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Application of Fishbein model using predictive analytics for measuring purchase intention of the DTH consumers

机译:Fishbein模型的预测分析在测量DTH消费者购买意向中的应用

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The Indian direct to home (DTH) industry has seen an exponential rise due to the mandatory digitalisation and the internet penetration in the country. The objective of this paper is to use the Fishbein model in order to understand various service attributes that influence the purchase intention of the DTH customers and to test empirically the hypothesised relationship between the attributes and the purchase intention. A survey was conducted on 480 DTH customers to understand the factors that affect their purchase intention. Factors analysis and regression analysis has been used to analyse the data. Though a lot of research has been conducted on customer experience management (CEM) yet the idea of computing purchase intention for the DTH industry using the Fishbein model is a novel and unexplored idea. The results will help DTH operators in prioritising the service attributes from the customer's engagement point of view.
机译:由于强制性数字化和互联网在印度的普及,印度直接入户(DTH)行业呈指数级增长。本文的目的是使用Fishbein模型来理解影响DTH客户购买意愿的各种服务属性,并以经验方式检验这些属性与购买意愿之间的假设关系。对480位DTH客户进行了调查,以了解影响他们购买意愿的因素。因子分析和回归分析已用于分析数据。尽管已经对客户体验管理(CEM)进行了大量研究,但是使用Fishbein模型为DTH行业计算购买意向的想法是一种新颖且未经探索的想法。结果将帮助DTH运营商从客户参与的角度确定服务属性的优先级。

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