The consumer journey on collaborative consumption platforms : an empirical study using structure equation modeling

Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research e CRMThe consumption pattern in digital world is changing due to emerging platforms that allow individuals to share their underutilized assets so that others can access them without having any liability. These platforms based on collaborative consumption (CC) definitely provide economic gains but how consumers take this entire journey on CC platform is the focus of this research. To understand this phenomenon in detail, we first identified the key determinants of CC Platforms and then estimated the multiple relationships using partial least squares path modelling. The theoretical section included the dimension of consumer trust, social media and other relevant constructs along with technology acceptance theory, which further supported in developing the research model. In order to test the model, we conducted a detailed survey and validated the hypotheses. The outcome variables were sharing intention, user behaviour, trust, satisfaction, and intention to recommend. The explanation all the dependent variables was exceptionally good. In addition, we conducted a mediation analysis and found satisfaction as a mediator variable

SEISMIC VULNERABILITY ASSESSMENT OF BRIDGES USING FRAGILITY-BASED APPROACH

Dynamic loads can cause severe damage to bridges, and lead to malfunction of transportation networks. A comprehensive understanding of the nature of the dynamic loads and the structural response of bridges can prevent undesired failures while keeping the cost-safety balance. Dissimilar to the static behaviour, the dynamic response of bridges depends on several structural parameters such as material properties, damping and mode shapes. Furthermore, dynamic load characteristics can significantly change the structural response. In most cases, complexity and involvement of numerous parameters require the designer to investigate the bridge response via a massive numerical study. Depending on the seismicity of the bridge local site, seismic vulnerability assessment of the bridges can be done based on the fragility curves. These curves are conditional probability functions which give the probability of a bridge attaining or exceeding a particular damage level for an earthquake of a given intensity level. In this dissertation, analytical fragility curves are developed for the ordinary highway bridges in the assessment of their seismic vulnerability. Bridges are first grouped into certain major bridge classes based on their structural attributes and sample bridges are generated to account for the structural variability. Nonlinear response history analyses are conducted for each bridge sample with their detailed 3-D analytical models under different earthquake ground motions having varying seismic intensities. Several engineering demand parameters are employed in the determination of seismic response of the bridge components as well as defining damage limit states in terms of member capacities. Fragility curves are obtained from the probability of exceeding each specified damage limit state for each major bridge class. Skew and single-column bent bridges are found to be the most vulnerable ones in comparison with the other bridge classes. Developed fragility curves can be implemented in the seismic risk assessment packages for mitigation purposes