... Squares Structural Equation Modeling (PLS-SEM) method. Findings The outcome of this work showed that the “reasons for” positively influence and “reasons against” negatively influence consumers’ attitudes and use intentions. Consumers’ values of openness to change positively influence the “reasons...

...-19 outbreak from the website that rates airport quality. The dataset was examined using hierarchical regression, PLS-SEM, and the unsupervised Bayesian algorithm-based PSEM in order to verify the hypothesis. Findings The results showed that people’s intentions to recommend airports...

... of social play habit in the relationship between gamification design elements and we-intention to continue playing. Design/methodology/approach The proposed model was empirically evaluated using survey data collected from 292 PUBG users based in Malaysia. PLS-SEM analysis was used to assess the model...

... (PLS-SEM). Findings The authors investigated two sets of hypotheses – both direct and indirect (or mediation interactions). Results show that psychological empowerment and conflict management are significant in managing VTs. Also, perceived virtuality impacts team outcomes, i.e. perceived team...

... The proposed model is developed using behavioral reasoning theory and empirically validated by surveying 1,130 employees and data was analyzed with PLS-SEM. Findings This research presents the “reasons for” and “reasons against” for the acceptance of AI-based employee experience chatbots. The “reasons...

... data analysis. Overall, 1,380 students of higher education institutes were surveyed, and the collected data was analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique. Findings The T-bot's ADI’s antecedents found were perceived ease of use, perceived usefulness...