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Recruitment in the Age of Artificial Intelligence: HR Professionals' Perception of Smart Recruitment Tools and Their Innovative Readiness

dc.contributor.authorJohar, Raghav
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.departmentRowe School of Businessen_US
dc.contributor.ethics-approvalReceiveden_US
dc.contributor.external-examinerN/Aen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerPaola Gonzalezen_US
dc.contributor.thesis-readerKyung Leeen_US
dc.contributor.thesis-supervisorBo Yuen_US
dc.date.accessioned2024-09-03T14:08:59Z
dc.date.available2024-09-03T14:08:59Z
dc.date.defence2024-08-28
dc.date.issued2024-08-30
dc.descriptionThere has been an upward trend in AI-related technologies as computing power has increased dramatically, and developers have access to large amounts of data. There have been studies in the past which identified the key applications of HRIS in India. The Indian market has been undergoing significant transformations due to rapid technological advancements and evolving cultural and political dynamics. This shift has also been noteworthy with the rise of startup culture, which has introduced new challenges and pathways for HR departments.en_US
dc.description.abstractArtificial Intelligence (AI) is considered the next trend in the field of Information Systems (IS), with the advent of big and digitized data. This research delves into the same realm of AI with its application in the recruitment process focusing on the factors affecting the adoption of these tools. It also seeks to understand the role of personal innovativeness in influencing the tendency to adopt these tools. This Technology Acceptance Model (TAM) based research conducted a survey among Human Resources professionals actively involved in recruitment processes and used the partial least square and structural equation modeling (PLS-SEM) method to test the factors influencing the usage intention of smart recruitment tools. The factors analyzed were 1) Perceived Ease of Use (PEOU), 2) Trust Perception of the Tool (TP), 3) Compatibility (COMP), 4) Attitude (ATT), 5) Personal Innovativeness (PI), 6) Behavioural Intention to Use (BI), and 7) Perceived Usefulness (PU). This study augments TAM literature with a focus on AI-driven smart recruitment tools but also paves the way for future research. It underscores the intricate dynamics between trust, and effectiveness in technology, and user innovativeness.en_US
dc.identifier.urihttp://hdl.handle.net/10222/84550
dc.language.isoenen_US
dc.subjectHuman Resourceen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectRecruitmenten_US
dc.titleRecruitment in the Age of Artificial Intelligence: HR Professionals' Perception of Smart Recruitment Tools and Their Innovative Readinessen_US

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