A Decision Support System For Selecting Innovative Employee

Abstract

Technological innovations (artificial intelligence, IoT, robotics, etc.) have begun to change the way companies do business. Businesses will need to develop a change management plan in personnel qualifications, leadership structure, organizational climate, and many other aspects to keep up with these changes. Recruiting people who are open to innovation and to change, assigning employees with the appropriate innovativeness level to jobs that require being innovative, and encouraging employees to behave innovatively in the organization will be the most important parts of the plan. Therefore, both the individual innovativeness and innovative work behavior (IWB) of employees and leaders will become even more important for businesses in the near future. Based on this view, this study was carried out with the aim of developing a decision support system (DSS) that will support organizations in recruiting highly innovative employees and managing innovative behaviors of employees. To achieve this, DSS measures the individual innovativeness of job applicants and the IWB of corporate employees. Individual innovativeness and IWB are evaluated in the DSS by scoring based on statistical analysis methods. The DSS developed in this study helps the company to stay on an innovative line by increasing its innovation potential and to keep up with the destructive changes predicted that the future will require. This paper makes a contribution to linking the HRM literature and innovation literature.