A new study published in Frontiers of Engineering Management presents a framework for improving the visualization of blockchain-based data management processes (DMP) in construction engineering and management (CEM). The study highlights the growing adoption of blockchain technology in CEM but notes that current visualization methods remain too simplistic to drive widespread adoption. To address this, the researchers develop a conceptual model, analyze 49 scholarly cases, and identify four key challenges: data diversity, visualization tools, visualization mediums, and domain-specific representation. Based on their findings, they offer a five-step guideline for optimizing blockchain visualization in construction projects, including targeting the right domain, planning the visualization approach, selecting appropriate tools and mediums, and refining the final solution. This research aims to inspire further development of visualization techniques to maximize blockchain's potential in CEM.

A new study published in Frontiers of Engineering Management presents a comprehensive evaluation system to assess innovation vitality in enterprises. The study utilizes exploratory factor analysis (EFA) to create a robust framework for evaluating the key dimensions of innovation—persistence, volatility, and growth. This system is designed to help enterprises, especially in the advanced materials manufacturing sector, enhance their innovation capabilities.