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A Trust Evaluation Model for Social Commerce Based on BP Neural Network
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作者 Lei Chen Ruimei Wang 《Journal of Data Analysis and Information Processing》 2016年第4期147-158,共12页
Recent years we have witnessed the rapid growth of social commerce in China, but many users are not willing to trust and use social commerce. So improving consumers’ trust and purchase intention has become a crucial ... Recent years we have witnessed the rapid growth of social commerce in China, but many users are not willing to trust and use social commerce. So improving consumers’ trust and purchase intention has become a crucial factor in the success of social commerce. Business factors, environment factors and social factors including twelve secondary indexes build up a social commerce trust evaluation model. Questionnaires are handed out to collect twelve secondary indexes scores as input of BP neural network and composite score of trust as output. Model simulation shows that both training samples and test samples have low level of average error and standard deviation, which certify that the model has good stability and it is a good method for evaluating social commerce trust. 展开更多
关键词 social commerce Trust Evaluation TRUST BP Neural Network Evaluation Model
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Innovation and Evaluation of Technology Acceptance Model (Tam) in S-Commerce: A Case of Social Media Platforms in Ghana
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作者 Peprah Rene Owusu Ennin Peter Asiedu +1 位作者 Jiangming Ji Francis Atta Sarpong 《Journal of Computer and Communications》 2022年第3期100-124,共25页
Electronic commerce is quickly increasing in several countries, most notably in developing countries. A new electronic-commerce segment known as social commerce has evolved due to the popularity of social media. Consu... Electronic commerce is quickly increasing in several countries, most notably in developing countries. A new electronic-commerce segment known as social commerce has evolved due to the popularity of social media. Consumer trust is important to social commerce success and impacts purchase choices. In modern times, majority of businesses have changed how from the traditional businesses and migrated to social commerce. Electronic commerce was the first of its sort, followed by social commerce, which conducted business via social networking platforms. Identifying the factors that influence social commerce use enables businesses to enhance those features and boost revenue. Thus, the purpose of this study was to examine how increased technology usage influences the social commerce activities of Ghanaian businessmen and women. A review of the literature resulted in the development of a conceptual model. Six hundred and twenty-five responses from Ghanaian enterprises and women who use e-commerce platforms were used to assess the conceptual approach. Partial Least Square Structural Equation Modeling (PLS SEM) was used to validate the model. The reliability and validity of the measuring apparatus were determined using measurement model analysis. To examine the model’s fit and assumptions, we used structural model analysis. Five hypotheses were supported by the structural model data. Effort Expectancy, Perceived Ease of Use, Performance Expectancy, Perceived Utility, and Trust were shown to be the most influential criteria affecting behavioral intention to use s-commerce in Ghana. The findings of this research have major significance for academics and practitioners of social trade. 展开更多
关键词 Technology Acceptance Model (TAM) Smart PLS SEM social commerce Electronic commerce
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Mediating role of brand app trust in the relationship between antecedents and purchase intentions-Iranian B2C mobile apps 被引量:1
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作者 Mohammad Mahdi Movahedisaveji Badiea Shaukat 《Journal of Management Analytics》 EI 2020年第1期69-104,共36页
This study investigates the mediating role of brand app trust in the relationship between brand app antecedents and purchase intentions via a brand mobile app.It explores the mediating potential of brand and platform ... This study investigates the mediating role of brand app trust in the relationship between brand app antecedents and purchase intentions via a brand mobile app.It explores the mediating potential of brand and platform trust in this relationship between antecedents and purchase intentions and also highlights which brand antecedents are useful for directly or indirectly establishing trust towards purchasing via a mobile app in the Iranian mobile commerce market.This study uses survey data collected through an online questionnaire form and applies the partial least squares method to extract its findings.All of the estimation results are found to be unbiased and robust.The results show that brand app trust plays a mediating role in the relationship between the brand app antecedents of word-of-mouth recommendation,subjective norms,perceived image(social antecedents),mobile computing self-efficacy(consumer-based antecedent),and perceived ease of use(system antecedent)and purchase intentions via a brand mobile app in Iran. 展开更多
关键词 brand app antecedents brand trust brand app trust platform trust purchasing intention via mobile app social commerce Iran
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