Continuance of protective security behavior: A longitudinal study

Warkentin, Merrill; Johnston, Allen C.; Shropshire, Jordan; Barnett, William

doi:10.1016/j.dss.2016.09.013

Cited by 94 publications

(52 citation statements)

References 76 publications

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“…However, as we argue, theories applied to understand continued use of hedonic systems do not suit the emergency context, in which most interaction with the app is prompted by occasional emergency notifications. In particular, explaining continued use with theories that consider drivers such as satisfaction, hedonic value, habit, flow, or perceived enjoyment (Franque et al 2020 ), while appropriate for hedonic systems (Warkentin et al 2016 ) such as social media apps (Chang and Zhu 2012 ), is less appropriate for emergency warning systems. For instance, while theories on IS continuance stress the role of satisfaction in the sense of a pleasurable user experience for the continuance of use intention (Bhattacherjee and Premkumar 2004 ; Shaikh and Karjaluoto 2015 ), this determinant is less relevant with respect to protective behavior.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For instance, while theories on IS continuance stress the role of satisfaction in the sense of a pleasurable user experience for the continuance of use intention (Bhattacherjee and Premkumar 2004 ; Shaikh and Karjaluoto 2015 ), this determinant is less relevant with respect to protective behavior. IS use in the context of security behavior is not aimed at personal satisfaction, as it is in hedonic systems (Warkentin et al 2016 ).…”

Section: Literature Reviewmentioning

confidence: 99%

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A Protection-Motivation Perspective to Explain Intention to Use and Continue to Use Mobile Warning Systems

2021

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Mobile emergency warning apps are essential for effective emergency communication – of course, provided the population intends to use them. Drawing on protection motivation theory, the study validated a psychometric model to explain what motivates individuals to install a warning app for the first time and to keep using it over time. Multi-group covariance-based structural equation modeling was used to model the answers to a survey that measured the drivers of intention to begin using or intention to continue using a warning app. The model shows that, for both non-users and users, trust, social influence, and response efficacy positively and maladaptive rewards negatively affect intention to use and intention to continue use warning apps. However, perceived vulnerability influences only intention to use, whereas response cost and self-efficacy affect continued use intention. Hence, this study enhances the theoretical understanding of technology-enabled protection behaviors and provides practitioners with a list of factors to consider for pushing the adoption and continued use of emergency warning applications.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A Protection-Motivation Perspective to Explain Intention to Use and Continue to Use Mobile Warning Systems

2021

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“…The purpose of this paper is to provide a replication of the core PMT models as used by Warkentin, Johnston, Shropshire, and Barnett (2016) and Siponen, Mahmood, and Pahnila (2014) along with the full PMT nomology as used by Boss et al (2015) and Posey et al (2015). This paper replicates these two different instantiations of the PMT using the voluntary adoption of password manager applications (i.e., applications used to manage a user's passwords across multiple websites and devices) for home end-users.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Core and Full Protection Motivation Theory Nomologies for the Voluntary Adoption of Password Manager Applications

Aurigemma¹,

Mattson²,

Leonard³

2019

AIS TRR

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The protection motivation theory (PMT) is widely used in behavioral information security research, with multiple instantiations of the theoretical model applied in the literature. The purpose of this study is to perform a theoretical (conceptual) replication of both the core and full (PMT) nomologies in the context of voluntary password manager application use for individual home end-users. In our study, the full PMT model explained more variance than the core PMT model, but the relationships between multiple behavioral antecedents differed between the core and full PMT models, possibly due to differences in model complexity. Our findings suggest that researchers should justify the version of the PMT that they choose to use based on their research objectives with the understanding that the same variables may be significant in one version of the PMT but not significant in another version of the PMT.

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“…And, we expect such a high self-efficacy will finally result in the formation of his/her habit of repetitive adherence to privacy policy. A number of studies [32–35] have found a relationship between self-efficacy and policy compliance intention or continuance intention to protect security. Further, research on the role of self-efficacy [29] has suggested the importance of self-efficacy on forming habits.…”

Section: Introductionmentioning

confidence: 99%

Continuance compliance of privacy policy of electronic medical records: the roles of both motivation and habit

Kuo

Chen

Talley

et al. 2018

BMC Med Inform Decis Mak

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BackgroundHospitals have increasingly realized that wholesale adoption of electronic medical records (EMR) may introduce differential tangible/intangible benefits to them, including improved quality-of-care, reduced medical errors, reduced costs, and allowable instant access to relevant patient information by healthcare professionals without the limitations of time/space. However, an increased reliance on EMR has also led to a corresponding increase in the negative impact exerted via EMR breaches possibly leading to unexpected damage for both hospitals and patients. This study investigated the possible antecedents that will influence hospital employees’ continuance compliance with privacy policy of Electronic Medical Records (EMR). This is done from both motivational and habitual perspectives; specifically, we investigated the mediating role of habit between motivation and continuance compliance intention with EMR privacy policy.MethodsData was collected from a large Taiwanese medical center by means of survey methodology. A total of 312 responses comprised of various groups of healthcare professionals was collected and analyzed via structural equation modeling.ResultsThe results demonstrated that self-efficacy, perceived usefulness, and facilitating conditions may significantly predict hospital employees’ compliance habit formation, whereas habit may significantly predict hospital employees’ intention to continuance adherence to EMR privacy policy. Further, habit partially mediates the relationships between self-efficacy, perceived usefulness, facilitating conditions and continuance adherence intention.ConclusionsBased on our findings, the study suggests that healthcare facilities should take measures to promote their employees’ habitualization with continuous efforts to protect EMR privacy parameters. Plausible strategies include improving employees’ levels of self-efficacy, publicizing the effectiveness of on-going privacy policy, and creating a positive habit-conducive environment leading to continued compliance behaviors.

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Continuance of protective security behavior: A longitudinal study

Cited by 94 publications

References 76 publications

A Protection-Motivation Perspective to Explain Intention to Use and Continue to Use Mobile Warning Systems

A Protection-Motivation Perspective to Explain Intention to Use and Continue to Use Mobile Warning Systems

Evaluating the Core and Full Protection Motivation Theory Nomologies for the Voluntary Adoption of Password Manager Applications

Continuance compliance of privacy policy of electronic medical records: the roles of both motivation and habit

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