Relevant bibliographies by topics / Applicant tracking systems ATS

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  2. Dissertations / Theses
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  5. Conference papers

Academic literature on the topic 'Applicant tracking systems ATS'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Applicant tracking systems ATS"

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PORNPITAKPAN, Chanthika. "AI-Proof & SEO-Smart CVs: Tackling Socio-Legal Contexts in 2025." Global Empirical Marketing Studies 1, no. 1 (2025): e6.2025.05.02. https://doi.org/10.5281/zenodo.15320293.

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Citing This Article: APA Style: Pornpitakpan, C. (2025). AI-proof & SEO-smart CVs: Tackling socio-legal contexts in 2025. Global Empirical Marketing Studies, 1(1), Article e6.2025.05.02. https:p//doi.org/10.5281/zenodo.15320293 In the rapidly evolving job market of 2025, Artificial Intelligence (AI) and Search Engine Optimization (SEO) are transforming how candidates are discovered and evaluated, while socio-legal contexts add new challenges. Applicant Tracking Systems (ATS) parse CVs, search engines rank online portfolios, recruiters access applications across diverse devices, and legal r
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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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Bevara, Ravi Varma Kumar, Nishith Reddy Mannuru, Sai Pranathi Karedla, et al. "Resume2Vec: Transforming Applicant Tracking Systems with Intelligent Resume Embeddings for Precise Candidate Matching." Electronics 14, no. 4 (2025): 794. https://doi.org/10.3390/electronics14040794.

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Conventional Applicant Tracking Systems (ATSs) encounter considerable constraints in accurately aligning resumes with job descriptions (JD), especially in handling unstructured data and intricate qualifications. We provide Resume2Vec, an innovative method that utilizes transformer-based deep learning models, including encoders (BERT, RoBERTa, and DistilBERT) and decoders (GPT, Gemini, and Llama), to create embeddings for resumes and job descriptions, employing cosine similarity for evaluation. Our methodology integrates quantitative analysis via embedding-based evaluation with qualitative huma
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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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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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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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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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Ligi-Goryaev, V. V., G. A. Mankaeva, T. B. Goldvarg, S. S. Muchkaeva, and V. V. Dzhakhnaev. "Assessment of binary prediction of fraudulent advertisements in ATS candidate tracking cloud systems." Sovremennaya nauka i innovatsii, no. 1 (45) (2024): 32–41. http://dx.doi.org/10.37493/2307-910x.2024.1.3.

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The abstract describes the construction of a binary classification model for predicting the type of job advertisement in cloud-based ATS (Applicant Tracking Systems) as either legitimate or fraudulent. Various machine learning algorithms can be employed to address this issue. Traditional classification algorithms, including LSVC (Support Vector Machine), GBT (Gradient Boosting Tree), and RF (Random Forest), have been chosen for this study. One approach to building such a model involves identifying and collecting relevant attributes or features that can help distinguish fraudulent job advertise
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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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Booma, S., S. Jenithakarthiga, Cheran V., Dhanasekar Dhanasekar, and Dharshini S. "A Comparative Study on Traditional Hiring Practices and Technology- Enhanced Recruitment Strategies at Schneider Company." International Journal of Research and Scientific Innovation XII, no. VI (2025): 1209–12. https://doi.org/10.51244/ijrsi.2025.12060097.

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The recruitment landscape has evolved from traditional methods to technology-driven strategies. This research paper compares traditional hiring practices, like job postings and in-person interviews, with technology-enhanced approaches, such as applicant tracking systems (ATS), social media recruiting, and AI-powered tools. While traditional methods face limitations like time consumption and potential biases, technology offers streamlined processes and wider candidate engagement. By reviewing literature and case studies, the paper highlights the strengths and weaknesses of both approaches and e
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Dissertations / Theses on the topic "Applicant tracking systems ATS"

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Čevorová, Nina. "Problematika ROI v oblasti získávání a výběru zaměstnanců." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-77881.

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The paper brings answers on the the question whether it is possible to measure the field of recruitment. Via quantifying the administrative process of recrutment, the paper reflects the savings of time and costs by using e-recruitment application (applicant tracking system ATS) and it searchs for the relationship between quality of hire and increase of company value and its profit.
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Books on the topic "Applicant tracking systems ATS"

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O'Donnell, Neil. Résumé Essentials : Do's, Don'ts and It Depends: With Applicant Tracking Systems and LinkedIn Updates. Independently Published, 2017.

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Book chapters on the topic "Applicant tracking systems ATS"

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Zhang, Chenyang. "Enforcement." In Win in Chinese Courts. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3342-6_10.

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AbstractIn China, if the losing party does not take the initiative to satisfy an effective court judgment, arbitral award and other legal documents, the winning party may apply to the court for enforcement. Then the court may deduct the deposit and/or auction the property of the losing party and use the money/proceeds obtained therefrom to repay the winning party. However, this enforcement power is exclusively vested in the court, and the winning party cannot seize and/or dispose of the property of the losing party on its own. Due to the large number of enforcement cases, the difficulty in tra
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Pendse, Meenal K., Mihir Vaidya, and Mansi Kotak. "Present-Day Human Resource Management (HRM) Hiring Processes." In Prioritizing Skills Development for Student Employability. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3571-0.ch003.

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Human resource management (HRM) hiring practices have changed substantially to accommodate new technologies, company needs, and applicant expectations. Technology-enabled methods have superseded or simplified traditional ones. This includes applicant tracking systems (ATS) to manage applications via AI-driven resume screening to find qualified candidates and video interviews for remote evaluation. To attract more talent, employer branding, application experience, and diversity and inclusion are prioritized. Current HRM hiring practices prioritize speed, diversity, and digital compatibility. Or
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Collins, Samuel. "The Secret Lives of ePortfolios." In Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9644-9.ch012.

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This chapter looks at student ePortfolios as a potential resource for graduate careers through text network analysis. The chapter begins with a critical examination of the current state of applicant tracking systems (ATS) and the way they utilize ranking algorithms to reduce graduates to a bundle of fungible skills. As a complementary corrective to these systems, the essay suggests text network analysis of ePortfolios, arguing that this would be one way to hire graduates for the future by opening the possibility for latent networked skills and meanings to re-define jobs. Network applications a
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"Applicant Tracking Systems." In Encyclopedia of Electronic HRM. De Gruyter Oldenbourg, 2020. http://dx.doi.org/10.1515/9783110633702-033.

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Morris, Mark A. "Recruiting Technology." In Becoming a Talent Magnet. Oxford University PressNew York, 2024. https://doi.org/10.1093/oso/9780190938512.003.0005.

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Abstract This chapter addresses the core elements of technology used in talent acquisition, leveraging findings from a recent survey of senior talent acquisition leaders across the United States. A special-focus deep dive includes the core of most company’s talent acquisition technology, the applicant tracking system. Other topics discussed include social media tools, virtual interviews, artificial intelligence, and other types of technology tools used throughout the hiring lifecycle. Recommendations on when to use each type with different industries/candidates/human resources systems are offe
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Shoenfelt, Elizabeth L. "Getting a Job." In Mastering the Job Market. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190071172.003.0004.

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This chapter provides readers with critical insights into the nuts and bolts of conducting a job search. Specific actions that industrial-organizational master’s students can take to execute a successful job search are provided. Actions in graduate school that lay a foundation for a successful job search include developing an elevator speech, pursuing internships (paid or unpaid), participating in applied projects, and ensuring a professional social media image. Strategies for completing an application, using applicant tracking systems, writing résumés and cover letters, responding to phone sc
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Divya J, Ms, and Ms Kajal J.Mehta. "ENHANCING HUMAN RESOURCES MANAGEMENT THROUGH AI-DRIVEN TALENT ACQUISITION AND EMPLOYEE ENGAGEMENT." In Futuristic Trends in Network & Communication Technologies Volume 3 Book 3. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3binc3p9ch1.

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Integration of artificial intelligence (AI) technologies in the field of Human Resources (HR) to optimize talent acquisition and management processes is the way forward. The advancements in AI have presented HR professionals with new tools and opportunities to streamline recruitment, enhance candidate assessment, and improve employee engagement and retention. The various applications of AI in HR, include AI-powered applicant tracking systems, predictive analytics for talent sourcing, chatbots for candidate screening, AI-based employee performance evaluation and personalized learning and develo
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Monje Amor, Ariadna. "Reinventing Human Resources Through Digitalization." In Advances in Human Resources Management and Organizational Development. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6745-9.ch007.

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Human resource management (HRM) in organizations is rapidly being transformed by information technologies. The COVID-19 pandemic has intensified the pace of digitalization of HR processes, which has become particularly important in the context of the digital transformation of human resource activities. Those organizations that take advantage of digital HRM technologies are better positioned than those that pay less attention to them. Additionally, organizations have had to adapt to new work models such as hybrid or remote work. This chapter describes how digitization is reshaping human resourc
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Mapuranga, Raymond, Kebiat Mukuze, and Abigail Maravanyika. "Talent Management in the Digital Age." In Advances in Human Resources Management and Organizational Development. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2889-7.ch014.

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Using the integrative literature review as the research methodology, this chapter explores the role of technology in talent management within the public sector, specifically focusing on recruitment and retention strategies. The chapter highlights the unique challenges faced by public sector organizations in talent acquisition and retention, such as limited budgets, bureaucratic processes, and the perception of a less dynamic work environment. The chapter revealed that various technologies can be utilized to improve recruitment efforts in the public sector including the use of applicant trackin
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Bhargava, Dr Shikha, and Dr Shiva Johri. "TALENT ACQUISITION AND RETENTION: A CRITICAL REVIEW OF THE LATEST INNOVATIONS & CHALLENGES IN TALENT MANAGEMENT." In Futuristic Trends in Management Volume 3 Book 28. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bhma28p5ch2.

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In today's competitive business landscape, organizations recognize the paramount significance of talent acquisition and retention as key drivers of sustained success. This research review paper aims to provide a critical examination of the latest innovations and challenges in talent management, with a particular focus on talent acquisition and retention strategies. The review commences by exploring the latest innovations in talent acquisition. It examines how technology has transformed the recruitment landscape, with the advent of AI-driven applicant tracking systems, social media recruiting,
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Conference papers on the topic "Applicant tracking systems ATS"

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Leony, Rifma Dwi, Sisco Mataheru, Kevin Sanjay Sirait, and Teguh Prasandy. "Evaluation Analysis Of Applicant Tracking System (ATS) Implementation In Companies And Recruitment Agency." In 2024 Ninth International Conference on Informatics and Computing (ICIC). IEEE, 2024. https://doi.org/10.1109/icic64337.2024.10957063.

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AL-Qassem, Amer Hani, Kakul Agha, Mohit Vij, Hamzah Elrehail, and Ruchi Agarwal. "Leading Talent Management: Empirical investigation on Applicant Tracking System (ATS) on e-Recruitment Performance." In 2023 International Conference on Business Analytics for Technology and Security (ICBATS). IEEE, 2023. http://dx.doi.org/10.1109/icbats57792.2023.10111172.

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B, Jeevan, and Suguna A. "Resume Building Web Application." In International Conference on Recent Trends in Computing & Communication Technologies (ICRCCT’2K24). International Journal of Advanced Trends in Engineering and Management, 2024. http://dx.doi.org/10.59544/tmov9106/icrcct24p119.

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These days, landing a job is tough, and creating the perfect resume is often the biggest challenge for job seekers. A resume is usually the first thing employers look at when considering an applicant, and they use it to narrow down candidates before moving to interviews. This paper aims to present an easy and user friendly way to build resumes. We are introducing an app that helps users create resumes simply by providing their information. The resume builder app lets users log in or sign up using OTP verification and allow them to create, update, delete, view, and save their resumes in PDF for
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Jei, Arvind, Ushashish Chandra, and Anand Madasamy. "Natural Language Processing Based Screening for Applicant Tracking Systems." In International Conference on Recent Trends in Data Science and its Applications (ICRTDA 2023). River Publishers, 2023. http://dx.doi.org/10.13052/rp-9788770040723.113.

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Malarmannan, Arjun. "Enhancing Workforce Diversity: Integrating Inclusivity Parameters into Applicant Tracking Systems." In Global Symposium on Leadership and Project Management 2023. Global Symposium on Leadership and Project Management, 2023. http://dx.doi.org/10.52202/070182-0002.

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Kota, Srinath, and Mo Jamshidi. "ATS: Aerial Tracking and Surveillance System." In 2008 IEEE International Conference on System of Systems Engineering (SoSE). IEEE, 2008. http://dx.doi.org/10.1109/sysose.2008.4724193.

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Chy, John. "Application of Virtualization to Implement the Automatic Train Supervision System of a Communications Based Train Control System." In 2020 Joint Rail Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/jrc2020-8085.

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Abstract Capacity improvement and obsolescence management are the primary reasons for deploying Communications Based Train Control (CBTC) technology to replace conventional track circuit-based signaling systems like in New York City Transit (NYCT), Baltimore Maryland Transit Administration (MTA) or the San Francisco Bay Area Rapid Transit District (BART). Resignaling projects without stopping revenue operations are highly complex and are referred as brownfield train control projects. The Automatic Train Supervision (ATS) subsystem in a CBTC System is responsible for monitoring and regulating t
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Thiele, Frederik, Iñigo Fernandez Imaña, Xavier Manuel Juanpere, and Harald Pfifer. "Adaptive Control for Vibration Attenuation of a Laser Communication Terminal." In ESA 12th International Conference on Guidance Navigation and Control and 9th International Conference on Astrodynamics Tools and Techniques. ESA, 2023. http://dx.doi.org/10.5270/esa-gnc-icatt-2023-106.

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Laser Communication is the next generation of communication technology in the space industry, finding use in near earth as well as deep space application. They provide secure connections with significant higher data rates and less power consumption compared to conventional methods. Moreover, they address the ongoing problem of frequency saturation in radio communication technology. A challenge for optical systems is the high pointing requirement necessary to establish reliable communication links, which increase with higher data rates or distance. In this work a control method using estimation
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