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Full-Text Articles in Business
Rise Of Facebook, Amazon, Apple, Netflix, Google During Covid-19 Pandemic, Shivraj Pisal
Rise Of Facebook, Amazon, Apple, Netflix, Google During Covid-19 Pandemic, Shivraj Pisal
Electronic Theses, Projects, and Dissertations
FAANG is an acronym for Facebook, Apple, Amazon, Netflix, and Alphabet (which was previously known as Google), the five most important technology giants in the United States. The technology breakthroughs of these companies have had a significant impact on global economies, since they create jobs, link people, supply goods, and generate entertainment. As a result, a detailed analysis of FAANG stocks adds to the existing body of knowledge. Furthermore, because stock markets are very volatile and are influenced by a variety of known and unknown causes, it is vital to employ adequate tools for assessing their behavior (Jadhav et al., …
A Text-Mining Approach To Evaluate The Importance Of Information Systems Research Themes, Navid Aghakhani, Arben Asllani
A Text-Mining Approach To Evaluate The Importance Of Information Systems Research Themes, Navid Aghakhani, Arben Asllani
Communications of the IIMA
This study combines text-mining techniques and exploratory factor analysis to identify significant research themes in the information systems (IS) field during the last decade. We analyzed 483 papers that have been published in the Management Information Systems Quarterly (MISQ) journal since 2010. We found that the most published themes in the MISQ are: (1) the impact of information systems and digital innovation on organizational performance, (2) the influence of computer-mediated communication and social media within individuals and groups, (3) information systems development and project management, (4) design science, and (5) decision making and information Systems. We also perform econometric analysis …
Trust And Closeness: A Mixed Method For Understanding The Relationship Of Social Network Users, Lei Yang, Xue Wang, Margaret Meiling Meiling Luo
Trust And Closeness: A Mixed Method For Understanding The Relationship Of Social Network Users, Lei Yang, Xue Wang, Margaret Meiling Meiling Luo
Journal of International Technology and Information Management
Mutual trust among social networks users encourages positive communications, so it is critical to study trust in the context of online social networks. In this study, we built a model to calculate trust of social media users. Data was collected from Qzone (Tencent Technology Co., Ltd.), a SN service (also known as QQ) in China. We identified 150 QQ users and 3 friends from each of the users; data of these users were collected by Python program. The relationship between trust and closeness was constructed using an ordinary least squares regression model, and the factors that influence trust between social …