Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Saranya, S.; Antony, Nittymol; George, Ginu; Sasikala, K.; Thomas, Mary Rani Title A name given to the resource Beyond Surveys: A Study on Metrics and Tools in Employee Engagement Analytics Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Studies in Systems, Decision and Control;Volume;613;pp.493-503 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-99470-8_51" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-99470-8_51</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105039320780?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039320780?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saranya S., Department of Professional Accounting and Finance, Kristu Jayanti College (Autonomous), Bengaluru, India; Antony N., Department of Professional Accounting and Finance, Kristu Jayanti College (Autonomous), Bengaluru, India; George G., Westford University College, Sharjah, United Arab Emirates; Sasikala K., Department of Commerce, Kongu Arts and Science College(Autonomous), Erode, India; Thomas M.R., Department of Commerce, CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource In the evolving landscape of employee engagement assessment, this current research explores the shift from conventional survey methods to a dynamic paradigm employing advanced metrics and tools. The study delves into the significance of employee engagement for organizational success and individual well-being, emphasizing the limitations inherent in traditional survey approaches. The current research uses a mixed-methods approach, including a literature review and case studies. The research unveils the transformative potential of advanced analytics, shedding light on recent trends where organizations integrate artificial intelligence, sentiment analysis, and continuous feedback mechanisms to gain a more nuanced understanding of workforce dynamics. The findings highlight the importance for organizations to move beyond static surveys, adapting strategies to the real-time, multifaceted nature of employee engagement for fostering a positive and thriving work environment. This study serves as a practical guide for HR professionals, organizational leaders, and researchers navigating the complexities of modern workplaces, offering insights that bridge theory and implementation in the realm of employee engagement analytics. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource Analytics; Employee engagement; Metrics; Tools Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21984182; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online