The Privacy Calculus under Positive and Negative Mood States

Tawfiq Alashoor; Nader Al-Maidani; Ibrahim Al-Jabri

The Privacy Calculus under Positive and Negative Mood States

Tawfiq Alashoor, Nader Al-Maidani, Ibrahim Al-Jabri

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The privacy calculus has gained wide acceptance in the privacy literature. It is a parsimonious economic model that explains and predicts privacy-related decisions based on users' subjective calculus of the perceived privacy risks and perceived benefits. In this study, we focus on affect (i.e., positive and negative mood states) and its role in interrupting the privacy calculus. Based on a scenario-based experiment conducted among social media users, the results show that users' privacy calculus is biased depending on the mood state they exhibited. The positive effect of perceived benefits on disclosure likelihood was amplified (trivial) under a positive (negative) mood state, whereas the negative effect of perceived privacy risks on disclosure likelihood was trivial (amplified) under a positive (negative) mood state. Also, the construct of privacy concerns was incapable of predicting disclosure likelihood under both positive and negative mood states. We discuss the theoretical and practical implications of these findings.

Original language	English
Title of host publication	Proceedings of the 39th International Conference on Information Systems (ICIS)
Number of pages	17
Place of Publication	Atlanta, GA
Publisher	Association for Information Systems. AIS Electronic Library (AISeL)
Publication date	2018
Article number	1186
ISBN (Electronic)	9780996683173
Publication status	Published - 2018
Externally published	Yes
Event	39th International Conference on Information Systems, ICIS 2018: Bridging the Internet of People, Data, and Things - San Francisco, United States Duration: 13 Dec 2018 → 16 Dec 2018 Conference number: 39 https://icis2018.aisconferences.org/

Conference

Conference	39th International Conference on Information Systems, ICIS 2018
Number	39
Country/Territory	United States
City	San Francisco
Period	13/12/2018 → 16/12/2018
Internet address	https://icis2018.aisconferences.org/

Series	Proceedings of the International Conference on Information Systems
ISSN	0000-0033

Keywords

Information privacy
Privacy calculus
Privacy paradox
Privacy concerns
Disclosure
Enhanced APCO model
Affect
Mood induction
Experiment
Social media

Access to Document

http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1186&context=icis2018Licence: Unspecified

Handle.net

Persistent link

Cite this

Alashoor, T., Al-Maidani, N., & Al-Jabri, I. (2018). The Privacy Calculus under Positive and Negative Mood States. In Proceedings of the 39th International Conference on Information Systems (ICIS) [1186] Association for Information Systems. AIS Electronic Library (AISeL). Proceedings of the International Conference on Information Systems http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1186&context=icis2018

@inproceedings{a4d26b96d4694bb69443f4bef91881c3,

title = "The Privacy Calculus under Positive and Negative Mood States",

abstract = "The privacy calculus has gained wide acceptance in the privacy literature. It is a parsimonious economic model that explains and predicts privacy-related decisions based on users' subjective calculus of the perceived privacy risks and perceived benefits. In this study, we focus on affect (i.e., positive and negative mood states) and its role in interrupting the privacy calculus. Based on a scenario-based experiment conducted among social media users, the results show that users' privacy calculus is biased depending on the mood state they exhibited. The positive effect of perceived benefits on disclosure likelihood was amplified (trivial) under a positive (negative) mood state, whereas the negative effect of perceived privacy risks on disclosure likelihood was trivial (amplified) under a positive (negative) mood state. Also, the construct of privacy concerns was incapable of predicting disclosure likelihood under both positive and negative mood states. We discuss the theoretical and practical implications of these findings.",

keywords = "Information privacy, Privacy calculus, Privacy paradox, Privacy concerns, Disclosure, Enhanced APCO model, Affect, Mood induction, Experiment, Social media, Information privacy, Privacy calculus, Privacy paradox, Privacy concerns, Disclosure, Enhanced APCO model, Affect, Mood induction, Experiment, Social media",

author = "Tawfiq Alashoor and Nader Al-Maidani and Ibrahim Al-Jabri",

year = "2018",

language = "English",

series = "Proceedings of the International Conference on Information Systems",

booktitle = "Proceedings of the 39th International Conference on Information Systems (ICIS)",

publisher = "Association for Information Systems. AIS Electronic Library (AISeL)",

note = "39th International Conference on Information Systems, ICIS 2018 ; Conference date: 13-12-2018 Through 16-12-2018",

url = "https://icis2018.aisconferences.org/",

}

Alashoor, T, Al-Maidani, N & Al-Jabri, I 2018, The Privacy Calculus under Positive and Negative Mood States. in Proceedings of the 39th International Conference on Information Systems (ICIS)., 1186, Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, Proceedings of the International Conference on Information Systems, 39th International Conference on Information Systems, ICIS 2018, San Francisco, California, United States, 13/12/2018. <http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1186&context=icis2018>

The Privacy Calculus under Positive and Negative Mood States. / Alashoor, Tawfiq; Al-Maidani, Nader; Al-Jabri, Ibrahim.
Proceedings of the 39th International Conference on Information Systems (ICIS). Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL), 2018. 1186 (Proceedings of the International Conference on Information Systems).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - The Privacy Calculus under Positive and Negative Mood States

AU - Alashoor, Tawfiq

AU - Al-Maidani, Nader

AU - Al-Jabri, Ibrahim

N1 - Conference code: 39

PY - 2018

Y1 - 2018

N2 - The privacy calculus has gained wide acceptance in the privacy literature. It is a parsimonious economic model that explains and predicts privacy-related decisions based on users' subjective calculus of the perceived privacy risks and perceived benefits. In this study, we focus on affect (i.e., positive and negative mood states) and its role in interrupting the privacy calculus. Based on a scenario-based experiment conducted among social media users, the results show that users' privacy calculus is biased depending on the mood state they exhibited. The positive effect of perceived benefits on disclosure likelihood was amplified (trivial) under a positive (negative) mood state, whereas the negative effect of perceived privacy risks on disclosure likelihood was trivial (amplified) under a positive (negative) mood state. Also, the construct of privacy concerns was incapable of predicting disclosure likelihood under both positive and negative mood states. We discuss the theoretical and practical implications of these findings.

AB - The privacy calculus has gained wide acceptance in the privacy literature. It is a parsimonious economic model that explains and predicts privacy-related decisions based on users' subjective calculus of the perceived privacy risks and perceived benefits. In this study, we focus on affect (i.e., positive and negative mood states) and its role in interrupting the privacy calculus. Based on a scenario-based experiment conducted among social media users, the results show that users' privacy calculus is biased depending on the mood state they exhibited. The positive effect of perceived benefits on disclosure likelihood was amplified (trivial) under a positive (negative) mood state, whereas the negative effect of perceived privacy risks on disclosure likelihood was trivial (amplified) under a positive (negative) mood state. Also, the construct of privacy concerns was incapable of predicting disclosure likelihood under both positive and negative mood states. We discuss the theoretical and practical implications of these findings.

KW - Information privacy

KW - Privacy calculus

KW - Privacy paradox

KW - Privacy concerns

KW - Disclosure

KW - Enhanced APCO model

KW - Affect

KW - Mood induction

KW - Experiment

KW - Social media

KW - Information privacy

KW - Privacy calculus

KW - Privacy paradox

KW - Privacy concerns

KW - Disclosure

KW - Enhanced APCO model

KW - Affect

KW - Mood induction

KW - Experiment

KW - Social media

M3 - Article in proceedings

AN - SCOPUS:85062556390

T3 - Proceedings of the International Conference on Information Systems

BT - Proceedings of the 39th International Conference on Information Systems (ICIS)

PB - Association for Information Systems. AIS Electronic Library (AISeL)

CY - Atlanta, GA

T2 - 39th International Conference on Information Systems, ICIS 2018

Y2 - 13 December 2018 through 16 December 2018

ER -