Transformation and classification of time spent in collaborative activities for assessing organizational productivity and effectiveness

• Main Authors: SAYALA SUNIL, GRUS JOEL, FULLER RYAN, CRAIN TIM
• Format: Patent
• Language: Chinese; English
• Published: 01.03.2017
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The assessing of collaboration time includes the extraction of collaboration data from collaborators and storing the collaboration data as a dataset. Attributes for each of the collaborators is defined, and a group of collaborators is defined by filtering based on the attributes. For the dataset, collaboration time is assigned for each member of the group using the collaboration data. Data from certain activities by collaborators are mined as representative of the collaboration activities, and in combination with organizational structure data, time is allocated between people, teams, and companies for the purpose of assessing organizational productivity and effectiveness. No manual data gathering or imposition on collaborators to provided data is required. Real data for the collaborative activities are used, instead of self-reported data. This provides a more granular picture of how time is allocated to relationships and activities than could be gathered manually. 协作时间的评估包括：从协作者提取协作数据，并且将所述协作数据存储为数据集。定义所述协作者中