HR Technology Trends 2024: A Glimpse into the Future of Workforce Management
DOI:
https://doi.org/10.61536/escalate.v2i02.80Keywords:
HR Technology, Employee Engagement, Artificial Intelligence, HR Analytics, Remote WorkAbstract
This research article examines the key trends in HR technology projected for 2024 and their implications for workforce management. With a focus on the integration of artificial intelligence, HR analytics, remote work technologies, HR automation, and employee experience platforms, the study highlights how these innovations can enhance operational efficiency and employee engagement. Through qualitative methodologies, including in-depth interviews with HR professionals and case studies, the research identifies both the opportunities and challenges associated with adopting new technologies. Key challenges include employee resistance to change, budget constraints, and the necessity for comprehensive training programs. The findings suggest that effective change management strategies are essential for organizations to successfully implement HR technologies and leverage their full potential. Ultimately, organizations that embrace these trends are likely to improve their competitive positioning and foster a more engaged and productive workforce in an increasingly digital landscape.
Downloads
References
Ababneh, Omar Mohammed Ali. 2021. “How Do Green HRM Practices Affect Employees’ Green Behaviors? The Role of Employee Engagement and Personality Attributes.” Journal of Environmental Planning and Management 64(7): 1204–26. https://doi.org/10.1080/09640568.2020.1814708.
Albrecht, Simon L., Camille R. Green, and Andrew Marty. 2021. “Meaningful Work, Job Resources, and Employee Engagement.” Sustainability (Switzerland) 13(7).
Barreiro, Carmen Amador, and Luke Treglown. 2020. “What Makes an Engaged Employee? A Facet-Level Approach to Trait Emotional Intelligence as a Predictor of Employee Engagement.” Personality and Individual Differences 159(February): 109892. https://doi.org/10.1016/j.paid.2020.109892.
Belizón, María J., and Sarah Kieran. 2022. “Human Resources Analytics: A Legitimacy Process.” Human Resource Management Journal 32(3): 603–30.
Van Beurden, Jeske, Karina Van De Voorde, and Marc Van Veldhoven. 2021. “The Employee Perspective on HR Practices: A Systematic Literature Review, Integration and Outlook.” International Journal of Human Resource Management 32(2): 359–93.
Chen, Lijia, Pingping Chen, and Zhijian Lin. 2020. “Artificial Intelligence in Education: A Review.” IEEE Access 8: 75264–78.
Chen, Xieling et al. 2022. “Two Decades of Artificial Intelligence in Education: Contributors, Collaborations, Research Topics, Challenges, and Future Directions.” Educational Technology and Society 25(1): 28–47.
Delecraz, Sebastien et al. 2022. “Responsible Artificial Intelligence in Human Resources Technology: An Innovative Inclusive and Fair by Design Matching Algorithm for Job Recruitment Purposes.” Journal of Responsible Technology 11(July): 100041. https://doi.org/10.1016/j.jrt.2022.100041.
Falletta, Salvatore V., and Wendy L. Combs. 2021. “The HR Analytics Cycle: A Seven-Step Process for Building Evidence-Based and Ethical HR Analytics Capabilities.” Journal of Work-Applied Management 13(1): 51–68.
Fernandez, Vicenc, and Eva Gallardo-Gallardo. 2021. “Tackling the HR Digitalization Challenge: Key Factors and Barriers to HR Analytics Adoption.” Competitiveness Review 31(1): 162–87.
Heslina, H., and Andi Syahruni. 2021. “The Influence of Information Technology, Human Resources Competency and Employee Engagement on Performance of Employees.” Golden Ratio of Human Resource Management 1(1): 01–12.
Karwehl, Laura Johanna, and Simone Kauffeld. 2021. “Traditional and New Ways in Competence Management: Application of HR Analytics in Competence Management.” Gruppe. Interaktion. Organisation. Zeitschrift fur Angewandte Organisationspsychologie 52(1): 7–24.
Kaul, Vivek, Sarah Enslin, and Seth A. Gross. 2020. “History of Artificial Intelligence in Medicine.” Gastrointestinal Endoscopy 92(4): 807–12. https://doi.org/10.1016/j.gie.2020.06.040.
Kulshrestha, Dr. Shweta. 2024. “Quantitative Assessment on Investigation on the Impact of Artificial Intelligence on HR Practices and Organizational Efficiency for Industry 4.0.” Journal of Artificial Intelligence, Machine Learning and Neural Network (42): 14–21.
Latifat Omolara Ayanponle et al. 2024. “A Review of Innovative HR Strategies in Enhancing Workforce Efficiency in the US.” International Journal of Science and Research Archive 11(1): 817–27.
M. Maheswari, Suman, A. Karuppannan Pramod Kumar, Chikati Srinu, Aahana. 2024. “Role of IOT and Blockchain Technology in the Growth of Digital HRM Transformation as a Function of Management.” Journal of Informatics Education and Research 4(2): 396–404.
Majam, Tasneem, and Dawchund B Jarbandhan. 2022. “Africa’s Public Service Delivery and Performance Review.” Data driven human resource management in the Fourth Industrial Revolution (4IR): 1–12. http://www.apsdpr.org.
Malik, Ashish, Pawan Budhwar, Charmi Patel, and N. R. Srikanth. 2022. “May the Bots Be with You! Delivering HR Cost-Effectiveness and Individualised Employee Experiences in an MNE.” International Journal of Human Resource Management 33(6): 1148–78.
Margherita, Alessandro. 2022. “Human Resources Analytics: A Systematization of Research Topics and Directions for Future Research.” Human Resource Management Review 32(2).
Nienaber, Hester, and Nico Martins. 2020. “Exploratory Study: Determine Which Dimensions Enhance the Levels of Employee Engagement to Improve Organisational Effectiveness.” TQM Journal 32(3): 475–95.
Pan, Yuan et al. 2022. “The Adoption of Artificial Intelligence in Employee Recruitment: The Influence of Contextual Factors.” International Journal of Human Resource Management 33(6): 1125–47. https://doi.org/10.1080/09585192.2021.1879206.
Paul, Lee. 2022. “Of July Holiday: There Will Be No Classes Held and No Assignments Due on Monday, July 4, 2022.”
Reeves, A., P. Delfabbro, and D. Calic. 2021. “Encouraging Employee Engagement With Cybersecurity: How to Tackle Cyber Fatigue.” SAGE Open 11(1).
Riyanto, Setyo, Endri Endri, and Novita Herlisha. 2021. “Effect of Work Motivation and Job Satisfaction on Employee Performance: Mediating Role of Employee Engagement.” Problems and Perspectives in Management 19(3): 162–74.
Saks, Alan M. 2022. “Caring Human Resources Management and Employee Engagement.” Human Resource Management Review 32(3): 1–15.
Sedyastuti, Kristina, Emi Suwarni, Dedi Rianto Rahadi, and Maidiana Astuti Handayani. 2021. “Human Resources Competency at Micro, Small and Medium Enterprises in Palembang Songket Industry.” Proceedings of the 2nd Annual Conference on Social Science and Humanities (ANCOSH 2020) 542(Ancosh 2020): 248–51.
Seleção, Para et al. 2024. “Smart Skills Decision-Making Tool For Workforce 4 . 0 Technology Profile Selection.” : 87–114.
Shavazipour, Author et al. 2021. “This Is a Self-Archived Version of an Original Article . This Version May Differ from the Original in Pagination and Typographic Details . Approach Copyright : Rights : Rights Url : Please Cite the Original Version : Multi-Scenario Multi-Objective Robust .” Environmental Modelling and Software 144(2): 105134. https://doi.org/10.1016/j.envsoft.2021.105134.
Stieglitz, Stefan. 2024. “Communications Trend Radar 2024. Information Inflation, AI Literacy, Workforce Shift, Content Integrity & Decoding Humans.” Communication Insights.
Vahdat, Sahar. 2022. “The Role of IT-Based Technologies on the Management of Human Resources in the COVID-19 Era.” Kybernetes 51(6): 2065–88.
Vrontis, Demetris et al. 2022. “Artificial Intelligence, Robotics, Advanced Technologies and Human Resource Management: A Systematic Review.” International Journal of Human Resource Management 33(6): 1237–66. https://doi.org/10.1080/09585192.2020.1871398.
Wissemann, Ann Kathrin, Sabrina Winona Pit, Patrick Serafin, and Hansjürgen Gebhardt. 2022. “Strategic Guidance and Technological Solutions for Human Resources Management to Sustain an Aging Workforce: Review of International Standards, Research, and Use Cases.” JMIR Human Factors 9(3): 1–18.
Zhai, Xuesong et al. 2021. “A Review of Artificial Intelligence (AI) in Education from 2010 to 2020.” Complexity 2021.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Firman Syah Noor, Yongky Ade Prahasta
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
