Understanding smartphone security behaviors: An extension of the protection motivation theory with anticipated regret

Verkijika, Silas Formunyuy

doi:10.1016/j.cose.2018.03.008

Cited by 80 publications

(36 citation statements)

References 35 publications

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“…Perceived risk vulnerability is a person's perception that they will experience negative consequences for behaving in a risky way (Rogers, 1983;Salleh et al, 2012). It also refers to how likely they perceive a security threat to be (Verkijika, 2018) and whether they perceive their device as susceptible to particular threats (Hanus and Wu, 2016). Within the context of smartphone security, perceived risk vulnerability refers to the likelihood that a smartphone is prone to a security threat (Verkijika, 2018).…”

Section: Perceived Risk Vulnerabilitymentioning

confidence: 99%

“…It also refers to how likely they perceive a security threat to be (Verkijika, 2018) and whether they perceive their device as susceptible to particular threats (Hanus and Wu, 2016). Within the context of smartphone security, perceived risk vulnerability refers to the likelihood that a smartphone is prone to a security threat (Verkijika, 2018). It also refers to the employee's belief that an unwanted incident will happen if they do not act to prevent it-which in turn affects security (Vance et al, 2012).…”

Section: Perceived Risk Vulnerabilitymentioning

confidence: 99%

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Keeping customers' data secure: A cross-cultural study of cybersecurity compliance among the Gen-Mobile workforce

Ameen

Tarhini

Shah³

et al. 2021

Computers in Human Behavior

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Employees are increasingly relying on mobile devices. In international organizations, more employees are using their personal smartphones for work purposes. Meanwhile, the number of data breaches is rising.However, employees' cybersecurity compliance with cybersecurity policies is poorly understood.Researchers have called for a more holistic approach to information security. We propose an employee smartphone-security compliance (ESSC) model, which deepens understanding of employees' informationsecurity behavior by considering influences on the national, organizational, technological (smartphonespecific), and personal levels. The research focuses on secure smartphone use in the workplace among Gen-Mobile (aged 18-35) employees in a cross-cultural context: the United Kingdom (UK), United States (US) and United Arab Emirates (UAE) where 1,735 questionnaires were collected. Our findings suggest that those who wish to understand employees' smartphone-security behavior should consider national cybersecurity policies, cultural differences in different countries, and threats specific to smartphone use.

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Section: Perceived Risk Vulnerabilitymentioning

confidence: 99%

Section: Perceived Risk Vulnerabilitymentioning

confidence: 99%

Keeping customers' data secure: A cross-cultural study of cybersecurity compliance among the Gen-Mobile workforce

Ameen

Tarhini

Shah³

et al. 2021

Computers in Human Behavior

View full text Add to dashboard Cite

show abstract

“…Response efficacy believes in the effectiveness of the protection [65]. Protection motivation theory has been used to explain and understand protection behaviors online [64,65]; [66].…”

Section: Perceived Switching Risk In Online Shoppingmentioning

confidence: 99%

An integrated model of the younger generation’s online shopping behavior based on empirical evidence gathered from an emerging economy

Dang

Wang

2020

PLoS ONE

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The younger generation is the largest Internet user group in China. They are the first generation to grow up with computers, the Internet, smartphones, online social media, and online shopping. The individuals that belong to this generational cohort have one thing in common-their online shopping behavior. To understand the shopping behavior of the younger Chinese generation, this study draws on the theoretical foundation of generational cohort theory. This study proposes an integrated model that examines the effects of information adoption, personalized service, perceived switching risk, and habitual behavior on purchase intention in the online shopping environment. Survey data have been collected from 407 Chinese people that belong to the post-90s generation. Structural equation modeling is used to analyze the data. Empirical findings show that information adoption, personalized service, and perceived switching risk are the most important predictors of online purchase intention. However, habitual behavior is negatively related to online purchase intention.

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“…The studies that have in fact evaluated the influence of social norms have done so using different descriptions, such as social influence or social sanctions (Herath and Rao, 2009;Johnston and Warkentin, 2010;Siponen and Vance, 2010) or have evaluated the constituent elements of social norms (subjective, descriptive, or injunctive norms) separately (Ifinedo, 2014;Safa et al, 2017). Recent studies that have evaluated social norms as a single construct either use it within different disciplines (Emami and Khajeheian, 2019;Esfandiar et al, 2019;; or only evaluate the components thereof, such as subjective norms (Tsai et al, 2016) or descriptive norms (Verkijika, 2018;Merhi and Ahluwalia, 2019). In terms of users' privacy concerns and information security awareness, Lowry et al (2011) made use of social exchange theory and combined it with the attitudinal aspect of the theory of reasoned action, explicitly arguing in favor of actual self-disclosure as opposed to intent.…”

Section: Theoretical Foundationmentioning

confidence: 99%

Information privacy behavior in the use of Facebook apps: A personality-based vulnerability assessment

Schyff

Flowerday

Lowry

2020

Heliyon

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The unauthorized use of personal information belonging to users of apps integrated with the Facebook platform affects millions of users. Crucially, although privacy concerns and awareness have increased, the use of these apps, and related privacy behaviors, remain largely unchanged. Given that such privacy behaviors are likely influenced by individuals' personality traits, it is imperative to better understand which personality traits make individuals more vulnerable to such unauthorized uses. We build on a recontextualized version of the theory of planned behavior (TPB) to evaluate the influence of the Big Five personality traits on attitudes toward Facebook privacy settings, social norms, and information privacy concerns (IPCs)—all within the context of Facebook app use. To evaluate this study's model, we analyzed 576 survey responses by way of partial least squares path modeling. Results indicate that highly extraverted individuals are particularly vulnerable to privacy violations (e.g., unauthorized use of personal information) because of their negative attitudes toward Facebook privacy settings. Our post hoc analysis uncovered interesting combinations of personality traits that make individuals particularly vulnerable to the unauthorized use of app-based information. In particular, the combination of extraversion and conscientiousness had a negative effect on individuals' attitude toward privacy settings. We also found a significant negative relationship between IPCs and intention to use Facebook apps . Finally, we found a positive relationship between social norms and intentions. Taken together, these results infer that individuals are likely to be influenced by their peers in the use of Facebook apps but that their intentions to use these apps declines as privacy concerns increase.

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Understanding smartphone security behaviors: An extension of the protection motivation theory with anticipated regret

Cited by 80 publications

References 35 publications

Keeping customers' data secure: A cross-cultural study of cybersecurity compliance among the Gen-Mobile workforce

Keeping customers' data secure: A cross-cultural study of cybersecurity compliance among the Gen-Mobile workforce

An integrated model of the younger generation’s online shopping behavior based on empirical evidence gathered from an emerging economy

Information privacy behavior in the use of Facebook apps: A personality-based vulnerability assessment

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