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What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the 'Digital Service Usage Satisfaction Model'

机译:什么影响了移动支付中的使用满足感? 建模用户生成内容以开发“数字服务使用满足模型”

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Mobile payment services have become increasingly important in daily lives in India due to multiple planned and unplanned events. The objective of this study is to identify the determinants of usage satisfaction of mobile payments which could enhance service adoption. The "Digital Service Usage Satisfaction Model" has been proposed and validated by combining technology adoption and service science literature. First the data was extracted from Twitter based on hashtags and keywords. Then using sentiment mining and topic modelling the large volumes of text were analysed. Then network science was also used for identifying clusters among associated topics. Then, using content analysis methodology, a theoretical model was developed based on literature. Finally using multiple regression analysis, we validated the proposed model. The study establishes that cost, usefulness, trust, social influence, credibility, information privacy and responsiveness factors are more important to increase the usage satisfaction of mobile payments services. Also methodologically, this is an endeavour to validate a new approach which uses social media data for developing a inferential theoretical model.
机译:由于多种计划和意外事件,移动支付服务在印度的日常生活中越来越重要。本研究的目的是确定可能会满足移动支付的决定因素,可以提高服务收养。通过结合技术采用和服务科学文献,已经提出和验证了“数字服务使用满足模型”。首先,基于HASHTAG和关键字从Twitter中提取数据。然后使用情感挖掘和主题建模大量的文本进行了分析。然后,网络科学也用于识别相关主题之间的集群。然后,使用内容分析方法,基于文献开发了理论模型。最后使用多元回归分析,我们验证了所提出的模型。该研究确定了成本,有用,信任,社会影响力,可信度,信息隐私和响应性因素更为重要,可以提高移动支付服务的使用情况。另外,这是验证使用社交媒体数据来开发推论理论模型的新方法的努力。

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