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Project delivery organizations (PDO) have to develop competitive advantage against new entrants. This study aims to explore the knowledge conversion transactions proposed by Nonaka and Takeuchi (1995) in project phases through the interplay of dynamic and operational capabilities. This study is based on a case study for a PDO in the engineering industry.

This study proposes a model of dynamics between the constructs, and its illustration with a case study of a PDO. The research extends the socialization, externalization, combination and internalization (SECI) model of knowledge management (KM).

This study provides an overview of existing research related to the constructs like applicability of operational and dynamic capabilities, knowledge configuration and knowledge management processes to individual projects delivered by a PDO for its clients. Further, this study provides an overview of the knowledge configuration adopted by an organization and how it helps to build the competitive advantage of an organization.

This study proposes a model for applying the constructs to each of the phases of a project. It then illustrates the knowledge value chain in a PDO in the field of engineering projects with detailed insights into the steps of sensing, seizing and sharing knowledge across the project life cycle.

Project-based firms can use the learnings and create their own SECI model linking the conceptual model of KM and PDO and KM value chain.

In social projects implementation, this conceptual model and process will be helpful in building efficiency and effectiveness.

This case study presents the knowledge value chain in a PDO in the field of engineering projects with detailed insights into the steps of sensing, seizing and sharing knowledge across the project life cycle.

The paper aims to capture the rack-level thermal dynamics in data center. It proposes the rack-level response experiments as well as transient Computational Fluid Dynamics (CFD) analysis to characterize the local thermal environment of the system.

A single sever simulator rack and its two neighboring racks with its cold and hot aisle containment have been modeled with known cold air supply temperature and flow rate for transient CFD analysis. The heat load was kept constant initially and varied case-to-case basis, which includes capturing the rack-level response with respect to changes in input. However, the response experiments on simulator rack were performed for 14 h by variation of server heat loads as step and ramp input.

The paper provides the detailed transient CFD analysis of data center racks. The local cold air flow rates and temperature at the vicinity of the racks showed significant effect due to changes in input. It was concluded that the rack-level dynamics impacts the thermal environment of data center and hence cannot be ignored.

The high computing devices and faster internet demands have led to major thermal management concerns for data center operators. To tackle this issue, capturing the system thermal dynamics is imperative. However, the system-level CFD analysis is computationally expensive. Therefore, this paper deals with the rack-level transient CFD study using commercial tool STAR CCM+.

This paper includes the modeling of the servers as a porous media as well as the multigrid method to enhance the computational speed. The successful implementation of this approach validated through experiments. This would help to establish a base for research in any type of data center.

This paper provides the porous media approach to model servers and multigrid method to enhance the computational speed. At the same time, the thought of characterizing the local dynamics at the vicinity of data center racks is unique.