Big data project management by agile approach: in the case of the Seoul Metropolitan City Owl Bus

Sung Hyun Kim, Chang Ik Song and Kyung Hoon Yang

International Journal of Services and Operations Management, 2021, vol. 39, issue 3, 316-336

Abstract: Big data has proven to be a good source in analysing complicated situations and designing complex systems. With big data analysis, solutions have become more accurate. However, due to a lack of experience with big data, projects that generally handle big data have a higher failure rate in terms of time, money and user satisfaction. Therefore, projects involving big data should differ from a typical project. Using the case of the Seoul Metropolitan City Owl Bus, the authors have setup project procedures and raised several issues developers would do well to consider when dealing with big data. When the Seoul City Government in South Korea planned the night bus lines and its schedules, it made use of big data to do so. We expect that this case analysis will guide the further usage of big data in the service sector project management.

Keywords: big data; data analysis; simulation; public policy; agile project management; scrum project management; extreme project management; DevOps project management; service management. (search for similar items in EconPapers)
Date: 2021
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