A Disruptive Decision Support Platform for Reengineering the Strategic Transfer of Employees

The development of artificial intelligence and the digital transformation it has brought with it has encouraged the challenge of harnessing the potential to transform the human resources (HR) processes, systems and organisations through new digital platforms, applications and ways of delivering HR services. In view of this challenge, we present a method, implemented into a decision support (DS) platform, for employee transfer developed to solve three constraints. Firstly, selecting the most suitable employees for transfer to an organizational unit (OU), that is without the employment of new candidates. Secondly, enabling an exchange of employees between OUs, constrained with the employees' skills and OUs requirements. Thirdly, avoiding overlapping of employees in OUs for a previously defined timeframe. Finally, the travelling time and distance have to be within the given limits. We demonstrate that the proposed platform is designed to process all available information and human-defined rules to (i) support the HR managers in planning and organising their strategic activities in a timely manner, (ii) speed up the candidate selection process within the organisation for more than 82%, (iii) provide several best alternatives for staff deployment from the employees, (iv) reduce operational costs for more than 87%, and (v) reduce the administrative burden of HR management (HRM).