Enterprise Resource Planning Research Articles

Key Success Factors for Integration of Blockchain and ERP Systems: A Systematic Literature Review

Blockchain technology offers immense potential for increasing efficiency by streamlining business operations. However, blockchain implementation is disruptive and requires high capital organizational processes as it fundamentally re-engineers and automates business processes. By integrating blockchain with Enterprise Resource Planning systems (ERPs), organizations can enjoy the benefits of blockchain adoption with minimal disruption to their business model. The resources regarding integration of blockchain systems and ERP are scarce and dispersed as their applications are in different niches. Thus, there is a need for a study of literature that investigates blockchain and ERP integration and find its key success factors. This systematic literature review (SLR) investigates the key success factors of blockchain and ERP integration and finds the context of integration to derive meaningful insights regarding its application in different functional areas. A list of key success factors is identified. They could be broadly classified into three contexts – technological, organizational, and regulatory. Also important is the environment and sustainability of the integration. This study was able to conclude that the integration of ERP systems with blockchain will enhance the capabilities of current ERP systems by providing value propositions of the decentralized ledgers such as increased transparency, trust, and process automation.

СУЧАСНІ ПІДХОДИ В АНАЛІЗІ ТА ОЦІНЦІ БІЗНЕС-ПРОЕКТІВ

The article presents the modern understanding of business project analysis as a systematic method of researching each individual stage of the project before its implementation. To analyze the feasibility of large projects, it is proposed to use the Pentagon model, which is based on a system-oriented approach to determine the perspectives of various participants. The value of using the model of expansion by highlighting the formal and informal roles of each of the project participants, which will further contribute to their participation in the formation of the team and interesting pages depending on the identified needs. It was determined that the key tool in the evaluation of business projects is the cost-benefit analysis (CBA), which makes it possible to ensure effective project management from the position of focusing on creating the greatest value for the organization and stakeholders. The use of cost-benefit analysis significantly affects the effectiveness of the project based on the specified conditions of use. Considering the direct and indirect costs, benefits and risks present in the project and their impact on the final results determines the need to initiate the specified tool; prioritize projects and reduce the likelihood of investing in projects with negative returns. It is noted that in the process of analyzing business projects, modern tools of business processes are widely used, namely: software for automation, modeling, monitoring and optimization of various stages of business processes (ERP systems, business intelligence, ВІ- CRM platforms, BPM systems, data analysis tools, online services for communication with customers, etc.). The use of the mentioned tools allows enterprises to effectively analyze data, forecast trends, make informed decisions, increase the efficiency of business processes, and reduce costs within the scope of implementing business projects. The principles and their fullness in the analysis of business processes of projects are determined, including: systematicity, objectivity, determinism or causal dependence, the principle of a scientific approach, efficiency, effectiveness. Considered advantages and disadvantages of methods and indicators for the analysis and evaluation of business processes of enterprise projects, such as ABC analysis, simulation modeling, analysis of process, product and customer satisfaction indicators, qualitative analysis of the business process, SWOT analysis, input and output analysis, function analysis, process analysis for compliance with standard and/or regulatory requirements, resource analysis, process problem analysis, process ranking.

The Impact of Digital Innovation on Accounting Practices: The Case of Romanian Public Schools

Today, digitalization has covered all areas of the social system. The introduction of innovative technologies and ERP systems in the accounting field helps significantly increase the efficiency of financial management. At the same time, certain industries, such as public schools in Romania, still do not take full advantage of accounting automation. This article examines the adoption of accounting automation through ERP solutions in university educational institutions in Romania and explores the advantages and obstacles that come with this shift. In this study, a thorough analysis of the data collected through the survey was carried out. A questionnaire with questions was sent to 100 educational colleges in Romania. The questionnaire contained questions aimed at gathering information about the level of automation, the types of technology used, the difficulties faced and the benefits. Institutions of various sizes with various funding sources – from regular to high schools – were chosen for the study. Implementing automated accounting systems in institutions in Romania has shown noticeable benefits, enhancing efficiency and transparency while ensuring accuracy in operations. However, limited financial resources and inadequate digital expertise challenge the adoption of ERP technologies and other sophisticated solutions. The study results show that digitalization levels differ significantly across education levels, with high and secondary schools being the most digitized, while pre-kindergarten and primary schools lag in adoption. Key obstacles include constraints and a shortage of expertise, particularly impacting high school and secondary educational establishments. The research provides recommendations to enhance the digitalization process in Romania's pre-university educational institutions.

Digital technologies and automation in breeding and agriculture

The agricultural industry is one of the key industries that is related to material production. Large areas of fields, a huge fleet of vehicles, a large number of people employed in the industry, lead to the creation of innovative ways to manage the land resource base and production capacity in agriculture. After analyzing how digital solutions are used in the regional agricultural industry, it can be said that there is a need to carry out accelerated selection, use artificial intelligence, create new sources of raw materials, apply blockchain, unmanned aerial vehicles, the Internet of things, agroscouting, ERP systems, and train employees in the field of information technology for the agro-industrial complex. Agro-enterprises, where mechanization is at a fairly high level, suffer the greatest damage when they produce fruits and vegetables (about 57 percent), as well as root products (about 79 percent). In the production of cereals, the largest losses occur during processing (about 10 percent) and consumption (about 25 percent). In enterprises where mechanization is at an average level, the most problematic industry is livestock breeding with milk production where losses can reach 53 percent.

IMPLEMENTATION OF ELECTRONIC DOCUMENT MANAGEMENT IN THE ENTERPRISE MANAGEMENT SYSTEM

The management of information support of the enterprise is closely linked to both the availability of information resources and with the possibility of introducing information innovations in ordering the documentation and information flows of the enterprise. Effective processing of continuously growing amounts of information, which is based on documents and arrays of data, is possible only if they are automated. The introduction of electronic document management technology at enterprises is an effective tool for managing information support of enterprises, which is a key factor in successful and successful business and provides an opportunity to increase the competitive advantages of enterprises in strict market conditions. Concerning the issues of the theory and practice of using information systems and technologies in the management system of enterprises in this article, the implementation of a certain range of tasks in the design of EDMS, which consists in creating an intuitive, convenient, convenient interface that requires minimal learning. The article analyzes the peculiarities of the introduction of electronic document circulation into the enterprise management system. Electronic document management systems, requirements for them, security and accessibility problems are paid to the enterprise. The implementation of a certain range of tasks in the design of EDMS is analyzed in creating an intuitive, convenient, convenient interface that requires minimal learning. EDMS efficiency is investigated, which integrates with existing systems in the organization, as well as integration with ERP systems, which allows you to effectively synchronize the processes of document management with wider business operations. The article deals with the introduction of encryption protocols, which is one of the fundamental aspects of EDMS security. Accordingly, this allows a wide range of EDMS users to increase the efficiency of both professional activity and to significantly improve the degree and extent of the specialists who have chosen the specified field of professional activity for their life path. The use of modern electronic document management systems and the search for an effective mechanism for their further development make it possible to reduce the cost of labor resources of workers and increase productivity.

Сучасні методи підвищення ефективності бізнес-процесів компаній в епоху цифрової трансформації

The article examines modern methods of increasing the efficiency of companies’ business processes in the context of digital transformation. The relevance of the topic is due to the need for enterprises to adapt to rapid market changes and technological progress. The aim of the work is to study and analyze modern methods of increasing the efficiency of business processes of companies in the era of digital transformation. To achieve this goal, in the course of the study, the authors defined the essence of the concepts of «business process» and «digital transformation», as well as established the relationship between the optimization of business processes and their digital transformation. Thus, it is determined that the manifestation of digitalization of operational activities and, in particular, business processes can be expressed through the use of the following tools: ERP systems, CRM systems, BPM systems, RPA, Internet of Things, Big Data, cloud technologies. The publication allocates the main methods of increasing the efficiency of business processes, such as: outsourcing, benchmarking, engineering, reengineering, merchandising, information and digital technologies, strategic planning, process-oriented management, etc. The experience of such successful companies as Amazon, Walmart, Starbucks, UPS, Microsoft, Procter & Gamble, which have implemented digital tools to increase productivity and reduce operating costs, is analyzed. These companies have been found to have achieved significant results through innovations in the digital sphere. Based on the research, the authors have developed recommendations for the use of digital tools in business practice. The following is proposed as worth to be applied: intelligent learning systems, gamification of business processes, virtual and augmented reality for training and marketing, blockchain technology to ensure transparency of supply chains, interactive reports and dashboards for real-time data analysis, as well as crowdsourcing innovations and microlearning to improve the skills of employees. Thus, the study highlights the importance of a comprehensive approach to digital transformation to ensure the competitiveness and sustainability of companies in today’s environment.

Construction of Intelligent Financial Management Platform Based on Industry-Finance Integration

Abstract Exploring the Construction of intelligent financial management platform based on integrating industry and finance is aimed at improving enterprises’ financial efficiency and management level and realizing the efficient Integration of finance and business. This study centers on an in-depth discussion on the Construction of an intelligent financial management platform that integrates industry and finance. The study finds that integration problems between enterprise finance and business management, such as separation of information systems and insufficient performance evaluation system, lead to interdepartmental cooperation and coordination problems. The proposed intelligent financial management platform is based on ERP and CRM systems and processes data through ETL tools to achieve information sharing. The functional Construction of the platform relies on value correction and knowledge transformation of financial big data, and uses multiple linear regression models to optimize data processing. Empirical studies show that Group T has significantly improved its financial efficiency and management level through the implementation of the platform, which is reflected in the reduction of accounting personnel by 60.22% and the significant shortening of the average audit time of finance. Furthermore, fund management capability was improved, management expenses and expenses were decreased, and performance assessment was more comprehensive. The study concludes that the effective implementation of the intelligent financial management platform can significantly improve the effect of the enterprise’s industry-finance Integration, and promote the enterprise’s overall operational efficiency and competitiveness.

Sense-Making of The Implementation of an Enterprise Resource Planning Software Solution

Sense-Making of The Implementation of an Enterprise Resource Planning Software Solution

The Impact of Knowledge Management Processes on Sustainable Performance: The Mediating Role of Enterprise Resource Planning System

This study identified the effect of knowledge management processes on sustainable performance, testing the expected role of the ERP system as an intermediate variable in enhancing the impact of knowledge management processes on sustainable performance. Few studies have empirically examined the three variables this encouraging the researcher to fill the research knowledge gap. A literature review is a suitable way to review existing literature while facilitating theory development and uncovering areas where further research is needed. Data were collected through questionnaire from the Jordanian Pharmaceutical Industrial Companies in Amman which are (6) companies, used a comprehensive survey due to the limitations of the population which consisted of (81) administrators at the top and middle management levels, using SPSS statistics version 25 for testing the research model and hypotheses. The results reveal appositive medium effect of knowledge management process on sustainable performance, the findings also indicate the medium level of effect of knowledge management process on ERPs. The results also confirm that there is higher level of effect of ERP on the effect of knowledge management process on sustainable performance. This mean that all hypothesized relation was positive.

Machine learning and text mining based real-time semi-autonomous staff assignment system

The growing demand for information systems has significantly increased the workload of consulting and software development firms, requiring them to manage multiple projects simultaneously. Usually, these firms rely on a shared pool of staff to carry out multiple projects that require different skills and expertise. However, since the number of employees is limited, the assignment of staff to projects should be carefully decided to increase the efficiency in job-sharing. Therefore, assigning tasks to the most appropriate personnel is one of the challenges of multiproject management. Assigning a staff to the project by team leaders or researchers is a very demanding process. For this reason, researchers are working on automatic assignment, but most of these studies are done using historical data. It is of great importance for companies that personnel assignment systems work with real-time data. However, a model designed with historical data has the risk of getting unsuccessful results in real-time data. In this study, unlike the literature, a machine learning-based decision support system that works with real-time data is proposed. The proposed system analyses the description of newly requested tasks using textmining and machine-learning approaches and then, predicts the optimal available staff that meets the needs of the project task. Moreover, personnel qualifications are iteratively updated after each completed task, ensuring up-to-date information on staff capabilities. In addition, because our system was developed as a microservice architecture, it can be easily integrated into companies? existing enterprise resource planning (ERP) or portal systems. In a real-world implementation at Detaysoft, the system demonstrated high assignment accuracy, achieving up to 80% accuracy in matching tasks with appropriate personnel.

Unicage Architecture Development Method

Digital transformation necessitates the creation of business value or innovation using digital technology in every industry. Enterprises are facing an unprecedented business environment and competition for resources and market, which forces them to be more adaptive. Consequently, their Enterprise Information Systems must also be adaptive as so for Architecture Development Method. As a result, enterprises turn to adopt Agile and Lean approaches at scale, which requires architecture iteration and refactoring, or evolvability. In this paper, we propose a loosely-coupled, process-based enterprise architecture development method- Unicage – which aligns with Agile and Lean principles, complementing them with concrete technology architecture. The proposing Architecture Development Method especially fits for Enterprise Resource Planning systems.

A Decision-Making Model With Intuitionistic Fuzzy Information for Selection of Enterprise Resource Planning Systems

Involvement of small and medium-scale enterprises is important for developing countries like India. Henceforth, enhancing their competency with the adoption of a suitable enterprise resource planning system (ERPS) is a vital way to enhance their competitiveness. The choice of an appropriate ERPS can be considered as a complex multicriteria decision-making (MCDM) problem where several alternatives (ERPS packages) are assessed based on certain types of characteristics, namely domain knowledge of the supplier, system reliability, service and support, functionality, compatibility, information security, cross-module integration, etc. One critical issue associated with the evaluation of ERPSs is the handling of uncertain information. In this article, we first develop a new methodology to resolve the issue of MCDM problems. In this methodology, the weights of decision experts are systematically calculated with the extended variance approach on intuitionistic fuzzy sets. For calculating the criteria weights, an optimization model based on cross-entropy is proposed, and for the aggregation of the criteria values, a new model called intuitionistic fuzzy improved measurement alternatives and ranking based on the compromise solution is developed, which allows both the vector and linear normalizations and having the advantages of comprising two kinds of aggregation models. Next, an ERPS cloud vendor assessment problem is deliberated with three alternatives (A1: Systems, Applications, and Products (SAP), A2: Oracle Corporation, A3: Microsoft Corporation) and 16 criteria to interpret the reasonableness of the introduced framework. According to the outcomes, SAP is the most suitable alternative. Next, a sensitivity analysis is exhibited with diverse parameter values to inspect the permanence of the presented approach. The advantage of the presented approach is discussed with the comparative investigation.

The Impact of Applying Enterprise Resource Planning System (ERP) on the Quality of Financial Reporting: An Applied Study on Transportation and Logistics Sector

The Impact of Applying Enterprise Resource Planning System (ERP) on the Quality of Financial Reporting: An Applied Study on Transportation and Logistics Sector

Enterprise Resource Planning Adoption and Organizational Performance: An Investigated Study in Libyan Public Organizations Using Structural Equation Modeling

Enterprise Resource Planning Adoption and Organizational Performance: An Investigated Study in Libyan Public Organizations Using Structural Equation Modeling

Insights from interviews with German supply chain managers: a study of supply chain transformations and emerging issues

To investigate current trends and challenges related to supply chain management in Germany, we conduct an interview-based study involving 16 experts. The study focuses on three areas: supply chain transformations, software challenges, and the adoption of emerging technologies. Supply chain transformations are influenced by increasing supply chain complexity, the growing prevalence of e-commerce, and the increased importance allocated by customers to trust and transparency. Complexity is, in part, due to disruptions caused by policy responses to the pandemic and to software challenges in terms of the adaptability of ERP systems and the cybersecurity of cloud-based solutions. This study is relevant for practitioners, as it sheds light on pressing issues in supply chain management, and for researchers as it uncovers potential topics that require further research in the future.

Using the power query system for processing and data mining SAP ERP

The article discusses the use of an intelligent Power Query system for processing data from SAP ERP. When used with SAP ERP data, Power Query can greatly simplify the data analysis process, as well as improve the accuracy and reliability of results. The article provides an overview of the main features of Power Query and how they can be used for data processing in conjunction with the SAP ERP system. It highlights the benefits of using Power Query, including speeding up data processing time, improving data accuracy, and the ability to easily exchange and reuse data processing procedures. Using Power Query to process and analyze bank statements via SAP ERP provides many advantages. Power Query's powerful data processing and transformation capabilities enable organizations to analyze their financial data quickly and accurately, making it easier to identify trends, improve decision-making and stimulate business growth. In addition, the integration of Power Query with SAP ERP provides organizations with a centralized representation of financial data in real time, which allows them to make informed decisions and optimize their activities. Using Power Query to analyze bank statements can also help organizations reduce manual data processing and minimize the risk of errors, increasing the accuracy and reliability of financial information. In general, Power Query offers a powerful solution for organizations seeking to optimize financial analysis processes and ensure business success.

Real-time Financial Anomaly Detection in SAP ERP Systems Using Ensemble Learning Surya Sai Ram Parimi

Real-time Financial Anomaly Detection in SAP ERP Systems Using Ensemble Learning Surya Sai Ram Parimi

Investigating ERP systems Adoption by Medium-sized and Large Companies in Developing Countries: Case of Cameroon

Investigating ERP systems Adoption by Medium-sized and Large Companies in Developing Countries: Case of Cameroon

The role of contextual factors in moderating the performance impact of ERP systems: an empirical analysis

The role of contextual factors in moderating the performance impact of ERP systems: an empirical analysis

The Application of OPC Interface Technology in DCS in Enterprise ERP System

The Application of OPC Interface Technology in DCS in Enterprise ERP System