In the information age, more and more people are buying products on the Internet. Impulsive buying within the online shopping research is gradually receiving more attention, as it contributes significantly to online retail profit. This study proposed a research model based on the Stimulus Organism Response (S-O-R) framework to finding the antecedents of consumer reaction and behavior, specifically to distinguish task-relevant stimuli (price attribute and convenience; i.e. TR cues) and mood-relevant stimuli (visual appeal, social influence, vendor creativity; i.e. MR cues), perceived usefulness and perceived enjoyment to explore which factors affect online impulse buying behavior. Data from 446 customers who bought apparel products online were collected to evaluate the research model.The results indicate that convenience, visual appeal, social influence, and the vendor's creativity have a positive impact on perceived usefulness; price attribute, visual appeal, social influence, and the vendor's creativity have a positive impact on perceived enjoyment. The results also indicate that convenience and social influence are the two strongest predictors of perceived usefulness and perceived enjoyment respectively. Also, it was observed that impulse buying tendency and perceived enjoyment both significantly affect consumers' urge to buy impulsively, whereas perceived usefulness indirectly influences consumers' urge to buy impulsively through perceived enjoyment.
In the last decade, increasing applications of information technology (IT) within power industry has become a significant reality. As distributed power networks are gaining importance and renewables are getting a bigger ratio within energy production, Smart Grid applications have become essential, especially due to the intermittent nature of renewable energy resources. Smart Grid is a sustainable energy system that measures, checks, and controls the generation, transmission, and consumption of electrical energy in grids on all voltage levels. Smart Grid experts are driving forward the development of effective communication and information technologies for the build-up of intelligent power supply networks. Examples of these are control systems for the realization of virtual power plants, intelligent consumer data acquisition systems, and smart distribution management systems. Fuel cell-based hydrogen electricity, in comparison to other renewable energy sources, is more stable and predictable. Yet hydrogen power and smart-grids have many application points, mainly as means of energy storage. This study claims that hydrogen energy and smart-grids could also engage through an appliance of IT managed metering of hydrogen power production. Smart metering and management of hydrogen fuel cells would enable advanced planning of short-to-mid-term power productions and thus foster use of hydrogen power within distributed networks, as local community or industrial applications.
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