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Full-Text Articles in Physical Sciences and Mathematics
Small Business Use Of Internet Marketing: Findings From Case Studies, Maya Demishkevich
Small Business Use Of Internet Marketing: Findings From Case Studies, Maya Demishkevich
Walden Dissertations and Doctoral Studies
Internet marketing is critical for meeting changing consumer needs and staying competitive in the business environment. Small business owners need strategies on how to use Internet marketing to promote their products or services. The purpose of this multiple case study was to explore how 5 small business owners in Maryland developed and implemented an online marketing strategy. Participants were recruited for their roles as the chief decision maker of their business; additional prerequisites for their participation were that they used Internet marketing, represented different industries, and had fewer than 20 employees. Data came from semi-structured interviews with the small business …
Mining User Viewpoints In Online Discussions, Minghui Qiu
Mining User Viewpoints In Online Discussions, Minghui Qiu
Dissertations and Theses Collection (Open Access)
Online discussion forums are a type of social media which contains rich usercontributed facts, opinions, and user interactions on diverse topics. The large volume of opinionated data generated in online discussions provides an ideal testbed for user opinion mining. In particular, mining user opinions on social and political issues from online discussions is useful not only to government organizations and companies but also to social and political scientists. In this dissertation, we propose to study the task of mining user viewpoints or stances from online discussions on social and political issues. Specifically, we will talk about our proposed approaches for …
Effects Of Investor Sentiment Using Social Media On Corporate Financial Distress, Tarek Hoteit
Effects Of Investor Sentiment Using Social Media On Corporate Financial Distress, Tarek Hoteit
Walden Dissertations and Doctoral Studies
The mainstream quantitative models in the finance literature have been ineffective in detecting possible bankruptcies during the 2007 to 2009 financial crisis. Coinciding with the same period, various researchers suggested that sentiments in social media can predict future events. The purpose of the study was to examine the relationship between investor sentiment within the social media and the financial distress of firms Grounded on the social amplification of risk framework that shows the media as an amplified channel for risk events, the central hypothesis of the study was that investor sentiments in the social media could predict t he level …