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Social Commerce Adoption Predictors: A Review and Weight Analysis
Social commerce is a rapidly growing platform of e-commerce that utilises social media and online social interaction to build brand awareness and increase sales. Buying and selling through social media can create a reliable and sustainable platform for buyers and vendors, offering an alternative pla...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134279/ http://dx.doi.org/10.1007/978-3-030-44999-5_15 |
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author | Sarker, Prianka Hughe, Laurie Dwivedi, Yogesh K. Rana, Nripendra P. |
author_facet | Sarker, Prianka Hughe, Laurie Dwivedi, Yogesh K. Rana, Nripendra P. |
author_sort | Sarker, Prianka |
collection | PubMed |
description | Social commerce is a rapidly growing platform of e-commerce that utilises social media and online social interaction to build brand awareness and increase sales. Buying and selling through social media can create a reliable and sustainable platform for buyers and vendors, offering an alternative platform to traditional online approaches. Research on social commerce began to achieve traction in 2006 and has grown since with a significant focus from academics who have offered new insight to many of the key topics. This study seeks to offer an additional contribution to the literature by analysing the predictors of consumer adoption of social commerce from existing studies by employing a weight analysis technique. The analysis considered seven dependent variables (along with their best and worst predictors) that are most frequently examined and are relevant to consumer adoption. The review presented in this study suggests that the intention to purchase is the most frequently examined dependent variable and that trust in the social commerce context is a key factor. |
format | Online Article Text |
id | pubmed-7134279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71342792020-04-06 Social Commerce Adoption Predictors: A Review and Weight Analysis Sarker, Prianka Hughe, Laurie Dwivedi, Yogesh K. Rana, Nripendra P. Responsible Design, Implementation and Use of Information and Communication Technology Article Social commerce is a rapidly growing platform of e-commerce that utilises social media and online social interaction to build brand awareness and increase sales. Buying and selling through social media can create a reliable and sustainable platform for buyers and vendors, offering an alternative platform to traditional online approaches. Research on social commerce began to achieve traction in 2006 and has grown since with a significant focus from academics who have offered new insight to many of the key topics. This study seeks to offer an additional contribution to the literature by analysing the predictors of consumer adoption of social commerce from existing studies by employing a weight analysis technique. The analysis considered seven dependent variables (along with their best and worst predictors) that are most frequently examined and are relevant to consumer adoption. The review presented in this study suggests that the intention to purchase is the most frequently examined dependent variable and that trust in the social commerce context is a key factor. 2020-03-06 /pmc/articles/PMC7134279/ http://dx.doi.org/10.1007/978-3-030-44999-5_15 Text en © IFIP International Federation for Information Processing 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Sarker, Prianka Hughe, Laurie Dwivedi, Yogesh K. Rana, Nripendra P. Social Commerce Adoption Predictors: A Review and Weight Analysis |
title | Social Commerce Adoption Predictors: A Review and Weight Analysis |
title_full | Social Commerce Adoption Predictors: A Review and Weight Analysis |
title_fullStr | Social Commerce Adoption Predictors: A Review and Weight Analysis |
title_full_unstemmed | Social Commerce Adoption Predictors: A Review and Weight Analysis |
title_short | Social Commerce Adoption Predictors: A Review and Weight Analysis |
title_sort | social commerce adoption predictors: a review and weight analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134279/ http://dx.doi.org/10.1007/978-3-030-44999-5_15 |
work_keys_str_mv | AT sarkerprianka socialcommerceadoptionpredictorsareviewandweightanalysis AT hughelaurie socialcommerceadoptionpredictorsareviewandweightanalysis AT dwivediyogeshk socialcommerceadoptionpredictorsareviewandweightanalysis AT rananripendrap socialcommerceadoptionpredictorsareviewandweightanalysis |