Enhancing Employee Onboarding Through Digital Twin Technology

Digital twins and their transformative technology have simplified corporate processes while establishing secure and data-driven environments for customized expertise enhancement, workflow optimization, and scenario building. This chapter assesses the impact of digital twins on job design and human resource (HR) practices in developing new and more productive human-focused workplaces. Traditional or old-fashioned onboarding practices are not customizable or flexible and do not give real-time feedback, which creates negative workplace experiences and higher turnover levels. Digital transformation (DT) techniques suggest using digital twins for interactive, customized onboarding solutions to engage and retain employees better. Research indicates that digital twins have effects fundamentally altering HR practices by providing adaptive approaches in real time, cost-free scenario testing, and prediction analytics on employee retention. They help in monitoring workload, preventing burn-out, and customize approaches to enhance individual well-being. Most importantly, they predict career paths and determine training needs; hence, they are good at improving talent development. Successful implementation, however, is dependent on resolving challenges such as data privacy, model accuracy, system interoperability, and bias in artificial intelligence (AI). Applications of digital twin technology (DTT) in onboarding are numerous and important in real life concerning the retention, productivity, and attrition levels of employees. Real-time and predictive data can allow proactive improvement in onboarding and the happiness levels of workers as well as overall company performance results.