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Articles 1 - 3 of 3
Full-Text Articles in Business
Successfully Scaling Digital Technology Ventures: An Empirical Study Of The Strategic Choices That Maximize Firm Value, Scott Morris
Successfully Scaling Digital Technology Ventures: An Empirical Study Of The Strategic Choices That Maximize Firm Value, Scott Morris
Dissertations
Our study aims to understand the choices managers working for subscription-based digital ventures must make at arguably the most critical juncture of their firm’s lifecycle. With few slack resources to repair mistakes, managers at these scaling firms must make decisions that are larger in scope and scale than in the start-up phase. Tradeoffs are often required as decision-makers face choices such as investing more resources in sales and marketing to drive growth or in product development to improve quality and add new products or features. In many instances, the question is whether to forego some growth opportunities to maximize profitability …
Multivariate Econometric Regression Of Factors That Determine Form Of Disposition Of Human Remains Using Archival Death Certificates, Salt Lake County, Utah, Delphine T. Feigenbaum
Multivariate Econometric Regression Of Factors That Determine Form Of Disposition Of Human Remains Using Archival Death Certificates, Salt Lake County, Utah, Delphine T. Feigenbaum
All Graduate Plan B and other Reports, Spring 1920 to Spring 2023
This project considers the inescapable and burgeoning issues concerning the long-term allocation of scarce natural resources between the living and the deceased. America’s population growth will demand more space and maintenance resources used for disposition. To meet the forthcoming exigencies, economic planners need to address natural resource availability for future generations while incorporating sustainable and innovative technologies to prohibit environmental injustice.
The goals are to answer the following questions: How do demographical variables, age and sex influence the choice of disposition? How do cause of death variables influence the choice of disposition? I also evaluate the hypothesis that the average …
A Hybrid Deep Learning Approach For Crude Oil Price Prediction, Hind Aldabagh, Xianrong Zheng, Ravi Mukkamala
A Hybrid Deep Learning Approach For Crude Oil Price Prediction, Hind Aldabagh, Xianrong Zheng, Ravi Mukkamala
Computer Science Faculty Publications
Crude oil is one of the world’s most important commodities. Its price can affect the global economy, as well as the economies of importing and exporting countries. As a result, forecasting the price of crude oil is essential for investors. However, crude oil price tends to fluctuate considerably during significant world events, such as the COVID-19 pandemic and geopolitical conflicts. In this paper, we propose a deep learning model for forecasting the crude oil price of one-step and multi-step ahead. The model extracts important features that impact crude oil prices and uses them to predict future prices. The prediction model …