Paper Type
ERF
Abstract
This study examines how employee characteristics including environmental awareness, environmental knowledge, and business intelligence and analytics (BI&A) skills influence green sustainability outcomes in U.S. manufacturing firms through business intelligence and analytics technologies. Using the Resource-Based View (RBV) theory, the research proposes that the use of BI&A mediates the relationship between employee capabilities and sustainability outcomes. By integrating employees' environmental characteristics, BI&A capabilities, and green sustainability outcomes, this study addresses a critical research gap, demonstrating how intangible human resources translate into measurable environmental benefits and sustained competitive advantage.
Paper Number
1512
Recommended Citation
Alghamdi, Ahmed; Olaore, Oluwatosin J.; and Alkhwaldi, Abeer F., "Employee Capabilities and Analytics for Green Manufacturing Sustainability" (2026). AMCIS 2026 Proceedings. 6.
https://aisel.aisnet.org/amcis2026/sig_green/sig_green/6
Employee Capabilities and Analytics for Green Manufacturing Sustainability
This study examines how employee characteristics including environmental awareness, environmental knowledge, and business intelligence and analytics (BI&A) skills influence green sustainability outcomes in U.S. manufacturing firms through business intelligence and analytics technologies. Using the Resource-Based View (RBV) theory, the research proposes that the use of BI&A mediates the relationship between employee capabilities and sustainability outcomes. By integrating employees' environmental characteristics, BI&A capabilities, and green sustainability outcomes, this study addresses a critical research gap, demonstrating how intangible human resources translate into measurable environmental benefits and sustained competitive advantage.
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