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As insiders remain to be a main reason behind security breaches, effective information security awareness campaigns become critical in protecting organizations from security incidents. The purpose of this paper is to identify factors that influence organizational adoption and acceptance of computer-based security awareness training tools.

The paper uses content analysis of online reviews of the top ten computer-based security awareness training tools that received Gartner peer insights Customers’ Choice 2019 award.

This study identifies nine critical adoption and success factors. These are synthesized into a conceptual framework based on the technology–organization–environment framework. The findings reveal that technological, organizational and environmental factors come into play in adoption decisions but with varying degrees of importance.

This study highlights key factors that technology vendors should take into consideration when designing computer-based security awareness training tools to increase adoption rates.

This research offers a novel contribution to the literature on information security awareness delivery methods by identifying key factors that influence organizational adoption and acceptance of computer-based security awareness training tools. Those factors were identified using content analysis of online reviews, which is a new methodological approach to the information security awareness literature.

During the past few years, social media has faced the challenge of maintaining its user base. Reports show that the social media giants such as Facebook and Twitter experienced a decline in their users. Taking WhatsApp's recent change of its terms of use as the case of this study and using the push-pull-mooring model and a configurational perspective, this study aims to identify pathways for switching intentions.

Data were collected from 624 WhatsApp users recruited from Amazon Mechanical Turk and analyzed using fuzzy set qualitative comparative analysis (fsQCA).

The findings identify seven configurations for high switching intentions and four configurations for low intentions to switch. Firm reputation and critical mass increase intention to switch, while low firm reputation and absence of attractive alternatives hinder switching.

This study extends extant literature on social media migration by identifying configurations that result in high and low switching intention among messaging applications.

The study identifies factors the technology service providers should consider to attract new users and retain existing users.

This study complements the extant literature on switching intention that explains the phenomenon based on a net-effect approach by offering an alternative view that focuses on the existence of multiple pathways to social media switching. It further advances the authors’ understanding of the relevant importance of switching factors.

Mobile device users are frequently faced with a decision to allow access to their personal information that resides on their devices in order to install mobile applications (apps) and use their features. This paper examines the impact of satisfaction on the intention to allow access to personal information. The paper achieves this by acknowledging the affective and cognitive components of satisfaction derived from affect heuristic and privacy calculus theories, respectively.

Survey data was collected from mobile device users who download and install mobile apps on their devices. Overall, 489 responses were collected and analyzed using LISREL 8.80.

The findings suggest that personal information disclosure decision is mainly a matter of being satisfied with the mobile app or not. We show that perceived benefits are more critical than perceived risks in determining satisfaction, and that perceived benefits influence intention to allow access to personal information indirectly through satisfaction.

This study offers a more nuanced analysis of the influence of satisfaction by examining the role of its two components: the cognitive (represented in perceived benefits and perceived risks) and the affective (represented in affect). We show that information disclosure decision is a complicated process that combines both rational and emotional elements.

Information technology is associated with psychological and physical risks such as high stress levels and antisocial behavior. The purpose of this paper is to understand why people engage in technology risk behavior, despite the negative consequences that might follow. Focusing on online games, this study identifies factors that affect individuals' intention to play online games and investigate whether the effects of these factors differ across different risk levels.

Experimental design was used as the research methodology. Subjects were randomly assigned to a single treatment with two conditions: high and low risk scenarios. A total of 597 responses were analyzed to test the research hypotheses.

The research findings reveal that subjective norms, curiosity and playfulness have a positive effect on the intention to play online games, while critical mass has no effect on the intention decisions. Further, among the three significant constructs, playfulness turned out to be the only factor that is affected by risk levels.

This study extends prior literature on technology adoption by examining the effect of different risk levels on adoption intention decisions. It further extends prior literature on online games by identifying the factors that drive individuals to play games while accounting for the risks associated with playing these games.

The research study identifies factors that should be taken into consideration when promoting the adoption of technologies, including online games.

This study offers a new understanding of technology adoption decisions that takes into account the different levels of risk associated with technology use. It shows that an individual's curiosity and the pressure emanating from one's social network are powerful behavior drivers that persist regardless of the level of risk. Further, this research study is among the first to apply categorical least squares methodology combined with a procedure for a moderated structural equation model to test a structural equation model with categorical multiplicative terms in LISREL.

The purpose of this paper is to understand the factors that enable and inhibit WhatsApp users' discontinuance intention (DI) following the change in WhatsApp's privacy policy.

Using the enabler-inhibitor model as a framework, a research model consisting of discontinuation enabler distrust (DT) and the DT's antecedents [(negative electronic word of mouth (NEWOM), negative offline word of mouth (NOWOM) and privacy invasion (PI)], discontinuation inhibitor inertia (INR) and INR's antecedents (affective commitment, switching cost and use habit) and moderator structural assurance was proposed and tested with data from 624 WhatsApp users using partial least square structure equational modeling (PLS-SEM).

The results show that DT created due to NEWOM and a sense of PI significantly impact DI. However, INR has no significant impact on DI. Structural assurance significantly moderates the relationship between DT and DI.

The paper collected data when many WhatsApp users switched to other platforms due to the change in WhatsApp's terms of service. The timing of data collection allowed for collecting the real impact of the sense of PI compared to other studies where the effect is hypothetically induced. Further, the authors acknowledge social media providers' efforts to address privacy criticism and regain users’ trust, an area that has received little attention in prior literature.

Amid the coronavirus disease 2019 (COVID-19) pandemic, higher education institutions (HEI) all over the world have transitioned to online teaching. The purpose of this study is to examine the impact of technostress and negative emotional dissonance on online teaching exhaustion and teaching staff productivity.

Survey methodology was used to collect data from faculty members in Jordanian universities. A total of 217 responses were analyzed to test the research model.

The research findings reveal that technostress creators have various impact on online teaching exhaustion and teaching staff productivity. Negative emotional dissonance has positive impact on both online teaching exhaustion and teaching staff productivity. Further, online teaching exhaustion is negatively associated with teaching staff productivity.

This research extends prior literature on technostress by examining the phenomenon in abnormal conditions (during a crisis). It further integrates technostress theory with emotional dissonance theory to better understand the impact of technostress creators on individual teaching staff productivity while catering for the interactional nature of teaching which is captured through emotional dissonance theory.

The research offers valuable insights for HEI and policymakers on how to support teaching staff and identifies strategies that should facilitate a smooth delivery of online education.

Unlike prior research that have examined technostress under normal operational conditions, this research examines the impact of technostress during a crisis. This study shows that technostress creators vary in their impact. Moreover, this study integrates technostress theory with emotional dissonance theory. While technostress theory captures the impact of technostress creators on individual teaching staff productivity, emotional dissonance theory captures the dynamic nature of the teaching process that involves interactions among teachers and students.