20240020614. Human Entanglement - A New Organizational Metric to predict business performance based on social network analysis simplified abstract (Unknown Organization)
Human Entanglement - A New Organizational Metric to predict business performance based on social network analysis
Organization Name
Inventor(s)
Peter A. Gloor of Cambridge MA (US)
Human Entanglement - A New Organizational Metric to predict business performance based on social network analysis - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240020614 titled 'Human Entanglement - A New Organizational Metric to predict business performance based on social network analysis
Simplified Explanation
The present invention introduces a metric called "entanglement" to measure the level of synchronized communication between team members. This metric calculates the Euclidean distance among team members' social network metrics timeseries and has been validated through four case studies.
- The first case study predicts team performance and learning behavior by analyzing the entanglement of 11 medical innovation teams.
- The second case study predicts employee turnover by examining the lack of entanglement in the email communication of 113 senior executives.
- The third case study analyzes the individual employee performance of 81 managers.
- The fourth case study predicts the performance of 13 customer-dedicated teams by comparing the entanglement in their email interactions with customer satisfaction measured through NPS.
Potential applications of this technology:
- Predicting team performance and learning behavior in various industries.
- Predicting employee turnover based on communication patterns.
- Analyzing individual employee performance and identifying areas for improvement.
- Predicting customer satisfaction based on team communication dynamics.
Problems solved by this technology:
- Lack of a metric to measure synchronized communication between team members.
- Difficulty in predicting team performance, employee turnover, and customer satisfaction based on traditional metrics.
- Limited understanding of the temporal dimension of online social networks as a predictor of performance and satisfaction.
Benefits of this technology:
- Provides a versatile indicator to analyze team and employee performance.
- Helps identify communication patterns that can lead to improved performance and reduced turnover.
- Enables organizations to proactively address issues related to team dynamics and customer satisfaction.
- Offers a new perspective on the temporal dimension of online social networks and its impact on performance and satisfaction.
Original Abstract Submitted
the present invention provides a system and procedure to introduce “entanglement”, a novel metric to measure how synchronized communication between team members is. this measure calculates the euclidean distance among team members' social network metrics timeseries which is validated with four case studies. the first case study uses entanglement of 11 medical innovation teams to predict team performance and learning behavior. the second case looks at the e-mail communication of 113 senior executives, predicting employee turnover through lack of entanglement of an employee. the third case analyzes the individual employee performance of 81 managers. the fourth case study predicts performance of 13 customer-dedicated teams by comparing entanglement in the e-mail interactions with satisfaction of their customers measured through nps. entanglement is a new versatile indicator analyzing the hitherto underused temporal dimension of online social networks as a predictor of employee and team performance, employee turnover, and customer satisfaction.
