Does COVID-19 Pandemic Motivate Privacy Self-Disclosure in Mobile Fintech Transactions? A Privacy-Calculus-Based Dual-Stage SEM-ANN Analysis

The emergence of mobile financial technology (mobile fintech) services raises numerous public concerns regarding privacy issues;consequently, researchers in mobile technology acceptance have focused on consumers' privacy self-disclosure behaviors under the usual scenario. However, there is still a lack of understanding on how external influences, such as a public health crisis, affect consumers' privacy decision-making process. Therefore, in this article, we examine the effects of privacy- and pandemic-related antecedents on mobile fintech users' information self-disclosure behavior during the coronavirus disease 2019 pandemic. The present research adopts a self-administered questionnaire with 712 effective responses for data collection and a two-stage partial least squares-structural equation modeling-artificial neural network (PLS-SEM-ANN) approach to test the theoretical lens proposed. The results indicate that the significant structural paths in the model are consistent with the proposed hypotheses and existing literature. Surprisingly, face-to-face avoidance (FFA) does not significantly influence consumers' self-disclosure willingness. Infection severity and infection susceptibility were insignificant with FFA. The present research is the first to investigate consumers' privacy-related behavior via integrating the privacy-calculus framework with control agency theory. This research focuses on consumers' decision-making during the pandemic, explicitly highlighting the macroenvironment's role in influencing an individual's behavior.

The role of cybersecurity and policy awareness in shifting employee compliance attitudes: Building supply chain capabilities

This paper investigates the role of general cybersecurity and cybersecurity policy awareness in enhancing supply chain cyber resilience reactive capabilities. Theorizing from the Protection Motivation Theory, 200 Small and Medium Enterprises (SMEs) were contacted to understand their perception of cybersecurity and policy awareness in affecting their overall cybersecurity hygiene. Data collection was carried out using a questionnaire survey and analysed via Partial Least Squares-based Structural Equation Modelling to validate the research framework. Results of analysis outlined the importance of general cybersecurity and policy awareness in shifting employees’ compliance attitude towards enhancing supply chain reactive capability. Using a mixed-method approach, post-survey interviews were further conducted with practitioners in SMEs to understand the study findings. The implications outlined in this study emphasises the importance of prioritising preventive measures and proper employee cyber hygiene to address the risk and loss following a cyber-attack. Key supply chain operational areas in SMEs are still largely supported by the human workforce serving as its backbone. An unwarranted attack could cause adverse business impacts. Thus, practitioners and SMEs would be alerted to the critical need for a robust security posture and that SMEs’ need of the hour lies at the core of its policy and employee cybersecurity hygiene.

The Dark Side of Mobile Learning via Social Media: How Bad Can It Get?

As the COVID-19 pandemic continues to spread at an unprecedented rate, many universities around the world halted physical forms of teaching and learning to stop the spread of the virus. As a result, many university students were forced to utilize online learning through channels such as mobile social media. Due to the novelty of this situation, there are many unknowns particularly with the negative influences of mobile learning via social media on university students. Thus, this study looks to examine this subject matter from the perspective of the stimulus-organism-response theory. The uniquely developed research model included four stimuli (i.e., social overload, information overload, life invasion, and privacy invasion), two organisms (i.e., technostress and exhaustion) as well as a response in terms of reduced intention to use mobile learning via social media. The responses were collected from 384 university students via an online survey and analyzed with the Partial-Least-Square-Structural-Equation-Modelling. It was found that the antecedents for both technostress and exhaustion were able to account for more than half of their respective variances. Furthermore, technostress and exhaustion were significant facilitators of the students' reduced intention to use mobile learning via social media. In addition to the practical insights for stakeholders in the education industry, this study also posited several theoretical implications for researchers.

Can COVID-19 pandemic influence experience response in mobile learning?

The mass spreading of COVID-19 has changed the paradigm of the education industry. In China and many other nations, universities have introduced compulsory remote education programs such as mobile learning (m-learning) to prevent public health hazards caused by the pandemic. However, so far, there is still a lack of understanding of student's learning experience responses in compulsory m-learning programs. As such, there is a necessity to explore the factors and mechanisms which drives students' experience. This paper evaluates the influence of both pedagogy and technology on learner's compulsory m-learning experience response (ER) by extending the mobile technology acceptance model (MTAM) during the COVID-19 pandemic. An online self-administered questionnaire was used to collect the data, which was then analysed through SmartPLS 3.2.9. Importance-performance matrix analysis was applied as a post-hoc procedure to gauge the importance and performance of the exogenous constructs. The results revealed that perceptions of m-learning's learning content quality, user interface, and system's connectivity affect the perceived mobile usefulness and easiness which in turn affects ER. This paper validates MTAM in the field of education by integrating MTAM with pedagogy and technology attributes under a social emergency setting such as the COVID-19 pandemic. In addition, the current research explains users' ER rather than behaviour intention which is commonly adopted in past studies.