Conceptual model of quality improvement gamification framework

Many organizations adopt a continuous quality improvement approach to achieve their vision and mission. For example, an HR evaluation system identifies the attainment of a particular academic position or qualification as a task that an employee must complete within a certain period. If the mission is completed, employees can move on to the next mission or upgrade to a higher level; if not, then they must complete the task he did to achieve the quality that remained or even lower in the past with the aim that he can achieve the goal according to the potential of the quality he has. The stages of a literature review using the PRISMA method consist of 4 stages: identification, screening, eligibility, and inclusion. The purpose of this study is to suggest the development of a new gamification framework for quality improvement because no gamification framework can answer this need explicitly; in this case, gamification of a continuous quality improvement mechanism on mechanics, work ethic, ethics, and motivational aspects to achieve its achievements (namely mission), while the mission remains within the corridor of the organization’s vision or strategic plan. The recommendation system offers alternative steps players can take to achieve predicted milestones based on potential performance and current quality. The proposed recommendation system uses the Naïve Bayes Classifier algorithm based on behavior analysis, part of business intelligence. This system is built on the track records of other players who have completed mission M at level L or leveled up from L1 to L2.