E-Mail Network Patterns and Body Language Predict Risk-Taking Attitude

As the Enron scandal and Bernie Madoff’s pyramid scheme have shown, individuals’ attitude towards ethical risks can have a huge impact on society at large. In this paper, we compare risk-taking attitudes assessed with the Domain-Specific Risk-Taking (DOSPERT) survey with individu...

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Main Authors: Sun, Jiachen, Gloor, Peter
Other Authors: Massachusetts Institute of Technology. Center for Collective Intelligence
Format: Article
Published: Multidisciplinary Digital Publishing Institute 2021
Online Access:https://hdl.handle.net/1721.1/131333
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author Sun, Jiachen
Gloor, Peter
author2 Massachusetts Institute of Technology. Center for Collective Intelligence
author_facet Massachusetts Institute of Technology. Center for Collective Intelligence
Sun, Jiachen
Gloor, Peter
author_sort Sun, Jiachen
collection MIT
description As the Enron scandal and Bernie Madoff’s pyramid scheme have shown, individuals’ attitude towards ethical risks can have a huge impact on society at large. In this paper, we compare risk-taking attitudes assessed with the Domain-Specific Risk-Taking (DOSPERT) survey with individual e-mail networking patterns and body language measured with smartwatches. We find that e-mail communication signals such as network structure and dynamics, and content features as well as real-world behavioral signals measured through a smartwatch such as heart rate, acceleration, and mood state demonstrate a strong correlation with the individuals’ risk-preference in the different domains of the DOSPERT survey. For instance, we found that people with higher degree centrality in the e-mail network show higher likelihood to take social risks, while using language expressing a “you live only once” attitude indicates lower willingness to take risks in some domains. Our results show that analyzing the human interaction in organizational networks provides valuable information for decision makers and managers to support an increase in ethical behavior of the organization’s members.
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spelling mit-1721.1/1313332023-03-15T19:37:54Z E-Mail Network Patterns and Body Language Predict Risk-Taking Attitude Sun, Jiachen Gloor, Peter Massachusetts Institute of Technology. Center for Collective Intelligence Sloan School of Management As the Enron scandal and Bernie Madoff’s pyramid scheme have shown, individuals’ attitude towards ethical risks can have a huge impact on society at large. In this paper, we compare risk-taking attitudes assessed with the Domain-Specific Risk-Taking (DOSPERT) survey with individual e-mail networking patterns and body language measured with smartwatches. We find that e-mail communication signals such as network structure and dynamics, and content features as well as real-world behavioral signals measured through a smartwatch such as heart rate, acceleration, and mood state demonstrate a strong correlation with the individuals’ risk-preference in the different domains of the DOSPERT survey. For instance, we found that people with higher degree centrality in the e-mail network show higher likelihood to take social risks, while using language expressing a “you live only once” attitude indicates lower willingness to take risks in some domains. Our results show that analyzing the human interaction in organizational networks provides valuable information for decision makers and managers to support an increase in ethical behavior of the organization’s members. 2021-09-20T14:16:15Z 2021-09-20T14:16:15Z 2021-01-14 2021-01-22T15:55:30Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/131333 Future Internet 13 (1): 17 (2021) PUBLISHER_CC http://dx.doi.org/10.3390/fi13010017 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute
spellingShingle Sun, Jiachen
Gloor, Peter
E-Mail Network Patterns and Body Language Predict Risk-Taking Attitude
title E-Mail Network Patterns and Body Language Predict Risk-Taking Attitude
title_full E-Mail Network Patterns and Body Language Predict Risk-Taking Attitude
title_fullStr E-Mail Network Patterns and Body Language Predict Risk-Taking Attitude
title_full_unstemmed E-Mail Network Patterns and Body Language Predict Risk-Taking Attitude
title_short E-Mail Network Patterns and Body Language Predict Risk-Taking Attitude
title_sort e mail network patterns and body language predict risk taking attitude
url https://hdl.handle.net/1721.1/131333
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