ABSTRACT
Despite the high utilization of mobile payment during the COVID-19 pandemic, this situation may change in the post-pandemic era. Therefore, great value can be derived from determining the significant antecedents of mobile payment continuance intention. This study looks to do so by introducing a Multi-Dimensional Nomological Network of Mobile Payment Continuance. A two-stage Partial Least Square-Structural Equation Modeling and Artificial Neural Network was utilized for the data analysis. The results provided empirical support to establish the overall nomological network. In addition, more than 70% of the variance in continuance intention was captured. Overall, this study provides practitioners with detailed insights to develop strategies for sustainable utilization and academics with a dynamic framework to look into users' mobile payment continuance intention.
ABSTRACT
Purpose>The COVID-19 pandemic has brought about significant changes to the lives of many people. One of which is the accelerated digitalization in the commerce sector. Hence, this study looks to determine the antecedents that affect users' mobile shopping actual use during a pandemic.Design/methodology/approach>The research model was founded on the integration of the Protection Motivation Theory and Transactional Theory of Stress. This is in addition to further extending the integrated research model with other constructs to develop a multi-dimensional framework that accounted for the health, personal, technological and social dimensions. The data was collected from users of mobile shopping through an online survey which was then analyzed via Partial Least Squares–Structural Equation Modeling.Findings>This study provides empirical support to establish the major role of COVID-19 pandemic in affecting the actual usage of mobile shopping. Furthermore, the determinants of actual usage of mobile shopping were found to be multi-dimensional. In particular, the Importance-Performance Map Analysis revealed that emphasis should be place on perceived vulnerability.Originality/value>As other studies focused on users' intentions, this study looked into the factors that influence the actual usage of mobile shopping. Furthermore, this study emphasizes on the contextualization of time and situation in addition to a multi-dimensional approach toward the subject matter. Overall, this study offers practical insights to stakeholders to better tailor their mobile shopping services in times of a pandemic and advances the literature on actual usage of mobile shopping.
ABSTRACT
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.
ABSTRACT
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.