Filtering by
- All Subjects: COVID-19
- Creators: Department of Information Systems
- Creators: Department of Psychology
- Resource Type: Text
- Status: Published
The COVID-19 pandemic’s unprecedented nature caused significant disruptions in the global supply chain industry, resulting in setbacks for supply chain operations. The repercussions of the supply chain challenges impacted various industries. This thesis seeks to investigate the impact of the COVID-19 pandemic on the supply chain industry, with a focus on how disruptions have affected the efficiency and resilience of companies within this sector. Data analytics will be leveraged to analyze these disruptions and improve supply chain operations.
Early stages of the COVID-19 pandemic introduced a change in communication norms in regard to well-being. People traversed through different forms of communication to adapt to policies and regulations that limited in-person interactions to prevent the spread of the COVID-19 virus. Social interactions have been found to be an innate human need, important to one’s health and well-being. The study looked at the relationship between socializing and well-being during the state of the COVID-19 pandemic. Socializing variables consisted of remote and in-person socializing which in-person socializing was divided into two distinct categories. In-person socializing was divided into in-person safe socializing, indicating socializing that was safe from the risk of contracting the virus, and in-person unsafe socializing which indicates that socializing was at risk of contracting the virus. Additionally, the current study also investigated how age moderates this relationship between socializing and well-being. SEM analyses reported that in-person unsafe socializing has a significant positive association with well-being outcomes: anxiety and depression which indicate high levels of anxiety and depression with increased in-person unsafe socializing. The study also found remote socializing to have a significant positive association with the well-being outcome: positive affect, indicating increased levels of positive affect with increased remote socializing. Regression analyses looked at moderation by age, finding no significant interactions of age between socializing and well-being. Findings suggest the beneficial role of remote socializing and although remote socializing cannot replace in-person interactions, it serves as a supplemental resource during unpredictable events such as the COVID-19 pandemic.
The coronavirus pandemic has proven to be a challenging time for the Hispanic community, facing impacts on stress and depression symptoms at disproportionate rates. The current study examined the associations between socioeconomic COVID stressors and depression symptoms; and coping styles, including problem-focused and emotion-focused coping, and depression symptoms amongst Mexican heritage parents. Coping styles were also examined as a moderator of the association between socioeconomic COVID stressors and depression symptoms
Corporate buzzword terms like “big data” and “data analytics” are vague in meaning, and are thrown around by media sources often enough to obfuscate their actual meanings. These concepts are then associated with company-wide initiatives beyond the reach of the individual, in a nebulous world where people know that analytics happens, but don’t understand what it is.
The power of data analytics is not reserved for company-wide initiatives, or only employed by Silicon Valley tech start-ups. Its impacts are visible down at the team or department level, and can be conducted by the individual employees. The field of data analytics is evolving, and within it exists a rapid transition in which the individual employee is becoming a source for insight and value creation through the adoption of analytics based approaches.
The purpose of this thesis is to showcase an example of this claim, and demonstrate how an analytics based approach was applied to an existing accounting process to create new insights and information. To do this, I will discuss my development of an Excel based Dashboard Analytics tool, which I completed during my internship with Bechtel Corporation throughout the summer of 2018, and I will use this analytics tool to demonstrate the improvements that small-scale analytics had on a pre-existing process. During this discussion, I will address conceptual aspects of database design that related to my project, and will show how I applied this classroom learning to a working environment. The paper will begin with an overview of the desired goals of the group in which I was based, and will then analyze how the needs of the group led to the creation and implementation of this new analytics-based reporting tool. I will conclude with a discussion of the potential future use of this tool, and how the inclusion of these analytical approaches will continue to shape the working environment.
This research study aims to find out the way how goodwill should be evaluated. This paper is about accounting for goodwill which will provide general information about goodwill value, especially of public companies. Additionally, I will discuss sources of goodwill, the importance of goodwill, why it is important to evaluate goodwill correctly, and what methods have been applied to evaluate goodwill. This thesis will analyze the advantages and disadvantages of both methods of accounting for goodwill which are the impairment testing method and the amortization method. This study is done by researching studies, journal articles, reviews, books, and websites about accounting. Lastly, this study will provide a suggestion for how goodwill should be evaluated effectively.
