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      A study of the impact of social media on consumers

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      International Journal of Market Research
      WARC Limited

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          Abstract

          Social media have provided new opportunities to consumers to engage in social interaction on the internet. Consumers use social media, such as online communities, to generate content and to network with other users. The study of social media can also identify the advantages to be gained by business. A multidisciplinary model, building on the technology acceptance model and relevant literature on trust and social media, has been devised. The model has been validated by SEM-PLS, demonstrating the role of social media in the development of e-commerce into social commerce. The data emerging from a survey show how social media facilitate the social interaction of consumers, leading to increased trust and intention to buy. The results also show that trust has a significant direct effect on intention to buy. The perceived usefulness (PU) of a site is also identified as a contributory factor. At the end of the paper, the author discusses the results, along with implications, limitations and recommended future research directions.

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          Most cited references41

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          Trust and TAM in Online Shopping: An Integrated Model

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            Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model

            (2014)
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              Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication

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                Author and article information

                Journal
                International Journal of Market Research
                International Journal of Market Research
                WARC Limited
                1470-7853
                2515-2173
                May 2014
                May 2014
                May 2014
                May 2014
                : 56
                : 3
                : 387-404
                Affiliations
                [1 ]Birkbeck, University of London
                Article
                10.2501/IJMR-2014-025
                ca80a8c4-9a4c-40cf-b360-e1cbffb8a169
                © 2014

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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