Titlebook: Digital Transformation of Collaboration; Proceedings of the 9 Aleksandra Przegalinska,Francesca Grippa,Peter A. Conference proceedings 202

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書目名稱Digital Transformation of Collaboration影響因子(影響力)




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書目名稱Digital Transformation of Collaboration網(wǎng)絡(luò)公開度學(xué)科排名




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Custodian

胰臟

2213-8684 wledge networks, distributed communities taking advantage of the wide connectivity and the support of communication technologies, spanning beyond the organizational perimeter of companies on a global scale. The book presents the refereed conference papers from the 7th International Conference on COI

發(fā)炎

Affable

Jannicke Baalsrud Hauge,Ioana Stefanbles such as heart rate and human interactions, based on a smartwatch combined with a mobile application developed by the MIT Center for Collective Intelligence. Preliminary analysis has shown that the interaction between the warehouse operators and the team leader significantly affects the productivity.

解脫

解脫

Sundus Fatima,Jannicke Baalsrud Hauge the Event Registry database, which contains both mainstream and blog news collected from around the world. These online news articles were transformed into networks of co-occurring words and analyzed by combining methods and tools from social network analysis and text mining.

albuminuria

Sundus Fatima,Jannicke Baalsrud Haugesed to create a machine learning model for each category. Using these, general patterns between emotions and religions are outlined and discussed. An analysis with further data was conducted on our model.

情愛

Lecture Notes in Computer Scienceyses to analyze students’ collaborations in robotics against knowledge creation organizations criteria and examine the extent to which student knowledge in math improved. The results show the emergence of the innovation networks in education settings and the importance of these networks for idea improvement.

策略

Heart Beats Brain: Measuring Moral Beliefs Through E-mail Analysisd with the moral foundations survey. In particular, the more positive and less emotional they were in their language, the more they cared about others. We verified the results with a larger e-mail dataset of 655 employees of a services firm, where structural and temporal honest signals explained 67% of emotionality.