Title of article :
Employing Mark Knowledge Management Model to Improve Agile Team Productivity: An Extension of the Scrum Process
Author/Authors :
Amiri ، Nastaran Department of Computer Engineering - Faculty of Engineering - Farsan Branch, Islamic Azad University , Javdani Gandomani ، Taghi Department of Computer Science - Faculty of Computer Science - Shahrekord University
Abstract :
The current competitive arena has required Agile software companies to adopt the proper solutions in order to improve productivity like other companies, but focusing on the governing Agile principles and values has led to the dominance of tacit/implicit knowledge over explicit one in the development teams. Tacit knowledge is accompanied by uncertainty, which is among the most important factors affecting productivity. In such a situation, the adoption of a modern managerial approach is essential in order to stabilize the existing tacit knowledge. Therefore, the current research proposed a combined framework of knowledge management based on Scrum development cycle adaptation to Mark knowledge management as a model that has the potential to manage tacit knowledge. Employing the proposed framework in a case study revealed significant results in practice. The results indicated an increase in the total average of productivity by 3%, and a reduction in the number of change requests by 3, and a reduction in the number of rework tasks by 8 in the team understudy.
Keywords :
Knowledge Management , Mark Model , Scrum , Agile Software Development , Productivity , Explicit Knowledge , Tacit Knowledge
Journal title :
Majlesi Journal of Mechatronic Systems
Journal title :
Majlesi Journal of Mechatronic Systems