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In this book, noted expert Andrew Okungbowa explains SAP Asset Accounting (FI-AA) in SAP-ERP, including its associated business benefits, and guides you through the considerable complexities of SAP-ERP configuration. Using FI-AA for fixed asset management enables you to manage assets in multinational companies across a broad range of industries and produce reports to meet various needs in line with legal requirements. Configuring SAP-ERP can be a daunting exercise, however, and there are few resources that address these issues.Asset Accounting Configuration in SAP ERP fills that resource gap by covering the major aspects of SAP FI-AA for anyone with SAP experience and the basic accounting knowledge and bookkeeping skills necessary to apply configuration. It provides configuration explanations in the simplest forms possible and provides step-by-step guidance with illustrations and practical examples.

Aim/Purpose: This study addresses the gap in understanding how students’ perceptions of the SAP ERP system - specifically system playfulness and system anxiety - evolve as they gain experience. The study seeks to determine how these perceptions influence user engagement and system adoption in academic environments, where ERP systems are increasingly integrated into curricula. Background: Despite the widespread use of SAP ERP in education, little research has examined the dynamic nature of students’ positive (playfulness) and negative (anxiety) perceptions as they interact with the system over time. This paper explores how increased experience with SAP ERP affects these key perceptual factors, offering insights relevant to both theory and practice. Methodology: A pre-post test survey was conducted with 56 upper-level undergraduate business students enrolled in a course utilizing SAP ERP. Students’ perceptions of system playfulness and system anxiety were measured using validated scales at two points during the semester: early (after initial exposure) and late (after extensive hands-on experience). Factor analysis confirmed the validity of the constructs, and paired t-tests assessed changes in perceptions over time. Contribution: This study contributes to the literature by empirically demonstrating how user experience shapes both positive and negative perceptions of ERP systems in an educational setting. It provides evidence that system anxiety decreases and system playfulness increases with experience, informing strategies for improving ERP training and adoption. Findings: System playfulness and system anxiety are valid, distinct constructs influencing user perceptions of SAP ERP. As students gain more experience with SAP ERP, system anxiety significantly decreases, while system playfulness moderately increases. Despite increased experience, overall perceptions of playfulness remain neutral, suggesting that SAP ERP is not inherently engaging for students. The reduction in anxiety is more pronounced than the increase in playfulness, indicating that familiarity primarily alleviates negative perceptions rather than enhancing positive ones. Recommendations for Practitioners: Training programs should prioritize reducing system anxiety through early, supportive, and hands-on exposure to ERP systems. Efforts to make ERP systems more engaging should be incorporated, but reducing apprehension may yield greater improvements in user satisfaction and adoption. Recommendation for Researchers: Future studies should explore additional factors influencing playfulness and anxiety, such as instructional design, interface usability, and peer support. Research should examine whether similar perceptual changes occur in professional or non-academic contexts and with other ERP platforms. Impact on Society: Improving the user experience of ERP systems in educational settings can better prepare students for digital workplaces, increase technology adoption rates, and reduce barriers to learning complex enterprise software. Future Research: Future research should investigate interventions that explicitly target playfulness to enhance engagement, extending such studies across diverse populations and organizational settings to improve the generalizability of findings. Additionally, longitudinal designs that go beyond a single semester are needed to examine the lasting impacts of these experiences on individuals’ perceptions over time.

Process mining provides a collection of techniques to gain insights into business processes by analyzing event logs. Organizations can gain various insights into their business processes by using process mining techniques. Such techniques use event logs extracted from relational databases supporting the business process as input. However, extracting event logs is challenging due to the size of the data, and it remains ad-hoc. Existing commercial tools partly support the extraction of event logs, but they are proprietary and focus on the mainstream processes such as Purchase-To-Pay (P2P) and Order-To-Cash (O2C). Moreover, the extracted event logs suffer from well-known deficiency, convergence, and divergence issues. For example, due to convergence events are unintentionally duplicated causing unreliable or confusing performance diagnostics. In this paper, we propose an approach to extract event logs while avoiding the aforementioned issues. More in detail, we extract object-centric event logs by using an abstraction layer of the database, called Graph of Relationships (GoRs), designing blueprints with domain knowledge, and converting the database and blueprint into object-centric event logs.We fully implemented the proposed approach, which can extract object-centric event logs from SAP ERP systems, and evaluate the utility and scalability of the proposed approach.

\"Looking for the tools to boost your sales sky high? With this comprehensive guide, you'll learn to implement, configure, and use SAP Sales Cloud. Create leads, process opportunities, and explore partner channel management. Then integrate the solution with your ERP system to handle quotations and orders. Finally, migrate and replicate your existing sales data and personalize and extend SAP Sales Cloud\"-- Provided by publisher.

This paper takes a new material enterprise in Shaanxi as the research subject, obtaining the production order, process parameters, employee information, material information and other data by analyzing the API interface of enterprise information management system SAP ERP, and gaining the machine operation status data through the network card communication of industrial Internet architecture. Based on the obtained data, a production monitoring management model is established to achieve the functions of automatic production scheduling, equipment monitoring and health status management, process material flow, production work report and so on. On the basis of the networking and real-time monitoring data acquisition of the equipment, the current health status and future fault trend of the equipment are evaluated, and a series of operation and maintenance support decisions and task planning suggestions are provided. Finally, the MES system based on industrial Internet architecture is designed and implemented, which realizes the intelligent operation and maintenance of production equipment objects, and solves the problems of human, machine unified management, control and maintenance of materials.

An intelligent system for SAP ERP user support is proposed in this paper. It enables automatic replies on users' requests for support, saving time for problem analysis and resolution and improving responsiveness for end users. The system is based on an ensemble of machine learning algorithms of multiclass text classification, providing efficient question understanding, and a special framework for evidence retrieval, providing the best answer derivation.