E-learning has become a most popular learning approach of higher education in Sri Lanka, due to the advancements of Information Technology. This study focused on the undergraduates' acceptance of elearning as an effective tool. The successfulness of implementing e-learning requires the understanding of end-user acceptance process. Therefore, this study focused on investigating the acceptance of e-learning approach among undergraduates in Western Province, Sri Lanka. The aim of this research was to provide a set of factors to be considered when an E-learning activity is planned and proposed to E-learners in universities of Sri Lanka. The Technology Acceptance Model which was modified by including some factors was used as the basic framework of this study which was suitable for achieving the objectives of the research. This study was based on total sample of 209 students who are following Computing degrees in the universities located in Western Province, Sri Lanka. The results of this study suggested that university students tend to focus more on perceived ease of use on e-learning and the students' attitude has more influence on intention to use elearning. So it could be concluded that providing more technological facilities with infrastructure would increase the positive attitude towards using e-learning among university students and behavioral intention to use.
Consumer reviews are considered to be of utmost significance in the field of e-commerce, for they have a stronghold in deciding the revenue of a business. When arriving at a purchasing decision, a majority of online consumers rely on reviews since they offer credible means of mining opinions of other consumers regarding a particular product. The trustworthiness of online reviews directly affects a company's reputation and profitability, which is why certain business owners pay fraudsters to generate deceptive reviews. Such generation of deceptive reviews which manipulate the purchasing decision of consumers is a persistent and harmful issue. Hence, developing methods to assist businesses and consumers by distinguishing between credible reviews and deceptive reviews remains to be a crucial, yet challenging task. In view of that, this paper unravels prominent techniques that have been proposed to solve the issue of deceptive review detection. Accordingly, the primary goal of this paper is to provide an in-depth analysis of current research on detecting deceptive reviews and to identify the characteristics, strengths, and bottlenecks of those methodologies which may need further improvements.
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