Purpose
Online video advertisement is a wide-ranging phenomenon on the internet that provides huge opportunities for business enterprises. The revenues of website service providers come primarily from advertisement. However, it is rare to find research focusing on consumer attitudes toward online video advertisement. This study aims to investigate consumer attitudes toward advertisement while they are watching online videos on YouTube.
Design/methodology/approach
The paper followed Brackett and Carr’s (2001) Web Advertising Attitudes Model and combined it with the theory of reasoned action (TRA) and the flow theory. This study investigates consideration of the factors affecting attitudes toward advertisement and the influence on shopping intention and purchase behavior.
Findings
The findings indicate that entertainment, informativeness, irritation and credibility have a shopping influence on purchase attitudes. Flow, on the other hand, does have an influence on shopping intention and purchase behavior. The discussion and conclusion have been further discussed.
Originality/value
This study provides a comprehensive model for online video advertisement. This model was based on Brackett and Carr’s model, combining the users and gratifications theory, TRA and flow theory to develop an online video advertisement model. Researchers can consider this model as a framework and use it to capture a more complete picture of the relevant phenomena in their works.
A series of cubic network phases was obtained from the self-assembly of a single-composition lamellae (L)-forming block copolymer (BCP) polystyrene-block-polydimethylsiloxane (PS-b-PDMS) through solution casting using a PS-selective solvent. An unusual network phase in diblock copolymers, double-primitive phase (DP) with space group of Im3¯m, can be observed. With the reduction of solvent evaporation rate for solution casting, a double-diamond phase (DD) with space group of Pn3¯m can be formed. By taking advantage of thermal annealing, order–order transitions from the DP and DD phases to a double-gyroid phase (DG) with space group of Ia3¯d can be identified. The order–order transitions from DP (hexapod network) to DD (tetrapod network), and finally to DG (trigonal planar network) are attributed to the reduction of the degree of packing frustration within the junction (node), different from the predicted Bonnet transformation from DD to DG, and finally to DP based on enthalpic consideration only. This discovery suggests a new methodology to acquire various network phases from a simple diblock system by kinetically controlling self-assembling process.
[1] The vertical isopycnal displacements associated with internal waves generated by the barotropic tidal currents in the vicinity of Luzon Strait are estimated using measurements collected by autonomous underwater gliders. Nearly 23,000 profiles from Seagliders and Spray gliders, collected during 29 different missions since 2007, are used to estimate the amplitude and phase of the linear semidiurnal and diurnal internal waves in this energetic region, particularly in the previously poorly sampled area near the eastern ridge and on the Pacific side of Luzon Strait. The mean and variability of the internal wave field in the upper 1000 m of the water column are described. The phase progression of internal waves as they propagate away from their generation sites is captured directly. The glider-based observations are used to map the mode-1 semidiurnal and diurnal internal wave fields, providing the baroclinic energy flux over a roughly 600 km  800 km region based strictly on in situ observations.
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