
doi: 10.5539/ijms.v7n6p27
<p>In today’s digital world, the Internet is having vigorous and transformational effects on consumer’s behavior. Over the past ten years, consumers all over the world have increasingly used the Internet as an efficient medium in their shopping experience. Online retailers are trying to influence consumers shopping attitude and behavior by creating renewed shopping experiences in order to sustain their business under the catastrophic destructive competition among online and offline retailers. In the catastrophic destructive rivalry environment, it is vital for retailers to understand online consumers’ beliefs, attitudes, shopping intentions and behavior toward online shopping. Therefore, this study was designated to clarify consumers’ online shopping intentions within the online shopping environment. This study extends the technology acceptance model (TAM) and consumer perceived value theory.</p><p>In the data gathering process, we used convenience sampling and face-to-face interviews techniques. The 400 valid questionnaires were gathered from the Internet shoppers who voluntarily participated with in our research in Osmaniye, Turkey. In order to test the research model, we used Partial Least Squares (PLS-PM) analysis method. The analysis results provide strong support for the research model. Particularly, perceived usefulness, hedonic value, and online shopping satisfaction dimensions have statistically positive effect on online shopping intentions. The findings suggest that perceived usefulness and positive online shopping attitude plays a significant role in increasing both perceived utilitarian and hedonic online shopping value. In addition, online shopping satisfaction and hedonic value have a significant effect on consumer online shopping intentions. Finally, analysis results give some useful insights into the consumers’ online shopping intentions.</p>
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 30 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
