of 40 companies was adopted. In this study, the empirical classification (taxonomy) approach, rather than the ideal classification (typology), was used to identify various business models. In clustering methods, since the data are classified irrespective of any presupposition or predetermined framework, the fuzzy c-means (FCM) clustering algorithm serves as the most appropriate tool to attain the typological objective of this study.Results and Discussion: Finally, by fuzzy clustering with the MATLAB software, four distinct variants of the business model were identified for the pharmaceutical companies, each having significant differences in the key features of the business models with the other types. These four types included Diverse Effectiveness, Concentrated Effectiveness, Diverse Effectiveness, Concentrated Effectiveness. The identified types have specific similarities and differences in each business model dimension and component which can be concisely compared as follows based on their key features including concentration on quality rather than on efficiency, extent of relationships in various areas such as sales, marketing, and raw material supply.Conclusion: The competitive pharmaceutical products in Iran can be categorized in four distinct types in terms of the characteristics of their business model. These models have different characteristics in terms of the amount of value proposition, the processes of shaping the value architecture, the mechanisms for interaction with different groups of customers and value acquisition methods. Finally, these types of business models were named based on their proprietary features as: diversified effective, focused effective, diversified efficient and focused efficient. The first business model type was labeled “diversified effective” as it is greatly focused on quality and extensive relationships with various stakeholders of the value chain. Companies such as CinnaGen, Exir, SobhanDarou, DarouPakhsh, Osvah, and Samisaz had the greatest degree of membership in this business model type. The second type was labeled “diversified efficient” as it is highly concentrated on cost control and extensive relationship maintenance with the value chain stakeholders. Companies such as ParsDarou, TehranShimi, AlborzDarou, TehranDarou, and Actoverco had the greatest degree of membership in this business model type. The third type was labeled “focused efficient” and included such pharmaceutical companies as Hakim, CaspianTamin, Sepidaj, Loghman, and Jalinous which had the greatest degree of membership in this business model type. Finally, the fourth type was labeled “focused effective” and involved companies such as Shafa, Ronak, DinehIran, and Modava with the greatest degree of membership therein.

Ghulam Qadar Butt, Toqeer Ali Sayed, Rabia Riaz et al.

The transfer of information is a demanding issue, particularly due to the presence of a large number of eavesdroppers on communication channels. Sharing medical service records between different clinical jobs is a basic and testing research topic. The particular characteristics of blockchains have attracted a large amount of attention and resulted in revolutionary changes to various business applications, including medical care. A blockchain is based on a distributed ledger, which tends to improve cyber security. A number of proposals have been made with respect to the sharing of basic medical records using a blockchain without needing earlier information or the trust of patients. Specialist service providers and insurance agencies are not secure against data breaches. The safe sharing of clinical records between different countries, to ensure an incorporated and universal medical service, is also a significant issue for patients who travel. The medical data of patients normally reside on different healthcare units around the world, thus raising many concerns. Firstly, a patient’s history of treatment by different physicians is not accessible to the doctor in a single location. Secondly, it is very difficult to secure widespread data residing in different locations. This study proposed record sharing in a chain-like structure, in which every record is globally connected to the others, based on a blockchain under the suggestions and recommendations of the HL7 standards. This study focused on making medical data available, especially of patients who travel in different countries, for a specific period of time after validating the required authentication. Authorization and authentication are performed on the Shibboleth identity management system with the involvement of patient in the sanction process, thereby revealing the patient data for the specific period of time. The proposed approach improves the performance with respect to other record sharing systems, e.g., it reduces the time to read, write, delete, and revoke a record by a noticeable margin. The proposed system takes around three seconds to upload and 7.5 s to download 250 Mb of data, which can contain up to sixteen documents, over a stable network connection. The system has a latency of 413.76 ms when retrieving 100 records, compared to 447.9 and 459.3 ms in previous systems. Thus, the proposed system improved the performance and ensured seclusion by using a blockchain.

Inna Yakushko

У статті проаналізовано особливості здійснення державного регулювання економіки в умовах активного впровадження сучасних інформаційно-комунікаційних технологій. Проаналізовано сутність таких категорій, як «державне регулювання економіки», «цифрова економіка». З урахуванням цього сформульовано визначення поняття «державне регулювання розвитку цифрової економіки». Також розглянуто сутність категорії «механізм державного регулювання економіки», визначені його базові компоненти. Це дозволило конкретизувати особливості здійснення такого виду регулювання в епоху становлення цифрової економіки. У статті обґрунтовано, що сьогодні в господарському житті існує значна кількість потенційних  напрямків підтримки органами державної влади процесів впровадження інформаційно-комунікаційних технологій. Такі напрямки були ідентифіковані та систематизовані.

Deepika Saxena, Ishu Gupta, Ashutosh Kumar Singh et al.

Cloud computing has become inevitable for every digital service which has exponentially increased its usage. However, a tremendous surge in cloud resource demand stave off service availability resulting into outages, performance degradation, load imbalance, and excessive power-consumption. The existing approaches mainly attempt to address the problem by using multi-cloud and running multiple replicas of a virtual machine (VM) which accounts for high operational-cost. This paper proposes a Fault Tolerant Elastic Resource Management (FT-ERM) framework that addresses aforementioned problem from a different perspective by inducing high-availability in servers and VMs. Specifically, (1) an online failure predictor is developed to anticipate failure-prone VMs based on predicted resource contention; (2) the operational status of server is monitored with the help of power analyser, resource estimator and thermal analyser to identify any failure due to overloading and overheating of servers proactively; and (3) failure-prone VMs are assigned to proposed fault-tolerance unit composed of decision matrix and safe box to trigger VM migration and handle any outage beforehand while maintaining desired level of availability for cloud users. The proposed framework is evaluated and compared against state-of-the-arts by executing experiments using two real-world datasets. FT-ERM improved the availability of the services up to 34.47% and scales down VM-migration and power-consumption up to 88.6% and 62.4%, respectively over without FT-ERM approach.

Shuvrangshu Jana, Debasish Ghose

This paper proposes optimal lockdown management policies based on short-term prediction of active COVID-19 confirmed cases to ensure the availability of critical medical resources. The optimal time to start the lockdown from the current time is obtained after maximizing a cost function considering economic value subject to constraints of availability of medical resources, and maximum allowable value of daily growth rate and Test Positive Ratio. The estimated value of required medical resources is calculated as a function of total active cases. The predicted value of active cases is calculated using an adaptive short-term prediction model. The proposed approach can be easily implementable by a local authority. An optimal lockdown case study for Delhi during the second wave in the month of April 2021 is presented using the proposed formulation.

Christine L. Borgman, Philip E. Bourne

Implementation plans for the National Institutes of Health policy for data management and sharing, which takes effect in 2023, provide an opportunity to reflect on the stakeholders, infrastructures, practice, economics, and sustainability of data sharing. Responsibility for fulfilling data sharing requirements tends to fall on principal investigators, whereas it takes a village of stakeholders to construct, manage, and sustain the necessary knowledge infrastructure for disseminating data products. Individual scientists have mixed incentives, and many disincentives to share data, all of which vary by research domain, methods, resources, and other factors. Motivations and investments for data sharing also vary widely among academic institutional stakeholders such as university leadership, research computing, libraries, and individual schools and departments. Stakeholder concerns are interdependent along many dimensions, seven of which are explored: what data to share; context and credit; discovery; methods and training; intellectual property; data science programs; and international tensions. Data sharing is not a simple matter of individual practice, but one of infrastructure, institutions, and economics. Governments, funding agencies, and international science organizations all will need to invest in commons approaches for data sharing to develop into a sustainable international ecosystem.

Dietmar Pfeifer, Vivien Langen

In this study, we will discuss recent developments in risk management of the global financial and insurance business with respect to sustainable development. So far climate change aspects have been the dominant aspect in managing sustainability risks and opportunities, accompanied by the development of several legislative initiatives triggered by supervisory authorities. However, a sole concentration on these aspects misses out other important economic and social facets of sustainable development goals formulated by the UN. Such aspects have very recently come into the focus of the European Committee concerning the Solvency II project for the European insurance industry. Clearly the new legislative expectations can be better handled by larger insurance companies and holdings than by small- and medium-sized mutual insurance companies which are numerous in central Europe, due to their historic development starting in the late medieval ages and early modern times. We therefore also concentrate on strategies within the risk management of such small- and medium-sized enterprises that can be achieved without much effort, in particular those that are not directly related to climate change.

Bo Zhou, Hongsheng Zeng, Yuecheng Liu et al.

Maintaining the stability of the modern power grid is becoming increasingly difficult due to fluctuating power consumption, unstable power supply coming from renewable energies, and unpredictable accidents such as man-made and natural disasters. As the operation on the power grid must consider its impact on future stability, reinforcement learning (RL) has been employed to provide sequential decision-making in power grid management. However, existing methods have not considered the environmental constraints. As a result, the learned policy has risk of selecting actions that violate the constraints in emergencies, which will escalate the issue of overloaded power lines and lead to large-scale blackouts. In this work, we propose a novel method for this problem, which builds on top of the search-based planning algorithm. At the planning stage, the search space is limited to the action set produced by the policy. The selected action strictly follows the constraints by testing its outcome with the simulation function provided by the system. At the learning stage, to address the problem that gradients cannot be propagated to the policy, we introduce Evolutionary Strategies (ES) with black-box policy optimization to improve the policy directly, maximizing the returns of the long run. In NeurIPS 2020 Learning to Run Power Network (L2RPN) competition, our solution safely managed the power grid and ranked first in both tracks.

Rachel D. Scarlett, Mangala Subramaniam, Sara K. McMillan et al.

Stormwater has immense impacts on urban flooding and water quality, leaving the marginalized and the impoverished disproportionately impacted by and vulnerable to stormwater hazards. However, the environmental health concerns of socially and economically marginalized individuals are largely underestimated. Through regression analysis of data from three longitudinal surveys, this article examines if and how an individual's race, gender, and education level help predict one's concern about and willingness to participate in stormwater management. We found that people of color, women, and less-educated respondents had a greater willingness to participate in stormwater management than White, male, and more-educated respondents, and their concern about local stormwater hazards drove their willingness to participate. Our analysis suggests that physical exposure and high vulnerability to stormwater hazards may shape an individual's concern about and willingness to participate in stormwater management.

Kwangmin Jung, Donggyu Kim, Seunghyeon Yu

This paper proposes a dynamic process of portfolio risk measurement to address potential information loss. The proposed model takes advantage of financial big data to incorporate out-of-target-portfolio information that may be missed when one considers the Value at Risk (VaR) measures only from certain assets of the portfolio. We investigate how the curse of dimensionality can be overcome in the use of financial big data and discuss where and when benefits occur from a large number of assets. In this regard, the proposed approach is the first to suggest the use of financial big data to improve the accuracy of risk analysis. We compare the proposed model with benchmark approaches and empirically show that the use of financial big data improves small portfolio risk analysis. Our findings are useful for portfolio managers and financial regulators, who may seek for an innovation to improve the accuracy of portfolio risk estimation.

Prateek Pandey, Ratnesh Litoriya

Records, irrespective of their nature (whether electronic or paper-based), are vulnerable to fraud. People's hard-earned money, their personal information, identity, and health are at a higher risk than ever due to the misuse of technology in doing forgery. However, the technology can also be used as an answer to counteracting against fraudulence prevalent in affairs from every walk of life. This short paper attempts to present the blockchain technology as a solution to overcome the menace of forgery by promoting trustless computing in business transactions. The paper explains the blockchain technology and a variety of its implementation through five different use cases in the field of drug supply chain, health insurance, land record management, courier services, and immigration records. The immigration blockchain is also proposed as a solution to check pandemic like the coronavirus (COVID-19) effectively. The implementation of the Blockchain is performed using a locally built IBM’s hyper-ledger fabric-based platform, and Ethereum public platform. The results are encouraging enough to substitute existing business operations using Blockchain-based solutions.

Ioana-Andreea CIOLOMIC, Ioana Natalia BELEIU

The importance of decentralised entities strongly increased in the recent period of time due to a stringent need for effective, efficient and high quality public services (Papenfuss and Schmidt, 2015). The aim of the paper is to investigate the difficulties and challenging of self-regulating techniques faced by state-owned enterprises in the context of contemporary transformations. The research presented in this article is mainly qualitative. By conducting this literature review, our work has achieved a twofold objective of contributing to the current body of knowledge from two perspectives: the debate on the difficulty of including these types of companies in the public or private sector, the governments’ challenges to demonstrate their accountability in the context of state-owned enterprises appearance

Nkholedzeni Sidney Netshakhuma