3 research outputs found

    A Comparative Economic Analysis for Cloud Computing

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    Analyzing the economic viability of using cloud computing services within an organization is an important aspect for business today. Significant cost savings can be obtained through selecting the best net benefit alternative between the defender and multiple challengers of business technology systems being considered. A simple definition of cloud computing is the use of software systems and storage accessed through the Internet. Traditionally, these services are managed and provided from in-house, on-site systems. There are several cloud computing service providers to choose from. This study provides an economic comparison between on-site, Amazon Web Services, and the Google Cloud Platform. This analysis uses present worth, and the minimum attractive rate of return using a five (5) year time-frame. A benefit-cost analysis is provided to determine if the efficiency ratios warrant viability of each alternative. An incremental analysis follows, using each viable alternative to find the best option that provides the highest net benefit to the firm. Outcomes from this methodology will vary depending on the specifics of the alternatives being examined. In this example scenario, a fully remote, cloud computing based company is the recommended strategy to pursue

    Policing Politics: Facebook and a Politician\u27s Right to Free Speech

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    Advancements in technology are not without their own ethical concerns. Social media technology provides for platforms which allow users to interact and exchange ideas in virtual communities. Of these Facebook is among the leaders of the pack with an estimated 2.7 billion monthly active users globally as of the second quarter of 2020 and estimated 190 million users in the United States as of October 2020. This wide reach, in combination with low cost for advertisement makes it one of the platforms of choice for Organization to promote their products, services or agenda. This accounts for why 98% of the Facebook total revenue was from advertisements. With this though presents an ethical concern, the spread of misinformation. Following the 2016 elections, investigations uncovered the Russian operative embarked on a mass campaign of spreading misinformation on Facebook to influence the American election, and this went unnoticed by Facebook. This poses a security threat America’s nationhood and clear actions need to be taken to mitigate this ethical concern. This study assesses the case study in (Hoffman 2020) and provides recommendations for Facebook to ban all political advertisement from its platform in a bid to mitigate this ethical concern on the spread of misinformation as politics is concerned

    Operating Strategy for Semiconductor Industry During COVID 19: Pandemic Working Model

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    The impacts of the COVID-19 pandemic have been felt across various industries around the world, including the semiconductor industry. The semiconductor industry was boosted by pandemic restrictions as changing consumer habits—driven by the rise in remote work, distance learning, gaming, entertainment, and internet shopping—significantly increased demand for consumer electronic devices to the point that demand for semiconductors far outpaced production. Given the globality and complexity of the semiconductor supply chain, many companies are exploring ways to permanently change workplace collaboration for their employees. In this paper, the Hierarchical Decision Modeling (HDM) method is used to evaluate four possible pandemic semiconductor industry working models - Fully Remote, Hybrid, Fully Onsite & Satellite Workspaces. Experts from the industry evaluated the model to determine the most important criteria, sub-criteria and ultimately select the most desirable alternative. The results from the evaluation show that Hybrid option received the highest score. In this paper, we explore the motivation behind this study, the methodology behind the HDM model, the evaluation of the model, analysis and interpretation of the results, limitations of the study, scope for future research, and conclusions
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