Search

Business Process Maturity Models (BPMM) offer organizations an approach to improving business processes. However, criticism of the usefulness of BPMMs in improving operational efficiency exists in the literature. Hence, a systematic literature review was conducted, thematically analyzing forty-seven studies about BPMMs. The paper provides an in-depth understanding of the limitations and the extent to which these problem areas have been addressed, aiming to provide a foundation for future research in improving the usefulness of BPMMs. [ABSTRACT FROM AUTHOR]

The article studies the tools for improving the business processes of an enterprise. There are primary and auxiliary business processes at a manufacturing enterprise. The primary processes are those that result in the production of the main product (value), while all other processes are auxiliary. Thus, auxiliary processes include: service, management, and enterprise development processes. Attention is paid to the main areas of business process optimization, among which the following are highlighted: the minimum number of performers, the minimum involvement of managers, and the minimum number of control operations, and, in contrast to them, the maximum typing of processes, the maximum simplification of operations, and the maximum possible parallelism of business processes. The result of optimization of business processes at an enterprise is the elimination of unnecessary losses in the execution of processes that do not bring value to consumers, thereby achieving maximum satisfaction of needs, strengthening the position of the enterprise in the market, and ensuring the maximum inflow of profits to the enterprise. [ABSTRACT FROM AUTHOR]

This paper explores the integration of Business Process Management (BPM) with blockchain technology to enhance pension systems, using Hungary as a case study. Specifically, it addresses scientific challenges related to data access management, regulatory compliance, and system scalability within blockchain-based pension frameworks. This study investigates how BPM can improve the transparency, efficiency, and security of blockchain applications in pension administration by optimizing workflows and automating compliance with regulations such as GDPR. By analyzing operational flow diagrams and implementing architectural models, this paper presents an innovative approach to pension management, demonstrating significant improvements in service quality and operational efficiency. Findings from this research provide empirical evidence of the benefits of BPM-enhanced blockchain systems, offering insights applicable to pension systems beyond the Hungarian context, including examples from other countries. [ABSTRACT FROM AUTHOR]

Business process management has become increasingly important in the manufacturing sector, playing a vital role in fostering productivity and facilitating organizational adaptability to technological advancements. Although each company's business process models vary in uniqueness and complexity, certain similarities can be identified from these differences. This study employs a systematic literature review to aggregate and summarize findings on business process models, modeling languages, clustering techniques, and foundational clustering principles. Results demonstrate the dearth of research on the grouping of business process models in the manufacturing industry. Several studies have focused on sectors such as services, trading, and insurance. Research specifically addressing clustering in the manufacturing sector is limited. Existing clustering efforts in manufacturing revolve around groupings related to product defects, industrial locations, business ecosystems, and similar factors. Analysis of the methods, scope, and criteria used in grouping business process models in the manufacturing industry indicates that most approaches rely on structural or graphic similarities. Follow-up research is lacking once these business process clusters are identified. This study proposes a novel approach to grouping, integrating business process modeling with the implementation of a management information system. Business process management relies on integrating departments within the company through an enterprise resource planning (ERP) system. The next step involves proposing a conceptual framework to categorize business processes and assess the comparability of models in the manufacturing sector. Future research directions are also delineated. [ABSTRACT FROM AUTHOR]

Business process modeling is one of the most important steps in managing the lifecycle of a business process. A digital twin of a business process is a virtual model of a business process designed to replicate the behavior of a real business process. The difference between a digital twin and a business process simulation is that the simulation does not require real-time data, while a digital twin is created based on real-time data. A digital twin comprises a physical entity in the real world, a software-based digital counterpart, and the data that links them both. When a created process communicates in real time with IoT devices and adapts its execution based on the information received in real time, this is referred to as a process digital twin. As the field of digital twins becomes increasingly popular, the challenge is to investigate how the process digital twin communicates with IoT devices in real time and updates its execution state. [ABSTRACT FROM AUTHOR]

The idea(l) of 'legitimate peripheral participation' remains at the heart of debates over the nature and potential of communities of practice. Yet the question of how the legitimacy or otherwise of participation is actually established is seldom addressed. In this article, we focus on 'legitimacy' as figure instead of ground. We attend to the 'displays of competence', and their associated 'labours of division', by means of which 'practitioners' claim recognition and are made recognisable to each other as members, or non-members, of an 'us'. We seek to understand how members come to recognise particular 'doings' and forms of knowledge as belonging (or not belonging) to a particular practice. How is the common 'domain' (communis) of practice settled (or un-settled) in the course of specific performances of membership? Empirically, the article draws upon a 2-year investigation of how community of practice boundaries and participation were negotiated in 'UltraGlass Plc', a multinational manufacturing company, and specifically of the failure of 'community' to cohere around practices. [ABSTRACT FROM AUTHOR]

The rapid technological growth in recent decades due to the integration of robust technologies and automation have led to the rise of digital services and the emergence of Industry 4.0. This paper explores the concept and potential of AI-powered intelligent automation based on the synergistic use of Robotic Process Automation (RPA) and Artificial Intelligence (AI) to enhance organizational and business processes across various sectors. RPA automates routine, rules-based tasks, thereby allowing human workers to engage in more innovative activities. When integrated with AI, RPA systems gain the capacity to analyze data, identify patterns, classify information and forecast which leads to significant improvement in accuracy and productivity. This literature review investigates the current state of RPA and AI integration while highlighting its applications in different sectors such as manufacturing, agriculture, healthcare, finance, and retail. Along with discussing the drawbacks and restrictions, such as technological issues and moral dilemmas, this paper also discusses the advantages of this integration, which include decreased costs, increased output, and simplified operations. By leveraging AI techniques such as classification, text mining of neural network, RPA technologies optimize business operations and advance Industry 4.0. This study also illustrates the challenges and limitations of this integration such as technical difficulties and ethical considerations. The aim of this review is to provide a comprehensive understanding of the synergistic potential of RPA and AI while offering insights into their contribution in shaping the future of intelligent automation.

Abstract. An overview of the printing industry primary measures regarding the balanced implementation of the sustainable development goals at the regional level was carried out. Based on the latest works analysis in the direction of the enlargement of branch waste management systems, the solutions insufficiency for the limited financial situations of small businesses is revealed, and the relevance of finding optimal means of gathering segregated waste and their temporary storage at the enterprise is shown. The criteria have been established and the stratification of typical categories of orders the operational printing has been carried out according to print run and rest volume. The requirements for the collection and storage of waste raw materials and consumables have been clarified and expanded, in particular regarding the provision of microclimatic conditions. In order to model effective business processes of pro­duction residues management, the construction of a universal complex for target cumulative of pre-segregated substrate scraps in the form of a smart container with a weighing terminal is substantiated. For flexible allocation of corporate flows, the hardware part is implemented from measuring, supervisory and communication blocks depending on their purpose in the automated microprocessor platform. The researched printing waste types the built algorithm of the life cycle of their cumulating made it possible to draw up an architectural diagram of segregator system and determine the main components hierarchy of printing waste receptacle when order manufacturing. As a result, analytical models were built and the modeling of automated complex of segregated residues gathering in operational printing was carried out based on created microcontroller system for monitoring of mass and climate control of cumulated surpluses to maintenance proper conditions their subsequent recycling.

In managing business processes of complex hierarchical systems, primary attention is given to analysing, accelerating, and optimising the basic processes typical for any company.

The capability to integrate Internet of Things (IoT) technologies into business processes (BPs) has emerged as a transformative paradigm, offering unprecedented opportunities for organisations to enhance their operational efficiency and productivity. Interacting with the physical world and leveraging real-world data to make more informed business decisions is of greatest interest, and the idea of IoT-enhanced BPs promises to automate and improve business activities and permit them to adapt to the physical environment of execution. Nonetheless, combining these two domains is challenging, and it requires new modelling methods that do not increase notation complexity and provide independent execution between the process and the underlying device technology. In this work, we propose FloBP, a model-driven engineering approach separating concerns between the IoT and BPs, providing a structured and systematic approach to modelling and executing IoT-enhanced BPs. Applying the separation of concerns through an interdisciplinary team is needed to ensure that the approach covers all necessary process aspects, including technological and modelling ones. The FloBP approach is based on modelling tools and a microservices architecture to deploy BPMN models, and it facilitates integration with the physical world, providing flexibility to support multiple IoT device technologies and their evolution. A smart canteen scenario describes and evaluates the approach's feasibility and its possible adoption by various stakeholders. The performed evaluation concludes that the application of FloBP facilitates the modelling and development of IoT-enhanced BPs by sharing and reusing knowledge among IoT and BP experts. [ABSTRACT FROM AUTHOR]

In tutorial format, this paper explores the intricate relationship between Artificial Intelligence (AI) and managerial decision-making, emphasizing the alignment problem--a critical challenge in ensuring AI systems align with human values and ethical standards. It defines AI and examines various methods, including machine learning algorithms, natural language processing, recommendation systems, sentiment analysis, data visualization, anomaly detection, expert systems, neural networks, and deep learning. The alignment problem is dissected into key aspects such as defining goals, value misalignment, robustness and safety, long-term consequences, and interpreting human preferences. The types of AI most affected by the alignment problem, including deep learning, reinforcement learning, generative adversarial networks, evolutionary algorithms, and open-ended learning systems, are highlighted. Practical examples illustrate how biases and misalignments manifest in business processes like recruitment, credit scoring, and automated trading. The paper also categorizes managerial decisions and discusses how AI methods support these decisions while addressing alignment issues. This document underscores the importance of aligning AI systems with human values to ensure ethical and effective outcomes in business environments. This paper is intended to be a road map of possible research topics on the effect of AI on Business Decision Making through the lens of the Alignment Problem. [ABSTRACT FROM AUTHOR]

Designing digital twins of business processes as individual elements to establish cooperative links between enterprises represents a relevant and promising area of research. This approach directly contributes to sustainability goals by enhancing resource efficiency, fostering collaboration, and supporting data-driven decision-making. Bibliometric analysis enables the assessment of the current state of this field and the identification of key directions for its future development, including its alignment with sustainability policies. Notably, the study of designing digital twins of business processes remains underexplored, particularly from the perspective of cross-model design technology. This technology integrates digital twins of different business processes to facilitate real-time interaction and collaboration, optimizing industrial ecosystems for sustainable outcomes. The main objective of this article is to provide a systematic review of the literature on designing digital twins of business processes as individual elements to establish cooperative links between enterprises. The reviewed studies, sourced from Google Scholar, Scopus, and Web of Science, include publications in scientific journals and conference proceedings. Despite advancements, significant discussions and uncertainties persist regarding cross-model engineering technology, particularly concerning the integration platform for digital twins, knowledge schema, cross-model data exchange, and the collaboration framework, all of which have profound implications for sustainable industrial development. [ABSTRACT FROM AUTHOR]

Business process management (BPM) aims to help organizations manage their business processes. Startups differ from established firms as they go through different phases of prospecting, developing, and exploiting the new venture. Startups begin to focus on the organization of their processes after they reach the exploiting (scale-up) phase. Digital startups are unique as information technology (IT) becomes the business model itself. These unique characteristics raise a question: how do digital startups at the scale-up phase manage their business processes? To answer the question, two case studies on digital startups in logistics providers are conducted. The case studies are designed to be inductive in nature. Grounded Theory Method (GTM) is used for data collection and analysis. Data is collected via interviews and supporting documents. The BPM capability provides the basis to create guiding questions for the interviews. The interview results are analyzed with a grounded theory approach of open, theoretical, and selective coding. To derive a new theory, cross-case analyses are conducted. Findings from two digital startups allow us to identify important categories that play a role in how digital startups manage their activities: industry and stakeholders, digital offerings, organic structure, process management, performance measurement, employee training and culture. We further theorize that the competitive nature of startups makes them customer-centric and focus on agility. Digital startups continuously improve their product and conduct adaptive process experimentation involving a cycle of process identification, IT-based process implementation and process adaptation. The supporting capabilities that enable the process management of digital startups are agile people and culture and organic structure. [ABSTRACT FROM AUTHOR]

Currently, 4.0 technologies have generated important changes in government entities, promoting digital government transformation (DGT). This article addresses the challenge of improving the security, reliability and traceability of communications and certified notifications of state entities, particularly in the case of the Colombian government entity called the Comisión de Regulación de Comunicaciones (CRC). Four important points are presented in this report: (a) Research interest in blockchain and smart contracts has been greatly increasing, evidenced in a literature review conducted in the SCOPUS index; (b) a global reference framework on the use of emerging technologies, as is the case of blockchain, has been developed, as well as the legal and juridical framework in Colombia as a baseline; (c) a multi-criteria decision making framework has been used, resulting in the choice of the Zilliqa platform; and (d) The Tecnotifica™ V1.0 software tool is developed to automate notifications with stakeholders using blockchain. Its effectiveness and acceptance is validated with a technology acceptance level test (TAM). It is concluded that the incorporation of emerging technologies such as blockchain is of a very high interest and relevance in the digital transformation of the state sector in the world. [ABSTRACT FROM AUTHOR]

Since ChatGPT exploded onto the scene in October 2022, the media has been breathless with their discussion about how it is going to impact many aspects of life and work. In order to bring this new reality of generative AI into the Introduction to Management Information Systems classroom at both the undergraduate and graduate levels, we have developed two short cases that can be completed in or out of the classroom. These cases allow students to use generative AI for an interesting and useful purpose and develop prompts to deliver the output. Students can begin to learn what generative AI can do for them, and how it can shape their future careers. We tested the perceived effectiveness of the project on students using a pre/post survey. The results are analyzed using a paired t-test and demonstrate that students increased their understanding of generative AI and prompt engineering. [ABSTRACT FROM AUTHOR]

The article focuses on developing a model for monitoring and planning local territorial development in Latvian municipalities as a business process. Topics include the application of business process modeling (BPM), the evaluation of BPM maturity levels, and the relationship between BPM practices and local economic development.

The main objective of the paper is to assess the relationship between firms' financial resilience and firms' strategic sustainable development vulnerabilities, in the context of implications of the COVID-19 pandemic on firms' business environment. Background: The last decade has emphasized an increase in business models' uncertainty and risk exposure. The COVID-19 pandemic has highlighted the awareness in this direction, especially in a changing context, that looks more and more for corporate sector operations' orientation towards sustainable development. The question we would address in this paper is how the nexus between corporate sustainability performance and corporate financial resilience is affected by management decision through process improvements, product quality assurance, or managers' preference to improve corporate financials by earnings management practice instead, especially in the context of specific corporate financial risk management. Methods: The data are extracted from the Refinitiv database. The sample is limited to 275 European Union listed firms, selected based on data availability. The empirical analysis consists of an OLS multiple regression. For robustness purposes, a quantile regression model is estimated as well. Results: The approach considers implications of the pandemic on firms' business environment and earnings management accounting based policies and strategies as well. The result suggests that alignment to sustainability frameworks lead to the deterioration of firms' financial resilience. Similar results show the negative impact of firms' financial vulnerability (credit default risk) on firms' financial resilience. Instead, the risk of bankruptcy, firms' liquidity, or high product quality and business process improvement determine the positive impact on firms' financial resilience. Conclusions: The study highlights several insights both for management and policy makers. First, the results underline the relevance of management's choice for earnings management on ensuring firms' financial resilience, which ask for better corporate governance and high-quality and effective institutional regulatory and enforcement mechanisms. Second, the paper brings evidence on the impact of the COVID-19 pandemic on firms' financial sustainable development. Third, the study emphasizes the importance of the efforts of corporate process improvements and high-quality products on generating value-add, by looking on the relevance of those drivers on the level of corporate economic value-add, a measure that limits the impact of discretionary management accrual-based accounting choices on our discussion. [ABSTRACT FROM AUTHOR]

The political and economic situation in Ukraine leads to the fact that companies today are stuck with the deterioration of their financial condition and need effective mechanisms for further development even in the conditions of martial law. The ability to plan the project management process, formulate value guidelines for project management and implement the necessary management tools can help to form an optimal approach for the company to valueoriented project management at oil and gas production enterprises. To optimize the project management process, it is necessary to detail and improve the process of planning the implementation of these projects. Implementation of such detailing is possible under the condition of applying modeling of business processes at the enterprise. Therefore, the object of this research is approaches to value-oriented project management at oil and gas production enterprises. The paper uses general scientific methods of analysis, synthesis, systematization, generalization, and also used the method of modeling business processes to determine a clear sequence of actions in the process of implementing projects at oil and gas production enterprises. According to the results of the research, it was established that for optimal value-oriented project management at oil and gas production enterprises, a certain business process should be followed, which provides for a clear sequence of actions and the possibility of controlling the result at each stage of the project. In general, according to the author’s business process, value-oriented project management at oil and gas production enterprises involves the following stages: – formation of a clear sequence of actions aimed at the implementation of the project (establishment of value indicators of the project); – identification of responsible persons and allocation of resources for the implementation of each stage of the project; – general implementation of the project (this stage involves detailing individual tasks); – control of efficiency and achievement of value indicators of the project. Adherence to such a sequence of actions will improve the efficiency of project management and ensure the coordination of project performance indicators with the general value orientations of the enterprise. [ABSTRACT FROM AUTHOR]

Environmental stewardship and sustainability have become critical priorities in the contemporary business environment. Corporations are integrating sustainable practices at the business process level via Sustainable Enterprise Resource Planning (S-ERP). However, a recognised shortfall of S-ERP systems lies in their potential inability to integrate sustainability metrics across all business functions holistically. To navigate this limitation, our study introduces the application of Transaction Cost Theory (TCT). By treating business processes as input-output systems, we apply this theory to quantify sustainability likelihood and overall losses. This novel approach bridges the gap, allowing for the comprehensive integration of sustainability metrics across all processes. The essence of our methodology is to leverage static input data collected by S-ERP regarding environmental impact and to extrapolate this data to provide a broader understanding of potential losses and gains. We've tested and validated this approach through two comprehensive case studies; one is about sustainable product design and development, and the other is about the sustainability evaluation of modular versus conventional construction methods. The results inform the formulation of robust sustainability policies at the business process level for systems akin to S-ERP, paving the way for more sustainable business practices.

The global demand for organic produce has surged, with notable growth among Thai consumers. However, within Thailand's organic agricultural sectors, supply chain obscurity has impeded the understanding and resolution of emerging challenges associated with meeting this rising demand. Public interest has traditionally centered on mainstream economic sectors, resulting in inadequate attention to the sustainable organic farming supply chains. This study aims to explore the complexities of current sustainable organic supply chain configurations in Thailand, addressing gaps that lead to suboptimal planning and non-sustainable practices. Utilizing the Integration Definition for Function Modeling (IDEF0) framework, this research collected data from key stakeholders through in-depth interviews. Participants included representatives from each stage of the supply chain, providing comprehensive insights into the operational dynamics. The analysis identified several critical challenges within the supply chain, including insufficient collaborative planning, reduced productivity, inaccurate demand forecasting, ineffective budgetary planning, and inadequate cold chain management. These challenges highlight the fragmented nature of the current supply chain and the need for strategic improvements. To address these shortcomings, the study suggests integrating technological advancements in demand planning, operations, and budgeting, fostering collaboration among supply chain members, and forming strategic partnerships with cold chain management service providers. These recommendations aim to enhance the efficiency and sustainability of Thailand's organic produce supply chain, ensuring it can meet increasing global and domestic demands effectively.

The complex model describing and taking into account the interrelationships between business processes, organizational structure and information systems of a secondary special education institution is considered. To represent the model the matrix approach with the use of matrix theory tools is used. Weight coefficients of interrelation of model elements are described using the method of expert evaluation and taking into account the zone of responsibility of employees in the performance of certain business processes. The model construction is based on the description of the operational business process “Training of specialists at the level of secondary specialized education”, including subprocesses of theoretical and practical training. The obtained model, consisting of three matrices, allows for accounting and analysis of organizational elements of the educational institution structure for errors, assessment of completeness and cohesion of interaction between structures in order to their further optimization and automation.

Many organizations are dealing with the challenges of incorporating new digital tools into their daily operations as part of digital transformation. However, only a few have effectively managed their business processes to fully benefit from these technologies. To address this, using business process models can be helpful. These models make it easier to take a systematic approach to digital transformation, ensuring effective value realization. The article explores and analyzes contemporary methods and methodologies for leading a company through digital transformation. Additionally, a framework is constructed, enabling the journey of digital transformation from ideation to the achievement of set objectives. The article investigates key steps and provides a roadmap for aligning business processes with the requirements of digital transformation. It also discusses fundamental approaches to constructing modern business models or optimizing existing ones. The article examines the current state of digital transformation within Ukraine. Through a thorough exploration of the Global Innovation Index (GII), the article provides a comprehensive comparison of Ukraine's digital transformation efforts with those of other nations worldwide, offering insights into its global competitiveness. Additionally, the article identifies and discusses the prevailing development trends in digital transformations within Ukraine, elucidating key characteristics and implications associated with each trend. The article shows a deeper understanding of Ukraine's digital landscape and its trajectory toward greater innovation and competitiveness on the global stage.

This article is devoted to problems of the process of rendering services in the field of customs during digitalisation of the economy. The observed mechanism of rendering state customs services, as well as improving their quality, naturally affect the entire service sector and the development of the country’s economy as a whole. The main purposes of the article are to analyse the mechanism of rendering services in the field of customs and to search for effective methods of assessing their quality. The relevance of the article is determined by the need to improve the operations performed to be able to manage the quality of provided customs services. The main objective of this article is to propose possible ways to reduce time costs without losing the quality of customs control in the process of providing the services. The article used both theoretical (analysis of the current legislation) and empirical research methods (giving practical examples of improving the efficiency of customs operations and the quality of customs services). The results of the study are the following: development of sequential operations performed by customs authorities in the process of rendering services in the field of customs; proposal of possible criteria for assessing their quality; formulation of options for managing this quality.

An overview of the printing industry primary measures regarding the balanced implementation of the sustainable development goals at the regional level was carried out. Based on the latest works analysis in the direction of the enlargement of branch waste management systems, the solutions insufficiency for the limited financial situations of small businesses is revealed, and the relevance of finding optimal means of gathering segregated waste and their temporary storage at the enterprise is shown. The criteria have been established and the stratification of typical categories of orders the operational printing has been carried out according to print run and rest volume. The requirements for the collection and storage of waste raw materials and consumables have been clarified and expanded, in particular regarding the provision of microclimatic conditions. In order to model effective business processes of production residues management, the construction of a universal complex for target cumulative of presegregated substrate scraps in the form of a smart container with a weighing terminal is substantiated. For flexible allocation of corporate flows, the hardware part is implemented from measuring, supervisory and communication blocks depending on their purpose in the automated microprocessor platform. The researched printing waste types the built algorithm of the life cycle of their cumulating made it possible to draw up an architectural diagram of segregator system and determine the main components hierarchy of printing waste receptacle when order manufacturing. As a result, analytical models were built and the modeling of automated complex of segregated residues gathering in operational printing was carried out based on created microcontroller system for monitoring of mass and climate control of cumulated surpluses to maintenance proper conditions their subsequent recycling. [ABSTRACT FROM AUTHOR]

This article is devoted to the use of IDEF0 (Integrated DEFinition) and DFD (Data Flow Diagrams) methodologies in the process of designing a software tool for e-commerce. It is indicated that IDEF0 allows modelling business processes in the form of a hierarchical structure of functions, which helps to understand the relationships between them and optimise processes. DFD is used to analyse data flows and their processing in the system, which is important when designing a software tool. The paper reviews the current state of e-commerce and identifies the main requirements for software to support it. Next, the IDEF0 methodology, its principles and basic concepts that can be used to model business processes in ecommerce are explored. The paper also analyses in detail the DFD methodology, its stages and the tools it provides for modelling data flows in software. The focus is on the practical application of these methodologies in the design of a software application. Specific examples are used to show how IDEF0 and DFD can be used to analyse, design and implement an e-commerce software application. The work includes a description of the business process modelling process, software requirements analysis, and data structure design. The study has shown that the use of IDEF0 and DFD methodologies in the design of e-commerce software allows to effectively model business processes and analyse data flows in the system, which contributes to improving the quality of development and ensuring high functionality of the software. The work can be useful for students, teachers and specialists in programming and information technology who are interested in developing e-commerce software. [ABSTRACT FROM AUTHOR]

Process mining is an emerging research field which deals with discovering, monitoring and improving business processes by analyzing and mining data in the form of event logs. Event logs can be extracted by most of the existing enterprise information systems. Predictive business process monitoring is a sub-field of process mining and deals with predictive analytics models on event log data that incorporate Machine Learning (ML) algorithms and deal with various objectives of process instances, such as: next activity, remaining time, costs, and risks. Existing research works on predictions about next activities are scarce. At the same time, Automated Machine Learning (AutoML) has not been investigated in the predictive business process monitoring domain. Therefore, based on its promising results in other domains and type of data, we propose an approach for next activity prediction based on AutoML, and specifically on the Tree-Based Pipeline Optimization Tool (TPOT) method for AutoML. The evaluation results demonstrate that automating the design and optimization of ML pipelines without the need for human intervention, apart from making accessible ML to non-ML experts (in this case, the process owners and the business analysts), also provides higher prediction accuracy comparing to other approaches in the literature. [ABSTRACT FROM AUTHOR]

The article discusses development of a project management information subsystem for enterprises of high-tech industries. The problem is formulated as it applies to enterprises in conditions of necessary import substitution of software, conceptual solutions are proposed, and a description of information support for software problem is provided. [ABSTRACT FROM AUTHOR]

Predictive process monitoring (PPM) relies on predictive effectiveness, and to address the challenge of improving predictive performance in PPM, this paper proposed a novel approach called behavior profile matrix enhanced business process outcome prediction. Initially, this approach extracted the behavior profile matrix by analyzing the interactions among activities and incorporated it into the model along with event sequences. Then, it used convolutional neural networks (CNN) and long short-term memory networks (LSTM) to independently capture image features from the matrix and sequence features. Finally, this approach integrated an attention mechanism to seamlessly combine both image and sequence features for predictive purpo- ses. Validation using real event logs demonstrates that the proposed enhancement method significantly enhances predictive per- formance compared to the baseline LSTM prediction methods when forecasting event log outcomes, confirming the feasibility of this approach. This approach combines the behavior profile matrix to enhance the predictive model s understanding of relation- ships between behaviors in event logs, consequently leading to an improvement in predictive performance. [ABSTRACT FROM AUTHOR]

Artificial intelligence-enabled business models aim to improve decision-making, operational efficiency, innovation, and productivity. The presented systematic literature review is conducted to highlight elucidating the utilization of artificial intelligence (AI) methods and techniques within AI-enabled businesses, the significance and functions of AI-enabled organizational models and frameworks, and the design parameters employed in academic research studies within the AI-enabled business domain. We reviewed 39 empirical studies that were published between 2010 and 2023. The studies that were chosen are classified based on the artificial intelligence business technique, empirical research design, and SLR search protocol criteria. According to the findings, machine learning and artificial intelligence were reported as popular methods used for business process modelling in 19% of the studies. Healthcare was the most experimented business domain used for empirical evaluation in 28% of the primary research. The most common reason for using artificial intelligence in businesses was to improve business intelligence. 51% of main studies claimed to have been carried out as experiments. 53% of the research followed experimental guidelines and were repeatable. For the design of business process modelling, eighteen AI mythology were discovered, as well as seven types of AI modelling goals and principles for organisations. For AI-enabled business models, safety, security, and privacy are key concerns in society. The growth of AI is influencing novel forms of business. [ABSTRACT FROM AUTHOR]

Selecting the most suitable agile software development method is a challenging task due to the variety of available methods, each with its strengths and weaknesses. To achieve project goals effectively, factors such as project needs, team size, complexity, and customer involvement should be carefully evaluated. Choosing the appropriate agile method is crucial for achieving high client satisfaction and effective team management, but it can be a challenging task for project managers and higher-level management officials. This paper presents a solution aiming to help them in selecting the most suitable software development method for their project. In this regard, this solution includes a pre-project management approach model and a decision tree that considers the unique requirements of the project. In the proposed solution results, Scrum was found to be suitable for both small and large projects, on the condition that roles and responsibilities are clearly defined and that the approach is people-centric. Furthermore, high-risk mitigation measures should be added for small projects. To facilitate the use of our model, a software application has been developed which implements the decision-making tree. [ABSTRACT FROM AUTHOR]

A definition of the business process is proposed on the basis of approaches in process management. Methods of managing procurement activities at an industrial enterprise are analyzed, in tactical and strategic terms. Models in unified modeling language (UML) are developed for procurement management systems. [ABSTRACT FROM AUTHOR]