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Article analysis:

The article “Coordination and Knowledge Sharing in Construction Project-Based Organization: A Longitudinal Structural Equation Model Analysis” is a well-researched piece that provides an in-depth look at the relationship between coordination and knowledge sharing in construction project-based organizations (PBOs). The authors use social network analysis (SNA) with Enron e-mail dataset to identify the knowledge sharing network, as well as e-mail text mining to reveal members’ coordination behaviors. They then employ longitudinal structural equation modeling (SEM) to analyze the reciprocal relationship between coordination and knowledge sharing, which supports the sociology perspective of knowledge sharing.

The article is generally reliable, as it uses a variety of methods such as SNA, e-mail text mining, and SEM to analyze data from Enron Corporation's e-mail dataset. The authors also provide a detailed explanation of their methodology, which adds credibility to their findings. Additionally, they provide practical advice for managers on how to align members’ roles with abilities for effective knowledge sharing and coordination.

However, there are some potential biases that should be noted when considering this article's trustworthiness. First, since the data was collected from Enron Corporation's e-mail dataset, it may not be representative of other PBOs or organizations in general. Second, since only one organization was studied, it is difficult to draw generalizable conclusions about all PBOs or organizations in general from this study alone. Finally, since only one type of communication medium (e-mails) was studied here, it is possible that other forms of communication could have different effects on coordination and knowledge sharing within PBOs or other types of organizations.