Using the Biblical Metaphor Model, this research identifies a group of critical success factors for each phase of NPD.
Employing a spatial error model, this research analyzes spatial autocorrelation in higher-priced mortgages in the Philadelphia and Chicago MSAs.
Through an explorative analysis using regression models, this research identifies the economic and social characteristics of disaster-stricken communities that could affect their post-disaster recovery.
To develop the model, this research use data from bike-share systems in four cities and 47 permanent bicycle counters in six cities.
Accounting for the individual-specific coefficients in the mixed logit choice model, this research advocates an individualized design approach to generate these stated choice experiments.
Using Bayesian Network modelling, this research study characterised the influence of vehicular traffic on the build-up of the sixteen US EPA classified priority PAHs.
To more clearly demonstrate how AHP is integrated into the newly proposed minimax DEA-based GRA model, this research presents an analytical process in which alternatives' weights are bounded by the AHP method.
Consequently, using the Rasch measurement model, this research successfully showed that when given a graphics-enhanced pedagogy, particular combinations of the Riding and Cheema (1991) cognitive style construct had the potential to perform much better than others.
While other previous researches used older machine learning algorithm in building their models, this research tries to implement some deep learning architectures to see the comparison by doing comprehensive analysis method through the accuracy result.
To solve the quantitative model, this research implements a modified and efficient forest data structure to derive the optimal network configuration, minimizing both the cost and the total carbon footprint of the network.
