Enterprise Resource Planning Systems Research Articles

An Approach to Sustainable Enterprise Resource Planning System Implementation in Small- and Medium-Sized Enterprises

The adoption of sustainable enterprise resource planning systems in small and medium-sized enterprises represents a strategic response to the evolving landscape of corporate responsibility and environmental stewardship. This study seeks to identify which factors determine the level of satisfaction when implementing a sustainable enterprise resource planning system in small- and medium-sized business. A survey was designed to measure managers’ satisfaction with S-ERP implementation in their companies. A multivariate analysis was run to test the factors affecting the level of satisfaction with the implementation. The general results show that the type of module implemented positively and significantly affects the level of satisfaction with S-ERP. One specific result is that the more accounting modules implemented, the more complex the system is, and the more effort is needed to implement the new technology effectively and use it properly. Another result shows that the sales marketing module has an inverse impact on satisfaction with an S-ERP, possibly because this module is complex and difficult to manage. This study contributes significantly to the emerging body of knowledge on S-ERP implementation by seeking to fill the research gap on the interaction between the S-ERP system and user’s satisfaction, focusing on small businesses. Future research directions should delve into the long-term impact of sustainable ERP adoption on SME performance and resilience. Additionally, investigating the effectiveness of government policies in supporting sustainable ERP adoption, along with exploring the actual environmental impact of ERP systems in SMEs, can contribute to advancing our understanding of this dynamic and evolving field.

Enhancing College ERP Portal for Streamlined Student Services

The integration of Enterprise Resource Planning (ERP) systems within educational institutions has revolutionized administrative processes, transforming them into streamlined and automated operations. ERP college web applications serve as centralized platforms that seamlessly integrate various facets of college management, including student and faculty management, course administration, financial operations, and library services. These systems provide students with easy access to academic records, schedules, and resources while enabling faculty to efficiently manage course materials, assignments, and grades. Continual enhancements and modernizations ensure that these platforms meet current technological standards, offering improved user experiences through mobile compatibility, enhanced user interfaces, and integration with Learning Management Systems (LMS). By automating routine administrative tasks and providing advanced analytics capabilities, ERP college web applications contribute significantly to the efficiency and effectiveness of educational institutions, ultimately enhancing the overall college experience for students, faculty, and staff. This work addresses an enhanced ERP system for streamlining the student services. Keywords— Enterprise Resource Planning (ERP), User Experience, User Interface, college, students

ERP implementation and earnings management: The moderating effect of an independent board of commissioners

This research examines the moderating effect of the Independent Board of Commissioners on the relationship between implementing an enterprise resource planning system (ERP) and earnings management in non-financial companies in the Indonesia Stock Exchange. The earnings management variable is proxied through discretionary accruals, which refer to the calculation of the modified Jones model. This research used panel data from 85 companies from 2017 – 2020 to obtain a sample of 340. Employed the moderated regression analysis, the research finds that ERP implementation significantly influences the decline in earnings management. At the same time, the Independent Board of Commissioners can strengthen the relationship between the implementation of ERP systems and earnings management. This study contributes to expanding literature related to company information systems by providing evidence of the influence of ERP implementation on earnings management and how the Independent Board of Commissioner contributes to the relationship.

Enhancing sustainability integration in Sustainable Enterprise Resource Planning (S-ERP) system: Application of Transaction Cost Theory and case study analysis

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.

Environmental optimization and operational efficiency: Analysing the integration of life cycle assessment (LCA) into ERP systems in Moroccan companies

During the 2000s, the synergy between Life Cycle Assessment (LCA) and Enterprise Resource Planning (ERP) systems represented a major step forward in the integration of environmental sustainability into basic business processes. This study set out to investigate how Moroccan enterprises incorporate LCA into their ERP systems, aiming to understand the impact on environmental sustainability and operational efficiency. Through a methodical empirical study, involving a survey distributed to 220 companies across Morocco, the study garnered 95 qualified responses. These responses, from companies that own and operate ERP, were analysed using SPSS V25.0 for statistical and correlation analysis. The findings highlighted that the fusion of LCA into ERP systems fosters a more sustainable and efficient framework for business operations among Moroccan companies. Such integration not only secures a competitive advantage for businesses but also contributes to global sustainability goals. The analysis verified that Moroccan companies, by weaving LCA into their ERP systems, can refine their decision-making by weighing environmental alongside economic and operational considerations. This integrated approach underpins a holistic sustainability framework, helping companies align their activities with environmental targets more effectively. Moreover, the survey illuminated a pronounced correlation between the company size and the propensity for integrating LCA into ERP systems, with larger firms showing a more marked inclination towards this synergy compared to their smaller counterparts. Consequently, integrating LCA with ERP systems is revealed as a pivotal strategy for Moroccan businesses, equipping them with a mechanism to embed sustainability into their operational and strategic planning.

An experimental investigation of the impact of sustainable ERP systems implementation on sustainability performance

Purpose This paper aims to investigate the influence of sustainable enterprise resource planning (S-ERPs) systems implementation on sustainability performance. Design/methodology/approach A 1 × 2 experiment was conducted, involving a sample of 72 professional accountants enrolled in MPA, MBA and DBA programs at two prominent Egyptian universities. Simple linear regression was used to analyze the data. Findings The results reveal positive relationships between the implementation of S-ERPs and economic, environmental and social sustainability performance. Research limitations/implications Considering the research methodology used, which relies on a laboratory experiment design; nevertheless, empirical data derived from a quasi-experiment conducted in a real-world context would offer valuable insights into the existing literature. Practical implications For manufacturing sector managers, the results offer value as organizations can benefit from S-ERP adoption in the internal and external integration of sustainability functions. The findings also provide decision-makers in the manufacturing context, particularly in emerging countries, with tangible reasons to consider S-ERP adoption for holistic sustainability benefits including waste management, resource consumption reduction and management of sustainable supply chain complexities. Further, the findings provide valuable insights for ERP vendors on how they can develop their ERP packages to align with software sustainability criteria. Originality/value This study is among the few that experimentally investigates the influence of S-ERPs implementation on sustainability performance within the manufacturing sector, especially in an emerging context such as Egypt. This unique contribution provides valuable insights into the complex connection between technology adoption and sustainability outcomes.

Design of product configuration systems supporting customised product cost estimation using object-oriented ontology framework

The manufacturing sector is undergoing a significant transformation driven by the demand for personalised products, challenging manufacturers to provide precise quotations while maintaining cost control and profitability. Product Configuration Systems (PCS) play a pivotal role in supporting product configurations, facing challenges such as data integration, cost calculation relevance, and the need for a knowledge expression framework. This study significantly contributes by delineating an object-oriented ontology framework tailored for configurable product families within PCS. It incorporates comprehensive domain information models for MBOM, inventory, purchase, manufacturing, and sales and distribution. Additionally, the study proposes a domain information model-based cost estimation, integrating actual values from existing Enterprise Resource Planning (ERP) systems for various cost aspects. Design patterns for transforming domain information models into system implementations are introduced, covering both data and business operation layers. Practical application and feasibility are demonstrated through a detailed case study, emphasising the method's practicality. The proposed approach empowers manufacturers to derive accurate product cost estimates, supporting well-informed business decisions. Future research directions involve refining product model configurations, expanding support for diverse product types, and integrating additional digital technologies for an enhanced user experience. Further exploration of labour, equipment, and engineering design expenses aims to enhance cost estimation accuracy.

STRATEGIC OPERATIONS MANAGEMENT IN FMCG: A COMPREHENSIVE REVIEW OF BEST PRACTICES AND INNOVATIONS

Strategic operations management (SOM) in the fast-moving consumer goods (FMCG) industry plays a crucial role in driving efficiency, quality, and customer satisfaction. This paper presents a comprehensive review of best practices and innovations in SOM within the FMCG sector, aiming to provide insights into how companies can optimize their operations to achieve competitive advantage and sustainable growth. The review begins by examining the key challenges faced by FMCG companies, including demand volatility, short product life cycles, and complex supply chains. It then explores how strategic operations management practices can help address these challenges and improve overall performance. One of the key areas of focus in SOM for FMCG companies is inventory management. Best practices such as demand forecasting, lean inventory principles, and just-in-time (JIT) inventory systems are discussed, highlighting their importance in reducing stockouts, minimizing waste, and improving overall supply chain efficiency. Another critical aspect of SOM in the FMCG industry is production planning and scheduling. The review outlines how advanced planning tools, such as enterprise resource planning (ERP) systems and advanced analytics, can help FMCG companies optimize production processes, reduce lead times, and enhance flexibility to respond to changing market demands. Furthermore, the paper discusses the role of technology and innovation in enhancing SOM practices in the FMCG sector. It explores how technologies such as automation, artificial intelligence (AI), and the Internet of Things (IoT) are transforming FMCG operations, enabling companies to achieve higher levels of efficiency, quality, and sustainability. The review also highlights the importance of collaboration and partnerships in SOM for FMCG companies. It discusses how strategic alliances with suppliers, distributors, and other stakeholders can help FMCG companies optimize their supply chains, reduce costs, and improve customer satisfaction. Overall, this paper provides a comprehensive overview of best practices and innovations in strategic operations management for FMCG companies. It emphasizes the importance of adopting a holistic approach to SOM, integrating people, processes, and technology to achieve competitive advantage and sustainable growth in the dynamic FMCG industry. This review paper systematically examines existing literature on operations management within the FMCG sector, highlighting effective strategies for coordinating operations, crew scheduling, and logistics to uphold professionalism and achieve peak performance. It aims to aggregate insights on process improvement opportunities, conflict management techniques, and cross-functional team dynamics that have led to world-class customer experiences and increased product sales. The review will also discuss the role of technology in maintaining operational records and facilitating continuous improvement in FMCG logistics and supply chain management.
 Keywords:  Innovations, Best Practices, SOM, FMCG, Comprehensive.

Empowering Manufacturing: Generative AI Revolutionizes ERP Application

This article delves into the transformative implications of integrating state-of-the-art Generative AI technologies into Enterprise Resource Planning (ERP) applications within the manufacturing industry. With the manufacturing landscape experiencing rapid evolution, there is a growing imperative for adaptive and intelligent systems to optimize efficiency, productivity, and decision- making processes. Through the exploration of Generative AI's natural language processing capabilities, this article unveils a new frontier in smart manufacturing, where ERP systems are empowered to redefine conventional paradigms and catalyze innovation. Furthermore, this article examines Generative AI's impact on supply chain management, leveraging its capacity to process extensive textual data for enhanced demand forecasting, inventory optimization, and risk management. This enhances the adaptability and resilience of manufacturing ecosystems, enabling them to navigate dynamic market conditions with agility.

Understanding the impact of technological flexibility at different decision levels to reap enterprise resource planning benefits

PurposeThis paper aims to provide a framework regarding Information Technology (IT) Flexibility in Supply Chain and its relationship with the benefits we could see from Enterprise Resource Planning (ERP) systems. Furthermore, this research explores the moderating effect of Process Integration Capability in the relationship between IT flexibility and ERP benefits.Design/methodology/approachThis research model will help organizations get additional benefits from their ERP systems that incurred huge costs, time and multiple resources at their implementation. The technique used for analyzing data is structural equation modeling (SEM), and data is collected from 107 respondents through a questionnaire from Business and IT Professionals.FindingsThe study findings reveal a positive and significant relationship between IT flexibility and ERP systems benefits; moreover, results also confirmed that the organization's process integration capability significantly increased the benefits of ERP systems. The findings also highlight empirical evidence about the significance of the top-to-bottom approach investing in IT flexibility and the bottom-to-top approach during the implementation of IT systems for successful implementations.Practical implicationsThis study has various implications for practitioners that help them successfully implement and long-term viability of their IT infrastructure.Originality/valueThis study's findings will help IT managers and strategists make effective decisions for creating IT flexibility in alignment with the strategic goals to realize the desired results expected from ERP systems and implementations of new IT systems.

Phenomenological Review of the Role of the Internal Control System and Corporate Culture in Enterprise Resource Planning (ERP) System Implementation to Produce Quality Financial Reports

The best way to influence the quality of financial reports is to use an Enterprise Resource Planning (ERP) system. Implementation of an ERP system with an internal control system and corporate culture can help companies and management make decisions. This study aims to look at the interpretative-phenomenological role of internal control systems and corporate culture by implementing ERP systems to produce quality financial reports. The research method uses a qualitative interpretative-phenomenological paradigm. The informant determination technique in this study used purposive sampling. The data collection procedure used in this study was designing research instruments for the interview process, making transcripts, then conducting interviews with nine informants. The results of this study, there is an internal control system and corporate culture, with the implementation of the ERP-SAP system carried out in accordance with established Standard Operating Procedures, resulting in quality financial reports.

From Dissonance to Dialogue: A Token-Based Approach to Bridge the Gap Between Manufacturers and Customers

This article presents a novel token-based recall communication system, which integrates Enterprise Resource Planning (ERP) systems and blockchain technology to enhance recall communication and cooperation between manufacturers and customers. We employed a design science research methodology to develop a set of design principles and features that support the interoperable system. Our findings demonstrate that we can significantly improve recall coordination, traceability, and co-value creation between involved parties. By focusing on the integration potential of traditional technologies like ERP systems with blockchain and token techniques, we reveal innovative synergies for both social and technical subsystems. The study explores the implications of the proposed system for both theory and practice, offering insights into the advantages and challenges of such integration. The evaluation conducted with industry experts demonstrates high reusability of the design principles.

Geometric-arithmetic mean inequality for q-rung orthopair fuzzy Hamacher aggregations

The geometric-arithmetic mean inequality is undoubtedly the most important one in the area of information aggregation. Recently, some q-rung orthopair fuzzy aggregation operators were proposed based on the Hamacher operations. In this paper, we give a detailed theoretical and practical analysis of the developed Hamacher arithmetic and geometric operators for q-rung orthopair fuzzy values. First, we investigate the monotonicity of these Hamacher aggregation operators on q-rung orthopair fuzzy values with respect to the parameter within Hamacher operations. Then, we discuss the limiting cases of these q-rung orthopair fuzzy Hamacher aggregation operators as the parameter therein approaches to zero or infinity and give a new characterization of the boundedness of these aggregation operators. Subsequently, we establish the geometric-arithmetic mean inequality for q-rung orthopair fuzzy information based on Hamacher operations. Finally, we present a decision making method by use of these aggregation operators and apply it to the problem of enterprise resource planning system selection.

AUTOMATION WORK ORDER AND MASTER PRODUCTION SCHEDULE IN ENTERPRISE RESOURCES PLANNING FOR PT SFP

<p><strong>In today's dynamic business landscape, manufacturing enterprises like PT SFP face the constant challenge of optimizing their production processes to remain competitive. The Enterprise Resources Planning (ERP) architecture will be used to develop an integrated solution to automate work order administration and master production scheduling. The production and planning division is a very important process and is interconnected with one another. Since manufacturing is the most demanding business process in a company's activities, the significance of the planning system is greatly raised. Even though the company already has an ERP system that is quite integrated, there are still many processes that are still carried out offline which causes manual inefficiency, this not only increases waiting time but can also cause anomalies. This project provides ERP development ideas, especially in the Production and Planning module for PT SFP by implementing automation and integration in the work order planning workflow to improve business processes. It includes the business process of creating Order Confirmation (OC) Receiving Date Input, and automation of planning work order creation, usage standards in the work order and the work order itself. This system is expected to be more effective and efficient in the field of production planning using ERP web-based that can be accessed online.</strong></p>

Analysis of the Role of Accountants in the Development of Enterprise Resource Planning Systems in the Era of Industrial Revolution 4.0

This study aims to analyze the role of accountants in the development of ERP systems in the 4.0 era. Accountant roles as strategist, ERP expert, IT expert and communicator. This study uses qualitative methods with data collection techniques, namely interviews. Data validation was checked using the triangulation method. The research results show that (1) the role of the accountant as a strategist functions to review the company's system and then develop a strategy for the development of the company's system; (2) the accountant's role as an ERP expert serves as a monitor that oversees and controls the company's systems; (3) the role of the accountant as an IT expert serves to provide accounting data information in the company's system; (4) the role of accountants as communicators does not have much effect because they have been replaced by artificial intelligence functions in company system applications

Economic Crisis and its Effects on ERP Adoption in Sri Lanka

ERP (Enterprise Resource Planning) systems are comprehensive software platforms that are specifically designed to manage a wide range of a business's essential processes, including finance, accounting, human resources, procurement, inventory management and project management. In the event of a country facing forthcoming economic collapse, organizations often find it challenging to determine the technological innovation activities they should engage in. The proliferation of the IT industry and its associated value proposition has led to the adoption of ERP systems becoming a popular strategic decision for businesses in the contemporary world. However, organizations' perception affects their inclination to adopt new technologies during economic crises. Hence, identifying factors influencing ERP adoption and assessing crises' impact on such systems is crucial. This research endeavor aims to examine the factors that are likely to exert a significant influence on the adoption of ERP systems within the context of Sri Lanka. The study adopts the Technological - Organizational – Environmental (TOE) framework to provide a comprehensive understanding of the factors that affect the adoption of ERP systems in organizations in Sri Lanka. This study seeks to investigate how the factors identified impact the adoption of ERP systems and how the turbulent economic condition in Sri Lanka has affected it. Existing scholarly literature on ERP adoption during an economic crisis is relatively scarce, and thus, this study will fill a critical gap in the body of knowledge. Furthermore, this study will offer invaluable insights into the importance of the identified factors, ICT Infrastructure, Human Capital, Competitive Pressure, Demand for Products or Services and Trading Partners’ Readiness for business communities in Sri Lanka. Also, this will provide insights into how a country's finance affects ERP adoption, helping organizations make informed technology adoption decisions. Keywords: Economic crisis, Enterprise Resource Planning systems, ERP adoption, Innovation and Technology, Technology adoption and PLS-SEM.

A CRITICAL REVIEW OF ERP SYSTEMS IMPLEMENTATION IN MULTINATIONAL CORPORATIONS: TRENDS, CHALLENGES, AND FUTURE DIRECTIONS

Enterprise Resource Planning (ERP) systems have become indispensable tools for managing complex business processes in multinational corporations (MNCs). This paper presents a critical review of the trends, challenges, and future directions associated with ERP systems implementation in the context of MNCs. The study synthesizes existing literature to offer a comprehensive understanding of the evolving landscape of ERP adoption in a globalized business environment. The trends in ERP implementation within MNCs underscore the increasing reliance on integrated software solutions to enhance operational efficiency and facilitate seamless communication across diverse geographical locations. Notably, the integration of emerging technologies such as artificial intelligence, machine learning, and blockchain into ERP systems has gained traction, presenting new opportunities and complexities for MNCs. However, the implementation of ERP systems in MNCs is not without challenges. Cultural diversity, varying regulatory frameworks, and differences in business practices across regions pose significant obstacles to successful deployment. Additionally, the sheer scale and complexity of MNCs' operations demand careful consideration of customization needs, scalability, and alignment with organizational goals. The critical review highlights the need for a strategic approach to ERP implementation in MNCs. Successful cases often involve top management commitment, extensive user training, and a phased implementation strategy that accommodates regional variations. Furthermore, the study emphasizes the importance of post-implementation evaluation and continuous improvement to address evolving business requirements. Looking ahead, future directions in ERP systems implementation within MNCs are shaped by the rapid evolution of technology and the dynamic nature of global business. The integration of cloud-based solutions, the advancement of Industry 4.0 technologies, and the increasing emphasis on sustainability are anticipated to influence the next wave of ERP adoption in MNCs. This critical review contributes valuable insights into the current state of ERP systems implementation in multinational corporations, addressing trends, challenges, and future directions. It provides a roadmap for practitioners, researchers, and policymakers to navigate the complexities of ERP adoption in the ever-evolving landscape of global business.
 Keywords: ERP, MNCs, Industry 4.0, Multinational, Corporation, Review.

How the interaction of innovation and ERP systems on business intelligence affects the performance of Mexican manufacturing companies

PurposeThe present study shows that the implementation and development of enterprise resource planning (ERP) systems as a technological innovation provide a competitive advantage that helps to improve the functionality of business intelligence (BI) systems in the digital transformation of manufacturing companies, in addition to improving overall firm performance.Design/methodology/approachThe research uses the structural equation approach based on PLS-SEM technique with a sample of 120 firms in the manufacturing industry in Coahuila, Mexico.FindingsThe paper provides empirical insights into how the interaction of ERP systems and innovation significantly affects the functionality of BI Systems and has a substantial effect on overall firm performance.Originality/valueEmpirical evidence of how advanced digital management systems (ERP and BI) impact digitalization processes in organizations by improving performance is still scarce.

Master Data Quality and Business Rules: A Comprehensive Analysis

Within the context of enterprise resource planning (ERP) systems, this study aims to investigate the critical intersection of master information integrity with business rules. Quality master data that is in line with defined business regulations is crucial to the potency of data management systems in this era where data is the foundation for informed decision-making. The complex interplay between acquire data quality and business rule creation, deployment, and enforcement in various organizational settings is the focus of this research. The study takes a holistic view of the interdependent nature of master data quality & business rules by integrating theoretical frameworks, empirical analysis, and case studies. This research seeks to enhance our understanding of the opportunities and challenges that organizations encounter when trying to optimize the management of their information processes by analyzing practical situations and industry best practices to identify the critical factors impacting data quality and how they interact with business rules. In addition, the study delves into the impacts of poor mastery data quality on business rule effectiveness, and, on the other hand, how clearly specified business rules can improve master data quality. Researchers hope that businesses will be able to use the findings to strengthen their data governance plans and create a more flexible method of data management. Keeping ahead of the competition in today's data-driven world requires a deep grasp of the connection between core information integrity and business regulations, since data remains a valuable strategic asset for organizations.

Implementing AI-Driven Efficiency: Best Practices for Intelligent Order Processing in SAP

Abstract: In today's hyper-competitive business environment, streamlining order processing is crucial for maximizing efficiency, minimizing errors, and fostering customer satisfaction. Traditional methods, often manual and error-prone, struggle to keep pace with the demands of modern commerce. This paper delves into the transformative power of Artificial Intelligence (AI) in revolutionizing order processing within SAP. the leading Enterprise Resource Planning (ERP) system. The article explores the integration of Artificial Intelligence (AI) and Optical Character Recognition (OCR) technologies, shedding light on how this union reshapes traditional workflows. From streamlining data entry processes to empowering intelligent decision-making, the article delineates the best practices for organizations seeking to harness the power of AI in SAP order processing. The discussion encompasses key considerations before implementation, seamless integration strategies, and best practices in training AI models. Real-world case studies illustrate successful implementations, highlighting the tangible benefits achieved in terms of efficiency, accuracy, and overall workflow optimization.