Shopping Online – Determining Consumer Acceptance of Online Shops
2011
- 628Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage628
- Abstract Views376
- Downloads252
Article Description
After more than ten years of widespread use of e-commerce, there are still only a few models to specify the connectionbetween consumer acceptance and the characteristics of an online shop. In particular, the available literature does not provideany constructs to evaluate the most basic functionality of an online shop: its search features. In this paper we describe ashopping experiment to validate a model that includes consumer characteristics as well as consumers' evaluations of a shop’ssearch features. Results demonstrate that (i) contrary to consumer research findings, only consumer involvement influencesthe consumers’ evaluation of the online shop, not the prior product knowledge; (ii) the relevance of search results and theevaluation of filtering mechanisms have a major impact on the perceived usefulness of the shop; and (iii) the ease of use ofthe shop does not affect perceived usefulness, as this relationship is fully mediated by the perceived costs of the informationsearch process.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know