Employees’ behavioural intention to smartphone security : A gender-based, cross-national study. / Ameen, Nisreen; Tarhini, Ali; Shah, Mahmood; Madichie, Nnamdi.

In: Computers in Human Behavior, 01.11.2019.

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Employees’ behavioural intention to smartphone security : A gender-based, cross-national study. / Ameen, Nisreen; Tarhini, Ali; Shah, Mahmood; Madichie, Nnamdi.

In: Computers in Human Behavior, 01.11.2019.

Research output: Contribution to journalArticle

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Ameen, Nisreen ; Tarhini, Ali ; Shah, Mahmood ; Madichie, Nnamdi. / Employees’ behavioural intention to smartphone security : A gender-based, cross-national study. In: Computers in Human Behavior. 2019.

BibTeX

@article{aac0b51e597042c8a94a1cb8bf919a31,
title = "Employees{\textquoteright} behavioural intention to smartphone security: A gender-based, cross-national study",
abstract = "Despite the benefits of bring your own device (BYOD) programmes, they are considered one of the top security risks companies are facing. Furthermore, there is a gap in the literature in understanding gender differences in employees{\textquoteright} smartphone security behavioural intention. This research analyses gender differences in smartphone security behavioural intention among employees in the United Arab Emirates (UAE) and the United States (US). The research develops a new model, the behavioural model of cybersecurity (BMS), based on a combination of the protection motivation theory (PMT), the general deterrence theory (GDT) and Hofstede{\textquoteright}s cultural dimensions. A questionnaire was distributed to employees in both countries. A total of 1156 usable responses were analysed using partial least squares structural equation modelling. The findings show that gender differences exist, but neither male nor female employees in either country are aware of the risks associated with their use of smartphones, despite their awareness of the existence of their company{\textquoteright}s BYOD security policies. The research provides theoretical and practical contributions by developing a new model combining the PMT, GDT and Hofstede{\textquoteright}s cultural dimensions and suggests gender differences in employees{\textquoteright} smartphone security behavioural intention in a cross-national context. It has several practical implications for practitioners and policymakers. ",
keywords = "BYOD security, PMT, GDT, smartphone security, employees{\textquoteright} BYOD security intention, Hofstede{\textquoteright}s cultural dimensions",
author = "Nisreen Ameen and Ali Tarhini and Mahmood Shah and Nnamdi Madichie",
year = "2019",
month = nov
day = "1",
doi = "10.1016/j.chb.2019.106184",
language = "English",
journal = "Computers in Human Behavior",
issn = "0747-5632",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - Employees’ behavioural intention to smartphone security

T2 - A gender-based, cross-national study

AU - Ameen, Nisreen

AU - Tarhini, Ali

AU - Shah, Mahmood

AU - Madichie, Nnamdi

PY - 2019/11/1

Y1 - 2019/11/1

N2 - Despite the benefits of bring your own device (BYOD) programmes, they are considered one of the top security risks companies are facing. Furthermore, there is a gap in the literature in understanding gender differences in employees’ smartphone security behavioural intention. This research analyses gender differences in smartphone security behavioural intention among employees in the United Arab Emirates (UAE) and the United States (US). The research develops a new model, the behavioural model of cybersecurity (BMS), based on a combination of the protection motivation theory (PMT), the general deterrence theory (GDT) and Hofstede’s cultural dimensions. A questionnaire was distributed to employees in both countries. A total of 1156 usable responses were analysed using partial least squares structural equation modelling. The findings show that gender differences exist, but neither male nor female employees in either country are aware of the risks associated with their use of smartphones, despite their awareness of the existence of their company’s BYOD security policies. The research provides theoretical and practical contributions by developing a new model combining the PMT, GDT and Hofstede’s cultural dimensions and suggests gender differences in employees’ smartphone security behavioural intention in a cross-national context. It has several practical implications for practitioners and policymakers.

AB - Despite the benefits of bring your own device (BYOD) programmes, they are considered one of the top security risks companies are facing. Furthermore, there is a gap in the literature in understanding gender differences in employees’ smartphone security behavioural intention. This research analyses gender differences in smartphone security behavioural intention among employees in the United Arab Emirates (UAE) and the United States (US). The research develops a new model, the behavioural model of cybersecurity (BMS), based on a combination of the protection motivation theory (PMT), the general deterrence theory (GDT) and Hofstede’s cultural dimensions. A questionnaire was distributed to employees in both countries. A total of 1156 usable responses were analysed using partial least squares structural equation modelling. The findings show that gender differences exist, but neither male nor female employees in either country are aware of the risks associated with their use of smartphones, despite their awareness of the existence of their company’s BYOD security policies. The research provides theoretical and practical contributions by developing a new model combining the PMT, GDT and Hofstede’s cultural dimensions and suggests gender differences in employees’ smartphone security behavioural intention in a cross-national context. It has several practical implications for practitioners and policymakers.

KW - BYOD security

KW - PMT

KW - GDT

KW - smartphone security

KW - employees’ BYOD security intention

KW - Hofstede’s cultural dimensions

U2 - 10.1016/j.chb.2019.106184

DO - 10.1016/j.chb.2019.106184

M3 - Article

JO - Computers in Human Behavior

JF - Computers in Human Behavior

SN - 0747-5632

ER -