Congratulations to Haodong Chang, mentored by Dr. Kuan-Chou Chen in Quantitative Business Studies, for 1st place in the Graduate Student Poster Presentation for “An Empirical Comparison of the Impact of China Stock Markets on the US and Global Economy – A Systems Dynamics Simulation Model”.
Congratulations are also in order for Adam Ruckman and Kelsi Zalavadia, mentored by Dr. Kuan-Chou Chen and Dr. Carin Chuang in Quantitative Business Studies, for 1st place in the Undergraduate Student Oral Presentation for “Developing Marketing Decision Support System in Organizations Through the Use of Enterprise Simulation Model”
Well done! For more information on their award winning research, please see the abstracts below.
There were a total of 18 students from the College of Business who researched 13 projects this year who participated in Student Research Day on both campuses. They all gained experience in their chosen disciplines and great insights into unique topics in their fields. They all did a great job and went the extra mile in learning and sharing their discoveries with the community.
Here is a list of all of the student research presented to PNW on Student Research Day.
Student Presenter: Haodong Chang
Faculty Mentor: Kuan-Chou Chen
Title: An Empirical Comparison of the Impact of China Stock Markets on the US and Global Economy “A Systems Dynamics Simulation Model
Abstract: The purpose of this project is to discovering the influence of Chinese economy, and how china’s and U.S.’s economic variables affect stock markets. China has become the second-largest economic entity in the world since 2010, and its international competition and capital market continue to expand. The sharp volatility of China stock market will inevitably affect other countries, especially upon the world’s biggest economy, the United States.
By analyzing empirical cases of China and U.S.’s stock market, a Systems Dynamics Simulation model will be developed to explore the similarities and differences on these two stock market and how it impacts each other. The objectives of this study are to help decision makers to further understand the tremendous influence about China economy in American and Chinese stock market, and to guide financial investors have the right decision about the investments on both markets.
This study involves two major phases; in the phase one, literature review serve as foundation to gather related information regarding the sectors that affect US market economic system which include Exchange Rates, Inflation Rates, Interest rates and News. A literature review is thoroughly done in order to understand the influence from china’s stock markets to other countries. Also, many variables, relationships, outcomes and empirical can be provided as systematic data.
In the phase two A Systems Dynamics Simulation Model would be constructed as a decision support system. The system dynamics is used to describe, understand and explain how each variables and trend followers’ strategies determine share price oscillations. In the phase one, the method includes some variables, relationships and outcome that are not entirely quantified. These will be clarified and estimated in more detail in phase two. Experimental data from phase one will be adopted to serve as foundation for model simulation. Model validations of the simulation will be implemented by comparisons between computational results and published experimental data.
Through showing the relationship in each economic variables between two countries, this research provide valuable information regarding U.S. and China’s stock market and how do they affect each other. By testing the system dynamic model, relationships between the major variables to U.S. stock market can be predicted for investors and policy makers.
Student Presenters: Kelsi Zalavadia Adam Ruckman
Faculty Mentor: Kuan-Chou Chen and Carin Chuang
Title: Developing Marketing Decision Support System in Organizations Through the Use of Enterprise Simulation Model
Abstract: The purpose of this research is to study the effects of the marketing module of the ERP simulation to see the impact caused. In order to research the effect marketing has on an ERP system we will be using a SAP ERP simulation game. That way we can find the potential impact that we may have on customers directly when using the ERP simulation software. The objectives in this study are to develop an understanding of the marketing module of ERPSim and experience the pros and cons of the marketing module of ERPSim.
Marketing plays an important role as it not only helps the non-selling products to boost up the sales, but also help the company to get profit through the best-selling products that consumers love. Especially sales and marketing are part of the enterprise resource planning (ERP) and are generally incorporated into the marketing module of corporate ERP Systems. The main functions of the sales and marketing modules of ERPs is sales, accounts, receiving, and shipping. In this study we applied the strategy to only market the least-selling products in different regions. We learned during the process that it is good idea to not spend a lot on marketing because at the end, it lowers your net income. We also are trying to learn what level of marketing is the proper amount to be effective in generating sales while not cutting into the bottom line. While marketing more than one product, we also have to make sure that we do not market them in the same region because it will create a competition amongst the two or more products of the same company which later can lower the number of sales overall. We really enjoyed developing a hands-on understanding of the concepts underlying enterprise systems and learned how to formulate and execute a strategy in a real-time business environment.