Enterprise Resource Research Articles

AI-driven business analytics and decision making

The rapid advancement of Artificial Intelligence (AI) and Machine Language (ML) has revolutionized business analytics, transforming the way organizations make decisions. This paper explores the integration of AI-driven technologies into business analytics to enhance decision-making across various industries. By leveraging predictive and prescriptive analytics, AI enables organizations to not only analyse historical data but also forecast future trends, allowing for more informed, proactive strategies. Machine learning plays a pivotal role in automating data-driven decisions, offering real-time insights that help businesses respond quickly to changing market dynamics. This automation significantly reduces manual intervention, increases efficiency, and enhances the accuracy of predictions. The paper further discusses the integration of AI with Business Intelligence (BI) tools to deliver deeper insights from complex datasets in real time. These insights empower companies to optimize enterprise resources, improve supply chain management, and drive operational excellence. Case studies from AI-driven analytics within Systems, Applications, and Products in Data Processing (SAP) environments highlight the practical applications of AI in real-world business contexts, demonstrating its impact on decision-making and overall performance. The paper concludes with best practices for implementing AI in business analytics, focusing on data quality, system integration, and workforce readiness to embrace AI-enabled decision-making frameworks. The findings underscore the potential of AI as a game-changer in modern business landscapes, fostering smarter, faster, and more effective decision-making processes.

The Impact of Technology and COVID-19 on Mergers and Acquisitions: Implications for Supply Chain Management

This paper explores the issue of MA as it pertains to Supply chain elements such as Enterprise Resource Planning (ERP), the role of technology, and supply chain efficiency. By exploring the issue further, the research seeks to assess the recent trend of increased mergers and acquisitions (MA) and how the activities affect the supply chain management (SCM) role. The results are important in understanding current trends in SCM when it comes to mergers and acquisitions. The discussion covered the role that COVID-19 played in increased trends in MA and technology's role in MA activities and success. The ultimate goal is to understand how technology and COVID-19 impact MA activities and how, in turn, the supply chain management role gets affected.

Evaluating Enterprise Resource Planning Adoption Using the EDAS Method: A Strategic Approach

Adoption of enterprise resource planning (ERP) systems is the process of putting ERP systems into use inside an organisation. It entails the fusion of diverse corporate operations into a centralised software platform, including finance, human resources, and supply chain management. By enabling real-time utilisation of integrated data and automated processes, ERP adoption attempts to improve decision-making, increase efficiency, and streamline operations. To achieve successful installation and user acceptance, rigorous planning, arrangement, and instruction are needed. For businesses looking to streamline operations and obtain a competitive edge in today's digital environment, ERP adoption is essential. The implementation of enterprise resource planning (ERP) is significant for research since it can help to better understand and manage organisational operations. Scientists can learn more about the elements that contribute to successful implementation, pinpoint best practises, and address issues that organisations have throughout the adoption process by researching ERP adoption. By optimising resource allocation, increasing operational efficiency, and implementing ERP, this research will assist organisations in making knowledgeable judgements. Additionally, research on ERP adoption aids in the creation of frameworks and theories in the discipline of information technology and offers advice to practitioners and decision-makers working on ERP projects. A technique for making decisions that takes into account an alternative's distance from the mean answer is called evaluation based on distance from the average solution (EDAS). It gauges the performance of the alternatives using the distance between them and the typical solution. When evaluating options, EDAS takes both positive and negative distances into account. To rank and choose the best alternative in multi-criteria decision-making issues, this method is frequently utilised. Decision-makers can use EDAS to make well-informed decisions by taking into account how far away various options are from the typical solution. The Shipping took the first place while Tracking took the Last place in the Enterprise resource planning adoption. In this paper Enterprise resource planning adoption, The Shipping took the first place while Tracking took the Last plac

Enhancing financial reporting and management efficiency through enterprise resource planning (ERP) systems: A theoretical review for large-scale energy operations

Enterprise Resource Planning (ERP) systems have emerged as essential tools in streamlining financial reporting and improving management efficiency across various industries, including large-scale energy operations. This theoretical review explores how ERP systems enhance financial reporting by integrating real-time data, automating financial processes, and fostering transparency. In energy operations, where financial activities are complex and data-intensive, ERP systems centralize financial data, reducing errors, improving compliance, and supporting decision-making through enhanced visibility and accuracy. By automating tasks such as budgeting, forecasting, and financial statement generation, ERP systems enable energy companies to efficiently manage their financial resources, thus optimizing cost control and profitability. Additionally, ERP systems provide significant benefits for management efficiency, particularly in large-scale operations. The integration of financial, operational, and managerial processes within a single platform allows for better resource allocation, improved communication across departments, and faster response times to market fluctuations. These capabilities are crucial in the energy sector, where companies face volatile market conditions, regulatory pressures, and high operational risks. ERP systems enhance managerial decision-making by providing real-time insights into key performance indicators (KPIs), enabling executives to make data-driven decisions that support long-term strategic goals. However, implementing ERP systems in large-scale energy operations presents challenges, including high costs, lengthy implementation periods, and the need for employee training. This review also examines these barriers and suggests strategies for successful ERP adoption, including phased implementation, stakeholder engagement, and customization to industry-specific needs. In conclusion, ERP systems hold the potential to revolutionize financial reporting and management efficiency in large-scale energy operations. By leveraging ERP's real-time data integration and process automation, energy companies can significantly improve their financial management, enhance decision-making, and adapt more quickly to market changes. Keywords: ERP Systems, Financial Reporting, Management Efficiency, Large-Scale Energy Operations, Process Automation, Real-Time Data Integration, Decision-Making, Cost Control, Market Fluctuations, Energy Sector.

BUSINESS INTELLIGENCE E ERP (ENTERPRISE RESOURCE PLANNING) E SUAS VANTAGENS NAS ORGANIZAÇÕES.

Organizational change has been constantly discussed in organizational analyzes, with regard to the form and reasons why companies change or fail to change. It is necessary to understand that organizational change does not happen instantly, it is a gradual process, which takes place gradually. Currently, there are several support tools for organizations, so that these changes occur in a planned and more secure way. Business Intelligence (BI) is a very important aid for project management in the organization, as it collects and gathers company data, as well as parameters and performance indicators, transforming them into qualitative information. With Business Intelligence (BI) implemented correctly, the data that is and / or travels through the organization is available as consistent information to support decision making. ERP Systems (Enterprise Resource Planning), are able to contribute to the automation of activities and optimization of processes. Thus, organizations gain much more in productivity, cost reduction and optimized tasks, in addition to more efficient management, directly influencing decision making. With its premise of integrating data within the company, ERP Systems, generate faster access to higher quality information, emerges as a tool of great competitive advantage for Organizations in the market. Both of the tools mentioned above bring benefits to organizations.

The Influence of Environmental, Social and Governance Disclosure Concepts on the Success of Sustainable Business in Companies Listed on the Indonesian Stock Exchange in 2023 with the Implementation of Enterprise Resource Planning System as a Moderating Variable

The purpose of this research is to examine and analyze the influence of environmental disclosure, social disclosure and governance disclosure on sustainable business as proxied by Net Profit Margin (NPM) in companies listed on the Indonesia Stock Exchange in 2023 and moderated by Enterprise Resource Planning (ERP). This type of research is quantitative descriptive which uses secondary data with testing tools in the form of SPSS version 29, and the sample used was 51 companies with purposive sampling technique as the sample selection technique. The results of hypothesis testing show that environmental disclosure has a significant positive effect on sustainable business, while social disclosure has a significant negative effect and governance disclosure has a negative but not significant effect on sustainable business. Overall, this interaction is moderated by ERP. Apart from that, ERP has positive effect also been proven to be able to have a direct influence on sustainable business. Keywords: Environmental Disclosure, Social Disclosure, Governance Disclosure, Sustainable Business, Net Profit Margin, Enterprise Resource Planning System

From hiding to sharing: a knowledge hiding perspective on knowledge management in MNEs

Purpose Knowledge is a vital strategic resource for multinational enterprises (MNEs). As MNEs expand internationally, knowledge transfer through expatriates is a crucial part of the value proposition of outward foreign direct investment. However, this is undermined if knowledge is hidden rather than shared. Given the scarcity of research on knowledge hiding in MNEs, this paper aims to investigate this phenomenon among expatriates and develops a new framework to analyze knowledge hiding. Design/methodology/approach Survey data from 201 Chinese MNE expatriates is collected and analyzed using Partial Least Squares – Structural Equation Modeling to test the relationships between knowledge hiding, organizational practices, cultural intelligence and job embeddedness. Relevant organizational practices based on the ability-motivation-opportunity enhancing framework were identified, based on 24 semi-structured qualitative interviews which guided the quantitative analysis. Findings The direct effects of organizational practices on all types of knowledge hiding are limited. However, organizational practices’ influence on knowledge hiding is mediated by the cultural intelligence of expatriates, and this relationship is moderated by job embeddedness. Originality/value The research advances current thinking about knowledge management and outlines both theoretical and practical implications at organizational and societal levels. It explores the mechanisms for remedying knowledge hiding through organizational practices, including the interactive effects of cultural intelligence and job embeddedness among expatriates. Organizational knowledge management strategies in MNEs need to recognize cultural differences and improve job embeddedness to form the basis of successful knowledge transfer.

Measuring IT Governance in ERP Systems: a COBIT 2019 Evaluation of SAP Material Management Module

Information technology systems such as Enterprise Resource Planning (ERP) are crucial for companies to meet their business needs. However, as companies grow, challenges arise, particularly in the Material Management (MM) module within SAP. This study aims to identify issues such as data inaccuracies and material duplication during the interfacing process with SAP MM and assess IT governance capabilities using the COBIT 2019 framework. The methods used include interviews and literature review, focusing on the domains of APO12 (Managed Risk), BAI03 (Managed Solutions Identification & Build), and DSS03 (Managed Problems). The results show that APO12 reached capability level 4, while BAI03 and DSS03 are at level 3, with a target of level 4. Recommendations include enhancing proactive system design evaluation, developing systematic procedures to address data issues, and implementing permanent solutions to prevent data duplication and inaccuracies during interfacing.

Enhancing ERP Usage Through Absorptive Capacity: A Case Study from Indonesia Enterprise

This research investigates the effect of individual users' absorptive capacity to the usage of Enterprise Resource Planning (ERP) at PT ABC, a transportation company in Indonesia. Utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM). This study tests the relationships between three facets of absorptive capacity and ERP usage. This study revealed that among aspects of absorptive capacity, only the capacity associated with applying ERP knowledge directly affects ERP usage. Meanwhile, prior understanding and proficiency in integrating ERP systems have a significant indirect impact on ERP usage performance. Based on these findings, it is suggested that PT ABC strengthens individual employees' absorptive capacities and encourages them to acquire ERP expertise before implementation. Moreover, cultivating a culture that supports collaboration and knowledge sharing is crucial for maximizing the benefits of ERP systems within the organization. Implementing these strategies is expected to improve ERP adoption outcomes at PT ABC

Enhancing enterprise investment efficiency through artificial intelligence: The role of accounting information transparency

In the post-COVID-19 era, with global economic recovery as a critical goal, the rapid development of artificial intelligence (AI) has emerged as a key driver of economic growth and transformation. AI not only acts as a powerful catalyst for economic development but also significantly impacts enterprise investment efficiency (EIE). This paper explores the influence of AI on EIE, with a focus on the role of accounting information transparency. Using data from Shanghai and Shenzhen A-share listed enterprises between 2010 and 2021, the findings demonstrate that AI development significantly enhances EIE. These results are confirmed through robustness tests, including variable substitution, and addressing endogeneity and sample limitations. Mechanism analysis reveals that AI improves EIE by increasing the transparency of accounting information. Additionally, heterogeneity analysis shows that AI has a greater impact on the investment efficiency of high-tech and technology-intensive enterprises, non-state-owned enterprises, and those located in highly urbanised areas, such as ‘Broadband China’ pilot cities. This paper examines how AI development affects EIE through the lens of enterprise accounting information transparency, offering actionable insights for enhancing accounting disclosures and serving as a valuable resource for enterprises navigating the technological transformation of the modern era.

Convergence and Innovation of Artificial Intelligence in Corporate Strategic Planning: Opportunities, Challenges and Future Research Directions

In the contemporary digital era, the swift evolution of Artificial Intelligence (AI) has not only revolutionized various sectors but has also become an indispensable asset in corporate strategic planning, decision-making processes, and operational efficiency. This paper delves into the multifaceted applications of AI across a myriad of industries, providing a comprehensive analysis of its integration into corporate strategy and its profound impact on business operations. This study adopts a comprehensive research methodology that merges qualitative case studies with quantitative data analysis to scrutinize the practical use of AI in strategic planning. It delves into the interdependent relationship between AI and conventional digital frameworks, such as Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) systems. The research aims to illuminate how the fusion of these technologies can substantially enhance corporate competencies and optimize operational workflows. The study's findings indicate that while AI has the potential to offer transformative solutions, its integration into strategic planning is not without challenges. Ethical considerations, legal ramifications, and societal implications must be carefully navigated. Additionally, the study reveals a notable void in existing literature concerning the enduring strategic ramifications of AI and its effects on corporate culture and talent management practices. This gap highlights the need for further exploration into how AI shapes the long-term strategic direction and internal dynamics within organizations.

A Real-time Associative Feature-based CRM and ERP Integration Model for SMEs

Abstract Customer relationship management (CRM) and enterprise resource planning (ERP) have been exponentially discussed in the research literature. However, existing studies do not reach a complete agreement on the CRM/ERP integration method, especially for small and medium-sized enterprises (SMEs). Generally, this paper proposed a new method of CRM/ERP integration approach, i.e. consistently using associative feature technology. A new feature type, Real-time Data Link Board (RDLB) is suggested and detailed as a generic information carrier solution for multi-system integration between CRM and ERP packages. Useful data elements are mapped into such data boards (sheets) dynamically and synchronized across different data sources, structures and databases. The ultimate contribution of this work is to provide a well-defined and generically reusable data carrier definition and related methods for consistent data modeling during the system integration phase of different digitalization engineering implementation projects. With this proposed approach, data integration among complex systems can be managed consistently throughout application lifecycles supported by the object-oriented software engineering foundation.

ОГЛЯД СУЧАСНИХ ПІДХОДІВ ДО УПРАВЛІННЯ МАТЕРІАЛЬНИМИ РЕСУРСАМИ ПРОМИСЛОВОГО ПІДПРИЄМСТВА

The purpose of the article is a general overview of approaches to the management of material resources of a manufacturing enterprise. Approaches to defining the concepts of "material resources" and "material resources of the enterprise" and the composition of the material resources of the enterprise are analyzed. It is agreed that material resources include raw materials, main and auxiliary materials, component products, fuel, work in progress and production waste. Features of material resources as an object of management at the enterprise are highlighted and include material form, usage in production process, transfer of their value to the value of produced products. An analysis of individual approaches to material resource management is carried out, in particular, integral, functional, logistic and reengineering approaches. An improved list of material resource management tasks within the framework of individual functional divisions of the enterprise is proposed. The functional divisions include economic and planning, marketing, procurement, accounting, legal department, production, information department. Areas of activity in the field of management of material resources of an industrial enterprise within the framework of separate management functions are suggested and grouped, including activities aimed at coordinating other management functions. In particular, the market factor is the basis of planning, and the need to implement an information system for the management of material resources and ensure its smooth operation to ensure the coordination of management activities for the management of material resources is emphasized. The place and role of the company's information system is determined as such that helps unification of data sources, serves as information base for management decisions, allows to improve the process of management of material resources, ensures higher level of control and risks prevention, reduces the risk of human factor. Proposals for further scientific research were formed.

AI and Machine Learning in Enhancing Scalability and Efficiency of Integrated E-commerce and ERP Systems

This article explores the transformative potential of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing the integration of E-commerce platforms with Enterprise Resource Planning (ERP) systems. As E-commerce experiences explosive growth and ERP systems become increasingly complex, businesses face significant challenges in maintaining scalability and efficiency. We examine how AI and ML can optimize various aspects of these integrated systems, from intelligent automation and predictive analytics to anomaly detection and decision support. Through case studies and analysis of current trends, we demonstrate the tangible benefits of AI/ML implementation, including reduced costs, improved accuracy, and enhanced customer experiences. The article also addresses key challenges such as data quality, scalability, ethical considerations, and the skills gap. Finally, we explore future research directions in explainable AI, edge computing, blockchain integration, and natural language processing, highlighting their potential impacts on the E-commerce and ERP landscape.

Prediction of Overall Equipment Effectiveness in Assembly Processes Using Machine Learning

Abstract Nowadays, a lot of data is generated in production and also in the domain of assembly, from which different patterns can be extracted using machine learning methods with the support of data mining. With the support of various modern technical and Information Technology (IT) tools, the recording, storage and processing of large amounts of data is now a routine activity. Based on machine learning, efficiency metrics including Overall Equipment Effectiveness (OEE), can be partially predicted, but industrial companies need more accurate and reliable methods. The analyzed algorithms can be used in general for all production units or machines where production data is recorded by Manufacturing Execution System (MES) or other Enterprise Resource Planning (ERP) systems are available. This paper presents and determinates which most used machine learning methods should be combined with each other in order to achieve a better prediction result.

Professionalization and knowledge management in enterprise systems adoption in Mexican manufacturing firms

ABSTRACT Advanced integrated management systems are playing a decisive role in Industry 4.0. Therefore, it is important to understand the influence and effects of knowledge management (KM) and professionalization (PR) on their development. This research aims to propose that PR and KM help firms adopt and implement enterprise resource planning (ERPs) and business intelligence (BI) systems. The study uses PLS-SEM to analyse a sample of 120 firms collected through an electronic instrument focused on decision-makers in the manufacturing industry of Coahuila, Mexico. The results show that KM and PR positively affect ERP and BI systems and that ERPs partially mediate PR, KM, and BI systems.

A Survey on Enterprise Resource Planning and Building Information Modeling Integration: A Construction 4.0 Perspective

Managing the fragmented nature of information generated on construction sites and firms is the need of the hour. Building Information Modeling (BIM) and Enterprise Resource Planning (ERP) are the most prevalent information systems (ISs) used in the construction industry, with varied capabilities but also with significant overlap. It is essential to analyze the current state of Common Data Environments (CDEs) that support both BIM and ERP as separate systems, as well as those that facilitate their integration. This analysis will ultimately help establish a practical framework for implementing this integration, enabling smoother information flow and enhanced utilization in construction projects. This paper presents a bibliometric analysis and provides a global perspective on research developments in the field of construction ERP and its integrations with BIM. It consolidates publication data from various databases (e.g., Scopus and Web of Science) as per geographical spread, authors, and number of publications as per the keyword search. It observes key research themes in each phase of the analysis. This paper concludes that although the existing literature has established the benefits of BIM and ERP integration, research is still in its nascent stage and identifies research gaps that can be taken up for further research.

A federated information system framework for vertical integration

The convergence of operational and information technology in the era of Industry 4.0 has significantly increased the volume of data being generated on the manufacturing shop floors. Current research trends have focused on integrating this data with information present throughout the different systems in manufacturing facilities from Enterprise Resource Planning (ERP) to Manufacturing Execution System (MES) software, otherwise known as vertical integration. More specifically, previous works have looked at aggregating this data being read from Open Platform Communication Unified Architecture (OPC UA) servers by utilizing centralized aggregation servers to create information systems. This article, however, proposes a framework that adopts a federated information system designed to fulfill the manufacturing industry’s requirements and is capable of connecting to different OPC UA servers and storing the data within knowledge graph-based information models. GraphQL servers are also utilized in this system for easy accessibility of information by users. This system provides modularity, scalability, and interoperability to supplement the capabilities of information systems previously implemented. A prototype was also developed in this article for a federated information system for a boiler monitoring system.

Strategi Pengembangan dan Pemasaran Digital Industry Agency

This research aims to report on the development of Digital Industry Agency (DIA), covering the company’s identity, organization, target market, and financials. DIA, known for specializing in the development of digital products, focuses on big data and ERP (Enterprise Resource Planning) systems. The goal of establishing DIA is to address various issues within companies related to Industry 4.0 through digitalization. ERP, as the main product, is designed to enhance company efficiency and effectiveness by integrating systems and business processes into a unified platform that can be used by all departments and branches of the company. DIA has successfully overcome challenges in developing and marketing digital solutions, particularly ERP, in the era of Industry 4.0. By focusing on innovation and digitalization, DIA has been able to improve operational efficiency and expand its market reach. The strategy of combining digital technology with service personalization has proven effective in attracting and retaining customers. To maintain its position as a leader in Indonesia's digital industry, DIA is advised to continue investing in advanced technology, human resource training, and product innovation to stay competitive and relevant in the market. Sustained investment in technology and product development will ensure DIA remains a key player in an ever-evolving market.

Optimization of Banyuwangi Festival Management through ERP-Tourism Using Dashboard

Tourism is an economic sector that has an important role in regional economic growth, including in Banyuwangi Regency. Banyuwangi Festival, as one of the main attractions, faces various challenges in its management, ranging from event coordination to performance monitoring. This research aims to optimize the management of Banyuwangi Festival through the implementation of Enterprise Resource Planning (ERP)-Tourism supported by the use of interactive dashboards. This research utilizes the Rapid Application Development (RAD) method, which involves various stakeholders in the system development process. The research findings show that the implementation of ERP-Tourism and interactive dashboards is able to improve the efficiency, effectiveness, and quality of festival management. The theoretical implications of this research include the development of literature related to the use of ERP technology in the tourism sector and its contribution to event management. Practically, the results of this study can be used as a guide for festival managers in improving the quality and efficiency of their events. Recommendations for future research include expanding the application of the ERP-Tourism system to other tourism events in Banyuwangi and other regions, as well as further developing dashboard features to meet the specific needs of different types of events. Thus, it is expected that this system can provide wider and sustainable benefits to the tourism sector and regional economy