Synergy Model and Benefit Analysis of Digital Intelligent Employees and Human Employees

Authors

  • Tingting Liu Tencent Cloud Computing (Beijing) Ltd.

DOI:

https://doi.org/10.5281/zenodo.13368399

ARK:

https://n2t.net/ark:/40704/JCTAM.v1n3a07

Keywords:

Artificial intelligence (AI), Human Resources (HR), Administrative Tasks, Organizational Network, Benefit Analysis

Abstract

Artificial intelligence (AI) is transforming human resources (HR) because of its capacity to enhance comfort levels, productivity, and health of employees. Workplace safety is improved by artificial intelligence (AI)-driven technologies that track health data, identify hazards at work, and provide personalized health advice. Ergonomics evaluations powered by AI reduce injuries, and chatbots offer immediate support. As AI expedites administrative tasks, enhances productivity evaluation, and ensures accurate payment processing, HR personnel may focus on strategic responsibilities. By identifying talent gaps, offering unbiased feedback instantly, and facilitating HR digitization, artificial intelligence (AI) improves decision-making. Organizational network analysis benefits from AI's ability to identify key players since it promotes collaboration and communication. Case studies from Tesla, Netflix, and Amazon demonstrate the impact of AI. Whereas Amazon leverages AI-human interaction to optimize efficiency and customer satisfaction, Tesla blurs the lines between work and life to highlight concerns with balance. Netflix's machine learning innovations illustrate the uncertainty in the labor market caused by automation.

Author Biography

Tingting Liu, Tencent Cloud Computing (Beijing) Ltd.

Tencent Cloud Computing (Beijing) Ltd., China.

References

Li, Y., Liu, Q., Cheng, S., Wang, J., & Li, H. (2023). Real-time performance tracking and improvement for employee engagement using artificial intelligence. J. Bus. Res, 149, 675-684.

Johansson, J., & Herranen, S. (2019). The application of artificial intelligence (AI) in human resource management: Current state of AI and its impact on the traditional recruitment process.

Dolan, E. G., Schuler, R. S., & Jackson, S. E. (2022). Artificial intelligence and human resource management: Advancing theory and research. J. Manag, 48(1), 59-85.

Lei, Z., & Wang, L. (2020). A social media-based approach for organizational network analysis. J. Bus. Res, 112, 1-12.

Sarkar, S., & Maiti, J. (2020). Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis. Safety science, 131, 104900.

Vinichenko, M. V., Makushkin, S. A., Rybakova, M. V., Сhulanova, O. L., Kuznetsova, I. V., & Lobacheva, A. S. (2019). Using natural and artificial intelligence in the talent management system. International Journal of Recent Technology and Engineering, 8(3), 7417-7423.

Chen, C. H. (2024). Influence of employees’ intention to adopt AI applications and big data analytical capability on operational performance in the high-tech firms. Journal of the Knowledge Economy, 15(1), 3946-3974.

Balancing Digital and human workforces. Newo. (2024, May 13). https://newo.ai/insights/digital-employees-vs-human-employees-striking-the-right-balance/#:~:text=The%20Rise%20of%20Digital%20Employees%20in%20Manufacturing&text=They%20improve%20how%20we%20understand,issues%2C%20helping%20prevent%20costly%20downtime.

(PDF) the impact of digital technologies on employee engagement: Case study of company “A” in Serbia. (n.d.). https://www.researchgate.net/publication/374290943_The_impact_of_digital_technologies_on_employee_engagement_Case_study_of_Company_A_in_Serbia

Singh, A., Mondal, S., Mehta, R., Kumar, S., Bhatnagar, H., Sharma, S., & Shukla, S. (2011). SYNERGY.

Usman, M. (2022). Synergy between Professional Human Resources and Artificial Intelligence: A review of the Consequences of Technological Innovation. International Journal of Innovation and Business Strategy (IJIBS), 16(1).

Tornjanski, V., Knežević, S., & Milojević, S. (2020). Synergetic effects of integrated collaboration between humans and smart systems in banking: An overview. In XVII International Symposium SYMORG.

Pai, R. Y., Shetty, A., Shetty, A. D., Bhandary, R., Shetty, J., Nayak, S., ... & D'souza, K. J. (2022). Integrating artificial intelligence for knowledge management systems–synergy among people and technology: a systematic review of the evidence. Economic research-Ekonomska istraživanja, 35(1), 7043-7065.

Coovert, M. D., & Thompson, L. F. (2013). Toward a synergistic relationship between psychology and technology. In The psychology of workplace technology (pp. 1-17). Routledge.

Coovert, M. D., & Thompson, L. F. (2013). Toward a synergistic relationship between psychology and technology. In The psychology of workplace technology (pp. 1-17). Routledge.

Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business horizons, 61(4), 577-586.

Rožman, M., Tominc, P., & Milfelner, B. (2023). Maximizing employee engagement through artificial intelligent organizational culture in the context of leadership and training of employees: Testing linear and non-linear relationships. Cogent Business & Management, 10(2), 2248732.

Zhang, M., Pu, H., Yu, T., & Qu, S. (2024). Digital transformation, management efficiency and excess employees− evidence from Chinese listed firms. Chinese Management Studies.

Eisanen, M. (2019). Robotic process automation and intelligent automation as a subject of purchasing in public sector: assessment on how synergy benefits could be reached.

Chen, L., Hsieh, J. P. A., & Rai, A. (2022). How does intelligent system knowledge empowerment yield payoffs? Uncovering the adaptation mechanisms and contingency role of work experience. Information Systems Research, 33(3), 1042-1071.

Treviño-Elizondo, B. L., García-Reyes, H., & Peimbert-García, R. E. (2023). A maturity model to become a Smart Organization based on lean and Industry 4.0 synergy. Sustainability, 15(17), 13151.

Jain, H., Padmanabhan, B., Pavlou, P. A., & Raghu, T. S. (2021). Editorial for the special section on humans, algorithms, and augmented intelligence: The future of work, organizations, and society. Information Systems Research, 32(3), 675-687.

Ebel, P., Söllner, M., Leimeister, J. M., Crowston, K., & de Vreede, G. J. (2021). Hybrid intelligence in business networks. Electronic Markets, 31, 313-318.

Chen, J. L. (2012). The synergistic effects of IT-enabled resources on organizational capabilities and firm performance. Information & Management, 49(3-4), 142-150.

Taib, K. M., Yatin, S. F. M., Ahmad, A. R., & Mansor, A. N. (2008). Knowledge management and competitive intelligence: A synergy for organizational competitiveness in the K-Economy. Communications of the IBIMA, 6(1), 25-34.

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Published

2024-09-01

How to Cite

Liu, T. (2024). Synergy Model and Benefit Analysis of Digital Intelligent Employees and Human Employees. Journal of Computer Technology and Applied Mathematics, 1(3), 48–54. https://doi.org/10.5281/zenodo.13368399

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