Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
The transition to remote work, accelerated by the COVID-19 pandemic, has reshaped the professional landscape, offering both opportunities and challenges for companies. One significant issue is managers’ reliance on reported information from employees without direct observation or supervision, which might complicate monitoring decisions and impact project productivity. By integrating concepts from Byzantine Fault Tolerance (BFT) into remote work dynamics, we develop a model to examine the optimal level of monitoring intensity for managers under different levels of observability. Our work bridges a critical gap between computer science and organizational studies by extending the well-established concepts of BFT, traditionally used in distributed computing and blockchain technology, to the context of human teamwork and organizational behavior. This study offers new insights into monitoring and managing dispersed teams.
Recommended Citation
Lei, Zixi; Wen, Wen; and Whinston, Andrew, "Applying Byzantine Fault Tolerance Concept to Overcome Remote Work Challenges: Strategies for Effective Monitoring" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 3.
https://aisel.aisnet.org/hicss-58/da/emerging_markets/3
Applying Byzantine Fault Tolerance Concept to Overcome Remote Work Challenges: Strategies for Effective Monitoring
Hilton Waikoloa Village, Hawaii
The transition to remote work, accelerated by the COVID-19 pandemic, has reshaped the professional landscape, offering both opportunities and challenges for companies. One significant issue is managers’ reliance on reported information from employees without direct observation or supervision, which might complicate monitoring decisions and impact project productivity. By integrating concepts from Byzantine Fault Tolerance (BFT) into remote work dynamics, we develop a model to examine the optimal level of monitoring intensity for managers under different levels of observability. Our work bridges a critical gap between computer science and organizational studies by extending the well-established concepts of BFT, traditionally used in distributed computing and blockchain technology, to the context of human teamwork and organizational behavior. This study offers new insights into monitoring and managing dispersed teams.
https://aisel.aisnet.org/hicss-58/da/emerging_markets/3