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Article
Publication date: 28 October 2021

Naurin Farooq Khan, Naveed Ikram, Hajra Murtaza and Muhammad Aslam Asadi

This study aims to investigate the cybersecurity awareness manifested as protective behavior to explain self-disclosure in social networking sites. The disclosure of information…

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Abstract

Purpose

This study aims to investigate the cybersecurity awareness manifested as protective behavior to explain self-disclosure in social networking sites. The disclosure of information about oneself is associated with benefits as well as privacy risks. The individuals self-disclose to gain social capital and display protective behaviors to evade privacy risks by careful cost-benefit calculation of disclosing information.

Design/methodology/approach

This study explores the role of cyber protection behavior in predicting self-disclosure along with demographics (age and gender) and digital divide (frequency of Internet access) variables by conducting a face-to-face survey. Data were collected from 284 participants. The model is validated by using multiple hierarchal regression along with the artificial intelligence approach.

Findings

The results revealed that cyber protection behavior significantly explains the variance in self-disclosure behavior. The complementary use of five machine learning (ML) algorithms further validated the model. The ML algorithms predicted self-disclosure with an area under the curve of 0.74 and an F1 measure of 0.70.

Practical implications

The findings suggest that costs associated with self-disclosure can be mitigated by educating the individuals to heighten their cybersecurity awareness through cybersecurity training programs.

Originality/value

This study uses a hybrid approach to assess the influence of cyber protection behavior on self-disclosure using expectant valence theory (EVT).

Article
Publication date: 3 July 2020

Fauzia Syed, Muhammad Waheed Akhtar, Muhammad Kashif, Muhammad Asrar-ul-Haq, Qurt ul ain, Mudassir Husnain and Muhammad Kashif Aslam

This study investigates despotic leadership (DL) as an antecedent to bullying behavior with a mediating role of moral emotions at work. Another aim is to study the moderating role…

Abstract

Purpose

This study investigates despotic leadership (DL) as an antecedent to bullying behavior with a mediating role of moral emotions at work. Another aim is to study the moderating role of self-concordance to buffer the relationship between DL and arousal of moral emotions.

Design/methodology/approach

The authors collected two-source (self-reported and supervisor reported) time-lagged data in the shape of a three-wave survey (i.e. one month time interval for each time) from 242 dyads in the health sector of Pakistan.

Findings

The results revealed that moral emotions mediated the relationship between DL and bullying behavior. Furthermore, self-concordance moderates the relationship between DL and moral emotions, such that the relationship will be stronger in the case of low self-concordance.

Research limitations/implications

Managers need to promote a culture that accommodates diversity of opinion at the organization so that everyone is able to express and share their views openly. Organizations should encourage supervisors to participate in leadership development programs aimed at eliminating DL.

Originality/value

This study establishes the role of self-concordance and moral emotions in the relationship between despotic leadership DL and bullying behavior.

Details

Journal of Management Development, vol. 39 no. 7/8
Type: Research Article
ISSN: 0262-1711

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