IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v13y2021i1p17-d480480.html

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

Author

Listed:
  • Jiachen Sun

    (MIT Center for Collective Intelligence, MIT’s Sloan School of Management, Cambridge, MA 02142, USA
    School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510275, China)

  • Peter Gloor

    (MIT Center for Collective Intelligence, MIT’s Sloan School of Management, Cambridge, MA 02142, USA)

Abstract

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.

Suggested Citation

  • Jiachen Sun & Peter Gloor, 2021. "E-Mail Network Patterns and Body Language Predict Risk-Taking Attitude," Future Internet, MDPI, vol. 13(1), pages 1-13, January.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:1:p:17-:d:480480
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/13/1/17/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/13/1/17/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Manju K. Ahuja & Dennis F. Galletta & Kathleen M. Carley, 2003. "Individual Centrality and Performance in Virtual R& D Groups: An Empirical Study," Management Science, INFORMS, vol. 49(1), pages 21-38, January.
    2. Ashraf, Badar Nadeem & Zheng, Changjun & Arshad, Sidra, 2016. "Effects of national culture on bank risk-taking behavior," Research in International Business and Finance, Elsevier, vol. 37(C), pages 309-326.
    3. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    4. Sinan Aral & Erik Brynjolfsson & Marshall Van Alstyne, 2012. "Information, Technology, and Information Worker Productivity," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 849-867, September.
    5. Ann-Renée Blais & Elke U. Weber, 2006. "A Domain-Specific Risk-Taking (DOSPERT) scale for adult populations," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 1, pages 33-47, July.
    6. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    7. Patrick M. Kreiser & Louis D. Marino & Pat Dickson & K. Mark Weaver, 2010. "Cultural Influences on Entrepreneurial Orientation: The Impact of National Culture on Risk Taking and Proactiveness in SMEs," Entrepreneurship Theory and Practice, , vol. 34(5), pages 959-984, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. James Alm & Antoine Malézieux, 2021. "40 years of tax evasion games: a meta-analysis," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 699-750, September.
    2. Nguyen, Thi Tuyet Mai, 2017. "An examination of independent directors in Vietnam," OSF Preprints ay6dv, Center for Open Science.
    3. Enrique Claver-Cortés & Bartolomé Marco-Lajara & Pedro Seva-Larrosa & Lorena Ruiz-Fernández & Eduardo Sánchez-García, 2020. "Explanatory Factors of Entrepreneurship in Food and Beverage Clusters in Spain," Sustainability, MDPI, vol. 12(14), pages 1-22, July.
    4. Zamri Ahmad & Haslindar Ibrahim & Jasman Tuyon, 2017. "Institutional investor behavioral biases: syntheses of theory and evidence," Management Research Review, Emerald Group Publishing Limited, vol. 40(5), pages 578-603, May.
    5. Hasan, Iftekhar & Jackowicz, Krzysztof & Kowalewski, Oskar & Kozłowski, Łukasz, 2023. "Cultural values of parent bank board members and lending by foreign subsidiaries: The moderating role of personal traits," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    6. Tamás Csermely & Alexander Rabas, 2016. "How to reveal people’s preferences: Comparing time consistency and predictive power of multiple price list risk elicitation methods," Journal of Risk and Uncertainty, Springer, vol. 53(2), pages 107-136, December.
    7. Renato Frey & Shannon M. Duncan & Elke U. Weber, 2023. "Towards a typology of risk preference: Four risk profiles describe two-thirds of individuals in a large sample of the U.S. population," Journal of Risk and Uncertainty, Springer, vol. 66(1), pages 1-17, February.
    8. David Modic & Ross Anderson & Jussi Palomäki, 2018. "We will make you like our research: The development of a susceptibility-to-persuasion scale," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-21, March.
    9. Gary Charness & Thomas Garcia & Theo Offerman & Marie Claire Villeval, 2020. "Do measures of risk attitude in the laboratory predict behavior under risk in and outside of the laboratory?," Journal of Risk and Uncertainty, Springer, vol. 60(2), pages 99-123, April.
    10. Lucio Fuentelsaz & Consuelo González & Juan P. Maícas, 2021. "High-growth aspiration entrepreneurship and exit: the contingent role of market-supporting institutions," Small Business Economics, Springer, vol. 57(1), pages 473-492, June.
    11. Zamri Ahmad & Haslindar Ibrahim & Jasman Tuyon, 2018. "Governance of Behavioural Biases in Asset Management Industry: Insights from Fund Managers in Malaysia," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 14(2), pages 65-102.
    12. Xiufang Du & Jia Li & Xiulian Du, 2014. "Testing Risk-Taking Behavior in Chinese Undergraduate Students," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-8, May.
    13. Foley, Sean & Frijns, Bart & Garel, Alexandre & Roh, Tai-Yong, 2022. "Who buys Bitcoin? The cultural determinants of Bitcoin activity," International Review of Financial Analysis, Elsevier, vol. 84(C).
    14. Villacis, Alexis H. & Bloem, Jeffrey R. & Mishra, Ashok K., 2023. "Aspirations, risk preferences, and investments in agricultural technologies," Food Policy, Elsevier, vol. 120(C).
    15. Gino, Francesca & Margolis, Joshua D., 2011. "Bringing ethics into focus: How regulatory focus and risk preferences influence (Un)ethical behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 115(2), pages 145-156, July.
    16. Graham Loomes & Ganna Pogrebna, 2014. "Testing for independence while allowing for probabilistic choice," Journal of Risk and Uncertainty, Springer, vol. 49(3), pages 189-211, December.
    17. Jasna Auer Antoncic & Bostjan Antoncic & Matjaz Gantar & Robert D. Hisrich & Lawrence J. Marks & Alexandre A. Bachkirov & Zhaoyang Li & Pierre Polzin & Jose L. Borges & Antonio Coelho & Marja-Liisa Ka, 2018. "Risk-Taking Propensity and Entrepreneurship: The Role of Power Distance," Journal of Enterprising Culture (JEC), World Scientific Publishing Co. Pte. Ltd., vol. 26(01), pages 1-26, March.
    18. Goudarzi, Fatemeh (Sahar) & Olaru, Doina & Bergey, Paul, 2023. "Beyond risk attitude: Unpacking behavioral drivers of supply chain contracts," International Journal of Production Economics, Elsevier, vol. 255(C).
    19. Gerrit Antonides & Lies Hovestadt, 2021. "Product Attributes, Evaluability, and Consumer Satisfaction," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    20. Graham Loomes & Ganna Pogrebna, 2017. "Do Preference Reversals Disappear When We Allow for Probabilistic Choice?," Management Science, INFORMS, vol. 63(1), pages 166-184, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:13:y:2021:i:1:p:17-:d:480480. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.