Business Process Optimization Research Articles

Implementation of a Customer Relationship Management Information System in the Activities of an IT Company Using the Example of Trust LLC

The main topic of the work is the implementation of a customer relationship management information system in the activities of an IT company. The object of the study is TRUST LLC. The problem that the work solves is the need to optimize the customer relationship management process to increase the competitiveness and efficiency of the company in the IT field. The purpose of the work is to analyze the possibilities and effectiveness of implementing a customer relationship management information system using the example of the activities of TRUST LLC and offer recommendations for its use. The results of the work include an analysis of the current situation in the company, an assessment of the capabilities and advantages of using the information system, as well as the development of recommendations for using this system to optimize the customer relationship management process. As a result of the implementation of the information system, it is expected to improve the quality of customer service, improve the analysis and forecasting of their needs, as well as optimize business processes within the company.

Comparative analysis of approaches to assessing the market cost of business in domestic and foreign practice

The greatest demand in the modern world is for business valuation service. Valuation activity makes it possible to identify the important characteristics of a particular business which is necessary for making management decisions by company owners. The results of business valuation are used to determine existing perspectives: the presence of investment opportunities, ways to optimise business processes, need to expand business activities, etc. According to statistics, several decades ago, business valuation was conducted in no more than 10 % of cases. Currently, on the contrary, more than 90 % of companies are interested in regular valuation. However, the widespread demand for business valuation has made it possible to find a number of pressing problems that need to be solved in the future. One of the most serious сhallenges is the existence of problem areas in the national legal framework. The work examines the process of business valuation using basic methods and approaches, analyses the foreign experience on the research topic and also valuates a domestic enterprise in different ways. The authors concluded that it is necessary to choose the method that can be most effective in valuating a particular enterprise in particular conditions.

The Progress and Future of Artificial Intelligence in Nursing Care: A Review

Introduction The utilization of novel technologies in contemporary times not only reduces the cost associated with healthcare but also improves the efficiency of hospital resources and elevates the standard of medical assistance. One of the new technologies used in the field of health is Artificial Intelligence (AI). The purpose of this study is to investigate the application of AI in the field of nursing. Materials and Methods The present investigation was conducted in the year 2023 utilizing a review methodology and an innovative scientific inquiry. Comprehensive research was performed in reliable databases such as PubMed, Scopus, Google Scholar, Science Direct, and Springer, using the keywords AI, smart hospital, nursing, and health care to accomplish the intended objectives. From 2016 to 2023,120 articles were chosen as the initial selection. Studies that were not related to the subject matter were excluded from the analysis afterward. Results After searching and eliminating duplicate articles through objective screening, a total of 98 articles were reviewed, with 63 ultimately selected for the study. Within the realm of nursing care, research has been conducted in various areas, such as electronic health records (13 studies), health information collection and analysis (27 studies), healthcare cost analysis (16 studies), and the implementation of smart technology and hospitals (7 studies). The integration of AI technology has shown promise in enhancing nursing care by reducing diagnostic errors, improving emergency response times, improving patient care quality and psychological support, and enabling remote care for elderly patients through the use of smart technology. Conclusion AI is a significant technological advancement that can directly impact the operational effectiveness of healthcare organizations. This is achieved through the optimization of healthcare business processes and the enhancement of patient safety. However, limited research has been conducted regarding the affordability and economic aspects of AI implementation. Therefore, it is advisable for healthcare policymakers to establish the necessary infrastructure to leverage this technology, which will facilitate a more effective therapeutic and economic approach.

Prospects of business process management based on chatbots

The relevance of the study is due to the growing need to use chatbots to optimize business processes. The purpose is to form a theoretical basis and practical tools for increasing the efficiency of using chatbots in business processes. The theoretical basis involves substantiating the theoretical foundations of forming a conditional chatbot profile for an optimization system. The practical toolkit includes chatbot components that depend on the complexity of tasks, the type of services, the specifics of customers, financial conditions, and other features of business processes. The result is the formation of a system profile of the chatbot, which would allow increasing the efficiency of its use in business processes. The key system components of the chatbot are substantiated: the technologies used, types of users, optimal areas of application, application algorithms, basic tools, and limitations in application. By varying the parameters of system components, one can choose their optimal values to increase the efficiency of using chatbots in business processes. It is advisable to use the specified system in business processes when determining the demand for products and their sales. The use of chatbots allows to reduce the time to complete business processes, personnel costs, and resources related to their implementation. AcknowledgmentThe paper was prepared in the framework of the research projects “Fundamental grounds for Ukraine’s transition to a digital economy based on the implementation of Industries 3.0; 4.0; 5.0” (No. 0124U000576) and “Digital transformations to ensure civil protection and post-war economic recovery in the face of environmental and social challenges” (No. 0124U000549).

GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networks

Anomalies in business processes are inevitable for various reasons such as system failures and operator errors. Detecting anomalies is important for the management and optimization of business processes. However, prevailing anomaly detection approaches often fail to capture crucial structural information about the underlying process. To address this, we propose a multi-Graph based Anomaly detection fraMework for business processes via grAph neural networks, named GAMA. GAMA makes use of structural process information and attribute information in a more integrated way. In GAMA, multiple graphs are applied to model a trace in which each attribute is modelled as a separate graph. In particular, the graph constructed for the special attribute activity reflects the control flow. Then GAMA employs a multi-graph encoder and a multi-sequence decoder on multiple graphs to detect anomalies in terms of the reconstruction errors. Moreover, three teacher forcing styles are designed to enhance GAMA’s ability to reconstruct normal behaviours and thus improve detection performance. We conduct extensive experiments on both synthetic logs and real-life logs. The experiment results demonstrate that GAMA outperforms state-of-the-art methods for both trace-level and attribute-level anomaly detection.

Data to Decisions: Optimizing E-commerce Sales Potential with Analytics

Descriptive, diagnostic, predictive, and prescriptive analytics play crucial roles in optimizing the performance and user experience of an e-commerce site. Descriptive analytics involves examining historical data to gain insights into past performance, enabling businesses to identify trends, patterns, and anomalies. This analysis helps in understanding what has happened, such as identifying popular products or peak sales periods, and provides a foundation for further analysis. Diagnostic analytics goes beyond descriptive analytics by examining why certain events occurred, identifying factors that influenced outcomes, and uncovering strengths, weaknesses, and areas for improvement within an e-commerce platform. Predictive analytics utilizes statistical algorithms and machine learning techniques to forecast future trends and outcomes, enabling businesses to anticipate customer preferences, demand for specific products, and potential sales opportunities. By leveraging predictive insights, e-commerce sites can adjust strategies, inventory levels, and marketing campaigns proactively to stay ahead of the competition and meet evolving customer needs. Prescriptive analytics takes predictive insights to the next level by recommending specific actions or strategies to optimize business processes and achieve desired outcomes. This could involve personalized product recommendations, targeted marketing strategies, or dynamic pricing adjustments based on real-time data analysis. By harnessing these four types of analytics, e-commerce businesses can make informed, data-driven decisions, enhance customer experiences, drive sales growth, and maximize profitability.

СРАВНИТЕЛЬНЫЙ АНАЛИЗ ОТЕЧЕСТВЕННОГО ПО В СФЕРЕ ЛОГИСТИКИ

Current trends in the development of logistics emphasize the importance of using software to optimize business processes. In the context of global competition and sanctions pressure, Russian companies face the challenge of choosing between foreign and domestic software products. This article is a comparative analysis of three leading foreign and three Russian software products in the field of logistics, evaluating their functionality, flexibility of settings, integration and economic impact of use. Special attention is paid to aspects related to sanctions and the impact of the national economy.

Perancangan Enterprise Arsitektur Menggunakan TOGAF ADM Di Bea Cukai Tanjung Pandan pada Aplikasi SIMPORA

The web-based SIMPORA Customs Tanjung Pandan application is an efficient solution for optimizing annual budgeting business processes. Customers can easily get the latest information about the services provided in real-time. So it is hoped that it can improve performance significantly. To develop it, several data collection techniques were used, namely by conducting in-depth interviews, making observations and documenting them. Meanwhile, the research methodology is TOGAF ADM 9.1. This method is known to be the best method that can develop architecture in a structured and reliable manner. Several types of diagrams that help in designing this system are Value Chain, BPMN, Context Diagram, Use Case, and Class Diagram. It is hoped that this enterprise architecture design will enable budgeting to be monitored and improved immediately by stakeholders. The result of this research is an enterprise architecture design to support business processes at Tanjung Pandan Customs and Excise. It is hoped that various budgeting errors and design inaccuracies can be reduced and eliminated with this application, so that it can support the optimization of this institution's business processes.

Антикризова трансформація стратегій підприємницьких структур та організаційно-економічний механізм їх реалізації

The article presents the results of the analysis of scientific publications containing definitions and approaches to determining the content of strategy concepts, strategic and anti-crisis management, organizational and economic mechanism. It has been established that the high degree of negative impact of crisis factors determines the growth of exogenous determinism of business structure strategies, the reduction of planning time horizons and their acquisition of the functional content of anti-crisis management. The organizational and economic mechanism for the implementation of anti-crisis strategies acquires an additional functional purpose, which is related to the monitoring and assessment of military threats in the process of determining long-term and functional goals. The transformation of the economic component of the mechanism involves the optimization of the enterprise's business processes, which ensures its resistance to external destabilizing influences.

Problems of defining the concept and nature of virtual assets as an object of legal regulation in economic activity in Ukraine

The article reveals the problem of defining the concept and nature of virtual assets through the prism of their legal regulation at the national and international levels. The factors determining the use of virtual assets in economic activity around the world and, accordingly, the relevance of the chosen topic of scientific research are determined: informatization of all areas of social life, technological boom, emergence of new information and communication technologies, which can significantly optimize business processes, globalization processes in the international economy, etc. Attention is focused on the lack of a unified approach to defining the concept and legal nature of a virtual asset and the presence of various approaches to solving this issue in national and foreign science of law: identification of virtual assets with the category of virtual currency; definition of a virtual asset through the concept of "information” or "data”; distinguishing the categories "virtual currency” and "virtual assets” as a part and a whole, etc.
 A conclusion was made about the importance of using the classification of virtual assets according to the criterion of their functional purpose for the formation of the mechanism of their differentiated legal regulation. Attention is also focused on the lack of a single legal approach to determining the essence of virtual assets in the Ukrainian legal system. There were analyzed relevant provisions of the Law of Ukraine "On Virtual Assets”, the draft Concept of State Policy in the Field of Virtual Assets, drafts of the Law "On the Circulation of Cryptocurrencies in Ukraine” No. 7183 dated 06.10.2017, the Law "On Stimulating the Market of Cryptocurrencies and Their Derivatives in Ukraine” No. 7183 dated 10.10.2017 and the Law "On Amendments to the Tax Code of Ukraine (regarding stimulation of the market of cryptocurrencies and their derivatives in Ukraine)” No. 7246 dated 30.10.2017 in the article. Attention is also focused on the need to harmonize the provisions of the Civil Code of Ukraine and the Law of Ukraine "On Virtual Assets” in terms of defining a virtual asset as an object of civil rights. As the conclusions of the conducted scientific research, the author identified the conceptual problems of defining the essence and nature of virtual assets as an object of legal regulation and proposed specific ways to solve some of them, namely: specification of the legal definition of virtual assets in the Law of Ukraine No. 2074-IX; consolidation of the legal definition of the nature of the virtual asset; legislative consolidation of activity in the field of virtual assets and virtual currencies in the Classifier of types of economic activity, etc.

Application of sensor-based speech data mining in E-commerce operations data analysis

With the rapid development of the e-commerce industry, enterprises need to effectively manage and analyze various operational data to support decision making and optimize business processes. Sensor technology is widely used in e-commerce environment, which can collect a lot of voice data and extract valuable information through data mining technology. The study presents the current background and trends of the e-commerce industry, with a focus on the importance and challenges of operational data analytics. A sensor-based voice data mining framework is proposed. Sensors are first used to collect voice data and turn it into a digital signal that can be used for analysis. Then the data mining algorithm is used to process and analyze the voice data, and a series of results about e-commerce operation are obtained. Analyze voice data to help companies develop effective marketing strategies, improve product quality, and optimize supply chain management. This study proves the role of sensor-based voice data mining in e-commerce operational data analysis. By harnessing the full potential of voice data, businesses can better understand and meet customer needs, improve competitiveness and performance. This research result has practical significance for the development of e-commerce industry, and provides guidance and reference for the research and practice in related fields.

Performance Assessment of Business Process Optimization Algorithms Using a Prototype Dataset Generator

Modern approaches of business administration consider processes as the fundamental element for the structure of a company that pursues high competitiveness and profitability. Hence, the implementation of effective processes has become a major concern, in an attempt to develop methodologies for their continuous improvement with respect to predefined evaluation criteria. Considering that an optimization method needs to be evaluated systematically in terms of performance and accuracy, the aim of this paper is the development of a generator that can construct synthetic test problems of diverse size and difficulty, employing well-defined complexity parameters derived from the Graph Theory and where a business process design is represented as a two-terminal-directed acyclic graph. However, a plethora of different formulations regarding the process optimization problem that have been presented in the relevant literature motivated our research to consider the target model of the generator as an ideal case, which can be derived by the aforementioned formulations after reducing some of their constraints. The experimental evaluation demonstrates how different value settings of the complexity parameters affect the difficulty of the generated instances, proving the capability of the proposed generator to create test sets of varying complexity.

Development of digital financial instruments and their use in the activities of entities of the pharmaceutical industry of Ukraine


 
 
 The pharmaceutical industry of Ukraine is an important component of its economy and the health of its population. At all stages of its development, it was and remains the centre of innovations, where the scientific and technological potential of the region is concentrated.
 Theoretical and practical aspects of the development of innovative digital financial instruments and financial support were investigated and on their basis the activities of enterprises of the pharmaceutical industry in the conditions of the digital economy and electronic commerce as the most perspective segment of the modern market in the conditions of restrictions on direct contacts and the movement of people due to measures to combat the pandemic have been studied, military actions and security of people have been studied. It was determined that financial instruments can be conditionally divided into traditional and digital. They have similar content, functions, and features, however, they have different spheres of manifestation, advantages, disadvantages, and risks. At the same time, the implementation of digital financial instruments allows to significantly save the time of entrepreneurs and customers or services; it also saves cash; simplifies administration and, as a result, it increases the profitability of enterprises, in particular, the pharmaceutical industry.
 The study shows wide opportunities for the development and application of embedded finance in the pharmaceutical sphere with the aim of increasing business profitability by saving time, premises and other means of providing and implementing financial activities; and economic benefits to consumers and partners; optimization of business processes and management of activities in general; promotion of innovation, investment and integration processes.
 
 

Conceptual approach to analyzing the impact of ESG on the value of a business entityy

Aim. To analyze and identify trends, mechanisms and problems of ESG-trends impact on the value of the company.Objectives. Systematization of key approaches to consideration of the essence of ESG-paradigm impact on the company's value; identification of prerequisites, advantages and barriers hindering the implementation of ESG-principles in the practice of Russian companies; substantiation of multilevel impact of internal and external environment on the implementation of ESGmechanisms in the context of strategic business development.Methods. In this article the trends and mechanisms of ESG-principles impact on the company's value as an integral indicator reflecting the efficiency of its activity are considered in various aspects using general methods of scientific cognition.Results. In the course of the research the important role of the company's value as an indicator that allows to comprehensively monitor the state of its affairs is shown. The analysis revealed the fact that crises, environmental degradation, the need to optimize corporate governance and the social demands of employees and local communities have become the driving factors for the introduction of ESG in the practice of companies. The author concluded that the application of ESG practices allows optimizing business processes, improving financial indicators and branding system, creating an attractive image for investors, transforming comfortable mechanisms of interaction with stakeholders based on trust, openness and transparency, as well as creating sustainable competitive advantages. The paper substantiates the assertion that the lack of unified standards, significant differences in the industry aspect in the application of ESG-paradigm, insufficient spread of this concept in our country and unformed information support serve as barriers that significantly hinder the introduction of non-financial reporting forms and ESGtools.Conclusions. The conducted research makes it possible to form a four-level model of ESG-trends impact on the company's value. It allows to take into account the factors and trends of each of them, to develop optimal mechanisms of adjustment and adaptation to new realities.

СТРАТЕГИЯ РАЗВИТИЯ ПРОМЫШЛЕННОЙ ОРГАНИЗАЦИИ НА ОСНОВЕ ПРОЦЕССНОГО ПОДХОДА

The article presents an approach to developing a strategy for the sustainable development of an organization in the long term, based on the optimization of key business processes in functional areas. The structure and relationships of business processes in an organization that is a key market player is determined. Tools for optimizing management and servicing business processes for the formation and transformation of a business model are identified. Typical strengths and weaknesses have been identified in improving business processes for organizations operating in high-tech sectors of the economy. The influence of the organizational structure of the enterprise on the processes of optimization of business processes is clarified.

Effortless Logistics Automation - SAP Logistics Process Automation with UiPath RPA

In the rapidly evolving landscape of business process optimization, the integration of Robotic Process Automation (RPA) with SAP systems has emerged as a transformative solution. This paper explores the synergy between UiPath RPA and SAP, shedding light on the potential for enhanced efficiency, accuracy, and scalability in enterprise processes. The abstract delves into the key concepts, challenges, and benefits associated with SAP logistics process automation using UiPath, offering insights for organizations seeking to streamline their operations through advanced automation

Devising approaches to modeling enterprise business processes under conditions of modern digital technologies

A study was conducted on modeling business processes at an enterprise under the conditions of modern digital technologies, which could make it possible to determine the level of digitization at the enterprise in general, minimize costs, optimize work, and enable business processes automation. The main and most important business processes at an enterprise require simulation on basic digital technologies. As part of the research, the main business processes at an enterprise under the conditions of digital technologies were formed, which make it possible to determine the level of efficiency of the enterprise from the implemented digital technologies and the ways that the enterprise should implement to improve it. It has been established that digitalization has a positive effect on a country's GDP level, the level of employment, and the growth of the population's well-being. A methodical approach to the formation of the company's strategy based on the modeling of business processes, taking into account digital technologies, has been devised. This approach, unlike existing ones, makes it possible to determine the necessary level of digitization and identify the scope of implementation of the implementation of digital technologies at the enterprise. This makes it possible to assess digitization at an enterprise and determine the most important business processes for its operation. Practical implementation of the proposed methodology was carried out for four transport industry enterprises. The most important business processes for enterprises have been determined. According to the results of the study, it was found that digital modeling and optimization of business processes has the greatest impact, which is (3.00) and shows the level of effectiveness of the implementation of digital technologies, as well as their orientation to the search for appropriate sources of financial resources

Optimizing Business Processes through Information System Integration A Case Study in Banda Aceh

This research aims to optimize business processes through information system integration using a case study in Banda Aceh. This research uses a qualitative approach with a single case study research method. Data was collected through in-depth interviews, direct observation and documentation. Research respondents consist of managers and employees involved in the business processes to be integrated. Data analysis was carried out using content analysis. The research results show that information system integration significantly increases the efficiency and effectiveness of business processes in Banda Aceh. Information system integration enables faster data processing, better monitoring of business processes, and more accurate decision making. Additionally, information system integration also enables better collaboration between different departments and stakeholders. Based on these findings, it can be concluded that information system integration plays an important role in optimizing business processes in Banda Aceh. By integrating information systems, companies can increase operational efficiency, reduce costs, and increase customer satisfaction. However, the implementation of information systems integration also faces challenges, such as technical difficulties and changes in organizational culture. Therefore, strong commitment and support from company management is needed to achieve optimal results.

How to optimize business processes in a company: management using digital technologies and artificial intelligence

In today's business environment, adapting to rapidly changing conditions is becoming a key factor for success. Digital technologies and artificial intelligence undoubtedly play a major role here. But how to use them most effectively? This article reveals methods and strategies aimed at optimizing business processes using the latest advances in the field of IT technologies. From the article, you can learn how to automate routine operations, reduce costs and time to complete tasks, increase customer satisfaction and employee motivation. The advantages of integrating artificial intelligence into company management are described, as well as its ability to adapt to individual business needs.

Optimization and manual configuration of business processes in modern economic conditions

The article discusses the principles and approaches to optimizing business processes, provides an optimization algorithm from the functional management principle to the process principle based on flow construction, discusses risks and ways to mitigate them.