Business Commons^™

Assessing Asset Pricing In The Commercial Real Estate Sector With Julia Freybote, Julia Freybote

PDXPLORES Podcast

What are the factors that influence commercial real estate pricing? Assistant Professor of Finance and Real Estate, Julia Freybote’s research considers various factors including emerging data streams, investor behaviors, and risk factors such as climate change to investigate asset pricing in the commercial real estate market.

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Strategic Analysis Of Mirror: The Gym, Neeti Verma

Engineering and Technology Management Student Projects

The home gym equipment market has many local and global manufacturers competing for a higher market share. The market for gym equipment has traditionally been composed of commercial fitness facilities, hotels, and offices. The home equipment market has been rising amid COVID-19 pandemic. There have been a few new entrants with high technology in the home gym equipment market.

This paper looks at one such company and performs a strategic analysis of its product and would analyze the strategies used by the company to gain market share, performs external on the industry, and tries to propose a path forward for …

Competitiveness Of Mexico In The Technological Innovation Sector: An Assessment Of The Patents Granted By Mexican Government, Angel Contreras Cruz

Engineering and Technology Management Student Projects

This paper reviewed the existing literature regarding competitiveness in the technological innovation sector in Mexico. The gaps in the literature were found, and, later, these gaps aided the guidelines of this research. This paper is organized as follows. Section 2 provides a comprehensive literature review in the Mexican context and international context. Section 3 describes aspects of competitiveness in Mexico and the role of R&D organizations and universities related to patent activity. Section 4 covers how the patenting system works in Mexico and provides a description of the Mexican patent system. Section 5 explains the methodology used for this research. …

B-Line Sustainable Urban Delivery: Can Last-Mile Bicycle Delivery Survive The E-Commerce Minefield?, Madeleine Pullman, Jacen Greene, Wanying Shi, Stephan Kaplan

Business Faculty Publications and Presentations

As the population of cities in the western United States continues to boom, the demand for retail and wholesale food has followed suit. To deal with the accompanying increase in traffic and congestion from population and business growth, the city of Portland planned to increase bikeways and reduce the use of single-occupant vehicles to less than 30% of total commuters by 2026. Despite efforts to decrease dependence on vehicles, traffic congestion in Portland
continued to increase, and traditional vehicle delivery in the urban area became less and less efficient. As ride-sharing services and online retailers increased their presence in the …

Hierarchical Decision Model For Housing Decision In The Portland Metropolitan Area, Adediji Adewunmi

Engineering and Technology Management Student Projects

The Portland Metropolitan Area is one of the fastest growing in the Nation. A good percentage of in-migrants to Oregon end up in this area. This study aimed at creating a model to help individuals decide which city on the Oregon site of the Portland metro they should purchase housing.

Decision criteria was elicited from experts using a modified form of Delphi method, an HDM model was created and experts were asked to evaluate these criteria by making pair-wise comparisons. Once the HDM model was computed, the means were analyzed and it was determined that the city of Beaverton was …

Decision Making On Pursuing Computer Science Masters In United States, Chaitali Sunil Sawant

Engineering and Technology Management Student Projects

Graduate study comprises of sophisticated degree program which focuses on academic mastery or profession. It will build a strong foundation which emphasis on research and practical training. When it comes to pursuing master, there are many options to consider but the most important option is college and your interest. As USA is a home to many of the world’s most prestigious universities (including half of the global top 10), and hosts more international students than any other country. The master’s degree in USA is mostly research-based which helps the students to build skill set and knowledge that help them grow …

Try, Try Again: Lessons Learned From Success And Failure In Participatory Modeling, Eleanor J. Sterling, Moira Zellner, Karen E. Jenni, Kirsten Leong, Pierre D. Glynn, Todd K. Bendor, Pierre Bommel, Klaus Hubacek, Antonie J. Jetter, Rebecca Jordan, Laura Schmitt Olabisi, Michael Paolisso, Steven Gray

Engineering and Technology Management Faculty Publications and Presentations

Participatory Modeling (PM) is becoming increasingly common in environmental planning and conservation, due in part to advances in cyberinfrastructure as well as to greater recognition of the importance of engaging a diverse array of stakeholders in decision making. We provide lessons learned, based on over 200 years of the authors’ cumulative and diverse experience, about PM processes. These include successful and, perhaps more importantly, not-so-successful trials. Our collective interdisciplinary background has supported the development, testing, and evaluation of a rich range of collaborative modeling approaches. We share here what we have learned as a community of participatory modelers, within three …

Choosing The Best Software For Spec Review: An Analytic Hierarchy Process Approach, Bob Greenlee

Engineering and Technology Management Student Projects

Every manufacturing company is faced with the problem of accurately converting customer requirements into products and deliverables, including a thorough review of customer specifications. Software can help facilitate this tedious and time consuming process, but choosing or designing the best solution is difficult due to conflicting and poorly prioritized criteria.

This paper illustrates the use of an analytic hierarchy process, specifically the hierarchical decision model (HDM) tool developed at Portland State University, to select the best software solution for facilitating customer spec review. In addition to resolving the primary question of which software to use, it shows how the HDM …

Data Warehousing Class Project Report, Gaya Haciane, Chuan Chieh Lu, Rassaniya Lerdphayakkarat, Rudraxi Mitra

Engineering and Technology Management Student Projects

Data mining is widely described or defined as the discipline of: “making sense of the data”. In today’s day and age, the rise of ubiquity of information calls for more advanced and developed techniques to mine the data and come up with insights. Data mining finds applications in many different fields and industries: Whether it is in Embryology, Crops, Elections, or Business Marketing...etc. It is not a wild assumption to consider that every organization in the world has some data mining capabilities or its main activity necessitates it and they have some third party organization doing that for them. One …