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Artykuły w czasopismach na temat „Enhance Applicant Tracking System (ATS)”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Rasika, Patil. "Transitioning from Workday Recruiting to Eightfold ATS: Implementation Strategies and Best Practices." International Journal of Leading Research Publication 3, no. 11 (2022): 1–8. https://doi.org/10.5281/zenodo.14646753.

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Organizations face numerous challenges when transitioning from one Applicant Tracking System (ATS) to another, especially when moving to more advanced, AI-powered systems. This paper outlines the process of migrating from Workday Recruiting to Eightfold ATS, with a focus on implementation phases, strategies for a smooth transition, and best practices for leveraging Eightfold's capabilities to enhance the recruitment process. Additionally, lessons learned from migration are discussed. Eightfold’s AI-driven platform is designed to modernize recruitment through machine learning and deep ana

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Samruddhi, Farsole Sagar Darne Kunal Barahate Vaishnavi Bhute Rhutik Khode Minal Pazare Prof. R. V. Chaudhari. "Modern Real - Time Resume Analysis and Job Suggestion System Using NLP and Machine Learning Algorithm." International Journal of Advanced Innovative Technology in Engineering 10, no. 2 (2025): 134–37. https://doi.org/10.5281/zenodo.15422895.

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This paper is about in today's highly competitive job market job seekers face significant challenges in optimizing their resumes to pass Applicant Tracking Systems (ATS) and align with job requirements. Many resumes are rejected due to missing keywords, improper formatting, or a lack of ATS-friendly structures, making it difficult for qualified candidates to secure interviews. To address this issue, we present an AI-powered resume analysis system that enhances job matching efficiency by leveraging natural language processing (NLP) and machine learning. This system extracts key skills, qualific

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N, Sasikumar. "AI-Powered Opportunity Crafter: Unlocking Smart Career Possibilities." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 5032–37. https://doi.org/10.22214/ijraset.2025.68844.

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The job market is highly competitive, making it challenging for job seekers, including students, fresh graduates, and professionals, to secure employment. Traditional job search methods lack efficiency, personalization, and real-time feedback, often leaving candidates unprepared for Applicant Tracking Systems (ATS) and interviews. To address these challenges, we propose an AI-Powered Opportunity Crafter, an intelligent job assistant that leverages Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML) to enhance job seekers' success rates., The system consis

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Saurabh Yadav, Sushrut ursal, Aadesh Thade, Sonali Tate, and Prof. Minal Nerkar. "Resume Analysis Using NLP and ATS Algorithm." International Journal of Latest Technology in Engineering Management & Applied Science 14, no. 4 (2025): 761–67. https://doi.org/10.51583/ijltemas.2025.140400090.

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Abstract: In today’s competitive job market, efficient and accurate resume screening is crucial for recruiters and hiring managers. Traditional manual resume review processes are time-consuming and prone to human error, which can lead to overlooking qualified candidates. This project aims to develop an automated system for resume analysis using Python, Natural Language Processing (NLP), and Applicant Tracking System (ATS) algorithms. The proposed solution leverages NLP techniques to extract key information from resumes, such as personal details, educational background, work experience, and ski

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Bhavsar, Dr S. A. "Automated Resume Parsing using Name Entity Recognition." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–7. https://doi.org/10.55041/isjem03365.

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Abstract - The traditional hiring process often involves manually reviewing numerous resumes, making recruitment time-consuming and costly. To address this challenge, we propose an Automated Resume Parsing System using Named Entity Recognition (NER), an advanced Natural Language Processing (NLP) technique. Our system efficiently extracts key information, such as candidate names, skills, education, and work experience, from unstructured resume data, enabling structured representation and faster decision-making. By automating resume screening, our approach significantly reduces hiring costs and

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Sujit Das, Dr, Ananya S Nair, and Pattela Aneesh. "AI Resume Analyzer: Smart Resume Evaluation and Enhancement." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44548.

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This paper presents an AI-driven resume analyzer designed to streamline and enhance the job candidate assessment process. The system utilizes Natural Language Processing (NLP) techniques and machine learning algorithms to process and evaluate resumes efficiently. By extracting key information, calculating an ATS compatibility score, identifying grammar errors, and providing improvement suggestions, the analyzer aims to assist both job seekers and recruiters optimize the resume screening process. The platform also evaluates resumes against job-specific requirements and offers curated resources,

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Rajeswari, Dr PVN. "An Artificial Intelligence Powered Interview Preparation System using MERN Stack." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 7018–22. https://doi.org/10.22214/ijraset.2025.70056.

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The Artificial Intelligence Preparation System is designed to support job seekers by enhancing their aptitude, data structures, and algorithm (DSA) skills while also providing AI-powered resume optimization and mock interviews. In today’s competitive job market, candidates often face challenges in finding structured preparation resources, refining their resumes, and gaining realistic interview practice. This system tackles these issues using Machine Learning (ML) and Natural Language Processing (NLP) technologies. It features three main components: a Prebuilt Question Bank, an AI-Powered Resum

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Dr. J. JayaPriya, Mouleeswaran R, Kishore T, Praveen G, and Arjun N. "Smart AI Resume Analyzer." International Journal of Scientific Research in Science, Engineering and Technology 12, no. 3 (2025): 879–83. https://doi.org/10.32628/ijsrset2512147.

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In today’s technology-driven recruitment ecosystem, job seekers face increasing challenges due to the widespread use of Applicant Tracking Systems (ATS) by employers. These systems filter out resumes that do not meet specific formatting or keyword criteria, often discarding qualified candidates in the process. The Smart AI Resume Analyzer is an innovative solution developed to bridge this gap by providing an intelligent platform that evaluates and enhances resumes using Natural Language Processing (NLP) and machine learning. The platform performs real-time scoring of resumes based on keyword r

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Dubey, Ankit. "INTELLIPREP: AI Powered Interview Preparation and Resume Evaluator." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–7. https://doi.org/10.55041/isjem02939.

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In today’s highly competitive job market, students face significant challenges in resume preparation and interview readiness due to the lack of structured tools and personalized feedback. Traditional methods are often time- consuming, inefficient, and fail to meet modern hiring expectations. Recruiters also encounter difficulties in resume screening, evaluation consistency, and interview scheduling. To address these challenges, IntelliPrep offers an AI-powered solution that automates key aspects of the interview preparation process. The platform integrates resume parsing and evaluation, utiliz

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Pandey, Shweta, and Sumit Pandey. "Bridging the Gap in Recruitment Integration: A Comprehensive Approach to Syncing Workday and Greenhouse for Effective Position Management." International Journal of Business Quantitative Economics and Applied Management Research 7, no. 4 (2022): 12–22. https://doi.org/10.5281/zenodo.14176030.

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In the era of digital transformation, organizations increasingly adopt cloud technologies such as 'Software as a Service' (SaaS) to enhance agility, lower costs, scale effectively, and reduce administrative efforts. SaaS solutions often come with built-in integrations with other SaaS offerings, minimizing the need for custom integrations. However, these integrations do not always address the real-world scenarios faced by different organizations. Workday and Greenhouse are two leading SaaS solutions used for Human Capital Management (HCM) and Applicant Tracking System (ATS), respectively. Many

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Dhumal, Prof Jyoti. "Connect Edge: Employment Services Applications." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 756–68. https://doi.org/10.22214/ijraset.2025.72182.

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Abstract: Campus placements play a crucial role in bridging the gap between education and employment. Traditional placement systems often rely on manual processes, fragmented tools, and lack personalized interaction between stakeholders such as students, companies, and administrators. To address these limitations, we present Connect Edge—a comprehensive, full-stack web application designed to automate, streamline, and enhance the campus placement process using modern technologies and AI integration. Connect Edge features role-based dashboards for Admin, Student, and Company users, allowing sec

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Chavan, Prasad R., Yash Chandurkar, Ankita Tidake, Gaurav Lavankar, Suhani Gaikwad, and Rohit Chavan. "Enhancing recruitment efficiency: An advanced Applicant Tracking System (ATS)." Industrial Management Advances 2, no. 1 (2024): 6373. http://dx.doi.org/10.59429/ima.v2i1.6373.

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The Applicant Tracking System (ATS), also known as a talent management system or job applicant tracking system, is a software application designed to facilitate more efficient recruitment processes for companies or selection agencies. The objective of ATS is to streamline various aspects of the recruiting process, from receiving applications to hiring employees and effectively manage recruitment needs electronically. Methodologies such as NLP and KNN models are used for automated resume parsing and classifying the resume from unstructured format to structured format. The final results found si

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Marlita, Devi, Sri Handayani, Erni Pratiwi Perwitasari, Muhammad Ridwan Azis, and Yosua Hamonangan. "Socialization Applicant Tracking System (ATS) and ATS Curriculum Vitae for ITL Trisakti and General Students." Asian Journal of Community Services 3, no. 2 (2024): 287–94. http://dx.doi.org/10.55927/ajcs.v3i2.8080.

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The method used for the program is through socialization and knowledge sharing about the Applicant Tracking System (ATS) in the form of case examples and tips online because the implementation of the events was still in the PPKM period. The Implementation of the activity was centered at ITL Trisakti, East Jakarta and participants could take part online. The purpose of the socialization is to prepare basic knowledge for students and the general public about ATS and its derivative applications. As a result of these activities, participants understand more about ATS. And start updating their prof

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Омарова, Н. О., and А. А. Эчилова. "Research of problems of automation of personnel selection." Экономика и предпринимательство, no. 3(128) (May 13, 2021): 1079–81. http://dx.doi.org/10.34925/eip.2021.128.3.213.

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На сегодняшний день одним из актуальных направлений совершенствования рекрутинга является внедрение автоматизированной системы подбора (ATS), которая позволяет повысить качество подбора и одновременно снизить нагрузку на одного специалиста по подбору персонала, а так же рационально перераспределить объем работы между всеми специалистами отдела кадров. One of the topical directions of the improvement today is the introduction of an Applicant Tracking System (ATS), which will help improve the quality of selection and at the same time to reduce the load per recruiter, plus efficiently redistribut

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Nasrin, Tamanna, and Divya K. Murthy. "An Analysis on Leveraging Technology in Recruitment Enhancing Sourcing Efficiency and Effectiveness in Dabster Consultancy Private Limited in BTM Layout, Bangalore." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–9. https://doi.org/10.55041/ijsrem40221.

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In this study, the Bangalore-based recruiting agency Dabster Consultancy Private Limited examines how technology might improve the efficacy and sourcing efficiency of its hiring procedures. Utilizing technology tools like applicant tracking systems (ATS), artificial intelligence (AI) for screening candidates, social media platforms, candidate relationship management (CRM) systems, and video interviewing platforms has become essential for enhancing recruitment results in today's cutthroat talent market. To analyse the research used a T-Test and Correlation as a statistical tool. The study looks

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P, Guru, Sivakami T, Bhuvaneswari J, Panneerselvam K, Gopalakrishnan S, and Rajandran K.V. R. "Intelligent applicant tracking: leveraging machine learning for recruitment automation." Revista Gestão & Tecnologia 25, no. 2 (2025): 126–46. https://doi.org/10.20397/2177-6652/2025.v25i2.3175.

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Recruitment is a crucial, time consuming process in talent acquisition, which begins with the scouring of the talent pool in pursuit of the best candidates. In traditional applicant tracking systems (ATS), searching is usually based on keywords, which could result in any system that filters out applications using these keywords leading to a biased or an inefficient shortlisting. In this research, we explore the development of an intelligent applicant tracking system using ML to automate the recruitment process. In the proposed system, natural language processing (NLP) is used to analyze and ra

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Koshti, Harsh, Prathamesh Gosavi, Roshan Pagar, Prathamesh Khairnar, and Sopan Talekar. "AI-Powered Interview Preparation System: Integrating Resume Analysis, HR Simulation, and Technical Skill Assessment." Journal of Engineering Research and Reports 27, no. 5 (2025): 21–33. https://doi.org/10.9734/jerr/2025/v27i51489.

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This article presents an AI-powered interview preparation system designed to objectively collect and evaluate candidate responses. The solution automates key stages of the interview process, enhancing recruitment efficiency through real-time emotion detection using Convolutional Neural Networks (CNN), natural language processing (NLP) for resume analysis, and speech recognition for response evaluation. The system integrates with an Applicant Tracking System (ATS) for resume screening, an HR interview simulator focusing on communication and behavioural skills, and a technical assessment module

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Shivhare, Kratika. "ResumeCraft: A Machine Learning-powered Web Platform for Resume Building." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 1154–66. http://dx.doi.org/10.22214/ijraset.2024.61731.

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Abstract: The competitive job market necessitates well-crafted resumes that resonate with both human recruiters and Applicant Tracking Systems (ATS). This paper introduces ResumeCraft, a web-based platform empowering users to build strong resumes and optimize them for ATS compatibility. ResumeCraft leverages Machine Learning (ML) for data analysis and user guidance, while the user interface is built with Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), and JavaScript for a user-friendly experience. The system allows users to input their personal and professional details through

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Suningsih, Sri, Lidya Ayuni Putri, Ernie Hendrawaty, Agrianti Komalasari, Susi Sarumpaet, and Winia Waziana. "Pelatihan Pembuatan Curriculum Vitae dalam Bahasa Inggris yang Berbasis Application Tracking System." Jurnal Nusantara Mengabdi 3, no. 2 (2024): 85–93. http://dx.doi.org/10.35912/jnm.v3i2.2979.

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Purpose: One of the most important aspects of creating professional human resources in a company is the recruitment process, in which the company selects the right candidates with the skills and qualifications needed by the company. Applicants who come from college graduates must be able to adapt and be competitive to enter the world of work, and must know and understand how to format a CV that can meet company standards. In line with this, this community service activity aims to provide training in making CVs in English based on the Application Tracking System (ATS). Methodology/approach: The

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Deeptha, R., Dey Abirup, G. S. G. R. Gowtham, and Tripathi Abhishek. "Resume screening using NLP." i-manager's Journal on Information Technology 13, no. 3 (2024): 37. https://doi.org/10.26634/jit.13.3.21339.

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Resume screening is a critical step in the recruitment process, traditionally relying on manual review to assess candidates' qualifications. The advent of Natural Language Processing (NLP) has introduced advanced techniques to enhance this process by automating and optimizing resume evaluation. This paper explores the application of NLP in resume screening, focusing on methods such as keyword extraction, semantic analysis, and machine learning models. It discusses how NLP algorithms can identify relevant skills, experiences, and qualifications by analyzing the textual content of resumes. Furth

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K, ChethanKumar, and SHRUTHI MURTHY. "AN ANALYSIS OFTHE DIGITAL TOOLS IMPACT ON HR PROCESS WITH SPECIAL REFERENCE TO SARTORIUS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–9. https://doi.org/10.55041/ijsrem40184.

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This study examines the impact of digital tools on HR processes at Sartorius, a global leader in biopharmaceutical solutions, focusing on areas such as recruitment, onboarding, training, performance management, and employee retention. By leveraging quantitative surveys and qualitative interviews with HR professionals at Sartorius Nelamangala, the research highlights how tools like applicant tracking systems (ATS), human resource information systems (HRIS), and learning management systems (LMS) enhance operational efficiency, decision-making, and employee engagement. While digital tools streaml

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Mohan, Anergha K., Thomas John, and Nikhil P S. "Contextual Conversational Intelligence : Leveraging Language Models For College Chatbot By Retrieval Augmented Generation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem38284.

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By harnessing the capabilities of Large Language Models (LLM), the proposed system evolves into a sophisticated conversational agent, capable of understanding nuanced user inputs, providing context-aware responses, and delivering an unparalleled level of engagement. This chatbot is also equipped to assess a student's likelihood of being accepted into a specific program at the college using a machine learning (ML) model. The model analyzes the student's rank and eligible quota (such as reserved categories) in conjunction with historical admission data to gauge their chances of acceptance. It al

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Erna Wulandari, Anggun Indriyani, Dwi Wahyu Ningrum, Rhelvia Ambarwati, and Rauly Sijabat. "Systematic Literature Review (SLR) : Pengaruh Pengembangan Digital E-Recruitment Terhadap Seleksi Penerimaan Karyawan Baru." Jejak digital: Jurnal Ilmiah Multidisiplin 1, no. 3 (2025): 385–93. https://doi.org/10.63822/sbqffc05.

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Perkembangan teknologi digital telah merevolusi berbagai aspek bisnis, termasuk dalam proses rekrutmen karyawan. Digital e-recruitment menjadi solusi inovatif dalam manajemen sumber daya manusia dengan memanfaatkan platform digital untuk menarik, menyeleksi, dan merekrut kandidat secara efisien. Penelitian ini menggunakan metode Systematic Literature Review (SLR) dengan pendekatan PRISMA untuk menganalisis pengaruh digital e-recruitment terhadap proses seleksi penerimaan karyawan baru. Data diperoleh dari berbagai jurnal dan buku yang relevan dalam lima tahun terakhir. Hasil kajian menunjukkan

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M Dheo Fuady and Tundo. "Optimalisasi Teknoologi N8N dalam Pengembangan Aplikasi Penilaian CV ATS-COMPLIANT untuk Evaluasi Kelayakan Siswa SMK." Jurnal Tekno Kompak 19, no. 2 (2025): 142–54. https://doi.org/10.33365/jtk.v19i2.72.

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Perkembangan teknologi digital di Indonesia telah memberikan dampak signifikan dalam berbagai aspek kehidupan, termasuk sektor rekrutmen yang kini banyak mengadopsi sistem otomatis seperti Applicant Tracking System (ATS). Sayangnya, banyak siswa Sekolah Menengah Kejuruan (SMK) masih menghadapi kesulitan dalam menyusun curriculum vitae (CV) yang sesuai standar ATS, baik dari segi struktur maupun isi. Ketidaksiapan ini menandakan adanya kesenjangan pemahaman terkait format dan konten CV yang efektif menurut kebutuhan industri. Menanggapi permasalahan tersebut, penelitian ini bertujuan mengembang

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Navarro, Gloribeth. "Fair and Ethical Resume Screening: Enhancing ATS with JustScreen the ResumeScreeningApp." Journal of Information Technology, Cybersecurity, and Artificial Intelligence 2, no. 1 (2025): 1–7. https://doi.org/10.70715/jitcai.2024.v2.i1.001.

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Abstract— In today's fast-paced job market, the efficiency and fairness of the resume screening process are paramount. "JustScreen" emerges as a cutting-edge solution leveraging advanced Natural Language Processing (NLP) to automate resume evaluation, thus eliminating biases and promoting merit-based candidate selection. This thesis explores JustScreen's innovative approach to integrating NLP and machine learning algorithms to enhance the recruitment workflow, ensuring a more streamlined, unbiased, and efficient candidate assessment process. The methodology involves several key components: dat

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Onukwugha, Chinwe, Christopher Ofoegbu, Obinna Aliche, and Chidi Betrand. "Resume Optimization Model Using Machine Learning Techniques." International Journal of Intelligent Information Systems 13, no. 5 (2024): 109–16. http://dx.doi.org/10.11648/j.ijiis.20241305.12.

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In the contemporary job market, where competition is fierce and employers are inundated with an ever-growing pool of resumes, the need for effective resume optimization has become paramount. Resumes serve as the first point of contact between job seekers and potential employers, playing a pivotal role in shaping initial perceptions. However, the traditional approach to resume crafting often lacks a systematic and data-driven methodology. A well-crafted resume plays a crucial role in securing employment opportunities. However, crafting an effective resume that resonates with both human recruite

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S, Vinod Kumar, and Dr Janardhan G. Shetty. "A Comparative Analysis on Recruitment and Selection Process at Chennai Shoes and Industrial Supplies LLP, T Nagar Chennai." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–9. https://doi.org/10.55041/ijsrem40225.

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This study investigates the recruitment and selection practices at Chennai Shoes and Industrial Supplies LLP, located in T. Nagar, Chennai, with a focus on evaluating the effectiveness of their current strategies and identifying areas for improvement. The research combines both qualitative and quantitative methods to assess the organization's recruitment sources, selection techniques, and overall efficiency. A t-test is employed to compare the effectiveness of two key recruitment strategies: Traditional interviews and Online recruitment platforms. The objective is to determine whether there is

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TERENTIEVA, Nataliia, Denys PAVLOV, and Maksym TVERDOKHLIB. "INTEGRATION OF DIGITAL TOOLS AND ARTIFICIAL INTELLIGENCEINTO HR MANAGEMENT PROCESSES." Herald of Khmelnytskyi National University. Economic sciences 334, no. 5 (2024): 624–29. https://doi.org/10.31891/2307-5740-2024-334-94.

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Nowadays, companies are forced to quickly adapt to market changes and effectively use digital innovations to optimize operations and rationally use human resources. Given that human capital is the main asset of modern companies, they must apply the latest methods of personnel management to increase efficiency and adaptability in a changing business environment. DMS (document management system) acts as a single platform for storing, accessing and managing all company documents. DMS is easily integrated with HR systems, which simplifies the management of personnel processes and document flow in

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Kaur, Ramandeep. "Smart Job Portals: The Intersection of AI and Recruitment Efficiency." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48879.

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Abstract Job portals from the past decade encounter major performance limitations when they process large candidate applications alongside effective job opportunity assignment for suitable candidates. The paper describes how a Smart Job Portal employs Artificial Intelligence technology to enhance recruitment performance and decrease human errors during job acquisition. Users of this system gain advantage from automated resume screening services and AI-generated recommendation systems that display application progress updates and deliver analytical insights on an analysis dashboard through data

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IJBTSR. "Impacts de la Digitalisation sur la fonction RH : Proposition d'un Modèle Conceptuel de Recherche." International Journal of Business and Technology Studies and Research 5, no. 2 (2024): 10 pages. https://doi.org/10.5281/zenodo.10527979.

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<em>La digitalisation a profondément transformé la Fonction des Ressources Humaines (FRH), jouant un rôle central dans l'efficacité organisationnelle. Cette révolution redéfinit la manière dont les entreprises gèrent leurs fonctions, des ressources humaines,  et cela devient possible grâce à l'utilisation d'outils digitaux performants tels que, l'Intelligence Artificielle (IA), Applicant Tracking System (ATS), Robotic Process Automation (RPA), les Réseaux Sociaux (RS)... . La digitalisation de la FRH ne se limite p

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G. Venkateshwaran,. "Artificial Intelligence in HR: Transforming Recruitment and Selection in IT Industry." Journal of Information Systems Engineering and Management 10, no. 17s (2025): 38–45. https://doi.org/10.52783/jisem.v10i17s.2705.

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e integration of Artificial Intelligence (AI) in Human Resource Management (HRM) has revolutionized traditional recruitment and selection processes, particularly in the IT industry, where rapid technological advancements demand a skilled and dynamic workforce. AI-driven recruitment systems leverage machine learning, natural language processing (NLP), and predictive analytics to enhance efficiency, reduce hiring biases, and improve decision-making. This study explores the transformative role of AI in recruitment and selection within the IT sector, highlighting its benefits, challenges, and futu

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Kirti, Wadhawan, and Wadhawan Dimple. "The Relevance of Micro and Macro Credentials for the 21st Century Workforce - A Gateway for Securing Job." Partners Universal International Research Journal (PUIRJ) 03, no. 03 (2024): 85–99. https://doi.org/10.5281/zenodo.13827494.

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Gone were the heydays when grabbing a dream job is only a task of degree holders. Today the industry thrive on the skills of the candidate acquired from short-term learning instead of the traditional degrees they complete in years. The recruitment process is turning dynamic for each and every industry who are making a talent hunt for a kind of Human Resource, who hold versatility & requisite professionalism in the respective field of industry requirements. The requirements of industry is changing with a rapid pace, and to match the specific requirement educational institutions, vocational

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Theresia Atika Sari Br. Ginting, Rahima Br Purba, and Puja Rizqy Ramadhan. "Enhance Transparency Accounting Information As a Sipp Application And Case Financial Application In Presenting The Financial Statements of Case in The Environment of Religious Jurisdictions." Britain International of Humanities and Social Sciences (BIoHS) Journal 4, no. 2 (2022): 386–96. http://dx.doi.org/10.33258/biohs.v4i2.689.

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Today, along with the times, we are required to be able to adapt to the rapid development of information technology, where every activity or job is made easier by the emergence of various digital-based systems or applications that uphold the principles of effectiveness, and efficiency and modernity. So that now various agencies both from government, private sector, and others continue to innovate in the use of technology to facilitate work while still paying attention to the accuracy of results and ease of work supervision, this aims to improve the quality of employee performance and achieve t

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Gupta, Sakshi. "Application Tracking System." Gurukul International Multidisciplinary Research Journal, June 29, 2024. http://dx.doi.org/10.69758/gimrj2406i8v12p077.

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Abstract— Application Tracking System:- This research paper examines the user experience (UX) aspects of Applicant Tracking System (ATS) dashboards, focusing on enhancing their usability and effectiveness. Through a combination of qualitative interviews with HR professionals and quantitative analysis of user interaction data, the study identifies common challenges and opportunities for improvement within ATS dashboards. The findings suggest design recommendations to streamline navigation, optimize functionality, and enhance overall satisfaction for both HR practitioners and job applicants. By

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Pandey, Shweta. "Advanced Integration of ATS and HCM Systems: Leveraging SaaS-Driven Recruitment Analytics for Optimizing Strategies through Greenhouse BIC and Workday Prism." Journal of Engineering and Applied Sciences Technology, December 31, 2022, 1–5. http://dx.doi.org/10.47363/jeast/2022(4)e125.

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Recruitment analytics has become an indispensable tool for modern recruiters and talent acquisition managers, transforming traditional hiring processes through data-driven insights that enhance decision-making across the recruitment lifecycle, from candidate sourcing to final selection. In today’s competitive talent market, leading organizations often utilize separate Human Capital Management (HCM) systems and Applicant Tracking Systems (ATS) to manage the various stages of the recruitment process. However, these systems frequently lack advanced reporting capabilities, prompting the need for e

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Ribánszki, Nóra, and Éva Karcsics. "Mesterséges intelligencia alkalmazása a toborzási folyamatokban." Gradus 12, no. 1 (2025). https://doi.org/10.47833/2025.1.eco.006.

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A mesterséges intelligencia (MI) és az intelligens jelöltkezelő rendszerek (ATS - Applicant Tracking System) alapjaiban változtatják meg a munkaerő-biztosítási folyamatot. A technológia gyors fejlődése - különösen a gépi tanulás az algoritmusok és a természetes nyelvfeldolgozás terén-, gyorsabb, idő-és költséghatékonyabb HR folyamatokat eredményez, hosszú távon hozzájárulva a vállalatok versenyképességnek növeléséhez. Cikkünk első részében áttekintjük a mesterséges intelligencia (AI) és a gépi tanulás (ML) működésének főbb jellemzőit, majd az intelligens toborzási rendszerek (ATS) előnyeinek,

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Baa-ire, Bright Umnipuo. "Challenges and Best Practices in Recruiting Expatriates." International Journal of Innovations in Science Engineering And Management, July 10, 2025, 38–48. https://doi.org/10.69968/ijisem.2025v4i338-48.

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Amid the growing globalization of the workforce, organizations increasingly depend on expatriates to meet international business needs. As a result, recruitment agencies specializing in expatriate recruitment and placement have emerged to meet this demand. However, recruiting expatriates presents unique challenges including candidate duplicity, interview scheduling inefficiencies, inconsistent job descriptions, and limited agency control despite high accountability. Through a qualitative research approach involving 14 HR professionals and recruitment consultants, the study reveals key issues a

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Varikallu, Venkata Anitha, Raheeman Shaik, and P. Pardasaradhi. "Smart Application Tracking System:Utilizing Generative AI for Efficient Resume Matching." International Journal of Innovative Science and Research Technology, May 15, 2025, 3785–90. https://doi.org/10.38124/ijisrt/25apr2258.

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In the competitive landscape of recruitment, organizations face significant challenges in efficiently screening resumes to identify the most suitable candidates. Traditional resume screening methods are often labor-intensive and prone to human error, leading to biases and inefficiencies. This paper presents a Smart Application Tracking System (ATS) that leverages Generative Artificial Intelligence (Gen AI) and advanced Natural Language Processing (NLP) techniques to automate and enhance the resume screening process. The proposed system analyzes resumes in real-time, matching them against job d

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Hukkeri, Pooja, and Sanjivkumar Pol. "The Digital Shift In Hiring: A Critical Review of Traditional and Contemporary Recruitment Techniques." International Journal of Innovative Science and Research Technology, May 22, 2025, 747–54. https://doi.org/10.38124/ijisrt/25may671.

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The recruitment and selection landscape has undergone a significant transformation with the advent of digital technologies. This study critically reviews and compares traditional recruitment techniques—characterized by manual processes and subjective assessments with modern, technology-driven methods that leverage artificial intelligence (AI), applicant tracking systems (ATS), and predictive analytics. Through a systematic literature review guided by the CIMO (Context–Intervention Mechanism Outcome) framework and the PRISMA methodology, the research synthesizes findings from 70 peer-reviewed a

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B, Padma Vijetha Dev, Chaitanya Deepika A, Srivarshini G, Namitha Nemali, and Likhitha Vijjurothi. "Resume Analyser and Career Recommendation System using NLP." June 7, 2025. https://doi.org/10.5281/zenodo.15132544.

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<strong>Abstract</strong> Every Massive volumes of resumes may cause a challenge in the recruitment process since recruiters spend lots of time and effort manually assessing applicants. Besides, some applicants are not well advised on how to optimize their resumes for applicant tracking systems, nor do they get ideas about which careers would suit them. This project solves such challenges by automating and advancing traditional resume analysis methods with efficient and accurate candidate review and personalized career recommendations. This solution not only

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Nap, Henk Herman, Nathalie E. Stolwijk, Sima Ipakchian Askari, et al. "The evaluation of a decision support system integrating assistive technology for people with dementia at home." Frontiers in Dementia 3 (July 18, 2024). http://dx.doi.org/10.3389/frdem.2024.1400624.

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IntroductionWith a decreasing workforce of carers and a transition from care homes to home care, people with dementia (PwD) increasingly rely on informal caregivers (ICs) and assistive technologies (ATs). There is growing evidence that ATs in the home environment can reduce workload for formal carers (FCs) and ICs, reduce care costs, and can have a positive influence on quality of life (QoL) for PwD and their caregivers. In practice, using multiple ATs still often implies using different separate point solutions and applications. However, the integral, combined use of the data generated using

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-, Ritu Gulia, and Vivek Rastogi -. "The Impact of Information Technology On Data-Driven Decision Making In Human Resource Management." International Journal For Multidisciplinary Research 6, no. 6 (2024). http://dx.doi.org/10.36948/ijfmr.2024.v06i06.30314.

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In the contemporary landscape of human resource management (HRM), the integration of information technology (IT) has revolutionized data-driven decision-making processes. This shift is characterized by the increased reliance on data analytics, cloud computing, and advanced software applications that enable HR professionals to harness vast amounts of data effectively. As organizations strive for agility and competitiveness, the role of IT in HRM has become pivotal, influencing various aspects such as recruitment, performance management, employee engagement, and talent development. The first maj

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