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Coping Responses in Phishing Detection: An Investigation of Antecedents and Consequences

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  • Jingguo Wang

    (Information Systems and Operations Management, College of Business, University of Texas at Arlington, Arlington, Texas 76019)

  • Yuan Li

    (Department of Management Information Systems, College of Business and Management, University of Illinois at Springfield, Springfield, Illinois 62703)

  • H. Raghav Rao

    (Department of Information Systems and Cyber Security, College of Business, University of Texas at San Antonio, San Antonio, Texas 78249; Department of Computer Science, University of Texas at San Antonio, San Antonio, Texas 78249)

Abstract

This study investigates users’ coping responses in the process of phishing email detection. Three common responses are identified based on the coping literature: task-focused coping, emotion-focused coping (i.e., worry and self-criticism), and avoidance coping. The three responses are used to conceptualize a higher-order construct, coping adaptiveness, that resides on a continuum between maladaptive coping and adaptive coping (manifested as increased task-focused coping and decreased emotion-focused coping and avoidance coping). Drawing on the extended parallel process model and behavioral decision-making literature, this paper examines the antecedents (i.e., perceived phishing threat, perceived detection efficacy, and phishing anxiety) and behavioral consequences (i.e., detection effort and detection accuracy) of coping adaptiveness. A survey experiment with 547 U.S. consumers was conducted. The results show that perceived detection efficacy increases coping adaptiveness. Partially mediated by phishing anxiety, perceived phishing threat decreases coping adaptiveness. Coping adaptiveness positively impacts the two objective measures in the study, detection effort and detection accuracy. The results also suggest that coping adaptiveness and detection effort have different effects on false positives compared to false negatives: detection effort fully mediates the effect of coping adaptiveness on false positive rate (or detection accuracy related to legitimate emails), but has no impact on false negatives (or detection accuracy related to phishing emails), unlike coping adaptiveness. A post hoc analysis on coping responses reveals two patterns of coping among subjects, throwing more light on coping in phishing detection. Theoretical and practical implications are discussed.

Suggested Citation

  • Jingguo Wang & Yuan Li & H. Raghav Rao, 2017. "Coping Responses in Phishing Detection: An Investigation of Antecedents and Consequences," Information Systems Research, INFORMS, vol. 28(2), pages 378-396, June.
  • Handle: RePEc:inm:orisre:v:28:y:2017:i:2:p:378-396
    DOI: 10.1287/isre.2016.0680
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    References listed on IDEAS

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    3. Yan Chen & Dennis F. Galletta & Paul Benjamin Lowry & Xin (Robert) Luo & Gregory D. Moody & Robert Willison, 2021. "Understanding Inconsistent Employee Compliance with Information Security Policies Through the Lens of the Extended Parallel Process Model," Information Systems Research, INFORMS, vol. 32(3), pages 1043-1065, September.
    4. Xiongfei Cao & Ali Nawaz Khan & Ahsan Ali & Naseer Abbas Khan, 2020. "Consequences of Cyberbullying and Social Overload while Using SNSs: A Study of Users’ Discontinuous Usage Behavior in SNSs," Information Systems Frontiers, Springer, vol. 22(6), pages 1343-1356, December.
    5. Ahmed Abbasi & David Dobolyi & Anthony Vance & Fatemeh Mariam Zahedi, 2021. "The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing Websites," Information Systems Research, INFORMS, vol. 32(2), pages 410-436, June.
    6. Liu, Yu-li & Yan, Wenjia & Hu, Bo, 2021. "Resistance to facial recognition payment in China: The influence of privacy-related factors," Telecommunications Policy, Elsevier, vol. 45(5).
    7. Xiongfei Cao & Ali Nawaz Khan & Ahsan Ali & Naseer Abbas Khan, 0. "Consequences of Cyberbullying and Social Overload while Using SNSs: A Study of Users’ Discontinuous Usage Behavior in SNSs," Information Systems Frontiers, Springer, vol. 0, pages 1-14.

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