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Journal articles on the topic 'SAP SuccessFactors'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Suwarno, Suwarno, and Nellsen Purwandi. "Optimisasi Implementasi SAP SuccessFactors Menggunakan Agile Scrum dalam Konsultasi Aplikasi." Jurnal Pengabdian Pada Masyarakat 10, no. 1 (2025): 221–29. https://doi.org/10.30653/jppm.v10i1.964.

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Optimalisasi sistem manajemen sumber daya manusia merupakan hal yang sangat penting dalam menghadapi perubahan bisnis yang cepat. Salah satu sistem yang dapat mengelola hal tersebut adalah SAP SuccessFactors. Tujuan dari pengabdian ini adalah untuk meningkatkan efisiensi dan efektivitas penggunaan SAP SuccessFactors di PT. Weefer Indonesia dalam kegiatan konsultasi produk. Metode yang digunakan dalam kegiatan ini adalah agile scrum, yang terdiri dari beberapa tahapan, yaitu perencanaan sprint, pengembangan iteratif, daily stand-up meetings, dan evaluasi berkala. Melalui pendekatan ini, impleme

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Sasi, Kiran Parasa. "Integrating Microsoft Teams with SAP SuccessFactors: Enhancing Workforce Collaboration and Efficiency." Journal of Scientific and Engineering Research 8, no. 11 (2021): 214–16. https://doi.org/10.5281/zenodo.13753132.

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The integration of Microsoft Teams with SAP SuccessFactors represents a significant advancement in streamlining human resources (HR) processes and enhancing employee collaboration within organizations. By merging the capabilities of Microsoft Teams a leading communication and collaboration platform with SAP SuccessFactors a robust human capital management (HCM) suite business can provide employees with seamless access to HR tools and information directly within their daily communication channels. This paper explores the various aspects of integrating Microsoft Teams with SAP SuccessFactors, in

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Pavan, Kumar Devarashetty. "Revolutionizing HR Operations: How SAP SuccessFactors Drives Efficiency through Cloud-Based Human Capital Management." International Journal of Leading Research Publication 5, no. 6 (2024): 1–12. https://doi.org/10.5281/zenodo.14646463.

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In today's rapidly evolving business landscape, Human Resource (HR) operations face mounting challenges, including managing a diverse workforce, ensuring compliance, and driving employee engagement. Traditional HR systems often fall short due to inefficiencies, lack of scalability, and disconnected workflows. SAP SuccessFactors, a leading cloud-based Human Capital Management (HCM) solution, emerges as a transformative platform addressing these challenges. By leveraging cutting-edge technologies such as cloud computing, real-time analytics, and mobile integration, SAP SuccessFactors enhances wo

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Parasa, Sasi Kiran. "Use of SAP Intelligent RPA in SAP SuccessFactors." Journal of Artificial Intelligence & Cloud Computing 1, no. 2 (2022): 1–2. http://dx.doi.org/10.47363/jaicc/2022(1)374.

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This paper explores the integration of SAP Intelligent Robotic Process Automation (RPA) within SAP SuccessFactors, emphasizing the impact on human resources (HR) operations. SAP Intelligent RPA, a cloud-based automation tool, enables businesses to automate repetitive tasks, improving efficiency and accuracy.

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Parasa, Manoj. "Building Real-Time Workforce Analytics Dashboards in SAP SuccessFactors Using SAP BTP and Embedded Machine Learning Models." International Research Journal of Innovations in Engineering and Technology 06, no. 10 (2022): 148–52. https://doi.org/10.47001/irjiet/2022.610030.

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This study investigates the design and deployment of real-time workforce analytics dashboards within the SAP SuccessFactors ecosystem, leveraging the capabilities of the SAP Business Technology Platform (BTP) and embedded machine learning models. The primary objective is to transform static HR reporting into predictive, interactive decision support tools. Using a design science approach, the research integrates data pipelines from SAP SuccessFactors through SAP Data Intelligence, processes this information via SAP HANA, and visualizes insights using SAP Analytics Cloud. Custom machine learning

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Sasi, Kiran Parasa. "Building a Slack Chatbot to send SuccessFactors Notifications to Employees Using Workato." Journal of Scientific and Engineering Research 11, no. 9 (2024): 152–54. https://doi.org/10.5281/zenodo.14169205.

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This paper outlines the development and deployment of a Slack chatbot designed to send SAP SuccessFactors notifications to employees using Workato as the integration platform. The solution addresses the need for seamless communication and efficient notification delivery within organizations, enhancing employee engagement and ensuring timely awareness of critical HR events. The chatbot leverages Workato's capabilities to integrate SAP SuccessFactors with Slack, providing a real-time, automated, and user-friendly notification system. The methodology, implementation, and potential impacts on orga

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Тиньков, С. А., and В. С. Канхва. "Problems and prospects of implementing integrated talent management systems on the example of SAP SuccessFactors." Экономика и предпринимательство, no. 3(116) (May 15, 2020): 1137–43. http://dx.doi.org/10.34925/eip.2020.116.3.243.

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В статье рассмотрено состояние, возможные проблемы и перспективы внедрения в управление персоналом компаний автоматизированных интегрированных систем управления талантами. Дана оценка динамики рынка программных продуктов в области управления персонала и в частности управления талантами. Проанализирован опыт нескольких российских компаний, внедривших систему SAP SuccessFactors. Дана оценка эффективности использования автоматизированных систем управления талантами. The article considers the state, possible problems and prospects of implementing automated integrated talent management systems in t

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Devarashetty, Pavan Kumar. "Implementing SAP SuccessFactors: A Technical Approach to Talent Management and HR Solutions." Journal of Artificial Intelligence & Cloud Computing 2, no. 1 (2023): 1–5. https://doi.org/10.47363/jaicc/2023(2)e221.

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This paper presents a comprehensive technical analysis of the implementation of SAP SuccessFactors as a solution for managing human resources (HR) and talent management processes within organizations.

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Pavan, Kumar Devarashetty. "The Evolution of Employee Experience through SAP SuccessFactors: Enabling Data-Driven HR Decisions with Advanced Analytics." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 12, no. 4 (2024): 1–10. https://doi.org/10.5281/zenodo.14631541.

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The digital revolution has transformed the way organizations manage their human capital, with employee experience emerging as a pivotal determinant of organizational success. However, traditional HR decision-making processes often fall short in leveraging actionable insights to enhance workforce engagement and productivity. This paper explores the role of SAP SuccessFactors in revolutionizing HR operations by integrating advanced analytics for real-time decision-making. It delves into the challenges associated with conventional HR systems, highlights the significance of data-driven approaches,

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Pillutla, Balakrishna Teja. "Driving HR Innovation with SAP SuccessFactors: A Framework for Scalable Employee Engagement." International Journal of Scientific Research and Management (IJSRM) 13, no. 04 (2025): 8746–65. https://doi.org/10.18535/ijsrm/v13i04.em09.

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In an era marked by rapid technological advancements and evolving workforce expectations, employee engagement has emerged as a pivotal factor in determining organizational success, productivity, and talent retention. Traditional human resource (HR) approaches—reliant on static annual reviews and generic feedback mechanisms—are increasingly inadequate in meeting the needs of a dynamic, digitally connected workforce. This paper explores how SAP SuccessFactors, a leading cloud-based Human Capital Management (HCM) platform, is reshaping the landscape of HR innovation by offering scalable and intel

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Manoj, Parasa. "Designing Equitable Compensation Models in SAP SuccessFactors: The Role of AI in Performance-Based Pay Structures." Journal of Scientific and Engineering Research 11, no. 3 (2025): 20–23. https://doi.org/10.5281/zenodo.15533178.

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<strong>The rise of artificial intelligence (AI) in human capital management is reshaping how organizations design, implement, and manage equitable compensation models. This study explores the integration of AI within SAP SuccessFactors to support performance-based pay structures that are transparent, data-driven, and aligned with organizational goals. Using a qualitative methodology, this paper investigates current practices, emerging AI tools, and the evolving role of machine learning in ensuring fairness, minimizing bias, and promoting pay equity. Key findings indicate that AI enhances deci

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Devaraju, Sudheer, Srikanth Katta, Harikanth Devulapalli, and Anil Donuru. "Adaptive Machine Learning Framework for Cross-Platform HR Data Integration in Enterprise Systems." Adaptive Machine Learning Framework for Cross-Platform HR Data Integration in Enterprise Systems 6, no. 2 (2021): 441–47. https://doi.org/10.5281/zenodo.14296287.

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<strong>Abstract</strong> This study proposes adaptive machine learning framework for seamlessly integrating HR data across multiple enterprise platforms (Workday, SAP SuccessFactors, Oracle HCM Cloud etc.) and deep learning models to automate data mapping, validation and anomaly detection to address the critical challenges of maintaining data consistency and accuracy in hybrid HRIS environments. Results show that the proposed framework improves the data quality and the processing efficiency for data collection. We illustrate a 45% reduction in data reconciliation efforts and 60% increase in e

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Parasa, Manoj. "Revolutionizing Performance Management in SAP SuccessFactors: Integrating AI for Goal Alignment and Continuous Feedback." International Research Journal of Innovations in Engineering and Technology 07, no. 11 (2023): 735–37. https://doi.org/10.47001/irjiet/2023.711097.

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This study explores the transformative potential of integrating Artificial Intelligence (AI) into SAP SuccessFactors Performance Management processes, with a focus on goal alignment and continuous feedback. By examining traditional challenges in performance evaluation—such as biased assessments, static goal setting, and delayed feedback—the paper presents an AIaugmented framework aimed at creating agile, real-time, and objective performance management. The methodology employs a mixed-methods approach combining expert interviews, system configuration analysis, and a case study on a global enter

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Researcher. "SAP BUSINESS INTEGRATION BUILDER (BIB): A TECHNICAL DEEP DIVE." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 736–46. https://doi.org/10.5281/zenodo.14040163.

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This article presents a comprehensive technical exploration of SAP Business Integration Builder (BIB), a specialized solution designed to address the complex challenges of integrating SAP SuccessFactors with on-premise SAP ERP or S/4HANA systems. The article delves into BIB's architecture, key technical features, implementation process, and advantages over general-purpose integration platforms like SAP Cloud Platform Integration (CPI). Through detailed analysis, the article demonstrates how BIB's focused design offers enhanced data handling for HR processes, streamlined integration architectur

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Pradeep, Kumar. "GC Tuning with THP and PreTouch for SAP SuccessFactors Learning." International Journal on Science and Technology 11, no. 3 (2020): 1–13. https://doi.org/10.5281/zenodo.14802735.

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This study explores the optimization of SAP SuccessFactors Learning through advanced JVM tuning techniques, focusing on the use of Transparent Huge Pages (THP) and the PreTouch JVM parameter. The primary objective was to address challenges related to garbage collection (GC), high CPU utilization, and extended pause times, which significantly impacted application performance. Transparent Huge Pages (THP) consolidate memory pages, reducing the overhead associated with frequent page swaps, while the PreTouch parameter preallocates physical memory, minimizing runtime initialization and compaction

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Pillutla, Balakrishna Teja. "Enhancing HR Operations with SAP SuccessFactors and AI-Driven Automation." International Journal of Computer Trends and Technology 73, no. 4 (2025): 63–71. https://doi.org/10.14445/22312803/ijctt-v73i4p109.

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Kiran Parasa, Sasi, and Srinivas Jadugala. "Enabling Joule in SAP SuccessFactors: A New Frontier in Employee Experience." International Journal of Science and Research (IJSR) 12, no. 12 (2023): 2150–52. http://dx.doi.org/10.21275/sr231210213930.

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Manoj, Parasa. "Bridging Skill Gaps with SAP's Talent Intelligence Hub: Real-Time Analysis and AI-Powered Learning Recommendations." European Journal of Advances in Engineering and Technology 10, no. 12 (2023): 112–15. https://doi.org/10.5281/zenodo.15533149.

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This paper investigates the potential of SAP’s Talent Intelligence Hub in identifying and bridging workforce skill gaps using AI-powered analytics and personalized learning recommendations. By integrating real-time employee data, competency frameworks, and machine learning algorithms, SAP’s Talent Intelligence Hub empowers HR leaders to dynamically assess current capabilities and align them with evolving business demands. The methodology involves a combination of system walkthroughs, expert interviews, and analysis of real-world use cases from organizations employing SAP SuccessFac

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Parasa, Manoj. "Creating Hyper-Personalized Learning Journeys Using AI in SAP SuccessFactors LMS for Individual Development and Business Alignment." International Research Journal of Innovations in Engineering and Technology 06, no. 07 (2022): 568–72. https://doi.org/10.47001/irjiet/2022.607127.

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This study investigates the application of artificial intelligence (AI) to design hyper-personalized learning journeys within SAP SuccessFactors Learning Management System (LMS), aiming to align individual development with enterprise goals. By integrating SAP BTP services and machine learning models, the proposed framework dynamically recommends content based on employee behavior, skill gaps, and performance trends. Using a mixed-methods approach combining system review, expert interviews, and simulation on synthetic workforce datasets, the research demonstrates how AI improves content relevan

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Turlakova, Svitlana, and Bohdan Bohdan. "Artificial intelligence tools for managing the behavior of economic agents at micro level." Neuro-Fuzzy Modeling Techniques in Economics, no. 12 (November 30, 2023): 3–39. http://dx.doi.org/10.33111/nfmte.2023.003.

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In modern business conditions, effective management of employee behavior is becoming a critical factor in ensuring competitive advantages and development of enterprises. AI tools, which are rapidly developing, provide new opportunities for managing the behavior of economic agents at the micro level and increasing the productivity of companies. To make the most effective use of AI in the outlined processes, there is a need to conduct research into the areas and possibilities of their application and impact on enterprise personnel. The methodology and mathematical model developed in the article,

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Kumar, Pradeep. "Optimizing AI/ML-Based Recommendation Systems for Enterprise Learning Platforms." Journal of Software Engineering and Simulation 9, no. 10 (2023): 22–33. https://doi.org/10.35629/3795-09102233.

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Enterprise learning platforms, such as SAP SuccessFactors Learning, rely on AI/ML-based recommendation systems to personalize learning pathways, enhance skill development, and improve learner engagement. However, as these platforms scale to support millions of users, challenges such as high computational overhead, frequent database access, latency in real-time recommendations, and authorization complexity become critical bottlenecks. Traditional recommendation models often suffer from batch processing inefficiencies, lack of realtime adaptation, and high infrastructure costs, making optimizati

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Parasa, Manoj, and Sasi Kiran Parasa. "Predicting Employee Turnover Using Machine Learning Models Trained on SAP SuccessFactors and SAP HCM Historical Data." International Research Journal of Innovations in Engineering and Technology 05, no. 12 (2021): 102–6. https://doi.org/10.47001/irjiet/2021.512020.

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Employee turnover is a persistent challenge for HR departments, especially within large organizations that utilize complex enterprise systems like SAP SuccessFactors and SAP HCM. This study presents a machine learning-based predictive framework to identify potential employee exits before they occur, leveraging historical HR data spanning performance, compensation, demographic, and behavioral metrics. By training and validating various machine learning models—including Random Forest, Gradient Boosting, and Neural Networks—on anonymized employee datasets extracted from SAP modules, we aim to unc

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Pradeep, Kumar. "Regex Pre-Compiling for Multitenancy CPU Optimization, Reducing Memory and Costs." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 7, no. 2 (2019): 1–11. https://doi.org/10.5281/zenodo.14615442.

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SAP SuccessFactors Learning (SF Learning) is a cornerstone of corporate learning environments, offering scalable, customizable solutions to meet the diverse needs of organizations. However, the increasing complexity of maintaining multi-tenant systems, especially with extensive customizations, has raised concerns regarding performance, scalability, and maintenance overhead. This paper explores the potential for optimizing SF Learning's architecture by focusing on the pre-compilation of regular expressions (regex), which plays a significant role in performance enhancement within multi-tenant en

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Pradeep, Kumar. "Optimizing Performance in SAP Success Factors Learning with Efficient Customization Updates and Caching Mechanisms." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 7, no. 1 (2019): 1–11. https://doi.org/10.5281/zenodo.14607728.

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SAP SuccessFactors Learning (SF Learning), a component of SAP’s Human Capital Management (HCM) suite, is vital in facilitating and managing corporate learning initiatives. The system's architecture, which is based on Java Virtual Machine (JVM) and Apache Tomcat, traditionally processes client requests by checking for any customer-specific customization updates in real-time. This approach involves substantial performance overhead as the system continually verifies each customization file’s last updated timestamp across potentially thousands of files per server, leading to high CPU u

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Pradeep, Kumar. "JVM Memory Footprint Optimization for Spring Beans in Multitenancy Environments." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 5, no. 2 (2019): 1–11. https://doi.org/10.5281/zenodo.14631933.

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Cloud-based multitenant applications, where a single instance serves multiple customers, face significant JVM memory management challenges. The Spring Framework, widely used for dependency injection, often creates redundant bean instances for each tenant, duplicating substantial amounts of immutable data. This inefficiency leads to excessive memory consumption, limiting scalability and increasing operational costs.This paper focuses on optimizing the JVM memory footprint for SAP SuccessFactors Learning (SF Learning), a multitenant application utilizing Apache Tomcat, JVM, and Spring Framework.

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Sasi, Kiran Parasa. "The Power of Talent Intelligent Hub in SAP Success Factors." Journal of Scientific and Engineering Research 9, no. 7 (2022): 158–61. https://doi.org/10.5281/zenodo.13622562.

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The evolving landscape of human resource management necessitates the integration of sophisticated technologies to streamline talent management processes. The Talent Intelligent Hub in SAP SuccessFactors exemplifies such innovation, providing comprehensive tools for enhancing talent acquisition, development, and retention. This paper explores the functionalities and advantages of the Talent Intelligent Hub, emphasizing its impact on workforce efficiency, employee engagement, and organizational success. Through a detailed examination of current literature and real-world applications, we analyze

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Manoj, Parasa. "Transforming Employee Onboarding in SAP SuccessFactors: The Role of AI-Driven Virtual Assistants in Enhancing Engagement and Efficiency." European Journal of Advances in Engineering and Technology 10, no. 10 (2023): 203–6. https://doi.org/10.5281/zenodo.15387369.

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The integration of Artificial Intelligence (AI) in Human Resource (HR) systems is revolutionizing traditional onboarding processes. This research explores how AI-driven virtual assistants embedded within SAP SuccessFactors Onboarding can enhance employee engagement, streamline administrative tasks, and elevate the overall onboarding experience. The study adopts a mixed-methods approach, combining case studies from global organizations with survey-based data collected from HR professionals and newly on boarded employees. Findings reveal that AI-powered assistants significantly reduce onboarding

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Vijayaratnam Sirangula. "Cloud Migration in Enterprise HR Systems: A Longitudinal Study of SAP HCM's Evolution and Organizational Impact." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 414–21. https://doi.org/10.32628/cseit25111255.

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The transition from on-premise human capital management systems to cloud-based solutions represents a significant shift in enterprise resource planning, particularly within SAP's ecosystem. This article examines the evolution of SAP HCM, analyzing its transformation from traditional on-premise deployments to cloud-based SuccessFactors solutions. Through a comprehensive article review of technological innovations, implementation strategies, and organizational impacts, this article explores the multifaceted implications of this digital transformation on HR processes, data management, and user ex

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Azarova, Anzhelika, Yuliia Mironova, Olena Yarmola, and Anatolii Poplavskyy. "JUSTIFICATION OF THE CHOICE OF THE OPTIMAL HRM SYSTEM USING MATHEMATICAL MODELING." Innovation and Sustainability, no. 1 (March 31, 2023): 246–57. http://dx.doi.org/10.31649/ins.2023.1.246.257.

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The article is devoted to developing an approach to justifying the optimal HRM system (system of human resources management) on economic entities using a linear model of weighted sums. The results of the study of the existing modern systems of human resources management, their criterion analysis, and the weight of evaluation criteria are the input data of such a mathematical model. The work explores the functionality and analyzes the most common human resources management systems, in particular, «Zoho People», «OrangeHRM», «CakeHR», «Workable», «BambooHR», «SAP SuccessFactors», «Workday HCM»,

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AZAROVA, Anzhelika, Yuliia MIRONOVA, Anatolii SHIYAN, and Olena YARMOLA. "ANALYSIS OF THE DISADVANTAGES AND ADVANTAGES OF THE MODERN HRM SYSTEMS FOR OPTIMIZING THE FUNCTIONING OF ENTERPRISES." Herald of Khmelnytskyi National University. Economic sciences 316, no. 2 (2023): 89–96. http://dx.doi.org/10.31891/2307-5740-2023-316-2-13.

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This article is devoted to the analysis of the advantages and disadvantages of modern HRM systems for optimizing the work of enterprises. Among the most common HRM information systems, such as built-in, cloud and mobile systems, «Zoho People», «OrangeHRM», «CakeHR», «Workable», «BambooHR», «SAP SuccessFactors», «Workday HCM», «DeloPro», «HugeProfit», «ISpro», «Scala HR», «Axapta HR Management», «IRenaissance Human Resources / Payroll», «Hurma System», “Vchasno» were researched. A detailed study of the disadvantages and advantages of the mentioned HRM systems helps to determine the optimal syst

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Kobets, Dmytro, Krystyna Kovalska, Nataliia Zozulia, Tamara Lozynska, and Mariia Zaslavska. "The Effectiveness of Data Analytics Tools in the Implementation of Human Resource Management Strategies." International Review of Management and Marketing 15, no. 2 (2025): 310–16. https://doi.org/10.32479/irmm.17925.

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The application of data analytics tools in the field of human resource (HR) management is becoming the most urgent issue in view of the growing need to optimize management processes. The aim of this research is to study the influence of analytical technologies on the improvement of decision- making processes in HR management. The research employs the methods of statistical analysis, comparative and survey methods with secondary data processing. The article outlines key data analytics tools: Tableau, Power BI and SAP SuccessFactors; their role in increasing productivity and reducing staff turno

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Bhati, Rakhi. "Optimizing Business Performance through Human Resource Analytics." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49806.

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Executive Summary This research explores the transformative potential of Human Resource (HR) analytics in driving organizational success. HR analytics has emerged as a critical tool that shifts decision-making from intuition-based practices to data-driven strategies. Through a comprehensive analysis, the study highlights the adoption of a three-stage maturity model—descriptive, predictive, and prescriptive analytics—demonstrating how organizations evolve in their use of HR data. Key components of the research include a detailed literature review showcasing insights from global thought leaders,

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Komarova, Galina Borisovna, and Dilfuza Murodzhonovna Djuraeva. "ASSESSMENT OF THE ENVIRONMENT OF AUTOMATION OF PERSONNEL MANAGEMENT PROCESSES OF TRADE PREPOSITIONS AND THE POSSIBILITY OF APPLICATION IN THE CONDITIONS OF THE REPUBLIC OF TAJIKISTAN." Scientific Review: Theory and Practice 13, no. 4 (2023): 599–608. http://dx.doi.org/10.35679/2226-0226-2023-13-4-599-608.

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Under the agreed conditions, the increasing competitions, the growth of companies, the spread of their staff, the spread of new forms of labor, in particular, the rearrangement of work, as well as the rediscovery of work requiring secondary training in the organization, does not excite innovations in subordination.personnel management. The use of a process automation environment can significantly improve and facilitate the work of the personnel squad, linking the productive functions of the company. In this case, there is a juicer for software tools to represent both small and large businesses

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Zerkal, Anastasiia, and Mariia Pavlenko. "DIGITALISATION OF HUMAN RESOURCE MANAGEMENT AS A FACTOR OF ENHANCING THE ECONOMIC RESILIENCE OF ENTERPRISES UNDER WARTIME CONDITIONS: ADAPTATION OF EUROPEAN PRACTICES." Three Seas Economic Journal 6, no. 2 (2025): 46–51. https://doi.org/10.30525/2661-5150/2025-2-8.

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The purpose of the paper is to explore the transformation of human resource management (HRM) practices in the context of digitalisation, with a specific focus on European enterprises and the potential adaptation of these practices in Ukraine under wartime conditions. The study examines how digital tools, ranging from AI-powered recruitment platforms to integrated HR systems, have changed the operational landscape of HR departments and contributed to organizational resilience. Methodology. The research is based on a comparative analysis of secondary data, case studies, and recent literature on

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Bleshmudt, Pavlo, and Olena Fil. "Practical skills of psychology bachelors in working with automated HR platforms." Scientific Bulletin of Mukachevo State University Series “Pedagogy and Psychology” 10, no. 4 (2024): 83–95. https://doi.org/10.52534/msu-pp4.2024.83.

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The aim was to identify recommendations for future specialists in the field of psychology on the use of modern human resources (HR) platforms. The functionality of modern online platforms used in HR management is analysed. The study of the experience of leading companies, a survey of students and teachers, and a comparative analysis of HR platforms in three countries, namely Ukraine, the USA, and Germany, were described. The main results of the study demonstrated that the introduction of automated HR platforms into the educational process contributes to a significant improvement in the practic

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Willyerd, Karie, and Barbara Mistick. "Prepare your talent for tomorrow." Strategic HR Review 15, no. 3 (2016): 112–17. http://dx.doi.org/10.1108/shr-01-2016-0001.

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Purpose According to the research conducted by the authors, the number one fear of employees around the world is that of becoming obsolete. The purpose of this article is to review five practices that employees can use to stay up to date and what organizations can do to support those practices. Design/methodology/approach The authors’ research mission was to discover how changes in the global economy and shifting demographics will impact the employment and talent marketplace. They collaborated with SAP SuccessFactors. Oxford Economics to conduct twin studies of 5,500 executives and employees a

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Atho’, Achmad Sirrul. "Learning Transformation Using Sap Successfactor Learning Management System In Pandemic Era." Cakrawala Repositori IMWI 6, no. 3 (2023): 551–59. http://dx.doi.org/10.52851/cakrawala.v6i3.368.

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The COVID-19 pandemic situation has changed everything, including the way of learning for employees. Prior to the pandemic, learning for employees was carried out conventionally face-to-face in class. However, after a pandemic occurs, learning cannot be done in the same way so that other ways need to be done to maintain the continuity of learning. One way is to use the SAP Successfactor (SF) platform which has a Learning Management System (LMS) module. PT Semen Indonesia (Persero) Tbk. (SIG) uses the SF-LMS that provides a space for employees to do online learning. SIG captures the business ne

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Parasa, Sasi Kiran. "Use of SAP Intelligent RPA in SAP SuccessFactors." SSRN Electronic Journal, 2025. https://doi.org/10.2139/ssrn.5079534.

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Parasa, Sasi Kiran, and Srinivas Jadugala. "Equity Grants Tracking and Reporting on Total Compensation in SAP SuccessFactors." Journal of Artificial Intelligence & Cloud Computing, March 31, 2023, 1–2. http://dx.doi.org/10.47363/jaicc/2023(2)e156.

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Equity grants are a crucial component of total compensation packages, particularly for executives and key employees in organizations. This paper explores how SAP SuccessFactors, a leading human capital management (HCM) solution, can be leveraged for tracking and reporting equity grants as part of total compensation. The paper discusses the system configuration required for managing equity grants within SuccessFactors, the integration of equity data into total compensation reports, and the benefits of real-time tracking and reporting for strategic decision-making. Additionally, the paper addres

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Parasa, Sasi Kiran. "Building a Bot to Generate Letters for Transactions in Success Factors using UiPath." Journal of Mathematical & Computer Applications, December 31, 2022, 1–3. http://dx.doi.org/10.47363/jmca/2022(1)e115.

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This paper outlines the design and implementation of a robotic process automation (RPA) bot using UiPath to generate letters for transactions in SAP SuccessFactors. The bot automates the creation of various HR-related documents, such as offer letters, promotion letters, and employment verification letters, directly from transaction data within SuccessFactors. The paper discusses the integration of UiPath with SuccessFactors, the methodology for automating the letter generation process, and the benefits of this automation in terms of efficiency, accuracy, and scalability. Challenges encountered

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-, Pradeep Kumar. "Optimizing Oracle to SAP HANA Migration for Performance and Scalability: A Case Study on SAP SuccessFactors Learning." International Journal For Multidisciplinary Research 3, no. 5 (2021). https://doi.org/10.36948/ijfmr.2021.v03i05.37537.

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This research paper explores the migration of the SAP SuccessFactors Learning application from Oracle DB to SAP HANA DB, focusing on the challenges, performance optimizations, and outcomes of this transition. SAP SuccessFactors Learning, originally designed on Oracle’s row-based RDBMS, embedded extensive business logic within PL/SQL procedures, functions, and triggers. The application’s architecture was tightly coupled with Oracle SQL syntax and transactional operations, making direct migration to SAP HANA, a columnar, in-memory database, complex and performance-intensive. Key migration challe

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Devaraju, Sudheer. "Adaptive Machine Learning Framework for Cross-Platform HR Data Integration in Enterprise Systems." February 2, 2021. https://doi.org/10.5281/zenodo.14292037.

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This study proposes adaptive machine learning framework for seamlessly integrating HR data across multiple enterprise platforms (Workday, SAP SuccessFactors, Oracle HCM Cloud etc.) and deep learning models to automate data mapping, validation and anomaly detection to address the critical challenges of maintaining data consistency and accuracy in hybrid HRIS environments. Results show that the proposed framework improves the data quality and the processing efficiency for data collection. We illustrate a 45% reduction in data reconciliation efforts and 60% increase in error detection accuracy th

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Pradeep, Kumar. "OPTIMIZING HTTP SESSION PERSISTENCE IN SAP SUCCESS FACTORS LEARNING: TRANSITIONING FROM HANA DB TO REDIS FOR ENHANCED PERFORMANCE AND SCALABILITY." International Journal of Core Engineering & Management 6, no. 06, 2019 (2019). https://doi.org/10.5281/zenodo.14748846.

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SAP SuccessFactors Learning, a core component of the HCM suite, faces significant challengeswith its current HTTP session persistence model, which relies on HANA DB. This approachgenerates approximately 2.4 million daily SQL queries, leading to high CPU and I/O overhead,increased latency, and scalability limitations. Furthermore, during node failures, sessioncontinuity can be disrupted, impacting user experience and requiring costly database operations torecover.To address these challenges, this paper proposes transitioning session persistence from HANA DBto Redis, an in-memory data store know

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-, Pradeep Kumar. "Enhancing SAP HANA SQL Query Framework for Faster Processing and Cost Efficiency in SAP SuccessFactors Learning." International Journal For Multidisciplinary Research 1, no. 2 (2019). https://doi.org/10.36948/ijfmr.2019.v01i02.35769.

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SAP SuccessFactors Learning, a legacy application built on Apache Tomcat and Java, was migrated from Oracle to SAP HANA, introducing significant challenges due to the differences in database execution engines. This paper proposes a dynamic SQL Converter framework that transforms Oracle-specific SQL queries into HANA-compatible queries at runtime, supported by a multi-level caching mechanism based on the Least Recently Used (LRU) policy. Performance tests with 10,000 concurrent users and 600 hits per second demonstrated a 15.6% reduction in CPU usage, a 12.5% decrease in JVM heap size, and a 12

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Parasa, Sasi Kiran. "Integrating Microsoft Teams with SAP SuccessFactors: Enhancing Workforce Collaboration and Efficiency." SSRN Electronic Journal, 2025. https://doi.org/10.2139/ssrn.5102744.

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Pillutla, Balakrishna Teja. "Advancing Human Resource Efficiency Through SAP SuccessFactors and Al-Enabled Cloud Workflow." International Journal of Innovative Research in Computer and Communication Engineering 13, no. 04 (2025). https://doi.org/10.15680/ijircce.2025.1304002.

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ABSTRACT: Quantitative HR management has transformed rapidly in recent years due to major technological advancements that combined SAP SuccessFactors and Artificial Intelligence (AI) technologies under cloud-based solutions. A research study analyzes the combined effect of these technologies on optimizing HR department performance throughout recruitment stages, onboarding procedures, and performance evaluation processes. A combination of research methods was used to gather data from surveys and interviews and detailed studies of organizations and HR professionals with applicable tools. HR metr

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Suwarno, Suwarno, and Nellsen Purwandi. "Scrum Integration in Cloud-based Human Capital Management (HCM) Project Development." Journal of Information System and Technology, July 26, 2024, 45–51. https://doi.org/10.37253/joint.v5i2.9577.

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This study examines the integration of the Agile Scrum framework as a project management approach in a software development context. The research objective was to evaluate the use of Agile Scrum for enhancing digital transformation initiatives. The findings indicate that the implemented system can be effectively utilized by the organization, aligning with its requirements. Additionally, the Agile Scrum methodology proved beneficial in increasing the adoption of SAP SuccessFactors within application consulting settings, emphasizing the need for flexible integration of project management practic

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Васильченко, Мар’яна, та Назарій Василинин. "СУЧАСНІ КАДРОВІ ТЕХНОЛОГІЇ ТА ІНСТРУМЕНТИ ДЛЯ РОЗРОБЛЕННЯ АВТОМАТИЗОВАНИХ ІНФОРМАЦІЙНИХ СИСТЕМ ОБЛІКУ ПЕРСОНАЛУ ПІДПРИЄМСТВА". Економіка та суспільство, № 64 (24 червня 2024). http://dx.doi.org/10.32782/2524-0072/2024-64-132.

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У статті розкрито теоретичні основи обліку персоналу на підприємстві та визначено особливості інформатизації та автоматизації в роботі кадрової служби підприємств. Проведено порівняльний аналіз сучасних технологій у сфері управління людськими ресурсами. Розглянуто особливості автоматизованої інформаційної системи обліку кадрів, основне призначення якої полягає у зниженні загальної трудомісткості циклу управління персоналом, зменшенні сумарних витрат на супровід та обслуговування системи, збереженні кадрового складу, підвищенні якості інформаційної підтримки і рівня захисту персональних даних.

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-, Pradeep Kumar. "User Experience Optimization in SAP SuccessFactors Learning: A Caching-Driven Approach to Perceived Performance." International Journal of Leading Research Publication 6, no. 6 (2025). https://doi.org/10.70528/ijlrp.v6.i6.1585.

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Enterprise learning applications like SAP SuccessFactors Learning demand not just functional correctness but exceptional user experience (UX), especially as learners expect fast, intuitive, and responsive interfaces. While backend performance has traditionally been the focus of optimization, this paper introduces a caching-driven approach to improve perceived performance from the user's perspective. The proposed strategy leverages a multi-layer caching architecture spanning CDN, web tier, application server, and database caching, integrated with lazy loading, fetch minimization, and behavior-a

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Novrianto, Andry, Deval Gustion, and Elmi Rahmawati. "AI-Powered Performance Appraisal: Balancing Automation with Human Judgment in Performance Management Systems." Journal of Economics and Management Scienties, June 29, 2025, 389–96. https://doi.org/10.37034/jems.v7i3.163.

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This study aims to explore how organizations integrate Artificial Intelligence (AI) and human judgment within employee performance appraisal systems to achieve outcomes that are fair, efficient, and contextually informed. Using a qualitative case study approach involving three organizations based in Jakarta, Surabaya, and Singapore, data were collected through semi-structured interviews, internal document analysis, and observations of performance review panels. Each organization utilized AI-driven human resource management platforms such as SAP SuccessFactors and IBM Watson Talent Insights, wh

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