Thammasat University
Knowledge management in data center project lifecycle
Abstract. Data center[s] [are] comprised of at least 16 systems. Each system requires each knowledge area, most of explicit knowledge of data center is informed of best practices, standards, regulations, site references, and case studies, while implicit knowledge of data center is undocumented but it is informed of personal experience and certifications. Synergy both explicit and implicit knowledge needs tool such as technology enhanced learning (TEL) for integration all knowledge areas of data center project management (DCPM). This paper explores methods of postmortem interval and bounded rationality and 10 data center projects as case study used in qualitative research. This paper proposes data center project phases (DCPP) as a spiraling process flow of interactions between explicit and implicit knowledge since traditional project management (PM) and knowledge management (KM) models have failed to address the problems of knowledge employees and team during data center project lifecycle.
