Business Process Research Articles

Optimization of Electronic-Based Government System Architecture (SPBE) In The Application Architecture Domain In XYZ District

The Electronic-Based Government System (SPBE) is a government administration that utilizes information and communication technology to provide services to SPBE Users as stipulated in Presidential Regulation No. 95 of 2018. SPBE aims to create an integrated government business process between Central Agencies and Regional Governments, form a complete government unit and produce bureaucracy and high-performance public services. To support the implementation of SPBE, the National SPBE architecture is compiled as a detailed guide that covers technical and methodological aspects, ensuring the integration of government electronic systems. This architecture provides convenience in increasing efficiency and effectiveness, as well as being a guide for SPBE governance in Central Agencies and Regional Governments. The XYZ Regency Government has implemented the SPBE architecture as the basis for implementation in its area. This study analyzes the SPBE architecture in XYZ Regency based on the National SPBE architecture to provide optimization recommendations on the application architecture domain. Despite the existence of Presidential Regulation Number 95 of 2018 and Number 132 of 2022, the preparation of government architecture in Indonesia still faces challenges due to the lack of clear guidance. More detailed references are needed as derivatives of existing regulations to ensure consistent and optimal implementation, help agencies understand and implement the SPBE architecture, so that digital transformation towards Indonesia 4.0 is achieved by 2040.

Role of document management system for business processes optimization

The automation of work processes and seamless integration with various business services highlight the essential role of digital document management systems (DMS) in enhancing organizational flexibility, productivity, and adaptability. DMS serve as centralized repositories that streamline, automate, and interconnect business processes, thereby facilitating effective document management. The integration of DMS with Enterprise Resource Planning (ERP) systems provides a comprehensive solution for optimizing business workflows, addressing the needs for both operational efficiency and strategic management. The research paper delineates a business model for the life cycle management of electronic documents and records, focusing on the integration of processes such as document creation, management, approval, and secure distribution. This integrated approach enhances organizational structure, optimizes processes, and bolsters security, leading to significant cost reductions and increased work efficiency. The model emphasizes the importance of streamlined and automated document workflows in reducing manual errors and operational bottlenecks. Key features of DMS include advanced mechanisms for digitizing physical documents, ensuring that all data is captured accurately and efficiently. Centralized storage with version control allows for easy retrieval and management of documents, ensuring that the latest versions are always accessible. Additionally, advanced search and accessibility features enable quick and efficient document retrieval, which is crucial for maintaining high productivity levels. The study underscores the pivotal role of DMS in modern enterprises, advocating their implementation as a strategic move to drive operational excellence and competitive advantage. By integrating DMS with ERP systems, businesses can achieve a cohesive and efficient operational environment that supports both day-to-day activities and long-term strategic goals. This comprehensive approach to document management not only optimizes efficiency and reduces errors but also enhances the overall agility and responsiveness of the organization in a rapidly changing economic environment.

Digital Industry transformation strategy analysis and decision-based on intelligent decision technology

Expanding and being competitive in the current economic environment requires companies to embrace digital transformation. In the framework of Industry 4.0, the network of interconnected machines, sensors, and software known as the IIoT plays a crucial role in transforming conventional manufacturing facilities into smart factories, notably in monitoring and optimising the manufacturing process. The issues about enormous record storage and how they react challenge conventional automated methods in the IIoT. Cognitive systems optimally modify production settings based on managing uncertainty and sensory inputs. This work uses the Internet of Things-based decision support system with cognitive automation (IoT-DSS-CA) for industrial informatics across the board, including data collection, transmission, processing, and storage. Incorporating the elements frequently neglected during digital transformation, the suggested method uses the business process management (BPM) paradigm to give a systematic approach that industrial organizations may employ to aid their path towards Industry 4.0. The proposed mechanism is thoroughly investigated and evaluated compared to an original solution using several sensing and decision-making features in industrial parameter settings determined by Simple Additive Weighting (SAW) and Analytic Hierarchy Process (AHP).

How Does Digital Transformation Moderate Green Culture, Job Satisfaction, and Competitive Advantage in Sustainable Hotels?

Target groups within an organization adopt its culture, reflecting it in all internal and external business processes. Adopting a green organizational culture in hotels with sustainability certificates plays an important role in reshaping business processes by developing sustainability awareness among employees. Digital transformation, which facilitates corporate culture and business processes, plays a role in employee job satisfaction while also supporting environmental, social, and economic sustainability. This research aims to determine the relationship between green organizational culture, job satisfaction, and competitive advantage variables and to examine the moderating role of digital transformation on these relationships. The data-collecting techniques of choice were surveys and semi-structured interviews. While Amos software (Version 24) was used to test the hypothetical model in the analysis of survey data, a Hayes Process macro was used to determine the moderating effect. The interview forms’ data was analyzed using a bag-of-words model. According to the research results, there is a positive relationship between the participation, consistency, and adaptability sub-dimensions of green organizational culture and job satisfaction, while there is no significant relationship between the mission sub-dimension and job satisfaction. Furthermore, the study reveals the moderating role of digital transformation in the effect of job satisfaction on competitive advantage.

METHODOLOGICAL SUPPORT FOR MANAGING BUSINESS PROCESSES OF COMPANIES ON THE BASIS OF A REFLEXIVE APPROACH

The article actualizes the issues of methodological support for managing business processes of companies on the basis of a reflective approach. It is argued that a reflective approach to management helps to avoid problems at the planning stages and contributes to the development of companies. It allows minimizing financial losses, responding promptly to changes, and adjusting the course of the company's business processes. However, no methodological support has been developed to support the management of business processes based on a reflexive approach, which is the purpose of this work and defines its objectives. To implement the above, the author analyses the existing methods and models that ensure the management of business processes with consideration of reflection, studies their problems and bottlenecks, and on the basis of this the author's matrix method of business process management based on the reflexive approach is substantiated. The advantages of the proposed method are: the use of the appropriate categorical and conceptual apparatus (“Levels of reflection”, “Indicators of the level of reflection”, etc.); the possibility of substantiating the directions of business process management, determined by the options described for each level of reflection; ease of use of the matrix due to its adaptability for the use of quantitative estimates obtained by the algorithm of fuzzy set theory (Mamdani), which avoids subjectivity; the flexibility of the method, due to the principles of building the GE/McKinsey matrix, helps to prevent static results and simplify them.

Intelligent automation of financial and accounting processes in business process outsourcing centers in Poland

Purpose: The aim of the article is to assess the degree of intelligent automation of financial and accounting processes in services centres that operate in the business process outsourcing (BPO) market in Poland and to identify future trends and prospects.Methodology/approach: The main research data comprise various reports on the modern business services sector in Poland for 2017–2023. The methods used in the research include a literature review, case study analysis, and deductive reasoning.Findings: The research results have shown that the financial and accounting process outsourcing market in Poland is changing. There has been a gradual advancement of services provided by BPO, shared services centres (SSC) and global business services (GBS) centres. An undoubted driver of the change is technology, which brings trans-formative potential. This technology is changing the nature of work – from repetitive work to work that requires in-depth analysis and complex problem-solving. There is an increasing tendency to implement intelligent process automation (IPA), which includes, among other things, robotic process automation (RPA) solutions using artificial intelligence (AI), in service centres. The increasing automation of repetitive financial and accounting processes is driven by the need to optimize costs, increase the speed of service and improve the quality of services provided by outsourcing centres.Research limitations/implications: The conclusions presented in the article are important for the development and improvement of financial and accounting processes. They are of cognitive value and can be analyzed by decision-makers at various management levels in service centres in Poland and worldwide.Originality/value: The article narrows the research gap in the field of intelligent automation of financial and accounting processes. The research is part of the trend to continuously improve business processes. The conclusions can be a starting point for future research conducted from a macroeconomic perspective, with a particular focus on qualitative research.

The Effectivity of Trello Task Management Application in Campaign Management Division PT XX

Task management as one of the important aspects of business processes in the current era, through a focus on visibility and utilization of application-based office technology, web, social media, and e-commerce. Through effective task management is the key to success in achieving business goals. So, the use of relevant task management applications such as Trello is needed to organize daily tasks and work. This research uses a descriptive qualitative method with a case study approach. The sampling process was carried out using non-probability and purposive sampling techniques to explore the informants' in-depth understanding of the use of Trello as a project management tool in the organization. The results showed that Trello is effective in organizing work, improving project management processes, and contributing to organizational success. However, there are several recommendations for improvement, including the integration of Trello with communication platforms, increased use of the app's features, and efforts to socialize and evaluate future use of the app. This research highlights the importance of the organization's role in improving the quality of the use of applications and related office systems so that the achievement of organizational goals can be maximized.

IMPACT OF ARTIFICIAL INTELLIGENCE ON FUTURE ENTREPRENEURSHIP: SURVEY RESULTS AND TRENDS ANALYSIS

The article examines the phenomenon of artificial intelligence (AI) and its manifestation as a result of creative destruction in all spheres of activity, including entrepreneurship. The peculiarities of AI research are noted, and the results obtained during the survey are analyzed. The goal of this article is to investigate the impact of artificial intelligence on contemporary entrepreneurship. In particular, it discusses the ways in which artificial intelligence is used in business practices and its role in the process of creative destruction. The survey results, conducted among entrepreneurs, are analyzed to identify key trends and challenges associated with AI implementation. The research methodology includes conducting surveys among the general population and entrepreneurs from various sectors regarding artificial intelligence and its potential use in entrepreneurship, as well as analyzing the responses received from respondents. The results: the survey shows that the majority of entrepreneurs acknowledge the significant impact of artificial intelligence on enhancing business process efficiency, decision-making, and innovative development, and are already integrating it into their operations. The scientific novelty of this article lies in the detailed analysis of the impact of artificial intelligence on entrepreneurship, providing survey results, and drawing conclusions regarding the potential use of this technology in business. The practical significance lies in conducting a qualitative analysis and revealing the role of artificial intelligence in entrepreneurial activity. The article emphasizes the widespread adoption and impact of the technology on modern business, demonstrating its potential for improving efficiency and innovation. The conducted analysis emphasizes the need for further research for a deeper understanding and optimal utilization of AI in entrepreneurship.

Determining the materiality for auditing procedures in relation to integrated reporting

Subject. This article examines the problem of fragmentation of the methodology for auditing (certifying) non-financial reporting, namely, determining the materiality for auditing procedures in relation to integrated reporting. Objectives. The article aims to analyze and work out the existing methodological approach to determining materiality for auditing procedures in relation to integrated reporting, taking into account the features of modern corporate reporting and the requirements of international standards. Methods. For the study, I used logical analysis and synthesis. Results. The article proposes a systems approach to the implementation of audit procedures in terms of unifying the process of determining materiality in the context of the changing paradigm of corporate reporting. Conclusions. When determining materiality as part of audit procedures in relation to integrated reporting, the article recommends adhering to the principle of quantification of double materiality in relation to the financial materiality of the business process decomposed by the cost item.

ANALYSIS OF THE IMPACT OF DIGITALIZATION ON THE DEVELOPMENT OF OPPORTUNITIES FOR SMALL AND MEDIUM-SIZED ENTERPRISES

The article analyzes how the use of information and communication technologies and digital marketing tools contribute to increasing competitiveness, optimizing business processes, expanding sales markets, and improving customer relations. This article offers a comprehensive examination of the intricate dynamics between innovation, entrepreneurship, and economic growth, drawing from an extensive review of empirical studies, theoretical frameworks, and policy implications. Through a meticulous analysis of the symbiotic relationship between innovation and entrepreneurship, it elucidates their multifaceted contributions to driving sustained economic prosperity. By delving into the nuanced mechanisms and contextual factors that shape this relationship, the article provides insights for policymakers, researchers, and practitioners seeking to foster innovation-led growth in today's complex global economy. In the context of contemporary economic development, innovation and entrepreneurship have emerged as central pillars driving productivity growth, technological progress, and market dynamism. This paper embarks on a journey to unravel the complex interplay between these two phenomena and how their synergistic relationship shapes the trajectory of economic growth. By examining the underlying mechanisms, empirical evidence, and policy implications, we aim to shed light on the transformative potential of innovation and entrepreneurship in fostering sustainable development and competitiveness. Innovation and entrepreneurship are essential engines of economic growth. Innovation is characterized by the creation and adoption of novel ideas, technologies, and business models, and is a catalyst for entrepreneurial activity by providing opportunities for market differentiation and value creation

The Influence of Artificial Intelligence on the Automation of Processes in Electronic Commerce

This study explores the transformative impact of Artificial Intelligence (AI) on automating business processes in electronic commerce (e-commerce), with a focus on enhancing efficiency and customer experience. The research employs Deep Learning (DL) and Machine Learning (ML) as primary analytical tools to process and analyze data from e-commerce transaction records and customers’ browsing histories. Techniques such as data preprocessing, normalization, sentiment analysis, and advanced predictive models using Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Support Vector Machines (SVMs) are utilized. Data collection was conducted using web scraping tools like Beautiful Soup and Scrapy, along with APIs from Amazon and Google. The application of AI in e-commerce has led to significant improvements in inventory control, fraud prevention, and customer relations. ML algorithms have enhanced the estimation of product demand and personalized customer interactions, while DL has strengthened product recommendation systems and fraud detection mechanisms. The findings indicate that AI contributes to a more secure, faster, and smarter operational environment in e-commerce. This research highlights the substantial benefits and broad potential of AI in optimizing e-commerce operations, demonstrating that the integration of advanced AI technologies not only streamlines transactions but also reinforces platforms against fraudulent activities.

Best practices for business process automation description – a case study

ABSTRACT Organizations in competitive, regulated environments must enhance business processes for efficiency, quality, and compliance while minimizing risks and costs. Process automation solutions play a vital role in achieving these goals, though the variety of tool descriptions creates challenges for compatibility and interoperability. This hinders innovation and competitiveness. The adoption of standard specifications or widely accepted best practices for automation descriptions offers a solution. This research aims to identify a set of best practices to guide process-oriented organizations in evaluating their current automation practices, ensuring alignment and fostering improvements in business process automation.

Design of customized business process management with implementation in the apparel industry as a solution to achieve operational excellence

Textile industry companies are required to compete optimally with competitors to generate higher revenues for the sustainability of the company. In addition, companies must be responsive to market demands because of the dynamic nature of the market. One of the systems used to meet these needs is the Enterprise Resource Planning (ERP) information system. PT Rofina Indah Jaya (Poshboy) has obstacles in implementing ERP in the apparel industry because it is still too generic and has not been optimal in using the existing ERP system. This study aims to improve the performance and efficiency of the industry that produces real-time business reports, so that effective and efficient coordination is created. The methodology used in this study is to take a qualitative and quantitative approach to investigate the design of business process management that is adjusted to the implementation in the apparel industry as a solution to achieve operational excellence. Designing ERP based on customized business processes with implementation in the apparel industry is waterfall is a sequential development process and RACI Matrix that can be adopted to ensure the improvement process runs consistently. Optimization of the ERP business process uses Business Process Management (BPM) by identifying processes that require improvement through comprehensive process mapping to understand the overall workflow. So that ERP can manage customer relationship management (CRM), stock availability updates, warehouse stock positions, goods in transit, order placement, delivery orders, as well as recording and finance used for management decision-making analysis

Ethical Practices and Efficiency in the Internal Control of Peruvian Public Transport

The study aims to assess the impact of ethical practices on the effectiveness of internal control in public transport companies in Peru, to understand how these aspects influence corporate integrity, customer trust and corporate reputation; a quantitative, descriptive and explanatory methodology was used; data were collected through structured surveys applied to 50 employees of a transport company, covering various areas such as sales, administration and internal control; it is concluded that ethical practices significantly influence the effectiveness of internal control. Deficiencies in these areas lead to loss of customer confidence and financial and legal risks. The integration of sound ethical practices into business culture and processes improves management, customer confidence and business sustainability; highlights the need to improve integrity and operational efficiency in transport companies. It recommends implementing ethics training programmers and strengthening internal control systems adapted to the local context, as well as integrating advanced technologies for risk management and visualization.Corporate Governance

Artificial intelligence as a core of the new industrial revolution: prospects and limitations

The purpose of the article is to define prospects and limitations of artificial intelligence as a core of in the new industrial revolution. The definition of the concept of AI in the scientific community remains the subject of heated debate. At the same time, in the regulatory and legal plane, a trend is being formed towards unification of the concept of AI. Based on the analysis conducted and literary sources, the following prospects for AI can be identified on theoretical and practical levels. On theoretical level: (1) alienation of tacit knowledge from the individual (employee and entrepreneur); (2) optimization of the planning system; (3) revision of the socialist-calculation debate; (4) decreasing information asymmetry. On practical level: (1) formation of new products and markets; (2) increasing labor and capital productivity; (3) massive creation of new jobs; (4) optimization of business processes; (5) opportunity for rapid growth for small businesses and startups. Limitations: (1) long-term structural unemployment; (2) inflated expectations from AI and, as a consequence, the possible formation of a speculative bubble in the global stock market; (3) energy consumption of AI; (4) outdated pre-AI corporate culture and regulatory environment. Further improvement of AI (including the transition from AI to AGI) and the expansion of its use can make a significant contribution to solving problems related to economic calculation and minimizing information asymmetry, and therefore optimizing transaction costs in the economy. AI, certainly acting as a locally useful tool at the level of individual enterprises and organizations, causes the acceleration of attracting funds to the stock market, which can lead to the formation of a bubble on global level. If this bubble bursts, expectations about the economic efficiency of AI will be revised, and some AI-related companies will experience significant margin reductions (perhaps losses and bankruptcies). But this, in turn, will initiate the next stage of AI development, will accelerate its transition from the current narrow specialization to the creation of full-fledged general artificial intelligence (artificial general intelligence), which has a greater potential to change the economy at all levels. As a result, AI will become established as the core of the new industrial revolution.

Ensuring Cybersecurity in Action Electronic Commerce Enterprises in the Conditions of Implementation of the Sustainable Development Model

Objective: The article analyzes modern trends and prospects for the development of e-commerce enterprises in the modern digital world in the conditions of implementation of the sustainable development model. Theoretical Framework: The main attention is paid to the issues of ensuring the cybersecurity of the work of such enterprises, taking into account the active development of digital technologies, including and in the field of cyber fraud. Method: The following were the main research methods in the work: content analysis, generalization, description, forecasting, statistical methods. Results and Discussion: The prerequisites for the creation and features of the functioning of e-commerce enterprises were specified, the impact of digital technologies on individual business processes of such enterprises, including primarily their marketing activities, was described. The article also identifies the reasons for the importance of e-commerce enterprises forming their own information security systems, and describes the role of such systems in ensuring the effective operation of these economic entities in the conditions of implementation of the sustainable development model. Research Implications: Accordingly, the main directions of ensuring the reliability of the cyber protection system of e-commerce enterprises in the modern world were also analyzed and determined. Originality/Value: Special attention was paid to the study of modern trends in cyber protection in the world, the forecast of the further development of cyber fraud in the economic sphere.

A Novel Brillouin and Langevin Functions Dynamic Model for Two Conflicting Social Groups: Study of R&D Processes

We consider a two-group social conflict under the corporates’ research and development (R&D) business processes. Conflict participants are divided into two groups depending on their attitude to new ideas, technologies, and behavioral style for R&D creative problems—innovators and adapters. We reveal the contradiction that arises between the need to include both types of employees in one project team and their objectively antagonistic positions regarding the methods and approaches to R&D processes. The proposed research methodology is based on a modern post-non-classical paradigm formed on the principles of coherence, interdisciplinarity, openness, and nonlinearity, as well as a sociophysical approach to the social conflicts modeling. We use the general theories of magnetism, paramagnetism, and functions of P. Langevin and L. Brillouin to describe the dynamics of group participants’ preferences regarding the style of conflict behavior. The analogy of paramagnetism, consisting in the orienting effect of the magnetic field, is used to describe social groups interactions that have not only their own interests, but are also influenced by the opinions of opposite social groups. A two-dimensional, four-parameter map represents the dynamics of group conflict. Modeling results show that regardless of the initial states and with certain parameters of intra-group and intergroup interactions, the trajectories eventually converge to an attractor (limit cycle) in a two-dimensional space. No non-periodic or chaotic modes are identified in the two-group conflict, which determines the controllability of the described conflict. The results of the simulation experiments are used as decision support and contradictions resolution aimed at forming the required modes of the corporates’ research and development business processes and ensuring the group participants’ cohesion and depolarization. The results of testing the model at an industrial enterprise are presented.

Understanding the Variety of Domain Models: Views, Programs, Animations, and Other Models

Humanity has long since used models, in different shapes and forms, to understand, redesign, communicate about, and shape, the world around us; including many different social, economic, biological, chemical, physical, and digital aspects. This has resulted in a wide range of modeling practices. When the models as used in such modeling practices have a key role to play in the activities in which these practices are ‘embedded’, the need emerges to consider the effectiveness and efficiency of such processes, and speak about modeling capabilities. In the latter situation, it also becomes relevant to develop a thorough understanding of the artifacts involved in modeling practices/capabilities. One context in which models play (an increasingly) important role is model-driven systems development, including software engineering, information systems engineering, business process engineering, enterprise engineering, and enterprise architecture management. In such a context, we come across a rich variety of modeling related artifacts, such as views, diagrams, programs, animations, specifications, etc. In this paper, which is actually part of an ongoing ‘journey’ in which we aim to gain deeper insights into the foundations of modeling, we take a fundamental look at the variety of modeling related artifacts as used in the context of model-driven (systems) development, while also presenting an associated framework for understanding, synthesizing the insights we obtained during the ‘journey’ so-far. In doing so, we will also argue that the aforementioned artifacts are actually specific kinds of models, albeit for fundamentally different purposes. The provided framework for understanding involves definitions of domain model, the Return on Modeling Effort (RoME), the conceptual fidelity of domain models, as well as views as a mechanism to manage the complexity of domain models.

INFORMATION AND DIGITAL TECHNOLOGIES OF LEADING INDUSTRIAL ENTERPRISES OF VOLOGDA REGION

The article is devoted to a theoretical analysis of the development of information and digital technologies in the industrial industry using the example of leading enterprises in the Vologda region - Public Joint Stock Company Severstal and Joint Stock Company Apatit. An analysis was carried out on the composition and effectiveness of the information and digital technologies used. Examples of information and digital technologies used at these enterprises of the Vologda region (PJSC Severstal, JSC Apatit) are given, the technologies used and the economic effect of their use are indicated. The influence of the use of digital technologies on the efficiency of the production process of these enterprises is investigated. According to forecasts, global spending on digital technologies in the chemical industry will reach more than $7 billion by 2031. An analysis was made of the effectiveness of the use of digital technologies in the activities of PJSC Severstal and JSC Apatit, their positive impact on operating and business processes, channels of interaction with consumers. It is emphasized that the digital economy in the Russian Federation is developing at an increasing pace; among the main prerequisites for the formation of the digital economy in the Russian Federation, the following are highlighted: the growth in the number of Internet users, the development of e-commerce, and the expansion of the IT industry. In the metallurgy and chemical industries, the key opportunities for transformation based on digital technologies are: the Internet of things, big data analysis, electronic document flow of companies, augmented reality, robotization, more efficient utilization of production capacity. It is noted that mainly large enterprises in the industry that have the financial capacity for innovative changes are subject to active digital transformation. An important step towards solving the problem will be training relevant specialists in a digital environment and increasing the innovative activity of personnel.

ONLINE STORE AS A COMPONENT OF E-COMMERCE AND DIGITAL BUSINESS TRANSFORMATION

This article examines the issue of managing an organization in the context of digital business transformation. The process of searching and optimizing methods and tools of digital transformation is relevant, this is especially evident in the field of e-commerce. In the article, the authors provide an overview of the e-commerce market, its leaders are highlighted. Based on the analysis of the structure and features of the development of global and national e-commerce markets, three categories are identified: 'large and mature', 'catching up' and 'waiting markets'. The dynamics of the global e-retail trade volume and the dynamics of sales volume of the Russian e-commerce market are considered. The concept of 'e-commerce' is clarified, the positive and negative sides of the development of e-commerce are highlighted. Depending on the types of subjects initiating interaction, the types of information and economic interaction or types of e-commerce are fixed. The article notes that information and communication technologies (ICTs) contribute to the organization and optimization of a number of business processes that are the basis of e-commerce: electronic data exchange, e-commerce and marketing, the formation of information and analytical systems of the organization. The authors emphasize that from the point of view of marketing, one of the most interesting components of e-commerce, its trading platform is online stores. The definition of the concept of 'online store' is given. By analyzing the entire variety of online stores represented in the modern business space, the authors classify them according to the methodology of doing business and the type of platform, by the type of organization of sales and trading activities, by product range and type of relationships with suppliers. The proposed classification allows you to: identify the entire range of online stores; streamline these tools; facilitate the search and justification of the choice of optimal methods of digital business transformation.