Agile Project Methodology in Practice: Case Application in Doctoral Research

Abstract

Project implementation is a major challenge, creating opportunities to develop creative and adaptive frameworks and models. The new data collection methods, manage complexity and uncertainty in project implementation. The study focus is Agile methodology, specifically SCRUM applied to a doctoral research study. The problem was lack of suitable data collection methodology that can cause errors in the doctoral research process. The study objectives were to determine information needs, Agile methodology and apply Agile SCRUM for the study purpose of data collection. In an exploratory study, using desk research - journals and texts were reviewed, analyzed and documented. Secondary and primary data was collected and applied in an Agile SCRUM method. Main findings are in a study within the technology field, the review of concepts such as Management Information Systems (MIS) and Systems Development Life Cycle (SDLC) have longer term applications; Agile and SCRUM offer practical real time benefits in efficiency, productivity and project completion; application of Agile SCRUM was based on SDLC concepts, utilizing an adapted Gantt chart with SCRUM principles in reporting. The application resulted in 32.5% project completion rate, leaving 67.5% of project activities incomplete. However, Agile SCRUM offers a credible, fast and efficient method to implement the data collection stage. Implications are that other functions affecting projects must be noted, with interactions and outcomes indicated. This may reduce the likelihood of high redundancy of activities.